diff --git "a/log/log-train-2022-09-19-08-50-42-0" "b/log/log-train-2022-09-19-08-50-42-0"
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+++ "b/log/log-train-2022-09-19-08-50-42-0"
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+2022-09-19 08:50:42,670 INFO [train.py:949] (0/2) Training started
+2022-09-19 08:50:45,933 INFO [train.py:959] (0/2) Device: cuda:0
+2022-09-19 08:50:45,935 INFO [train.py:973] (0/2) {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.19', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': '125d34703f898b5ca54f6f4a925f2bc2d7a5ba98', 'k2-git-date': 'Wed Aug 31 04:50:54 2022', 'lhotse-version': '1.6.0', 'torch-version': '1.12.1+cu113', 'torch-cuda-available': True, 'torch-cuda-version': '11.3', 'python-version': '3.8', 'icefall-git-branch': 'uk', 'icefall-git-sha1': '42c4476-dirty', 'icefall-git-date': 'Thu Sep 15 16:29:29 2022', 'icefall-path': '/home/proger/icefall', 'k2-path': '/home/proger/k2/k2/python/k2/__init__.py', 'lhotse-path': '/home/proger/.local/lib/python3.8/site-packages/lhotse/__init__.py', 'hostname': 'rt', 'IP address': '127.0.1.1'}, 'world_size': 2, 'master_port': 12354, 'tensorboard': True, 'num_epochs': 40, 'start_epoch': 26, 'start_batch': 0, 'exp_dir': PosixPath('pruned_transducer_stateless5/exp-uk-filtered2'), 'bpe_model': 'uk/data/lang_bpe_250/bpe.model', 'initial_lr': 0.003, 'lr_batches': 5000, 'lr_epochs': 6, 'context_size': 2, 'prune_range': 5, 'lm_scale': 0.25, 'am_scale': 0.0, 'simple_loss_scale': 0.5, 'seed': 42, 'print_diagnostics': False, 'save_every_n': 4000, 'keep_last_k': 30, 'average_period': 100, 'use_fp16': True, 'num_encoder_layers': 18, 'dim_feedforward': 1024, 'nhead': 4, 'encoder_dim': 256, 'decoder_dim': 512, 'joiner_dim': 512, 'dynamic_chunk_training': True, 'causal_convolution': True, 'short_chunk_size': 25, 'num_left_chunks': 4, 'full_libri': True, 'manifest_dir': PosixPath('uk/data/fbank'), 'max_duration': 600, 'bucketing_sampler': True, 'num_buckets': 30, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'blank_id': 0, 'vocab_size': 250}
+2022-09-19 08:50:45,935 INFO [train.py:975] (0/2) About to create model
+2022-09-19 08:50:46,059 INFO [train.py:979] (0/2) Number of model parameters: 30053246
+2022-09-19 08:50:46,122 INFO [checkpoint.py:112] (0/2) Loading checkpoint from pruned_transducer_stateless5/exp-uk-filtered2/epoch-25.pt
+2022-09-19 08:50:46,452 INFO [checkpoint.py:131] (0/2) Loading averaged model
+2022-09-19 08:50:48,851 INFO [train.py:994] (0/2) Using DDP
+2022-09-19 08:50:48,947 INFO [train.py:1002] (0/2) Loading optimizer state dict
+2022-09-19 08:50:49,141 INFO [train.py:1010] (0/2) Loading scheduler state dict
+2022-09-19 08:50:49,142 INFO [asr_datamodule_uk.py:422] (0/2) About to get ('train-other-shuffled-filtered2',) cuts
+2022-09-19 08:50:49,802 INFO [asr_datamodule_uk.py:225] (0/2) Enable MUSAN
+2022-09-19 08:50:49,802 INFO [asr_datamodule_uk.py:226] (0/2) About to get Musan cuts
+2022-09-19 08:50:51,250 INFO [asr_datamodule_uk.py:254] (0/2) Enable SpecAugment
+2022-09-19 08:50:51,250 INFO [asr_datamodule_uk.py:255] (0/2) Time warp factor: 80
+2022-09-19 08:50:51,250 INFO [asr_datamodule_uk.py:267] (0/2) Num frame mask: 10
+2022-09-19 08:50:51,250 INFO [asr_datamodule_uk.py:280] (0/2) About to create train dataset
+2022-09-19 08:50:51,250 INFO [asr_datamodule_uk.py:309] (0/2) Using DynamicBucketingSampler.
+2022-09-19 08:50:52,593 INFO [asr_datamodule_uk.py:324] (0/2) About to create train dataloader
+2022-09-19 08:50:52,593 INFO [asr_datamodule_uk.py:434] (0/2) About to get test-other (for dev) cuts
+2022-09-19 08:50:52,594 INFO [asr_datamodule_uk.py:355] (0/2) About to create dev dataset
+2022-09-19 08:50:52,687 INFO [asr_datamodule_uk.py:374] (0/2) About to create dev dataloader
+2022-09-19 08:50:52,687 INFO [train.py:1067] (0/2) Loading grad scaler state dict
+2022-09-19 08:51:02,253 INFO [train.py:885] (0/2) Epoch 26, batch 0, loss[loss=0.249, simple_loss=0.3379, pruned_loss=0.08001, over 14343.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03673, over 210.00 utterances.], tot_loss[loss=0.249, simple_loss=0.3379, pruned_loss=0.08001, over 14343.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03673, over 210.00 utterances.], batch size: 210, lr: 1.82e-04
+2022-09-19 08:51:02,319 INFO [distributed.py:995] (0/2) Reducer buckets have been rebuilt in this iteration.
+2022-09-19 08:51:31,571 INFO [train.py:885] (0/2) Epoch 26, batch 50, loss[loss=0.2949, simple_loss=0.3711, pruned_loss=0.1093, over 14352.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03402, over 244.00 utterances.], tot_loss[loss=0.2635, simple_loss=0.3363, pruned_loss=0.09536, over 627533.15 frames. utt_duration=271.9 frames, utt_pad_proportion=0.06759, over 9282.05 utterances.], batch size: 244, lr: 1.82e-04
+2022-09-19 08:52:00,952 INFO [train.py:885] (0/2) Epoch 26, batch 100, loss[loss=0.3428, simple_loss=0.4018, pruned_loss=0.1419, over 14292.00 frames. utt_duration=203.4 frames, utt_pad_proportion=0.0405, over 283.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3503, pruned_loss=0.1007, over 1108667.65 frames. utt_duration=239.5 frames, utt_pad_proportion=0.06628, over 18633.34 utterances.], batch size: 283, lr: 1.82e-04
+2022-09-19 08:52:30,402 INFO [train.py:885] (0/2) Epoch 26, batch 150, loss[loss=0.6555, simple_loss=0.6991, pruned_loss=0.306, over 12459.00 frames. utt_duration=63.07 frames, utt_pad_proportion=0.1477, over 810.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3431, pruned_loss=0.09883, over 1477352.86 frames. utt_duration=260.7 frames, utt_pad_proportion=0.06541, over 22800.15 utterances.], batch size: 810, lr: 1.82e-04
+2022-09-19 08:53:00,235 INFO [train.py:885] (0/2) Epoch 26, batch 200, loss[loss=0.1348, simple_loss=0.1837, pruned_loss=0.04298, over 13007.00 frames. utt_duration=1578 frames, utt_pad_proportion=0.1276, over 33.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3452, pruned_loss=0.09919, over 1760035.08 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07124, over 28995.13 utterances.], batch size: 33, lr: 1.82e-04
+2022-09-19 08:53:29,670 INFO [train.py:885] (0/2) Epoch 26, batch 250, loss[loss=0.1752, simple_loss=0.2417, pruned_loss=0.0543, over 12337.00 frames. utt_duration=2058 frames, utt_pad_proportion=0.1466, over 24.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3491, pruned_loss=0.1018, over 1989136.32 frames. utt_duration=244.7 frames, utt_pad_proportion=0.06918, over 32707.95 utterances.], batch size: 24, lr: 1.82e-04
+2022-09-19 08:53:59,364 INFO [train.py:885] (0/2) Epoch 26, batch 300, loss[loss=0.1638, simple_loss=0.2013, pruned_loss=0.06314, over 12998.00 frames. utt_duration=1577 frames, utt_pad_proportion=0.1263, over 33.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3504, pruned_loss=0.102, over 2161362.15 frames. utt_duration=236.9 frames, utt_pad_proportion=0.0715, over 36722.37 utterances.], batch size: 33, lr: 1.82e-04
+2022-09-19 08:54:28,582 INFO [train.py:885] (0/2) Epoch 26, batch 350, loss[loss=0.284, simple_loss=0.3611, pruned_loss=0.1035, over 14269.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.04293, over 154.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3502, pruned_loss=0.1014, over 2297335.08 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07283, over 39333.62 utterances.], batch size: 154, lr: 1.82e-04
+2022-09-19 08:54:57,942 INFO [train.py:885] (0/2) Epoch 26, batch 400, loss[loss=0.2978, simple_loss=0.3693, pruned_loss=0.1132, over 14322.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.03839, over 226.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3444, pruned_loss=0.09875, over 2406124.29 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07109, over 38801.55 utterances.], batch size: 226, lr: 1.82e-04
+2022-09-19 08:55:27,218 INFO [train.py:885] (0/2) Epoch 26, batch 450, loss[loss=0.2845, simple_loss=0.3573, pruned_loss=0.1058, over 14377.00 frames. utt_duration=275.3 frames, utt_pad_proportion=0.03405, over 210.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3431, pruned_loss=0.09842, over 2484682.01 frames. utt_duration=250 frames, utt_pad_proportion=0.07071, over 39998.29 utterances.], batch size: 210, lr: 1.82e-04
+2022-09-19 08:55:56,733 INFO [train.py:885] (0/2) Epoch 26, batch 500, loss[loss=0.3437, simple_loss=0.3934, pruned_loss=0.147, over 14240.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04261, over 335.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.34, pruned_loss=0.09649, over 2552900.08 frames. utt_duration=256.4 frames, utt_pad_proportion=0.06963, over 40057.34 utterances.], batch size: 335, lr: 1.82e-04
+2022-09-19 08:55:57,367 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-316000.pt
+2022-09-19 08:56:26,666 INFO [train.py:885] (0/2) Epoch 26, batch 550, loss[loss=0.2749, simple_loss=0.3357, pruned_loss=0.1071, over 13993.00 frames. utt_duration=572.7 frames, utt_pad_proportion=0.06117, over 98.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3427, pruned_loss=0.09721, over 2600353.57 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07274, over 42167.89 utterances.], batch size: 98, lr: 1.82e-04
+2022-09-19 08:56:56,040 INFO [train.py:885] (0/2) Epoch 26, batch 600, loss[loss=0.3292, simple_loss=0.3837, pruned_loss=0.1373, over 14356.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03578, over 195.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3449, pruned_loss=0.09916, over 2641211.40 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07272, over 43150.62 utterances.], batch size: 195, lr: 1.82e-04
+2022-09-19 08:57:25,241 INFO [train.py:885] (0/2) Epoch 26, batch 650, loss[loss=0.3153, simple_loss=0.423, pruned_loss=0.1038, over 13620.00 frames. utt_duration=98.68 frames, utt_pad_proportion=0.07774, over 560.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3441, pruned_loss=0.09907, over 2671951.77 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07121, over 43021.36 utterances.], batch size: 560, lr: 1.82e-04
+2022-09-19 08:57:54,613 INFO [train.py:885] (0/2) Epoch 26, batch 700, loss[loss=0.2616, simple_loss=0.3391, pruned_loss=0.09201, over 14279.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.03991, over 154.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3432, pruned_loss=0.09845, over 2697602.52 frames. utt_duration=253.2 frames, utt_pad_proportion=0.06908, over 42859.79 utterances.], batch size: 154, lr: 1.82e-04
+2022-09-19 08:58:23,893 INFO [train.py:885] (0/2) Epoch 26, batch 750, loss[loss=0.2024, simple_loss=0.2869, pruned_loss=0.0589, over 14146.00 frames. utt_duration=637.4 frames, utt_pad_proportion=0.04863, over 89.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3452, pruned_loss=0.09951, over 2719287.37 frames. utt_duration=249.1 frames, utt_pad_proportion=0.06964, over 43929.77 utterances.], batch size: 89, lr: 1.82e-04
+2022-09-19 08:58:53,593 INFO [train.py:885] (0/2) Epoch 26, batch 800, loss[loss=0.2216, simple_loss=0.2891, pruned_loss=0.07702, over 12314.00 frames. utt_duration=2054 frames, utt_pad_proportion=0.1654, over 24.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3452, pruned_loss=0.09929, over 2731941.61 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07016, over 44356.83 utterances.], batch size: 24, lr: 1.82e-04
+2022-09-19 08:59:22,845 INFO [train.py:885] (0/2) Epoch 26, batch 850, loss[loss=0.2928, simple_loss=0.3646, pruned_loss=0.1105, over 14337.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03832, over 262.00 utterances.], tot_loss[loss=0.273, simple_loss=0.346, pruned_loss=0.09995, over 2742803.86 frames. utt_duration=246.1 frames, utt_pad_proportion=0.06972, over 44844.24 utterances.], batch size: 262, lr: 1.82e-04
+2022-09-19 08:59:52,104 INFO [train.py:885] (0/2) Epoch 26, batch 900, loss[loss=0.354, simple_loss=0.4456, pruned_loss=0.1312, over 13614.00 frames. utt_duration=98.62 frames, utt_pad_proportion=0.0783, over 560.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3481, pruned_loss=0.1014, over 2746625.96 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07073, over 45457.45 utterances.], batch size: 560, lr: 1.82e-04
+2022-09-19 09:00:22,659 INFO [train.py:885] (0/2) Epoch 26, batch 950, loss[loss=0.272, simple_loss=0.3753, pruned_loss=0.08436, over 13776.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07158, over 411.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3493, pruned_loss=0.1011, over 2747167.77 frames. utt_duration=234.2 frames, utt_pad_proportion=0.0735, over 47222.78 utterances.], batch size: 411, lr: 1.82e-04
+2022-09-19 09:00:51,306 INFO [train.py:885] (0/2) Epoch 26, batch 1000, loss[loss=0.405, simple_loss=0.4501, pruned_loss=0.18, over 14230.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04318, over 306.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3502, pruned_loss=0.1021, over 2758302.47 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07107, over 46629.17 utterances.], batch size: 306, lr: 1.82e-04
+2022-09-19 09:01:20,968 INFO [train.py:885] (0/2) Epoch 26, batch 1050, loss[loss=0.3195, simple_loss=0.3855, pruned_loss=0.1267, over 14328.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03883, over 262.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3502, pruned_loss=0.1027, over 2758945.37 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07181, over 46221.78 utterances.], batch size: 262, lr: 1.82e-04
+2022-09-19 09:01:50,319 INFO [train.py:885] (0/2) Epoch 26, batch 1100, loss[loss=0.301, simple_loss=0.3758, pruned_loss=0.113, over 14289.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04097, over 262.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3504, pruned_loss=0.1024, over 2764343.51 frames. utt_duration=238.9 frames, utt_pad_proportion=0.0719, over 46566.76 utterances.], batch size: 262, lr: 1.82e-04
+2022-09-19 09:02:19,895 INFO [train.py:885] (0/2) Epoch 26, batch 1150, loss[loss=0.2976, simple_loss=0.3624, pruned_loss=0.1164, over 14316.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03905, over 262.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3499, pruned_loss=0.1019, over 2769916.18 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07097, over 46204.39 utterances.], batch size: 262, lr: 1.82e-04
+2022-09-19 09:02:48,991 INFO [train.py:885] (0/2) Epoch 26, batch 1200, loss[loss=0.2811, simple_loss=0.3769, pruned_loss=0.09264, over 13983.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05757, over 365.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3465, pruned_loss=0.1001, over 2774351.71 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06842, over 44881.83 utterances.], batch size: 365, lr: 1.82e-04
+2022-09-19 09:03:18,665 INFO [train.py:885] (0/2) Epoch 26, batch 1250, loss[loss=0.3197, simple_loss=0.3807, pruned_loss=0.1294, over 14299.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.04157, over 154.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3473, pruned_loss=0.1014, over 2775291.06 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07036, over 45250.62 utterances.], batch size: 154, lr: 1.82e-04
+2022-09-19 09:03:48,481 INFO [train.py:885] (0/2) Epoch 26, batch 1300, loss[loss=0.3371, simple_loss=0.3989, pruned_loss=0.1376, over 14208.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04405, over 306.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3469, pruned_loss=0.1008, over 2771600.19 frames. utt_duration=244.8 frames, utt_pad_proportion=0.0718, over 45563.34 utterances.], batch size: 306, lr: 1.82e-04
+2022-09-19 09:04:17,617 INFO [train.py:885] (0/2) Epoch 26, batch 1350, loss[loss=0.3768, simple_loss=0.4271, pruned_loss=0.1633, over 14304.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03919, over 283.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3464, pruned_loss=0.1012, over 2775049.19 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07077, over 44702.58 utterances.], batch size: 283, lr: 1.82e-04
+2022-09-19 09:04:47,047 INFO [train.py:885] (0/2) Epoch 26, batch 1400, loss[loss=0.272, simple_loss=0.3367, pruned_loss=0.1036, over 14251.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04534, over 141.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3442, pruned_loss=0.09994, over 2783166.92 frames. utt_duration=258.2 frames, utt_pad_proportion=0.06742, over 43371.06 utterances.], batch size: 141, lr: 1.82e-04
+2022-09-19 09:05:16,097 INFO [train.py:885] (0/2) Epoch 26, batch 1450, loss[loss=0.2964, simple_loss=0.3982, pruned_loss=0.09735, over 13671.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08036, over 478.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3451, pruned_loss=0.1008, over 2783708.94 frames. utt_duration=254.1 frames, utt_pad_proportion=0.06726, over 44080.29 utterances.], batch size: 478, lr: 1.82e-04
+2022-09-19 09:05:45,839 INFO [train.py:885] (0/2) Epoch 26, batch 1500, loss[loss=0.1762, simple_loss=0.2331, pruned_loss=0.0597, over 13363.00 frames. utt_duration=1621 frames, utt_pad_proportion=0.1023, over 33.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3444, pruned_loss=0.1002, over 2779923.96 frames. utt_duration=250.2 frames, utt_pad_proportion=0.0686, over 44708.26 utterances.], batch size: 33, lr: 1.82e-04
+2022-09-19 09:06:15,342 INFO [train.py:885] (0/2) Epoch 26, batch 1550, loss[loss=0.1501, simple_loss=0.208, pruned_loss=0.04609, over 13270.00 frames. utt_duration=1610 frames, utt_pad_proportion=0.1082, over 33.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3452, pruned_loss=0.1, over 2781796.52 frames. utt_duration=245.1 frames, utt_pad_proportion=0.06838, over 45664.65 utterances.], batch size: 33, lr: 1.82e-04
+2022-09-19 09:06:44,597 INFO [train.py:885] (0/2) Epoch 26, batch 1600, loss[loss=0.2515, simple_loss=0.3259, pruned_loss=0.08856, over 14323.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.04026, over 120.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3437, pruned_loss=0.09989, over 2779899.38 frames. utt_duration=251 frames, utt_pad_proportion=0.06915, over 44563.72 utterances.], batch size: 120, lr: 1.82e-04
+2022-09-19 09:07:13,934 INFO [train.py:885] (0/2) Epoch 26, batch 1650, loss[loss=0.2362, simple_loss=0.2992, pruned_loss=0.08658, over 14074.00 frames. utt_duration=575.9 frames, utt_pad_proportion=0.05429, over 98.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3441, pruned_loss=0.1, over 2774879.13 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07184, over 44747.58 utterances.], batch size: 98, lr: 1.82e-04
+2022-09-19 09:07:43,594 INFO [train.py:885] (0/2) Epoch 26, batch 1700, loss[loss=0.5192, simple_loss=0.6062, pruned_loss=0.2161, over 12453.00 frames. utt_duration=63 frames, utt_pad_proportion=0.1487, over 811.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3463, pruned_loss=0.1017, over 2779072.28 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07041, over 44766.65 utterances.], batch size: 811, lr: 1.82e-04
+2022-09-19 09:08:12,488 INFO [train.py:885] (0/2) Epoch 26, batch 1750, loss[loss=0.2518, simple_loss=0.3357, pruned_loss=0.08393, over 14265.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.04068, over 180.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3448, pruned_loss=0.1012, over 2784409.48 frames. utt_duration=255.2 frames, utt_pad_proportion=0.06817, over 43891.65 utterances.], batch size: 180, lr: 1.82e-04
+2022-09-19 09:08:42,500 INFO [train.py:885] (0/2) Epoch 26, batch 1800, loss[loss=0.1335, simple_loss=0.2024, pruned_loss=0.0323, over 13548.00 frames. utt_duration=1323 frames, utt_pad_proportion=0.07411, over 41.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3456, pruned_loss=0.1007, over 2781282.57 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07024, over 45617.99 utterances.], batch size: 41, lr: 1.82e-04
+2022-09-19 09:09:11,897 INFO [train.py:885] (0/2) Epoch 26, batch 1850, loss[loss=0.2234, simple_loss=0.2961, pruned_loss=0.07537, over 13981.00 frames. utt_duration=572.2 frames, utt_pad_proportion=0.06045, over 98.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3459, pruned_loss=0.1006, over 2782147.56 frames. utt_duration=247.2 frames, utt_pad_proportion=0.06979, over 45280.16 utterances.], batch size: 98, lr: 1.82e-04
+2022-09-19 09:09:41,172 INFO [train.py:885] (0/2) Epoch 26, batch 1900, loss[loss=0.1904, simple_loss=0.272, pruned_loss=0.05442, over 14118.00 frames. utt_duration=716.3 frames, utt_pad_proportion=0.0488, over 79.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3438, pruned_loss=0.09953, over 2787972.64 frames. utt_duration=254.7 frames, utt_pad_proportion=0.06662, over 44034.79 utterances.], batch size: 79, lr: 1.82e-04
+2022-09-19 09:10:10,664 INFO [train.py:885] (0/2) Epoch 26, batch 1950, loss[loss=0.4312, simple_loss=0.465, pruned_loss=0.1987, over 14191.00 frames. utt_duration=170.7 frames, utt_pad_proportion=0.04616, over 335.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3458, pruned_loss=0.1002, over 2781308.86 frames. utt_duration=247 frames, utt_pad_proportion=0.07036, over 45317.39 utterances.], batch size: 335, lr: 1.82e-04
+2022-09-19 09:10:40,565 INFO [train.py:885] (0/2) Epoch 26, batch 2000, loss[loss=0.5238, simple_loss=0.6008, pruned_loss=0.2234, over 12444.00 frames. utt_duration=63.01 frames, utt_pad_proportion=0.1485, over 810.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3463, pruned_loss=0.1003, over 2785128.06 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06922, over 45236.63 utterances.], batch size: 810, lr: 1.82e-04
+2022-09-19 09:11:09,902 INFO [train.py:885] (0/2) Epoch 26, batch 2050, loss[loss=0.2395, simple_loss=0.3166, pruned_loss=0.08125, over 14329.00 frames. utt_duration=442.5 frames, utt_pad_proportion=0.03603, over 130.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3433, pruned_loss=0.09889, over 2789118.72 frames. utt_duration=256.2 frames, utt_pad_proportion=0.06635, over 43793.02 utterances.], batch size: 130, lr: 1.82e-04
+2022-09-19 09:11:39,101 INFO [train.py:885] (0/2) Epoch 26, batch 2100, loss[loss=0.4813, simple_loss=0.5782, pruned_loss=0.1921, over 12469.00 frames. utt_duration=63.15 frames, utt_pad_proportion=0.1466, over 810.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3426, pruned_loss=0.09881, over 2787894.78 frames. utt_duration=260.1 frames, utt_pad_proportion=0.06736, over 43114.76 utterances.], batch size: 810, lr: 1.82e-04
+2022-09-19 09:12:08,620 INFO [train.py:885] (0/2) Epoch 26, batch 2150, loss[loss=0.2401, simple_loss=0.3268, pruned_loss=0.07664, over 14262.00 frames. utt_duration=440.3 frames, utt_pad_proportion=0.04079, over 130.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3427, pruned_loss=0.09972, over 2787140.43 frames. utt_duration=263.3 frames, utt_pad_proportion=0.06653, over 42574.87 utterances.], batch size: 130, lr: 1.82e-04
+2022-09-19 09:12:38,114 INFO [train.py:885] (0/2) Epoch 26, batch 2200, loss[loss=0.3202, simple_loss=0.4211, pruned_loss=0.1097, over 13621.00 frames. utt_duration=98.7 frames, utt_pad_proportion=0.0776, over 560.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3441, pruned_loss=0.09972, over 2788039.58 frames. utt_duration=255.3 frames, utt_pad_proportion=0.06733, over 43930.03 utterances.], batch size: 560, lr: 1.82e-04
+2022-09-19 09:13:07,036 INFO [train.py:885] (0/2) Epoch 26, batch 2250, loss[loss=0.3278, simple_loss=0.3904, pruned_loss=0.1325, over 14290.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03947, over 180.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3445, pruned_loss=0.09974, over 2787738.13 frames. utt_duration=256.5 frames, utt_pad_proportion=0.06788, over 43732.23 utterances.], batch size: 180, lr: 1.82e-04
+2022-09-19 09:13:36,135 INFO [train.py:885] (0/2) Epoch 26, batch 2300, loss[loss=0.2135, simple_loss=0.2913, pruned_loss=0.06782, over 14271.00 frames. utt_duration=440.4 frames, utt_pad_proportion=0.04254, over 130.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3442, pruned_loss=0.09937, over 2785916.23 frames. utt_duration=255.8 frames, utt_pad_proportion=0.06851, over 43818.81 utterances.], batch size: 130, lr: 1.82e-04
+2022-09-19 09:14:05,945 INFO [train.py:885] (0/2) Epoch 26, batch 2350, loss[loss=0.3401, simple_loss=0.4, pruned_loss=0.1402, over 14364.00 frames. utt_duration=296.1 frames, utt_pad_proportion=0.03241, over 195.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3408, pruned_loss=0.09753, over 2783575.42 frames. utt_duration=260.3 frames, utt_pad_proportion=0.06987, over 43016.15 utterances.], batch size: 195, lr: 1.82e-04
+2022-09-19 09:14:35,763 INFO [train.py:885] (0/2) Epoch 26, batch 2400, loss[loss=0.324, simple_loss=0.3931, pruned_loss=0.1275, over 14316.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03857, over 283.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3457, pruned_loss=0.1001, over 2784974.70 frames. utt_duration=251 frames, utt_pad_proportion=0.06973, over 44641.49 utterances.], batch size: 283, lr: 1.82e-04
+2022-09-19 09:15:04,717 INFO [train.py:885] (0/2) Epoch 26, batch 2450, loss[loss=0.2788, simple_loss=0.3631, pruned_loss=0.09725, over 14334.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03673, over 210.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3447, pruned_loss=0.09995, over 2784499.22 frames. utt_duration=253.4 frames, utt_pad_proportion=0.06939, over 44217.48 utterances.], batch size: 210, lr: 1.82e-04
+2022-09-19 09:15:34,237 INFO [train.py:885] (0/2) Epoch 26, batch 2500, loss[loss=0.2974, simple_loss=0.3811, pruned_loss=0.1068, over 13984.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05715, over 365.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.343, pruned_loss=0.09876, over 2783906.99 frames. utt_duration=258.7 frames, utt_pad_proportion=0.06792, over 43284.02 utterances.], batch size: 365, lr: 1.82e-04
+2022-09-19 09:16:04,072 INFO [train.py:885] (0/2) Epoch 26, batch 2550, loss[loss=0.3198, simple_loss=0.4166, pruned_loss=0.1115, over 13633.00 frames. utt_duration=98.83 frames, utt_pad_proportion=0.07632, over 560.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3444, pruned_loss=0.099, over 2786147.72 frames. utt_duration=255.1 frames, utt_pad_proportion=0.06757, over 43943.14 utterances.], batch size: 560, lr: 1.82e-04
+2022-09-19 09:16:33,149 INFO [train.py:885] (0/2) Epoch 26, batch 2600, loss[loss=0.5733, simple_loss=0.6316, pruned_loss=0.2575, over 12521.00 frames. utt_duration=63.4 frames, utt_pad_proportion=0.1433, over 810.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3452, pruned_loss=0.09933, over 2783190.29 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06959, over 44705.57 utterances.], batch size: 810, lr: 1.82e-04
+2022-09-19 09:17:03,075 INFO [train.py:885] (0/2) Epoch 26, batch 2650, loss[loss=0.1662, simple_loss=0.225, pruned_loss=0.05372, over 12282.00 frames. utt_duration=2049 frames, utt_pad_proportion=0.1617, over 24.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3481, pruned_loss=0.1006, over 2782227.44 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07078, over 46054.75 utterances.], batch size: 24, lr: 1.82e-04
+2022-09-19 09:17:31,208 INFO [train.py:885] (0/2) Epoch 26, batch 2700, loss[loss=0.2046, simple_loss=0.2633, pruned_loss=0.07295, over 13809.00 frames. utt_duration=802 frames, utt_pad_proportion=0.0653, over 69.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3437, pruned_loss=0.09873, over 2784072.75 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06987, over 44144.08 utterances.], batch size: 69, lr: 1.82e-04
+2022-09-19 09:18:01,285 INFO [train.py:885] (0/2) Epoch 26, batch 2750, loss[loss=0.1563, simple_loss=0.2044, pruned_loss=0.05408, over 12352.00 frames. utt_duration=2060 frames, utt_pad_proportion=0.1697, over 24.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3467, pruned_loss=0.1006, over 2784857.52 frames. utt_duration=248.3 frames, utt_pad_proportion=0.0691, over 45128.30 utterances.], batch size: 24, lr: 1.82e-04
+2022-09-19 09:18:31,100 INFO [train.py:885] (0/2) Epoch 26, batch 2800, loss[loss=0.2218, simple_loss=0.2926, pruned_loss=0.07546, over 13994.00 frames. utt_duration=710.2 frames, utt_pad_proportion=0.0594, over 79.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.35, pruned_loss=0.1012, over 2778841.74 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07432, over 47473.76 utterances.], batch size: 79, lr: 1.82e-04
+2022-09-19 09:19:00,229 INFO [train.py:885] (0/2) Epoch 26, batch 2850, loss[loss=0.3155, simple_loss=0.3856, pruned_loss=0.1226, over 14356.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03589, over 210.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3498, pruned_loss=0.1013, over 2784851.19 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07153, over 46793.35 utterances.], batch size: 210, lr: 1.82e-04
+2022-09-19 09:19:30,123 INFO [train.py:885] (0/2) Epoch 26, batch 2900, loss[loss=0.2739, simple_loss=0.3572, pruned_loss=0.09529, over 14299.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04058, over 262.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3487, pruned_loss=0.1006, over 2785616.65 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07085, over 46630.73 utterances.], batch size: 262, lr: 1.82e-04
+2022-09-19 09:19:59,790 INFO [train.py:885] (0/2) Epoch 26, batch 2950, loss[loss=0.4307, simple_loss=0.5177, pruned_loss=0.1719, over 13177.00 frames. utt_duration=82.21 frames, utt_pad_proportion=0.1064, over 653.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3481, pruned_loss=0.1007, over 2779244.04 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07282, over 46747.02 utterances.], batch size: 653, lr: 1.82e-04
+2022-09-19 09:20:29,581 INFO [train.py:885] (0/2) Epoch 26, batch 3000, loss[loss=0.1953, simple_loss=0.2708, pruned_loss=0.05989, over 14153.00 frames. utt_duration=718.4 frames, utt_pad_proportion=0.04978, over 79.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3465, pruned_loss=0.09959, over 2778243.88 frames. utt_duration=239.8 frames, utt_pad_proportion=0.0725, over 46630.44 utterances.], batch size: 79, lr: 1.82e-04
+2022-09-19 09:20:29,582 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 09:20:33,885 INFO [train.py:914] (0/2) Epoch 26, validation: loss=0.1852, simple_loss=0.2645, pruned_loss=0.05299, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 09:21:03,441 INFO [train.py:885] (0/2) Epoch 26, batch 3050, loss[loss=0.2119, simple_loss=0.2997, pruned_loss=0.06207, over 14369.00 frames. utt_duration=523.9 frames, utt_pad_proportion=0.03873, over 110.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3496, pruned_loss=0.101, over 2772797.35 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07495, over 47863.22 utterances.], batch size: 110, lr: 1.82e-04
+2022-09-19 09:21:34,060 INFO [train.py:885] (0/2) Epoch 26, batch 3100, loss[loss=0.2419, simple_loss=0.3159, pruned_loss=0.08391, over 14292.00 frames. utt_duration=407.1 frames, utt_pad_proportion=0.0421, over 141.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3512, pruned_loss=0.1021, over 2771882.05 frames. utt_duration=227.4 frames, utt_pad_proportion=0.07482, over 49076.47 utterances.], batch size: 141, lr: 1.82e-04
+2022-09-19 09:22:03,841 INFO [train.py:885] (0/2) Epoch 26, batch 3150, loss[loss=0.2903, simple_loss=0.399, pruned_loss=0.09078, over 13599.00 frames. utt_duration=98.59 frames, utt_pad_proportion=0.07862, over 560.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3503, pruned_loss=0.1008, over 2770069.85 frames. utt_duration=222.6 frames, utt_pad_proportion=0.07589, over 50108.24 utterances.], batch size: 560, lr: 1.82e-04
+2022-09-19 09:22:33,804 INFO [train.py:885] (0/2) Epoch 26, batch 3200, loss[loss=0.257, simple_loss=0.3395, pruned_loss=0.08726, over 14342.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03464, over 244.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3477, pruned_loss=0.0998, over 2774168.69 frames. utt_duration=230.6 frames, utt_pad_proportion=0.07435, over 48439.22 utterances.], batch size: 244, lr: 1.82e-04
+2022-09-19 09:23:03,810 INFO [train.py:885] (0/2) Epoch 26, batch 3250, loss[loss=0.2602, simple_loss=0.3354, pruned_loss=0.09255, over 14304.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.0408, over 154.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3418, pruned_loss=0.09717, over 2770239.96 frames. utt_duration=244 frames, utt_pad_proportion=0.07501, over 45683.31 utterances.], batch size: 154, lr: 1.82e-04
+2022-09-19 09:23:33,369 INFO [train.py:885] (0/2) Epoch 26, batch 3300, loss[loss=0.3729, simple_loss=0.418, pruned_loss=0.1639, over 14226.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04366, over 335.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3465, pruned_loss=0.09964, over 2772869.25 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07417, over 47150.26 utterances.], batch size: 335, lr: 1.81e-04
+2022-09-19 09:24:02,984 INFO [train.py:885] (0/2) Epoch 26, batch 3350, loss[loss=0.3126, simple_loss=0.3707, pruned_loss=0.1272, over 14368.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.0323, over 244.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3484, pruned_loss=0.101, over 2775140.06 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07338, over 46883.93 utterances.], batch size: 244, lr: 1.81e-04
+2022-09-19 09:24:33,245 INFO [train.py:885] (0/2) Epoch 26, batch 3400, loss[loss=0.4511, simple_loss=0.4741, pruned_loss=0.2141, over 14246.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04231, over 335.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.349, pruned_loss=0.1018, over 2777363.32 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07197, over 46922.45 utterances.], batch size: 335, lr: 1.81e-04
+2022-09-19 09:25:02,735 INFO [train.py:885] (0/2) Epoch 26, batch 3450, loss[loss=0.2543, simple_loss=0.3714, pruned_loss=0.0686, over 13792.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06996, over 411.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3466, pruned_loss=0.1003, over 2778485.88 frames. utt_duration=244.9 frames, utt_pad_proportion=0.0712, over 45659.50 utterances.], batch size: 411, lr: 1.81e-04
+2022-09-19 09:25:33,279 INFO [train.py:885] (0/2) Epoch 26, batch 3500, loss[loss=0.2553, simple_loss=0.3451, pruned_loss=0.08272, over 14257.00 frames. utt_duration=318.3 frames, utt_pad_proportion=0.04132, over 180.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3508, pruned_loss=0.1022, over 2774749.82 frames. utt_duration=232.9 frames, utt_pad_proportion=0.07397, over 47968.13 utterances.], batch size: 180, lr: 1.81e-04
+2022-09-19 09:26:03,732 INFO [train.py:885] (0/2) Epoch 26, batch 3550, loss[loss=0.2039, simple_loss=0.2707, pruned_loss=0.06851, over 13259.00 frames. utt_duration=1609 frames, utt_pad_proportion=0.1018, over 33.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.3537, pruned_loss=0.1044, over 2775501.70 frames. utt_duration=229.9 frames, utt_pad_proportion=0.07471, over 48605.87 utterances.], batch size: 33, lr: 1.81e-04
+2022-09-19 09:26:32,175 INFO [train.py:885] (0/2) Epoch 26, batch 3600, loss[loss=0.282, simple_loss=0.3464, pruned_loss=0.1088, over 14288.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.03891, over 130.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3493, pruned_loss=0.1023, over 2772053.18 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07498, over 47038.79 utterances.], batch size: 130, lr: 1.81e-04
+2022-09-19 09:27:02,362 INFO [train.py:885] (0/2) Epoch 26, batch 3650, loss[loss=0.2093, simple_loss=0.2747, pruned_loss=0.07196, over 13823.00 frames. utt_duration=802.9 frames, utt_pad_proportion=0.06417, over 69.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3488, pruned_loss=0.1024, over 2769436.43 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07549, over 47000.07 utterances.], batch size: 69, lr: 1.81e-04
+2022-09-19 09:27:32,035 INFO [train.py:885] (0/2) Epoch 26, batch 3700, loss[loss=0.2612, simple_loss=0.3427, pruned_loss=0.08985, over 14255.00 frames. utt_duration=318.3 frames, utt_pad_proportion=0.0414, over 180.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.3514, pruned_loss=0.1038, over 2772648.30 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07452, over 47586.24 utterances.], batch size: 180, lr: 1.81e-04
+2022-09-19 09:28:02,289 INFO [train.py:885] (0/2) Epoch 26, batch 3750, loss[loss=0.2811, simple_loss=0.3668, pruned_loss=0.0977, over 14279.00 frames. utt_duration=343.5 frames, utt_pad_proportion=0.04312, over 167.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3522, pruned_loss=0.1037, over 2771497.45 frames. utt_duration=232.4 frames, utt_pad_proportion=0.07451, over 48009.19 utterances.], batch size: 167, lr: 1.81e-04
+2022-09-19 09:28:32,387 INFO [train.py:885] (0/2) Epoch 26, batch 3800, loss[loss=0.2582, simple_loss=0.3312, pruned_loss=0.09259, over 14248.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04574, over 141.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3515, pruned_loss=0.1031, over 2772628.60 frames. utt_duration=234.7 frames, utt_pad_proportion=0.0747, over 47548.77 utterances.], batch size: 141, lr: 1.81e-04
+2022-09-19 09:29:02,110 INFO [train.py:885] (0/2) Epoch 26, batch 3850, loss[loss=0.2703, simple_loss=0.3518, pruned_loss=0.09439, over 14368.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03524, over 210.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3531, pruned_loss=0.1037, over 2776478.71 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07413, over 47936.03 utterances.], batch size: 210, lr: 1.81e-04
+2022-09-19 09:29:32,389 INFO [train.py:885] (0/2) Epoch 26, batch 3900, loss[loss=0.2785, simple_loss=0.3715, pruned_loss=0.09278, over 14060.00 frames. utt_duration=155.2 frames, utt_pad_proportion=0.0538, over 366.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3545, pruned_loss=0.1051, over 2778757.67 frames. utt_duration=231.2 frames, utt_pad_proportion=0.07341, over 48393.50 utterances.], batch size: 366, lr: 1.81e-04
+2022-09-19 09:30:02,021 INFO [train.py:885] (0/2) Epoch 26, batch 3950, loss[loss=0.2773, simple_loss=0.3547, pruned_loss=0.09992, over 14323.00 frames. utt_duration=295.4 frames, utt_pad_proportion=0.03794, over 195.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.3544, pruned_loss=0.1041, over 2779477.72 frames. utt_duration=231.1 frames, utt_pad_proportion=0.07271, over 48407.60 utterances.], batch size: 195, lr: 1.81e-04
+2022-09-19 09:30:31,790 INFO [train.py:885] (0/2) Epoch 26, batch 4000, loss[loss=0.2125, simple_loss=0.2778, pruned_loss=0.07361, over 14013.00 frames. utt_duration=802.3 frames, utt_pad_proportion=0.06381, over 70.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3489, pruned_loss=0.101, over 2780946.45 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07115, over 47043.94 utterances.], batch size: 70, lr: 1.81e-04
+2022-09-19 09:31:01,718 INFO [train.py:885] (0/2) Epoch 26, batch 4050, loss[loss=0.3524, simple_loss=0.4252, pruned_loss=0.1398, over 13767.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07156, over 411.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3489, pruned_loss=0.1013, over 2779817.17 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07185, over 46769.59 utterances.], batch size: 411, lr: 1.81e-04
+2022-09-19 09:31:31,300 INFO [train.py:885] (0/2) Epoch 26, batch 4100, loss[loss=0.1931, simple_loss=0.2593, pruned_loss=0.0634, over 13617.00 frames. utt_duration=1091 frames, utt_pad_proportion=0.08396, over 50.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3437, pruned_loss=0.09912, over 2778967.00 frames. utt_duration=252 frames, utt_pad_proportion=0.07236, over 44374.53 utterances.], batch size: 50, lr: 1.81e-04
+2022-09-19 09:32:00,895 INFO [train.py:885] (0/2) Epoch 26, batch 4150, loss[loss=0.1919, simple_loss=0.2535, pruned_loss=0.06517, over 14114.00 frames. utt_duration=808.1 frames, utt_pad_proportion=0.05709, over 70.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3446, pruned_loss=0.09987, over 2778948.28 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07173, over 45242.95 utterances.], batch size: 70, lr: 1.81e-04
+2022-09-19 09:32:30,224 INFO [train.py:885] (0/2) Epoch 26, batch 4200, loss[loss=0.2044, simple_loss=0.2741, pruned_loss=0.06738, over 14093.00 frames. utt_duration=576.6 frames, utt_pad_proportion=0.05477, over 98.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3421, pruned_loss=0.09855, over 2777728.13 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07048, over 44309.13 utterances.], batch size: 98, lr: 1.81e-04
+2022-09-19 09:33:00,606 INFO [train.py:885] (0/2) Epoch 26, batch 4250, loss[loss=0.3991, simple_loss=0.4944, pruned_loss=0.1519, over 13157.00 frames. utt_duration=82.14 frames, utt_pad_proportion=0.1071, over 653.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3405, pruned_loss=0.09784, over 2779808.89 frames. utt_duration=255.7 frames, utt_pad_proportion=0.07127, over 43731.91 utterances.], batch size: 653, lr: 1.81e-04
+2022-09-19 09:33:30,792 INFO [train.py:885] (0/2) Epoch 26, batch 4300, loss[loss=0.2377, simple_loss=0.3241, pruned_loss=0.07569, over 14296.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03877, over 180.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3424, pruned_loss=0.09863, over 2783834.75 frames. utt_duration=252.1 frames, utt_pad_proportion=0.07005, over 44431.04 utterances.], batch size: 180, lr: 1.81e-04
+2022-09-19 09:34:00,563 INFO [train.py:885] (0/2) Epoch 26, batch 4350, loss[loss=0.1917, simple_loss=0.2398, pruned_loss=0.0718, over 13290.00 frames. utt_duration=1298 frames, utt_pad_proportion=0.09363, over 41.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3411, pruned_loss=0.09814, over 2780691.59 frames. utt_duration=252.6 frames, utt_pad_proportion=0.07071, over 44290.00 utterances.], batch size: 41, lr: 1.81e-04
+2022-09-19 09:34:30,817 INFO [train.py:885] (0/2) Epoch 26, batch 4400, loss[loss=0.291, simple_loss=0.3473, pruned_loss=0.1173, over 14296.00 frames. utt_duration=407.1 frames, utt_pad_proportion=0.04222, over 141.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3409, pruned_loss=0.09786, over 2782913.60 frames. utt_duration=255.9 frames, utt_pad_proportion=0.06955, over 43758.07 utterances.], batch size: 141, lr: 1.81e-04
+2022-09-19 09:35:00,394 INFO [train.py:885] (0/2) Epoch 26, batch 4450, loss[loss=0.2236, simple_loss=0.308, pruned_loss=0.06964, over 14351.00 frames. utt_duration=442.9 frames, utt_pad_proportion=0.03514, over 130.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3409, pruned_loss=0.09829, over 2784672.02 frames. utt_duration=259.4 frames, utt_pad_proportion=0.06905, over 43182.50 utterances.], batch size: 130, lr: 1.81e-04
+2022-09-19 09:35:31,000 INFO [train.py:885] (0/2) Epoch 26, batch 4500, loss[loss=0.2112, simple_loss=0.2702, pruned_loss=0.07607, over 13448.00 frames. utt_duration=1077 frames, utt_pad_proportion=0.09403, over 50.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3429, pruned_loss=0.09915, over 2784196.34 frames. utt_duration=252.9 frames, utt_pad_proportion=0.07023, over 44294.62 utterances.], batch size: 50, lr: 1.81e-04
+2022-09-19 09:35:31,645 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-320000.pt
+2022-09-19 09:36:00,164 INFO [train.py:885] (0/2) Epoch 26, batch 4550, loss[loss=0.3575, simple_loss=0.4122, pruned_loss=0.1513, over 14282.00 frames. utt_duration=171.8 frames, utt_pad_proportion=0.04016, over 335.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3433, pruned_loss=0.09964, over 2783034.65 frames. utt_duration=252.4 frames, utt_pad_proportion=0.07067, over 44372.12 utterances.], batch size: 335, lr: 1.81e-04
+2022-09-19 09:36:30,370 INFO [train.py:885] (0/2) Epoch 26, batch 4600, loss[loss=0.3089, simple_loss=0.4012, pruned_loss=0.1083, over 13781.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07131, over 411.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3417, pruned_loss=0.09847, over 2777788.36 frames. utt_duration=253.7 frames, utt_pad_proportion=0.07199, over 44059.40 utterances.], batch size: 411, lr: 1.81e-04
+2022-09-19 09:37:01,022 INFO [train.py:885] (0/2) Epoch 26, batch 4650, loss[loss=0.3793, simple_loss=0.4815, pruned_loss=0.1386, over 13172.00 frames. utt_duration=82.23 frames, utt_pad_proportion=0.1062, over 653.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.347, pruned_loss=0.1011, over 2782882.20 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07184, over 45652.17 utterances.], batch size: 653, lr: 1.81e-04
+2022-09-19 09:37:30,611 INFO [train.py:885] (0/2) Epoch 26, batch 4700, loss[loss=0.2045, simple_loss=0.2567, pruned_loss=0.0762, over 14085.00 frames. utt_duration=806.4 frames, utt_pad_proportion=0.05909, over 70.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3453, pruned_loss=0.1006, over 2780598.66 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07247, over 44831.50 utterances.], batch size: 70, lr: 1.81e-04
+2022-09-19 09:38:00,884 INFO [train.py:885] (0/2) Epoch 26, batch 4750, loss[loss=0.2803, simple_loss=0.3606, pruned_loss=0.1, over 14315.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.03854, over 226.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3459, pruned_loss=0.1002, over 2780288.83 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07114, over 45541.39 utterances.], batch size: 226, lr: 1.81e-04
+2022-09-19 09:38:30,854 INFO [train.py:885] (0/2) Epoch 26, batch 4800, loss[loss=0.3041, simple_loss=0.3706, pruned_loss=0.1188, over 14300.00 frames. utt_duration=255.7 frames, utt_pad_proportion=0.03885, over 225.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3454, pruned_loss=0.09997, over 2782309.95 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06965, over 44800.64 utterances.], batch size: 225, lr: 1.81e-04
+2022-09-19 09:39:00,583 INFO [train.py:885] (0/2) Epoch 26, batch 4850, loss[loss=0.3076, simple_loss=0.3816, pruned_loss=0.1168, over 14291.00 frames. utt_duration=255.5 frames, utt_pad_proportion=0.03937, over 225.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3466, pruned_loss=0.1001, over 2781795.06 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07064, over 45604.85 utterances.], batch size: 225, lr: 1.81e-04
+2022-09-19 09:39:30,679 INFO [train.py:885] (0/2) Epoch 26, batch 4900, loss[loss=0.2356, simple_loss=0.3002, pruned_loss=0.08547, over 14044.00 frames. utt_duration=574.7 frames, utt_pad_proportion=0.05788, over 98.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3452, pruned_loss=0.1003, over 2782855.44 frames. utt_duration=251.4 frames, utt_pad_proportion=0.06868, over 44540.07 utterances.], batch size: 98, lr: 1.81e-04
+2022-09-19 09:40:00,555 INFO [train.py:885] (0/2) Epoch 26, batch 4950, loss[loss=0.4881, simple_loss=0.5525, pruned_loss=0.2118, over 13097.00 frames. utt_duration=81.8 frames, utt_pad_proportion=0.1109, over 653.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3476, pruned_loss=0.101, over 2780236.10 frames. utt_duration=244 frames, utt_pad_proportion=0.07016, over 45857.99 utterances.], batch size: 653, lr: 1.81e-04
+2022-09-19 09:40:30,278 INFO [train.py:885] (0/2) Epoch 26, batch 5000, loss[loss=0.1529, simple_loss=0.2189, pruned_loss=0.04345, over 12005.00 frames. utt_duration=2002 frames, utt_pad_proportion=0.1768, over 24.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3461, pruned_loss=0.1005, over 2779532.38 frames. utt_duration=247.9 frames, utt_pad_proportion=0.06922, over 45111.64 utterances.], batch size: 24, lr: 1.81e-04
+2022-09-19 09:40:59,836 INFO [train.py:885] (0/2) Epoch 26, batch 5050, loss[loss=0.3936, simple_loss=0.4364, pruned_loss=0.1754, over 14261.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04136, over 335.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3478, pruned_loss=0.1016, over 2783210.05 frames. utt_duration=244.4 frames, utt_pad_proportion=0.06789, over 45819.62 utterances.], batch size: 335, lr: 1.81e-04
+2022-09-19 09:41:29,796 INFO [train.py:885] (0/2) Epoch 26, batch 5100, loss[loss=0.2941, simple_loss=0.3685, pruned_loss=0.1099, over 14323.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03835, over 283.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3495, pruned_loss=0.1018, over 2784909.80 frames. utt_duration=238.6 frames, utt_pad_proportion=0.0692, over 46977.93 utterances.], batch size: 283, lr: 1.81e-04
+2022-09-19 09:42:00,069 INFO [train.py:885] (0/2) Epoch 26, batch 5150, loss[loss=0.2989, simple_loss=0.3807, pruned_loss=0.1085, over 13966.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05753, over 365.00 utterances.], tot_loss[loss=0.278, simple_loss=0.3513, pruned_loss=0.1023, over 2786413.31 frames. utt_duration=235.8 frames, utt_pad_proportion=0.06842, over 47568.23 utterances.], batch size: 365, lr: 1.81e-04
+2022-09-19 09:42:29,696 INFO [train.py:885] (0/2) Epoch 26, batch 5200, loss[loss=0.2915, simple_loss=0.3659, pruned_loss=0.1085, over 14348.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03625, over 195.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3487, pruned_loss=0.1023, over 2784503.51 frames. utt_duration=245.1 frames, utt_pad_proportion=0.06841, over 45711.51 utterances.], batch size: 195, lr: 1.81e-04
+2022-09-19 09:42:59,251 INFO [train.py:885] (0/2) Epoch 26, batch 5250, loss[loss=0.311, simple_loss=0.4143, pruned_loss=0.1038, over 13612.00 frames. utt_duration=98.57 frames, utt_pad_proportion=0.07881, over 560.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3481, pruned_loss=0.1023, over 2784114.98 frames. utt_duration=246 frames, utt_pad_proportion=0.06887, over 45547.96 utterances.], batch size: 560, lr: 1.81e-04
+2022-09-19 09:43:29,214 INFO [train.py:885] (0/2) Epoch 26, batch 5300, loss[loss=0.2095, simple_loss=0.2797, pruned_loss=0.06967, over 13961.00 frames. utt_duration=932.1 frames, utt_pad_proportion=0.0632, over 60.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3498, pruned_loss=0.1028, over 2786099.31 frames. utt_duration=241.4 frames, utt_pad_proportion=0.06883, over 46450.30 utterances.], batch size: 60, lr: 1.81e-04
+2022-09-19 09:43:58,488 INFO [train.py:885] (0/2) Epoch 26, batch 5350, loss[loss=0.3616, simple_loss=0.4645, pruned_loss=0.1293, over 13163.00 frames. utt_duration=82.22 frames, utt_pad_proportion=0.1063, over 653.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3481, pruned_loss=0.1019, over 2788760.89 frames. utt_duration=246.6 frames, utt_pad_proportion=0.06655, over 45515.05 utterances.], batch size: 653, lr: 1.81e-04
+2022-09-19 09:44:27,895 INFO [train.py:885] (0/2) Epoch 26, batch 5400, loss[loss=0.1788, simple_loss=0.2463, pruned_loss=0.05563, over 13401.00 frames. utt_duration=1073 frames, utt_pad_proportion=0.09721, over 50.00 utterances.], tot_loss[loss=0.2829, simple_loss=0.3542, pruned_loss=0.1058, over 2788092.47 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07016, over 47397.38 utterances.], batch size: 50, lr: 1.81e-04
+2022-09-19 09:44:57,529 INFO [train.py:885] (0/2) Epoch 26, batch 5450, loss[loss=0.3516, simple_loss=0.4016, pruned_loss=0.1508, over 14202.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04387, over 306.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3502, pruned_loss=0.1037, over 2785351.07 frames. utt_duration=244.7 frames, utt_pad_proportion=0.06961, over 45815.12 utterances.], batch size: 306, lr: 1.81e-04
+2022-09-19 09:45:26,720 INFO [train.py:885] (0/2) Epoch 26, batch 5500, loss[loss=0.2708, simple_loss=0.3459, pruned_loss=0.09788, over 14376.00 frames. utt_duration=345.5 frames, utt_pad_proportion=0.03753, over 167.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3471, pruned_loss=0.1019, over 2786966.97 frames. utt_duration=252.8 frames, utt_pad_proportion=0.06813, over 44355.98 utterances.], batch size: 167, lr: 1.81e-04
+2022-09-19 09:45:56,241 INFO [train.py:885] (0/2) Epoch 26, batch 5550, loss[loss=0.2828, simple_loss=0.3936, pruned_loss=0.08599, over 13592.00 frames. utt_duration=115.5 frames, utt_pad_proportion=0.08354, over 477.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3467, pruned_loss=0.1016, over 2790071.41 frames. utt_duration=256.5 frames, utt_pad_proportion=0.066, over 43755.90 utterances.], batch size: 477, lr: 1.81e-04
+2022-09-19 09:46:26,207 INFO [train.py:885] (0/2) Epoch 26, batch 5600, loss[loss=0.3712, simple_loss=0.47, pruned_loss=0.1362, over 13162.00 frames. utt_duration=82.15 frames, utt_pad_proportion=0.107, over 653.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3422, pruned_loss=0.09881, over 2790266.38 frames. utt_duration=267 frames, utt_pad_proportion=0.0645, over 42031.21 utterances.], batch size: 653, lr: 1.81e-04
+2022-09-19 09:46:55,589 INFO [train.py:885] (0/2) Epoch 26, batch 5650, loss[loss=0.1837, simple_loss=0.2667, pruned_loss=0.05035, over 14057.00 frames. utt_duration=575.3 frames, utt_pad_proportion=0.05534, over 98.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3446, pruned_loss=0.1005, over 2785875.94 frames. utt_duration=260.3 frames, utt_pad_proportion=0.06752, over 43059.08 utterances.], batch size: 98, lr: 1.81e-04
+2022-09-19 09:47:25,212 INFO [train.py:885] (0/2) Epoch 26, batch 5700, loss[loss=0.2593, simple_loss=0.3412, pruned_loss=0.08871, over 14326.00 frames. utt_duration=295.4 frames, utt_pad_proportion=0.03794, over 195.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3438, pruned_loss=0.09989, over 2786986.52 frames. utt_duration=261.8 frames, utt_pad_proportion=0.06632, over 42815.96 utterances.], batch size: 195, lr: 1.81e-04
+2022-09-19 09:47:54,626 INFO [train.py:885] (0/2) Epoch 26, batch 5750, loss[loss=0.6067, simple_loss=0.6631, pruned_loss=0.2751, over 12426.00 frames. utt_duration=62.99 frames, utt_pad_proportion=0.1488, over 810.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3461, pruned_loss=0.1014, over 2783830.80 frames. utt_duration=257.8 frames, utt_pad_proportion=0.06902, over 43445.64 utterances.], batch size: 810, lr: 1.81e-04
+2022-09-19 09:48:23,857 INFO [train.py:885] (0/2) Epoch 26, batch 5800, loss[loss=0.5421, simple_loss=0.6161, pruned_loss=0.2341, over 12479.00 frames. utt_duration=63.08 frames, utt_pad_proportion=0.1475, over 811.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3456, pruned_loss=0.1004, over 2781886.05 frames. utt_duration=252.6 frames, utt_pad_proportion=0.06975, over 44304.27 utterances.], batch size: 811, lr: 1.81e-04
+2022-09-19 09:48:54,175 INFO [train.py:885] (0/2) Epoch 26, batch 5850, loss[loss=0.1846, simple_loss=0.2566, pruned_loss=0.05629, over 13871.00 frames. utt_duration=805.6 frames, utt_pad_proportion=0.06221, over 69.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3472, pruned_loss=0.1005, over 2778976.33 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07072, over 46122.96 utterances.], batch size: 69, lr: 1.81e-04
+2022-09-19 09:49:23,561 INFO [train.py:885] (0/2) Epoch 26, batch 5900, loss[loss=0.1663, simple_loss=0.2479, pruned_loss=0.04231, over 13951.00 frames. utt_duration=707.7 frames, utt_pad_proportion=0.05886, over 79.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3456, pruned_loss=0.09923, over 2782998.54 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06911, over 45235.60 utterances.], batch size: 79, lr: 1.81e-04
+2022-09-19 09:49:52,998 INFO [train.py:885] (0/2) Epoch 26, batch 5950, loss[loss=0.2163, simple_loss=0.2923, pruned_loss=0.07012, over 14125.00 frames. utt_duration=519.6 frames, utt_pad_proportion=0.04838, over 109.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3465, pruned_loss=0.09916, over 2780779.47 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07173, over 46874.98 utterances.], batch size: 109, lr: 1.81e-04
+2022-09-19 09:50:22,628 INFO [train.py:885] (0/2) Epoch 26, batch 6000, loss[loss=0.4602, simple_loss=0.5699, pruned_loss=0.1753, over 12474.00 frames. utt_duration=63.11 frames, utt_pad_proportion=0.1471, over 811.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3502, pruned_loss=0.1007, over 2784154.33 frames. utt_duration=231.5 frames, utt_pad_proportion=0.07137, over 48416.13 utterances.], batch size: 811, lr: 1.81e-04
+2022-09-19 09:50:22,629 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 09:50:26,773 INFO [train.py:914] (0/2) Epoch 26, validation: loss=0.1911, simple_loss=0.2705, pruned_loss=0.05589, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 09:50:56,059 INFO [train.py:885] (0/2) Epoch 26, batch 6050, loss[loss=0.2673, simple_loss=0.3491, pruned_loss=0.0928, over 14357.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.0383, over 167.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3476, pruned_loss=0.09956, over 2786282.22 frames. utt_duration=240 frames, utt_pad_proportion=0.06853, over 46726.16 utterances.], batch size: 167, lr: 1.81e-04
+2022-09-19 09:51:25,898 INFO [train.py:885] (0/2) Epoch 26, batch 6100, loss[loss=0.2205, simple_loss=0.3001, pruned_loss=0.07043, over 14243.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.04646, over 141.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3477, pruned_loss=0.09934, over 2784274.84 frames. utt_duration=237.7 frames, utt_pad_proportion=0.06902, over 47136.02 utterances.], batch size: 141, lr: 1.81e-04
+2022-09-19 09:51:55,594 INFO [train.py:885] (0/2) Epoch 26, batch 6150, loss[loss=0.2452, simple_loss=0.321, pruned_loss=0.08466, over 14241.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.04612, over 141.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3465, pruned_loss=0.09887, over 2782070.82 frames. utt_duration=238.4 frames, utt_pad_proportion=0.06789, over 46958.14 utterances.], batch size: 141, lr: 1.81e-04
+2022-09-19 09:52:24,995 INFO [train.py:885] (0/2) Epoch 26, batch 6200, loss[loss=0.1943, simple_loss=0.266, pruned_loss=0.06129, over 14039.00 frames. utt_duration=712.2 frames, utt_pad_proportion=0.05667, over 79.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3475, pruned_loss=0.1006, over 2786285.73 frames. utt_duration=245.1 frames, utt_pad_proportion=0.06597, over 45743.57 utterances.], batch size: 79, lr: 1.81e-04
+2022-09-19 09:52:54,508 INFO [train.py:885] (0/2) Epoch 26, batch 6250, loss[loss=0.35, simple_loss=0.4567, pruned_loss=0.1216, over 13211.00 frames. utt_duration=82.38 frames, utt_pad_proportion=0.1046, over 653.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.346, pruned_loss=0.09968, over 2786631.12 frames. utt_duration=247.4 frames, utt_pad_proportion=0.0655, over 45330.87 utterances.], batch size: 653, lr: 1.81e-04
+2022-09-19 09:53:23,854 INFO [train.py:885] (0/2) Epoch 26, batch 6300, loss[loss=0.2305, simple_loss=0.3033, pruned_loss=0.07888, over 14065.00 frames. utt_duration=575.6 frames, utt_pad_proportion=0.05479, over 98.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3475, pruned_loss=0.09989, over 2780236.15 frames. utt_duration=239.6 frames, utt_pad_proportion=0.06928, over 46698.71 utterances.], batch size: 98, lr: 1.81e-04
+2022-09-19 09:53:53,429 INFO [train.py:885] (0/2) Epoch 26, batch 6350, loss[loss=0.178, simple_loss=0.2517, pruned_loss=0.05216, over 13521.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.09055, over 50.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3474, pruned_loss=0.1006, over 2784249.29 frames. utt_duration=245 frames, utt_pad_proportion=0.06883, over 45738.44 utterances.], batch size: 50, lr: 1.81e-04
+2022-09-19 09:54:22,414 INFO [train.py:885] (0/2) Epoch 26, batch 6400, loss[loss=0.1911, simple_loss=0.2629, pruned_loss=0.05961, over 13876.00 frames. utt_duration=806.2 frames, utt_pad_proportion=0.06151, over 69.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3488, pruned_loss=0.1012, over 2783576.52 frames. utt_duration=241.7 frames, utt_pad_proportion=0.06863, over 46339.44 utterances.], batch size: 69, lr: 1.81e-04
+2022-09-19 09:54:51,951 INFO [train.py:885] (0/2) Epoch 26, batch 6450, loss[loss=0.3122, simple_loss=0.3824, pruned_loss=0.121, over 14337.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03732, over 283.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3513, pruned_loss=0.1037, over 2783204.72 frames. utt_duration=241 frames, utt_pad_proportion=0.06823, over 46485.33 utterances.], batch size: 283, lr: 1.81e-04
+2022-09-19 09:55:21,323 INFO [train.py:885] (0/2) Epoch 26, batch 6500, loss[loss=0.2369, simple_loss=0.3213, pruned_loss=0.07624, over 14353.00 frames. utt_duration=371.9 frames, utt_pad_proportion=0.03894, over 155.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3528, pruned_loss=0.104, over 2783369.67 frames. utt_duration=236 frames, utt_pad_proportion=0.06973, over 47480.30 utterances.], batch size: 155, lr: 1.81e-04
+2022-09-19 09:55:50,913 INFO [train.py:885] (0/2) Epoch 26, batch 6550, loss[loss=0.2493, simple_loss=0.3343, pruned_loss=0.08213, over 14253.00 frames. utt_duration=318 frames, utt_pad_proportion=0.04207, over 180.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3488, pruned_loss=0.1028, over 2779155.03 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07017, over 45445.17 utterances.], batch size: 180, lr: 1.81e-04
+2022-09-19 09:56:20,481 INFO [train.py:885] (0/2) Epoch 26, batch 6600, loss[loss=0.3338, simple_loss=0.4269, pruned_loss=0.1204, over 13639.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08149, over 477.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3503, pruned_loss=0.1024, over 2777924.74 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07162, over 46601.69 utterances.], batch size: 477, lr: 1.81e-04
+2022-09-19 09:56:50,071 INFO [train.py:885] (0/2) Epoch 26, batch 6650, loss[loss=0.3122, simple_loss=0.4166, pruned_loss=0.1039, over 13592.00 frames. utt_duration=98.46 frames, utt_pad_proportion=0.07981, over 560.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3498, pruned_loss=0.1021, over 2777737.42 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07346, over 47095.89 utterances.], batch size: 560, lr: 1.81e-04
+2022-09-19 09:57:19,291 INFO [train.py:885] (0/2) Epoch 26, batch 6700, loss[loss=0.279, simple_loss=0.3459, pruned_loss=0.1061, over 14260.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04494, over 141.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3474, pruned_loss=0.1012, over 2779262.12 frames. utt_duration=247 frames, utt_pad_proportion=0.07122, over 45278.40 utterances.], batch size: 141, lr: 1.81e-04
+2022-09-19 09:57:49,294 INFO [train.py:885] (0/2) Epoch 26, batch 6750, loss[loss=0.2102, simple_loss=0.2823, pruned_loss=0.0691, over 14221.00 frames. utt_duration=640.6 frames, utt_pad_proportion=0.0453, over 89.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3499, pruned_loss=0.1022, over 2777638.54 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07205, over 46839.42 utterances.], batch size: 89, lr: 1.81e-04
+2022-09-19 09:58:18,950 INFO [train.py:885] (0/2) Epoch 26, batch 6800, loss[loss=0.2642, simple_loss=0.3492, pruned_loss=0.08957, over 14250.00 frames. utt_duration=318.1 frames, utt_pad_proportion=0.04172, over 180.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3505, pruned_loss=0.1017, over 2774530.90 frames. utt_duration=233.8 frames, utt_pad_proportion=0.07364, over 47764.87 utterances.], batch size: 180, lr: 1.80e-04
+2022-09-19 09:58:48,378 INFO [train.py:885] (0/2) Epoch 26, batch 6850, loss[loss=0.2316, simple_loss=0.3108, pruned_loss=0.07623, over 14379.00 frames. utt_duration=345.8 frames, utt_pad_proportion=0.03676, over 167.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3448, pruned_loss=0.09909, over 2777389.22 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07132, over 45306.14 utterances.], batch size: 167, lr: 1.80e-04
+2022-09-19 09:59:17,769 INFO [train.py:885] (0/2) Epoch 26, batch 6900, loss[loss=0.2424, simple_loss=0.314, pruned_loss=0.08542, over 14222.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.04726, over 141.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3454, pruned_loss=0.1004, over 2781122.70 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07056, over 45150.02 utterances.], batch size: 141, lr: 1.80e-04
+2022-09-19 09:59:47,154 INFO [train.py:885] (0/2) Epoch 26, batch 6950, loss[loss=0.2804, simple_loss=0.3542, pruned_loss=0.1033, over 14353.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03677, over 283.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3453, pruned_loss=0.1004, over 2788592.69 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06834, over 44485.50 utterances.], batch size: 283, lr: 1.80e-04
+2022-09-19 10:00:17,100 INFO [train.py:885] (0/2) Epoch 26, batch 7000, loss[loss=0.2079, simple_loss=0.289, pruned_loss=0.06342, over 14038.00 frames. utt_duration=803.7 frames, utt_pad_proportion=0.06221, over 70.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.347, pruned_loss=0.1006, over 2781452.75 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07041, over 45021.49 utterances.], batch size: 70, lr: 1.80e-04
+2022-09-19 10:00:46,965 INFO [train.py:885] (0/2) Epoch 26, batch 7050, loss[loss=0.2724, simple_loss=0.3564, pruned_loss=0.09418, over 14255.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.04138, over 306.00 utterances.], tot_loss[loss=0.2781, simple_loss=0.3511, pruned_loss=0.1026, over 2780938.43 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07175, over 46550.44 utterances.], batch size: 306, lr: 1.80e-04
+2022-09-19 10:01:16,346 INFO [train.py:885] (0/2) Epoch 26, batch 7100, loss[loss=0.1893, simple_loss=0.2597, pruned_loss=0.05943, over 13789.00 frames. utt_duration=800.7 frames, utt_pad_proportion=0.06684, over 69.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.353, pruned_loss=0.1034, over 2780331.72 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07254, over 47553.38 utterances.], batch size: 69, lr: 1.80e-04
+2022-09-19 10:01:45,984 INFO [train.py:885] (0/2) Epoch 26, batch 7150, loss[loss=0.2252, simple_loss=0.2832, pruned_loss=0.08357, over 14187.00 frames. utt_duration=639.1 frames, utt_pad_proportion=0.04754, over 89.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3509, pruned_loss=0.1029, over 2783229.40 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07075, over 46551.41 utterances.], batch size: 89, lr: 1.80e-04
+2022-09-19 10:02:15,199 INFO [train.py:885] (0/2) Epoch 26, batch 7200, loss[loss=0.338, simple_loss=0.3997, pruned_loss=0.1381, over 14284.00 frames. utt_duration=203.3 frames, utt_pad_proportion=0.04092, over 283.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3492, pruned_loss=0.102, over 2782982.28 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07005, over 45751.23 utterances.], batch size: 283, lr: 1.80e-04
+2022-09-19 10:02:45,064 INFO [train.py:885] (0/2) Epoch 26, batch 7250, loss[loss=0.1811, simple_loss=0.2531, pruned_loss=0.05458, over 13194.00 frames. utt_duration=1600 frames, utt_pad_proportion=0.109, over 33.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3509, pruned_loss=0.1029, over 2781229.28 frames. utt_duration=242 frames, utt_pad_proportion=0.07161, over 46245.87 utterances.], batch size: 33, lr: 1.80e-04
+2022-09-19 10:03:14,576 INFO [train.py:885] (0/2) Epoch 26, batch 7300, loss[loss=0.1611, simple_loss=0.2237, pruned_loss=0.04926, over 12272.00 frames. utt_duration=2047 frames, utt_pad_proportion=0.1619, over 24.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.35, pruned_loss=0.1032, over 2773324.85 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07405, over 46655.09 utterances.], batch size: 24, lr: 1.80e-04
+2022-09-19 10:03:44,144 INFO [train.py:885] (0/2) Epoch 26, batch 7350, loss[loss=0.2095, simple_loss=0.2844, pruned_loss=0.06736, over 14101.00 frames. utt_duration=577.2 frames, utt_pad_proportion=0.05228, over 98.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3484, pruned_loss=0.1019, over 2773078.34 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07442, over 46293.18 utterances.], batch size: 98, lr: 1.80e-04
+2022-09-19 10:04:13,341 INFO [train.py:885] (0/2) Epoch 26, batch 7400, loss[loss=0.3388, simple_loss=0.3881, pruned_loss=0.1448, over 14328.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03707, over 195.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3472, pruned_loss=0.1017, over 2773546.71 frames. utt_duration=246 frames, utt_pad_proportion=0.07245, over 45372.59 utterances.], batch size: 195, lr: 1.80e-04
+2022-09-19 10:04:43,163 INFO [train.py:885] (0/2) Epoch 26, batch 7450, loss[loss=0.2294, simple_loss=0.3025, pruned_loss=0.07816, over 14142.00 frames. utt_duration=578.9 frames, utt_pad_proportion=0.05105, over 98.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3462, pruned_loss=0.1002, over 2776035.75 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07207, over 45458.91 utterances.], batch size: 98, lr: 1.80e-04
+2022-09-19 10:05:12,334 INFO [train.py:885] (0/2) Epoch 26, batch 7500, loss[loss=0.2389, simple_loss=0.3154, pruned_loss=0.08121, over 14298.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.03999, over 120.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.346, pruned_loss=0.1, over 2778572.46 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07134, over 44971.89 utterances.], batch size: 120, lr: 1.80e-04
+2022-09-19 10:05:42,697 INFO [train.py:885] (0/2) Epoch 26, batch 7550, loss[loss=0.2665, simple_loss=0.3413, pruned_loss=0.09583, over 14259.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04512, over 141.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3481, pruned_loss=0.1006, over 2776477.40 frames. utt_duration=239 frames, utt_pad_proportion=0.07329, over 46764.03 utterances.], batch size: 141, lr: 1.80e-04
+2022-09-19 10:06:12,259 INFO [train.py:885] (0/2) Epoch 26, batch 7600, loss[loss=0.1832, simple_loss=0.2536, pruned_loss=0.05644, over 14109.00 frames. utt_duration=715.9 frames, utt_pad_proportion=0.05303, over 79.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3468, pruned_loss=0.09968, over 2775576.44 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07403, over 47002.97 utterances.], batch size: 79, lr: 1.80e-04
+2022-09-19 10:06:41,634 INFO [train.py:885] (0/2) Epoch 26, batch 7650, loss[loss=0.2, simple_loss=0.2747, pruned_loss=0.06272, over 14130.00 frames. utt_duration=578.2 frames, utt_pad_proportion=0.05065, over 98.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.345, pruned_loss=0.09975, over 2775193.08 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07331, over 46133.11 utterances.], batch size: 98, lr: 1.80e-04
+2022-09-19 10:07:11,059 INFO [train.py:885] (0/2) Epoch 26, batch 7700, loss[loss=0.2731, simple_loss=0.3511, pruned_loss=0.09757, over 14341.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03684, over 210.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3473, pruned_loss=0.1002, over 2774856.51 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07407, over 47799.78 utterances.], batch size: 210, lr: 1.80e-04
+2022-09-19 10:07:41,060 INFO [train.py:885] (0/2) Epoch 26, batch 7750, loss[loss=0.3298, simple_loss=0.3932, pruned_loss=0.1332, over 14365.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03309, over 244.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3513, pruned_loss=0.1023, over 2774324.40 frames. utt_duration=228 frames, utt_pad_proportion=0.07557, over 48997.60 utterances.], batch size: 244, lr: 1.80e-04
+2022-09-19 10:08:17,028 INFO [train.py:885] (0/2) Epoch 26, batch 7800, loss[loss=0.1289, simple_loss=0.1918, pruned_loss=0.03305, over 13060.00 frames. utt_duration=1585 frames, utt_pad_proportion=0.1147, over 33.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.348, pruned_loss=0.1007, over 2773957.73 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07321, over 47359.46 utterances.], batch size: 33, lr: 1.80e-04
+2022-09-19 10:08:46,295 INFO [train.py:885] (0/2) Epoch 26, batch 7850, loss[loss=0.3061, simple_loss=0.3786, pruned_loss=0.1168, over 14192.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04472, over 306.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3463, pruned_loss=0.09947, over 2779357.44 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07167, over 46648.06 utterances.], batch size: 306, lr: 1.80e-04
+2022-09-19 10:09:15,952 INFO [train.py:885] (0/2) Epoch 26, batch 7900, loss[loss=0.2589, simple_loss=0.3418, pruned_loss=0.088, over 14274.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.04081, over 180.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3462, pruned_loss=0.09998, over 2780724.17 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07186, over 45781.45 utterances.], batch size: 180, lr: 1.80e-04
+2022-09-19 10:09:45,354 INFO [train.py:885] (0/2) Epoch 26, batch 7950, loss[loss=0.1765, simple_loss=0.2478, pruned_loss=0.05264, over 13817.00 frames. utt_duration=922.5 frames, utt_pad_proportion=0.06727, over 60.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3436, pruned_loss=0.0984, over 2783378.89 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07042, over 45034.62 utterances.], batch size: 60, lr: 1.80e-04
+2022-09-19 10:10:15,306 INFO [train.py:885] (0/2) Epoch 26, batch 8000, loss[loss=0.2997, simple_loss=0.3672, pruned_loss=0.1161, over 14282.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.03996, over 180.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3429, pruned_loss=0.09903, over 2782535.98 frames. utt_duration=255 frames, utt_pad_proportion=0.07046, over 43906.01 utterances.], batch size: 180, lr: 1.80e-04
+2022-09-19 10:10:44,448 INFO [train.py:885] (0/2) Epoch 26, batch 8050, loss[loss=0.1791, simple_loss=0.2459, pruned_loss=0.05615, over 13846.00 frames. utt_duration=804.3 frames, utt_pad_proportion=0.06262, over 69.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3427, pruned_loss=0.09951, over 2779449.58 frames. utt_duration=257.6 frames, utt_pad_proportion=0.07126, over 43402.16 utterances.], batch size: 69, lr: 1.80e-04
+2022-09-19 10:11:14,190 INFO [train.py:885] (0/2) Epoch 26, batch 8100, loss[loss=0.307, simple_loss=0.3863, pruned_loss=0.1139, over 14328.00 frames. utt_duration=255 frames, utt_pad_proportion=0.03767, over 226.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3454, pruned_loss=0.1002, over 2781508.88 frames. utt_duration=251.8 frames, utt_pad_proportion=0.0719, over 44449.22 utterances.], batch size: 226, lr: 1.80e-04
+2022-09-19 10:11:43,608 INFO [train.py:885] (0/2) Epoch 26, batch 8150, loss[loss=0.1553, simple_loss=0.2092, pruned_loss=0.05075, over 12197.00 frames. utt_duration=2034 frames, utt_pad_proportion=0.1718, over 24.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3456, pruned_loss=0.09995, over 2775107.08 frames. utt_duration=247 frames, utt_pad_proportion=0.07329, over 45218.97 utterances.], batch size: 24, lr: 1.80e-04
+2022-09-19 10:12:12,834 INFO [train.py:885] (0/2) Epoch 26, batch 8200, loss[loss=0.2288, simple_loss=0.3082, pruned_loss=0.07468, over 14270.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.04421, over 141.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3463, pruned_loss=0.09987, over 2778431.52 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07246, over 45228.13 utterances.], batch size: 141, lr: 1.80e-04
+2022-09-19 10:12:42,101 INFO [train.py:885] (0/2) Epoch 26, batch 8250, loss[loss=0.3181, simple_loss=0.4111, pruned_loss=0.1126, over 13585.00 frames. utt_duration=115.4 frames, utt_pad_proportion=0.08392, over 477.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3455, pruned_loss=0.1002, over 2780029.46 frames. utt_duration=247.7 frames, utt_pad_proportion=0.072, over 45167.08 utterances.], batch size: 477, lr: 1.80e-04
+2022-09-19 10:13:11,830 INFO [train.py:885] (0/2) Epoch 26, batch 8300, loss[loss=0.2464, simple_loss=0.3278, pruned_loss=0.0825, over 14344.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03921, over 167.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3499, pruned_loss=0.1019, over 2779479.38 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07273, over 47291.50 utterances.], batch size: 167, lr: 1.80e-04
+2022-09-19 10:13:41,145 INFO [train.py:885] (0/2) Epoch 26, batch 8350, loss[loss=0.2504, simple_loss=0.3309, pruned_loss=0.08496, over 14384.00 frames. utt_duration=275.2 frames, utt_pad_proportion=0.03429, over 210.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.346, pruned_loss=0.09939, over 2781673.86 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07184, over 45893.50 utterances.], batch size: 210, lr: 1.80e-04
+2022-09-19 10:14:10,578 INFO [train.py:885] (0/2) Epoch 26, batch 8400, loss[loss=0.2905, simple_loss=0.3667, pruned_loss=0.1072, over 14343.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03656, over 210.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3448, pruned_loss=0.09912, over 2783402.38 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07064, over 44938.61 utterances.], batch size: 210, lr: 1.80e-04
+2022-09-19 10:14:39,823 INFO [train.py:885] (0/2) Epoch 26, batch 8450, loss[loss=0.1672, simple_loss=0.2231, pruned_loss=0.05565, over 12200.00 frames. utt_duration=2035 frames, utt_pad_proportion=0.1622, over 24.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3434, pruned_loss=0.09875, over 2781777.00 frames. utt_duration=252.6 frames, utt_pad_proportion=0.07034, over 44306.68 utterances.], batch size: 24, lr: 1.80e-04
+2022-09-19 10:15:09,143 INFO [train.py:885] (0/2) Epoch 26, batch 8500, loss[loss=0.2438, simple_loss=0.3193, pruned_loss=0.08418, over 14256.00 frames. utt_duration=440.2 frames, utt_pad_proportion=0.04094, over 130.00 utterances.], tot_loss[loss=0.272, simple_loss=0.345, pruned_loss=0.09956, over 2783514.23 frames. utt_duration=247.4 frames, utt_pad_proportion=0.0722, over 45275.62 utterances.], batch size: 130, lr: 1.80e-04
+2022-09-19 10:15:09,760 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-324000.pt
+2022-09-19 10:15:38,939 INFO [train.py:885] (0/2) Epoch 26, batch 8550, loss[loss=0.23, simple_loss=0.2962, pruned_loss=0.08189, over 13712.00 frames. utt_duration=796.4 frames, utt_pad_proportion=0.07282, over 69.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3448, pruned_loss=0.09983, over 2784790.72 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07083, over 44724.02 utterances.], batch size: 69, lr: 1.80e-04
+2022-09-19 10:16:09,143 INFO [train.py:885] (0/2) Epoch 26, batch 8600, loss[loss=0.3288, simple_loss=0.3869, pruned_loss=0.1354, over 14312.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03987, over 262.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3443, pruned_loss=0.09903, over 2788827.55 frames. utt_duration=254.2 frames, utt_pad_proportion=0.0695, over 44139.94 utterances.], batch size: 262, lr: 1.80e-04
+2022-09-19 10:16:38,768 INFO [train.py:885] (0/2) Epoch 26, batch 8650, loss[loss=0.1895, simple_loss=0.2725, pruned_loss=0.05329, over 14206.00 frames. utt_duration=639.7 frames, utt_pad_proportion=0.04667, over 89.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.345, pruned_loss=0.09926, over 2782423.01 frames. utt_duration=246.6 frames, utt_pad_proportion=0.0715, over 45411.30 utterances.], batch size: 89, lr: 1.80e-04
+2022-09-19 10:17:08,000 INFO [train.py:885] (0/2) Epoch 26, batch 8700, loss[loss=0.2294, simple_loss=0.2866, pruned_loss=0.08607, over 13989.00 frames. utt_duration=800.8 frames, utt_pad_proportion=0.06554, over 70.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3486, pruned_loss=0.1014, over 2777955.38 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07429, over 46991.98 utterances.], batch size: 70, lr: 1.80e-04
+2022-09-19 10:17:37,527 INFO [train.py:885] (0/2) Epoch 26, batch 8750, loss[loss=0.1579, simple_loss=0.2249, pruned_loss=0.04541, over 13469.00 frames. utt_duration=1079 frames, utt_pad_proportion=0.09189, over 50.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.3543, pruned_loss=0.1039, over 2777686.95 frames. utt_duration=229.4 frames, utt_pad_proportion=0.0746, over 48753.52 utterances.], batch size: 50, lr: 1.80e-04
+2022-09-19 10:18:07,207 INFO [train.py:885] (0/2) Epoch 26, batch 8800, loss[loss=0.3387, simple_loss=0.4366, pruned_loss=0.1204, over 13663.00 frames. utt_duration=99.01 frames, utt_pad_proportion=0.07467, over 560.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3537, pruned_loss=0.1035, over 2779424.25 frames. utt_duration=230.7 frames, utt_pad_proportion=0.07197, over 48510.57 utterances.], batch size: 560, lr: 1.80e-04
+2022-09-19 10:18:37,059 INFO [train.py:885] (0/2) Epoch 26, batch 8850, loss[loss=0.2579, simple_loss=0.3466, pruned_loss=0.08459, over 14324.00 frames. utt_duration=319.7 frames, utt_pad_proportion=0.03717, over 180.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3522, pruned_loss=0.1021, over 2778921.31 frames. utt_duration=232.2 frames, utt_pad_proportion=0.07392, over 48185.90 utterances.], batch size: 180, lr: 1.80e-04
+2022-09-19 10:19:06,374 INFO [train.py:885] (0/2) Epoch 26, batch 8900, loss[loss=0.2994, simple_loss=0.3685, pruned_loss=0.1152, over 14277.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03991, over 180.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3476, pruned_loss=0.09928, over 2778414.59 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07412, over 47109.55 utterances.], batch size: 180, lr: 1.80e-04
+2022-09-19 10:19:35,714 INFO [train.py:885] (0/2) Epoch 26, batch 8950, loss[loss=0.2549, simple_loss=0.3308, pruned_loss=0.0895, over 14276.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.04417, over 141.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3491, pruned_loss=0.1, over 2780467.21 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07483, over 47412.53 utterances.], batch size: 141, lr: 1.80e-04
+2022-09-19 10:20:05,290 INFO [train.py:885] (0/2) Epoch 26, batch 9000, loss[loss=0.2835, simple_loss=0.3913, pruned_loss=0.08789, over 13745.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07409, over 411.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3464, pruned_loss=0.0994, over 2776689.35 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07497, over 46338.35 utterances.], batch size: 411, lr: 1.80e-04
+2022-09-19 10:20:05,291 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 10:20:09,458 INFO [train.py:914] (0/2) Epoch 26, validation: loss=0.197, simple_loss=0.2766, pruned_loss=0.05864, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 10:20:38,129 INFO [train.py:885] (0/2) Epoch 26, batch 9050, loss[loss=0.2095, simple_loss=0.2699, pruned_loss=0.07452, over 13960.00 frames. utt_duration=810.8 frames, utt_pad_proportion=0.05615, over 69.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3467, pruned_loss=0.1003, over 2775875.29 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07377, over 45674.11 utterances.], batch size: 69, lr: 1.80e-04
+2022-09-19 10:21:08,526 INFO [train.py:885] (0/2) Epoch 26, batch 9100, loss[loss=0.3465, simple_loss=0.4031, pruned_loss=0.145, over 14397.00 frames. utt_duration=346.2 frames, utt_pad_proportion=0.03561, over 167.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3503, pruned_loss=0.1013, over 2777865.69 frames. utt_duration=232.6 frames, utt_pad_proportion=0.07489, over 48085.60 utterances.], batch size: 167, lr: 1.80e-04
+2022-09-19 10:21:38,244 INFO [train.py:885] (0/2) Epoch 26, batch 9150, loss[loss=0.2429, simple_loss=0.3307, pruned_loss=0.07752, over 14298.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04091, over 154.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.35, pruned_loss=0.1005, over 2782102.19 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07321, over 47687.60 utterances.], batch size: 154, lr: 1.80e-04
+2022-09-19 10:22:07,708 INFO [train.py:885] (0/2) Epoch 26, batch 9200, loss[loss=0.3006, simple_loss=0.3712, pruned_loss=0.115, over 14339.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03461, over 244.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3479, pruned_loss=0.1008, over 2786108.97 frames. utt_duration=243.4 frames, utt_pad_proportion=0.06924, over 46057.41 utterances.], batch size: 244, lr: 1.80e-04
+2022-09-19 10:22:37,572 INFO [train.py:885] (0/2) Epoch 26, batch 9250, loss[loss=0.1429, simple_loss=0.2006, pruned_loss=0.04263, over 13140.00 frames. utt_duration=2023 frames, utt_pad_proportion=0.1212, over 26.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3457, pruned_loss=0.1006, over 2781144.59 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06959, over 45069.95 utterances.], batch size: 26, lr: 1.80e-04
+2022-09-19 10:23:06,753 INFO [train.py:885] (0/2) Epoch 26, batch 9300, loss[loss=0.3234, simple_loss=0.3877, pruned_loss=0.1295, over 14331.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03872, over 262.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3469, pruned_loss=0.1008, over 2783780.77 frames. utt_duration=244.6 frames, utt_pad_proportion=0.06878, over 45801.89 utterances.], batch size: 262, lr: 1.80e-04
+2022-09-19 10:23:36,358 INFO [train.py:885] (0/2) Epoch 26, batch 9350, loss[loss=0.2788, simple_loss=0.3512, pruned_loss=0.1032, over 14274.00 frames. utt_duration=440.7 frames, utt_pad_proportion=0.03995, over 130.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.343, pruned_loss=0.09904, over 2777894.83 frames. utt_duration=250.2 frames, utt_pad_proportion=0.0695, over 44670.78 utterances.], batch size: 130, lr: 1.80e-04
+2022-09-19 10:24:05,709 INFO [train.py:885] (0/2) Epoch 26, batch 9400, loss[loss=0.3314, simple_loss=0.4277, pruned_loss=0.1176, over 13627.00 frames. utt_duration=98.68 frames, utt_pad_proportion=0.07774, over 560.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3468, pruned_loss=0.1001, over 2775928.47 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07068, over 46876.35 utterances.], batch size: 560, lr: 1.80e-04
+2022-09-19 10:24:35,029 INFO [train.py:885] (0/2) Epoch 26, batch 9450, loss[loss=0.3533, simple_loss=0.4112, pruned_loss=0.1477, over 14227.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.0428, over 306.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3448, pruned_loss=0.09951, over 2776337.43 frames. utt_duration=245.2 frames, utt_pad_proportion=0.06989, over 45573.37 utterances.], batch size: 306, lr: 1.80e-04
+2022-09-19 10:25:04,324 INFO [train.py:885] (0/2) Epoch 26, batch 9500, loss[loss=0.18, simple_loss=0.2626, pruned_loss=0.04869, over 14083.00 frames. utt_duration=806.1 frames, utt_pad_proportion=0.05941, over 70.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3432, pruned_loss=0.09837, over 2775779.98 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07013, over 45011.59 utterances.], batch size: 70, lr: 1.80e-04
+2022-09-19 10:25:34,186 INFO [train.py:885] (0/2) Epoch 26, batch 9550, loss[loss=0.2229, simple_loss=0.2857, pruned_loss=0.08003, over 14056.00 frames. utt_duration=575.2 frames, utt_pad_proportion=0.05551, over 98.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3396, pruned_loss=0.09671, over 2781784.09 frames. utt_duration=259.3 frames, utt_pad_proportion=0.06765, over 43153.86 utterances.], batch size: 98, lr: 1.80e-04
+2022-09-19 10:26:03,927 INFO [train.py:885] (0/2) Epoch 26, batch 9600, loss[loss=0.2445, simple_loss=0.3214, pruned_loss=0.0838, over 14270.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.04048, over 154.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3462, pruned_loss=0.09949, over 2780407.66 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07127, over 46173.74 utterances.], batch size: 154, lr: 1.80e-04
+2022-09-19 10:26:32,622 INFO [train.py:885] (0/2) Epoch 26, batch 9650, loss[loss=0.3662, simple_loss=0.4105, pruned_loss=0.161, over 14340.00 frames. utt_duration=320.1 frames, utt_pad_proportion=0.03599, over 180.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3473, pruned_loss=0.1011, over 2785979.45 frames. utt_duration=246.8 frames, utt_pad_proportion=0.06978, over 45430.57 utterances.], batch size: 180, lr: 1.80e-04
+2022-09-19 10:27:02,297 INFO [train.py:885] (0/2) Epoch 26, batch 9700, loss[loss=0.3037, simple_loss=0.3911, pruned_loss=0.1082, over 13772.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07114, over 411.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3449, pruned_loss=0.09989, over 2783835.42 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06935, over 44296.56 utterances.], batch size: 411, lr: 1.80e-04
+2022-09-19 10:27:31,699 INFO [train.py:885] (0/2) Epoch 26, batch 9750, loss[loss=0.2312, simple_loss=0.3167, pruned_loss=0.07286, over 14264.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.04446, over 141.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3478, pruned_loss=0.1014, over 2778886.61 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07249, over 45812.21 utterances.], batch size: 141, lr: 1.80e-04
+2022-09-19 10:28:02,069 INFO [train.py:885] (0/2) Epoch 26, batch 9800, loss[loss=0.3601, simple_loss=0.4091, pruned_loss=0.1555, over 14316.00 frames. utt_duration=344.3 frames, utt_pad_proportion=0.0409, over 167.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3508, pruned_loss=0.1028, over 2779650.32 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07301, over 47441.22 utterances.], batch size: 167, lr: 1.80e-04
+2022-09-19 10:28:31,742 INFO [train.py:885] (0/2) Epoch 26, batch 9850, loss[loss=0.2626, simple_loss=0.326, pruned_loss=0.09966, over 14251.00 frames. utt_duration=440 frames, utt_pad_proportion=0.04134, over 130.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3494, pruned_loss=0.1009, over 2777659.10 frames. utt_duration=233.9 frames, utt_pad_proportion=0.07275, over 47803.59 utterances.], batch size: 130, lr: 1.80e-04
+2022-09-19 10:29:01,184 INFO [train.py:885] (0/2) Epoch 26, batch 9900, loss[loss=0.4153, simple_loss=0.4423, pruned_loss=0.1942, over 14318.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03879, over 283.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3479, pruned_loss=0.1006, over 2782056.14 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07059, over 46238.69 utterances.], batch size: 283, lr: 1.80e-04
+2022-09-19 10:29:30,514 INFO [train.py:885] (0/2) Epoch 26, batch 9950, loss[loss=0.3309, simple_loss=0.3964, pruned_loss=0.1327, over 14195.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04518, over 306.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3511, pruned_loss=0.1014, over 2783693.10 frames. utt_duration=234 frames, utt_pad_proportion=0.07204, over 47896.55 utterances.], batch size: 306, lr: 1.80e-04
+2022-09-19 10:30:00,252 INFO [train.py:885] (0/2) Epoch 26, batch 10000, loss[loss=0.3101, simple_loss=0.3713, pruned_loss=0.1244, over 14221.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04357, over 306.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3499, pruned_loss=0.1005, over 2782827.15 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07256, over 47500.09 utterances.], batch size: 306, lr: 1.80e-04
+2022-09-19 10:30:29,969 INFO [train.py:885] (0/2) Epoch 26, batch 10050, loss[loss=0.3027, simple_loss=0.3775, pruned_loss=0.114, over 14353.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03624, over 283.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3502, pruned_loss=0.1001, over 2778180.94 frames. utt_duration=229 frames, utt_pad_proportion=0.07299, over 48835.14 utterances.], batch size: 283, lr: 1.80e-04
+2022-09-19 10:30:59,906 INFO [train.py:885] (0/2) Epoch 26, batch 10100, loss[loss=0.3035, simple_loss=0.3824, pruned_loss=0.1123, over 13970.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05735, over 365.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3522, pruned_loss=0.1021, over 2779397.42 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07223, over 47962.83 utterances.], batch size: 365, lr: 1.80e-04
+2022-09-19 10:31:29,159 INFO [train.py:885] (0/2) Epoch 26, batch 10150, loss[loss=0.2855, simple_loss=0.3474, pruned_loss=0.1117, over 14324.00 frames. utt_duration=407.8 frames, utt_pad_proportion=0.04048, over 141.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3501, pruned_loss=0.1013, over 2784303.51 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07142, over 46378.61 utterances.], batch size: 141, lr: 1.80e-04
+2022-09-19 10:31:58,292 INFO [train.py:885] (0/2) Epoch 26, batch 10200, loss[loss=0.1574, simple_loss=0.2329, pruned_loss=0.04096, over 13581.00 frames. utt_duration=1295 frames, utt_pad_proportion=0.08803, over 42.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3475, pruned_loss=0.09995, over 2783101.00 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07219, over 45915.79 utterances.], batch size: 42, lr: 1.80e-04
+2022-09-19 10:32:28,138 INFO [train.py:885] (0/2) Epoch 26, batch 10250, loss[loss=0.5825, simple_loss=0.639, pruned_loss=0.263, over 12509.00 frames. utt_duration=63.32 frames, utt_pad_proportion=0.1443, over 810.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3461, pruned_loss=0.09938, over 2777231.41 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07284, over 45917.36 utterances.], batch size: 810, lr: 1.80e-04
+2022-09-19 10:33:05,866 INFO [train.py:885] (0/2) Epoch 26, batch 10300, loss[loss=0.2241, simple_loss=0.3056, pruned_loss=0.07127, over 14263.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.04029, over 130.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3504, pruned_loss=0.1024, over 2782486.76 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07056, over 46108.34 utterances.], batch size: 130, lr: 1.80e-04
+2022-09-19 10:33:35,181 INFO [train.py:885] (0/2) Epoch 26, batch 10350, loss[loss=0.1784, simple_loss=0.2451, pruned_loss=0.05586, over 13799.00 frames. utt_duration=921.3 frames, utt_pad_proportion=0.06844, over 60.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3494, pruned_loss=0.1012, over 2782933.45 frames. utt_duration=243.9 frames, utt_pad_proportion=0.0691, over 45916.32 utterances.], batch size: 60, lr: 1.80e-04
+2022-09-19 10:34:05,463 INFO [train.py:885] (0/2) Epoch 26, batch 10400, loss[loss=0.1668, simple_loss=0.2135, pruned_loss=0.06008, over 12319.00 frames. utt_duration=2054 frames, utt_pad_proportion=0.151, over 24.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3496, pruned_loss=0.1014, over 2781496.71 frames. utt_duration=241 frames, utt_pad_proportion=0.06939, over 46448.32 utterances.], batch size: 24, lr: 1.79e-04
+2022-09-19 10:34:34,453 INFO [train.py:885] (0/2) Epoch 26, batch 10450, loss[loss=0.2665, simple_loss=0.3429, pruned_loss=0.09503, over 14360.00 frames. utt_duration=345.5 frames, utt_pad_proportion=0.03773, over 167.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3496, pruned_loss=0.1009, over 2782089.41 frames. utt_duration=238.3 frames, utt_pad_proportion=0.06955, over 46979.54 utterances.], batch size: 167, lr: 1.79e-04
+2022-09-19 10:35:03,194 INFO [train.py:885] (0/2) Epoch 26, batch 10500, loss[loss=0.1806, simple_loss=0.2465, pruned_loss=0.05728, over 13558.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08724, over 50.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3444, pruned_loss=0.09835, over 2782154.73 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06813, over 44670.36 utterances.], batch size: 50, lr: 1.79e-04
+2022-09-19 10:35:32,241 INFO [train.py:885] (0/2) Epoch 26, batch 10550, loss[loss=0.2556, simple_loss=0.3324, pruned_loss=0.08942, over 14232.00 frames. utt_duration=371.1 frames, utt_pad_proportion=0.04343, over 154.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.3403, pruned_loss=0.09654, over 2780734.80 frames. utt_duration=261.4 frames, utt_pad_proportion=0.06766, over 42784.87 utterances.], batch size: 154, lr: 1.79e-04
+2022-09-19 10:36:01,693 INFO [train.py:885] (0/2) Epoch 26, batch 10600, loss[loss=0.3339, simple_loss=0.4369, pruned_loss=0.1154, over 13624.00 frames. utt_duration=98.7 frames, utt_pad_proportion=0.07759, over 560.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3423, pruned_loss=0.09707, over 2779918.91 frames. utt_duration=253.5 frames, utt_pad_proportion=0.06943, over 44117.28 utterances.], batch size: 560, lr: 1.79e-04
+2022-09-19 10:36:41,021 INFO [train.py:885] (0/2) Epoch 26, batch 10650, loss[loss=0.1582, simple_loss=0.2197, pruned_loss=0.0483, over 13553.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08393, over 50.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3445, pruned_loss=0.09873, over 2775177.29 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07181, over 45296.18 utterances.], batch size: 50, lr: 1.79e-04
+2022-09-19 10:37:10,045 INFO [train.py:885] (0/2) Epoch 26, batch 10700, loss[loss=0.2111, simple_loss=0.2787, pruned_loss=0.07172, over 13890.00 frames. utt_duration=704.7 frames, utt_pad_proportion=0.06287, over 79.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3439, pruned_loss=0.09792, over 2774082.71 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07216, over 45604.81 utterances.], batch size: 79, lr: 1.79e-04
+2022-09-19 10:37:39,738 INFO [train.py:885] (0/2) Epoch 26, batch 10750, loss[loss=0.2053, simple_loss=0.2761, pruned_loss=0.06727, over 13941.00 frames. utt_duration=809.7 frames, utt_pad_proportion=0.05743, over 69.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3438, pruned_loss=0.09833, over 2779533.03 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07033, over 44724.45 utterances.], batch size: 69, lr: 1.79e-04
+2022-09-19 10:38:08,924 INFO [train.py:885] (0/2) Epoch 26, batch 10800, loss[loss=0.3658, simple_loss=0.4228, pruned_loss=0.1544, over 14215.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.0435, over 306.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3425, pruned_loss=0.0984, over 2785008.92 frames. utt_duration=259.6 frames, utt_pad_proportion=0.06608, over 43150.81 utterances.], batch size: 306, lr: 1.79e-04
+2022-09-19 10:38:38,733 INFO [train.py:885] (0/2) Epoch 26, batch 10850, loss[loss=0.178, simple_loss=0.2468, pruned_loss=0.05462, over 14081.00 frames. utt_duration=806 frames, utt_pad_proportion=0.05508, over 70.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3457, pruned_loss=0.1005, over 2786172.98 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06814, over 44387.12 utterances.], batch size: 70, lr: 1.79e-04
+2022-09-19 10:39:07,847 INFO [train.py:885] (0/2) Epoch 26, batch 10900, loss[loss=0.2716, simple_loss=0.3402, pruned_loss=0.1015, over 14304.00 frames. utt_duration=373 frames, utt_pad_proportion=0.04111, over 154.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3469, pruned_loss=0.1006, over 2790144.58 frames. utt_duration=249.2 frames, utt_pad_proportion=0.0678, over 45045.99 utterances.], batch size: 154, lr: 1.79e-04
+2022-09-19 10:39:37,584 INFO [train.py:885] (0/2) Epoch 26, batch 10950, loss[loss=0.2173, simple_loss=0.2913, pruned_loss=0.07162, over 14165.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.0453, over 109.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3463, pruned_loss=0.1004, over 2789321.42 frames. utt_duration=249.8 frames, utt_pad_proportion=0.06726, over 44937.50 utterances.], batch size: 109, lr: 1.79e-04
+2022-09-19 10:40:06,663 INFO [train.py:885] (0/2) Epoch 26, batch 11000, loss[loss=0.2888, simple_loss=0.3563, pruned_loss=0.1106, over 14272.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04085, over 225.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3475, pruned_loss=0.1015, over 2787911.71 frames. utt_duration=249.8 frames, utt_pad_proportion=0.06847, over 44898.78 utterances.], batch size: 225, lr: 1.79e-04
+2022-09-19 10:40:36,155 INFO [train.py:885] (0/2) Epoch 26, batch 11050, loss[loss=0.2548, simple_loss=0.3287, pruned_loss=0.09045, over 14251.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04561, over 141.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3441, pruned_loss=0.1004, over 2783919.81 frames. utt_duration=259 frames, utt_pad_proportion=0.06951, over 43248.71 utterances.], batch size: 141, lr: 1.79e-04
+2022-09-19 10:41:06,096 INFO [train.py:885] (0/2) Epoch 26, batch 11100, loss[loss=0.1928, simple_loss=0.2612, pruned_loss=0.06217, over 13415.00 frames. utt_duration=1310 frames, utt_pad_proportion=0.08439, over 41.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.345, pruned_loss=0.1001, over 2783883.50 frames. utt_duration=256.5 frames, utt_pad_proportion=0.07173, over 43661.82 utterances.], batch size: 41, lr: 1.79e-04
+2022-09-19 10:41:34,853 INFO [train.py:885] (0/2) Epoch 26, batch 11150, loss[loss=0.2498, simple_loss=0.3291, pruned_loss=0.0853, over 14304.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03822, over 180.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.345, pruned_loss=0.09911, over 2780180.33 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07327, over 44962.54 utterances.], batch size: 180, lr: 1.79e-04
+2022-09-19 10:42:04,219 INFO [train.py:885] (0/2) Epoch 26, batch 11200, loss[loss=0.1892, simple_loss=0.2571, pruned_loss=0.06064, over 13695.00 frames. utt_duration=1306 frames, utt_pad_proportion=0.08469, over 42.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3455, pruned_loss=0.09915, over 2780985.09 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07255, over 46029.03 utterances.], batch size: 42, lr: 1.79e-04
+2022-09-19 10:42:34,120 INFO [train.py:885] (0/2) Epoch 26, batch 11250, loss[loss=0.2467, simple_loss=0.355, pruned_loss=0.06917, over 13734.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07411, over 411.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3451, pruned_loss=0.09899, over 2780113.03 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07133, over 45415.77 utterances.], batch size: 411, lr: 1.79e-04
+2022-09-19 10:43:03,904 INFO [train.py:885] (0/2) Epoch 26, batch 11300, loss[loss=0.2916, simple_loss=0.3578, pruned_loss=0.1127, over 14341.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03956, over 167.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3487, pruned_loss=0.1016, over 2778983.30 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07237, over 46488.76 utterances.], batch size: 167, lr: 1.79e-04
+2022-09-19 10:43:33,015 INFO [train.py:885] (0/2) Epoch 26, batch 11350, loss[loss=0.1766, simple_loss=0.2447, pruned_loss=0.05429, over 13155.00 frames. utt_duration=1596 frames, utt_pad_proportion=0.1074, over 33.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3489, pruned_loss=0.1012, over 2777489.81 frames. utt_duration=238 frames, utt_pad_proportion=0.07301, over 46965.79 utterances.], batch size: 33, lr: 1.79e-04
+2022-09-19 10:44:02,211 INFO [train.py:885] (0/2) Epoch 26, batch 11400, loss[loss=0.2724, simple_loss=0.3417, pruned_loss=0.1015, over 14233.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.04649, over 141.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3479, pruned_loss=0.1006, over 2776157.88 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07274, over 46462.98 utterances.], batch size: 141, lr: 1.79e-04
+2022-09-19 10:44:32,330 INFO [train.py:885] (0/2) Epoch 26, batch 11450, loss[loss=0.1956, simple_loss=0.2671, pruned_loss=0.062, over 14064.00 frames. utt_duration=713.3 frames, utt_pad_proportion=0.05643, over 79.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.349, pruned_loss=0.1017, over 2782573.79 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07024, over 46552.11 utterances.], batch size: 79, lr: 1.79e-04
+2022-09-19 10:45:01,152 INFO [train.py:885] (0/2) Epoch 26, batch 11500, loss[loss=0.2764, simple_loss=0.3495, pruned_loss=0.1017, over 14390.00 frames. utt_duration=346.1 frames, utt_pad_proportion=0.03594, over 167.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3461, pruned_loss=0.09962, over 2783813.10 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07011, over 45692.19 utterances.], batch size: 167, lr: 1.79e-04
+2022-09-19 10:45:30,521 INFO [train.py:885] (0/2) Epoch 26, batch 11550, loss[loss=0.2296, simple_loss=0.3133, pruned_loss=0.07299, over 14225.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.04729, over 141.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3451, pruned_loss=0.09947, over 2779451.34 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07231, over 45130.37 utterances.], batch size: 141, lr: 1.79e-04
+2022-09-19 10:46:00,929 INFO [train.py:885] (0/2) Epoch 26, batch 11600, loss[loss=0.2145, simple_loss=0.2881, pruned_loss=0.07044, over 14155.00 frames. utt_duration=521 frames, utt_pad_proportion=0.0457, over 109.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3466, pruned_loss=0.1001, over 2781194.73 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07111, over 45612.27 utterances.], batch size: 109, lr: 1.79e-04
+2022-09-19 10:46:29,911 INFO [train.py:885] (0/2) Epoch 26, batch 11650, loss[loss=0.2879, simple_loss=0.367, pruned_loss=0.1045, over 14355.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03642, over 283.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3473, pruned_loss=0.1009, over 2787190.69 frames. utt_duration=247.1 frames, utt_pad_proportion=0.06878, over 45388.81 utterances.], batch size: 283, lr: 1.79e-04
+2022-09-19 10:46:58,709 INFO [train.py:885] (0/2) Epoch 26, batch 11700, loss[loss=0.3307, simple_loss=0.3909, pruned_loss=0.1353, over 14384.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.03162, over 244.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3434, pruned_loss=0.0987, over 2790121.60 frames. utt_duration=255.8 frames, utt_pad_proportion=0.06682, over 43886.61 utterances.], batch size: 244, lr: 1.79e-04
+2022-09-19 10:47:29,011 INFO [train.py:885] (0/2) Epoch 26, batch 11750, loss[loss=0.3395, simple_loss=0.3955, pruned_loss=0.1418, over 14237.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04279, over 335.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3469, pruned_loss=0.1004, over 2785955.18 frames. utt_duration=243.9 frames, utt_pad_proportion=0.06981, over 45967.90 utterances.], batch size: 335, lr: 1.79e-04
+2022-09-19 10:48:06,266 INFO [train.py:885] (0/2) Epoch 26, batch 11800, loss[loss=0.2003, simple_loss=0.2782, pruned_loss=0.06121, over 14135.00 frames. utt_duration=578.1 frames, utt_pad_proportion=0.05067, over 98.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3446, pruned_loss=0.09946, over 2780998.39 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07178, over 45072.46 utterances.], batch size: 98, lr: 1.79e-04
+2022-09-19 10:48:35,786 INFO [train.py:885] (0/2) Epoch 26, batch 11850, loss[loss=0.1335, simple_loss=0.2004, pruned_loss=0.03334, over 13254.00 frames. utt_duration=1608 frames, utt_pad_proportion=0.1023, over 33.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3452, pruned_loss=0.1005, over 2779230.50 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07337, over 45030.33 utterances.], batch size: 33, lr: 1.79e-04
+2022-09-19 10:49:04,702 INFO [train.py:885] (0/2) Epoch 26, batch 11900, loss[loss=0.2113, simple_loss=0.2743, pruned_loss=0.07413, over 14031.00 frames. utt_duration=574.2 frames, utt_pad_proportion=0.05717, over 98.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.344, pruned_loss=0.09978, over 2785627.63 frames. utt_duration=256 frames, utt_pad_proportion=0.07021, over 43784.40 utterances.], batch size: 98, lr: 1.79e-04
+2022-09-19 10:49:33,847 INFO [train.py:885] (0/2) Epoch 26, batch 11950, loss[loss=0.3983, simple_loss=0.4908, pruned_loss=0.1529, over 13211.00 frames. utt_duration=82.46 frames, utt_pad_proportion=0.1037, over 653.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3467, pruned_loss=0.1008, over 2787905.84 frames. utt_duration=251 frames, utt_pad_proportion=0.06912, over 44698.24 utterances.], batch size: 653, lr: 1.79e-04
+2022-09-19 10:50:03,542 INFO [train.py:885] (0/2) Epoch 26, batch 12000, loss[loss=0.1614, simple_loss=0.2271, pruned_loss=0.04784, over 12900.00 frames. utt_duration=2065 frames, utt_pad_proportion=0.1256, over 25.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3511, pruned_loss=0.1018, over 2785287.24 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07106, over 47780.04 utterances.], batch size: 25, lr: 1.79e-04
+2022-09-19 10:50:03,544 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 10:50:07,726 INFO [train.py:914] (0/2) Epoch 26, validation: loss=0.1838, simple_loss=0.2642, pruned_loss=0.05177, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 10:50:36,811 INFO [train.py:885] (0/2) Epoch 26, batch 12050, loss[loss=0.143, simple_loss=0.1998, pruned_loss=0.04308, over 12221.00 frames. utt_duration=2038 frames, utt_pad_proportion=0.162, over 24.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3485, pruned_loss=0.1009, over 2785410.57 frames. utt_duration=242.1 frames, utt_pad_proportion=0.06957, over 46302.12 utterances.], batch size: 24, lr: 1.79e-04
+2022-09-19 10:51:06,292 INFO [train.py:885] (0/2) Epoch 26, batch 12100, loss[loss=0.2536, simple_loss=0.3354, pruned_loss=0.08591, over 14261.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04509, over 141.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.349, pruned_loss=0.1021, over 2789046.19 frames. utt_duration=245.1 frames, utt_pad_proportion=0.06805, over 45795.72 utterances.], batch size: 141, lr: 1.79e-04
+2022-09-19 10:51:35,971 INFO [train.py:885] (0/2) Epoch 26, batch 12150, loss[loss=0.2046, simple_loss=0.276, pruned_loss=0.0666, over 13368.00 frames. utt_duration=1306 frames, utt_pad_proportion=0.08818, over 41.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3447, pruned_loss=0.09995, over 2789743.05 frames. utt_duration=253.7 frames, utt_pad_proportion=0.06667, over 44248.77 utterances.], batch size: 41, lr: 1.79e-04
+2022-09-19 10:52:05,416 INFO [train.py:885] (0/2) Epoch 26, batch 12200, loss[loss=0.3903, simple_loss=0.4311, pruned_loss=0.1747, over 14332.00 frames. utt_duration=204 frames, utt_pad_proportion=0.0377, over 283.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3441, pruned_loss=0.1001, over 2792494.26 frames. utt_duration=258.6 frames, utt_pad_proportion=0.06408, over 43432.93 utterances.], batch size: 283, lr: 1.79e-04
+2022-09-19 10:52:34,782 INFO [train.py:885] (0/2) Epoch 26, batch 12250, loss[loss=0.1375, simple_loss=0.197, pruned_loss=0.03902, over 13911.00 frames. utt_duration=929 frames, utt_pad_proportion=0.06628, over 60.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3424, pruned_loss=0.09913, over 2786009.91 frames. utt_duration=256.3 frames, utt_pad_proportion=0.06654, over 43731.33 utterances.], batch size: 60, lr: 1.79e-04
+2022-09-19 10:53:04,108 INFO [train.py:885] (0/2) Epoch 26, batch 12300, loss[loss=0.3369, simple_loss=0.3993, pruned_loss=0.1373, over 14258.00 frames. utt_duration=294.3 frames, utt_pad_proportion=0.04151, over 195.00 utterances.], tot_loss[loss=0.2676, simple_loss=0.3397, pruned_loss=0.0977, over 2786632.83 frames. utt_duration=262.1 frames, utt_pad_proportion=0.06527, over 42777.21 utterances.], batch size: 195, lr: 1.79e-04
+2022-09-19 10:53:34,069 INFO [train.py:885] (0/2) Epoch 26, batch 12350, loss[loss=0.2198, simple_loss=0.2939, pruned_loss=0.07289, over 14137.00 frames. utt_duration=520.2 frames, utt_pad_proportion=0.04557, over 109.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.344, pruned_loss=0.1004, over 2783369.12 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06954, over 44274.21 utterances.], batch size: 109, lr: 1.79e-04
+2022-09-19 10:54:03,088 INFO [train.py:885] (0/2) Epoch 26, batch 12400, loss[loss=0.1761, simple_loss=0.2425, pruned_loss=0.05489, over 13066.00 frames. utt_duration=2012 frames, utt_pad_proportion=0.09467, over 26.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3433, pruned_loss=0.09903, over 2781407.98 frames. utt_duration=251.9 frames, utt_pad_proportion=0.06949, over 44429.78 utterances.], batch size: 26, lr: 1.79e-04
+2022-09-19 10:54:32,730 INFO [train.py:885] (0/2) Epoch 26, batch 12450, loss[loss=0.2551, simple_loss=0.3438, pruned_loss=0.0832, over 14263.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.04101, over 180.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3454, pruned_loss=0.09961, over 2778959.86 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07051, over 45794.39 utterances.], batch size: 180, lr: 1.79e-04
+2022-09-19 10:55:01,505 INFO [train.py:885] (0/2) Epoch 26, batch 12500, loss[loss=0.2947, simple_loss=0.3725, pruned_loss=0.1084, over 14184.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04517, over 306.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3412, pruned_loss=0.09803, over 2778757.64 frames. utt_duration=257 frames, utt_pad_proportion=0.06897, over 43503.20 utterances.], batch size: 306, lr: 1.79e-04
+2022-09-19 10:55:02,086 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-328000.pt
+2022-09-19 10:55:31,454 INFO [train.py:885] (0/2) Epoch 26, batch 12550, loss[loss=0.3535, simple_loss=0.4328, pruned_loss=0.1371, over 13628.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08078, over 477.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3427, pruned_loss=0.09844, over 2781177.81 frames. utt_duration=252.2 frames, utt_pad_proportion=0.0683, over 44374.09 utterances.], batch size: 477, lr: 1.79e-04
+2022-09-19 10:55:59,412 INFO [train.py:885] (0/2) Epoch 26, batch 12600, loss[loss=0.3176, simple_loss=0.3984, pruned_loss=0.1184, over 13805.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06979, over 411.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3435, pruned_loss=0.09862, over 2778625.52 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06935, over 44689.14 utterances.], batch size: 411, lr: 1.79e-04
+2022-09-19 10:56:10,535 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-26.pt
+2022-09-19 10:56:19,366 INFO [train.py:885] (0/2) Epoch 27, batch 0, loss[loss=0.189, simple_loss=0.2638, pruned_loss=0.05714, over 13998.00 frames. utt_duration=710.2 frames, utt_pad_proportion=0.05933, over 79.00 utterances.], tot_loss[loss=0.189, simple_loss=0.2638, pruned_loss=0.05714, over 13998.00 frames. utt_duration=710.2 frames, utt_pad_proportion=0.05933, over 79.00 utterances.], batch size: 79, lr: 1.76e-04
+2022-09-19 10:56:52,079 INFO [train.py:885] (0/2) Epoch 27, batch 50, loss[loss=0.3138, simple_loss=0.4143, pruned_loss=0.1067, over 13632.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.0813, over 477.00 utterances.], tot_loss[loss=0.2508, simple_loss=0.3256, pruned_loss=0.08798, over 624602.24 frames. utt_duration=264.5 frames, utt_pad_proportion=0.06811, over 9497.35 utterances.], batch size: 477, lr: 1.76e-04
+2022-09-19 10:57:20,783 INFO [train.py:885] (0/2) Epoch 27, batch 100, loss[loss=0.2901, simple_loss=0.3622, pruned_loss=0.1091, over 14251.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.04577, over 141.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3537, pruned_loss=0.1037, over 1103488.68 frames. utt_duration=226.5 frames, utt_pad_proportion=0.07578, over 19615.94 utterances.], batch size: 141, lr: 1.76e-04
+2022-09-19 10:57:49,929 INFO [train.py:885] (0/2) Epoch 27, batch 150, loss[loss=0.1714, simple_loss=0.2462, pruned_loss=0.04831, over 13319.00 frames. utt_duration=1616 frames, utt_pad_proportion=0.1043, over 33.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3457, pruned_loss=0.09857, over 1475912.71 frames. utt_duration=242.2 frames, utt_pad_proportion=0.069, over 24521.74 utterances.], batch size: 33, lr: 1.76e-04
+2022-09-19 10:58:19,249 INFO [train.py:885] (0/2) Epoch 27, batch 200, loss[loss=0.3618, simple_loss=0.414, pruned_loss=0.1547, over 14364.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03309, over 244.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3461, pruned_loss=0.09872, over 1767947.36 frames. utt_duration=243.8 frames, utt_pad_proportion=0.06951, over 29187.51 utterances.], batch size: 244, lr: 1.76e-04
+2022-09-19 10:58:49,368 INFO [train.py:885] (0/2) Epoch 27, batch 250, loss[loss=0.4635, simple_loss=0.5401, pruned_loss=0.1934, over 13194.00 frames. utt_duration=82.33 frames, utt_pad_proportion=0.1051, over 653.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.351, pruned_loss=0.1001, over 1986826.13 frames. utt_duration=229.8 frames, utt_pad_proportion=0.07574, over 34805.68 utterances.], batch size: 653, lr: 1.76e-04
+2022-09-19 10:59:18,739 INFO [train.py:885] (0/2) Epoch 27, batch 300, loss[loss=0.2394, simple_loss=0.3145, pruned_loss=0.08212, over 14300.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.04197, over 120.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3523, pruned_loss=0.1026, over 2164601.01 frames. utt_duration=232 frames, utt_pad_proportion=0.07339, over 37559.37 utterances.], batch size: 120, lr: 1.76e-04
+2022-09-19 10:59:47,892 INFO [train.py:885] (0/2) Epoch 27, batch 350, loss[loss=0.2052, simple_loss=0.2772, pruned_loss=0.06659, over 14198.00 frames. utt_duration=639.7 frames, utt_pad_proportion=0.04667, over 89.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.352, pruned_loss=0.1025, over 2304239.16 frames. utt_duration=232.8 frames, utt_pad_proportion=0.07059, over 39851.85 utterances.], batch size: 89, lr: 1.76e-04
+2022-09-19 11:00:17,609 INFO [train.py:885] (0/2) Epoch 27, batch 400, loss[loss=0.2703, simple_loss=0.3298, pruned_loss=0.1054, over 14111.00 frames. utt_duration=577.4 frames, utt_pad_proportion=0.05193, over 98.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3494, pruned_loss=0.1019, over 2412592.29 frames. utt_duration=241.1 frames, utt_pad_proportion=0.06909, over 40266.95 utterances.], batch size: 98, lr: 1.75e-04
+2022-09-19 11:00:47,689 INFO [train.py:885] (0/2) Epoch 27, batch 450, loss[loss=0.2955, simple_loss=0.3659, pruned_loss=0.1126, over 14372.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03504, over 210.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3478, pruned_loss=0.1001, over 2490228.90 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07225, over 42420.95 utterances.], batch size: 210, lr: 1.75e-04
+2022-09-19 11:01:17,047 INFO [train.py:885] (0/2) Epoch 27, batch 500, loss[loss=0.2314, simple_loss=0.3005, pruned_loss=0.08112, over 14047.00 frames. utt_duration=574.8 frames, utt_pad_proportion=0.05773, over 98.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3479, pruned_loss=0.09999, over 2550032.77 frames. utt_duration=233.8 frames, utt_pad_proportion=0.07446, over 43908.84 utterances.], batch size: 98, lr: 1.75e-04
+2022-09-19 11:01:46,002 INFO [train.py:885] (0/2) Epoch 27, batch 550, loss[loss=0.5486, simple_loss=0.6211, pruned_loss=0.238, over 12448.00 frames. utt_duration=62.99 frames, utt_pad_proportion=0.1487, over 811.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3465, pruned_loss=0.09975, over 2595181.70 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07452, over 43939.44 utterances.], batch size: 811, lr: 1.75e-04
+2022-09-19 11:02:15,792 INFO [train.py:885] (0/2) Epoch 27, batch 600, loss[loss=0.3002, simple_loss=0.3731, pruned_loss=0.1137, over 14332.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03764, over 283.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3467, pruned_loss=0.09894, over 2634516.92 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07563, over 44843.79 utterances.], batch size: 283, lr: 1.75e-04
+2022-09-19 11:02:45,507 INFO [train.py:885] (0/2) Epoch 27, batch 650, loss[loss=0.2839, simple_loss=0.3852, pruned_loss=0.0913, over 13719.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07491, over 411.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3476, pruned_loss=0.09934, over 2666640.90 frames. utt_duration=235.4 frames, utt_pad_proportion=0.0758, over 45610.17 utterances.], batch size: 411, lr: 1.75e-04
+2022-09-19 11:03:15,171 INFO [train.py:885] (0/2) Epoch 27, batch 700, loss[loss=0.2725, simple_loss=0.3515, pruned_loss=0.09678, over 14279.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.04342, over 141.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3442, pruned_loss=0.0975, over 2697101.35 frames. utt_duration=245 frames, utt_pad_proportion=0.07228, over 44308.94 utterances.], batch size: 141, lr: 1.75e-04
+2022-09-19 11:03:44,201 INFO [train.py:885] (0/2) Epoch 27, batch 750, loss[loss=0.2066, simple_loss=0.272, pruned_loss=0.07057, over 14115.00 frames. utt_duration=716.2 frames, utt_pad_proportion=0.05145, over 79.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3442, pruned_loss=0.09744, over 2717752.56 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07135, over 44395.13 utterances.], batch size: 79, lr: 1.75e-04
+2022-09-19 11:04:13,771 INFO [train.py:885] (0/2) Epoch 27, batch 800, loss[loss=0.1702, simple_loss=0.2444, pruned_loss=0.04804, over 13749.00 frames. utt_duration=918 frames, utt_pad_proportion=0.07087, over 60.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.342, pruned_loss=0.0971, over 2730251.63 frames. utt_duration=253.4 frames, utt_pad_proportion=0.07029, over 43356.65 utterances.], batch size: 60, lr: 1.75e-04
+2022-09-19 11:04:50,376 INFO [train.py:885] (0/2) Epoch 27, batch 850, loss[loss=0.2815, simple_loss=0.3653, pruned_loss=0.09885, over 14267.00 frames. utt_duration=253.9 frames, utt_pad_proportion=0.04174, over 226.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3428, pruned_loss=0.09727, over 2739299.21 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07143, over 44364.21 utterances.], batch size: 226, lr: 1.75e-04
+2022-09-19 11:05:20,659 INFO [train.py:885] (0/2) Epoch 27, batch 900, loss[loss=0.2803, simple_loss=0.3762, pruned_loss=0.09221, over 13989.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.0563, over 365.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3463, pruned_loss=0.09948, over 2741028.89 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07642, over 46056.66 utterances.], batch size: 365, lr: 1.75e-04
+2022-09-19 11:05:49,577 INFO [train.py:885] (0/2) Epoch 27, batch 950, loss[loss=0.194, simple_loss=0.276, pruned_loss=0.05603, over 14168.00 frames. utt_duration=638.3 frames, utt_pad_proportion=0.04727, over 89.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3429, pruned_loss=0.09827, over 2752295.93 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07439, over 43857.44 utterances.], batch size: 89, lr: 1.75e-04
+2022-09-19 11:06:20,251 INFO [train.py:885] (0/2) Epoch 27, batch 1000, loss[loss=0.2295, simple_loss=0.2841, pruned_loss=0.08744, over 13304.00 frames. utt_duration=1066 frames, utt_pad_proportion=0.1028, over 50.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3446, pruned_loss=0.09986, over 2757247.75 frames. utt_duration=254 frames, utt_pad_proportion=0.0731, over 43678.38 utterances.], batch size: 50, lr: 1.75e-04
+2022-09-19 11:06:49,430 INFO [train.py:885] (0/2) Epoch 27, batch 1050, loss[loss=0.3059, simple_loss=0.3742, pruned_loss=0.1188, over 14235.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04238, over 306.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3446, pruned_loss=0.1001, over 2767453.55 frames. utt_duration=258.3 frames, utt_pad_proportion=0.07061, over 43100.08 utterances.], batch size: 306, lr: 1.75e-04
+2022-09-19 11:07:19,295 INFO [train.py:885] (0/2) Epoch 27, batch 1100, loss[loss=0.2667, simple_loss=0.3463, pruned_loss=0.0936, over 14335.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03707, over 195.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3445, pruned_loss=0.1001, over 2773048.41 frames. utt_duration=259 frames, utt_pad_proportion=0.0699, over 43070.82 utterances.], batch size: 195, lr: 1.75e-04
+2022-09-19 11:07:47,935 INFO [train.py:885] (0/2) Epoch 27, batch 1150, loss[loss=0.1695, simple_loss=0.2292, pruned_loss=0.05493, over 12848.00 frames. utt_duration=2057 frames, utt_pad_proportion=0.1278, over 25.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3412, pruned_loss=0.09939, over 2775179.18 frames. utt_duration=268.1 frames, utt_pad_proportion=0.06741, over 41626.95 utterances.], batch size: 25, lr: 1.75e-04
+2022-09-19 11:08:17,861 INFO [train.py:885] (0/2) Epoch 27, batch 1200, loss[loss=0.2381, simple_loss=0.3253, pruned_loss=0.07543, over 14284.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.04322, over 141.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3448, pruned_loss=0.1003, over 2778020.14 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06903, over 43466.18 utterances.], batch size: 141, lr: 1.75e-04
+2022-09-19 11:08:47,008 INFO [train.py:885] (0/2) Epoch 27, batch 1250, loss[loss=0.2389, simple_loss=0.3039, pruned_loss=0.08696, over 12911.00 frames. utt_duration=1567 frames, utt_pad_proportion=0.133, over 33.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3462, pruned_loss=0.1007, over 2780667.33 frames. utt_duration=257 frames, utt_pad_proportion=0.0688, over 43533.01 utterances.], batch size: 33, lr: 1.75e-04
+2022-09-19 11:09:16,759 INFO [train.py:885] (0/2) Epoch 27, batch 1300, loss[loss=0.2867, simple_loss=0.3587, pruned_loss=0.1074, over 14382.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03584, over 244.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3454, pruned_loss=0.1004, over 2783808.30 frames. utt_duration=259.6 frames, utt_pad_proportion=0.06857, over 43145.63 utterances.], batch size: 244, lr: 1.75e-04
+2022-09-19 11:09:45,851 INFO [train.py:885] (0/2) Epoch 27, batch 1350, loss[loss=0.2909, simple_loss=0.3857, pruned_loss=0.09803, over 13800.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06993, over 411.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3436, pruned_loss=0.09974, over 2778665.97 frames. utt_duration=260.9 frames, utt_pad_proportion=0.06947, over 42845.81 utterances.], batch size: 411, lr: 1.75e-04
+2022-09-19 11:10:15,699 INFO [train.py:885] (0/2) Epoch 27, batch 1400, loss[loss=0.2203, simple_loss=0.2971, pruned_loss=0.07175, over 14104.00 frames. utt_duration=519 frames, utt_pad_proportion=0.04942, over 109.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3468, pruned_loss=0.1003, over 2779985.80 frames. utt_duration=251.3 frames, utt_pad_proportion=0.07247, over 44507.26 utterances.], batch size: 109, lr: 1.75e-04
+2022-09-19 11:10:45,284 INFO [train.py:885] (0/2) Epoch 27, batch 1450, loss[loss=0.2587, simple_loss=0.3307, pruned_loss=0.09338, over 14226.00 frames. utt_duration=405 frames, utt_pad_proportion=0.04718, over 141.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3449, pruned_loss=0.09938, over 2779013.17 frames. utt_duration=253.7 frames, utt_pad_proportion=0.07189, over 44065.13 utterances.], batch size: 141, lr: 1.75e-04
+2022-09-19 11:11:14,453 INFO [train.py:885] (0/2) Epoch 27, batch 1500, loss[loss=0.2654, simple_loss=0.3187, pruned_loss=0.1061, over 13332.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.09126, over 41.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.344, pruned_loss=0.09916, over 2776037.70 frames. utt_duration=255.5 frames, utt_pad_proportion=0.07257, over 43709.34 utterances.], batch size: 41, lr: 1.75e-04
+2022-09-19 11:11:44,598 INFO [train.py:885] (0/2) Epoch 27, batch 1550, loss[loss=0.2126, simple_loss=0.2822, pruned_loss=0.07152, over 14085.00 frames. utt_duration=714.4 frames, utt_pad_proportion=0.05505, over 79.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3454, pruned_loss=0.09924, over 2775310.36 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07464, over 44812.54 utterances.], batch size: 79, lr: 1.75e-04
+2022-09-19 11:12:13,398 INFO [train.py:885] (0/2) Epoch 27, batch 1600, loss[loss=0.2147, simple_loss=0.2795, pruned_loss=0.07497, over 13673.00 frames. utt_duration=1095 frames, utt_pad_proportion=0.07876, over 50.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.344, pruned_loss=0.09852, over 2776336.80 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07306, over 44757.85 utterances.], batch size: 50, lr: 1.75e-04
+2022-09-19 11:12:43,558 INFO [train.py:885] (0/2) Epoch 27, batch 1650, loss[loss=0.3529, simple_loss=0.4334, pruned_loss=0.1362, over 13716.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07765, over 478.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3452, pruned_loss=0.09906, over 2771277.90 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07595, over 45830.42 utterances.], batch size: 478, lr: 1.75e-04
+2022-09-19 11:13:12,511 INFO [train.py:885] (0/2) Epoch 27, batch 1700, loss[loss=0.3212, simple_loss=0.382, pruned_loss=0.1302, over 14308.00 frames. utt_duration=295 frames, utt_pad_proportion=0.03904, over 195.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3445, pruned_loss=0.0992, over 2774377.31 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07361, over 45397.23 utterances.], batch size: 195, lr: 1.75e-04
+2022-09-19 11:13:42,045 INFO [train.py:885] (0/2) Epoch 27, batch 1750, loss[loss=0.312, simple_loss=0.3958, pruned_loss=0.114, over 13994.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05591, over 365.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3412, pruned_loss=0.09731, over 2780064.97 frames. utt_duration=255.5 frames, utt_pad_proportion=0.07073, over 43779.21 utterances.], batch size: 365, lr: 1.75e-04
+2022-09-19 11:14:11,450 INFO [train.py:885] (0/2) Epoch 27, batch 1800, loss[loss=0.3108, simple_loss=0.3651, pruned_loss=0.1282, over 14208.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.04853, over 141.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3418, pruned_loss=0.09794, over 2782160.29 frames. utt_duration=258.4 frames, utt_pad_proportion=0.06888, over 43308.89 utterances.], batch size: 141, lr: 1.75e-04
+2022-09-19 11:14:41,285 INFO [train.py:885] (0/2) Epoch 27, batch 1850, loss[loss=0.1508, simple_loss=0.2208, pruned_loss=0.04041, over 13667.00 frames. utt_duration=912.6 frames, utt_pad_proportion=0.08004, over 60.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3502, pruned_loss=0.1014, over 2783512.62 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07035, over 47582.39 utterances.], batch size: 60, lr: 1.75e-04
+2022-09-19 11:15:10,577 INFO [train.py:885] (0/2) Epoch 27, batch 1900, loss[loss=0.1997, simple_loss=0.2599, pruned_loss=0.0698, over 13912.00 frames. utt_duration=808.1 frames, utt_pad_proportion=0.0592, over 69.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3504, pruned_loss=0.1008, over 2780952.29 frames. utt_duration=232.6 frames, utt_pad_proportion=0.07328, over 48122.37 utterances.], batch size: 69, lr: 1.75e-04
+2022-09-19 11:15:40,453 INFO [train.py:885] (0/2) Epoch 27, batch 1950, loss[loss=0.2644, simple_loss=0.3252, pruned_loss=0.1018, over 14050.00 frames. utt_duration=574.8 frames, utt_pad_proportion=0.05611, over 98.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3493, pruned_loss=0.1004, over 2783087.71 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07234, over 47759.89 utterances.], batch size: 98, lr: 1.75e-04
+2022-09-19 11:16:10,106 INFO [train.py:885] (0/2) Epoch 27, batch 2000, loss[loss=0.2902, simple_loss=0.3639, pruned_loss=0.1082, over 14372.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03212, over 244.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3493, pruned_loss=0.1002, over 2783586.76 frames. utt_duration=236 frames, utt_pad_proportion=0.07102, over 47468.30 utterances.], batch size: 244, lr: 1.75e-04
+2022-09-19 11:16:39,153 INFO [train.py:885] (0/2) Epoch 27, batch 2050, loss[loss=0.2426, simple_loss=0.326, pruned_loss=0.07964, over 14229.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04691, over 141.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3483, pruned_loss=0.1003, over 2783570.38 frames. utt_duration=238 frames, utt_pad_proportion=0.07118, over 47081.62 utterances.], batch size: 141, lr: 1.75e-04
+2022-09-19 11:17:08,469 INFO [train.py:885] (0/2) Epoch 27, batch 2100, loss[loss=0.2438, simple_loss=0.3287, pruned_loss=0.07941, over 14235.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.04668, over 141.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3479, pruned_loss=0.09995, over 2780808.70 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07286, over 46565.30 utterances.], batch size: 141, lr: 1.75e-04
+2022-09-19 11:17:38,805 INFO [train.py:885] (0/2) Epoch 27, batch 2150, loss[loss=0.2859, simple_loss=0.357, pruned_loss=0.1074, over 14337.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03812, over 262.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.3528, pruned_loss=0.103, over 2779229.79 frames. utt_duration=230.9 frames, utt_pad_proportion=0.07447, over 48450.98 utterances.], batch size: 262, lr: 1.75e-04
+2022-09-19 11:18:08,235 INFO [train.py:885] (0/2) Epoch 27, batch 2200, loss[loss=0.2702, simple_loss=0.3487, pruned_loss=0.09592, over 14337.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03968, over 167.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3483, pruned_loss=0.1008, over 2775514.20 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07369, over 46578.12 utterances.], batch size: 167, lr: 1.75e-04
+2022-09-19 11:18:37,978 INFO [train.py:885] (0/2) Epoch 27, batch 2250, loss[loss=0.2682, simple_loss=0.3468, pruned_loss=0.09477, over 14297.00 frames. utt_duration=373 frames, utt_pad_proportion=0.04125, over 154.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.346, pruned_loss=0.1003, over 2779449.84 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07129, over 45271.58 utterances.], batch size: 154, lr: 1.75e-04
+2022-09-19 11:19:07,439 INFO [train.py:885] (0/2) Epoch 27, batch 2300, loss[loss=0.1909, simple_loss=0.2692, pruned_loss=0.0563, over 14074.00 frames. utt_duration=714.2 frames, utt_pad_proportion=0.05532, over 79.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3468, pruned_loss=0.1003, over 2776789.14 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07302, over 46308.41 utterances.], batch size: 79, lr: 1.75e-04
+2022-09-19 11:19:36,943 INFO [train.py:885] (0/2) Epoch 27, batch 2350, loss[loss=0.4867, simple_loss=0.5719, pruned_loss=0.2008, over 12395.00 frames. utt_duration=62.68 frames, utt_pad_proportion=0.153, over 811.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3474, pruned_loss=0.1006, over 2779640.33 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07416, over 45818.62 utterances.], batch size: 811, lr: 1.75e-04
+2022-09-19 11:20:06,422 INFO [train.py:885] (0/2) Epoch 27, batch 2400, loss[loss=0.6804, simple_loss=0.7261, pruned_loss=0.3174, over 12451.00 frames. utt_duration=62.96 frames, utt_pad_proportion=0.1492, over 811.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3497, pruned_loss=0.1013, over 2783106.27 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07344, over 46620.48 utterances.], batch size: 811, lr: 1.75e-04
+2022-09-19 11:20:36,367 INFO [train.py:885] (0/2) Epoch 27, batch 2450, loss[loss=0.2093, simple_loss=0.2719, pruned_loss=0.07334, over 13745.00 frames. utt_duration=917.8 frames, utt_pad_proportion=0.07576, over 60.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3461, pruned_loss=0.09924, over 2775930.48 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07416, over 46025.91 utterances.], batch size: 60, lr: 1.75e-04
+2022-09-19 11:21:05,811 INFO [train.py:885] (0/2) Epoch 27, batch 2500, loss[loss=0.4646, simple_loss=0.5752, pruned_loss=0.1771, over 12424.00 frames. utt_duration=62.96 frames, utt_pad_proportion=0.1491, over 810.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3492, pruned_loss=0.1006, over 2775289.33 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07614, over 46816.44 utterances.], batch size: 810, lr: 1.75e-04
+2022-09-19 11:21:35,782 INFO [train.py:885] (0/2) Epoch 27, batch 2550, loss[loss=0.2524, simple_loss=0.329, pruned_loss=0.08792, over 14339.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03986, over 167.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3517, pruned_loss=0.1014, over 2775209.30 frames. utt_duration=230 frames, utt_pad_proportion=0.07633, over 48576.65 utterances.], batch size: 167, lr: 1.75e-04
+2022-09-19 11:22:04,654 INFO [train.py:885] (0/2) Epoch 27, batch 2600, loss[loss=0.2339, simple_loss=0.3102, pruned_loss=0.07878, over 14298.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.04038, over 130.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3477, pruned_loss=0.1001, over 2779094.66 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07399, over 45967.22 utterances.], batch size: 130, lr: 1.75e-04
+2022-09-19 11:22:34,499 INFO [train.py:885] (0/2) Epoch 27, batch 2650, loss[loss=0.2534, simple_loss=0.334, pruned_loss=0.08644, over 14285.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03934, over 180.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3482, pruned_loss=0.1004, over 2778044.20 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07414, over 46223.61 utterances.], batch size: 180, lr: 1.75e-04
+2022-09-19 11:23:03,919 INFO [train.py:885] (0/2) Epoch 27, batch 2700, loss[loss=0.2401, simple_loss=0.3159, pruned_loss=0.08213, over 14242.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.04622, over 141.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3484, pruned_loss=0.1004, over 2781089.06 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07269, over 46217.23 utterances.], batch size: 141, lr: 1.75e-04
+2022-09-19 11:23:33,607 INFO [train.py:885] (0/2) Epoch 27, batch 2750, loss[loss=0.1798, simple_loss=0.2497, pruned_loss=0.05502, over 13438.00 frames. utt_duration=1077 frames, utt_pad_proportion=0.09457, over 50.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3424, pruned_loss=0.09714, over 2777476.74 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07147, over 44656.62 utterances.], batch size: 50, lr: 1.75e-04
+2022-09-19 11:24:03,063 INFO [train.py:885] (0/2) Epoch 27, batch 2800, loss[loss=0.3136, simple_loss=0.3791, pruned_loss=0.1241, over 14352.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03583, over 195.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3416, pruned_loss=0.09744, over 2777655.24 frames. utt_duration=256 frames, utt_pad_proportion=0.07218, over 43647.12 utterances.], batch size: 195, lr: 1.75e-04
+2022-09-19 11:24:32,649 INFO [train.py:885] (0/2) Epoch 27, batch 2850, loss[loss=0.1708, simple_loss=0.2499, pruned_loss=0.04586, over 14078.00 frames. utt_duration=714 frames, utt_pad_proportion=0.05556, over 79.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3462, pruned_loss=0.09942, over 2777243.38 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07381, over 46021.71 utterances.], batch size: 79, lr: 1.75e-04
+2022-09-19 11:25:02,676 INFO [train.py:885] (0/2) Epoch 27, batch 2900, loss[loss=0.2089, simple_loss=0.2918, pruned_loss=0.06301, over 14130.00 frames. utt_duration=520.1 frames, utt_pad_proportion=0.04738, over 109.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3468, pruned_loss=0.09976, over 2776522.91 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07412, over 46610.07 utterances.], batch size: 109, lr: 1.75e-04
+2022-09-19 11:25:32,284 INFO [train.py:885] (0/2) Epoch 27, batch 2950, loss[loss=0.1726, simple_loss=0.2521, pruned_loss=0.04656, over 13417.00 frames. utt_duration=1311 frames, utt_pad_proportion=0.08484, over 41.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3451, pruned_loss=0.09868, over 2774569.24 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07384, over 45714.26 utterances.], batch size: 41, lr: 1.75e-04
+2022-09-19 11:26:01,458 INFO [train.py:885] (0/2) Epoch 27, batch 3000, loss[loss=0.2384, simple_loss=0.318, pruned_loss=0.07938, over 14333.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04006, over 167.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3443, pruned_loss=0.09887, over 2779168.42 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07109, over 44958.60 utterances.], batch size: 167, lr: 1.75e-04
+2022-09-19 11:26:01,460 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 11:26:05,626 INFO [train.py:914] (0/2) Epoch 27, validation: loss=0.1962, simple_loss=0.2755, pruned_loss=0.05838, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 11:26:34,983 INFO [train.py:885] (0/2) Epoch 27, batch 3050, loss[loss=0.2728, simple_loss=0.3727, pruned_loss=0.08648, over 13769.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07258, over 411.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3479, pruned_loss=0.1005, over 2785048.79 frames. utt_duration=242.9 frames, utt_pad_proportion=0.06949, over 46148.11 utterances.], batch size: 411, lr: 1.75e-04
+2022-09-19 11:27:04,359 INFO [train.py:885] (0/2) Epoch 27, batch 3100, loss[loss=0.195, simple_loss=0.2676, pruned_loss=0.06121, over 14210.00 frames. utt_duration=640 frames, utt_pad_proportion=0.04617, over 89.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3476, pruned_loss=0.101, over 2779124.18 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07164, over 46099.30 utterances.], batch size: 89, lr: 1.75e-04
+2022-09-19 11:27:41,348 INFO [train.py:885] (0/2) Epoch 27, batch 3150, loss[loss=0.2189, simple_loss=0.286, pruned_loss=0.07585, over 14119.00 frames. utt_duration=577.7 frames, utt_pad_proportion=0.05289, over 98.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3476, pruned_loss=0.1017, over 2779876.08 frames. utt_duration=242.7 frames, utt_pad_proportion=0.071, over 46089.90 utterances.], batch size: 98, lr: 1.75e-04
+2022-09-19 11:28:11,204 INFO [train.py:885] (0/2) Epoch 27, batch 3200, loss[loss=0.2095, simple_loss=0.2857, pruned_loss=0.06661, over 14129.00 frames. utt_duration=520.1 frames, utt_pad_proportion=0.04737, over 109.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3499, pruned_loss=0.1018, over 2780724.11 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07317, over 47140.02 utterances.], batch size: 109, lr: 1.75e-04
+2022-09-19 11:28:40,003 INFO [train.py:885] (0/2) Epoch 27, batch 3250, loss[loss=0.4152, simple_loss=0.4513, pruned_loss=0.1895, over 14221.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04418, over 335.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3473, pruned_loss=0.1015, over 2784183.96 frames. utt_duration=246 frames, utt_pad_proportion=0.07062, over 45551.32 utterances.], batch size: 335, lr: 1.75e-04
+2022-09-19 11:29:09,337 INFO [train.py:885] (0/2) Epoch 27, batch 3300, loss[loss=0.2393, simple_loss=0.3282, pruned_loss=0.0752, over 14353.00 frames. utt_duration=443.1 frames, utt_pad_proportion=0.03679, over 130.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3452, pruned_loss=0.1001, over 2789686.70 frames. utt_duration=251.7 frames, utt_pad_proportion=0.06831, over 44598.57 utterances.], batch size: 130, lr: 1.75e-04
+2022-09-19 11:29:39,245 INFO [train.py:885] (0/2) Epoch 27, batch 3350, loss[loss=0.3738, simple_loss=0.4387, pruned_loss=0.1544, over 13996.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05653, over 365.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3474, pruned_loss=0.1007, over 2785672.37 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07038, over 46355.84 utterances.], batch size: 365, lr: 1.75e-04
+2022-09-19 11:30:08,840 INFO [train.py:885] (0/2) Epoch 27, batch 3400, loss[loss=0.3164, simple_loss=0.3879, pruned_loss=0.1224, over 14223.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04424, over 335.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3462, pruned_loss=0.1001, over 2784421.14 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07066, over 46039.40 utterances.], batch size: 335, lr: 1.75e-04
+2022-09-19 11:30:38,259 INFO [train.py:885] (0/2) Epoch 27, batch 3450, loss[loss=0.2798, simple_loss=0.3539, pruned_loss=0.1029, over 14252.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04247, over 225.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3444, pruned_loss=0.09868, over 2780124.47 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07138, over 45761.95 utterances.], batch size: 225, lr: 1.75e-04
+2022-09-19 11:31:07,381 INFO [train.py:885] (0/2) Epoch 27, batch 3500, loss[loss=0.1953, simple_loss=0.2758, pruned_loss=0.05743, over 14181.00 frames. utt_duration=638.7 frames, utt_pad_proportion=0.04813, over 89.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3431, pruned_loss=0.09759, over 2783921.02 frames. utt_duration=246.3 frames, utt_pad_proportion=0.0698, over 45482.25 utterances.], batch size: 89, lr: 1.75e-04
+2022-09-19 11:31:37,321 INFO [train.py:885] (0/2) Epoch 27, batch 3550, loss[loss=0.2755, simple_loss=0.3519, pruned_loss=0.09954, over 14249.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04195, over 225.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3415, pruned_loss=0.09778, over 2785216.18 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06662, over 44159.72 utterances.], batch size: 225, lr: 1.75e-04
+2022-09-19 11:32:06,809 INFO [train.py:885] (0/2) Epoch 27, batch 3600, loss[loss=0.3314, simple_loss=0.3912, pruned_loss=0.1358, over 14382.00 frames. utt_duration=275.3 frames, utt_pad_proportion=0.03387, over 210.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3455, pruned_loss=0.09993, over 2782475.64 frames. utt_duration=243.4 frames, utt_pad_proportion=0.06811, over 46003.06 utterances.], batch size: 210, lr: 1.75e-04
+2022-09-19 11:32:36,365 INFO [train.py:885] (0/2) Epoch 27, batch 3650, loss[loss=0.2723, simple_loss=0.3653, pruned_loss=0.08967, over 13987.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.0564, over 365.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.343, pruned_loss=0.09807, over 2784686.50 frames. utt_duration=250.8 frames, utt_pad_proportion=0.06725, over 44676.52 utterances.], batch size: 365, lr: 1.75e-04
+2022-09-19 11:33:05,949 INFO [train.py:885] (0/2) Epoch 27, batch 3700, loss[loss=0.2995, simple_loss=0.3789, pruned_loss=0.11, over 14305.00 frames. utt_duration=295 frames, utt_pad_proportion=0.03924, over 195.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3416, pruned_loss=0.09741, over 2785649.91 frames. utt_duration=258.3 frames, utt_pad_proportion=0.06689, over 43382.29 utterances.], batch size: 195, lr: 1.75e-04
+2022-09-19 11:33:35,943 INFO [train.py:885] (0/2) Epoch 27, batch 3750, loss[loss=0.2182, simple_loss=0.2986, pruned_loss=0.06884, over 14358.00 frames. utt_duration=479.9 frames, utt_pad_proportion=0.03643, over 120.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3457, pruned_loss=0.0995, over 2782217.77 frames. utt_duration=245.5 frames, utt_pad_proportion=0.06944, over 45595.89 utterances.], batch size: 120, lr: 1.75e-04
+2022-09-19 11:34:05,477 INFO [train.py:885] (0/2) Epoch 27, batch 3800, loss[loss=0.2909, simple_loss=0.3852, pruned_loss=0.09829, over 13821.00 frames. utt_duration=136.1 frames, utt_pad_proportion=0.06799, over 411.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3473, pruned_loss=0.09985, over 2780612.88 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07073, over 46418.80 utterances.], batch size: 411, lr: 1.75e-04
+2022-09-19 11:34:34,938 INFO [train.py:885] (0/2) Epoch 27, batch 3850, loss[loss=0.1789, simple_loss=0.2428, pruned_loss=0.05752, over 14084.00 frames. utt_duration=714.6 frames, utt_pad_proportion=0.05347, over 79.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.347, pruned_loss=0.0999, over 2779870.31 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07188, over 46786.58 utterances.], batch size: 79, lr: 1.75e-04
+2022-09-19 11:34:53,277 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-332000.pt
+2022-09-19 11:35:04,298 INFO [train.py:885] (0/2) Epoch 27, batch 3900, loss[loss=0.1741, simple_loss=0.2395, pruned_loss=0.05435, over 13398.00 frames. utt_duration=1073 frames, utt_pad_proportion=0.09423, over 50.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3437, pruned_loss=0.09813, over 2780507.18 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07042, over 45456.58 utterances.], batch size: 50, lr: 1.75e-04
+2022-09-19 11:35:33,528 INFO [train.py:885] (0/2) Epoch 27, batch 3950, loss[loss=0.2941, simple_loss=0.401, pruned_loss=0.09365, over 13645.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.0802, over 477.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.3411, pruned_loss=0.09682, over 2778717.02 frames. utt_duration=251.4 frames, utt_pad_proportion=0.06982, over 44468.29 utterances.], batch size: 477, lr: 1.75e-04
+2022-09-19 11:36:02,640 INFO [train.py:885] (0/2) Epoch 27, batch 4000, loss[loss=0.4281, simple_loss=0.5113, pruned_loss=0.1724, over 13108.00 frames. utt_duration=81.84 frames, utt_pad_proportion=0.1105, over 653.00 utterances.], tot_loss[loss=0.2653, simple_loss=0.3386, pruned_loss=0.09596, over 2778593.68 frames. utt_duration=255.7 frames, utt_pad_proportion=0.06907, over 43715.33 utterances.], batch size: 653, lr: 1.75e-04
+2022-09-19 11:36:31,810 INFO [train.py:885] (0/2) Epoch 27, batch 4050, loss[loss=0.2874, simple_loss=0.3593, pruned_loss=0.1078, over 14252.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04165, over 225.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.3402, pruned_loss=0.09661, over 2783170.88 frames. utt_duration=255.1 frames, utt_pad_proportion=0.06669, over 43888.34 utterances.], batch size: 225, lr: 1.75e-04
+2022-09-19 11:37:01,945 INFO [train.py:885] (0/2) Epoch 27, batch 4100, loss[loss=0.2306, simple_loss=0.2791, pruned_loss=0.09104, over 13838.00 frames. utt_duration=803.6 frames, utt_pad_proportion=0.06235, over 69.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3432, pruned_loss=0.09715, over 2779428.90 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07143, over 46121.94 utterances.], batch size: 69, lr: 1.75e-04
+2022-09-19 11:37:30,844 INFO [train.py:885] (0/2) Epoch 27, batch 4150, loss[loss=0.2469, simple_loss=0.3286, pruned_loss=0.08258, over 14360.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03836, over 167.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3426, pruned_loss=0.09687, over 2778571.21 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07195, over 45726.72 utterances.], batch size: 167, lr: 1.74e-04
+2022-09-19 11:37:59,888 INFO [train.py:885] (0/2) Epoch 27, batch 4200, loss[loss=0.3646, simple_loss=0.4317, pruned_loss=0.1488, over 13993.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05621, over 365.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3429, pruned_loss=0.09687, over 2778043.66 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07243, over 46333.75 utterances.], batch size: 365, lr: 1.74e-04
+2022-09-19 11:38:29,349 INFO [train.py:885] (0/2) Epoch 27, batch 4250, loss[loss=0.2331, simple_loss=0.3133, pruned_loss=0.07639, over 14334.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03953, over 167.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3403, pruned_loss=0.09635, over 2780112.57 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07015, over 44454.09 utterances.], batch size: 167, lr: 1.74e-04
+2022-09-19 11:38:58,995 INFO [train.py:885] (0/2) Epoch 27, batch 4300, loss[loss=0.5169, simple_loss=0.6052, pruned_loss=0.2143, over 12441.00 frames. utt_duration=63.04 frames, utt_pad_proportion=0.1481, over 810.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3471, pruned_loss=0.1002, over 2777042.23 frames. utt_duration=238 frames, utt_pad_proportion=0.07411, over 46956.69 utterances.], batch size: 810, lr: 1.74e-04
+2022-09-19 11:39:28,404 INFO [train.py:885] (0/2) Epoch 27, batch 4350, loss[loss=0.1802, simple_loss=0.2611, pruned_loss=0.04969, over 13996.00 frames. utt_duration=801 frames, utt_pad_proportion=0.0643, over 70.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3456, pruned_loss=0.09926, over 2774469.44 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07397, over 45822.94 utterances.], batch size: 70, lr: 1.74e-04
+2022-09-19 11:39:58,221 INFO [train.py:885] (0/2) Epoch 27, batch 4400, loss[loss=0.3082, simple_loss=0.376, pruned_loss=0.1202, over 14313.00 frames. utt_duration=220 frames, utt_pad_proportion=0.0394, over 262.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3463, pruned_loss=0.09953, over 2779470.87 frames. utt_duration=243.8 frames, utt_pad_proportion=0.0723, over 45882.93 utterances.], batch size: 262, lr: 1.74e-04
+2022-09-19 11:40:27,023 INFO [train.py:885] (0/2) Epoch 27, batch 4450, loss[loss=0.1808, simple_loss=0.2455, pruned_loss=0.05805, over 13873.00 frames. utt_duration=805.7 frames, utt_pad_proportion=0.06202, over 69.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3442, pruned_loss=0.09894, over 2781938.38 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07248, over 45123.70 utterances.], batch size: 69, lr: 1.74e-04
+2022-09-19 11:40:57,224 INFO [train.py:885] (0/2) Epoch 27, batch 4500, loss[loss=0.1539, simple_loss=0.2285, pruned_loss=0.03968, over 12868.00 frames. utt_duration=2060 frames, utt_pad_proportion=0.1293, over 25.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3476, pruned_loss=0.1006, over 2778806.92 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07373, over 46532.40 utterances.], batch size: 25, lr: 1.74e-04
+2022-09-19 11:41:26,992 INFO [train.py:885] (0/2) Epoch 27, batch 4550, loss[loss=0.217, simple_loss=0.2919, pruned_loss=0.07103, over 14089.00 frames. utt_duration=576.5 frames, utt_pad_proportion=0.05332, over 98.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3477, pruned_loss=0.1007, over 2778361.49 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07372, over 46773.78 utterances.], batch size: 98, lr: 1.74e-04
+2022-09-19 11:41:56,081 INFO [train.py:885] (0/2) Epoch 27, batch 4600, loss[loss=0.2763, simple_loss=0.3493, pruned_loss=0.1016, over 14328.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03713, over 195.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3457, pruned_loss=0.09975, over 2778600.07 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07244, over 45761.85 utterances.], batch size: 195, lr: 1.74e-04
+2022-09-19 11:42:25,647 INFO [train.py:885] (0/2) Epoch 27, batch 4650, loss[loss=0.2906, simple_loss=0.3677, pruned_loss=0.1067, over 14339.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03946, over 167.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3494, pruned_loss=0.1013, over 2780293.53 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07388, over 46894.77 utterances.], batch size: 167, lr: 1.74e-04
+2022-09-19 11:42:54,228 INFO [train.py:885] (0/2) Epoch 27, batch 4700, loss[loss=0.2862, simple_loss=0.3573, pruned_loss=0.1075, over 14336.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.03921, over 154.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3484, pruned_loss=0.1009, over 2780521.33 frames. utt_duration=243 frames, utt_pad_proportion=0.07394, over 46059.61 utterances.], batch size: 154, lr: 1.74e-04
+2022-09-19 11:43:23,845 INFO [train.py:885] (0/2) Epoch 27, batch 4750, loss[loss=0.3084, simple_loss=0.4106, pruned_loss=0.1031, over 13661.00 frames. utt_duration=98.94 frames, utt_pad_proportion=0.07532, over 560.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3508, pruned_loss=0.102, over 2777964.57 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07474, over 47328.66 utterances.], batch size: 560, lr: 1.74e-04
+2022-09-19 11:43:53,485 INFO [train.py:885] (0/2) Epoch 27, batch 4800, loss[loss=0.2055, simple_loss=0.2808, pruned_loss=0.06504, over 14076.00 frames. utt_duration=714.1 frames, utt_pad_proportion=0.05412, over 79.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3485, pruned_loss=0.1011, over 2781161.63 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07292, over 45616.26 utterances.], batch size: 79, lr: 1.74e-04
+2022-09-19 11:44:22,521 INFO [train.py:885] (0/2) Epoch 27, batch 4850, loss[loss=0.2486, simple_loss=0.327, pruned_loss=0.0851, over 14290.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.04275, over 141.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3476, pruned_loss=0.1002, over 2781590.04 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07247, over 45076.98 utterances.], batch size: 141, lr: 1.74e-04
+2022-09-19 11:44:52,548 INFO [train.py:885] (0/2) Epoch 27, batch 4900, loss[loss=0.1787, simple_loss=0.2532, pruned_loss=0.05212, over 13578.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08145, over 50.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3491, pruned_loss=0.1009, over 2780938.80 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07218, over 45876.95 utterances.], batch size: 50, lr: 1.74e-04
+2022-09-19 11:45:22,155 INFO [train.py:885] (0/2) Epoch 27, batch 4950, loss[loss=0.2026, simple_loss=0.2822, pruned_loss=0.06154, over 14016.00 frames. utt_duration=711.1 frames, utt_pad_proportion=0.05934, over 79.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3447, pruned_loss=0.09865, over 2779612.49 frames. utt_duration=249.7 frames, utt_pad_proportion=0.071, over 44792.94 utterances.], batch size: 79, lr: 1.74e-04
+2022-09-19 11:45:50,997 INFO [train.py:885] (0/2) Epoch 27, batch 5000, loss[loss=0.1528, simple_loss=0.2274, pruned_loss=0.03912, over 13726.00 frames. utt_duration=1100 frames, utt_pad_proportion=0.07657, over 50.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3434, pruned_loss=0.09821, over 2783153.12 frames. utt_duration=254 frames, utt_pad_proportion=0.06926, over 44081.16 utterances.], batch size: 50, lr: 1.74e-04
+2022-09-19 11:46:21,041 INFO [train.py:885] (0/2) Epoch 27, batch 5050, loss[loss=0.3823, simple_loss=0.4297, pruned_loss=0.1675, over 14216.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04419, over 335.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3475, pruned_loss=0.1003, over 2781663.51 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07015, over 46212.38 utterances.], batch size: 335, lr: 1.74e-04
+2022-09-19 11:46:51,085 INFO [train.py:885] (0/2) Epoch 27, batch 5100, loss[loss=0.3263, simple_loss=0.4278, pruned_loss=0.1124, over 13602.00 frames. utt_duration=98.46 frames, utt_pad_proportion=0.07977, over 560.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3469, pruned_loss=0.1, over 2782413.34 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07067, over 45780.19 utterances.], batch size: 560, lr: 1.74e-04
+2022-09-19 11:47:20,686 INFO [train.py:885] (0/2) Epoch 27, batch 5150, loss[loss=0.3451, simple_loss=0.3985, pruned_loss=0.1458, over 14340.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03691, over 210.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3481, pruned_loss=0.1012, over 2780441.74 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07176, over 45977.75 utterances.], batch size: 210, lr: 1.74e-04
+2022-09-19 11:47:50,718 INFO [train.py:885] (0/2) Epoch 27, batch 5200, loss[loss=0.2034, simple_loss=0.2917, pruned_loss=0.0575, over 14211.00 frames. utt_duration=523 frames, utt_pad_proportion=0.04211, over 109.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3437, pruned_loss=0.09893, over 2782954.66 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06985, over 44116.02 utterances.], batch size: 109, lr: 1.74e-04
+2022-09-19 11:48:20,009 INFO [train.py:885] (0/2) Epoch 27, batch 5250, loss[loss=0.3363, simple_loss=0.3969, pruned_loss=0.1379, over 14228.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04356, over 335.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3461, pruned_loss=0.09954, over 2783534.63 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07224, over 45852.57 utterances.], batch size: 335, lr: 1.74e-04
+2022-09-19 11:48:50,509 INFO [train.py:885] (0/2) Epoch 27, batch 5300, loss[loss=0.3405, simple_loss=0.39, pruned_loss=0.1455, over 14342.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03695, over 195.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3449, pruned_loss=0.09926, over 2782999.82 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07167, over 45430.60 utterances.], batch size: 195, lr: 1.74e-04
+2022-09-19 11:49:19,974 INFO [train.py:885] (0/2) Epoch 27, batch 5350, loss[loss=0.2663, simple_loss=0.3435, pruned_loss=0.09458, over 14347.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03655, over 195.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3473, pruned_loss=0.1009, over 2780343.18 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07228, over 46258.86 utterances.], batch size: 195, lr: 1.74e-04
+2022-09-19 11:49:49,923 INFO [train.py:885] (0/2) Epoch 27, batch 5400, loss[loss=0.2184, simple_loss=0.2989, pruned_loss=0.0689, over 14140.00 frames. utt_duration=520.4 frames, utt_pad_proportion=0.04696, over 109.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3483, pruned_loss=0.1003, over 2783907.81 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07144, over 47032.56 utterances.], batch size: 109, lr: 1.74e-04
+2022-09-19 11:50:19,692 INFO [train.py:885] (0/2) Epoch 27, batch 5450, loss[loss=0.2629, simple_loss=0.3404, pruned_loss=0.09273, over 14373.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03272, over 244.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.355, pruned_loss=0.103, over 2779563.39 frames. utt_duration=222.2 frames, utt_pad_proportion=0.07614, over 50383.15 utterances.], batch size: 244, lr: 1.74e-04
+2022-09-19 11:50:49,664 INFO [train.py:885] (0/2) Epoch 27, batch 5500, loss[loss=0.2959, simple_loss=0.3696, pruned_loss=0.1111, over 14234.00 frames. utt_duration=317.8 frames, utt_pad_proportion=0.04269, over 180.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3494, pruned_loss=0.101, over 2784134.78 frames. utt_duration=235.4 frames, utt_pad_proportion=0.0733, over 47610.46 utterances.], batch size: 180, lr: 1.74e-04
+2022-09-19 11:51:19,251 INFO [train.py:885] (0/2) Epoch 27, batch 5550, loss[loss=0.2597, simple_loss=0.3424, pruned_loss=0.08851, over 14178.00 frames. utt_duration=403.6 frames, utt_pad_proportion=0.05041, over 141.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3494, pruned_loss=0.1006, over 2777501.36 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07556, over 47657.13 utterances.], batch size: 141, lr: 1.74e-04
+2022-09-19 11:51:48,797 INFO [train.py:885] (0/2) Epoch 27, batch 5600, loss[loss=0.2821, simple_loss=0.3649, pruned_loss=0.0996, over 14275.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04037, over 225.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3492, pruned_loss=0.1014, over 2785278.66 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07243, over 46658.95 utterances.], batch size: 225, lr: 1.74e-04
+2022-09-19 11:52:18,843 INFO [train.py:885] (0/2) Epoch 27, batch 5650, loss[loss=0.2215, simple_loss=0.2854, pruned_loss=0.07876, over 12239.00 frames. utt_duration=2041 frames, utt_pad_proportion=0.1596, over 24.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3486, pruned_loss=0.1011, over 2774686.32 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07315, over 46620.17 utterances.], batch size: 24, lr: 1.74e-04
+2022-09-19 11:52:48,471 INFO [train.py:885] (0/2) Epoch 27, batch 5700, loss[loss=0.4076, simple_loss=0.4418, pruned_loss=0.1867, over 14273.00 frames. utt_duration=171.8 frames, utt_pad_proportion=0.04046, over 335.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3496, pruned_loss=0.102, over 2779070.39 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07234, over 46584.89 utterances.], batch size: 335, lr: 1.74e-04
+2022-09-19 11:53:18,791 INFO [train.py:885] (0/2) Epoch 27, batch 5750, loss[loss=0.2242, simple_loss=0.2979, pruned_loss=0.0753, over 14042.00 frames. utt_duration=574.4 frames, utt_pad_proportion=0.05522, over 98.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3499, pruned_loss=0.1012, over 2782263.82 frames. utt_duration=237 frames, utt_pad_proportion=0.07064, over 47246.72 utterances.], batch size: 98, lr: 1.74e-04
+2022-09-19 11:53:48,974 INFO [train.py:885] (0/2) Epoch 27, batch 5800, loss[loss=0.295, simple_loss=0.3666, pruned_loss=0.1117, over 14346.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03673, over 195.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3485, pruned_loss=0.1005, over 2779509.84 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07187, over 46923.01 utterances.], batch size: 195, lr: 1.74e-04
+2022-09-19 11:54:19,191 INFO [train.py:885] (0/2) Epoch 27, batch 5850, loss[loss=0.3688, simple_loss=0.4372, pruned_loss=0.1502, over 13976.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05738, over 365.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.346, pruned_loss=0.1004, over 2778029.66 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07075, over 45777.01 utterances.], batch size: 365, lr: 1.74e-04
+2022-09-19 11:54:47,911 INFO [train.py:885] (0/2) Epoch 27, batch 5900, loss[loss=0.1547, simple_loss=0.2218, pruned_loss=0.04376, over 13878.00 frames. utt_duration=926.6 frames, utt_pad_proportion=0.06589, over 60.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3447, pruned_loss=0.1002, over 2779625.29 frames. utt_duration=253 frames, utt_pad_proportion=0.06952, over 44206.89 utterances.], batch size: 60, lr: 1.74e-04
+2022-09-19 11:55:18,589 INFO [train.py:885] (0/2) Epoch 27, batch 5950, loss[loss=0.3123, simple_loss=0.3818, pruned_loss=0.1214, over 14336.00 frames. utt_duration=220.5 frames, utt_pad_proportion=0.03733, over 262.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3452, pruned_loss=0.1006, over 2773840.68 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07102, over 45149.39 utterances.], batch size: 262, lr: 1.74e-04
+2022-09-19 11:55:48,055 INFO [train.py:885] (0/2) Epoch 27, batch 6000, loss[loss=0.4549, simple_loss=0.524, pruned_loss=0.1929, over 13582.00 frames. utt_duration=98.34 frames, utt_pad_proportion=0.08092, over 560.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3468, pruned_loss=0.1015, over 2777583.35 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07038, over 46286.60 utterances.], batch size: 560, lr: 1.74e-04
+2022-09-19 11:55:48,058 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 11:55:52,416 INFO [train.py:914] (0/2) Epoch 27, validation: loss=0.1888, simple_loss=0.2713, pruned_loss=0.05318, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 11:56:22,995 INFO [train.py:885] (0/2) Epoch 27, batch 6050, loss[loss=0.3233, simple_loss=0.3768, pruned_loss=0.1349, over 14262.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04487, over 141.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3463, pruned_loss=0.1005, over 2777900.41 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07066, over 46363.53 utterances.], batch size: 141, lr: 1.74e-04
+2022-09-19 11:56:52,363 INFO [train.py:885] (0/2) Epoch 27, batch 6100, loss[loss=0.3366, simple_loss=0.4325, pruned_loss=0.1203, over 13620.00 frames. utt_duration=98.68 frames, utt_pad_proportion=0.07775, over 560.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3441, pruned_loss=0.09887, over 2775856.49 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07049, over 46132.97 utterances.], batch size: 560, lr: 1.74e-04
+2022-09-19 11:57:22,439 INFO [train.py:885] (0/2) Epoch 27, batch 6150, loss[loss=0.1822, simple_loss=0.2371, pruned_loss=0.06366, over 13380.00 frames. utt_duration=1307 frames, utt_pad_proportion=0.08732, over 41.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3469, pruned_loss=0.09975, over 2777117.66 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07222, over 47148.86 utterances.], batch size: 41, lr: 1.74e-04
+2022-09-19 11:57:52,224 INFO [train.py:885] (0/2) Epoch 27, batch 6200, loss[loss=0.1876, simple_loss=0.2636, pruned_loss=0.05578, over 13856.00 frames. utt_duration=925.4 frames, utt_pad_proportion=0.06992, over 60.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3455, pruned_loss=0.09918, over 2779483.90 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07008, over 46570.33 utterances.], batch size: 60, lr: 1.74e-04
+2022-09-19 11:58:21,666 INFO [train.py:885] (0/2) Epoch 27, batch 6250, loss[loss=0.2214, simple_loss=0.2885, pruned_loss=0.0771, over 14168.00 frames. utt_duration=638.4 frames, utt_pad_proportion=0.04859, over 89.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3458, pruned_loss=0.09984, over 2780521.44 frames. utt_duration=244.9 frames, utt_pad_proportion=0.06979, over 45697.81 utterances.], batch size: 89, lr: 1.74e-04
+2022-09-19 11:58:51,635 INFO [train.py:885] (0/2) Epoch 27, batch 6300, loss[loss=0.2396, simple_loss=0.3122, pruned_loss=0.08347, over 14399.00 frames. utt_duration=441 frames, utt_pad_proportion=0.03703, over 131.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3437, pruned_loss=0.09861, over 2777218.04 frames. utt_duration=247.8 frames, utt_pad_proportion=0.0704, over 45106.38 utterances.], batch size: 131, lr: 1.74e-04
+2022-09-19 11:59:21,832 INFO [train.py:885] (0/2) Epoch 27, batch 6350, loss[loss=0.2685, simple_loss=0.3469, pruned_loss=0.09506, over 14288.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.0368, over 154.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3467, pruned_loss=0.09973, over 2777720.57 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07111, over 46609.53 utterances.], batch size: 154, lr: 1.74e-04
+2022-09-19 11:59:51,842 INFO [train.py:885] (0/2) Epoch 27, batch 6400, loss[loss=0.3099, simple_loss=0.3812, pruned_loss=0.1193, over 14326.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03807, over 283.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3454, pruned_loss=0.09978, over 2777898.57 frames. utt_duration=243.7 frames, utt_pad_proportion=0.06999, over 45865.06 utterances.], batch size: 283, lr: 1.74e-04
+2022-09-19 12:00:21,419 INFO [train.py:885] (0/2) Epoch 27, batch 6450, loss[loss=0.2109, simple_loss=0.2904, pruned_loss=0.06564, over 14111.00 frames. utt_duration=577.8 frames, utt_pad_proportion=0.05124, over 98.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3452, pruned_loss=0.09899, over 2779179.83 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07041, over 46096.16 utterances.], batch size: 98, lr: 1.74e-04
+2022-09-19 12:00:52,098 INFO [train.py:885] (0/2) Epoch 27, batch 6500, loss[loss=0.2184, simple_loss=0.2956, pruned_loss=0.0706, over 14309.00 frames. utt_duration=644.6 frames, utt_pad_proportion=0.04076, over 89.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3454, pruned_loss=0.09889, over 2776416.22 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07105, over 46525.29 utterances.], batch size: 89, lr: 1.74e-04
+2022-09-19 12:01:21,757 INFO [train.py:885] (0/2) Epoch 27, batch 6550, loss[loss=0.281, simple_loss=0.3533, pruned_loss=0.1044, over 14280.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03984, over 180.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3463, pruned_loss=0.09872, over 2780366.45 frames. utt_duration=237.1 frames, utt_pad_proportion=0.06988, over 47199.73 utterances.], batch size: 180, lr: 1.74e-04
+2022-09-19 12:01:51,608 INFO [train.py:885] (0/2) Epoch 27, batch 6600, loss[loss=0.3664, simple_loss=0.4144, pruned_loss=0.1592, over 14326.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03807, over 195.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3452, pruned_loss=0.09891, over 2784301.01 frames. utt_duration=247.8 frames, utt_pad_proportion=0.06829, over 45217.17 utterances.], batch size: 195, lr: 1.74e-04
+2022-09-19 12:02:21,009 INFO [train.py:885] (0/2) Epoch 27, batch 6650, loss[loss=0.3463, simple_loss=0.4033, pruned_loss=0.1446, over 14320.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03845, over 283.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3472, pruned_loss=0.0996, over 2783354.92 frames. utt_duration=240.5 frames, utt_pad_proportion=0.06996, over 46582.83 utterances.], batch size: 283, lr: 1.74e-04
+2022-09-19 12:02:51,339 INFO [train.py:885] (0/2) Epoch 27, batch 6700, loss[loss=0.3529, simple_loss=0.4532, pruned_loss=0.1263, over 13141.00 frames. utt_duration=82.02 frames, utt_pad_proportion=0.1084, over 653.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3471, pruned_loss=0.0998, over 2778438.02 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07071, over 46757.97 utterances.], batch size: 653, lr: 1.74e-04
+2022-09-19 12:03:21,211 INFO [train.py:885] (0/2) Epoch 27, batch 6750, loss[loss=0.1922, simple_loss=0.274, pruned_loss=0.0552, over 13966.00 frames. utt_duration=708.6 frames, utt_pad_proportion=0.06269, over 79.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3476, pruned_loss=0.1001, over 2782841.47 frames. utt_duration=241.6 frames, utt_pad_proportion=0.06957, over 46364.45 utterances.], batch size: 79, lr: 1.74e-04
+2022-09-19 12:03:50,608 INFO [train.py:885] (0/2) Epoch 27, batch 6800, loss[loss=0.352, simple_loss=0.4079, pruned_loss=0.148, over 14367.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03259, over 244.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3478, pruned_loss=0.1003, over 2781640.00 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07178, over 46429.56 utterances.], batch size: 244, lr: 1.74e-04
+2022-09-19 12:04:20,448 INFO [train.py:885] (0/2) Epoch 27, batch 6850, loss[loss=0.3172, simple_loss=0.4112, pruned_loss=0.1116, over 13667.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07798, over 477.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3497, pruned_loss=0.101, over 2783495.71 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07117, over 47541.66 utterances.], batch size: 477, lr: 1.74e-04
+2022-09-19 12:04:49,766 INFO [train.py:885] (0/2) Epoch 27, batch 6900, loss[loss=0.4893, simple_loss=0.5518, pruned_loss=0.2133, over 13143.00 frames. utt_duration=82.08 frames, utt_pad_proportion=0.1079, over 653.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3477, pruned_loss=0.1003, over 2778612.27 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07343, over 46547.06 utterances.], batch size: 653, lr: 1.74e-04
+2022-09-19 12:05:19,845 INFO [train.py:885] (0/2) Epoch 27, batch 6950, loss[loss=0.4262, simple_loss=0.4835, pruned_loss=0.1845, over 13924.00 frames. utt_duration=154 frames, utt_pad_proportion=0.06098, over 365.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3479, pruned_loss=0.1011, over 2779190.51 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07363, over 46257.09 utterances.], batch size: 365, lr: 1.74e-04
+2022-09-19 12:05:49,373 INFO [train.py:885] (0/2) Epoch 27, batch 7000, loss[loss=0.4076, simple_loss=0.4486, pruned_loss=0.1832, over 14213.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.0438, over 306.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.345, pruned_loss=0.09975, over 2779242.93 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07161, over 44884.26 utterances.], batch size: 306, lr: 1.74e-04
+2022-09-19 12:06:19,330 INFO [train.py:885] (0/2) Epoch 27, batch 7050, loss[loss=0.1746, simple_loss=0.2529, pruned_loss=0.04813, over 12881.00 frames. utt_duration=2063 frames, utt_pad_proportion=0.1293, over 25.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3442, pruned_loss=0.09884, over 2778744.22 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07229, over 45360.69 utterances.], batch size: 25, lr: 1.74e-04
+2022-09-19 12:06:48,350 INFO [train.py:885] (0/2) Epoch 27, batch 7100, loss[loss=0.2353, simple_loss=0.3144, pruned_loss=0.07807, over 14179.00 frames. utt_duration=638.7 frames, utt_pad_proportion=0.04821, over 89.00 utterances.], tot_loss[loss=0.271, simple_loss=0.344, pruned_loss=0.09906, over 2781242.46 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07089, over 44635.77 utterances.], batch size: 89, lr: 1.74e-04
+2022-09-19 12:07:18,686 INFO [train.py:885] (0/2) Epoch 27, batch 7150, loss[loss=0.1738, simple_loss=0.2275, pruned_loss=0.06003, over 12985.00 frames. utt_duration=1576 frames, utt_pad_proportion=0.1291, over 33.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3442, pruned_loss=0.09988, over 2778804.99 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07159, over 44649.30 utterances.], batch size: 33, lr: 1.74e-04
+2022-09-19 12:07:48,697 INFO [train.py:885] (0/2) Epoch 27, batch 7200, loss[loss=0.1501, simple_loss=0.2278, pruned_loss=0.03615, over 13526.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08088, over 50.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.3396, pruned_loss=0.09708, over 2782474.24 frames. utt_duration=262.7 frames, utt_pad_proportion=0.06819, over 42612.12 utterances.], batch size: 50, lr: 1.74e-04
+2022-09-19 12:08:18,311 INFO [train.py:885] (0/2) Epoch 27, batch 7250, loss[loss=0.3143, simple_loss=0.3805, pruned_loss=0.1241, over 14368.00 frames. utt_duration=296.3 frames, utt_pad_proportion=0.035, over 195.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3422, pruned_loss=0.09813, over 2780728.84 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06804, over 44276.49 utterances.], batch size: 195, lr: 1.74e-04
+2022-09-19 12:08:48,321 INFO [train.py:885] (0/2) Epoch 27, batch 7300, loss[loss=0.2267, simple_loss=0.2968, pruned_loss=0.07829, over 14210.00 frames. utt_duration=522.8 frames, utt_pad_proportion=0.04244, over 109.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.3396, pruned_loss=0.09709, over 2778977.98 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06873, over 43483.88 utterances.], batch size: 109, lr: 1.74e-04
+2022-09-19 12:09:17,965 INFO [train.py:885] (0/2) Epoch 27, batch 7350, loss[loss=0.3526, simple_loss=0.41, pruned_loss=0.1476, over 14210.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04438, over 335.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3409, pruned_loss=0.09748, over 2776837.17 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06873, over 43931.09 utterances.], batch size: 335, lr: 1.74e-04
+2022-09-19 12:09:47,789 INFO [train.py:885] (0/2) Epoch 27, batch 7400, loss[loss=0.2891, simple_loss=0.3859, pruned_loss=0.09617, over 13761.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07171, over 411.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3425, pruned_loss=0.09826, over 2773651.91 frames. utt_duration=251 frames, utt_pad_proportion=0.06952, over 44453.54 utterances.], batch size: 411, lr: 1.74e-04
+2022-09-19 12:10:17,744 INFO [train.py:885] (0/2) Epoch 27, batch 7450, loss[loss=0.3718, simple_loss=0.4685, pruned_loss=0.1376, over 13173.00 frames. utt_duration=82.27 frames, utt_pad_proportion=0.1057, over 653.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3456, pruned_loss=0.09905, over 2772648.61 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07393, over 46464.84 utterances.], batch size: 653, lr: 1.74e-04
+2022-09-19 12:10:46,926 INFO [train.py:885] (0/2) Epoch 27, batch 7500, loss[loss=0.362, simple_loss=0.4082, pruned_loss=0.1579, over 14262.00 frames. utt_duration=171.7 frames, utt_pad_proportion=0.04096, over 335.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.343, pruned_loss=0.09834, over 2777384.86 frames. utt_duration=250.4 frames, utt_pad_proportion=0.0713, over 44630.53 utterances.], batch size: 335, lr: 1.74e-04
+2022-09-19 12:11:16,371 INFO [train.py:885] (0/2) Epoch 27, batch 7550, loss[loss=0.2673, simple_loss=0.3438, pruned_loss=0.09546, over 14267.00 frames. utt_duration=255 frames, utt_pad_proportion=0.0412, over 225.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3434, pruned_loss=0.09904, over 2782212.38 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07001, over 44207.81 utterances.], batch size: 225, lr: 1.74e-04
+2022-09-19 12:11:46,120 INFO [train.py:885] (0/2) Epoch 27, batch 7600, loss[loss=0.264, simple_loss=0.3395, pruned_loss=0.09425, over 14290.00 frames. utt_duration=343.7 frames, utt_pad_proportion=0.04253, over 167.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3431, pruned_loss=0.09808, over 2786775.46 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06744, over 44587.31 utterances.], batch size: 167, lr: 1.74e-04
+2022-09-19 12:12:15,585 INFO [train.py:885] (0/2) Epoch 27, batch 7650, loss[loss=0.2129, simple_loss=0.2598, pruned_loss=0.08295, over 13692.00 frames. utt_duration=1097 frames, utt_pad_proportion=0.0758, over 50.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3444, pruned_loss=0.0988, over 2783883.88 frames. utt_duration=246.2 frames, utt_pad_proportion=0.0692, over 45499.60 utterances.], batch size: 50, lr: 1.74e-04
+2022-09-19 12:12:45,211 INFO [train.py:885] (0/2) Epoch 27, batch 7700, loss[loss=0.3449, simple_loss=0.401, pruned_loss=0.1444, over 14223.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04371, over 335.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3432, pruned_loss=0.09883, over 2782262.85 frames. utt_duration=251.8 frames, utt_pad_proportion=0.069, over 44462.11 utterances.], batch size: 335, lr: 1.74e-04
+2022-09-19 12:13:22,560 INFO [train.py:885] (0/2) Epoch 27, batch 7750, loss[loss=0.2927, simple_loss=0.3726, pruned_loss=0.1064, over 14292.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03909, over 180.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3467, pruned_loss=0.09984, over 2781868.99 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07145, over 46503.89 utterances.], batch size: 180, lr: 1.74e-04
+2022-09-19 12:13:52,451 INFO [train.py:885] (0/2) Epoch 27, batch 7800, loss[loss=0.1653, simple_loss=0.2147, pruned_loss=0.05791, over 12829.00 frames. utt_duration=2054 frames, utt_pad_proportion=0.1142, over 25.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3448, pruned_loss=0.0984, over 2787333.34 frames. utt_duration=244.5 frames, utt_pad_proportion=0.06897, over 45882.04 utterances.], batch size: 25, lr: 1.74e-04
+2022-09-19 12:14:21,697 INFO [train.py:885] (0/2) Epoch 27, batch 7850, loss[loss=0.3432, simple_loss=0.4291, pruned_loss=0.1287, over 13624.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08141, over 477.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3474, pruned_loss=0.1001, over 2787849.97 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07061, over 46726.56 utterances.], batch size: 477, lr: 1.74e-04
+2022-09-19 12:14:40,522 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-336000.pt
+2022-09-19 12:14:52,374 INFO [train.py:885] (0/2) Epoch 27, batch 7900, loss[loss=0.2349, simple_loss=0.3209, pruned_loss=0.07445, over 14274.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.04295, over 154.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3479, pruned_loss=0.09992, over 2786836.47 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07128, over 47169.95 utterances.], batch size: 154, lr: 1.74e-04
+2022-09-19 12:15:21,326 INFO [train.py:885] (0/2) Epoch 27, batch 7950, loss[loss=0.2832, simple_loss=0.3643, pruned_loss=0.1011, over 14356.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03299, over 244.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3467, pruned_loss=0.09926, over 2787162.08 frames. utt_duration=239 frames, utt_pad_proportion=0.07322, over 46947.51 utterances.], batch size: 244, lr: 1.74e-04
+2022-09-19 12:15:51,459 INFO [train.py:885] (0/2) Epoch 27, batch 8000, loss[loss=0.2841, simple_loss=0.3619, pruned_loss=0.1031, over 14394.00 frames. utt_duration=275.5 frames, utt_pad_proportion=0.03325, over 210.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3452, pruned_loss=0.09904, over 2785352.87 frames. utt_duration=242.1 frames, utt_pad_proportion=0.0727, over 46305.30 utterances.], batch size: 210, lr: 1.73e-04
+2022-09-19 12:16:21,449 INFO [train.py:885] (0/2) Epoch 27, batch 8050, loss[loss=0.2806, simple_loss=0.3879, pruned_loss=0.08669, over 13608.00 frames. utt_duration=115.5 frames, utt_pad_proportion=0.08309, over 477.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3438, pruned_loss=0.09799, over 2788919.86 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07081, over 45453.41 utterances.], batch size: 477, lr: 1.73e-04
+2022-09-19 12:16:51,145 INFO [train.py:885] (0/2) Epoch 27, batch 8100, loss[loss=0.145, simple_loss=0.2063, pruned_loss=0.04185, over 12303.00 frames. utt_duration=2052 frames, utt_pad_proportion=0.1554, over 24.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3436, pruned_loss=0.09747, over 2782325.14 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07223, over 45570.03 utterances.], batch size: 24, lr: 1.73e-04
+2022-09-19 12:17:21,233 INFO [train.py:885] (0/2) Epoch 27, batch 8150, loss[loss=0.3762, simple_loss=0.4303, pruned_loss=0.1611, over 14338.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03793, over 262.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3488, pruned_loss=0.1006, over 2786332.89 frames. utt_duration=237 frames, utt_pad_proportion=0.07241, over 47312.44 utterances.], batch size: 262, lr: 1.73e-04
+2022-09-19 12:17:50,604 INFO [train.py:885] (0/2) Epoch 27, batch 8200, loss[loss=0.2669, simple_loss=0.3448, pruned_loss=0.09456, over 12139.00 frames. utt_duration=2024 frames, utt_pad_proportion=0.105, over 24.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3527, pruned_loss=0.1029, over 2781261.17 frames. utt_duration=230.6 frames, utt_pad_proportion=0.07539, over 48559.62 utterances.], batch size: 24, lr: 1.73e-04
+2022-09-19 12:18:19,982 INFO [train.py:885] (0/2) Epoch 27, batch 8250, loss[loss=0.2995, simple_loss=0.3871, pruned_loss=0.1059, over 13971.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.0578, over 365.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3486, pruned_loss=0.1009, over 2783787.89 frames. utt_duration=239.7 frames, utt_pad_proportion=0.0727, over 46739.85 utterances.], batch size: 365, lr: 1.73e-04
+2022-09-19 12:18:50,305 INFO [train.py:885] (0/2) Epoch 27, batch 8300, loss[loss=0.1853, simple_loss=0.2707, pruned_loss=0.04997, over 13839.00 frames. utt_duration=803.7 frames, utt_pad_proportion=0.06542, over 69.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.348, pruned_loss=0.1007, over 2781046.07 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07185, over 46342.39 utterances.], batch size: 69, lr: 1.73e-04
+2022-09-19 12:19:20,178 INFO [train.py:885] (0/2) Epoch 27, batch 8350, loss[loss=0.2172, simple_loss=0.3071, pruned_loss=0.06365, over 14316.00 frames. utt_duration=344.2 frames, utt_pad_proportion=0.04127, over 167.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3482, pruned_loss=0.1006, over 2786320.84 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07058, over 45938.58 utterances.], batch size: 167, lr: 1.73e-04
+2022-09-19 12:19:50,173 INFO [train.py:885] (0/2) Epoch 27, batch 8400, loss[loss=0.1611, simple_loss=0.2305, pruned_loss=0.04586, over 14168.00 frames. utt_duration=810.9 frames, utt_pad_proportion=0.05381, over 70.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3525, pruned_loss=0.103, over 2782866.60 frames. utt_duration=232.9 frames, utt_pad_proportion=0.07234, over 48102.86 utterances.], batch size: 70, lr: 1.73e-04
+2022-09-19 12:20:19,784 INFO [train.py:885] (0/2) Epoch 27, batch 8450, loss[loss=0.2949, simple_loss=0.3706, pruned_loss=0.1096, over 14345.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03394, over 244.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3492, pruned_loss=0.1012, over 2784662.24 frames. utt_duration=241 frames, utt_pad_proportion=0.07141, over 46506.42 utterances.], batch size: 244, lr: 1.73e-04
+2022-09-19 12:20:49,492 INFO [train.py:885] (0/2) Epoch 27, batch 8500, loss[loss=0.197, simple_loss=0.2742, pruned_loss=0.05991, over 14120.00 frames. utt_duration=577.9 frames, utt_pad_proportion=0.05268, over 98.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3469, pruned_loss=0.09977, over 2782141.89 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07096, over 45790.97 utterances.], batch size: 98, lr: 1.73e-04
+2022-09-19 12:21:19,441 INFO [train.py:885] (0/2) Epoch 27, batch 8550, loss[loss=0.4996, simple_loss=0.5996, pruned_loss=0.1998, over 12484.00 frames. utt_duration=63.2 frames, utt_pad_proportion=0.1459, over 810.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3469, pruned_loss=0.09944, over 2783348.42 frames. utt_duration=243 frames, utt_pad_proportion=0.07165, over 46096.88 utterances.], batch size: 810, lr: 1.73e-04
+2022-09-19 12:21:48,612 INFO [train.py:885] (0/2) Epoch 27, batch 8600, loss[loss=0.2366, simple_loss=0.3092, pruned_loss=0.08195, over 14236.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.04651, over 141.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3451, pruned_loss=0.09969, over 2782971.15 frames. utt_duration=252.5 frames, utt_pad_proportion=0.071, over 44336.76 utterances.], batch size: 141, lr: 1.73e-04
+2022-09-19 12:22:18,894 INFO [train.py:885] (0/2) Epoch 27, batch 8650, loss[loss=0.2079, simple_loss=0.2742, pruned_loss=0.07081, over 13401.00 frames. utt_duration=1074 frames, utt_pad_proportion=0.0954, over 50.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3454, pruned_loss=0.1007, over 2782193.55 frames. utt_duration=255.2 frames, utt_pad_proportion=0.0713, over 43858.36 utterances.], batch size: 50, lr: 1.73e-04
+2022-09-19 12:22:48,148 INFO [train.py:885] (0/2) Epoch 27, batch 8700, loss[loss=0.3071, simple_loss=0.3769, pruned_loss=0.1187, over 14317.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03907, over 262.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3455, pruned_loss=0.1, over 2776298.48 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07341, over 44925.11 utterances.], batch size: 262, lr: 1.73e-04
+2022-09-19 12:23:18,034 INFO [train.py:885] (0/2) Epoch 27, batch 8750, loss[loss=0.2727, simple_loss=0.3767, pruned_loss=0.08438, over 13771.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07158, over 411.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3434, pruned_loss=0.09847, over 2782694.09 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06982, over 44023.01 utterances.], batch size: 411, lr: 1.73e-04
+2022-09-19 12:23:47,263 INFO [train.py:885] (0/2) Epoch 27, batch 8800, loss[loss=0.1944, simple_loss=0.2716, pruned_loss=0.05861, over 12606.00 frames. utt_duration=2018 frames, utt_pad_proportion=0.1077, over 25.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3473, pruned_loss=0.09988, over 2780730.47 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07125, over 45983.06 utterances.], batch size: 25, lr: 1.73e-04
+2022-09-19 12:24:18,138 INFO [train.py:885] (0/2) Epoch 27, batch 8850, loss[loss=0.3902, simple_loss=0.486, pruned_loss=0.1472, over 13168.00 frames. utt_duration=82.2 frames, utt_pad_proportion=0.1065, over 653.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3512, pruned_loss=0.1012, over 2777689.46 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07494, over 47937.60 utterances.], batch size: 653, lr: 1.73e-04
+2022-09-19 12:24:47,509 INFO [train.py:885] (0/2) Epoch 27, batch 8900, loss[loss=0.2464, simple_loss=0.3339, pruned_loss=0.07949, over 14256.00 frames. utt_duration=318.2 frames, utt_pad_proportion=0.04158, over 180.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3498, pruned_loss=0.101, over 2776466.04 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07404, over 46989.27 utterances.], batch size: 180, lr: 1.73e-04
+2022-09-19 12:25:16,986 INFO [train.py:885] (0/2) Epoch 27, batch 8950, loss[loss=0.1721, simple_loss=0.2363, pruned_loss=0.05394, over 13460.00 frames. utt_duration=1315 frames, utt_pad_proportion=0.08007, over 41.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3493, pruned_loss=0.1013, over 2775950.45 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07388, over 46609.69 utterances.], batch size: 41, lr: 1.73e-04
+2022-09-19 12:25:46,939 INFO [train.py:885] (0/2) Epoch 27, batch 9000, loss[loss=0.2668, simple_loss=0.3354, pruned_loss=0.09909, over 14321.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.04057, over 167.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3507, pruned_loss=0.1022, over 2769672.13 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07692, over 47813.79 utterances.], batch size: 167, lr: 1.73e-04
+2022-09-19 12:25:46,941 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 12:25:51,112 INFO [train.py:914] (0/2) Epoch 27, validation: loss=0.1927, simple_loss=0.2734, pruned_loss=0.05601, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 12:26:21,291 INFO [train.py:885] (0/2) Epoch 27, batch 9050, loss[loss=0.2589, simple_loss=0.3369, pruned_loss=0.09042, over 14301.00 frames. utt_duration=255.6 frames, utt_pad_proportion=0.03895, over 225.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3473, pruned_loss=0.1002, over 2779940.98 frames. utt_duration=242 frames, utt_pad_proportion=0.07209, over 46225.25 utterances.], batch size: 225, lr: 1.73e-04
+2022-09-19 12:26:50,840 INFO [train.py:885] (0/2) Epoch 27, batch 9100, loss[loss=0.1528, simple_loss=0.2043, pruned_loss=0.05063, over 12425.00 frames. utt_duration=1990 frames, utt_pad_proportion=0.1635, over 25.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.345, pruned_loss=0.09886, over 2779839.33 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07138, over 45137.94 utterances.], batch size: 25, lr: 1.73e-04
+2022-09-19 12:27:20,668 INFO [train.py:885] (0/2) Epoch 27, batch 9150, loss[loss=0.1804, simple_loss=0.2531, pruned_loss=0.05388, over 13638.00 frames. utt_duration=1300 frames, utt_pad_proportion=0.07783, over 42.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3478, pruned_loss=0.1011, over 2781478.02 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07052, over 45627.53 utterances.], batch size: 42, lr: 1.73e-04
+2022-09-19 12:27:51,183 INFO [train.py:885] (0/2) Epoch 27, batch 9200, loss[loss=0.1896, simple_loss=0.2608, pruned_loss=0.05923, over 13797.00 frames. utt_duration=1105 frames, utt_pad_proportion=0.06881, over 50.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3499, pruned_loss=0.1013, over 2778518.54 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07353, over 47777.48 utterances.], batch size: 50, lr: 1.73e-04
+2022-09-19 12:28:21,376 INFO [train.py:885] (0/2) Epoch 27, batch 9250, loss[loss=0.2256, simple_loss=0.2857, pruned_loss=0.08274, over 14179.00 frames. utt_duration=710.4 frames, utt_pad_proportion=0.0515, over 80.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3486, pruned_loss=0.1008, over 2780675.27 frames. utt_duration=241 frames, utt_pad_proportion=0.07399, over 46442.79 utterances.], batch size: 80, lr: 1.73e-04
+2022-09-19 12:28:50,883 INFO [train.py:885] (0/2) Epoch 27, batch 9300, loss[loss=0.2333, simple_loss=0.2899, pruned_loss=0.0884, over 13902.00 frames. utt_duration=705.3 frames, utt_pad_proportion=0.06582, over 79.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.348, pruned_loss=0.1008, over 2779597.85 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07237, over 46678.17 utterances.], batch size: 79, lr: 1.73e-04
+2022-09-19 12:29:21,251 INFO [train.py:885] (0/2) Epoch 27, batch 9350, loss[loss=0.169, simple_loss=0.2582, pruned_loss=0.03986, over 13617.00 frames. utt_duration=1298 frames, utt_pad_proportion=0.08884, over 42.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.346, pruned_loss=0.09954, over 2779241.36 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07249, over 45876.76 utterances.], batch size: 42, lr: 1.73e-04
+2022-09-19 12:29:51,196 INFO [train.py:885] (0/2) Epoch 27, batch 9400, loss[loss=0.1461, simple_loss=0.2, pruned_loss=0.04608, over 13055.00 frames. utt_duration=2090 frames, utt_pad_proportion=0.114, over 25.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3454, pruned_loss=0.09893, over 2779295.23 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07177, over 46164.94 utterances.], batch size: 25, lr: 1.73e-04
+2022-09-19 12:30:21,098 INFO [train.py:885] (0/2) Epoch 27, batch 9450, loss[loss=0.5545, simple_loss=0.6252, pruned_loss=0.2419, over 12495.00 frames. utt_duration=63.23 frames, utt_pad_proportion=0.1455, over 811.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3506, pruned_loss=0.1014, over 2778150.13 frames. utt_duration=230.7 frames, utt_pad_proportion=0.0739, over 48485.10 utterances.], batch size: 811, lr: 1.73e-04
+2022-09-19 12:30:51,787 INFO [train.py:885] (0/2) Epoch 27, batch 9500, loss[loss=0.1565, simple_loss=0.2267, pruned_loss=0.04311, over 13709.00 frames. utt_duration=915.2 frames, utt_pad_proportion=0.07744, over 60.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3469, pruned_loss=0.09958, over 2774302.87 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07358, over 47432.70 utterances.], batch size: 60, lr: 1.73e-04
+2022-09-19 12:31:21,340 INFO [train.py:885] (0/2) Epoch 27, batch 9550, loss[loss=0.3305, simple_loss=0.3728, pruned_loss=0.144, over 14333.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.03792, over 120.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3458, pruned_loss=0.099, over 2777373.74 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07177, over 46260.90 utterances.], batch size: 120, lr: 1.73e-04
+2022-09-19 12:31:50,971 INFO [train.py:885] (0/2) Epoch 27, batch 9600, loss[loss=0.528, simple_loss=0.6067, pruned_loss=0.2246, over 12460.00 frames. utt_duration=63.08 frames, utt_pad_proportion=0.1476, over 810.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3453, pruned_loss=0.09929, over 2777176.70 frames. utt_duration=245.1 frames, utt_pad_proportion=0.0722, over 45606.45 utterances.], batch size: 810, lr: 1.73e-04
+2022-09-19 12:32:20,861 INFO [train.py:885] (0/2) Epoch 27, batch 9650, loss[loss=0.3109, simple_loss=0.4123, pruned_loss=0.1047, over 13600.00 frames. utt_duration=98.62 frames, utt_pad_proportion=0.07832, over 560.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3428, pruned_loss=0.09829, over 2779845.09 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07084, over 44910.89 utterances.], batch size: 560, lr: 1.73e-04
+2022-09-19 12:32:50,618 INFO [train.py:885] (0/2) Epoch 27, batch 9700, loss[loss=0.2876, simple_loss=0.354, pruned_loss=0.1106, over 14233.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04674, over 141.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3459, pruned_loss=0.09967, over 2775782.33 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07539, over 46131.16 utterances.], batch size: 141, lr: 1.73e-04
+2022-09-19 12:33:20,250 INFO [train.py:885] (0/2) Epoch 27, batch 9750, loss[loss=0.3166, simple_loss=0.4188, pruned_loss=0.1072, over 13622.00 frames. utt_duration=98.74 frames, utt_pad_proportion=0.0772, over 560.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3449, pruned_loss=0.0991, over 2778171.40 frames. utt_duration=246.1 frames, utt_pad_proportion=0.0728, over 45421.82 utterances.], batch size: 560, lr: 1.73e-04
+2022-09-19 12:33:50,649 INFO [train.py:885] (0/2) Epoch 27, batch 9800, loss[loss=0.2515, simple_loss=0.3186, pruned_loss=0.09223, over 14142.00 frames. utt_duration=809.6 frames, utt_pad_proportion=0.05531, over 70.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3458, pruned_loss=0.09927, over 2771020.27 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07562, over 46632.25 utterances.], batch size: 70, lr: 1.73e-04
+2022-09-19 12:34:19,993 INFO [train.py:885] (0/2) Epoch 27, batch 9850, loss[loss=0.2649, simple_loss=0.3334, pruned_loss=0.09816, over 14288.00 frames. utt_duration=477.8 frames, utt_pad_proportion=0.04065, over 120.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3488, pruned_loss=0.1005, over 2773986.66 frames. utt_duration=234.4 frames, utt_pad_proportion=0.07566, over 47629.61 utterances.], batch size: 120, lr: 1.73e-04
+2022-09-19 12:34:50,329 INFO [train.py:885] (0/2) Epoch 27, batch 9900, loss[loss=0.3059, simple_loss=0.3755, pruned_loss=0.1182, over 14301.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03867, over 180.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.35, pruned_loss=0.1008, over 2778022.51 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07618, over 47653.75 utterances.], batch size: 180, lr: 1.73e-04
+2022-09-19 12:35:20,290 INFO [train.py:885] (0/2) Epoch 27, batch 9950, loss[loss=0.1875, simple_loss=0.2592, pruned_loss=0.05787, over 13228.00 frames. utt_duration=2036 frames, utt_pad_proportion=0.1034, over 26.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.349, pruned_loss=0.1006, over 2776093.17 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07435, over 46829.21 utterances.], batch size: 26, lr: 1.73e-04
+2022-09-19 12:35:49,696 INFO [train.py:885] (0/2) Epoch 27, batch 10000, loss[loss=0.3027, simple_loss=0.372, pruned_loss=0.1167, over 14343.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03369, over 244.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3496, pruned_loss=0.1006, over 2778742.37 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07304, over 47042.46 utterances.], batch size: 244, lr: 1.73e-04
+2022-09-19 12:36:19,026 INFO [train.py:885] (0/2) Epoch 27, batch 10050, loss[loss=0.1704, simple_loss=0.2405, pruned_loss=0.05017, over 13995.00 frames. utt_duration=801.3 frames, utt_pad_proportion=0.05728, over 70.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3453, pruned_loss=0.09809, over 2782056.05 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07139, over 45313.48 utterances.], batch size: 70, lr: 1.73e-04
+2022-09-19 12:36:49,341 INFO [train.py:885] (0/2) Epoch 27, batch 10100, loss[loss=0.3618, simple_loss=0.4173, pruned_loss=0.1531, over 14200.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04468, over 306.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3453, pruned_loss=0.09842, over 2781719.52 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07039, over 44809.50 utterances.], batch size: 306, lr: 1.73e-04
+2022-09-19 12:37:20,035 INFO [train.py:885] (0/2) Epoch 27, batch 10150, loss[loss=0.2653, simple_loss=0.3477, pruned_loss=0.09149, over 14332.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03738, over 195.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3469, pruned_loss=0.09897, over 2779572.63 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07263, over 45619.72 utterances.], batch size: 195, lr: 1.73e-04
+2022-09-19 12:37:49,212 INFO [train.py:885] (0/2) Epoch 27, batch 10200, loss[loss=0.1851, simple_loss=0.2496, pruned_loss=0.0603, over 13756.00 frames. utt_duration=918.5 frames, utt_pad_proportion=0.07778, over 60.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3451, pruned_loss=0.0983, over 2781290.58 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07167, over 45114.83 utterances.], batch size: 60, lr: 1.73e-04
+2022-09-19 12:38:19,140 INFO [train.py:885] (0/2) Epoch 27, batch 10250, loss[loss=0.2869, simple_loss=0.3583, pruned_loss=0.1078, over 14324.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.03722, over 180.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3456, pruned_loss=0.09852, over 2780872.05 frames. utt_duration=246.1 frames, utt_pad_proportion=0.0723, over 45468.56 utterances.], batch size: 180, lr: 1.73e-04
+2022-09-19 12:38:49,247 INFO [train.py:885] (0/2) Epoch 27, batch 10300, loss[loss=0.2855, simple_loss=0.3802, pruned_loss=0.09534, over 13944.00 frames. utt_duration=154.2 frames, utt_pad_proportion=0.05951, over 365.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3466, pruned_loss=0.09898, over 2782394.07 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07107, over 45312.28 utterances.], batch size: 365, lr: 1.73e-04
+2022-09-19 12:39:19,148 INFO [train.py:885] (0/2) Epoch 27, batch 10350, loss[loss=0.2429, simple_loss=0.3144, pruned_loss=0.08571, over 14318.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.03737, over 130.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3479, pruned_loss=0.09972, over 2782532.40 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07186, over 45722.15 utterances.], batch size: 130, lr: 1.73e-04
+2022-09-19 12:39:48,446 INFO [train.py:885] (0/2) Epoch 27, batch 10400, loss[loss=0.3056, simple_loss=0.3785, pruned_loss=0.1164, over 14307.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.04063, over 154.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3426, pruned_loss=0.09758, over 2781093.71 frames. utt_duration=256.8 frames, utt_pad_proportion=0.07039, over 43568.90 utterances.], batch size: 154, lr: 1.73e-04
+2022-09-19 12:40:18,314 INFO [train.py:885] (0/2) Epoch 27, batch 10450, loss[loss=0.1743, simple_loss=0.2415, pruned_loss=0.05355, over 13306.00 frames. utt_duration=1300 frames, utt_pad_proportion=0.09243, over 41.00 utterances.], tot_loss[loss=0.268, simple_loss=0.342, pruned_loss=0.09704, over 2778917.86 frames. utt_duration=254.2 frames, utt_pad_proportion=0.07166, over 43985.16 utterances.], batch size: 41, lr: 1.73e-04
+2022-09-19 12:40:47,439 INFO [train.py:885] (0/2) Epoch 27, batch 10500, loss[loss=0.413, simple_loss=0.4768, pruned_loss=0.1746, over 13632.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08096, over 477.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3455, pruned_loss=0.09865, over 2778068.03 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07388, over 45610.55 utterances.], batch size: 477, lr: 1.73e-04
+2022-09-19 12:41:17,229 INFO [train.py:885] (0/2) Epoch 27, batch 10550, loss[loss=0.2145, simple_loss=0.2877, pruned_loss=0.07065, over 13813.00 frames. utt_duration=922.2 frames, utt_pad_proportion=0.07031, over 60.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3467, pruned_loss=0.09916, over 2778973.44 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07365, over 46319.98 utterances.], batch size: 60, lr: 1.73e-04
+2022-09-19 12:41:46,359 INFO [train.py:885] (0/2) Epoch 27, batch 10600, loss[loss=0.2214, simple_loss=0.3152, pruned_loss=0.06377, over 14354.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03831, over 167.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3447, pruned_loss=0.09849, over 2779049.21 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07143, over 45024.30 utterances.], batch size: 167, lr: 1.73e-04
+2022-09-19 12:42:15,916 INFO [train.py:885] (0/2) Epoch 27, batch 10650, loss[loss=0.2702, simple_loss=0.3512, pruned_loss=0.09466, over 14290.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.04217, over 154.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3487, pruned_loss=0.09998, over 2781077.68 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07086, over 46472.24 utterances.], batch size: 154, lr: 1.73e-04
+2022-09-19 12:42:46,225 INFO [train.py:885] (0/2) Epoch 27, batch 10700, loss[loss=0.1318, simple_loss=0.1656, pruned_loss=0.04899, over 12636.00 frames. utt_duration=2023 frames, utt_pad_proportion=0.1514, over 25.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3484, pruned_loss=0.1002, over 2779060.50 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07186, over 46424.86 utterances.], batch size: 25, lr: 1.73e-04
+2022-09-19 12:43:15,723 INFO [train.py:885] (0/2) Epoch 27, batch 10750, loss[loss=0.3161, simple_loss=0.3926, pruned_loss=0.1198, over 13938.00 frames. utt_duration=154.2 frames, utt_pad_proportion=0.05992, over 365.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3525, pruned_loss=0.1022, over 2778073.37 frames. utt_duration=230 frames, utt_pad_proportion=0.07289, over 48628.33 utterances.], batch size: 365, lr: 1.73e-04
+2022-09-19 12:43:45,705 INFO [train.py:885] (0/2) Epoch 27, batch 10800, loss[loss=0.3184, simple_loss=0.421, pruned_loss=0.1078, over 13644.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08011, over 477.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3512, pruned_loss=0.1012, over 2780247.35 frames. utt_duration=233.6 frames, utt_pad_proportion=0.07174, over 47912.93 utterances.], batch size: 477, lr: 1.73e-04
+2022-09-19 12:44:15,784 INFO [train.py:885] (0/2) Epoch 27, batch 10850, loss[loss=0.1695, simple_loss=0.2277, pruned_loss=0.05566, over 12145.00 frames. utt_duration=2025 frames, utt_pad_proportion=0.1892, over 24.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3531, pruned_loss=0.1028, over 2780983.11 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07144, over 48012.96 utterances.], batch size: 24, lr: 1.73e-04
+2022-09-19 12:44:45,072 INFO [train.py:885] (0/2) Epoch 27, batch 10900, loss[loss=0.2283, simple_loss=0.2996, pruned_loss=0.07852, over 14137.00 frames. utt_duration=636.8 frames, utt_pad_proportion=0.05094, over 89.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3483, pruned_loss=0.1004, over 2781772.81 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07137, over 46491.66 utterances.], batch size: 89, lr: 1.73e-04
+2022-09-19 12:45:15,544 INFO [train.py:885] (0/2) Epoch 27, batch 10950, loss[loss=0.3262, simple_loss=0.4204, pruned_loss=0.116, over 13633.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08075, over 477.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3504, pruned_loss=0.1015, over 2777818.19 frames. utt_duration=232.5 frames, utt_pad_proportion=0.07362, over 48104.88 utterances.], batch size: 477, lr: 1.73e-04
+2022-09-19 12:45:44,917 INFO [train.py:885] (0/2) Epoch 27, batch 11000, loss[loss=0.3299, simple_loss=0.4178, pruned_loss=0.121, over 13601.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08258, over 477.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.3527, pruned_loss=0.102, over 2778651.86 frames. utt_duration=224.3 frames, utt_pad_proportion=0.07394, over 49886.45 utterances.], batch size: 477, lr: 1.73e-04
+2022-09-19 12:46:14,032 INFO [train.py:885] (0/2) Epoch 27, batch 11050, loss[loss=0.2267, simple_loss=0.3123, pruned_loss=0.07056, over 14306.00 frames. utt_duration=478.4 frames, utt_pad_proportion=0.03742, over 120.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3469, pruned_loss=0.0987, over 2777234.19 frames. utt_duration=232.9 frames, utt_pad_proportion=0.07424, over 48005.42 utterances.], batch size: 120, lr: 1.73e-04
+2022-09-19 12:46:43,845 INFO [train.py:885] (0/2) Epoch 27, batch 11100, loss[loss=0.1835, simple_loss=0.2581, pruned_loss=0.05449, over 14249.00 frames. utt_duration=641.9 frames, utt_pad_proportion=0.04344, over 89.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3489, pruned_loss=0.09948, over 2779055.48 frames. utt_duration=231 frames, utt_pad_proportion=0.07327, over 48435.19 utterances.], batch size: 89, lr: 1.73e-04
+2022-09-19 12:47:13,602 INFO [train.py:885] (0/2) Epoch 27, batch 11150, loss[loss=0.4601, simple_loss=0.5281, pruned_loss=0.196, over 13170.00 frames. utt_duration=82.21 frames, utt_pad_proportion=0.1065, over 653.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3469, pruned_loss=0.09882, over 2782366.76 frames. utt_duration=237 frames, utt_pad_proportion=0.07053, over 47263.06 utterances.], batch size: 653, lr: 1.73e-04
+2022-09-19 12:47:43,559 INFO [train.py:885] (0/2) Epoch 27, batch 11200, loss[loss=0.1433, simple_loss=0.1972, pruned_loss=0.0447, over 13326.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.08985, over 41.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3442, pruned_loss=0.09769, over 2777485.45 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07144, over 46916.33 utterances.], batch size: 41, lr: 1.73e-04
+2022-09-19 12:48:12,925 INFO [train.py:885] (0/2) Epoch 27, batch 11250, loss[loss=0.3413, simple_loss=0.3984, pruned_loss=0.1421, over 14354.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.03818, over 167.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3483, pruned_loss=0.09952, over 2779149.81 frames. utt_duration=232.9 frames, utt_pad_proportion=0.07184, over 48030.68 utterances.], batch size: 167, lr: 1.73e-04
+2022-09-19 12:48:43,400 INFO [train.py:885] (0/2) Epoch 27, batch 11300, loss[loss=0.4113, simple_loss=0.4491, pruned_loss=0.1868, over 14361.00 frames. utt_duration=296.1 frames, utt_pad_proportion=0.03563, over 195.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3519, pruned_loss=0.1017, over 2780451.61 frames. utt_duration=227.8 frames, utt_pad_proportion=0.07349, over 49135.98 utterances.], batch size: 195, lr: 1.73e-04
+2022-09-19 12:49:12,779 INFO [train.py:885] (0/2) Epoch 27, batch 11350, loss[loss=0.2343, simple_loss=0.3103, pruned_loss=0.07917, over 14192.00 frames. utt_duration=522.3 frames, utt_pad_proportion=0.0434, over 109.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3505, pruned_loss=0.1011, over 2777376.00 frames. utt_duration=229.2 frames, utt_pad_proportion=0.07459, over 48781.14 utterances.], batch size: 109, lr: 1.73e-04
+2022-09-19 12:49:42,547 INFO [train.py:885] (0/2) Epoch 27, batch 11400, loss[loss=0.2401, simple_loss=0.322, pruned_loss=0.07915, over 14272.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.04241, over 130.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3514, pruned_loss=0.1013, over 2776284.90 frames. utt_duration=228.7 frames, utt_pad_proportion=0.07497, over 48872.33 utterances.], batch size: 130, lr: 1.73e-04
+2022-09-19 12:50:12,648 INFO [train.py:885] (0/2) Epoch 27, batch 11450, loss[loss=0.3077, simple_loss=0.3767, pruned_loss=0.1193, over 14320.00 frames. utt_duration=256.1 frames, utt_pad_proportion=0.03734, over 225.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3501, pruned_loss=0.1001, over 2779951.69 frames. utt_duration=232 frames, utt_pad_proportion=0.07391, over 48237.74 utterances.], batch size: 225, lr: 1.73e-04
+2022-09-19 12:50:41,981 INFO [train.py:885] (0/2) Epoch 27, batch 11500, loss[loss=0.1833, simple_loss=0.2594, pruned_loss=0.05354, over 13925.00 frames. utt_duration=706.8 frames, utt_pad_proportion=0.06507, over 79.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3462, pruned_loss=0.09828, over 2782540.56 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07099, over 46526.50 utterances.], batch size: 79, lr: 1.73e-04
+2022-09-19 12:51:11,333 INFO [train.py:885] (0/2) Epoch 27, batch 11550, loss[loss=0.1657, simple_loss=0.2358, pruned_loss=0.04785, over 12258.00 frames. utt_duration=2044 frames, utt_pad_proportion=0.17, over 24.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.346, pruned_loss=0.09851, over 2783302.81 frames. utt_duration=241.5 frames, utt_pad_proportion=0.06986, over 46381.88 utterances.], batch size: 24, lr: 1.73e-04
+2022-09-19 12:51:41,467 INFO [train.py:885] (0/2) Epoch 27, batch 11600, loss[loss=0.1594, simple_loss=0.2353, pruned_loss=0.04177, over 13564.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08245, over 50.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3482, pruned_loss=0.09984, over 2783214.60 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07062, over 46849.83 utterances.], batch size: 50, lr: 1.73e-04
+2022-09-19 12:52:11,270 INFO [train.py:885] (0/2) Epoch 27, batch 11650, loss[loss=0.1691, simple_loss=0.2389, pruned_loss=0.04967, over 13833.00 frames. utt_duration=803.3 frames, utt_pad_proportion=0.06489, over 69.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3453, pruned_loss=0.09924, over 2781198.11 frames. utt_duration=250.3 frames, utt_pad_proportion=0.06983, over 44716.30 utterances.], batch size: 69, lr: 1.73e-04
+2022-09-19 12:52:40,642 INFO [train.py:885] (0/2) Epoch 27, batch 11700, loss[loss=0.249, simple_loss=0.3274, pruned_loss=0.08528, over 14259.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04526, over 141.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3454, pruned_loss=0.09925, over 2784509.68 frames. utt_duration=253.7 frames, utt_pad_proportion=0.06931, over 44157.41 utterances.], batch size: 141, lr: 1.73e-04
+2022-09-19 12:53:10,676 INFO [train.py:885] (0/2) Epoch 27, batch 11750, loss[loss=0.3223, simple_loss=0.4288, pruned_loss=0.1079, over 13583.00 frames. utt_duration=98.43 frames, utt_pad_proportion=0.08007, over 560.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3435, pruned_loss=0.09777, over 2785097.52 frames. utt_duration=257.2 frames, utt_pad_proportion=0.06849, over 43555.48 utterances.], batch size: 560, lr: 1.73e-04
+2022-09-19 12:53:39,590 INFO [train.py:885] (0/2) Epoch 27, batch 11800, loss[loss=0.2261, simple_loss=0.295, pruned_loss=0.07858, over 13877.00 frames. utt_duration=703.9 frames, utt_pad_proportion=0.06773, over 79.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3421, pruned_loss=0.09728, over 2785713.01 frames. utt_duration=260.5 frames, utt_pad_proportion=0.06737, over 43012.67 utterances.], batch size: 79, lr: 1.73e-04
+2022-09-19 12:54:09,391 INFO [train.py:885] (0/2) Epoch 27, batch 11850, loss[loss=0.2079, simple_loss=0.2896, pruned_loss=0.06304, over 14178.00 frames. utt_duration=638.6 frames, utt_pad_proportion=0.04824, over 89.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3416, pruned_loss=0.0967, over 2780749.58 frames. utt_duration=258.1 frames, utt_pad_proportion=0.07004, over 43342.99 utterances.], batch size: 89, lr: 1.73e-04
+2022-09-19 12:54:28,038 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-340000.pt
+2022-09-19 12:54:39,538 INFO [train.py:885] (0/2) Epoch 27, batch 11900, loss[loss=0.1755, simple_loss=0.2501, pruned_loss=0.05049, over 12617.00 frames. utt_duration=2020 frames, utt_pad_proportion=0.1528, over 25.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3426, pruned_loss=0.09745, over 2778123.97 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07096, over 44147.16 utterances.], batch size: 25, lr: 1.72e-04
+2022-09-19 12:55:08,872 INFO [train.py:885] (0/2) Epoch 27, batch 11950, loss[loss=0.2603, simple_loss=0.338, pruned_loss=0.09128, over 14331.00 frames. utt_duration=344.5 frames, utt_pad_proportion=0.04038, over 167.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3456, pruned_loss=0.0994, over 2783352.21 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07142, over 44548.36 utterances.], batch size: 167, lr: 1.72e-04
+2022-09-19 12:55:38,579 INFO [train.py:885] (0/2) Epoch 27, batch 12000, loss[loss=0.3104, simple_loss=0.3772, pruned_loss=0.1218, over 14285.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03985, over 225.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3462, pruned_loss=0.09986, over 2781117.97 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07199, over 45106.12 utterances.], batch size: 225, lr: 1.72e-04
+2022-09-19 12:55:38,586 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 12:55:45,200 INFO [train.py:914] (0/2) Epoch 27, validation: loss=0.1967, simple_loss=0.2772, pruned_loss=0.05808, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 12:56:13,592 INFO [train.py:885] (0/2) Epoch 27, batch 12050, loss[loss=0.1554, simple_loss=0.2402, pruned_loss=0.03532, over 13519.00 frames. utt_duration=1320 frames, utt_pad_proportion=0.07809, over 41.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3434, pruned_loss=0.09843, over 2783837.97 frames. utt_duration=254.5 frames, utt_pad_proportion=0.07065, over 44010.71 utterances.], batch size: 41, lr: 1.72e-04
+2022-09-19 12:56:44,067 INFO [train.py:885] (0/2) Epoch 27, batch 12100, loss[loss=0.3492, simple_loss=0.4026, pruned_loss=0.1479, over 14327.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03842, over 283.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3446, pruned_loss=0.09923, over 2781376.63 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07181, over 45055.25 utterances.], batch size: 283, lr: 1.72e-04
+2022-09-19 12:57:12,593 INFO [train.py:885] (0/2) Epoch 27, batch 12150, loss[loss=0.6475, simple_loss=0.7036, pruned_loss=0.2957, over 12528.00 frames. utt_duration=63.41 frames, utt_pad_proportion=0.1431, over 810.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3448, pruned_loss=0.09894, over 2785752.60 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07111, over 44391.21 utterances.], batch size: 810, lr: 1.72e-04
+2022-09-19 12:57:43,091 INFO [train.py:885] (0/2) Epoch 27, batch 12200, loss[loss=0.2053, simple_loss=0.2759, pruned_loss=0.06739, over 14022.00 frames. utt_duration=711.5 frames, utt_pad_proportion=0.05887, over 79.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3468, pruned_loss=0.1001, over 2784064.72 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07239, over 45301.52 utterances.], batch size: 79, lr: 1.72e-04
+2022-09-19 12:58:12,727 INFO [train.py:885] (0/2) Epoch 27, batch 12250, loss[loss=0.2439, simple_loss=0.3191, pruned_loss=0.08436, over 14317.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.03689, over 130.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3467, pruned_loss=0.1001, over 2783414.67 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07227, over 45443.47 utterances.], batch size: 130, lr: 1.72e-04
+2022-09-19 12:58:42,174 INFO [train.py:885] (0/2) Epoch 27, batch 12300, loss[loss=0.2006, simple_loss=0.2717, pruned_loss=0.06475, over 14158.00 frames. utt_duration=520.8 frames, utt_pad_proportion=0.04622, over 109.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3436, pruned_loss=0.09881, over 2787186.84 frames. utt_duration=255.1 frames, utt_pad_proportion=0.07011, over 43954.22 utterances.], batch size: 109, lr: 1.72e-04
+2022-09-19 12:59:12,230 INFO [train.py:885] (0/2) Epoch 27, batch 12350, loss[loss=0.2429, simple_loss=0.3268, pruned_loss=0.07951, over 14329.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03953, over 167.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3438, pruned_loss=0.09818, over 2785940.31 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07033, over 44767.28 utterances.], batch size: 167, lr: 1.72e-04
+2022-09-19 12:59:41,439 INFO [train.py:885] (0/2) Epoch 27, batch 12400, loss[loss=0.1872, simple_loss=0.2507, pruned_loss=0.06188, over 13600.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.08519, over 50.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3453, pruned_loss=0.09922, over 2783532.20 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07213, over 45328.78 utterances.], batch size: 50, lr: 1.72e-04
+2022-09-19 13:00:11,366 INFO [train.py:885] (0/2) Epoch 27, batch 12450, loss[loss=0.2927, simple_loss=0.3642, pruned_loss=0.1105, over 14305.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.0385, over 180.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3456, pruned_loss=0.09932, over 2786277.03 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07118, over 45167.57 utterances.], batch size: 180, lr: 1.72e-04
+2022-09-19 13:00:40,705 INFO [train.py:885] (0/2) Epoch 27, batch 12500, loss[loss=0.1568, simple_loss=0.2253, pruned_loss=0.04417, over 13736.00 frames. utt_duration=1100 frames, utt_pad_proportion=0.06981, over 50.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3442, pruned_loss=0.09855, over 2787194.92 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07125, over 44690.23 utterances.], batch size: 50, lr: 1.72e-04
+2022-09-19 13:01:10,714 INFO [train.py:885] (0/2) Epoch 27, batch 12550, loss[loss=0.6184, simple_loss=0.6739, pruned_loss=0.2815, over 12540.00 frames. utt_duration=63.42 frames, utt_pad_proportion=0.143, over 810.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3425, pruned_loss=0.09772, over 2788464.64 frames. utt_duration=254.4 frames, utt_pad_proportion=0.07039, over 44099.93 utterances.], batch size: 810, lr: 1.72e-04
+2022-09-19 13:01:38,372 INFO [train.py:885] (0/2) Epoch 27, batch 12600, loss[loss=0.3044, simple_loss=0.3942, pruned_loss=0.1073, over 13831.00 frames. utt_duration=136.1 frames, utt_pad_proportion=0.06774, over 411.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3429, pruned_loss=0.09768, over 2786530.18 frames. utt_duration=253 frames, utt_pad_proportion=0.07014, over 44312.82 utterances.], batch size: 411, lr: 1.72e-04
+2022-09-19 13:01:49,185 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-27.pt
+2022-09-19 13:01:57,026 INFO [train.py:885] (0/2) Epoch 28, batch 0, loss[loss=0.2198, simple_loss=0.294, pruned_loss=0.07283, over 14301.00 frames. utt_duration=521.6 frames, utt_pad_proportion=0.04295, over 110.00 utterances.], tot_loss[loss=0.2198, simple_loss=0.294, pruned_loss=0.07283, over 14301.00 frames. utt_duration=521.6 frames, utt_pad_proportion=0.04295, over 110.00 utterances.], batch size: 110, lr: 1.69e-04
+2022-09-19 13:02:27,138 INFO [train.py:885] (0/2) Epoch 28, batch 50, loss[loss=0.1441, simple_loss=0.1979, pruned_loss=0.04514, over 13387.00 frames. utt_duration=1624 frames, utt_pad_proportion=0.1013, over 33.00 utterances.], tot_loss[loss=0.2589, simple_loss=0.333, pruned_loss=0.09237, over 624747.11 frames. utt_duration=257.2 frames, utt_pad_proportion=0.07749, over 9773.08 utterances.], batch size: 33, lr: 1.69e-04
+2022-09-19 13:02:56,107 INFO [train.py:885] (0/2) Epoch 28, batch 100, loss[loss=0.1752, simple_loss=0.2391, pruned_loss=0.05564, over 13861.00 frames. utt_duration=1110 frames, utt_pad_proportion=0.06786, over 50.00 utterances.], tot_loss[loss=0.2591, simple_loss=0.3332, pruned_loss=0.09252, over 1102629.98 frames. utt_duration=264.1 frames, utt_pad_proportion=0.07414, over 16797.93 utterances.], batch size: 50, lr: 1.69e-04
+2022-09-19 13:03:26,208 INFO [train.py:885] (0/2) Epoch 28, batch 150, loss[loss=0.2939, simple_loss=0.3661, pruned_loss=0.1108, over 14358.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03547, over 210.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3425, pruned_loss=0.09529, over 1473580.22 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07271, over 24783.27 utterances.], batch size: 210, lr: 1.69e-04
+2022-09-19 13:03:55,589 INFO [train.py:885] (0/2) Epoch 28, batch 200, loss[loss=0.3058, simple_loss=0.3741, pruned_loss=0.1188, over 14378.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.03162, over 244.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3477, pruned_loss=0.09897, over 1761967.97 frames. utt_duration=230.9 frames, utt_pad_proportion=0.07437, over 30719.14 utterances.], batch size: 244, lr: 1.69e-04
+2022-09-19 13:04:24,938 INFO [train.py:885] (0/2) Epoch 28, batch 250, loss[loss=0.3231, simple_loss=0.415, pruned_loss=0.1156, over 13707.00 frames. utt_duration=116.5 frames, utt_pad_proportion=0.07564, over 477.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3469, pruned_loss=0.09938, over 1989022.44 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07382, over 33520.22 utterances.], batch size: 477, lr: 1.69e-04
+2022-09-19 13:04:54,823 INFO [train.py:885] (0/2) Epoch 28, batch 300, loss[loss=0.2222, simple_loss=0.3032, pruned_loss=0.07058, over 14193.00 frames. utt_duration=522.3 frames, utt_pad_proportion=0.04333, over 109.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3498, pruned_loss=0.1008, over 2170278.96 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07131, over 36659.12 utterances.], batch size: 109, lr: 1.69e-04
+2022-09-19 13:05:23,814 INFO [train.py:885] (0/2) Epoch 28, batch 350, loss[loss=0.2932, simple_loss=0.3688, pruned_loss=0.1088, over 14216.00 frames. utt_duration=254.3 frames, utt_pad_proportion=0.04045, over 225.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.348, pruned_loss=0.09934, over 2308383.56 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07137, over 38838.89 utterances.], batch size: 225, lr: 1.69e-04
+2022-09-19 13:05:53,441 INFO [train.py:885] (0/2) Epoch 28, batch 400, loss[loss=0.2777, simple_loss=0.3447, pruned_loss=0.1053, over 14267.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.04444, over 141.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3453, pruned_loss=0.09853, over 2410828.08 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07141, over 39288.76 utterances.], batch size: 141, lr: 1.69e-04
+2022-09-19 13:06:23,063 INFO [train.py:885] (0/2) Epoch 28, batch 450, loss[loss=0.4096, simple_loss=0.4511, pruned_loss=0.1841, over 14310.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03945, over 283.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3479, pruned_loss=0.09964, over 2490146.33 frames. utt_duration=238 frames, utt_pad_proportion=0.07419, over 42110.02 utterances.], batch size: 283, lr: 1.69e-04
+2022-09-19 13:06:52,834 INFO [train.py:885] (0/2) Epoch 28, batch 500, loss[loss=0.347, simple_loss=0.4104, pruned_loss=0.1419, over 14203.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04388, over 306.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.348, pruned_loss=0.09871, over 2552106.34 frames. utt_duration=233.5 frames, utt_pad_proportion=0.07468, over 44003.53 utterances.], batch size: 306, lr: 1.69e-04
+2022-09-19 13:07:21,720 INFO [train.py:885] (0/2) Epoch 28, batch 550, loss[loss=0.2836, simple_loss=0.384, pruned_loss=0.09161, over 13764.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07219, over 411.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3462, pruned_loss=0.09799, over 2607240.91 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07119, over 43877.60 utterances.], batch size: 411, lr: 1.69e-04
+2022-09-19 13:07:50,744 INFO [train.py:885] (0/2) Epoch 28, batch 600, loss[loss=0.2667, simple_loss=0.3472, pruned_loss=0.09306, over 14333.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.0374, over 195.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3469, pruned_loss=0.09849, over 2639775.51 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07406, over 44328.86 utterances.], batch size: 195, lr: 1.69e-04
+2022-09-19 13:08:20,688 INFO [train.py:885] (0/2) Epoch 28, batch 650, loss[loss=0.1116, simple_loss=0.1648, pruned_loss=0.02917, over 12902.00 frames. utt_duration=1565 frames, utt_pad_proportion=0.1265, over 33.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3446, pruned_loss=0.09715, over 2668961.29 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07343, over 44848.64 utterances.], batch size: 33, lr: 1.69e-04
+2022-09-19 13:08:50,106 INFO [train.py:885] (0/2) Epoch 28, batch 700, loss[loss=0.236, simple_loss=0.3114, pruned_loss=0.08032, over 14304.00 frames. utt_duration=521.5 frames, utt_pad_proportion=0.0432, over 110.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.341, pruned_loss=0.09527, over 2700933.71 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07016, over 43605.47 utterances.], batch size: 110, lr: 1.69e-04
+2022-09-19 13:09:19,311 INFO [train.py:885] (0/2) Epoch 28, batch 750, loss[loss=0.2771, simple_loss=0.3523, pruned_loss=0.101, over 14268.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04109, over 225.00 utterances.], tot_loss[loss=0.2673, simple_loss=0.3419, pruned_loss=0.09632, over 2716028.32 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07232, over 43974.22 utterances.], batch size: 225, lr: 1.69e-04
+2022-09-19 13:09:48,877 INFO [train.py:885] (0/2) Epoch 28, batch 800, loss[loss=0.246, simple_loss=0.3231, pruned_loss=0.08448, over 14234.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.04649, over 141.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3411, pruned_loss=0.0965, over 2724907.16 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07376, over 43797.18 utterances.], batch size: 141, lr: 1.69e-04
+2022-09-19 13:10:18,696 INFO [train.py:885] (0/2) Epoch 28, batch 850, loss[loss=0.328, simple_loss=0.3887, pruned_loss=0.1337, over 14335.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03993, over 167.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3458, pruned_loss=0.0988, over 2734436.10 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07503, over 45642.56 utterances.], batch size: 167, lr: 1.69e-04
+2022-09-19 13:10:48,500 INFO [train.py:885] (0/2) Epoch 28, batch 900, loss[loss=0.5398, simple_loss=0.5993, pruned_loss=0.2401, over 13173.00 frames. utt_duration=82.19 frames, utt_pad_proportion=0.1066, over 653.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3472, pruned_loss=0.0997, over 2746850.64 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07373, over 45783.16 utterances.], batch size: 653, lr: 1.69e-04
+2022-09-19 13:11:17,623 INFO [train.py:885] (0/2) Epoch 28, batch 950, loss[loss=0.3716, simple_loss=0.42, pruned_loss=0.1616, over 14342.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03744, over 283.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3505, pruned_loss=0.1014, over 2757095.02 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07315, over 47206.39 utterances.], batch size: 283, lr: 1.69e-04
+2022-09-19 13:11:47,022 INFO [train.py:885] (0/2) Epoch 28, batch 1000, loss[loss=0.2585, simple_loss=0.341, pruned_loss=0.08798, over 14247.00 frames. utt_duration=255 frames, utt_pad_proportion=0.0415, over 225.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3492, pruned_loss=0.1009, over 2759370.89 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07322, over 46621.19 utterances.], batch size: 225, lr: 1.69e-04
+2022-09-19 13:12:16,295 INFO [train.py:885] (0/2) Epoch 28, batch 1050, loss[loss=0.2516, simple_loss=0.3233, pruned_loss=0.08999, over 14253.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04527, over 141.00 utterances.], tot_loss[loss=0.273, simple_loss=0.347, pruned_loss=0.09954, over 2761593.95 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07377, over 46340.88 utterances.], batch size: 141, lr: 1.69e-04
+2022-09-19 13:12:45,901 INFO [train.py:885] (0/2) Epoch 28, batch 1100, loss[loss=0.222, simple_loss=0.3037, pruned_loss=0.07019, over 14365.00 frames. utt_duration=480.1 frames, utt_pad_proportion=0.03584, over 120.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3476, pruned_loss=0.1001, over 2765419.92 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07363, over 46678.28 utterances.], batch size: 120, lr: 1.69e-04
+2022-09-19 13:13:15,075 INFO [train.py:885] (0/2) Epoch 28, batch 1150, loss[loss=0.3362, simple_loss=0.4133, pruned_loss=0.1295, over 13987.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05655, over 365.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.346, pruned_loss=0.09893, over 2770277.96 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07199, over 46101.08 utterances.], batch size: 365, lr: 1.69e-04
+2022-09-19 13:13:44,975 INFO [train.py:885] (0/2) Epoch 28, batch 1200, loss[loss=0.2089, simple_loss=0.2861, pruned_loss=0.06587, over 14155.00 frames. utt_duration=637.8 frames, utt_pad_proportion=0.04946, over 89.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3461, pruned_loss=0.0986, over 2771395.89 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07121, over 46431.49 utterances.], batch size: 89, lr: 1.69e-04
+2022-09-19 13:14:13,971 INFO [train.py:885] (0/2) Epoch 28, batch 1250, loss[loss=0.2654, simple_loss=0.3431, pruned_loss=0.09382, over 14299.00 frames. utt_duration=373 frames, utt_pad_proportion=0.03874, over 154.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3452, pruned_loss=0.09851, over 2774100.75 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07086, over 45409.74 utterances.], batch size: 154, lr: 1.69e-04
+2022-09-19 13:14:43,743 INFO [train.py:885] (0/2) Epoch 28, batch 1300, loss[loss=0.2633, simple_loss=0.3537, pruned_loss=0.08644, over 14326.00 frames. utt_duration=255 frames, utt_pad_proportion=0.03764, over 226.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3433, pruned_loss=0.09754, over 2773162.86 frames. utt_duration=247.2 frames, utt_pad_proportion=0.0726, over 45138.93 utterances.], batch size: 226, lr: 1.69e-04
+2022-09-19 13:15:13,435 INFO [train.py:885] (0/2) Epoch 28, batch 1350, loss[loss=0.2999, simple_loss=0.3729, pruned_loss=0.1135, over 14384.00 frames. utt_duration=275.3 frames, utt_pad_proportion=0.03395, over 210.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3449, pruned_loss=0.09761, over 2774831.59 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07158, over 46382.73 utterances.], batch size: 210, lr: 1.69e-04
+2022-09-19 13:15:42,797 INFO [train.py:885] (0/2) Epoch 28, batch 1400, loss[loss=0.2792, simple_loss=0.3485, pruned_loss=0.105, over 14391.00 frames. utt_duration=346.1 frames, utt_pad_proportion=0.03599, over 167.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3464, pruned_loss=0.09819, over 2780130.80 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07076, over 46885.70 utterances.], batch size: 167, lr: 1.69e-04
+2022-09-19 13:16:12,731 INFO [train.py:885] (0/2) Epoch 28, batch 1450, loss[loss=0.5378, simple_loss=0.6041, pruned_loss=0.2358, over 12419.00 frames. utt_duration=62.9 frames, utt_pad_proportion=0.1501, over 810.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3455, pruned_loss=0.09816, over 2781813.35 frames. utt_duration=241.7 frames, utt_pad_proportion=0.06981, over 46320.59 utterances.], batch size: 810, lr: 1.69e-04
+2022-09-19 13:16:41,991 INFO [train.py:885] (0/2) Epoch 28, batch 1500, loss[loss=0.1773, simple_loss=0.2535, pruned_loss=0.05056, over 13580.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08125, over 50.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3463, pruned_loss=0.0986, over 2783887.83 frames. utt_duration=240.3 frames, utt_pad_proportion=0.06953, over 46621.98 utterances.], batch size: 50, lr: 1.69e-04
+2022-09-19 13:17:11,542 INFO [train.py:885] (0/2) Epoch 28, batch 1550, loss[loss=0.185, simple_loss=0.2554, pruned_loss=0.05729, over 13975.00 frames. utt_duration=708.8 frames, utt_pad_proportion=0.06113, over 79.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3465, pruned_loss=0.09924, over 2785133.78 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07066, over 46194.50 utterances.], batch size: 79, lr: 1.69e-04
+2022-09-19 13:17:40,725 INFO [train.py:885] (0/2) Epoch 28, batch 1600, loss[loss=0.2565, simple_loss=0.3394, pruned_loss=0.08678, over 14381.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.03147, over 244.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3478, pruned_loss=0.09974, over 2784630.46 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07098, over 47326.35 utterances.], batch size: 244, lr: 1.69e-04
+2022-09-19 13:18:10,442 INFO [train.py:885] (0/2) Epoch 28, batch 1650, loss[loss=0.1715, simple_loss=0.2527, pruned_loss=0.04512, over 14215.00 frames. utt_duration=640.5 frames, utt_pad_proportion=0.04551, over 89.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3475, pruned_loss=0.1001, over 2779285.15 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07189, over 46941.10 utterances.], batch size: 89, lr: 1.69e-04
+2022-09-19 13:18:39,820 INFO [train.py:885] (0/2) Epoch 28, batch 1700, loss[loss=0.3503, simple_loss=0.4031, pruned_loss=0.1487, over 14215.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04424, over 335.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3495, pruned_loss=0.102, over 2778093.01 frames. utt_duration=236.1 frames, utt_pad_proportion=0.0718, over 47367.59 utterances.], batch size: 335, lr: 1.69e-04
+2022-09-19 13:19:09,446 INFO [train.py:885] (0/2) Epoch 28, batch 1750, loss[loss=0.2636, simple_loss=0.3402, pruned_loss=0.09354, over 14309.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.04016, over 154.00 utterances.], tot_loss[loss=0.278, simple_loss=0.3508, pruned_loss=0.1026, over 2780507.39 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07119, over 47006.51 utterances.], batch size: 154, lr: 1.69e-04
+2022-09-19 13:19:38,820 INFO [train.py:885] (0/2) Epoch 28, batch 1800, loss[loss=0.1588, simple_loss=0.2166, pruned_loss=0.05049, over 13185.00 frames. utt_duration=1600 frames, utt_pad_proportion=0.1053, over 33.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.35, pruned_loss=0.1017, over 2777846.85 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07118, over 46871.04 utterances.], batch size: 33, lr: 1.69e-04
+2022-09-19 13:20:07,550 INFO [train.py:885] (0/2) Epoch 28, batch 1850, loss[loss=0.2496, simple_loss=0.3348, pruned_loss=0.08217, over 14311.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.03874, over 226.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3446, pruned_loss=0.09911, over 2780871.53 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06953, over 44648.37 utterances.], batch size: 226, lr: 1.69e-04
+2022-09-19 13:20:37,032 INFO [train.py:885] (0/2) Epoch 28, batch 1900, loss[loss=0.184, simple_loss=0.263, pruned_loss=0.05256, over 14217.00 frames. utt_duration=640.5 frames, utt_pad_proportion=0.0469, over 89.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3429, pruned_loss=0.09859, over 2784672.96 frames. utt_duration=255.7 frames, utt_pad_proportion=0.06807, over 43806.75 utterances.], batch size: 89, lr: 1.69e-04
+2022-09-19 13:21:06,769 INFO [train.py:885] (0/2) Epoch 28, batch 1950, loss[loss=0.1656, simple_loss=0.2485, pruned_loss=0.04136, over 12972.00 frames. utt_duration=1574 frames, utt_pad_proportion=0.1266, over 33.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3437, pruned_loss=0.09959, over 2786700.84 frames. utt_duration=259.8 frames, utt_pad_proportion=0.06659, over 43145.25 utterances.], batch size: 33, lr: 1.69e-04
+2022-09-19 13:21:36,511 INFO [train.py:885] (0/2) Epoch 28, batch 2000, loss[loss=0.3419, simple_loss=0.4023, pruned_loss=0.1408, over 14346.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03632, over 195.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3451, pruned_loss=0.1003, over 2785504.42 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06753, over 43957.18 utterances.], batch size: 195, lr: 1.69e-04
+2022-09-19 13:22:06,091 INFO [train.py:885] (0/2) Epoch 28, batch 2050, loss[loss=0.164, simple_loss=0.2353, pruned_loss=0.04638, over 13791.00 frames. utt_duration=921 frames, utt_pad_proportion=0.07152, over 60.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3431, pruned_loss=0.09937, over 2787515.27 frames. utt_duration=260.5 frames, utt_pad_proportion=0.06662, over 43044.83 utterances.], batch size: 60, lr: 1.69e-04
+2022-09-19 13:22:35,828 INFO [train.py:885] (0/2) Epoch 28, batch 2100, loss[loss=0.2254, simple_loss=0.2698, pruned_loss=0.09056, over 13331.00 frames. utt_duration=1617 frames, utt_pad_proportion=0.1024, over 33.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3439, pruned_loss=0.09902, over 2785352.85 frames. utt_duration=255.4 frames, utt_pad_proportion=0.06844, over 43870.62 utterances.], batch size: 33, lr: 1.69e-04
+2022-09-19 13:23:05,118 INFO [train.py:885] (0/2) Epoch 28, batch 2150, loss[loss=0.3054, simple_loss=0.3894, pruned_loss=0.1107, over 13988.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05685, over 365.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3459, pruned_loss=0.09968, over 2787269.04 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06772, over 44823.18 utterances.], batch size: 365, lr: 1.69e-04
+2022-09-19 13:23:34,507 INFO [train.py:885] (0/2) Epoch 28, batch 2200, loss[loss=0.2972, simple_loss=0.396, pruned_loss=0.09914, over 13796.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06981, over 411.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3433, pruned_loss=0.09821, over 2783659.54 frames. utt_duration=253.7 frames, utt_pad_proportion=0.0683, over 44143.16 utterances.], batch size: 411, lr: 1.69e-04
+2022-09-19 13:24:03,898 INFO [train.py:885] (0/2) Epoch 28, batch 2250, loss[loss=0.2782, simple_loss=0.3526, pruned_loss=0.1019, over 14301.00 frames. utt_duration=254.5 frames, utt_pad_proportion=0.03956, over 226.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3446, pruned_loss=0.09915, over 2779297.90 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07058, over 44895.83 utterances.], batch size: 226, lr: 1.69e-04
+2022-09-19 13:24:33,335 INFO [train.py:885] (0/2) Epoch 28, batch 2300, loss[loss=0.2712, simple_loss=0.3413, pruned_loss=0.1006, over 14307.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.03987, over 130.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3443, pruned_loss=0.09873, over 2781228.31 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07022, over 44648.31 utterances.], batch size: 130, lr: 1.69e-04
+2022-09-19 13:25:11,795 INFO [train.py:885] (0/2) Epoch 28, batch 2350, loss[loss=0.194, simple_loss=0.2515, pruned_loss=0.06825, over 13444.00 frames. utt_duration=1313 frames, utt_pad_proportion=0.08227, over 41.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3434, pruned_loss=0.0985, over 2785589.39 frames. utt_duration=256.2 frames, utt_pad_proportion=0.06821, over 43744.17 utterances.], batch size: 41, lr: 1.69e-04
+2022-09-19 13:25:41,175 INFO [train.py:885] (0/2) Epoch 28, batch 2400, loss[loss=0.2123, simple_loss=0.2898, pruned_loss=0.06736, over 14076.00 frames. utt_duration=575.9 frames, utt_pad_proportion=0.05597, over 98.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.3405, pruned_loss=0.09697, over 2781476.10 frames. utt_duration=260.1 frames, utt_pad_proportion=0.06883, over 43018.26 utterances.], batch size: 98, lr: 1.69e-04
+2022-09-19 13:26:10,162 INFO [train.py:885] (0/2) Epoch 28, batch 2450, loss[loss=0.1833, simple_loss=0.2671, pruned_loss=0.04977, over 14022.00 frames. utt_duration=803 frames, utt_pad_proportion=0.06197, over 70.00 utterances.], tot_loss[loss=0.2673, simple_loss=0.3413, pruned_loss=0.09668, over 2781568.77 frames. utt_duration=256.7 frames, utt_pad_proportion=0.06801, over 43597.52 utterances.], batch size: 70, lr: 1.69e-04
+2022-09-19 13:26:39,869 INFO [train.py:885] (0/2) Epoch 28, batch 2500, loss[loss=0.4115, simple_loss=0.4916, pruned_loss=0.1657, over 13633.00 frames. utt_duration=98.76 frames, utt_pad_proportion=0.07705, over 560.00 utterances.], tot_loss[loss=0.267, simple_loss=0.341, pruned_loss=0.09654, over 2781476.05 frames. utt_duration=254.7 frames, utt_pad_proportion=0.06827, over 43940.48 utterances.], batch size: 560, lr: 1.69e-04
+2022-09-19 13:27:09,385 INFO [train.py:885] (0/2) Epoch 28, batch 2550, loss[loss=0.1881, simple_loss=0.2715, pruned_loss=0.05239, over 13180.00 frames. utt_duration=1287 frames, utt_pad_proportion=0.1013, over 41.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3427, pruned_loss=0.09713, over 2784097.08 frames. utt_duration=254.1 frames, utt_pad_proportion=0.06755, over 44079.83 utterances.], batch size: 41, lr: 1.69e-04
+2022-09-19 13:27:38,619 INFO [train.py:885] (0/2) Epoch 28, batch 2600, loss[loss=0.3429, simple_loss=0.403, pruned_loss=0.1414, over 14289.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04095, over 262.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3436, pruned_loss=0.09823, over 2782481.66 frames. utt_duration=253.5 frames, utt_pad_proportion=0.06952, over 44160.12 utterances.], batch size: 262, lr: 1.69e-04
+2022-09-19 13:28:08,132 INFO [train.py:885] (0/2) Epoch 28, batch 2650, loss[loss=0.2178, simple_loss=0.2912, pruned_loss=0.07218, over 14038.00 frames. utt_duration=574.4 frames, utt_pad_proportion=0.05683, over 98.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.3407, pruned_loss=0.09708, over 2782203.42 frames. utt_duration=261.9 frames, utt_pad_proportion=0.06927, over 42740.06 utterances.], batch size: 98, lr: 1.69e-04
+2022-09-19 13:28:37,400 INFO [train.py:885] (0/2) Epoch 28, batch 2700, loss[loss=0.183, simple_loss=0.2528, pruned_loss=0.05664, over 12827.00 frames. utt_duration=1556 frames, utt_pad_proportion=0.1363, over 33.00 utterances.], tot_loss[loss=0.2662, simple_loss=0.3396, pruned_loss=0.09642, over 2783851.87 frames. utt_duration=265 frames, utt_pad_proportion=0.06691, over 42258.63 utterances.], batch size: 33, lr: 1.69e-04
+2022-09-19 13:29:06,866 INFO [train.py:885] (0/2) Epoch 28, batch 2750, loss[loss=0.2345, simple_loss=0.3232, pruned_loss=0.07287, over 14312.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.03804, over 154.00 utterances.], tot_loss[loss=0.265, simple_loss=0.3385, pruned_loss=0.09576, over 2780700.10 frames. utt_duration=265.2 frames, utt_pad_proportion=0.06743, over 42174.31 utterances.], batch size: 154, lr: 1.69e-04
+2022-09-19 13:29:37,031 INFO [train.py:885] (0/2) Epoch 28, batch 2800, loss[loss=0.2408, simple_loss=0.3141, pruned_loss=0.08378, over 14225.00 frames. utt_duration=523.4 frames, utt_pad_proportion=0.04147, over 109.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3446, pruned_loss=0.0986, over 2779633.47 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07146, over 44979.43 utterances.], batch size: 109, lr: 1.69e-04
+2022-09-19 13:30:06,768 INFO [train.py:885] (0/2) Epoch 28, batch 2850, loss[loss=0.259, simple_loss=0.3481, pruned_loss=0.08499, over 14349.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03416, over 244.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3429, pruned_loss=0.09782, over 2779603.42 frames. utt_duration=251.9 frames, utt_pad_proportion=0.06998, over 44394.94 utterances.], batch size: 244, lr: 1.69e-04
+2022-09-19 13:30:42,697 INFO [train.py:885] (0/2) Epoch 28, batch 2900, loss[loss=0.2575, simple_loss=0.3361, pruned_loss=0.08951, over 14361.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03586, over 210.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3416, pruned_loss=0.09733, over 2780908.67 frames. utt_duration=254.2 frames, utt_pad_proportion=0.07037, over 44015.80 utterances.], batch size: 210, lr: 1.69e-04
+2022-09-19 13:31:12,058 INFO [train.py:885] (0/2) Epoch 28, batch 2950, loss[loss=0.2669, simple_loss=0.3468, pruned_loss=0.09355, over 14305.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03947, over 283.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3432, pruned_loss=0.09794, over 2782880.85 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07002, over 44756.46 utterances.], batch size: 283, lr: 1.69e-04
+2022-09-19 13:31:42,107 INFO [train.py:885] (0/2) Epoch 28, batch 3000, loss[loss=0.3544, simple_loss=0.413, pruned_loss=0.1479, over 14268.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04132, over 335.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3428, pruned_loss=0.09819, over 2778244.58 frames. utt_duration=252.8 frames, utt_pad_proportion=0.07141, over 44224.26 utterances.], batch size: 335, lr: 1.69e-04
+2022-09-19 13:31:42,109 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 13:31:46,799 INFO [train.py:914] (0/2) Epoch 28, validation: loss=0.1904, simple_loss=0.2704, pruned_loss=0.05518, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 13:32:16,493 INFO [train.py:885] (0/2) Epoch 28, batch 3050, loss[loss=0.2833, simple_loss=0.3656, pruned_loss=0.1005, over 14250.00 frames. utt_duration=318 frames, utt_pad_proportion=0.04203, over 180.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3444, pruned_loss=0.09946, over 2780373.93 frames. utt_duration=252.7 frames, utt_pad_proportion=0.07153, over 44260.01 utterances.], batch size: 180, lr: 1.68e-04
+2022-09-19 13:32:45,540 INFO [train.py:885] (0/2) Epoch 28, batch 3100, loss[loss=0.3046, simple_loss=0.3758, pruned_loss=0.1167, over 14367.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03252, over 244.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3438, pruned_loss=0.09939, over 2782135.02 frames. utt_duration=253.8 frames, utt_pad_proportion=0.0722, over 44110.57 utterances.], batch size: 244, lr: 1.68e-04
+2022-09-19 13:33:15,279 INFO [train.py:885] (0/2) Epoch 28, batch 3150, loss[loss=0.2355, simple_loss=0.2929, pruned_loss=0.08903, over 14129.00 frames. utt_duration=578.2 frames, utt_pad_proportion=0.05057, over 98.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3451, pruned_loss=0.1002, over 2784963.40 frames. utt_duration=252.9 frames, utt_pad_proportion=0.07057, over 44303.95 utterances.], batch size: 98, lr: 1.68e-04
+2022-09-19 13:33:44,720 INFO [train.py:885] (0/2) Epoch 28, batch 3200, loss[loss=0.1873, simple_loss=0.2511, pruned_loss=0.06177, over 13118.00 frames. utt_duration=2019 frames, utt_pad_proportion=0.1072, over 26.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3414, pruned_loss=0.09806, over 2784626.57 frames. utt_duration=258.4 frames, utt_pad_proportion=0.06909, over 43358.76 utterances.], batch size: 26, lr: 1.68e-04
+2022-09-19 13:34:14,415 INFO [train.py:885] (0/2) Epoch 28, batch 3250, loss[loss=0.2149, simple_loss=0.2792, pruned_loss=0.07525, over 14139.00 frames. utt_duration=636.8 frames, utt_pad_proportion=0.05232, over 89.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3439, pruned_loss=0.09856, over 2784194.82 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07074, over 45325.57 utterances.], batch size: 89, lr: 1.68e-04
+2022-09-19 13:34:21,432 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-344000.pt
+2022-09-19 13:34:44,355 INFO [train.py:885] (0/2) Epoch 28, batch 3300, loss[loss=0.1694, simple_loss=0.2404, pruned_loss=0.04915, over 13564.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.08069, over 50.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3433, pruned_loss=0.09815, over 2783832.64 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07023, over 45204.27 utterances.], batch size: 50, lr: 1.68e-04
+2022-09-19 13:35:13,748 INFO [train.py:885] (0/2) Epoch 28, batch 3350, loss[loss=0.2578, simple_loss=0.335, pruned_loss=0.09033, over 14361.00 frames. utt_duration=296.1 frames, utt_pad_proportion=0.03565, over 195.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3474, pruned_loss=0.09969, over 2785996.34 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07133, over 46632.19 utterances.], batch size: 195, lr: 1.68e-04
+2022-09-19 13:35:43,118 INFO [train.py:885] (0/2) Epoch 28, batch 3400, loss[loss=0.3262, simple_loss=0.3751, pruned_loss=0.1387, over 14285.00 frames. utt_duration=477.7 frames, utt_pad_proportion=0.0407, over 120.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3474, pruned_loss=0.1002, over 2783498.45 frames. utt_duration=241 frames, utt_pad_proportion=0.0717, over 46490.27 utterances.], batch size: 120, lr: 1.68e-04
+2022-09-19 13:36:12,810 INFO [train.py:885] (0/2) Epoch 28, batch 3450, loss[loss=0.2438, simple_loss=0.3189, pruned_loss=0.08429, over 14275.00 frames. utt_duration=440.8 frames, utt_pad_proportion=0.03962, over 130.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3487, pruned_loss=0.1011, over 2781136.01 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07352, over 46859.59 utterances.], batch size: 130, lr: 1.68e-04
+2022-09-19 13:36:42,125 INFO [train.py:885] (0/2) Epoch 28, batch 3500, loss[loss=0.2945, simple_loss=0.3715, pruned_loss=0.1088, over 14364.00 frames. utt_duration=204.4 frames, utt_pad_proportion=0.03592, over 283.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3461, pruned_loss=0.09978, over 2778988.34 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07297, over 46166.80 utterances.], batch size: 283, lr: 1.68e-04
+2022-09-19 13:37:11,857 INFO [train.py:885] (0/2) Epoch 28, batch 3550, loss[loss=0.3044, simple_loss=0.395, pruned_loss=0.1069, over 13776.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07153, over 411.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3438, pruned_loss=0.0982, over 2775536.54 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07373, over 45188.34 utterances.], batch size: 411, lr: 1.68e-04
+2022-09-19 13:37:41,595 INFO [train.py:885] (0/2) Epoch 28, batch 3600, loss[loss=0.21, simple_loss=0.2891, pruned_loss=0.06548, over 14256.00 frames. utt_duration=476.5 frames, utt_pad_proportion=0.04311, over 120.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3421, pruned_loss=0.0971, over 2775222.26 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07386, over 45273.47 utterances.], batch size: 120, lr: 1.68e-04
+2022-09-19 13:38:11,252 INFO [train.py:885] (0/2) Epoch 28, batch 3650, loss[loss=0.3339, simple_loss=0.4228, pruned_loss=0.1225, over 13626.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08078, over 477.00 utterances.], tot_loss[loss=0.27, simple_loss=0.345, pruned_loss=0.09752, over 2774048.69 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07468, over 46882.14 utterances.], batch size: 477, lr: 1.68e-04
+2022-09-19 13:38:40,204 INFO [train.py:885] (0/2) Epoch 28, batch 3700, loss[loss=0.2917, simple_loss=0.3547, pruned_loss=0.1144, over 14290.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.04285, over 141.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.342, pruned_loss=0.09623, over 2778426.82 frames. utt_duration=249 frames, utt_pad_proportion=0.07244, over 44900.49 utterances.], batch size: 141, lr: 1.68e-04
+2022-09-19 13:39:09,485 INFO [train.py:885] (0/2) Epoch 28, batch 3750, loss[loss=0.1824, simple_loss=0.2504, pruned_loss=0.05718, over 13467.00 frames. utt_duration=1284 frames, utt_pad_proportion=0.1001, over 42.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3431, pruned_loss=0.09703, over 2779495.78 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07268, over 45532.96 utterances.], batch size: 42, lr: 1.68e-04
+2022-09-19 13:39:39,111 INFO [train.py:885] (0/2) Epoch 28, batch 3800, loss[loss=0.2185, simple_loss=0.2718, pruned_loss=0.08262, over 13203.00 frames. utt_duration=1602 frames, utt_pad_proportion=0.1125, over 33.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3428, pruned_loss=0.09669, over 2775265.77 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07383, over 45982.65 utterances.], batch size: 33, lr: 1.68e-04
+2022-09-19 13:40:08,329 INFO [train.py:885] (0/2) Epoch 28, batch 3850, loss[loss=0.2085, simple_loss=0.2824, pruned_loss=0.06732, over 14056.00 frames. utt_duration=575.2 frames, utt_pad_proportion=0.05551, over 98.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.3423, pruned_loss=0.09665, over 2777152.82 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07294, over 45315.83 utterances.], batch size: 98, lr: 1.68e-04
+2022-09-19 13:40:37,867 INFO [train.py:885] (0/2) Epoch 28, batch 3900, loss[loss=0.2692, simple_loss=0.3458, pruned_loss=0.0963, over 14346.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03677, over 195.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3421, pruned_loss=0.09644, over 2782596.98 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07188, over 45086.05 utterances.], batch size: 195, lr: 1.68e-04
+2022-09-19 13:41:07,361 INFO [train.py:885] (0/2) Epoch 28, batch 3950, loss[loss=0.2832, simple_loss=0.3758, pruned_loss=0.0953, over 13969.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05773, over 365.00 utterances.], tot_loss[loss=0.2673, simple_loss=0.3417, pruned_loss=0.09642, over 2780336.77 frames. utt_duration=250 frames, utt_pad_proportion=0.07276, over 44746.10 utterances.], batch size: 365, lr: 1.68e-04
+2022-09-19 13:41:37,462 INFO [train.py:885] (0/2) Epoch 28, batch 4000, loss[loss=0.2577, simple_loss=0.3338, pruned_loss=0.09083, over 14234.00 frames. utt_duration=317.9 frames, utt_pad_proportion=0.04262, over 180.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.3429, pruned_loss=0.09633, over 2777505.43 frames. utt_duration=244 frames, utt_pad_proportion=0.07441, over 45807.33 utterances.], batch size: 180, lr: 1.68e-04
+2022-09-19 13:42:06,473 INFO [train.py:885] (0/2) Epoch 28, batch 4050, loss[loss=0.3041, simple_loss=0.4134, pruned_loss=0.09744, over 13622.00 frames. utt_duration=98.72 frames, utt_pad_proportion=0.0774, over 560.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.3421, pruned_loss=0.09618, over 2779612.95 frames. utt_duration=246.9 frames, utt_pad_proportion=0.0738, over 45310.43 utterances.], batch size: 560, lr: 1.68e-04
+2022-09-19 13:42:36,041 INFO [train.py:885] (0/2) Epoch 28, batch 4100, loss[loss=0.2016, simple_loss=0.2714, pruned_loss=0.06589, over 13167.00 frames. utt_duration=1598 frames, utt_pad_proportion=0.102, over 33.00 utterances.], tot_loss[loss=0.2654, simple_loss=0.3398, pruned_loss=0.09551, over 2781814.90 frames. utt_duration=255.4 frames, utt_pad_proportion=0.07193, over 43818.35 utterances.], batch size: 33, lr: 1.68e-04
+2022-09-19 13:43:04,882 INFO [train.py:885] (0/2) Epoch 28, batch 4150, loss[loss=0.162, simple_loss=0.2419, pruned_loss=0.04103, over 13650.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.08212, over 50.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3431, pruned_loss=0.097, over 2782020.68 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07216, over 45487.15 utterances.], batch size: 50, lr: 1.68e-04
+2022-09-19 13:43:34,378 INFO [train.py:885] (0/2) Epoch 28, batch 4200, loss[loss=0.1766, simple_loss=0.2491, pruned_loss=0.05204, over 13309.00 frames. utt_duration=1300 frames, utt_pad_proportion=0.09096, over 41.00 utterances.], tot_loss[loss=0.2673, simple_loss=0.3411, pruned_loss=0.09677, over 2776659.87 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07218, over 44123.01 utterances.], batch size: 41, lr: 1.68e-04
+2022-09-19 13:44:04,185 INFO [train.py:885] (0/2) Epoch 28, batch 4250, loss[loss=0.3595, simple_loss=0.4138, pruned_loss=0.1526, over 14226.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04332, over 306.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3454, pruned_loss=0.09885, over 2769452.08 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07582, over 46283.89 utterances.], batch size: 306, lr: 1.68e-04
+2022-09-19 13:44:33,487 INFO [train.py:885] (0/2) Epoch 28, batch 4300, loss[loss=0.2634, simple_loss=0.3402, pruned_loss=0.09329, over 14329.00 frames. utt_duration=319.8 frames, utt_pad_proportion=0.03678, over 180.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3436, pruned_loss=0.09815, over 2774188.28 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07395, over 45528.15 utterances.], batch size: 180, lr: 1.68e-04
+2022-09-19 13:45:02,897 INFO [train.py:885] (0/2) Epoch 28, batch 4350, loss[loss=0.3645, simple_loss=0.4215, pruned_loss=0.1537, over 14326.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.0381, over 283.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3459, pruned_loss=0.09846, over 2772849.07 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07437, over 47133.41 utterances.], batch size: 283, lr: 1.68e-04
+2022-09-19 13:45:32,730 INFO [train.py:885] (0/2) Epoch 28, batch 4400, loss[loss=0.2775, simple_loss=0.3571, pruned_loss=0.09896, over 14372.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03625, over 244.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3462, pruned_loss=0.09858, over 2779433.16 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07224, over 46765.66 utterances.], batch size: 244, lr: 1.68e-04
+2022-09-19 13:46:02,147 INFO [train.py:885] (0/2) Epoch 28, batch 4450, loss[loss=0.3125, simple_loss=0.3777, pruned_loss=0.1237, over 14362.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.0351, over 195.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3463, pruned_loss=0.09854, over 2779647.18 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07185, over 47299.23 utterances.], batch size: 195, lr: 1.68e-04
+2022-09-19 13:46:31,722 INFO [train.py:885] (0/2) Epoch 28, batch 4500, loss[loss=0.2738, simple_loss=0.3758, pruned_loss=0.08592, over 13716.00 frames. utt_duration=135 frames, utt_pad_proportion=0.07511, over 411.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3473, pruned_loss=0.09894, over 2777874.74 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07263, over 47900.91 utterances.], batch size: 411, lr: 1.68e-04
+2022-09-19 13:47:01,162 INFO [train.py:885] (0/2) Epoch 28, batch 4550, loss[loss=0.237, simple_loss=0.3218, pruned_loss=0.07616, over 14189.00 frames. utt_duration=404 frames, utt_pad_proportion=0.0495, over 141.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3449, pruned_loss=0.09743, over 2780885.13 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07017, over 46873.49 utterances.], batch size: 141, lr: 1.68e-04
+2022-09-19 13:47:31,262 INFO [train.py:885] (0/2) Epoch 28, batch 4600, loss[loss=0.3289, simple_loss=0.376, pruned_loss=0.1408, over 14254.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04484, over 141.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3482, pruned_loss=0.1, over 2777268.87 frames. utt_duration=233.5 frames, utt_pad_proportion=0.07241, over 47880.89 utterances.], batch size: 141, lr: 1.68e-04
+2022-09-19 13:47:59,307 INFO [train.py:885] (0/2) Epoch 28, batch 4650, loss[loss=0.1781, simple_loss=0.255, pruned_loss=0.05055, over 14173.00 frames. utt_duration=638.4 frames, utt_pad_proportion=0.04859, over 89.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3441, pruned_loss=0.09849, over 2779197.02 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07007, over 45749.45 utterances.], batch size: 89, lr: 1.68e-04
+2022-09-19 13:48:29,324 INFO [train.py:885] (0/2) Epoch 28, batch 4700, loss[loss=0.3193, simple_loss=0.4144, pruned_loss=0.1121, over 13658.00 frames. utt_duration=116 frames, utt_pad_proportion=0.0794, over 477.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3486, pruned_loss=0.1008, over 2778155.72 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07257, over 47133.29 utterances.], batch size: 477, lr: 1.68e-04
+2022-09-19 13:48:58,433 INFO [train.py:885] (0/2) Epoch 28, batch 4750, loss[loss=0.1479, simple_loss=0.2074, pruned_loss=0.04422, over 12859.00 frames. utt_duration=1560 frames, utt_pad_proportion=0.1376, over 33.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3458, pruned_loss=0.09921, over 2777540.67 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07298, over 45676.99 utterances.], batch size: 33, lr: 1.68e-04
+2022-09-19 13:49:27,908 INFO [train.py:885] (0/2) Epoch 28, batch 4800, loss[loss=0.319, simple_loss=0.3977, pruned_loss=0.1201, over 13995.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05613, over 365.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3425, pruned_loss=0.09732, over 2779740.58 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07038, over 44587.34 utterances.], batch size: 365, lr: 1.68e-04
+2022-09-19 13:49:57,393 INFO [train.py:885] (0/2) Epoch 28, batch 4850, loss[loss=0.2618, simple_loss=0.3376, pruned_loss=0.09298, over 14322.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.03704, over 154.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3445, pruned_loss=0.09852, over 2781853.19 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06999, over 44913.15 utterances.], batch size: 154, lr: 1.68e-04
+2022-09-19 13:50:26,856 INFO [train.py:885] (0/2) Epoch 28, batch 4900, loss[loss=0.19, simple_loss=0.268, pruned_loss=0.05596, over 14169.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.04517, over 109.00 utterances.], tot_loss[loss=0.2661, simple_loss=0.3401, pruned_loss=0.09602, over 2783980.17 frames. utt_duration=262 frames, utt_pad_proportion=0.06691, over 42736.73 utterances.], batch size: 109, lr: 1.68e-04
+2022-09-19 13:50:56,721 INFO [train.py:885] (0/2) Epoch 28, batch 4950, loss[loss=0.2738, simple_loss=0.3552, pruned_loss=0.09623, over 14312.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.04038, over 154.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3448, pruned_loss=0.09808, over 2780709.61 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06975, over 45178.57 utterances.], batch size: 154, lr: 1.68e-04
+2022-09-19 13:51:25,938 INFO [train.py:885] (0/2) Epoch 28, batch 5000, loss[loss=0.3389, simple_loss=0.4, pruned_loss=0.1389, over 14258.00 frames. utt_duration=188.1 frames, utt_pad_proportion=0.04042, over 306.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.345, pruned_loss=0.09843, over 2786403.74 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06688, over 44778.48 utterances.], batch size: 306, lr: 1.68e-04
+2022-09-19 13:51:55,903 INFO [train.py:885] (0/2) Epoch 28, batch 5050, loss[loss=0.2932, simple_loss=0.3901, pruned_loss=0.09811, over 13777.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07038, over 411.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3444, pruned_loss=0.09816, over 2782818.05 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06758, over 44702.30 utterances.], batch size: 411, lr: 1.68e-04
+2022-09-19 13:52:25,258 INFO [train.py:885] (0/2) Epoch 28, batch 5100, loss[loss=0.171, simple_loss=0.2297, pruned_loss=0.05612, over 13030.00 frames. utt_duration=2006 frames, utt_pad_proportion=0.1119, over 26.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3415, pruned_loss=0.09693, over 2781489.97 frames. utt_duration=251.9 frames, utt_pad_proportion=0.06869, over 44425.19 utterances.], batch size: 26, lr: 1.68e-04
+2022-09-19 13:52:54,942 INFO [train.py:885] (0/2) Epoch 28, batch 5150, loss[loss=0.2831, simple_loss=0.3817, pruned_loss=0.09226, over 13753.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07293, over 411.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3424, pruned_loss=0.09743, over 2783709.43 frames. utt_duration=251.6 frames, utt_pad_proportion=0.06805, over 44521.18 utterances.], batch size: 411, lr: 1.68e-04
+2022-09-19 13:53:24,624 INFO [train.py:885] (0/2) Epoch 28, batch 5200, loss[loss=0.4065, simple_loss=0.4472, pruned_loss=0.1829, over 14273.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03973, over 180.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3439, pruned_loss=0.09841, over 2779490.37 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06976, over 45233.63 utterances.], batch size: 180, lr: 1.68e-04
+2022-09-19 13:53:53,847 INFO [train.py:885] (0/2) Epoch 28, batch 5250, loss[loss=0.2804, simple_loss=0.3589, pruned_loss=0.101, over 14211.00 frames. utt_duration=254.2 frames, utt_pad_proportion=0.04433, over 225.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3422, pruned_loss=0.09737, over 2776390.05 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07152, over 44832.05 utterances.], batch size: 225, lr: 1.68e-04
+2022-09-19 13:54:23,396 INFO [train.py:885] (0/2) Epoch 28, batch 5300, loss[loss=0.2991, simple_loss=0.4072, pruned_loss=0.09554, over 13627.00 frames. utt_duration=98.73 frames, utt_pad_proportion=0.07729, over 560.00 utterances.], tot_loss[loss=0.2673, simple_loss=0.3411, pruned_loss=0.09679, over 2782193.52 frames. utt_duration=253.7 frames, utt_pad_proportion=0.06935, over 44130.33 utterances.], batch size: 560, lr: 1.68e-04
+2022-09-19 13:54:52,859 INFO [train.py:885] (0/2) Epoch 28, batch 5350, loss[loss=0.2298, simple_loss=0.2989, pruned_loss=0.08032, over 14326.00 frames. utt_duration=522.1 frames, utt_pad_proportion=0.04197, over 110.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.3411, pruned_loss=0.09663, over 2782455.38 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06945, over 44356.16 utterances.], batch size: 110, lr: 1.68e-04
+2022-09-19 13:55:22,384 INFO [train.py:885] (0/2) Epoch 28, batch 5400, loss[loss=0.3277, simple_loss=0.4214, pruned_loss=0.117, over 13627.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.081, over 477.00 utterances.], tot_loss[loss=0.2657, simple_loss=0.3397, pruned_loss=0.09586, over 2784003.03 frames. utt_duration=255.7 frames, utt_pad_proportion=0.06716, over 43801.98 utterances.], batch size: 477, lr: 1.68e-04
+2022-09-19 13:55:52,123 INFO [train.py:885] (0/2) Epoch 28, batch 5450, loss[loss=0.2873, simple_loss=0.3623, pruned_loss=0.1062, over 14281.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04015, over 225.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3428, pruned_loss=0.09782, over 2786012.46 frames. utt_duration=249.6 frames, utt_pad_proportion=0.06827, over 44909.18 utterances.], batch size: 225, lr: 1.68e-04
+2022-09-19 13:56:22,078 INFO [train.py:885] (0/2) Epoch 28, batch 5500, loss[loss=0.2857, simple_loss=0.361, pruned_loss=0.1052, over 14300.00 frames. utt_duration=255.7 frames, utt_pad_proportion=0.03876, over 225.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3462, pruned_loss=0.0995, over 2785516.35 frames. utt_duration=243.2 frames, utt_pad_proportion=0.06821, over 46099.60 utterances.], batch size: 225, lr: 1.68e-04
+2022-09-19 13:56:51,963 INFO [train.py:885] (0/2) Epoch 28, batch 5550, loss[loss=0.2121, simple_loss=0.2856, pruned_loss=0.06929, over 14182.00 frames. utt_duration=638.9 frames, utt_pad_proportion=0.04499, over 89.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3446, pruned_loss=0.09837, over 2785806.48 frames. utt_duration=244.5 frames, utt_pad_proportion=0.06838, over 45858.50 utterances.], batch size: 89, lr: 1.68e-04
+2022-09-19 13:57:21,243 INFO [train.py:885] (0/2) Epoch 28, batch 5600, loss[loss=0.1923, simple_loss=0.2703, pruned_loss=0.05713, over 14200.00 frames. utt_duration=639.7 frames, utt_pad_proportion=0.04804, over 89.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3422, pruned_loss=0.09657, over 2785213.16 frames. utt_duration=250.8 frames, utt_pad_proportion=0.06877, over 44691.06 utterances.], batch size: 89, lr: 1.68e-04
+2022-09-19 13:57:50,820 INFO [train.py:885] (0/2) Epoch 28, batch 5650, loss[loss=0.1811, simple_loss=0.258, pruned_loss=0.05213, over 13782.00 frames. utt_duration=920.2 frames, utt_pad_proportion=0.07612, over 60.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3431, pruned_loss=0.09745, over 2783556.50 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07008, over 44646.40 utterances.], batch size: 60, lr: 1.68e-04
+2022-09-19 13:58:20,246 INFO [train.py:885] (0/2) Epoch 28, batch 5700, loss[loss=0.2125, simple_loss=0.2762, pruned_loss=0.07441, over 14133.00 frames. utt_duration=636.5 frames, utt_pad_proportion=0.05139, over 89.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3422, pruned_loss=0.0968, over 2783238.52 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07047, over 44870.19 utterances.], batch size: 89, lr: 1.68e-04
+2022-09-19 13:58:49,866 INFO [train.py:885] (0/2) Epoch 28, batch 5750, loss[loss=0.1615, simple_loss=0.2259, pruned_loss=0.0486, over 13907.00 frames. utt_duration=928.5 frames, utt_pad_proportion=0.0649, over 60.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.3409, pruned_loss=0.09652, over 2785147.40 frames. utt_duration=255.5 frames, utt_pad_proportion=0.07017, over 43861.03 utterances.], batch size: 60, lr: 1.68e-04
+2022-09-19 13:59:19,257 INFO [train.py:885] (0/2) Epoch 28, batch 5800, loss[loss=0.3041, simple_loss=0.3498, pruned_loss=0.1292, over 14289.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.03903, over 130.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3441, pruned_loss=0.09817, over 2782918.73 frames. utt_duration=250 frames, utt_pad_proportion=0.07201, over 44789.74 utterances.], batch size: 130, lr: 1.68e-04
+2022-09-19 13:59:49,124 INFO [train.py:885] (0/2) Epoch 28, batch 5850, loss[loss=0.3236, simple_loss=0.3836, pruned_loss=0.1318, over 14326.00 frames. utt_duration=319.8 frames, utt_pad_proportion=0.0368, over 180.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3458, pruned_loss=0.09939, over 2781985.28 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07182, over 45200.83 utterances.], batch size: 180, lr: 1.68e-04
+2022-09-19 14:00:17,982 INFO [train.py:885] (0/2) Epoch 28, batch 5900, loss[loss=0.1455, simple_loss=0.2007, pruned_loss=0.04517, over 13083.00 frames. utt_duration=1587 frames, utt_pad_proportion=0.1132, over 33.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3442, pruned_loss=0.09849, over 2785440.02 frames. utt_duration=250.2 frames, utt_pad_proportion=0.0715, over 44799.26 utterances.], batch size: 33, lr: 1.68e-04
+2022-09-19 14:00:47,805 INFO [train.py:885] (0/2) Epoch 28, batch 5950, loss[loss=0.204, simple_loss=0.275, pruned_loss=0.06653, over 13939.00 frames. utt_duration=809.5 frames, utt_pad_proportion=0.0576, over 69.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3463, pruned_loss=0.09949, over 2786585.00 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07152, over 45800.15 utterances.], batch size: 69, lr: 1.68e-04
+2022-09-19 14:01:17,058 INFO [train.py:885] (0/2) Epoch 28, batch 6000, loss[loss=0.2805, simple_loss=0.348, pruned_loss=0.1065, over 14291.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03894, over 180.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3474, pruned_loss=0.1001, over 2789302.25 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07018, over 46210.08 utterances.], batch size: 180, lr: 1.68e-04
+2022-09-19 14:01:17,059 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 14:01:21,231 INFO [train.py:914] (0/2) Epoch 28, validation: loss=0.1905, simple_loss=0.2697, pruned_loss=0.05568, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 14:01:51,001 INFO [train.py:885] (0/2) Epoch 28, batch 6050, loss[loss=0.2237, simple_loss=0.2943, pruned_loss=0.07654, over 14204.00 frames. utt_duration=639.9 frames, utt_pad_proportion=0.04357, over 89.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.343, pruned_loss=0.09835, over 2788519.43 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06812, over 44185.09 utterances.], batch size: 89, lr: 1.68e-04
+2022-09-19 14:02:20,530 INFO [train.py:885] (0/2) Epoch 28, batch 6100, loss[loss=0.2786, simple_loss=0.3818, pruned_loss=0.0877, over 13732.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07413, over 411.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3402, pruned_loss=0.09638, over 2785662.58 frames. utt_duration=257.3 frames, utt_pad_proportion=0.06946, over 43560.60 utterances.], batch size: 411, lr: 1.68e-04
+2022-09-19 14:02:49,667 INFO [train.py:885] (0/2) Epoch 28, batch 6150, loss[loss=0.2073, simple_loss=0.287, pruned_loss=0.06378, over 14286.00 frames. utt_duration=477.9 frames, utt_pad_proportion=0.04033, over 120.00 utterances.], tot_loss[loss=0.2632, simple_loss=0.3376, pruned_loss=0.09442, over 2787134.63 frames. utt_duration=262 frames, utt_pad_proportion=0.0679, over 42797.86 utterances.], batch size: 120, lr: 1.68e-04
+2022-09-19 14:03:19,650 INFO [train.py:885] (0/2) Epoch 28, batch 6200, loss[loss=0.2745, simple_loss=0.341, pruned_loss=0.104, over 14224.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.04746, over 141.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3423, pruned_loss=0.09673, over 2780946.89 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07278, over 44651.45 utterances.], batch size: 141, lr: 1.68e-04
+2022-09-19 14:03:48,684 INFO [train.py:885] (0/2) Epoch 28, batch 6250, loss[loss=0.2127, simple_loss=0.2885, pruned_loss=0.06844, over 14168.00 frames. utt_duration=638.3 frames, utt_pad_proportion=0.04871, over 89.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3436, pruned_loss=0.09677, over 2782655.79 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07263, over 45170.42 utterances.], batch size: 89, lr: 1.68e-04
+2022-09-19 14:04:18,523 INFO [train.py:885] (0/2) Epoch 28, batch 6300, loss[loss=0.292, simple_loss=0.3994, pruned_loss=0.09232, over 13643.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08003, over 477.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3442, pruned_loss=0.09693, over 2785178.60 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07045, over 45535.37 utterances.], batch size: 477, lr: 1.68e-04
+2022-09-19 14:04:48,860 INFO [train.py:885] (0/2) Epoch 28, batch 6350, loss[loss=0.3274, simple_loss=0.424, pruned_loss=0.1154, over 13625.00 frames. utt_duration=98.74 frames, utt_pad_proportion=0.07717, over 560.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3455, pruned_loss=0.09795, over 2786936.68 frames. utt_duration=243.9 frames, utt_pad_proportion=0.06908, over 45992.72 utterances.], batch size: 560, lr: 1.68e-04
+2022-09-19 14:05:18,710 INFO [train.py:885] (0/2) Epoch 28, batch 6400, loss[loss=0.2554, simple_loss=0.3208, pruned_loss=0.09495, over 14266.00 frames. utt_duration=406 frames, utt_pad_proportion=0.04471, over 141.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3486, pruned_loss=0.0996, over 2784384.11 frames. utt_duration=235.9 frames, utt_pad_proportion=0.06981, over 47500.80 utterances.], batch size: 141, lr: 1.68e-04
+2022-09-19 14:05:48,603 INFO [train.py:885] (0/2) Epoch 28, batch 6450, loss[loss=0.1973, simple_loss=0.2586, pruned_loss=0.06802, over 13537.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08887, over 50.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3497, pruned_loss=0.1005, over 2782399.62 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07026, over 47683.82 utterances.], batch size: 50, lr: 1.68e-04
+2022-09-19 14:06:17,727 INFO [train.py:885] (0/2) Epoch 28, batch 6500, loss[loss=0.4008, simple_loss=0.4402, pruned_loss=0.1807, over 14327.00 frames. utt_duration=295.4 frames, utt_pad_proportion=0.03794, over 195.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3455, pruned_loss=0.09934, over 2782811.22 frames. utt_duration=244.9 frames, utt_pad_proportion=0.06972, over 45730.40 utterances.], batch size: 195, lr: 1.68e-04
+2022-09-19 14:06:47,053 INFO [train.py:885] (0/2) Epoch 28, batch 6550, loss[loss=0.2574, simple_loss=0.3305, pruned_loss=0.09215, over 14357.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.03813, over 167.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3436, pruned_loss=0.09896, over 2780881.72 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07064, over 44743.48 utterances.], batch size: 167, lr: 1.68e-04
+2022-09-19 14:07:16,543 INFO [train.py:885] (0/2) Epoch 28, batch 6600, loss[loss=0.3246, simple_loss=0.4094, pruned_loss=0.1199, over 13840.00 frames. utt_duration=136.2 frames, utt_pad_proportion=0.06691, over 411.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3404, pruned_loss=0.0966, over 2781919.26 frames. utt_duration=255.6 frames, utt_pad_proportion=0.06932, over 43792.74 utterances.], batch size: 411, lr: 1.68e-04
+2022-09-19 14:07:45,924 INFO [train.py:885] (0/2) Epoch 28, batch 6650, loss[loss=0.3401, simple_loss=0.3964, pruned_loss=0.1419, over 14220.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.0437, over 306.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3446, pruned_loss=0.09829, over 2774476.09 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07427, over 46290.59 utterances.], batch size: 306, lr: 1.68e-04
+2022-09-19 14:08:15,660 INFO [train.py:885] (0/2) Epoch 28, batch 6700, loss[loss=0.2929, simple_loss=0.3864, pruned_loss=0.09972, over 13792.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07048, over 411.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3462, pruned_loss=0.09916, over 2774148.46 frames. utt_duration=239 frames, utt_pad_proportion=0.07504, over 46722.63 utterances.], batch size: 411, lr: 1.68e-04
+2022-09-19 14:08:44,687 INFO [train.py:885] (0/2) Epoch 28, batch 6750, loss[loss=0.316, simple_loss=0.3854, pruned_loss=0.1234, over 14326.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03754, over 210.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3458, pruned_loss=0.09815, over 2779133.66 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07279, over 47017.51 utterances.], batch size: 210, lr: 1.68e-04
+2022-09-19 14:09:14,438 INFO [train.py:885] (0/2) Epoch 28, batch 6800, loss[loss=0.2478, simple_loss=0.3183, pruned_loss=0.08858, over 14241.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.04626, over 141.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3443, pruned_loss=0.09807, over 2781930.21 frames. utt_duration=244.7 frames, utt_pad_proportion=0.0709, over 45743.94 utterances.], batch size: 141, lr: 1.68e-04
+2022-09-19 14:09:44,258 INFO [train.py:885] (0/2) Epoch 28, batch 6850, loss[loss=0.225, simple_loss=0.3021, pruned_loss=0.07391, over 14309.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.03957, over 130.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3457, pruned_loss=0.09891, over 2779116.36 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07252, over 46244.74 utterances.], batch size: 130, lr: 1.68e-04
+2022-09-19 14:10:13,593 INFO [train.py:885] (0/2) Epoch 28, batch 6900, loss[loss=0.2275, simple_loss=0.2915, pruned_loss=0.08179, over 12267.00 frames. utt_duration=2046 frames, utt_pad_proportion=0.1603, over 24.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3463, pruned_loss=0.09909, over 2780824.93 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07205, over 46280.17 utterances.], batch size: 24, lr: 1.68e-04
+2022-09-19 14:10:43,902 INFO [train.py:885] (0/2) Epoch 28, batch 6950, loss[loss=0.2062, simple_loss=0.2857, pruned_loss=0.06335, over 14185.00 frames. utt_duration=639.2 frames, utt_pad_proportion=0.04882, over 89.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3484, pruned_loss=0.09961, over 2775597.60 frames. utt_duration=231.7 frames, utt_pad_proportion=0.07586, over 48225.82 utterances.], batch size: 89, lr: 1.68e-04
+2022-09-19 14:11:12,640 INFO [train.py:885] (0/2) Epoch 28, batch 7000, loss[loss=0.189, simple_loss=0.2579, pruned_loss=0.06006, over 13843.00 frames. utt_duration=924.4 frames, utt_pad_proportion=0.06813, over 60.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3458, pruned_loss=0.09858, over 2780002.51 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07429, over 46938.82 utterances.], batch size: 60, lr: 1.68e-04
+2022-09-19 14:11:42,340 INFO [train.py:885] (0/2) Epoch 28, batch 7050, loss[loss=0.3992, simple_loss=0.4877, pruned_loss=0.1554, over 13142.00 frames. utt_duration=82.04 frames, utt_pad_proportion=0.1083, over 653.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3489, pruned_loss=0.1003, over 2775487.71 frames. utt_duration=231.9 frames, utt_pad_proportion=0.076, over 48174.09 utterances.], batch size: 653, lr: 1.68e-04
+2022-09-19 14:12:12,148 INFO [train.py:885] (0/2) Epoch 28, batch 7100, loss[loss=0.238, simple_loss=0.3137, pruned_loss=0.08116, over 14309.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.03889, over 120.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3502, pruned_loss=0.1006, over 2779317.11 frames. utt_duration=230.2 frames, utt_pad_proportion=0.07422, over 48602.20 utterances.], batch size: 120, lr: 1.68e-04
+2022-09-19 14:12:41,229 INFO [train.py:885] (0/2) Epoch 28, batch 7150, loss[loss=0.2907, simple_loss=0.3619, pruned_loss=0.1097, over 14325.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04011, over 167.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3508, pruned_loss=0.1013, over 2781407.99 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07345, over 47964.81 utterances.], batch size: 167, lr: 1.68e-04
+2022-09-19 14:13:10,787 INFO [train.py:885] (0/2) Epoch 28, batch 7200, loss[loss=0.2887, simple_loss=0.3932, pruned_loss=0.09217, over 13660.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07908, over 477.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.347, pruned_loss=0.09966, over 2779280.81 frames. utt_duration=242 frames, utt_pad_proportion=0.07349, over 46216.76 utterances.], batch size: 477, lr: 1.67e-04
+2022-09-19 14:13:40,283 INFO [train.py:885] (0/2) Epoch 28, batch 7250, loss[loss=0.3142, simple_loss=0.3871, pruned_loss=0.1207, over 14191.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04527, over 306.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3456, pruned_loss=0.09907, over 2775841.68 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07317, over 46122.33 utterances.], batch size: 306, lr: 1.67e-04
+2022-09-19 14:13:46,789 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-348000.pt
+2022-09-19 14:14:10,386 INFO [train.py:885] (0/2) Epoch 28, batch 7300, loss[loss=0.1853, simple_loss=0.2497, pruned_loss=0.06045, over 13847.00 frames. utt_duration=804.3 frames, utt_pad_proportion=0.0626, over 69.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3469, pruned_loss=0.09998, over 2780541.36 frames. utt_duration=241 frames, utt_pad_proportion=0.07185, over 46441.16 utterances.], batch size: 69, lr: 1.67e-04
+2022-09-19 14:14:39,563 INFO [train.py:885] (0/2) Epoch 28, batch 7350, loss[loss=0.2966, simple_loss=0.3889, pruned_loss=0.1021, over 14002.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05556, over 365.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3457, pruned_loss=0.09921, over 2778564.58 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07111, over 45688.44 utterances.], batch size: 365, lr: 1.67e-04
+2022-09-19 14:15:09,104 INFO [train.py:885] (0/2) Epoch 28, batch 7400, loss[loss=0.2244, simple_loss=0.3055, pruned_loss=0.07167, over 13876.00 frames. utt_duration=926.5 frames, utt_pad_proportion=0.06323, over 60.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3457, pruned_loss=0.09849, over 2778336.18 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07153, over 46543.48 utterances.], batch size: 60, lr: 1.67e-04
+2022-09-19 14:15:38,653 INFO [train.py:885] (0/2) Epoch 28, batch 7450, loss[loss=0.4901, simple_loss=0.5758, pruned_loss=0.2022, over 12474.00 frames. utt_duration=63.18 frames, utt_pad_proportion=0.1462, over 810.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3469, pruned_loss=0.09986, over 2776534.71 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07098, over 46427.53 utterances.], batch size: 810, lr: 1.67e-04
+2022-09-19 14:16:09,262 INFO [train.py:885] (0/2) Epoch 28, batch 7500, loss[loss=0.3136, simple_loss=0.3738, pruned_loss=0.1267, over 14258.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04145, over 225.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3493, pruned_loss=0.1004, over 2779063.63 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07095, over 47867.94 utterances.], batch size: 225, lr: 1.67e-04
+2022-09-19 14:16:38,453 INFO [train.py:885] (0/2) Epoch 28, batch 7550, loss[loss=0.1894, simple_loss=0.2551, pruned_loss=0.06189, over 13998.00 frames. utt_duration=710.4 frames, utt_pad_proportion=0.05907, over 79.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3448, pruned_loss=0.09804, over 2780388.00 frames. utt_duration=242.7 frames, utt_pad_proportion=0.06928, over 46099.31 utterances.], batch size: 79, lr: 1.67e-04
+2022-09-19 14:17:08,030 INFO [train.py:885] (0/2) Epoch 28, batch 7600, loss[loss=0.2962, simple_loss=0.3693, pruned_loss=0.1116, over 14321.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03805, over 195.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3474, pruned_loss=0.09988, over 2779186.52 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07165, over 46709.67 utterances.], batch size: 195, lr: 1.67e-04
+2022-09-19 14:17:37,309 INFO [train.py:885] (0/2) Epoch 28, batch 7650, loss[loss=0.5299, simple_loss=0.6086, pruned_loss=0.2256, over 12404.00 frames. utt_duration=62.84 frames, utt_pad_proportion=0.1509, over 811.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.348, pruned_loss=0.1004, over 2778613.94 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07168, over 47287.02 utterances.], batch size: 811, lr: 1.67e-04
+2022-09-19 14:18:06,538 INFO [train.py:885] (0/2) Epoch 28, batch 7700, loss[loss=0.249, simple_loss=0.3275, pruned_loss=0.08526, over 14300.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.04126, over 154.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3476, pruned_loss=0.1002, over 2780735.53 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07117, over 46905.37 utterances.], batch size: 154, lr: 1.67e-04
+2022-09-19 14:18:36,387 INFO [train.py:885] (0/2) Epoch 28, batch 7750, loss[loss=0.2981, simple_loss=0.3695, pruned_loss=0.1133, over 14311.00 frames. utt_duration=220 frames, utt_pad_proportion=0.0395, over 262.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.3527, pruned_loss=0.1019, over 2781064.06 frames. utt_duration=225.9 frames, utt_pad_proportion=0.07337, over 49564.41 utterances.], batch size: 262, lr: 1.67e-04
+2022-09-19 14:19:05,554 INFO [train.py:885] (0/2) Epoch 28, batch 7800, loss[loss=0.2944, simple_loss=0.3685, pruned_loss=0.1101, over 14356.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03637, over 210.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3498, pruned_loss=0.1012, over 2784383.83 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07085, over 47624.13 utterances.], batch size: 210, lr: 1.67e-04
+2022-09-19 14:19:43,887 INFO [train.py:885] (0/2) Epoch 28, batch 7850, loss[loss=0.2657, simple_loss=0.3456, pruned_loss=0.09293, over 14327.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.0401, over 167.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3474, pruned_loss=0.09968, over 2783905.58 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07105, over 47293.33 utterances.], batch size: 167, lr: 1.67e-04
+2022-09-19 14:20:13,507 INFO [train.py:885] (0/2) Epoch 28, batch 7900, loss[loss=0.3055, simple_loss=0.3886, pruned_loss=0.1112, over 13992.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05636, over 365.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3451, pruned_loss=0.09785, over 2785768.03 frames. utt_duration=241.7 frames, utt_pad_proportion=0.06933, over 46392.22 utterances.], batch size: 365, lr: 1.67e-04
+2022-09-19 14:20:42,743 INFO [train.py:885] (0/2) Epoch 28, batch 7950, loss[loss=0.5098, simple_loss=0.6004, pruned_loss=0.2096, over 12521.00 frames. utt_duration=63.4 frames, utt_pad_proportion=0.1432, over 810.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.346, pruned_loss=0.09823, over 2790852.76 frames. utt_duration=241.8 frames, utt_pad_proportion=0.06827, over 46458.76 utterances.], batch size: 810, lr: 1.67e-04
+2022-09-19 14:21:12,289 INFO [train.py:885] (0/2) Epoch 28, batch 8000, loss[loss=0.3472, simple_loss=0.4371, pruned_loss=0.1287, over 13666.00 frames. utt_duration=99.01 frames, utt_pad_proportion=0.07467, over 560.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3462, pruned_loss=0.09864, over 2792885.86 frames. utt_duration=243.6 frames, utt_pad_proportion=0.06692, over 46147.51 utterances.], batch size: 560, lr: 1.67e-04
+2022-09-19 14:21:42,380 INFO [train.py:885] (0/2) Epoch 28, batch 8050, loss[loss=0.1683, simple_loss=0.2344, pruned_loss=0.05108, over 13642.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.07948, over 50.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3459, pruned_loss=0.09885, over 2788383.89 frames. utt_duration=244.3 frames, utt_pad_proportion=0.068, over 45938.66 utterances.], batch size: 50, lr: 1.67e-04
+2022-09-19 14:22:12,277 INFO [train.py:885] (0/2) Epoch 28, batch 8100, loss[loss=0.4067, simple_loss=0.4957, pruned_loss=0.1588, over 13110.00 frames. utt_duration=81.84 frames, utt_pad_proportion=0.1105, over 653.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3453, pruned_loss=0.09901, over 2791544.54 frames. utt_duration=247 frames, utt_pad_proportion=0.06674, over 45483.90 utterances.], batch size: 653, lr: 1.67e-04
+2022-09-19 14:22:41,833 INFO [train.py:885] (0/2) Epoch 28, batch 8150, loss[loss=0.3573, simple_loss=0.4114, pruned_loss=0.1516, over 14257.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04156, over 335.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3491, pruned_loss=0.1006, over 2793854.18 frames. utt_duration=237.9 frames, utt_pad_proportion=0.06691, over 47258.91 utterances.], batch size: 335, lr: 1.67e-04
+2022-09-19 14:23:11,284 INFO [train.py:885] (0/2) Epoch 28, batch 8200, loss[loss=0.2991, simple_loss=0.3809, pruned_loss=0.1087, over 13963.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05904, over 365.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3524, pruned_loss=0.1028, over 2789024.26 frames. utt_duration=234.5 frames, utt_pad_proportion=0.06933, over 47873.78 utterances.], batch size: 365, lr: 1.67e-04
+2022-09-19 14:23:40,221 INFO [train.py:885] (0/2) Epoch 28, batch 8250, loss[loss=0.3291, simple_loss=0.3978, pruned_loss=0.1302, over 14258.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04167, over 225.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3492, pruned_loss=0.1011, over 2787852.06 frames. utt_duration=238.1 frames, utt_pad_proportion=0.06932, over 47120.60 utterances.], batch size: 225, lr: 1.67e-04
+2022-09-19 14:24:09,523 INFO [train.py:885] (0/2) Epoch 28, batch 8300, loss[loss=0.28, simple_loss=0.3601, pruned_loss=0.09998, over 14349.00 frames. utt_duration=220.5 frames, utt_pad_proportion=0.0372, over 262.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3493, pruned_loss=0.1012, over 2785782.95 frames. utt_duration=240 frames, utt_pad_proportion=0.06986, over 46711.43 utterances.], batch size: 262, lr: 1.67e-04
+2022-09-19 14:24:39,429 INFO [train.py:885] (0/2) Epoch 28, batch 8350, loss[loss=0.1968, simple_loss=0.2603, pruned_loss=0.06662, over 13919.00 frames. utt_duration=808.7 frames, utt_pad_proportion=0.05861, over 69.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3495, pruned_loss=0.1018, over 2787148.35 frames. utt_duration=242.8 frames, utt_pad_proportion=0.06891, over 46188.20 utterances.], batch size: 69, lr: 1.67e-04
+2022-09-19 14:25:09,075 INFO [train.py:885] (0/2) Epoch 28, batch 8400, loss[loss=0.2103, simple_loss=0.2771, pruned_loss=0.07174, over 13825.00 frames. utt_duration=923.2 frames, utt_pad_proportion=0.0665, over 60.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3477, pruned_loss=0.101, over 2789008.96 frames. utt_duration=249.5 frames, utt_pad_proportion=0.06707, over 44974.35 utterances.], batch size: 60, lr: 1.67e-04
+2022-09-19 14:25:39,090 INFO [train.py:885] (0/2) Epoch 28, batch 8450, loss[loss=0.2981, simple_loss=0.3762, pruned_loss=0.11, over 14323.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.03737, over 226.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3475, pruned_loss=0.1, over 2783624.21 frames. utt_duration=241.8 frames, utt_pad_proportion=0.0692, over 46330.53 utterances.], batch size: 226, lr: 1.67e-04
+2022-09-19 14:26:08,051 INFO [train.py:885] (0/2) Epoch 28, batch 8500, loss[loss=0.2782, simple_loss=0.3555, pruned_loss=0.1004, over 14336.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03463, over 244.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3467, pruned_loss=0.09961, over 2784725.99 frames. utt_duration=244.9 frames, utt_pad_proportion=0.06896, over 45761.35 utterances.], batch size: 244, lr: 1.67e-04
+2022-09-19 14:26:37,623 INFO [train.py:885] (0/2) Epoch 28, batch 8550, loss[loss=0.2843, simple_loss=0.3575, pruned_loss=0.1055, over 14306.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.03807, over 180.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3463, pruned_loss=0.09862, over 2788265.06 frames. utt_duration=245.8 frames, utt_pad_proportion=0.06855, over 45655.16 utterances.], batch size: 180, lr: 1.67e-04
+2022-09-19 14:27:07,281 INFO [train.py:885] (0/2) Epoch 28, batch 8600, loss[loss=0.2466, simple_loss=0.3238, pruned_loss=0.08468, over 14341.00 frames. utt_duration=479.6 frames, utt_pad_proportion=0.03705, over 120.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3471, pruned_loss=0.09849, over 2785803.59 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07043, over 47123.35 utterances.], batch size: 120, lr: 1.67e-04
+2022-09-19 14:27:37,043 INFO [train.py:885] (0/2) Epoch 28, batch 8650, loss[loss=0.1779, simple_loss=0.2322, pruned_loss=0.06179, over 13201.00 frames. utt_duration=1602 frames, utt_pad_proportion=0.1126, over 33.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.347, pruned_loss=0.09911, over 2782073.31 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07111, over 47080.33 utterances.], batch size: 33, lr: 1.67e-04
+2022-09-19 14:28:06,153 INFO [train.py:885] (0/2) Epoch 28, batch 8700, loss[loss=0.3333, simple_loss=0.3957, pruned_loss=0.1355, over 14319.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03774, over 210.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3478, pruned_loss=0.09898, over 2781130.11 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07174, over 47653.28 utterances.], batch size: 210, lr: 1.67e-04
+2022-09-19 14:28:36,089 INFO [train.py:885] (0/2) Epoch 28, batch 8750, loss[loss=0.2937, simple_loss=0.4059, pruned_loss=0.09076, over 13644.00 frames. utt_duration=98.81 frames, utt_pad_proportion=0.07652, over 560.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3493, pruned_loss=0.09943, over 2778244.52 frames. utt_duration=231.9 frames, utt_pad_proportion=0.07428, over 48236.05 utterances.], batch size: 560, lr: 1.67e-04
+2022-09-19 14:29:05,928 INFO [train.py:885] (0/2) Epoch 28, batch 8800, loss[loss=0.2289, simple_loss=0.303, pruned_loss=0.07735, over 14310.00 frames. utt_duration=478.5 frames, utt_pad_proportion=0.03717, over 120.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3484, pruned_loss=0.09903, over 2778578.61 frames. utt_duration=234.9 frames, utt_pad_proportion=0.0732, over 47611.25 utterances.], batch size: 120, lr: 1.67e-04
+2022-09-19 14:29:35,096 INFO [train.py:885] (0/2) Epoch 28, batch 8850, loss[loss=0.3101, simple_loss=0.3842, pruned_loss=0.118, over 14338.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03389, over 244.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3503, pruned_loss=0.1005, over 2779171.07 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07319, over 47947.97 utterances.], batch size: 244, lr: 1.67e-04
+2022-09-19 14:30:04,868 INFO [train.py:885] (0/2) Epoch 28, batch 8900, loss[loss=0.292, simple_loss=0.361, pruned_loss=0.1114, over 14325.00 frames. utt_duration=319.7 frames, utt_pad_proportion=0.03695, over 180.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.35, pruned_loss=0.1013, over 2778604.45 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07345, over 47224.37 utterances.], batch size: 180, lr: 1.67e-04
+2022-09-19 14:30:33,837 INFO [train.py:885] (0/2) Epoch 28, batch 8950, loss[loss=0.201, simple_loss=0.2528, pruned_loss=0.0746, over 13500.00 frames. utt_duration=1287 frames, utt_pad_proportion=0.09786, over 42.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3489, pruned_loss=0.1006, over 2775479.09 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07456, over 47101.66 utterances.], batch size: 42, lr: 1.67e-04
+2022-09-19 14:31:03,675 INFO [train.py:885] (0/2) Epoch 28, batch 9000, loss[loss=0.2665, simple_loss=0.3253, pruned_loss=0.1038, over 14263.00 frames. utt_duration=642.4 frames, utt_pad_proportion=0.04258, over 89.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3526, pruned_loss=0.1024, over 2777788.63 frames. utt_duration=230.4 frames, utt_pad_proportion=0.07462, over 48545.44 utterances.], batch size: 89, lr: 1.67e-04
+2022-09-19 14:31:03,677 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 14:31:07,835 INFO [train.py:914] (0/2) Epoch 28, validation: loss=0.1959, simple_loss=0.2747, pruned_loss=0.05853, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 14:31:36,804 INFO [train.py:885] (0/2) Epoch 28, batch 9050, loss[loss=0.329, simple_loss=0.425, pruned_loss=0.1166, over 13655.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07923, over 477.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.353, pruned_loss=0.1026, over 2780860.47 frames. utt_duration=229.5 frames, utt_pad_proportion=0.07371, over 48772.03 utterances.], batch size: 477, lr: 1.67e-04
+2022-09-19 14:32:07,673 INFO [train.py:885] (0/2) Epoch 28, batch 9100, loss[loss=0.2629, simple_loss=0.3681, pruned_loss=0.07885, over 13789.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07043, over 411.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3538, pruned_loss=0.1032, over 2782023.81 frames. utt_duration=228.7 frames, utt_pad_proportion=0.07414, over 48974.58 utterances.], batch size: 411, lr: 1.67e-04
+2022-09-19 14:32:36,837 INFO [train.py:885] (0/2) Epoch 28, batch 9150, loss[loss=0.1567, simple_loss=0.2174, pruned_loss=0.04799, over 12346.00 frames. utt_duration=2059 frames, utt_pad_proportion=0.1682, over 24.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3482, pruned_loss=0.1008, over 2777583.35 frames. utt_duration=239.5 frames, utt_pad_proportion=0.0739, over 46682.21 utterances.], batch size: 24, lr: 1.67e-04
+2022-09-19 14:33:06,467 INFO [train.py:885] (0/2) Epoch 28, batch 9200, loss[loss=0.2797, simple_loss=0.36, pruned_loss=0.09972, over 14349.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03377, over 244.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3507, pruned_loss=0.1019, over 2775698.67 frames. utt_duration=234.3 frames, utt_pad_proportion=0.07526, over 47690.36 utterances.], batch size: 244, lr: 1.67e-04
+2022-09-19 14:33:35,481 INFO [train.py:885] (0/2) Epoch 28, batch 9250, loss[loss=0.3144, simple_loss=0.413, pruned_loss=0.1079, over 13643.00 frames. utt_duration=98.76 frames, utt_pad_proportion=0.07704, over 560.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3497, pruned_loss=0.1013, over 2777952.48 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07415, over 47308.76 utterances.], batch size: 560, lr: 1.67e-04
+2022-09-19 14:34:04,917 INFO [train.py:885] (0/2) Epoch 28, batch 9300, loss[loss=0.2178, simple_loss=0.2973, pruned_loss=0.06918, over 14283.00 frames. utt_duration=477.5 frames, utt_pad_proportion=0.04307, over 120.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3474, pruned_loss=0.1007, over 2777224.28 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07362, over 46345.53 utterances.], batch size: 120, lr: 1.67e-04
+2022-09-19 14:34:34,855 INFO [train.py:885] (0/2) Epoch 28, batch 9350, loss[loss=0.216, simple_loss=0.3115, pruned_loss=0.06024, over 14320.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.0402, over 154.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3472, pruned_loss=0.1004, over 2778240.35 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07301, over 46524.79 utterances.], batch size: 154, lr: 1.67e-04
+2022-09-19 14:35:04,421 INFO [train.py:885] (0/2) Epoch 28, batch 9400, loss[loss=0.2464, simple_loss=0.3272, pruned_loss=0.08275, over 14381.00 frames. utt_duration=275.2 frames, utt_pad_proportion=0.03442, over 210.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3472, pruned_loss=0.1002, over 2778585.79 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07275, over 46566.16 utterances.], batch size: 210, lr: 1.67e-04
+2022-09-19 14:35:33,878 INFO [train.py:885] (0/2) Epoch 28, batch 9450, loss[loss=0.2074, simple_loss=0.2835, pruned_loss=0.06563, over 13954.00 frames. utt_duration=707.9 frames, utt_pad_proportion=0.06368, over 79.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3489, pruned_loss=0.1003, over 2778973.04 frames. utt_duration=233.9 frames, utt_pad_proportion=0.07411, over 47824.22 utterances.], batch size: 79, lr: 1.67e-04
+2022-09-19 14:36:03,987 INFO [train.py:885] (0/2) Epoch 28, batch 9500, loss[loss=0.1643, simple_loss=0.2156, pruned_loss=0.0565, over 13033.00 frames. utt_duration=1581 frames, utt_pad_proportion=0.121, over 33.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3481, pruned_loss=0.1, over 2782406.61 frames. utt_duration=237.2 frames, utt_pad_proportion=0.0727, over 47206.93 utterances.], batch size: 33, lr: 1.67e-04
+2022-09-19 14:36:32,954 INFO [train.py:885] (0/2) Epoch 28, batch 9550, loss[loss=0.3118, simple_loss=0.3821, pruned_loss=0.1207, over 14270.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04038, over 225.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3496, pruned_loss=0.1001, over 2784944.47 frames. utt_duration=234.7 frames, utt_pad_proportion=0.0722, over 47771.37 utterances.], batch size: 225, lr: 1.67e-04
+2022-09-19 14:37:03,122 INFO [train.py:885] (0/2) Epoch 28, batch 9600, loss[loss=0.211, simple_loss=0.2863, pruned_loss=0.06781, over 14207.00 frames. utt_duration=522.8 frames, utt_pad_proportion=0.04253, over 109.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3467, pruned_loss=0.09893, over 2787827.48 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07025, over 46238.86 utterances.], batch size: 109, lr: 1.67e-04
+2022-09-19 14:37:32,207 INFO [train.py:885] (0/2) Epoch 28, batch 9650, loss[loss=0.2833, simple_loss=0.3666, pruned_loss=0.1, over 14344.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03607, over 226.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3475, pruned_loss=0.09947, over 2786046.86 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07014, over 46738.76 utterances.], batch size: 226, lr: 1.67e-04
+2022-09-19 14:38:02,167 INFO [train.py:885] (0/2) Epoch 28, batch 9700, loss[loss=0.1611, simple_loss=0.2234, pruned_loss=0.04942, over 13443.00 frames. utt_duration=1313 frames, utt_pad_proportion=0.08268, over 41.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3455, pruned_loss=0.09878, over 2783703.95 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07214, over 45668.49 utterances.], batch size: 41, lr: 1.67e-04
+2022-09-19 14:38:32,140 INFO [train.py:885] (0/2) Epoch 28, batch 9750, loss[loss=0.1713, simple_loss=0.2495, pruned_loss=0.0465, over 13749.00 frames. utt_duration=798.4 frames, utt_pad_proportion=0.07056, over 69.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.345, pruned_loss=0.09781, over 2782573.49 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07188, over 46125.17 utterances.], batch size: 69, lr: 1.67e-04
+2022-09-19 14:39:01,297 INFO [train.py:885] (0/2) Epoch 28, batch 9800, loss[loss=0.2017, simple_loss=0.2765, pruned_loss=0.06339, over 14048.00 frames. utt_duration=712.7 frames, utt_pad_proportion=0.05607, over 79.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3436, pruned_loss=0.09758, over 2783246.44 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07024, over 45403.08 utterances.], batch size: 79, lr: 1.67e-04
+2022-09-19 14:39:30,949 INFO [train.py:885] (0/2) Epoch 28, batch 9850, loss[loss=0.2617, simple_loss=0.3385, pruned_loss=0.09245, over 14313.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.04016, over 154.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3443, pruned_loss=0.09814, over 2790592.96 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06814, over 44461.04 utterances.], batch size: 154, lr: 1.67e-04
+2022-09-19 14:40:00,102 INFO [train.py:885] (0/2) Epoch 28, batch 9900, loss[loss=0.3607, simple_loss=0.4131, pruned_loss=0.1541, over 14325.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03773, over 210.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3407, pruned_loss=0.09672, over 2790108.60 frames. utt_duration=259.1 frames, utt_pad_proportion=0.06776, over 43325.30 utterances.], batch size: 210, lr: 1.67e-04
+2022-09-19 14:40:29,651 INFO [train.py:885] (0/2) Epoch 28, batch 9950, loss[loss=0.3637, simple_loss=0.4169, pruned_loss=0.1553, over 14232.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04308, over 335.00 utterances.], tot_loss[loss=0.265, simple_loss=0.3386, pruned_loss=0.09576, over 2790591.82 frames. utt_duration=264.8 frames, utt_pad_proportion=0.06751, over 42393.34 utterances.], batch size: 335, lr: 1.67e-04
+2022-09-19 14:40:58,909 INFO [train.py:885] (0/2) Epoch 28, batch 10000, loss[loss=0.3201, simple_loss=0.3887, pruned_loss=0.1257, over 14376.00 frames. utt_duration=345.7 frames, utt_pad_proportion=0.03716, over 167.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3404, pruned_loss=0.09628, over 2787546.05 frames. utt_duration=258.1 frames, utt_pad_proportion=0.06769, over 43454.31 utterances.], batch size: 167, lr: 1.67e-04
+2022-09-19 14:41:28,568 INFO [train.py:885] (0/2) Epoch 28, batch 10050, loss[loss=0.1856, simple_loss=0.2602, pruned_loss=0.0555, over 13353.00 frames. utt_duration=1070 frames, utt_pad_proportion=0.09359, over 50.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3441, pruned_loss=0.09824, over 2787692.38 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06827, over 44347.44 utterances.], batch size: 50, lr: 1.67e-04
+2022-09-19 14:41:58,452 INFO [train.py:885] (0/2) Epoch 28, batch 10100, loss[loss=0.3099, simple_loss=0.3981, pruned_loss=0.1109, over 13745.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07374, over 411.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3416, pruned_loss=0.09636, over 2787591.15 frames. utt_duration=258.4 frames, utt_pad_proportion=0.06782, over 43405.29 utterances.], batch size: 411, lr: 1.67e-04
+2022-09-19 14:42:27,788 INFO [train.py:885] (0/2) Epoch 28, batch 10150, loss[loss=0.3481, simple_loss=0.4328, pruned_loss=0.1317, over 13675.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07918, over 477.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3453, pruned_loss=0.09818, over 2780181.89 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07085, over 45063.86 utterances.], batch size: 477, lr: 1.67e-04
+2022-09-19 14:42:57,273 INFO [train.py:885] (0/2) Epoch 28, batch 10200, loss[loss=0.3169, simple_loss=0.4224, pruned_loss=0.1057, over 13594.00 frames. utt_duration=98.47 frames, utt_pad_proportion=0.07972, over 560.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3433, pruned_loss=0.09724, over 2777613.47 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07112, over 44831.40 utterances.], batch size: 560, lr: 1.67e-04
+2022-09-19 14:43:27,123 INFO [train.py:885] (0/2) Epoch 28, batch 10250, loss[loss=0.3779, simple_loss=0.4211, pruned_loss=0.1673, over 14229.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04302, over 306.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3462, pruned_loss=0.09933, over 2776776.89 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07172, over 46004.91 utterances.], batch size: 306, lr: 1.67e-04
+2022-09-19 14:43:57,058 INFO [train.py:885] (0/2) Epoch 28, batch 10300, loss[loss=0.3455, simple_loss=0.3972, pruned_loss=0.1469, over 14339.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03769, over 283.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.345, pruned_loss=0.09881, over 2775751.10 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07166, over 45572.03 utterances.], batch size: 283, lr: 1.67e-04
+2022-09-19 14:44:26,277 INFO [train.py:885] (0/2) Epoch 28, batch 10350, loss[loss=0.3357, simple_loss=0.4437, pruned_loss=0.1138, over 13120.00 frames. utt_duration=81.92 frames, utt_pad_proportion=0.1096, over 653.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3454, pruned_loss=0.09863, over 2773357.61 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07259, over 46622.07 utterances.], batch size: 653, lr: 1.67e-04
+2022-09-19 14:44:55,747 INFO [train.py:885] (0/2) Epoch 28, batch 10400, loss[loss=0.3528, simple_loss=0.4375, pruned_loss=0.1341, over 13673.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07865, over 477.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3453, pruned_loss=0.09862, over 2781754.25 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07141, over 45869.73 utterances.], batch size: 477, lr: 1.67e-04
+2022-09-19 14:45:24,864 INFO [train.py:885] (0/2) Epoch 28, batch 10450, loss[loss=0.3171, simple_loss=0.379, pruned_loss=0.1275, over 14337.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.0373, over 283.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3472, pruned_loss=0.1002, over 2784010.20 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07068, over 45945.41 utterances.], batch size: 283, lr: 1.67e-04
+2022-09-19 14:45:54,844 INFO [train.py:885] (0/2) Epoch 28, batch 10500, loss[loss=0.3475, simple_loss=0.3991, pruned_loss=0.1479, over 14298.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.03911, over 154.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3445, pruned_loss=0.09784, over 2783957.84 frames. utt_duration=246.2 frames, utt_pad_proportion=0.06971, over 45498.32 utterances.], batch size: 154, lr: 1.67e-04
+2022-09-19 14:46:24,179 INFO [train.py:885] (0/2) Epoch 28, batch 10550, loss[loss=0.3682, simple_loss=0.44, pruned_loss=0.1482, over 13979.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05677, over 365.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3447, pruned_loss=0.09757, over 2785778.10 frames. utt_duration=247.1 frames, utt_pad_proportion=0.06961, over 45358.24 utterances.], batch size: 365, lr: 1.67e-04
+2022-09-19 14:46:53,487 INFO [train.py:885] (0/2) Epoch 28, batch 10600, loss[loss=0.2841, simple_loss=0.3599, pruned_loss=0.1041, over 14276.00 frames. utt_duration=219.5 frames, utt_pad_proportion=0.0417, over 262.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3488, pruned_loss=0.09991, over 2785681.26 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07093, over 46873.26 utterances.], batch size: 262, lr: 1.67e-04
+2022-09-19 14:47:22,402 INFO [train.py:885] (0/2) Epoch 28, batch 10650, loss[loss=0.2321, simple_loss=0.2973, pruned_loss=0.08349, over 14223.00 frames. utt_duration=640.6 frames, utt_pad_proportion=0.04525, over 89.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3454, pruned_loss=0.09922, over 2780295.73 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07073, over 44979.45 utterances.], batch size: 89, lr: 1.67e-04
+2022-09-19 14:47:52,124 INFO [train.py:885] (0/2) Epoch 28, batch 10700, loss[loss=0.2727, simple_loss=0.34, pruned_loss=0.1028, over 14225.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.04734, over 141.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3476, pruned_loss=0.1005, over 2773957.09 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07308, over 45550.16 utterances.], batch size: 141, lr: 1.67e-04
+2022-09-19 14:48:21,514 INFO [train.py:885] (0/2) Epoch 28, batch 10750, loss[loss=0.1971, simple_loss=0.286, pruned_loss=0.05404, over 14200.00 frames. utt_duration=522.7 frames, utt_pad_proportion=0.04276, over 109.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3496, pruned_loss=0.1017, over 2775719.66 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07352, over 46477.51 utterances.], batch size: 109, lr: 1.67e-04
+2022-09-19 14:48:51,841 INFO [train.py:885] (0/2) Epoch 28, batch 10800, loss[loss=0.2128, simple_loss=0.2878, pruned_loss=0.06886, over 14209.00 frames. utt_duration=640 frames, utt_pad_proportion=0.0462, over 89.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.353, pruned_loss=0.1028, over 2780423.20 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07262, over 47711.35 utterances.], batch size: 89, lr: 1.67e-04
+2022-09-19 14:49:21,036 INFO [train.py:885] (0/2) Epoch 28, batch 10850, loss[loss=0.2478, simple_loss=0.3269, pruned_loss=0.08437, over 14308.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.0407, over 154.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3531, pruned_loss=0.1028, over 2778587.64 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07389, over 47673.24 utterances.], batch size: 154, lr: 1.67e-04
+2022-09-19 14:49:50,195 INFO [train.py:885] (0/2) Epoch 28, batch 10900, loss[loss=0.2282, simple_loss=0.2922, pruned_loss=0.0821, over 13670.00 frames. utt_duration=1095 frames, utt_pad_proportion=0.08037, over 50.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3478, pruned_loss=0.1008, over 2781241.22 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07141, over 45560.18 utterances.], batch size: 50, lr: 1.67e-04
+2022-09-19 14:50:19,678 INFO [train.py:885] (0/2) Epoch 28, batch 10950, loss[loss=0.1978, simple_loss=0.2721, pruned_loss=0.06176, over 12980.00 frames. utt_duration=2078 frames, utt_pad_proportion=0.1254, over 25.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3464, pruned_loss=0.09944, over 2779364.40 frames. utt_duration=245.3 frames, utt_pad_proportion=0.0713, over 45591.59 utterances.], batch size: 25, lr: 1.67e-04
+2022-09-19 14:50:48,871 INFO [train.py:885] (0/2) Epoch 28, batch 11000, loss[loss=0.3861, simple_loss=0.4317, pruned_loss=0.1703, over 14229.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04343, over 335.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3455, pruned_loss=0.09999, over 2778122.67 frames. utt_duration=248 frames, utt_pad_proportion=0.0722, over 45070.28 utterances.], batch size: 335, lr: 1.67e-04
+2022-09-19 14:51:25,332 INFO [train.py:885] (0/2) Epoch 28, batch 11050, loss[loss=0.2548, simple_loss=0.338, pruned_loss=0.08583, over 14348.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03661, over 210.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.345, pruned_loss=0.09875, over 2778821.29 frames. utt_duration=246 frames, utt_pad_proportion=0.07212, over 45462.98 utterances.], batch size: 210, lr: 1.67e-04
+2022-09-19 14:51:55,565 INFO [train.py:885] (0/2) Epoch 28, batch 11100, loss[loss=0.2535, simple_loss=0.3364, pruned_loss=0.08534, over 14253.00 frames. utt_duration=318.3 frames, utt_pad_proportion=0.04137, over 180.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3456, pruned_loss=0.09863, over 2782919.10 frames. utt_duration=244.3 frames, utt_pad_proportion=0.0704, over 45846.46 utterances.], batch size: 180, lr: 1.67e-04
+2022-09-19 14:52:25,013 INFO [train.py:885] (0/2) Epoch 28, batch 11150, loss[loss=0.1926, simple_loss=0.2618, pruned_loss=0.06169, over 13878.00 frames. utt_duration=926.8 frames, utt_pad_proportion=0.05815, over 60.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3462, pruned_loss=0.09919, over 2783827.85 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07171, over 46416.31 utterances.], batch size: 60, lr: 1.67e-04
+2022-09-19 14:53:01,745 INFO [train.py:885] (0/2) Epoch 28, batch 11200, loss[loss=0.3604, simple_loss=0.4125, pruned_loss=0.1542, over 14190.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04512, over 306.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3452, pruned_loss=0.09779, over 2786229.92 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07001, over 46158.45 utterances.], batch size: 306, lr: 1.67e-04
+2022-09-19 14:53:31,420 INFO [train.py:885] (0/2) Epoch 28, batch 11250, loss[loss=0.2216, simple_loss=0.286, pruned_loss=0.07853, over 14218.00 frames. utt_duration=523.3 frames, utt_pad_proportion=0.04152, over 109.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3469, pruned_loss=0.09839, over 2781085.21 frames. utt_duration=232.9 frames, utt_pad_proportion=0.0742, over 48066.63 utterances.], batch size: 109, lr: 1.67e-04
+2022-09-19 14:53:37,992 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-352000.pt
+2022-09-19 14:54:01,823 INFO [train.py:885] (0/2) Epoch 28, batch 11300, loss[loss=0.2571, simple_loss=0.3382, pruned_loss=0.08802, over 14340.00 frames. utt_duration=320 frames, utt_pad_proportion=0.03623, over 180.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3455, pruned_loss=0.09762, over 2784589.98 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07315, over 47238.95 utterances.], batch size: 180, lr: 1.67e-04
+2022-09-19 14:54:31,379 INFO [train.py:885] (0/2) Epoch 28, batch 11350, loss[loss=0.2754, simple_loss=0.3491, pruned_loss=0.1008, over 14284.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03997, over 225.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3458, pruned_loss=0.09781, over 2783066.72 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07389, over 47418.99 utterances.], batch size: 225, lr: 1.67e-04
+2022-09-19 14:55:01,599 INFO [train.py:885] (0/2) Epoch 28, batch 11400, loss[loss=0.2409, simple_loss=0.3141, pruned_loss=0.0839, over 14211.00 frames. utt_duration=523.1 frames, utt_pad_proportion=0.04201, over 109.00 utterances.], tot_loss[loss=0.267, simple_loss=0.3412, pruned_loss=0.09641, over 2786668.04 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07051, over 44787.88 utterances.], batch size: 109, lr: 1.66e-04
+2022-09-19 14:55:31,574 INFO [train.py:885] (0/2) Epoch 28, batch 11450, loss[loss=0.3787, simple_loss=0.4486, pruned_loss=0.1544, over 14025.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05424, over 365.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3422, pruned_loss=0.09703, over 2791444.38 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06848, over 44479.04 utterances.], batch size: 365, lr: 1.66e-04
+2022-09-19 14:56:01,262 INFO [train.py:885] (0/2) Epoch 28, batch 11500, loss[loss=0.1743, simple_loss=0.25, pruned_loss=0.04934, over 13974.00 frames. utt_duration=709.1 frames, utt_pad_proportion=0.06199, over 79.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.345, pruned_loss=0.09801, over 2790540.40 frames. utt_duration=244.1 frames, utt_pad_proportion=0.0691, over 46010.38 utterances.], batch size: 79, lr: 1.66e-04
+2022-09-19 14:56:30,534 INFO [train.py:885] (0/2) Epoch 28, batch 11550, loss[loss=0.2915, simple_loss=0.3574, pruned_loss=0.1128, over 14347.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03359, over 244.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.3417, pruned_loss=0.09638, over 2788304.70 frames. utt_duration=250.6 frames, utt_pad_proportion=0.0685, over 44778.57 utterances.], batch size: 244, lr: 1.66e-04
+2022-09-19 14:56:59,904 INFO [train.py:885] (0/2) Epoch 28, batch 11600, loss[loss=0.3143, simple_loss=0.4103, pruned_loss=0.1092, over 13668.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08044, over 478.00 utterances.], tot_loss[loss=0.267, simple_loss=0.3415, pruned_loss=0.09621, over 2785883.75 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06946, over 45160.97 utterances.], batch size: 478, lr: 1.66e-04
+2022-09-19 14:57:29,366 INFO [train.py:885] (0/2) Epoch 28, batch 11650, loss[loss=0.197, simple_loss=0.2727, pruned_loss=0.06068, over 14017.00 frames. utt_duration=802.4 frames, utt_pad_proportion=0.06373, over 70.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3433, pruned_loss=0.09787, over 2784669.56 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07009, over 45090.10 utterances.], batch size: 70, lr: 1.66e-04
+2022-09-19 14:57:58,522 INFO [train.py:885] (0/2) Epoch 28, batch 11700, loss[loss=0.2591, simple_loss=0.3412, pruned_loss=0.08846, over 14339.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.037, over 195.00 utterances.], tot_loss[loss=0.2648, simple_loss=0.3388, pruned_loss=0.09537, over 2782249.52 frames. utt_duration=258.8 frames, utt_pad_proportion=0.06947, over 43246.06 utterances.], batch size: 195, lr: 1.66e-04
+2022-09-19 14:58:28,013 INFO [train.py:885] (0/2) Epoch 28, batch 11750, loss[loss=0.2824, simple_loss=0.3613, pruned_loss=0.1018, over 14318.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03872, over 262.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3413, pruned_loss=0.09584, over 2782149.75 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07049, over 45413.10 utterances.], batch size: 262, lr: 1.66e-04
+2022-09-19 14:58:57,438 INFO [train.py:885] (0/2) Epoch 28, batch 11800, loss[loss=0.276, simple_loss=0.3415, pruned_loss=0.1052, over 14282.00 frames. utt_duration=520.7 frames, utt_pad_proportion=0.04454, over 110.00 utterances.], tot_loss[loss=0.2664, simple_loss=0.3409, pruned_loss=0.09593, over 2778512.74 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07081, over 44934.49 utterances.], batch size: 110, lr: 1.66e-04
+2022-09-19 14:59:27,531 INFO [train.py:885] (0/2) Epoch 28, batch 11850, loss[loss=0.2425, simple_loss=0.3128, pruned_loss=0.0861, over 14281.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.04384, over 141.00 utterances.], tot_loss[loss=0.2673, simple_loss=0.3419, pruned_loss=0.09641, over 2779232.25 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07205, over 45181.08 utterances.], batch size: 141, lr: 1.66e-04
+2022-09-19 14:59:57,737 INFO [train.py:885] (0/2) Epoch 28, batch 11900, loss[loss=0.2699, simple_loss=0.3523, pruned_loss=0.09378, over 14356.00 frames. utt_duration=296 frames, utt_pad_proportion=0.0359, over 195.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.3426, pruned_loss=0.09653, over 2778151.36 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07278, over 45374.44 utterances.], batch size: 195, lr: 1.66e-04
+2022-09-19 15:00:26,814 INFO [train.py:885] (0/2) Epoch 28, batch 11950, loss[loss=0.4265, simple_loss=0.531, pruned_loss=0.161, over 12400.00 frames. utt_duration=62.88 frames, utt_pad_proportion=0.1503, over 810.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3437, pruned_loss=0.09727, over 2780445.93 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07291, over 45804.86 utterances.], batch size: 810, lr: 1.66e-04
+2022-09-19 15:00:56,556 INFO [train.py:885] (0/2) Epoch 28, batch 12000, loss[loss=0.2622, simple_loss=0.3433, pruned_loss=0.0905, over 13307.00 frames. utt_duration=2049 frames, utt_pad_proportion=0.1031, over 26.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3409, pruned_loss=0.09662, over 2782574.22 frames. utt_duration=253.9 frames, utt_pad_proportion=0.07008, over 44089.49 utterances.], batch size: 26, lr: 1.66e-04
+2022-09-19 15:00:56,557 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 15:01:00,710 INFO [train.py:914] (0/2) Epoch 28, validation: loss=0.1993, simple_loss=0.2782, pruned_loss=0.06023, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 15:01:30,013 INFO [train.py:885] (0/2) Epoch 28, batch 12050, loss[loss=0.2351, simple_loss=0.304, pruned_loss=0.08311, over 14299.00 frames. utt_duration=407 frames, utt_pad_proportion=0.03998, over 141.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3461, pruned_loss=0.09893, over 2783451.73 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07258, over 46443.39 utterances.], batch size: 141, lr: 1.66e-04
+2022-09-19 15:01:59,437 INFO [train.py:885] (0/2) Epoch 28, batch 12100, loss[loss=0.3478, simple_loss=0.4145, pruned_loss=0.1406, over 14203.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04473, over 306.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.344, pruned_loss=0.09825, over 2783504.38 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07067, over 45811.82 utterances.], batch size: 306, lr: 1.66e-04
+2022-09-19 15:02:28,470 INFO [train.py:885] (0/2) Epoch 28, batch 12150, loss[loss=0.1641, simple_loss=0.2362, pruned_loss=0.04602, over 13437.00 frames. utt_duration=1312 frames, utt_pad_proportion=0.08289, over 41.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3449, pruned_loss=0.09883, over 2786999.89 frames. utt_duration=246.6 frames, utt_pad_proportion=0.06948, over 45487.41 utterances.], batch size: 41, lr: 1.66e-04
+2022-09-19 15:02:58,381 INFO [train.py:885] (0/2) Epoch 28, batch 12200, loss[loss=0.365, simple_loss=0.4693, pruned_loss=0.1304, over 13169.00 frames. utt_duration=82.19 frames, utt_pad_proportion=0.1067, over 653.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3456, pruned_loss=0.09842, over 2782802.15 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07128, over 46848.19 utterances.], batch size: 653, lr: 1.66e-04
+2022-09-19 15:03:27,770 INFO [train.py:885] (0/2) Epoch 28, batch 12250, loss[loss=0.2696, simple_loss=0.3401, pruned_loss=0.09958, over 14221.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.04731, over 141.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3422, pruned_loss=0.09735, over 2781301.64 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07183, over 45405.06 utterances.], batch size: 141, lr: 1.66e-04
+2022-09-19 15:03:57,152 INFO [train.py:885] (0/2) Epoch 28, batch 12300, loss[loss=0.2951, simple_loss=0.3925, pruned_loss=0.09884, over 13718.00 frames. utt_duration=135 frames, utt_pad_proportion=0.07541, over 411.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3401, pruned_loss=0.09647, over 2777322.26 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07335, over 44538.44 utterances.], batch size: 411, lr: 1.66e-04
+2022-09-19 15:04:26,289 INFO [train.py:885] (0/2) Epoch 28, batch 12350, loss[loss=0.2811, simple_loss=0.3587, pruned_loss=0.1017, over 14291.00 frames. utt_duration=255.5 frames, utt_pad_proportion=0.03965, over 225.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.3405, pruned_loss=0.09662, over 2779521.81 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07243, over 44676.87 utterances.], batch size: 225, lr: 1.66e-04
+2022-09-19 15:04:55,200 INFO [train.py:885] (0/2) Epoch 28, batch 12400, loss[loss=0.2227, simple_loss=0.2907, pruned_loss=0.07737, over 14046.00 frames. utt_duration=574.9 frames, utt_pad_proportion=0.05759, over 98.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.34, pruned_loss=0.09674, over 2784664.84 frames. utt_duration=255.1 frames, utt_pad_proportion=0.07088, over 43919.84 utterances.], batch size: 98, lr: 1.66e-04
+2022-09-19 15:05:25,207 INFO [train.py:885] (0/2) Epoch 28, batch 12450, loss[loss=0.1891, simple_loss=0.2651, pruned_loss=0.05654, over 14160.00 frames. utt_duration=638 frames, utt_pad_proportion=0.04925, over 89.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3432, pruned_loss=0.09858, over 2784527.79 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07049, over 44364.96 utterances.], batch size: 89, lr: 1.66e-04
+2022-09-19 15:06:00,781 INFO [train.py:885] (0/2) Epoch 28, batch 12500, loss[loss=0.3902, simple_loss=0.4361, pruned_loss=0.1721, over 14243.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04252, over 335.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3462, pruned_loss=0.09989, over 2781012.56 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07124, over 46560.86 utterances.], batch size: 335, lr: 1.66e-04
+2022-09-19 15:06:31,291 INFO [train.py:885] (0/2) Epoch 28, batch 12550, loss[loss=0.2995, simple_loss=0.3715, pruned_loss=0.1138, over 14337.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03828, over 262.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.351, pruned_loss=0.1021, over 2779020.91 frames. utt_duration=232.2 frames, utt_pad_proportion=0.07283, over 48172.42 utterances.], batch size: 262, lr: 1.66e-04
+2022-09-19 15:06:58,582 INFO [train.py:885] (0/2) Epoch 28, batch 12600, loss[loss=0.4562, simple_loss=0.4885, pruned_loss=0.2119, over 14198.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04458, over 306.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3493, pruned_loss=0.1018, over 2781257.83 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07115, over 46565.91 utterances.], batch size: 306, lr: 1.66e-04
+2022-09-19 15:07:09,369 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-28.pt
+2022-09-19 15:07:16,684 INFO [train.py:885] (0/2) Epoch 29, batch 0, loss[loss=0.292, simple_loss=0.3978, pruned_loss=0.09309, over 13635.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08091, over 477.00 utterances.], tot_loss[loss=0.292, simple_loss=0.3978, pruned_loss=0.09309, over 13635.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08091, over 477.00 utterances.], batch size: 477, lr: 1.63e-04
+2022-09-19 15:07:46,201 INFO [train.py:885] (0/2) Epoch 29, batch 50, loss[loss=0.1976, simple_loss=0.2724, pruned_loss=0.06141, over 14118.00 frames. utt_duration=716.3 frames, utt_pad_proportion=0.05132, over 79.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.345, pruned_loss=0.09824, over 628023.06 frames. utt_duration=242.4 frames, utt_pad_proportion=0.06696, over 10426.14 utterances.], batch size: 79, lr: 1.63e-04
+2022-09-19 15:08:15,425 INFO [train.py:885] (0/2) Epoch 29, batch 100, loss[loss=0.2296, simple_loss=0.2912, pruned_loss=0.08402, over 14010.00 frames. utt_duration=801.8 frames, utt_pad_proportion=0.05997, over 70.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3434, pruned_loss=0.09638, over 1099398.06 frames. utt_duration=230.8 frames, utt_pad_proportion=0.07716, over 19177.96 utterances.], batch size: 70, lr: 1.63e-04
+2022-09-19 15:08:44,214 INFO [train.py:885] (0/2) Epoch 29, batch 150, loss[loss=0.3673, simple_loss=0.4718, pruned_loss=0.1314, over 13165.00 frames. utt_duration=82.18 frames, utt_pad_proportion=0.1067, over 653.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3448, pruned_loss=0.09686, over 1478564.63 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07236, over 25299.81 utterances.], batch size: 653, lr: 1.63e-04
+2022-09-19 15:09:15,024 INFO [train.py:885] (0/2) Epoch 29, batch 200, loss[loss=0.2787, simple_loss=0.3547, pruned_loss=0.1014, over 14371.00 frames. utt_duration=275.1 frames, utt_pad_proportion=0.0348, over 210.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3464, pruned_loss=0.09744, over 1765863.91 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07194, over 30303.00 utterances.], batch size: 210, lr: 1.63e-04
+2022-09-19 15:09:44,759 INFO [train.py:885] (0/2) Epoch 29, batch 250, loss[loss=0.2792, simple_loss=0.3532, pruned_loss=0.1026, over 14343.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03913, over 167.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.3419, pruned_loss=0.09488, over 1995390.40 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07152, over 33034.32 utterances.], batch size: 167, lr: 1.63e-04
+2022-09-19 15:10:14,248 INFO [train.py:885] (0/2) Epoch 29, batch 300, loss[loss=0.3484, simple_loss=0.4091, pruned_loss=0.1439, over 14192.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04557, over 306.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3442, pruned_loss=0.09636, over 2171037.53 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07014, over 36521.49 utterances.], batch size: 306, lr: 1.63e-04
+2022-09-19 15:10:43,587 INFO [train.py:885] (0/2) Epoch 29, batch 350, loss[loss=0.1515, simple_loss=0.2129, pruned_loss=0.04508, over 13770.00 frames. utt_duration=919.4 frames, utt_pad_proportion=0.07601, over 60.00 utterances.], tot_loss[loss=0.264, simple_loss=0.3394, pruned_loss=0.09427, over 2307828.94 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07032, over 36971.40 utterances.], batch size: 60, lr: 1.63e-04
+2022-09-19 15:11:13,707 INFO [train.py:885] (0/2) Epoch 29, batch 400, loss[loss=0.5272, simple_loss=0.6021, pruned_loss=0.2262, over 12471.00 frames. utt_duration=63.17 frames, utt_pad_proportion=0.1464, over 810.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3455, pruned_loss=0.09845, over 2409344.53 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07358, over 40654.08 utterances.], batch size: 810, lr: 1.63e-04
+2022-09-19 15:11:43,303 INFO [train.py:885] (0/2) Epoch 29, batch 450, loss[loss=0.2897, simple_loss=0.3613, pruned_loss=0.1091, over 14396.00 frames. utt_duration=346.1 frames, utt_pad_proportion=0.03583, over 167.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3504, pruned_loss=0.1017, over 2491966.27 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07571, over 42748.90 utterances.], batch size: 167, lr: 1.63e-04
+2022-09-19 15:12:12,622 INFO [train.py:885] (0/2) Epoch 29, batch 500, loss[loss=0.2978, simple_loss=0.368, pruned_loss=0.1137, over 14260.00 frames. utt_duration=219.1 frames, utt_pad_proportion=0.04322, over 262.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3483, pruned_loss=0.102, over 2551008.92 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07619, over 42500.28 utterances.], batch size: 262, lr: 1.63e-04
+2022-09-19 15:12:41,953 INFO [train.py:885] (0/2) Epoch 29, batch 550, loss[loss=0.2786, simple_loss=0.3538, pruned_loss=0.1017, over 14261.00 frames. utt_duration=372.1 frames, utt_pad_proportion=0.04342, over 154.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3455, pruned_loss=0.09998, over 2601751.40 frames. utt_duration=248 frames, utt_pad_proportion=0.07482, over 42208.88 utterances.], batch size: 154, lr: 1.63e-04
+2022-09-19 15:13:11,545 INFO [train.py:885] (0/2) Epoch 29, batch 600, loss[loss=0.2115, simple_loss=0.2841, pruned_loss=0.06942, over 14209.00 frames. utt_duration=640.2 frames, utt_pad_proportion=0.04447, over 89.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3443, pruned_loss=0.09932, over 2639799.37 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07352, over 42397.94 utterances.], batch size: 89, lr: 1.63e-04
+2022-09-19 15:13:40,752 INFO [train.py:885] (0/2) Epoch 29, batch 650, loss[loss=0.23, simple_loss=0.3175, pruned_loss=0.07124, over 14279.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.04329, over 141.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3459, pruned_loss=0.09969, over 2670020.08 frames. utt_duration=243.6 frames, utt_pad_proportion=0.0744, over 44110.27 utterances.], batch size: 141, lr: 1.63e-04
+2022-09-19 15:14:11,257 INFO [train.py:885] (0/2) Epoch 29, batch 700, loss[loss=0.1623, simple_loss=0.2141, pruned_loss=0.0552, over 13104.00 frames. utt_duration=1589 frames, utt_pad_proportion=0.1165, over 33.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.343, pruned_loss=0.09877, over 2695127.79 frames. utt_duration=249 frames, utt_pad_proportion=0.07247, over 43555.34 utterances.], batch size: 33, lr: 1.63e-04
+2022-09-19 15:14:40,388 INFO [train.py:885] (0/2) Epoch 29, batch 750, loss[loss=0.3435, simple_loss=0.4067, pruned_loss=0.1402, over 14343.00 frames. utt_duration=220.4 frames, utt_pad_proportion=0.0377, over 262.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3427, pruned_loss=0.09787, over 2716108.07 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07079, over 43917.58 utterances.], batch size: 262, lr: 1.63e-04
+2022-09-19 15:15:10,762 INFO [train.py:885] (0/2) Epoch 29, batch 800, loss[loss=0.293, simple_loss=0.3694, pruned_loss=0.1083, over 14352.00 frames. utt_duration=220.5 frames, utt_pad_proportion=0.03702, over 262.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3473, pruned_loss=0.1005, over 2732232.48 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07118, over 45740.81 utterances.], batch size: 262, lr: 1.63e-04
+2022-09-19 15:15:40,304 INFO [train.py:885] (0/2) Epoch 29, batch 850, loss[loss=0.1843, simple_loss=0.2602, pruned_loss=0.05425, over 13421.00 frames. utt_duration=1075 frames, utt_pad_proportion=0.09119, over 50.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.35, pruned_loss=0.1018, over 2738759.26 frames. utt_duration=233.8 frames, utt_pad_proportion=0.07232, over 47163.66 utterances.], batch size: 50, lr: 1.63e-04
+2022-09-19 15:16:09,920 INFO [train.py:885] (0/2) Epoch 29, batch 900, loss[loss=0.1901, simple_loss=0.2682, pruned_loss=0.05605, over 13214.00 frames. utt_duration=1603 frames, utt_pad_proportion=0.1134, over 33.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.35, pruned_loss=0.1017, over 2748586.72 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07265, over 46566.41 utterances.], batch size: 33, lr: 1.63e-04
+2022-09-19 15:16:39,121 INFO [train.py:885] (0/2) Epoch 29, batch 950, loss[loss=0.2987, simple_loss=0.3978, pruned_loss=0.09976, over 13784.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07053, over 411.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3424, pruned_loss=0.09758, over 2753497.48 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07155, over 44009.17 utterances.], batch size: 411, lr: 1.63e-04
+2022-09-19 15:17:08,548 INFO [train.py:885] (0/2) Epoch 29, batch 1000, loss[loss=0.1769, simple_loss=0.247, pruned_loss=0.05339, over 13980.00 frames. utt_duration=811.8 frames, utt_pad_proportion=0.0538, over 69.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3425, pruned_loss=0.09675, over 2761519.20 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07136, over 44495.35 utterances.], batch size: 69, lr: 1.63e-04
+2022-09-19 15:17:37,625 INFO [train.py:885] (0/2) Epoch 29, batch 1050, loss[loss=0.3625, simple_loss=0.4175, pruned_loss=0.1538, over 14324.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03858, over 262.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3445, pruned_loss=0.09751, over 2765855.24 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07214, over 45282.59 utterances.], batch size: 262, lr: 1.63e-04
+2022-09-19 15:18:07,285 INFO [train.py:885] (0/2) Epoch 29, batch 1100, loss[loss=0.1784, simple_loss=0.2526, pruned_loss=0.05214, over 13853.00 frames. utt_duration=804.7 frames, utt_pad_proportion=0.06327, over 69.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3473, pruned_loss=0.09881, over 2775446.14 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07008, over 46113.95 utterances.], batch size: 69, lr: 1.63e-04
+2022-09-19 15:18:36,414 INFO [train.py:885] (0/2) Epoch 29, batch 1150, loss[loss=0.2468, simple_loss=0.3286, pruned_loss=0.08255, over 14363.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.03805, over 167.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3494, pruned_loss=0.1003, over 2776598.02 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07176, over 46817.66 utterances.], batch size: 167, lr: 1.63e-04
+2022-09-19 15:19:06,013 INFO [train.py:885] (0/2) Epoch 29, batch 1200, loss[loss=0.5265, simple_loss=0.6075, pruned_loss=0.2227, over 12475.00 frames. utt_duration=63.22 frames, utt_pad_proportion=0.1457, over 810.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.349, pruned_loss=0.1004, over 2775942.03 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07384, over 45824.60 utterances.], batch size: 810, lr: 1.63e-04
+2022-09-19 15:19:35,359 INFO [train.py:885] (0/2) Epoch 29, batch 1250, loss[loss=0.3225, simple_loss=0.3894, pruned_loss=0.1278, over 14186.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.0456, over 306.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3456, pruned_loss=0.09904, over 2775058.55 frames. utt_duration=250 frames, utt_pad_proportion=0.07335, over 44671.91 utterances.], batch size: 306, lr: 1.63e-04
+2022-09-19 15:20:04,632 INFO [train.py:885] (0/2) Epoch 29, batch 1300, loss[loss=0.1975, simple_loss=0.2804, pruned_loss=0.05728, over 14207.00 frames. utt_duration=522.8 frames, utt_pad_proportion=0.04246, over 109.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3474, pruned_loss=0.0992, over 2779252.71 frames. utt_duration=243.6 frames, utt_pad_proportion=0.0733, over 45912.50 utterances.], batch size: 109, lr: 1.63e-04
+2022-09-19 15:20:34,369 INFO [train.py:885] (0/2) Epoch 29, batch 1350, loss[loss=0.3902, simple_loss=0.4291, pruned_loss=0.1757, over 14264.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04094, over 225.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3479, pruned_loss=0.09938, over 2780757.85 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07228, over 46421.20 utterances.], batch size: 225, lr: 1.63e-04
+2022-09-19 15:21:04,411 INFO [train.py:885] (0/2) Epoch 29, batch 1400, loss[loss=0.32, simple_loss=0.3797, pruned_loss=0.1302, over 14335.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03737, over 195.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3463, pruned_loss=0.09876, over 2781096.13 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07233, over 46020.48 utterances.], batch size: 195, lr: 1.63e-04
+2022-09-19 15:21:41,461 INFO [train.py:885] (0/2) Epoch 29, batch 1450, loss[loss=0.2897, simple_loss=0.3442, pruned_loss=0.1176, over 14303.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.04004, over 120.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3486, pruned_loss=0.1, over 2782135.19 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07306, over 46576.10 utterances.], batch size: 120, lr: 1.63e-04
+2022-09-19 15:22:10,922 INFO [train.py:885] (0/2) Epoch 29, batch 1500, loss[loss=0.51, simple_loss=0.6006, pruned_loss=0.2097, over 12441.00 frames. utt_duration=63.06 frames, utt_pad_proportion=0.1479, over 810.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3471, pruned_loss=0.09948, over 2786614.03 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07071, over 45834.67 utterances.], batch size: 810, lr: 1.63e-04
+2022-09-19 15:22:41,023 INFO [train.py:885] (0/2) Epoch 29, batch 1550, loss[loss=0.1685, simple_loss=0.2299, pruned_loss=0.05352, over 14084.00 frames. utt_duration=806.1 frames, utt_pad_proportion=0.05831, over 70.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.345, pruned_loss=0.09837, over 2786164.27 frames. utt_duration=247 frames, utt_pad_proportion=0.06945, over 45389.84 utterances.], batch size: 70, lr: 1.63e-04
+2022-09-19 15:23:10,170 INFO [train.py:885] (0/2) Epoch 29, batch 1600, loss[loss=0.4723, simple_loss=0.5646, pruned_loss=0.19, over 12445.00 frames. utt_duration=63 frames, utt_pad_proportion=0.1487, over 811.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3448, pruned_loss=0.09861, over 2779948.18 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07212, over 45224.54 utterances.], batch size: 811, lr: 1.63e-04
+2022-09-19 15:23:39,303 INFO [train.py:885] (0/2) Epoch 29, batch 1650, loss[loss=0.3087, simple_loss=0.3994, pruned_loss=0.109, over 13811.00 frames. utt_duration=136 frames, utt_pad_proportion=0.06851, over 411.00 utterances.], tot_loss[loss=0.267, simple_loss=0.341, pruned_loss=0.09648, over 2779665.99 frames. utt_duration=253.3 frames, utt_pad_proportion=0.07202, over 44146.26 utterances.], batch size: 411, lr: 1.63e-04
+2022-09-19 15:24:09,011 INFO [train.py:885] (0/2) Epoch 29, batch 1700, loss[loss=0.3528, simple_loss=0.415, pruned_loss=0.1453, over 14188.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04495, over 306.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3425, pruned_loss=0.09715, over 2785676.46 frames. utt_duration=251.7 frames, utt_pad_proportion=0.06884, over 44527.56 utterances.], batch size: 306, lr: 1.63e-04
+2022-09-19 15:24:39,156 INFO [train.py:885] (0/2) Epoch 29, batch 1750, loss[loss=0.2175, simple_loss=0.297, pruned_loss=0.06906, over 14283.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.03905, over 130.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3436, pruned_loss=0.09819, over 2783814.63 frames. utt_duration=251.9 frames, utt_pad_proportion=0.06968, over 44456.74 utterances.], batch size: 130, lr: 1.63e-04
+2022-09-19 15:25:08,194 INFO [train.py:885] (0/2) Epoch 29, batch 1800, loss[loss=0.2826, simple_loss=0.3668, pruned_loss=0.09924, over 14337.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03686, over 210.00 utterances.], tot_loss[loss=0.267, simple_loss=0.341, pruned_loss=0.09652, over 2789393.36 frames. utt_duration=259 frames, utt_pad_proportion=0.06716, over 43328.06 utterances.], batch size: 210, lr: 1.63e-04
+2022-09-19 15:25:37,959 INFO [train.py:885] (0/2) Epoch 29, batch 1850, loss[loss=0.2669, simple_loss=0.3733, pruned_loss=0.08022, over 13763.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07224, over 411.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.34, pruned_loss=0.0958, over 2784769.88 frames. utt_duration=258 frames, utt_pad_proportion=0.06769, over 43422.39 utterances.], batch size: 411, lr: 1.63e-04
+2022-09-19 15:26:07,089 INFO [train.py:885] (0/2) Epoch 29, batch 1900, loss[loss=0.1754, simple_loss=0.2518, pruned_loss=0.04952, over 13801.00 frames. utt_duration=921.5 frames, utt_pad_proportion=0.07392, over 60.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.3421, pruned_loss=0.09617, over 2781047.98 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07035, over 45029.97 utterances.], batch size: 60, lr: 1.63e-04
+2022-09-19 15:26:37,221 INFO [train.py:885] (0/2) Epoch 29, batch 1950, loss[loss=0.265, simple_loss=0.3404, pruned_loss=0.0948, over 14206.00 frames. utt_duration=404.5 frames, utt_pad_proportion=0.04834, over 141.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.342, pruned_loss=0.09573, over 2780476.60 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07084, over 45087.00 utterances.], batch size: 141, lr: 1.63e-04
+2022-09-19 15:27:06,585 INFO [train.py:885] (0/2) Epoch 29, batch 2000, loss[loss=0.4779, simple_loss=0.5769, pruned_loss=0.1894, over 12501.00 frames. utt_duration=63.3 frames, utt_pad_proportion=0.1445, over 810.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3498, pruned_loss=0.09992, over 2783005.31 frames. utt_duration=236 frames, utt_pad_proportion=0.07162, over 47470.15 utterances.], batch size: 810, lr: 1.63e-04
+2022-09-19 15:27:36,183 INFO [train.py:885] (0/2) Epoch 29, batch 2050, loss[loss=0.2605, simple_loss=0.3413, pruned_loss=0.08983, over 14300.00 frames. utt_duration=343.9 frames, utt_pad_proportion=0.04218, over 167.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.351, pruned_loss=0.1004, over 2782839.47 frames. utt_duration=232.7 frames, utt_pad_proportion=0.07237, over 48144.77 utterances.], batch size: 167, lr: 1.63e-04
+2022-09-19 15:28:05,109 INFO [train.py:885] (0/2) Epoch 29, batch 2100, loss[loss=0.3229, simple_loss=0.3665, pruned_loss=0.1396, over 14058.00 frames. utt_duration=575.3 frames, utt_pad_proportion=0.05528, over 98.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3442, pruned_loss=0.0973, over 2785082.45 frames. utt_duration=247.9 frames, utt_pad_proportion=0.06964, over 45202.62 utterances.], batch size: 98, lr: 1.63e-04
+2022-09-19 15:28:35,207 INFO [train.py:885] (0/2) Epoch 29, batch 2150, loss[loss=0.1451, simple_loss=0.205, pruned_loss=0.04258, over 13792.00 frames. utt_duration=1315 frames, utt_pad_proportion=0.07131, over 42.00 utterances.], tot_loss[loss=0.267, simple_loss=0.3423, pruned_loss=0.0958, over 2782488.46 frames. utt_duration=245.1 frames, utt_pad_proportion=0.0708, over 45694.75 utterances.], batch size: 42, lr: 1.63e-04
+2022-09-19 15:29:04,057 INFO [train.py:885] (0/2) Epoch 29, batch 2200, loss[loss=0.1992, simple_loss=0.2719, pruned_loss=0.06327, over 13864.00 frames. utt_duration=805 frames, utt_pad_proportion=0.06286, over 69.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3456, pruned_loss=0.098, over 2783232.15 frames. utt_duration=241 frames, utt_pad_proportion=0.07119, over 46480.61 utterances.], batch size: 69, lr: 1.63e-04
+2022-09-19 15:29:34,015 INFO [train.py:885] (0/2) Epoch 29, batch 2250, loss[loss=0.2905, simple_loss=0.3407, pruned_loss=0.1201, over 14163.00 frames. utt_duration=521.4 frames, utt_pad_proportion=0.04336, over 109.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3462, pruned_loss=0.09879, over 2786316.98 frames. utt_duration=241.7 frames, utt_pad_proportion=0.06965, over 46399.64 utterances.], batch size: 109, lr: 1.63e-04
+2022-09-19 15:30:03,239 INFO [train.py:885] (0/2) Epoch 29, batch 2300, loss[loss=0.2942, simple_loss=0.3929, pruned_loss=0.09773, over 13811.00 frames. utt_duration=136 frames, utt_pad_proportion=0.06873, over 411.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3444, pruned_loss=0.09813, over 2781464.79 frames. utt_duration=246 frames, utt_pad_proportion=0.07071, over 45499.40 utterances.], batch size: 411, lr: 1.63e-04
+2022-09-19 15:30:32,805 INFO [train.py:885] (0/2) Epoch 29, batch 2350, loss[loss=0.3543, simple_loss=0.464, pruned_loss=0.1223, over 13182.00 frames. utt_duration=82.29 frames, utt_pad_proportion=0.1055, over 653.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3466, pruned_loss=0.09868, over 2782877.30 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07108, over 46440.85 utterances.], batch size: 653, lr: 1.63e-04
+2022-09-19 15:31:01,907 INFO [train.py:885] (0/2) Epoch 29, batch 2400, loss[loss=0.3066, simple_loss=0.3822, pruned_loss=0.1155, over 14380.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03183, over 244.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3473, pruned_loss=0.09917, over 2785245.34 frames. utt_duration=244.3 frames, utt_pad_proportion=0.06923, over 45889.61 utterances.], batch size: 244, lr: 1.63e-04
+2022-09-19 15:31:31,982 INFO [train.py:885] (0/2) Epoch 29, batch 2450, loss[loss=0.1761, simple_loss=0.2439, pruned_loss=0.05414, over 14002.00 frames. utt_duration=710.4 frames, utt_pad_proportion=0.05531, over 79.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3465, pruned_loss=0.09848, over 2785177.63 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07017, over 46040.97 utterances.], batch size: 79, lr: 1.63e-04
+2022-09-19 15:32:01,211 INFO [train.py:885] (0/2) Epoch 29, batch 2500, loss[loss=0.2272, simple_loss=0.3045, pruned_loss=0.07494, over 14258.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04511, over 141.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3454, pruned_loss=0.0972, over 2787369.95 frames. utt_duration=243.8 frames, utt_pad_proportion=0.06865, over 46014.67 utterances.], batch size: 141, lr: 1.63e-04
+2022-09-19 15:32:31,101 INFO [train.py:885] (0/2) Epoch 29, batch 2550, loss[loss=0.2725, simple_loss=0.3562, pruned_loss=0.0944, over 14383.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03167, over 244.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3456, pruned_loss=0.09809, over 2781220.02 frames. utt_duration=242.4 frames, utt_pad_proportion=0.06983, over 46168.58 utterances.], batch size: 244, lr: 1.63e-04
+2022-09-19 15:33:01,688 INFO [train.py:885] (0/2) Epoch 29, batch 2600, loss[loss=0.2637, simple_loss=0.3548, pruned_loss=0.08633, over 14402.00 frames. utt_duration=237.5 frames, utt_pad_proportion=0.03041, over 244.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3464, pruned_loss=0.09862, over 2780272.00 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07088, over 46324.80 utterances.], batch size: 244, lr: 1.63e-04
+2022-09-19 15:33:25,478 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-356000.pt
+2022-09-19 15:33:31,642 INFO [train.py:885] (0/2) Epoch 29, batch 2650, loss[loss=0.2536, simple_loss=0.3261, pruned_loss=0.09059, over 14321.00 frames. utt_duration=442 frames, utt_pad_proportion=0.03705, over 130.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3488, pruned_loss=0.09953, over 2777423.22 frames. utt_duration=236 frames, utt_pad_proportion=0.07269, over 47370.00 utterances.], batch size: 130, lr: 1.63e-04
+2022-09-19 15:34:00,452 INFO [train.py:885] (0/2) Epoch 29, batch 2700, loss[loss=0.3389, simple_loss=0.4275, pruned_loss=0.1251, over 13764.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07236, over 411.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3453, pruned_loss=0.09834, over 2778518.75 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07104, over 46187.75 utterances.], batch size: 411, lr: 1.63e-04
+2022-09-19 15:34:30,080 INFO [train.py:885] (0/2) Epoch 29, batch 2750, loss[loss=0.3639, simple_loss=0.4213, pruned_loss=0.1533, over 14251.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04256, over 335.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3435, pruned_loss=0.0979, over 2776794.02 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07143, over 45372.38 utterances.], batch size: 335, lr: 1.63e-04
+2022-09-19 15:34:59,967 INFO [train.py:885] (0/2) Epoch 29, batch 2800, loss[loss=0.2043, simple_loss=0.2878, pruned_loss=0.06035, over 13996.00 frames. utt_duration=572.7 frames, utt_pad_proportion=0.05963, over 98.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3454, pruned_loss=0.09873, over 2779819.79 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07111, over 46006.90 utterances.], batch size: 98, lr: 1.63e-04
+2022-09-19 15:35:28,833 INFO [train.py:885] (0/2) Epoch 29, batch 2850, loss[loss=0.2987, simple_loss=0.4046, pruned_loss=0.09637, over 13689.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07817, over 477.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3458, pruned_loss=0.09933, over 2778134.47 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07066, over 45888.75 utterances.], batch size: 477, lr: 1.63e-04
+2022-09-19 15:35:58,237 INFO [train.py:885] (0/2) Epoch 29, batch 2900, loss[loss=0.3317, simple_loss=0.4259, pruned_loss=0.1187, over 13720.00 frames. utt_duration=116.5 frames, utt_pad_proportion=0.07555, over 477.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3502, pruned_loss=0.1012, over 2779121.62 frames. utt_duration=233.9 frames, utt_pad_proportion=0.07192, over 47832.46 utterances.], batch size: 477, lr: 1.63e-04
+2022-09-19 15:36:27,267 INFO [train.py:885] (0/2) Epoch 29, batch 2950, loss[loss=0.1662, simple_loss=0.2453, pruned_loss=0.04351, over 13975.00 frames. utt_duration=708.9 frames, utt_pad_proportion=0.0573, over 79.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3479, pruned_loss=0.1005, over 2781796.27 frames. utt_duration=240.7 frames, utt_pad_proportion=0.06978, over 46504.94 utterances.], batch size: 79, lr: 1.63e-04
+2022-09-19 15:36:57,361 INFO [train.py:885] (0/2) Epoch 29, batch 3000, loss[loss=0.2339, simple_loss=0.3071, pruned_loss=0.08038, over 14197.00 frames. utt_duration=522.4 frames, utt_pad_proportion=0.04317, over 109.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3491, pruned_loss=0.1003, over 2772119.93 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07344, over 47750.74 utterances.], batch size: 109, lr: 1.63e-04
+2022-09-19 15:36:57,363 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 15:37:01,541 INFO [train.py:914] (0/2) Epoch 29, validation: loss=0.1944, simple_loss=0.2747, pruned_loss=0.05709, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 15:37:31,031 INFO [train.py:885] (0/2) Epoch 29, batch 3050, loss[loss=0.2666, simple_loss=0.331, pruned_loss=0.1012, over 14308.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.03794, over 154.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3449, pruned_loss=0.09864, over 2778552.73 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07085, over 45542.79 utterances.], batch size: 154, lr: 1.63e-04
+2022-09-19 15:38:00,910 INFO [train.py:885] (0/2) Epoch 29, batch 3100, loss[loss=0.2573, simple_loss=0.3235, pruned_loss=0.09558, over 14097.00 frames. utt_duration=576.7 frames, utt_pad_proportion=0.05458, over 98.00 utterances.], tot_loss[loss=0.2663, simple_loss=0.3399, pruned_loss=0.0964, over 2777759.78 frames. utt_duration=256.8 frames, utt_pad_proportion=0.06896, over 43515.57 utterances.], batch size: 98, lr: 1.63e-04
+2022-09-19 15:38:30,960 INFO [train.py:885] (0/2) Epoch 29, batch 3150, loss[loss=0.277, simple_loss=0.3565, pruned_loss=0.09879, over 14269.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04075, over 225.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.3417, pruned_loss=0.09692, over 2785029.93 frames. utt_duration=254.6 frames, utt_pad_proportion=0.06839, over 44015.14 utterances.], batch size: 225, lr: 1.63e-04
+2022-09-19 15:39:01,158 INFO [train.py:885] (0/2) Epoch 29, batch 3200, loss[loss=0.1875, simple_loss=0.2583, pruned_loss=0.05835, over 13499.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.0842, over 50.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3435, pruned_loss=0.09756, over 2779874.15 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07161, over 46097.57 utterances.], batch size: 50, lr: 1.63e-04
+2022-09-19 15:39:29,889 INFO [train.py:885] (0/2) Epoch 29, batch 3250, loss[loss=0.2487, simple_loss=0.3177, pruned_loss=0.08989, over 14222.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.04723, over 141.00 utterances.], tot_loss[loss=0.2666, simple_loss=0.3407, pruned_loss=0.09629, over 2778597.89 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07274, over 44664.09 utterances.], batch size: 141, lr: 1.63e-04
+2022-09-19 15:39:59,489 INFO [train.py:885] (0/2) Epoch 29, batch 3300, loss[loss=0.1982, simple_loss=0.2554, pruned_loss=0.07046, over 13930.00 frames. utt_duration=930.1 frames, utt_pad_proportion=0.06523, over 60.00 utterances.], tot_loss[loss=0.2653, simple_loss=0.3396, pruned_loss=0.09553, over 2780616.55 frames. utt_duration=252.3 frames, utt_pad_proportion=0.07152, over 44348.33 utterances.], batch size: 60, lr: 1.63e-04
+2022-09-19 15:40:28,973 INFO [train.py:885] (0/2) Epoch 29, batch 3350, loss[loss=0.2672, simple_loss=0.3471, pruned_loss=0.09366, over 14263.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.04073, over 180.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.3416, pruned_loss=0.09657, over 2783547.72 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07179, over 44734.92 utterances.], batch size: 180, lr: 1.63e-04
+2022-09-19 15:40:58,327 INFO [train.py:885] (0/2) Epoch 29, batch 3400, loss[loss=0.2805, simple_loss=0.3597, pruned_loss=0.1007, over 14335.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03778, over 262.00 utterances.], tot_loss[loss=0.2656, simple_loss=0.3399, pruned_loss=0.09563, over 2784453.26 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07249, over 44253.11 utterances.], batch size: 262, lr: 1.63e-04
+2022-09-19 15:41:27,616 INFO [train.py:885] (0/2) Epoch 29, batch 3450, loss[loss=0.3546, simple_loss=0.4573, pruned_loss=0.1259, over 13134.00 frames. utt_duration=81.97 frames, utt_pad_proportion=0.109, over 653.00 utterances.], tot_loss[loss=0.2651, simple_loss=0.3392, pruned_loss=0.09554, over 2785918.77 frames. utt_duration=256.8 frames, utt_pad_proportion=0.07004, over 43642.30 utterances.], batch size: 653, lr: 1.63e-04
+2022-09-19 15:41:57,365 INFO [train.py:885] (0/2) Epoch 29, batch 3500, loss[loss=0.2475, simple_loss=0.3268, pruned_loss=0.08412, over 14267.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.04414, over 141.00 utterances.], tot_loss[loss=0.265, simple_loss=0.3393, pruned_loss=0.0954, over 2790117.23 frames. utt_duration=259.8 frames, utt_pad_proportion=0.06915, over 43201.14 utterances.], batch size: 141, lr: 1.63e-04
+2022-09-19 15:42:27,101 INFO [train.py:885] (0/2) Epoch 29, batch 3550, loss[loss=0.3105, simple_loss=0.4116, pruned_loss=0.1047, over 13601.00 frames. utt_duration=98.49 frames, utt_pad_proportion=0.07952, over 560.00 utterances.], tot_loss[loss=0.2653, simple_loss=0.3395, pruned_loss=0.09557, over 2786765.41 frames. utt_duration=257 frames, utt_pad_proportion=0.06985, over 43626.90 utterances.], batch size: 560, lr: 1.63e-04
+2022-09-19 15:42:56,538 INFO [train.py:885] (0/2) Epoch 29, batch 3600, loss[loss=0.2532, simple_loss=0.3557, pruned_loss=0.07539, over 14005.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05583, over 365.00 utterances.], tot_loss[loss=0.2647, simple_loss=0.339, pruned_loss=0.09519, over 2786893.71 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06969, over 43605.09 utterances.], batch size: 365, lr: 1.63e-04
+2022-09-19 15:43:25,640 INFO [train.py:885] (0/2) Epoch 29, batch 3650, loss[loss=0.1828, simple_loss=0.2626, pruned_loss=0.05155, over 14053.00 frames. utt_duration=804.7 frames, utt_pad_proportion=0.06099, over 70.00 utterances.], tot_loss[loss=0.2652, simple_loss=0.3391, pruned_loss=0.09565, over 2786302.57 frames. utt_duration=261.1 frames, utt_pad_proportion=0.06913, over 42930.45 utterances.], batch size: 70, lr: 1.63e-04
+2022-09-19 15:43:55,411 INFO [train.py:885] (0/2) Epoch 29, batch 3700, loss[loss=0.2217, simple_loss=0.2964, pruned_loss=0.07349, over 14172.00 frames. utt_duration=521.7 frames, utt_pad_proportion=0.04451, over 109.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.3413, pruned_loss=0.09679, over 2788035.73 frames. utt_duration=256.3 frames, utt_pad_proportion=0.06959, over 43769.49 utterances.], batch size: 109, lr: 1.62e-04
+2022-09-19 15:44:24,966 INFO [train.py:885] (0/2) Epoch 29, batch 3750, loss[loss=0.3167, simple_loss=0.3792, pruned_loss=0.1271, over 14335.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03961, over 167.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3425, pruned_loss=0.098, over 2788693.91 frames. utt_duration=255.9 frames, utt_pad_proportion=0.06818, over 43837.43 utterances.], batch size: 167, lr: 1.62e-04
+2022-09-19 15:44:55,065 INFO [train.py:885] (0/2) Epoch 29, batch 3800, loss[loss=0.292, simple_loss=0.3686, pruned_loss=0.1077, over 14294.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.04032, over 283.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3499, pruned_loss=0.1012, over 2783710.40 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07204, over 47427.65 utterances.], batch size: 283, lr: 1.62e-04
+2022-09-19 15:45:24,187 INFO [train.py:885] (0/2) Epoch 29, batch 3850, loss[loss=0.2776, simple_loss=0.3432, pruned_loss=0.106, over 14320.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.0372, over 130.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3486, pruned_loss=0.1002, over 2787296.34 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07159, over 47006.37 utterances.], batch size: 130, lr: 1.62e-04
+2022-09-19 15:45:53,851 INFO [train.py:885] (0/2) Epoch 29, batch 3900, loss[loss=0.3848, simple_loss=0.4344, pruned_loss=0.1676, over 14243.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04247, over 335.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3446, pruned_loss=0.09854, over 2789035.71 frames. utt_duration=251.3 frames, utt_pad_proportion=0.06884, over 44656.37 utterances.], batch size: 335, lr: 1.62e-04
+2022-09-19 15:46:23,628 INFO [train.py:885] (0/2) Epoch 29, batch 3950, loss[loss=0.2437, simple_loss=0.3151, pruned_loss=0.08616, over 14290.00 frames. utt_duration=441.3 frames, utt_pad_proportion=0.03851, over 130.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3414, pruned_loss=0.09677, over 2787254.07 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06859, over 44089.25 utterances.], batch size: 130, lr: 1.62e-04
+2022-09-19 15:46:52,513 INFO [train.py:885] (0/2) Epoch 29, batch 4000, loss[loss=0.2735, simple_loss=0.3462, pruned_loss=0.1004, over 14377.00 frames. utt_duration=345.7 frames, utt_pad_proportion=0.03691, over 167.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3419, pruned_loss=0.09739, over 2789904.26 frames. utt_duration=257.7 frames, utt_pad_proportion=0.06621, over 43547.00 utterances.], batch size: 167, lr: 1.62e-04
+2022-09-19 15:47:22,093 INFO [train.py:885] (0/2) Epoch 29, batch 4050, loss[loss=0.2804, simple_loss=0.3608, pruned_loss=0.1, over 14352.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03396, over 244.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3408, pruned_loss=0.09645, over 2789180.52 frames. utt_duration=258.3 frames, utt_pad_proportion=0.06584, over 43433.68 utterances.], batch size: 244, lr: 1.62e-04
+2022-09-19 15:47:51,345 INFO [train.py:885] (0/2) Epoch 29, batch 4100, loss[loss=0.2158, simple_loss=0.291, pruned_loss=0.07031, over 14187.00 frames. utt_duration=639.2 frames, utt_pad_proportion=0.0459, over 89.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3408, pruned_loss=0.09606, over 2786683.92 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06745, over 44175.64 utterances.], batch size: 89, lr: 1.62e-04
+2022-09-19 15:48:20,893 INFO [train.py:885] (0/2) Epoch 29, batch 4150, loss[loss=0.217, simple_loss=0.278, pruned_loss=0.07799, over 14159.00 frames. utt_duration=573.5 frames, utt_pad_proportion=0.05361, over 99.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3441, pruned_loss=0.09813, over 2786395.35 frames. utt_duration=248 frames, utt_pad_proportion=0.06864, over 45219.88 utterances.], batch size: 99, lr: 1.62e-04
+2022-09-19 15:48:50,086 INFO [train.py:885] (0/2) Epoch 29, batch 4200, loss[loss=0.1949, simple_loss=0.2754, pruned_loss=0.05719, over 14190.00 frames. utt_duration=639 frames, utt_pad_proportion=0.04909, over 89.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3454, pruned_loss=0.09903, over 2785557.91 frames. utt_duration=244.5 frames, utt_pad_proportion=0.06979, over 45855.21 utterances.], batch size: 89, lr: 1.62e-04
+2022-09-19 15:49:19,714 INFO [train.py:885] (0/2) Epoch 29, batch 4250, loss[loss=0.2978, simple_loss=0.3976, pruned_loss=0.09896, over 13661.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07938, over 477.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3475, pruned_loss=0.1004, over 2788253.07 frames. utt_duration=244.3 frames, utt_pad_proportion=0.06924, over 45925.57 utterances.], batch size: 477, lr: 1.62e-04
+2022-09-19 15:49:49,166 INFO [train.py:885] (0/2) Epoch 29, batch 4300, loss[loss=0.2862, simple_loss=0.3566, pruned_loss=0.108, over 14302.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03827, over 180.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3474, pruned_loss=0.09975, over 2787241.91 frames. utt_duration=241.3 frames, utt_pad_proportion=0.06967, over 46478.33 utterances.], batch size: 180, lr: 1.62e-04
+2022-09-19 15:50:18,911 INFO [train.py:885] (0/2) Epoch 29, batch 4350, loss[loss=0.3026, simple_loss=0.3873, pruned_loss=0.1089, over 13968.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05763, over 365.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3477, pruned_loss=0.09936, over 2784772.36 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07186, over 46990.80 utterances.], batch size: 365, lr: 1.62e-04
+2022-09-19 15:50:48,105 INFO [train.py:885] (0/2) Epoch 29, batch 4400, loss[loss=0.189, simple_loss=0.2579, pruned_loss=0.05998, over 13872.00 frames. utt_duration=926.4 frames, utt_pad_proportion=0.06891, over 60.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3444, pruned_loss=0.09794, over 2788813.88 frames. utt_duration=248.5 frames, utt_pad_proportion=0.06976, over 45150.04 utterances.], batch size: 60, lr: 1.62e-04
+2022-09-19 15:51:17,350 INFO [train.py:885] (0/2) Epoch 29, batch 4450, loss[loss=0.2381, simple_loss=0.3164, pruned_loss=0.07992, over 14293.00 frames. utt_duration=343.7 frames, utt_pad_proportion=0.04267, over 167.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3445, pruned_loss=0.09711, over 2784631.27 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07169, over 46015.29 utterances.], batch size: 167, lr: 1.62e-04
+2022-09-19 15:51:46,728 INFO [train.py:885] (0/2) Epoch 29, batch 4500, loss[loss=0.3038, simple_loss=0.357, pruned_loss=0.1253, over 14206.00 frames. utt_duration=522.9 frames, utt_pad_proportion=0.04234, over 109.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.342, pruned_loss=0.09683, over 2783171.08 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07137, over 44654.95 utterances.], batch size: 109, lr: 1.62e-04
+2022-09-19 15:52:16,473 INFO [train.py:885] (0/2) Epoch 29, batch 4550, loss[loss=0.217, simple_loss=0.2887, pruned_loss=0.07266, over 14124.00 frames. utt_duration=578.2 frames, utt_pad_proportion=0.05214, over 98.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3412, pruned_loss=0.09618, over 2783408.32 frames. utt_duration=252 frames, utt_pad_proportion=0.07113, over 44444.16 utterances.], batch size: 98, lr: 1.62e-04
+2022-09-19 15:52:46,069 INFO [train.py:885] (0/2) Epoch 29, batch 4600, loss[loss=0.3409, simple_loss=0.4044, pruned_loss=0.1388, over 14224.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04383, over 335.00 utterances.], tot_loss[loss=0.2673, simple_loss=0.3417, pruned_loss=0.09644, over 2781847.29 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07165, over 44879.84 utterances.], batch size: 335, lr: 1.62e-04
+2022-09-19 15:53:15,838 INFO [train.py:885] (0/2) Epoch 29, batch 4650, loss[loss=0.2647, simple_loss=0.341, pruned_loss=0.09414, over 14374.00 frames. utt_duration=374.9 frames, utt_pad_proportion=0.03634, over 154.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3467, pruned_loss=0.09908, over 2788160.43 frames. utt_duration=244.9 frames, utt_pad_proportion=0.06929, over 45816.08 utterances.], batch size: 154, lr: 1.62e-04
+2022-09-19 15:53:45,616 INFO [train.py:885] (0/2) Epoch 29, batch 4700, loss[loss=0.2995, simple_loss=0.4039, pruned_loss=0.09758, over 13687.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07752, over 477.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3463, pruned_loss=0.09974, over 2786041.88 frames. utt_duration=246.3 frames, utt_pad_proportion=0.06842, over 45510.71 utterances.], batch size: 477, lr: 1.62e-04
+2022-09-19 15:54:15,844 INFO [train.py:885] (0/2) Epoch 29, batch 4750, loss[loss=0.4292, simple_loss=0.5416, pruned_loss=0.1584, over 12524.00 frames. utt_duration=63.47 frames, utt_pad_proportion=0.1423, over 810.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3458, pruned_loss=0.09954, over 2782173.29 frames. utt_duration=247 frames, utt_pad_proportion=0.07094, over 45319.72 utterances.], batch size: 810, lr: 1.62e-04
+2022-09-19 15:54:44,324 INFO [train.py:885] (0/2) Epoch 29, batch 4800, loss[loss=0.2644, simple_loss=0.3419, pruned_loss=0.09344, over 14355.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03851, over 167.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3443, pruned_loss=0.09856, over 2781958.71 frames. utt_duration=253 frames, utt_pad_proportion=0.06927, over 44246.36 utterances.], batch size: 167, lr: 1.62e-04
+2022-09-19 15:55:14,072 INFO [train.py:885] (0/2) Epoch 29, batch 4850, loss[loss=0.2602, simple_loss=0.3427, pruned_loss=0.08882, over 14272.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04011, over 180.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3436, pruned_loss=0.09859, over 2778166.14 frames. utt_duration=255 frames, utt_pad_proportion=0.07051, over 43838.03 utterances.], batch size: 180, lr: 1.62e-04
+2022-09-19 15:55:43,205 INFO [train.py:885] (0/2) Epoch 29, batch 4900, loss[loss=0.3246, simple_loss=0.4275, pruned_loss=0.1108, over 13623.00 frames. utt_duration=98.62 frames, utt_pad_proportion=0.07829, over 560.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3423, pruned_loss=0.09747, over 2779658.13 frames. utt_duration=258.1 frames, utt_pad_proportion=0.07089, over 43330.18 utterances.], batch size: 560, lr: 1.62e-04
+2022-09-19 15:56:12,838 INFO [train.py:885] (0/2) Epoch 29, batch 4950, loss[loss=0.2334, simple_loss=0.3061, pruned_loss=0.08032, over 14201.00 frames. utt_duration=639.9 frames, utt_pad_proportion=0.04642, over 89.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3445, pruned_loss=0.09782, over 2781715.88 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06914, over 44681.28 utterances.], batch size: 89, lr: 1.62e-04
+2022-09-19 15:56:42,018 INFO [train.py:885] (0/2) Epoch 29, batch 5000, loss[loss=0.3045, simple_loss=0.3757, pruned_loss=0.1167, over 14322.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03913, over 262.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.346, pruned_loss=0.09925, over 2784529.13 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06911, over 44804.00 utterances.], batch size: 262, lr: 1.62e-04
+2022-09-19 15:57:11,230 INFO [train.py:885] (0/2) Epoch 29, batch 5050, loss[loss=0.2561, simple_loss=0.3031, pruned_loss=0.1045, over 13340.00 frames. utt_duration=1618 frames, utt_pad_proportion=0.09783, over 33.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3442, pruned_loss=0.09834, over 2779574.71 frames. utt_duration=249.4 frames, utt_pad_proportion=0.0697, over 44847.70 utterances.], batch size: 33, lr: 1.62e-04
+2022-09-19 15:57:40,793 INFO [train.py:885] (0/2) Epoch 29, batch 5100, loss[loss=0.3042, simple_loss=0.408, pruned_loss=0.1003, over 13624.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.0813, over 477.00 utterances.], tot_loss[loss=0.271, simple_loss=0.345, pruned_loss=0.09856, over 2778242.81 frames. utt_duration=246 frames, utt_pad_proportion=0.07022, over 45447.63 utterances.], batch size: 477, lr: 1.62e-04
+2022-09-19 15:58:10,455 INFO [train.py:885] (0/2) Epoch 29, batch 5150, loss[loss=0.1606, simple_loss=0.2293, pruned_loss=0.04588, over 13318.00 frames. utt_duration=1301 frames, utt_pad_proportion=0.08978, over 41.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3445, pruned_loss=0.09849, over 2779335.39 frames. utt_duration=249 frames, utt_pad_proportion=0.06985, over 44921.51 utterances.], batch size: 41, lr: 1.62e-04
+2022-09-19 15:58:40,420 INFO [train.py:885] (0/2) Epoch 29, batch 5200, loss[loss=0.3909, simple_loss=0.4891, pruned_loss=0.1464, over 13153.00 frames. utt_duration=82.1 frames, utt_pad_proportion=0.1076, over 653.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3424, pruned_loss=0.0976, over 2777549.28 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06919, over 44120.64 utterances.], batch size: 653, lr: 1.62e-04
+2022-09-19 15:59:10,010 INFO [train.py:885] (0/2) Epoch 29, batch 5250, loss[loss=0.376, simple_loss=0.4397, pruned_loss=0.1561, over 13972.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05773, over 365.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3437, pruned_loss=0.09821, over 2779774.97 frames. utt_duration=250.3 frames, utt_pad_proportion=0.06946, over 44688.78 utterances.], batch size: 365, lr: 1.62e-04
+2022-09-19 15:59:39,183 INFO [train.py:885] (0/2) Epoch 29, batch 5300, loss[loss=0.2542, simple_loss=0.3348, pruned_loss=0.08682, over 14367.00 frames. utt_duration=296.3 frames, utt_pad_proportion=0.03501, over 195.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3434, pruned_loss=0.0977, over 2779356.29 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06918, over 44939.14 utterances.], batch size: 195, lr: 1.62e-04
+2022-09-19 16:00:08,969 INFO [train.py:885] (0/2) Epoch 29, batch 5350, loss[loss=0.3401, simple_loss=0.3997, pruned_loss=0.1402, over 14185.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.0454, over 306.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3414, pruned_loss=0.09772, over 2781106.74 frames. utt_duration=256.1 frames, utt_pad_proportion=0.0674, over 43682.00 utterances.], batch size: 306, lr: 1.62e-04
+2022-09-19 16:00:38,968 INFO [train.py:885] (0/2) Epoch 29, batch 5400, loss[loss=0.2974, simple_loss=0.3691, pruned_loss=0.1129, over 14332.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03769, over 283.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.341, pruned_loss=0.09728, over 2781217.09 frames. utt_duration=254.8 frames, utt_pad_proportion=0.06915, over 43910.36 utterances.], batch size: 283, lr: 1.62e-04
+2022-09-19 16:01:07,780 INFO [train.py:885] (0/2) Epoch 29, batch 5450, loss[loss=0.3155, simple_loss=0.3798, pruned_loss=0.1256, over 14271.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04051, over 180.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3423, pruned_loss=0.09796, over 2780859.58 frames. utt_duration=253.9 frames, utt_pad_proportion=0.07135, over 44069.00 utterances.], batch size: 180, lr: 1.62e-04
+2022-09-19 16:01:37,517 INFO [train.py:885] (0/2) Epoch 29, batch 5500, loss[loss=0.2332, simple_loss=0.3034, pruned_loss=0.08145, over 14121.00 frames. utt_duration=519.7 frames, utt_pad_proportion=0.04817, over 109.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3439, pruned_loss=0.09804, over 2780778.83 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07207, over 45245.39 utterances.], batch size: 109, lr: 1.62e-04
+2022-09-19 16:02:07,299 INFO [train.py:885] (0/2) Epoch 29, batch 5550, loss[loss=0.1717, simple_loss=0.2311, pruned_loss=0.05613, over 13917.00 frames. utt_duration=808.4 frames, utt_pad_proportion=0.05784, over 69.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3428, pruned_loss=0.0972, over 2779301.27 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07295, over 45348.20 utterances.], batch size: 69, lr: 1.62e-04
+2022-09-19 16:02:36,619 INFO [train.py:885] (0/2) Epoch 29, batch 5600, loss[loss=0.2527, simple_loss=0.3551, pruned_loss=0.07513, over 14030.00 frames. utt_duration=155.2 frames, utt_pad_proportion=0.05396, over 365.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3455, pruned_loss=0.09852, over 2780319.72 frames. utt_duration=246 frames, utt_pad_proportion=0.07157, over 45488.24 utterances.], batch size: 365, lr: 1.62e-04
+2022-09-19 16:03:05,802 INFO [train.py:885] (0/2) Epoch 29, batch 5650, loss[loss=0.3113, simple_loss=0.3791, pruned_loss=0.1217, over 14208.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04464, over 335.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3429, pruned_loss=0.09724, over 2783432.91 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06992, over 44720.70 utterances.], batch size: 335, lr: 1.62e-04
+2022-09-19 16:03:35,610 INFO [train.py:885] (0/2) Epoch 29, batch 5700, loss[loss=0.2206, simple_loss=0.3078, pruned_loss=0.06664, over 14205.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.04647, over 141.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3428, pruned_loss=0.09667, over 2780466.05 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07005, over 45238.17 utterances.], batch size: 141, lr: 1.62e-04
+2022-09-19 16:04:04,838 INFO [train.py:885] (0/2) Epoch 29, batch 5750, loss[loss=0.2554, simple_loss=0.3398, pruned_loss=0.08552, over 14318.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03842, over 195.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3449, pruned_loss=0.09809, over 2783276.48 frames. utt_duration=244.2 frames, utt_pad_proportion=0.06954, over 45859.69 utterances.], batch size: 195, lr: 1.62e-04
+2022-09-19 16:04:34,493 INFO [train.py:885] (0/2) Epoch 29, batch 5800, loss[loss=0.2772, simple_loss=0.3567, pruned_loss=0.09883, over 14356.00 frames. utt_duration=296 frames, utt_pad_proportion=0.0358, over 195.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.345, pruned_loss=0.09771, over 2780715.99 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07041, over 46375.80 utterances.], batch size: 195, lr: 1.62e-04
+2022-09-19 16:05:03,353 INFO [train.py:885] (0/2) Epoch 29, batch 5850, loss[loss=0.2209, simple_loss=0.2965, pruned_loss=0.07267, over 14146.00 frames. utt_duration=520.7 frames, utt_pad_proportion=0.04639, over 109.00 utterances.], tot_loss[loss=0.2653, simple_loss=0.3399, pruned_loss=0.09533, over 2779473.89 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06816, over 44225.12 utterances.], batch size: 109, lr: 1.62e-04
+2022-09-19 16:05:40,056 INFO [train.py:885] (0/2) Epoch 29, batch 5900, loss[loss=0.3742, simple_loss=0.4732, pruned_loss=0.1376, over 13183.00 frames. utt_duration=82.28 frames, utt_pad_proportion=0.1056, over 653.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3457, pruned_loss=0.09791, over 2779756.55 frames. utt_duration=238.1 frames, utt_pad_proportion=0.0696, over 46981.03 utterances.], batch size: 653, lr: 1.62e-04
+2022-09-19 16:06:09,727 INFO [train.py:885] (0/2) Epoch 29, batch 5950, loss[loss=0.1299, simple_loss=0.1841, pruned_loss=0.03786, over 12916.00 frames. utt_duration=2068 frames, utt_pad_proportion=0.1378, over 25.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3444, pruned_loss=0.09771, over 2779302.24 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07006, over 45780.30 utterances.], batch size: 25, lr: 1.62e-04
+2022-09-19 16:06:38,728 INFO [train.py:885] (0/2) Epoch 29, batch 6000, loss[loss=0.2462, simple_loss=0.3227, pruned_loss=0.08489, over 14280.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.04272, over 154.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3461, pruned_loss=0.09879, over 2780346.75 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07195, over 46225.36 utterances.], batch size: 154, lr: 1.62e-04
+2022-09-19 16:06:38,730 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 16:06:42,915 INFO [train.py:914] (0/2) Epoch 29, validation: loss=0.1954, simple_loss=0.2753, pruned_loss=0.0577, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 16:07:12,709 INFO [train.py:885] (0/2) Epoch 29, batch 6050, loss[loss=0.262, simple_loss=0.3708, pruned_loss=0.07661, over 13685.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07797, over 477.00 utterances.], tot_loss[loss=0.2673, simple_loss=0.3417, pruned_loss=0.09648, over 2777947.51 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07348, over 45335.02 utterances.], batch size: 477, lr: 1.62e-04
+2022-09-19 16:07:41,864 INFO [train.py:885] (0/2) Epoch 29, batch 6100, loss[loss=0.3131, simple_loss=0.3822, pruned_loss=0.122, over 14252.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.0412, over 306.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3455, pruned_loss=0.09879, over 2782189.71 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07231, over 45655.60 utterances.], batch size: 306, lr: 1.62e-04
+2022-09-19 16:08:11,370 INFO [train.py:885] (0/2) Epoch 29, batch 6150, loss[loss=0.3704, simple_loss=0.4224, pruned_loss=0.1592, over 14213.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04386, over 335.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3439, pruned_loss=0.09765, over 2783721.60 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07001, over 44943.12 utterances.], batch size: 335, lr: 1.62e-04
+2022-09-19 16:08:41,011 INFO [train.py:885] (0/2) Epoch 29, batch 6200, loss[loss=0.3779, simple_loss=0.4698, pruned_loss=0.143, over 13140.00 frames. utt_duration=82.03 frames, utt_pad_proportion=0.1084, over 653.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3445, pruned_loss=0.09838, over 2785447.62 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06908, over 45153.05 utterances.], batch size: 653, lr: 1.62e-04
+2022-09-19 16:09:10,497 INFO [train.py:885] (0/2) Epoch 29, batch 6250, loss[loss=0.2734, simple_loss=0.3546, pruned_loss=0.09605, over 14304.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03829, over 180.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3449, pruned_loss=0.09837, over 2780721.65 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07041, over 46066.12 utterances.], batch size: 180, lr: 1.62e-04
+2022-09-19 16:09:40,075 INFO [train.py:885] (0/2) Epoch 29, batch 6300, loss[loss=0.2336, simple_loss=0.311, pruned_loss=0.07804, over 14306.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04085, over 154.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3427, pruned_loss=0.09799, over 2777818.05 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06895, over 44909.77 utterances.], batch size: 154, lr: 1.62e-04
+2022-09-19 16:10:09,406 INFO [train.py:885] (0/2) Epoch 29, batch 6350, loss[loss=0.3457, simple_loss=0.408, pruned_loss=0.1417, over 14326.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03774, over 283.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3466, pruned_loss=0.1002, over 2781039.00 frames. utt_duration=243.3 frames, utt_pad_proportion=0.06868, over 46009.43 utterances.], batch size: 283, lr: 1.62e-04
+2022-09-19 16:10:38,426 INFO [train.py:885] (0/2) Epoch 29, batch 6400, loss[loss=0.2388, simple_loss=0.3214, pruned_loss=0.07814, over 14376.00 frames. utt_duration=345.9 frames, utt_pad_proportion=0.03661, over 167.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3431, pruned_loss=0.09852, over 2784584.15 frames. utt_duration=255.8 frames, utt_pad_proportion=0.06641, over 43798.69 utterances.], batch size: 167, lr: 1.62e-04
+2022-09-19 16:11:08,612 INFO [train.py:885] (0/2) Epoch 29, batch 6450, loss[loss=0.2089, simple_loss=0.2732, pruned_loss=0.07224, over 13801.00 frames. utt_duration=801.4 frames, utt_pad_proportion=0.06708, over 69.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3451, pruned_loss=0.0986, over 2782421.83 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07027, over 45551.93 utterances.], batch size: 69, lr: 1.62e-04
+2022-09-19 16:11:38,476 INFO [train.py:885] (0/2) Epoch 29, batch 6500, loss[loss=0.254, simple_loss=0.3253, pruned_loss=0.09137, over 14057.00 frames. utt_duration=575.2 frames, utt_pad_proportion=0.05703, over 98.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3459, pruned_loss=0.09862, over 2778629.80 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07196, over 46325.58 utterances.], batch size: 98, lr: 1.62e-04
+2022-09-19 16:12:07,764 INFO [train.py:885] (0/2) Epoch 29, batch 6550, loss[loss=0.1998, simple_loss=0.2774, pruned_loss=0.06112, over 14158.00 frames. utt_duration=637.8 frames, utt_pad_proportion=0.0495, over 89.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3447, pruned_loss=0.09846, over 2781115.49 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07088, over 45662.41 utterances.], batch size: 89, lr: 1.62e-04
+2022-09-19 16:12:37,534 INFO [train.py:885] (0/2) Epoch 29, batch 6600, loss[loss=0.2173, simple_loss=0.2879, pruned_loss=0.07336, over 14056.00 frames. utt_duration=575.2 frames, utt_pad_proportion=0.05556, over 98.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3475, pruned_loss=0.0993, over 2783069.85 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07075, over 47515.33 utterances.], batch size: 98, lr: 1.62e-04
+2022-09-19 16:13:01,208 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-360000.pt
+2022-09-19 16:13:07,436 INFO [train.py:885] (0/2) Epoch 29, batch 6650, loss[loss=0.289, simple_loss=0.3685, pruned_loss=0.1048, over 14312.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.03849, over 226.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3435, pruned_loss=0.09739, over 2788473.95 frames. utt_duration=247.2 frames, utt_pad_proportion=0.06833, over 45399.80 utterances.], batch size: 226, lr: 1.62e-04
+2022-09-19 16:13:37,172 INFO [train.py:885] (0/2) Epoch 29, batch 6700, loss[loss=0.2697, simple_loss=0.3632, pruned_loss=0.08805, over 14004.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05596, over 365.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3474, pruned_loss=0.09982, over 2786575.20 frames. utt_duration=240 frames, utt_pad_proportion=0.07048, over 46726.16 utterances.], batch size: 365, lr: 1.62e-04
+2022-09-19 16:14:06,371 INFO [train.py:885] (0/2) Epoch 29, batch 6750, loss[loss=0.1219, simple_loss=0.1775, pruned_loss=0.03312, over 13461.00 frames. utt_duration=1283 frames, utt_pad_proportion=0.09561, over 42.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3461, pruned_loss=0.09904, over 2781289.59 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07161, over 46379.66 utterances.], batch size: 42, lr: 1.62e-04
+2022-09-19 16:14:36,229 INFO [train.py:885] (0/2) Epoch 29, batch 6800, loss[loss=0.2148, simple_loss=0.2896, pruned_loss=0.06998, over 14328.00 frames. utt_duration=442.4 frames, utt_pad_proportion=0.03833, over 130.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3442, pruned_loss=0.09799, over 2781517.07 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07167, over 45634.97 utterances.], batch size: 130, lr: 1.62e-04
+2022-09-19 16:15:05,226 INFO [train.py:885] (0/2) Epoch 29, batch 6850, loss[loss=0.1786, simple_loss=0.246, pruned_loss=0.05559, over 14073.00 frames. utt_duration=805.9 frames, utt_pad_proportion=0.05968, over 70.00 utterances.], tot_loss[loss=0.267, simple_loss=0.3412, pruned_loss=0.09637, over 2779743.62 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07055, over 44597.05 utterances.], batch size: 70, lr: 1.62e-04
+2022-09-19 16:15:34,980 INFO [train.py:885] (0/2) Epoch 29, batch 6900, loss[loss=0.2397, simple_loss=0.3242, pruned_loss=0.07758, over 14306.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.03814, over 154.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.342, pruned_loss=0.0967, over 2777988.88 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06901, over 44851.32 utterances.], batch size: 154, lr: 1.62e-04
+2022-09-19 16:16:04,106 INFO [train.py:885] (0/2) Epoch 29, batch 6950, loss[loss=0.1857, simple_loss=0.2599, pruned_loss=0.05578, over 13852.00 frames. utt_duration=925 frames, utt_pad_proportion=0.07127, over 60.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3426, pruned_loss=0.09705, over 2776511.20 frames. utt_duration=249.1 frames, utt_pad_proportion=0.0696, over 44850.67 utterances.], batch size: 60, lr: 1.62e-04
+2022-09-19 16:16:33,743 INFO [train.py:885] (0/2) Epoch 29, batch 7000, loss[loss=0.2098, simple_loss=0.2753, pruned_loss=0.07214, over 14154.00 frames. utt_duration=637.6 frames, utt_pad_proportion=0.04838, over 89.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3416, pruned_loss=0.09706, over 2784329.76 frames. utt_duration=256.7 frames, utt_pad_proportion=0.06609, over 43644.12 utterances.], batch size: 89, lr: 1.62e-04
+2022-09-19 16:17:02,844 INFO [train.py:885] (0/2) Epoch 29, batch 7050, loss[loss=0.2762, simple_loss=0.3523, pruned_loss=0.1001, over 14347.00 frames. utt_duration=220.4 frames, utt_pad_proportion=0.03742, over 262.00 utterances.], tot_loss[loss=0.2639, simple_loss=0.3382, pruned_loss=0.09478, over 2784657.38 frames. utt_duration=262.2 frames, utt_pad_proportion=0.0665, over 42719.58 utterances.], batch size: 262, lr: 1.62e-04
+2022-09-19 16:17:33,009 INFO [train.py:885] (0/2) Epoch 29, batch 7100, loss[loss=0.1877, simple_loss=0.2739, pruned_loss=0.05075, over 14198.00 frames. utt_duration=639.7 frames, utt_pad_proportion=0.0467, over 89.00 utterances.], tot_loss[loss=0.2639, simple_loss=0.3385, pruned_loss=0.0946, over 2778005.42 frames. utt_duration=255 frames, utt_pad_proportion=0.06855, over 43831.24 utterances.], batch size: 89, lr: 1.62e-04
+2022-09-19 16:18:02,592 INFO [train.py:885] (0/2) Epoch 29, batch 7150, loss[loss=0.2803, simple_loss=0.357, pruned_loss=0.1018, over 14356.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03582, over 210.00 utterances.], tot_loss[loss=0.2626, simple_loss=0.337, pruned_loss=0.09407, over 2779862.18 frames. utt_duration=258.9 frames, utt_pad_proportion=0.06699, over 43200.78 utterances.], batch size: 210, lr: 1.62e-04
+2022-09-19 16:18:32,111 INFO [train.py:885] (0/2) Epoch 29, batch 7200, loss[loss=0.1812, simple_loss=0.2619, pruned_loss=0.05019, over 13535.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08889, over 50.00 utterances.], tot_loss[loss=0.2646, simple_loss=0.3392, pruned_loss=0.09502, over 2780443.97 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06896, over 44312.41 utterances.], batch size: 50, lr: 1.62e-04
+2022-09-19 16:19:01,753 INFO [train.py:885] (0/2) Epoch 29, batch 7250, loss[loss=0.2412, simple_loss=0.3101, pruned_loss=0.08613, over 14298.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.03836, over 130.00 utterances.], tot_loss[loss=0.266, simple_loss=0.3403, pruned_loss=0.09584, over 2783797.56 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06844, over 44283.43 utterances.], batch size: 130, lr: 1.62e-04
+2022-09-19 16:19:31,512 INFO [train.py:885] (0/2) Epoch 29, batch 7300, loss[loss=0.1796, simple_loss=0.2428, pruned_loss=0.05814, over 13670.00 frames. utt_duration=913 frames, utt_pad_proportion=0.08246, over 60.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3433, pruned_loss=0.0979, over 2781661.85 frames. utt_duration=246.8 frames, utt_pad_proportion=0.06969, over 45351.51 utterances.], batch size: 60, lr: 1.62e-04
+2022-09-19 16:20:01,354 INFO [train.py:885] (0/2) Epoch 29, batch 7350, loss[loss=0.2022, simple_loss=0.2777, pruned_loss=0.06333, over 14036.00 frames. utt_duration=712 frames, utt_pad_proportion=0.0582, over 79.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3443, pruned_loss=0.09897, over 2776629.84 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07186, over 45663.10 utterances.], batch size: 79, lr: 1.62e-04
+2022-09-19 16:20:30,967 INFO [train.py:885] (0/2) Epoch 29, batch 7400, loss[loss=0.1986, simple_loss=0.2529, pruned_loss=0.07215, over 13871.00 frames. utt_duration=910.9 frames, utt_pad_proportion=0.07056, over 61.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3446, pruned_loss=0.09943, over 2782266.33 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07024, over 45027.23 utterances.], batch size: 61, lr: 1.62e-04
+2022-09-19 16:21:00,711 INFO [train.py:885] (0/2) Epoch 29, batch 7450, loss[loss=0.2601, simple_loss=0.3385, pruned_loss=0.09087, over 14309.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.03795, over 180.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3426, pruned_loss=0.09796, over 2782615.56 frames. utt_duration=251.7 frames, utt_pad_proportion=0.06903, over 44484.80 utterances.], batch size: 180, lr: 1.62e-04
+2022-09-19 16:21:30,915 INFO [train.py:885] (0/2) Epoch 29, batch 7500, loss[loss=0.2507, simple_loss=0.3181, pruned_loss=0.09167, over 14193.00 frames. utt_duration=522.4 frames, utt_pad_proportion=0.0432, over 109.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3456, pruned_loss=0.09847, over 2779343.90 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07207, over 46664.00 utterances.], batch size: 109, lr: 1.62e-04
+2022-09-19 16:22:01,030 INFO [train.py:885] (0/2) Epoch 29, batch 7550, loss[loss=0.2608, simple_loss=0.3429, pruned_loss=0.0893, over 14355.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03632, over 210.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3469, pruned_loss=0.09814, over 2778841.95 frames. utt_duration=233.9 frames, utt_pad_proportion=0.07284, over 47814.30 utterances.], batch size: 210, lr: 1.62e-04
+2022-09-19 16:22:30,492 INFO [train.py:885] (0/2) Epoch 29, batch 7600, loss[loss=0.1379, simple_loss=0.2032, pruned_loss=0.03624, over 13369.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.08711, over 41.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3447, pruned_loss=0.09766, over 2782172.59 frames. utt_duration=243 frames, utt_pad_proportion=0.06913, over 46074.05 utterances.], batch size: 41, lr: 1.62e-04
+2022-09-19 16:23:00,364 INFO [train.py:885] (0/2) Epoch 29, batch 7650, loss[loss=0.1519, simple_loss=0.2201, pruned_loss=0.04186, over 13899.00 frames. utt_duration=807.2 frames, utt_pad_proportion=0.0603, over 69.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.3416, pruned_loss=0.09699, over 2783152.89 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06879, over 44630.37 utterances.], batch size: 69, lr: 1.62e-04
+2022-09-19 16:23:30,330 INFO [train.py:885] (0/2) Epoch 29, batch 7700, loss[loss=0.1127, simple_loss=0.1694, pruned_loss=0.02795, over 13243.00 frames. utt_duration=1606 frames, utt_pad_proportion=0.1036, over 33.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3441, pruned_loss=0.0983, over 2779476.67 frames. utt_duration=242.4 frames, utt_pad_proportion=0.071, over 46152.18 utterances.], batch size: 33, lr: 1.62e-04
+2022-09-19 16:24:00,678 INFO [train.py:885] (0/2) Epoch 29, batch 7750, loss[loss=0.2722, simple_loss=0.3554, pruned_loss=0.0945, over 14261.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04147, over 225.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3465, pruned_loss=0.09933, over 2779750.66 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07119, over 47236.49 utterances.], batch size: 225, lr: 1.62e-04
+2022-09-19 16:24:30,198 INFO [train.py:885] (0/2) Epoch 29, batch 7800, loss[loss=0.2728, simple_loss=0.3503, pruned_loss=0.09763, over 14346.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03644, over 210.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3441, pruned_loss=0.09818, over 2784539.73 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07015, over 45824.95 utterances.], batch size: 210, lr: 1.62e-04
+2022-09-19 16:25:00,076 INFO [train.py:885] (0/2) Epoch 29, batch 7850, loss[loss=0.2145, simple_loss=0.2863, pruned_loss=0.0713, over 13950.00 frames. utt_duration=570.9 frames, utt_pad_proportion=0.0626, over 98.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.347, pruned_loss=0.0998, over 2777618.28 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07416, over 47565.79 utterances.], batch size: 98, lr: 1.62e-04
+2022-09-19 16:25:29,710 INFO [train.py:885] (0/2) Epoch 29, batch 7900, loss[loss=0.2447, simple_loss=0.316, pruned_loss=0.08672, over 14142.00 frames. utt_duration=520.4 frames, utt_pad_proportion=0.0469, over 109.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3452, pruned_loss=0.09893, over 2781702.83 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07082, over 46187.28 utterances.], batch size: 109, lr: 1.62e-04
+2022-09-19 16:25:59,290 INFO [train.py:885] (0/2) Epoch 29, batch 7950, loss[loss=0.2261, simple_loss=0.3055, pruned_loss=0.0734, over 14110.00 frames. utt_duration=635.5 frames, utt_pad_proportion=0.05437, over 89.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3415, pruned_loss=0.09733, over 2779378.49 frames. utt_duration=249.2 frames, utt_pad_proportion=0.0699, over 44882.49 utterances.], batch size: 89, lr: 1.62e-04
+2022-09-19 16:26:29,177 INFO [train.py:885] (0/2) Epoch 29, batch 8000, loss[loss=0.3211, simple_loss=0.3833, pruned_loss=0.1294, over 14348.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03639, over 283.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3456, pruned_loss=0.09983, over 2783672.20 frames. utt_duration=244.3 frames, utt_pad_proportion=0.06932, over 45851.60 utterances.], batch size: 283, lr: 1.62e-04
+2022-09-19 16:26:58,863 INFO [train.py:885] (0/2) Epoch 29, batch 8050, loss[loss=0.275, simple_loss=0.3569, pruned_loss=0.09653, over 14307.00 frames. utt_duration=273.9 frames, utt_pad_proportion=0.03898, over 210.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3426, pruned_loss=0.09771, over 2781490.20 frames. utt_duration=247.9 frames, utt_pad_proportion=0.0688, over 45153.54 utterances.], batch size: 210, lr: 1.62e-04
+2022-09-19 16:27:29,839 INFO [train.py:885] (0/2) Epoch 29, batch 8100, loss[loss=0.3374, simple_loss=0.4287, pruned_loss=0.1231, over 13637.00 frames. utt_duration=98.85 frames, utt_pad_proportion=0.07617, over 560.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3489, pruned_loss=0.1002, over 2778387.72 frames. utt_duration=231.5 frames, utt_pad_proportion=0.07195, over 48321.68 utterances.], batch size: 560, lr: 1.62e-04
+2022-09-19 16:27:59,674 INFO [train.py:885] (0/2) Epoch 29, batch 8150, loss[loss=0.3004, simple_loss=0.3708, pruned_loss=0.115, over 14238.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04217, over 306.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3435, pruned_loss=0.09765, over 2778970.49 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07088, over 46371.76 utterances.], batch size: 306, lr: 1.61e-04
+2022-09-19 16:28:29,430 INFO [train.py:885] (0/2) Epoch 29, batch 8200, loss[loss=0.1745, simple_loss=0.2498, pruned_loss=0.04957, over 13988.00 frames. utt_duration=709.9 frames, utt_pad_proportion=0.05967, over 79.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3447, pruned_loss=0.09778, over 2778065.57 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07205, over 46907.62 utterances.], batch size: 79, lr: 1.61e-04
+2022-09-19 16:28:59,117 INFO [train.py:885] (0/2) Epoch 29, batch 8250, loss[loss=0.2871, simple_loss=0.3563, pruned_loss=0.109, over 14340.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03444, over 244.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3494, pruned_loss=0.1004, over 2778790.14 frames. utt_duration=231.1 frames, utt_pad_proportion=0.07319, over 48396.62 utterances.], batch size: 244, lr: 1.61e-04
+2022-09-19 16:29:28,284 INFO [train.py:885] (0/2) Epoch 29, batch 8300, loss[loss=0.2841, simple_loss=0.3546, pruned_loss=0.1069, over 14396.00 frames. utt_duration=296.8 frames, utt_pad_proportion=0.03321, over 195.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3492, pruned_loss=0.1006, over 2781748.27 frames. utt_duration=233.9 frames, utt_pad_proportion=0.07149, over 47868.05 utterances.], batch size: 195, lr: 1.61e-04
+2022-09-19 16:29:58,552 INFO [train.py:885] (0/2) Epoch 29, batch 8350, loss[loss=0.3141, simple_loss=0.3818, pruned_loss=0.1232, over 14320.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.0385, over 283.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3467, pruned_loss=0.09896, over 2778770.60 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07325, over 47762.69 utterances.], batch size: 283, lr: 1.61e-04
+2022-09-19 16:30:28,146 INFO [train.py:885] (0/2) Epoch 29, batch 8400, loss[loss=0.1264, simple_loss=0.1837, pruned_loss=0.03457, over 12874.00 frames. utt_duration=1562 frames, utt_pad_proportion=0.1254, over 33.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3468, pruned_loss=0.09895, over 2781328.80 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07272, over 47541.26 utterances.], batch size: 33, lr: 1.61e-04
+2022-09-19 16:30:58,269 INFO [train.py:885] (0/2) Epoch 29, batch 8450, loss[loss=0.2413, simple_loss=0.3221, pruned_loss=0.08027, over 14253.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04524, over 141.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3489, pruned_loss=0.09987, over 2782491.78 frames. utt_duration=232.8 frames, utt_pad_proportion=0.07272, over 48113.83 utterances.], batch size: 141, lr: 1.61e-04
+2022-09-19 16:31:28,025 INFO [train.py:885] (0/2) Epoch 29, batch 8500, loss[loss=0.2488, simple_loss=0.3354, pruned_loss=0.08106, over 14309.00 frames. utt_duration=344 frames, utt_pad_proportion=0.04178, over 167.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3462, pruned_loss=0.09842, over 2781644.46 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07217, over 47353.66 utterances.], batch size: 167, lr: 1.61e-04
+2022-09-19 16:31:57,335 INFO [train.py:885] (0/2) Epoch 29, batch 8550, loss[loss=0.1787, simple_loss=0.2417, pruned_loss=0.0579, over 12289.00 frames. utt_duration=2050 frames, utt_pad_proportion=0.1732, over 24.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3465, pruned_loss=0.09888, over 2776214.86 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07391, over 47079.34 utterances.], batch size: 24, lr: 1.61e-04
+2022-09-19 16:32:27,174 INFO [train.py:885] (0/2) Epoch 29, batch 8600, loss[loss=0.2356, simple_loss=0.3163, pruned_loss=0.07742, over 14323.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.04063, over 167.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3484, pruned_loss=0.09916, over 2780711.46 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07299, over 47579.78 utterances.], batch size: 167, lr: 1.61e-04
+2022-09-19 16:32:56,656 INFO [train.py:885] (0/2) Epoch 29, batch 8650, loss[loss=0.2626, simple_loss=0.3299, pruned_loss=0.09762, over 14328.00 frames. utt_duration=442.3 frames, utt_pad_proportion=0.03846, over 130.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3462, pruned_loss=0.09789, over 2779501.84 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07207, over 46748.86 utterances.], batch size: 130, lr: 1.61e-04
+2022-09-19 16:33:27,261 INFO [train.py:885] (0/2) Epoch 29, batch 8700, loss[loss=0.3486, simple_loss=0.4426, pruned_loss=0.1273, over 13594.00 frames. utt_duration=98.43 frames, utt_pad_proportion=0.08011, over 560.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3484, pruned_loss=0.09986, over 2779106.61 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07181, over 47162.86 utterances.], batch size: 560, lr: 1.61e-04
+2022-09-19 16:33:56,922 INFO [train.py:885] (0/2) Epoch 29, batch 8750, loss[loss=0.3669, simple_loss=0.4125, pruned_loss=0.1607, over 14259.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04119, over 335.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3461, pruned_loss=0.09925, over 2781255.77 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07069, over 45570.93 utterances.], batch size: 335, lr: 1.61e-04
+2022-09-19 16:34:26,436 INFO [train.py:885] (0/2) Epoch 29, batch 8800, loss[loss=0.209, simple_loss=0.2858, pruned_loss=0.06613, over 14281.00 frames. utt_duration=477.5 frames, utt_pad_proportion=0.04125, over 120.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3436, pruned_loss=0.09789, over 2781834.98 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06956, over 44285.72 utterances.], batch size: 120, lr: 1.61e-04
+2022-09-19 16:34:56,483 INFO [train.py:885] (0/2) Epoch 29, batch 8850, loss[loss=0.1463, simple_loss=0.2056, pruned_loss=0.04345, over 13005.00 frames. utt_duration=1578 frames, utt_pad_proportion=0.1245, over 33.00 utterances.], tot_loss[loss=0.2656, simple_loss=0.3392, pruned_loss=0.09603, over 2780124.03 frames. utt_duration=262 frames, utt_pad_proportion=0.06795, over 42689.72 utterances.], batch size: 33, lr: 1.61e-04
+2022-09-19 16:35:26,214 INFO [train.py:885] (0/2) Epoch 29, batch 8900, loss[loss=0.2574, simple_loss=0.3435, pruned_loss=0.08562, over 14280.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03978, over 180.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3431, pruned_loss=0.0968, over 2782603.12 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06902, over 44759.34 utterances.], batch size: 180, lr: 1.61e-04
+2022-09-19 16:35:56,450 INFO [train.py:885] (0/2) Epoch 29, batch 8950, loss[loss=0.4654, simple_loss=0.5608, pruned_loss=0.185, over 12522.00 frames. utt_duration=63.36 frames, utt_pad_proportion=0.1438, over 810.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.348, pruned_loss=0.09954, over 2780111.59 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07214, over 46592.59 utterances.], batch size: 810, lr: 1.61e-04
+2022-09-19 16:36:26,287 INFO [train.py:885] (0/2) Epoch 29, batch 9000, loss[loss=0.2808, simple_loss=0.3509, pruned_loss=0.1054, over 14386.00 frames. utt_duration=296.5 frames, utt_pad_proportion=0.03421, over 195.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.343, pruned_loss=0.09659, over 2780150.05 frames. utt_duration=248 frames, utt_pad_proportion=0.07179, over 45103.52 utterances.], batch size: 195, lr: 1.61e-04
+2022-09-19 16:36:26,289 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 16:36:30,497 INFO [train.py:914] (0/2) Epoch 29, validation: loss=0.1859, simple_loss=0.2667, pruned_loss=0.05254, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 16:37:00,353 INFO [train.py:885] (0/2) Epoch 29, batch 9050, loss[loss=0.4431, simple_loss=0.5154, pruned_loss=0.1854, over 13139.00 frames. utt_duration=81.97 frames, utt_pad_proportion=0.1091, over 653.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.3425, pruned_loss=0.0959, over 2777754.53 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07242, over 44833.03 utterances.], batch size: 653, lr: 1.61e-04
+2022-09-19 16:37:29,546 INFO [train.py:885] (0/2) Epoch 29, batch 9100, loss[loss=0.3045, simple_loss=0.3822, pruned_loss=0.1134, over 14184.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04587, over 306.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3439, pruned_loss=0.0972, over 2776404.95 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07262, over 45145.84 utterances.], batch size: 306, lr: 1.61e-04
+2022-09-19 16:37:59,797 INFO [train.py:885] (0/2) Epoch 29, batch 9150, loss[loss=0.1921, simple_loss=0.2647, pruned_loss=0.05969, over 14193.00 frames. utt_duration=639.5 frames, utt_pad_proportion=0.047, over 89.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3437, pruned_loss=0.0979, over 2778648.33 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07283, over 44823.73 utterances.], batch size: 89, lr: 1.61e-04
+2022-09-19 16:38:29,319 INFO [train.py:885] (0/2) Epoch 29, batch 9200, loss[loss=0.3468, simple_loss=0.4073, pruned_loss=0.1431, over 14236.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04246, over 335.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3425, pruned_loss=0.09709, over 2781339.85 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07147, over 44604.24 utterances.], batch size: 335, lr: 1.61e-04
+2022-09-19 16:38:59,506 INFO [train.py:885] (0/2) Epoch 29, batch 9250, loss[loss=0.2466, simple_loss=0.3333, pruned_loss=0.07997, over 14369.00 frames. utt_duration=480.6 frames, utt_pad_proportion=0.03502, over 120.00 utterances.], tot_loss[loss=0.2652, simple_loss=0.3392, pruned_loss=0.09557, over 2780325.39 frames. utt_duration=260.5 frames, utt_pad_proportion=0.06874, over 42941.14 utterances.], batch size: 120, lr: 1.61e-04
+2022-09-19 16:39:29,060 INFO [train.py:885] (0/2) Epoch 29, batch 9300, loss[loss=0.1742, simple_loss=0.2448, pruned_loss=0.05181, over 13898.00 frames. utt_duration=927.9 frames, utt_pad_proportion=0.0674, over 60.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.3419, pruned_loss=0.09652, over 2779286.90 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07145, over 44433.43 utterances.], batch size: 60, lr: 1.61e-04
+2022-09-19 16:39:58,896 INFO [train.py:885] (0/2) Epoch 29, batch 9350, loss[loss=0.4646, simple_loss=0.5664, pruned_loss=0.1814, over 12546.00 frames. utt_duration=63.5 frames, utt_pad_proportion=0.1419, over 810.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3427, pruned_loss=0.09705, over 2777118.21 frames. utt_duration=250 frames, utt_pad_proportion=0.07199, over 44704.44 utterances.], batch size: 810, lr: 1.61e-04
+2022-09-19 16:40:28,527 INFO [train.py:885] (0/2) Epoch 29, batch 9400, loss[loss=0.264, simple_loss=0.3429, pruned_loss=0.09257, over 14361.00 frames. utt_duration=374.5 frames, utt_pad_proportion=0.03471, over 154.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3438, pruned_loss=0.09748, over 2778851.42 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07242, over 45433.51 utterances.], batch size: 154, lr: 1.61e-04
+2022-09-19 16:40:58,515 INFO [train.py:885] (0/2) Epoch 29, batch 9450, loss[loss=0.3057, simple_loss=0.4001, pruned_loss=0.1057, over 13614.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08191, over 477.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3449, pruned_loss=0.09814, over 2779863.65 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07136, over 45865.38 utterances.], batch size: 477, lr: 1.61e-04
+2022-09-19 16:41:28,654 INFO [train.py:885] (0/2) Epoch 29, batch 9500, loss[loss=0.1551, simple_loss=0.2242, pruned_loss=0.043, over 13721.00 frames. utt_duration=1308 frames, utt_pad_proportion=0.0729, over 42.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3435, pruned_loss=0.09716, over 2777375.66 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07184, over 45821.58 utterances.], batch size: 42, lr: 1.61e-04
+2022-09-19 16:41:58,900 INFO [train.py:885] (0/2) Epoch 29, batch 9550, loss[loss=0.2651, simple_loss=0.3482, pruned_loss=0.09098, over 14285.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.03943, over 154.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3439, pruned_loss=0.09669, over 2779717.32 frames. utt_duration=241.9 frames, utt_pad_proportion=0.0719, over 46256.45 utterances.], batch size: 154, lr: 1.61e-04
+2022-09-19 16:42:28,603 INFO [train.py:885] (0/2) Epoch 29, batch 9600, loss[loss=0.2491, simple_loss=0.315, pruned_loss=0.09163, over 14347.00 frames. utt_duration=479.6 frames, utt_pad_proportion=0.0369, over 120.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3434, pruned_loss=0.09685, over 2781102.53 frames. utt_duration=244.6 frames, utt_pad_proportion=0.06964, over 45755.67 utterances.], batch size: 120, lr: 1.61e-04
+2022-09-19 16:42:58,845 INFO [train.py:885] (0/2) Epoch 29, batch 9650, loss[loss=0.162, simple_loss=0.2148, pruned_loss=0.05464, over 13208.00 frames. utt_duration=1602 frames, utt_pad_proportion=0.1122, over 33.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3447, pruned_loss=0.09693, over 2779964.11 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07114, over 47370.21 utterances.], batch size: 33, lr: 1.61e-04
+2022-09-19 16:43:27,936 INFO [train.py:885] (0/2) Epoch 29, batch 9700, loss[loss=0.248, simple_loss=0.31, pruned_loss=0.09302, over 14212.00 frames. utt_duration=640 frames, utt_pad_proportion=0.04483, over 89.00 utterances.], tot_loss[loss=0.2662, simple_loss=0.3415, pruned_loss=0.09543, over 2780916.59 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07, over 45592.12 utterances.], batch size: 89, lr: 1.61e-04
+2022-09-19 16:43:57,395 INFO [train.py:885] (0/2) Epoch 29, batch 9750, loss[loss=0.62, simple_loss=0.6716, pruned_loss=0.2842, over 12473.00 frames. utt_duration=63.17 frames, utt_pad_proportion=0.1463, over 810.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3469, pruned_loss=0.09829, over 2779693.38 frames. utt_duration=233.9 frames, utt_pad_proportion=0.07147, over 47833.96 utterances.], batch size: 810, lr: 1.61e-04
+2022-09-19 16:44:26,752 INFO [train.py:885] (0/2) Epoch 29, batch 9800, loss[loss=0.1733, simple_loss=0.2322, pruned_loss=0.05724, over 13897.00 frames. utt_duration=928 frames, utt_pad_proportion=0.06642, over 60.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3459, pruned_loss=0.0978, over 2775548.03 frames. utt_duration=234.3 frames, utt_pad_proportion=0.07285, over 47677.57 utterances.], batch size: 60, lr: 1.61e-04
+2022-09-19 16:45:02,709 INFO [train.py:885] (0/2) Epoch 29, batch 9850, loss[loss=0.1713, simple_loss=0.2472, pruned_loss=0.0477, over 13911.00 frames. utt_duration=928.7 frames, utt_pad_proportion=0.06662, over 60.00 utterances.], tot_loss[loss=0.2661, simple_loss=0.3411, pruned_loss=0.09555, over 2772377.88 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07346, over 45605.64 utterances.], batch size: 60, lr: 1.61e-04
+2022-09-19 16:45:32,180 INFO [train.py:885] (0/2) Epoch 29, batch 9900, loss[loss=0.3401, simple_loss=0.3942, pruned_loss=0.143, over 14287.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03951, over 180.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.3425, pruned_loss=0.09653, over 2769359.16 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07581, over 46303.04 utterances.], batch size: 180, lr: 1.61e-04
+2022-09-19 16:46:01,768 INFO [train.py:885] (0/2) Epoch 29, batch 9950, loss[loss=0.2656, simple_loss=0.3426, pruned_loss=0.09431, over 14348.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03888, over 167.00 utterances.], tot_loss[loss=0.2644, simple_loss=0.3387, pruned_loss=0.095, over 2774466.16 frames. utt_duration=252.1 frames, utt_pad_proportion=0.07254, over 44284.75 utterances.], batch size: 167, lr: 1.61e-04
+2022-09-19 16:46:31,436 INFO [train.py:885] (0/2) Epoch 29, batch 10000, loss[loss=0.4251, simple_loss=0.5047, pruned_loss=0.1728, over 13173.00 frames. utt_duration=82.28 frames, utt_pad_proportion=0.1056, over 653.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3448, pruned_loss=0.09807, over 2769878.09 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07644, over 46709.17 utterances.], batch size: 653, lr: 1.61e-04
+2022-09-19 16:47:00,567 INFO [train.py:885] (0/2) Epoch 29, batch 10050, loss[loss=0.3122, simple_loss=0.4115, pruned_loss=0.1064, over 13651.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07975, over 477.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3459, pruned_loss=0.09888, over 2773048.36 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07455, over 46141.87 utterances.], batch size: 477, lr: 1.61e-04
+2022-09-19 16:47:29,940 INFO [train.py:885] (0/2) Epoch 29, batch 10100, loss[loss=0.1294, simple_loss=0.1849, pruned_loss=0.03697, over 13128.00 frames. utt_duration=1593 frames, utt_pad_proportion=0.1117, over 33.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3438, pruned_loss=0.09845, over 2776607.71 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07261, over 44666.68 utterances.], batch size: 33, lr: 1.61e-04
+2022-09-19 16:47:59,477 INFO [train.py:885] (0/2) Epoch 29, batch 10150, loss[loss=0.223, simple_loss=0.2952, pruned_loss=0.07539, over 14057.00 frames. utt_duration=575.1 frames, utt_pad_proportion=0.05575, over 98.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3423, pruned_loss=0.09717, over 2780861.75 frames. utt_duration=256.6 frames, utt_pad_proportion=0.07097, over 43594.57 utterances.], batch size: 98, lr: 1.61e-04
+2022-09-19 16:48:29,177 INFO [train.py:885] (0/2) Epoch 29, batch 10200, loss[loss=0.3148, simple_loss=0.3848, pruned_loss=0.1224, over 14342.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03684, over 283.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3446, pruned_loss=0.09814, over 2779932.91 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07089, over 44817.34 utterances.], batch size: 283, lr: 1.61e-04
+2022-09-19 16:48:58,614 INFO [train.py:885] (0/2) Epoch 29, batch 10250, loss[loss=0.3711, simple_loss=0.4164, pruned_loss=0.1629, over 14201.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04432, over 306.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.3419, pruned_loss=0.09645, over 2783094.44 frames. utt_duration=254.6 frames, utt_pad_proportion=0.0686, over 43980.78 utterances.], batch size: 306, lr: 1.61e-04
+2022-09-19 16:49:28,326 INFO [train.py:885] (0/2) Epoch 29, batch 10300, loss[loss=0.1849, simple_loss=0.2565, pruned_loss=0.05669, over 13941.00 frames. utt_duration=809.5 frames, utt_pad_proportion=0.05873, over 69.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3472, pruned_loss=0.0988, over 2781627.74 frames. utt_duration=239.8 frames, utt_pad_proportion=0.0718, over 46681.95 utterances.], batch size: 69, lr: 1.61e-04
+2022-09-19 16:49:58,730 INFO [train.py:885] (0/2) Epoch 29, batch 10350, loss[loss=0.4961, simple_loss=0.5814, pruned_loss=0.2054, over 12515.00 frames. utt_duration=63.39 frames, utt_pad_proportion=0.1434, over 810.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3488, pruned_loss=0.09939, over 2777830.99 frames. utt_duration=232.4 frames, utt_pad_proportion=0.0738, over 48124.43 utterances.], batch size: 810, lr: 1.61e-04
+2022-09-19 16:50:27,688 INFO [train.py:885] (0/2) Epoch 29, batch 10400, loss[loss=0.2458, simple_loss=0.327, pruned_loss=0.08234, over 14307.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.03794, over 180.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3468, pruned_loss=0.09886, over 2782570.65 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07054, over 46800.72 utterances.], batch size: 180, lr: 1.61e-04
+2022-09-19 16:50:56,659 INFO [train.py:885] (0/2) Epoch 29, batch 10450, loss[loss=0.2864, simple_loss=0.3569, pruned_loss=0.1079, over 14359.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03552, over 210.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3414, pruned_loss=0.09677, over 2784544.74 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06924, over 44236.81 utterances.], batch size: 210, lr: 1.61e-04
+2022-09-19 16:51:26,365 INFO [train.py:885] (0/2) Epoch 29, batch 10500, loss[loss=0.3335, simple_loss=0.4042, pruned_loss=0.1315, over 14333.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03738, over 210.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3442, pruned_loss=0.09904, over 2778708.79 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07156, over 44990.85 utterances.], batch size: 210, lr: 1.61e-04
+2022-09-19 16:51:55,917 INFO [train.py:885] (0/2) Epoch 29, batch 10550, loss[loss=0.2624, simple_loss=0.366, pruned_loss=0.07936, over 13781.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07121, over 411.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3418, pruned_loss=0.09705, over 2775439.79 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07358, over 44373.05 utterances.], batch size: 411, lr: 1.61e-04
+2022-09-19 16:52:25,779 INFO [train.py:885] (0/2) Epoch 29, batch 10600, loss[loss=0.3035, simple_loss=0.4069, pruned_loss=0.1, over 13604.00 frames. utt_duration=115.5 frames, utt_pad_proportion=0.08294, over 477.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3415, pruned_loss=0.09632, over 2773436.45 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07402, over 44902.17 utterances.], batch size: 477, lr: 1.61e-04
+2022-09-19 16:52:49,991 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-364000.pt
+2022-09-19 16:52:55,710 INFO [train.py:885] (0/2) Epoch 29, batch 10650, loss[loss=0.3293, simple_loss=0.4105, pruned_loss=0.1241, over 13769.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07231, over 411.00 utterances.], tot_loss[loss=0.265, simple_loss=0.3386, pruned_loss=0.09565, over 2770788.52 frames. utt_duration=260.9 frames, utt_pad_proportion=0.07358, over 42719.78 utterances.], batch size: 411, lr: 1.61e-04
+2022-09-19 16:53:25,964 INFO [train.py:885] (0/2) Epoch 29, batch 10700, loss[loss=0.2704, simple_loss=0.3314, pruned_loss=0.1047, over 14106.00 frames. utt_duration=577.3 frames, utt_pad_proportion=0.05213, over 98.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3414, pruned_loss=0.09738, over 2774380.91 frames. utt_duration=255.2 frames, utt_pad_proportion=0.0716, over 43745.38 utterances.], batch size: 98, lr: 1.61e-04
+2022-09-19 16:53:54,652 INFO [train.py:885] (0/2) Epoch 29, batch 10750, loss[loss=0.3181, simple_loss=0.3847, pruned_loss=0.1257, over 14208.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04409, over 335.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3418, pruned_loss=0.09778, over 2781312.81 frames. utt_duration=257.3 frames, utt_pad_proportion=0.0697, over 43487.60 utterances.], batch size: 335, lr: 1.61e-04
+2022-09-19 16:54:25,039 INFO [train.py:885] (0/2) Epoch 29, batch 10800, loss[loss=0.2137, simple_loss=0.2911, pruned_loss=0.06816, over 14213.00 frames. utt_duration=523.2 frames, utt_pad_proportion=0.04179, over 109.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3426, pruned_loss=0.09799, over 2785252.34 frames. utt_duration=259.4 frames, utt_pad_proportion=0.06745, over 43200.76 utterances.], batch size: 109, lr: 1.61e-04
+2022-09-19 16:54:54,341 INFO [train.py:885] (0/2) Epoch 29, batch 10850, loss[loss=0.2395, simple_loss=0.313, pruned_loss=0.08299, over 14142.00 frames. utt_duration=520.4 frames, utt_pad_proportion=0.04683, over 109.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3427, pruned_loss=0.09752, over 2788196.83 frames. utt_duration=257.4 frames, utt_pad_proportion=0.06695, over 43583.35 utterances.], batch size: 109, lr: 1.61e-04
+2022-09-19 16:55:24,114 INFO [train.py:885] (0/2) Epoch 29, batch 10900, loss[loss=0.3102, simple_loss=0.3812, pruned_loss=0.1196, over 14351.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03699, over 283.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3446, pruned_loss=0.09931, over 2791559.48 frames. utt_duration=258.4 frames, utt_pad_proportion=0.06695, over 43468.89 utterances.], batch size: 283, lr: 1.61e-04
+2022-09-19 16:55:53,569 INFO [train.py:885] (0/2) Epoch 29, batch 10950, loss[loss=0.2881, simple_loss=0.3713, pruned_loss=0.1025, over 14317.00 frames. utt_duration=220 frames, utt_pad_proportion=0.0393, over 262.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3427, pruned_loss=0.09759, over 2789865.29 frames. utt_duration=256.5 frames, utt_pad_proportion=0.06778, over 43755.09 utterances.], batch size: 262, lr: 1.61e-04
+2022-09-19 16:56:22,043 INFO [train.py:885] (0/2) Epoch 29, batch 11000, loss[loss=0.2124, simple_loss=0.2884, pruned_loss=0.06819, over 14069.00 frames. utt_duration=713.7 frames, utt_pad_proportion=0.05589, over 79.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3404, pruned_loss=0.09629, over 2788017.71 frames. utt_duration=263.7 frames, utt_pad_proportion=0.06811, over 42529.39 utterances.], batch size: 79, lr: 1.61e-04
+2022-09-19 16:56:52,430 INFO [train.py:885] (0/2) Epoch 29, batch 11050, loss[loss=0.2332, simple_loss=0.3051, pruned_loss=0.08067, over 14334.00 frames. utt_duration=442.4 frames, utt_pad_proportion=0.03608, over 130.00 utterances.], tot_loss[loss=0.2663, simple_loss=0.3406, pruned_loss=0.096, over 2778706.61 frames. utt_duration=255.2 frames, utt_pad_proportion=0.07223, over 43815.90 utterances.], batch size: 130, lr: 1.61e-04
+2022-09-19 16:57:21,991 INFO [train.py:885] (0/2) Epoch 29, batch 11100, loss[loss=0.1994, simple_loss=0.2721, pruned_loss=0.06334, over 14305.00 frames. utt_duration=478.2 frames, utt_pad_proportion=0.03969, over 120.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3438, pruned_loss=0.097, over 2778623.37 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07238, over 45390.84 utterances.], batch size: 120, lr: 1.61e-04
+2022-09-19 16:57:51,709 INFO [train.py:885] (0/2) Epoch 29, batch 11150, loss[loss=0.3001, simple_loss=0.3578, pruned_loss=0.1211, over 14367.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03835, over 167.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3438, pruned_loss=0.09754, over 2781265.47 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07143, over 45163.68 utterances.], batch size: 167, lr: 1.61e-04
+2022-09-19 16:58:20,692 INFO [train.py:885] (0/2) Epoch 29, batch 11200, loss[loss=0.2995, simple_loss=0.3781, pruned_loss=0.1105, over 14305.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.03997, over 262.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.3417, pruned_loss=0.09591, over 2779095.98 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07085, over 44854.08 utterances.], batch size: 262, lr: 1.61e-04
+2022-09-19 16:58:50,547 INFO [train.py:885] (0/2) Epoch 29, batch 11250, loss[loss=0.3748, simple_loss=0.4379, pruned_loss=0.1559, over 14017.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05503, over 365.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.3413, pruned_loss=0.09603, over 2774757.15 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07222, over 44969.52 utterances.], batch size: 365, lr: 1.61e-04
+2022-09-19 16:59:19,563 INFO [train.py:885] (0/2) Epoch 29, batch 11300, loss[loss=0.2548, simple_loss=0.3363, pruned_loss=0.08661, over 14378.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03218, over 244.00 utterances.], tot_loss[loss=0.2645, simple_loss=0.3394, pruned_loss=0.09481, over 2774628.91 frames. utt_duration=252.6 frames, utt_pad_proportion=0.07161, over 44195.70 utterances.], batch size: 244, lr: 1.61e-04
+2022-09-19 16:59:49,210 INFO [train.py:885] (0/2) Epoch 29, batch 11350, loss[loss=0.2836, simple_loss=0.355, pruned_loss=0.1061, over 14307.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03839, over 180.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3415, pruned_loss=0.0963, over 2777453.97 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07211, over 44840.50 utterances.], batch size: 180, lr: 1.61e-04
+2022-09-19 17:00:18,261 INFO [train.py:885] (0/2) Epoch 29, batch 11400, loss[loss=0.2045, simple_loss=0.2689, pruned_loss=0.07002, over 13756.00 frames. utt_duration=918.5 frames, utt_pad_proportion=0.07133, over 60.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3433, pruned_loss=0.09711, over 2774691.93 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07279, over 45780.66 utterances.], batch size: 60, lr: 1.61e-04
+2022-09-19 17:00:47,932 INFO [train.py:885] (0/2) Epoch 29, batch 11450, loss[loss=0.2593, simple_loss=0.3362, pruned_loss=0.09119, over 14308.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.04053, over 154.00 utterances.], tot_loss[loss=0.2676, simple_loss=0.3427, pruned_loss=0.09623, over 2780411.67 frames. utt_duration=246.3 frames, utt_pad_proportion=0.0702, over 45425.63 utterances.], batch size: 154, lr: 1.61e-04
+2022-09-19 17:01:17,068 INFO [train.py:885] (0/2) Epoch 29, batch 11500, loss[loss=0.2132, simple_loss=0.2858, pruned_loss=0.07033, over 14155.00 frames. utt_duration=520.9 frames, utt_pad_proportion=0.04589, over 109.00 utterances.], tot_loss[loss=0.2663, simple_loss=0.3408, pruned_loss=0.09589, over 2783501.71 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06853, over 44391.42 utterances.], batch size: 109, lr: 1.61e-04
+2022-09-19 17:01:46,854 INFO [train.py:885] (0/2) Epoch 29, batch 11550, loss[loss=0.2515, simple_loss=0.3226, pruned_loss=0.09021, over 14281.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.04364, over 141.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3412, pruned_loss=0.09647, over 2780093.26 frames. utt_duration=250 frames, utt_pad_proportion=0.06981, over 44740.47 utterances.], batch size: 141, lr: 1.61e-04
+2022-09-19 17:02:16,648 INFO [train.py:885] (0/2) Epoch 29, batch 11600, loss[loss=0.3131, simple_loss=0.4137, pruned_loss=0.1063, over 13613.00 frames. utt_duration=98.6 frames, utt_pad_proportion=0.07852, over 560.00 utterances.], tot_loss[loss=0.2664, simple_loss=0.3411, pruned_loss=0.09587, over 2778185.86 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07117, over 45761.61 utterances.], batch size: 560, lr: 1.61e-04
+2022-09-19 17:02:46,181 INFO [train.py:885] (0/2) Epoch 29, batch 11650, loss[loss=0.5097, simple_loss=0.5889, pruned_loss=0.2153, over 12543.00 frames. utt_duration=63.5 frames, utt_pad_proportion=0.1419, over 810.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3427, pruned_loss=0.09683, over 2777869.29 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07162, over 45720.19 utterances.], batch size: 810, lr: 1.61e-04
+2022-09-19 17:03:15,327 INFO [train.py:885] (0/2) Epoch 29, batch 11700, loss[loss=0.2295, simple_loss=0.292, pruned_loss=0.08351, over 14078.00 frames. utt_duration=576 frames, utt_pad_proportion=0.05412, over 98.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3421, pruned_loss=0.09646, over 2774879.16 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07181, over 45468.89 utterances.], batch size: 98, lr: 1.61e-04
+2022-09-19 17:03:44,606 INFO [train.py:885] (0/2) Epoch 29, batch 11750, loss[loss=0.2416, simple_loss=0.3367, pruned_loss=0.07323, over 14308.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03967, over 262.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.3422, pruned_loss=0.09666, over 2772153.31 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07126, over 45550.95 utterances.], batch size: 262, lr: 1.61e-04
+2022-09-19 17:04:14,634 INFO [train.py:885] (0/2) Epoch 29, batch 11800, loss[loss=0.263, simple_loss=0.3386, pruned_loss=0.09371, over 14252.00 frames. utt_duration=371.8 frames, utt_pad_proportion=0.04412, over 154.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.345, pruned_loss=0.09794, over 2771460.75 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07421, over 47226.52 utterances.], batch size: 154, lr: 1.61e-04
+2022-09-19 17:04:44,507 INFO [train.py:885] (0/2) Epoch 29, batch 11850, loss[loss=0.2764, simple_loss=0.3504, pruned_loss=0.1012, over 14304.00 frames. utt_duration=373 frames, utt_pad_proportion=0.03858, over 154.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3432, pruned_loss=0.09784, over 2771658.35 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07251, over 45386.77 utterances.], batch size: 154, lr: 1.61e-04
+2022-09-19 17:05:13,613 INFO [train.py:885] (0/2) Epoch 29, batch 11900, loss[loss=0.2788, simple_loss=0.3876, pruned_loss=0.08497, over 13676.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07828, over 477.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3432, pruned_loss=0.09821, over 2775994.25 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07153, over 45054.25 utterances.], batch size: 477, lr: 1.61e-04
+2022-09-19 17:05:42,904 INFO [train.py:885] (0/2) Epoch 29, batch 11950, loss[loss=0.1895, simple_loss=0.2374, pruned_loss=0.07086, over 13016.00 frames. utt_duration=2084 frames, utt_pad_proportion=0.1281, over 25.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3446, pruned_loss=0.09839, over 2771018.44 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07445, over 46218.95 utterances.], batch size: 25, lr: 1.61e-04
+2022-09-19 17:06:12,829 INFO [train.py:885] (0/2) Epoch 29, batch 12000, loss[loss=0.2828, simple_loss=0.3355, pruned_loss=0.1151, over 14057.00 frames. utt_duration=575.1 frames, utt_pad_proportion=0.05566, over 98.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3472, pruned_loss=0.1002, over 2775967.64 frames. utt_duration=239.7 frames, utt_pad_proportion=0.0724, over 46618.51 utterances.], batch size: 98, lr: 1.61e-04
+2022-09-19 17:06:12,831 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 17:06:17,558 INFO [train.py:914] (0/2) Epoch 29, validation: loss=0.1935, simple_loss=0.2745, pruned_loss=0.05623, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 17:06:47,409 INFO [train.py:885] (0/2) Epoch 29, batch 12050, loss[loss=0.5515, simple_loss=0.6138, pruned_loss=0.2446, over 12517.00 frames. utt_duration=63.42 frames, utt_pad_proportion=0.143, over 810.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3485, pruned_loss=0.1008, over 2776427.98 frames. utt_duration=238.3 frames, utt_pad_proportion=0.0749, over 46893.66 utterances.], batch size: 810, lr: 1.61e-04
+2022-09-19 17:07:16,372 INFO [train.py:885] (0/2) Epoch 29, batch 12100, loss[loss=0.2795, simple_loss=0.3509, pruned_loss=0.1041, over 14338.00 frames. utt_duration=373.9 frames, utt_pad_proportion=0.03871, over 154.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3497, pruned_loss=0.1011, over 2781963.09 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07285, over 47509.16 utterances.], batch size: 154, lr: 1.61e-04
+2022-09-19 17:07:46,361 INFO [train.py:885] (0/2) Epoch 29, batch 12150, loss[loss=0.2293, simple_loss=0.3172, pruned_loss=0.07071, over 14328.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04006, over 167.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3448, pruned_loss=0.09886, over 2782886.40 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07089, over 45404.61 utterances.], batch size: 167, lr: 1.61e-04
+2022-09-19 17:08:15,885 INFO [train.py:885] (0/2) Epoch 29, batch 12200, loss[loss=0.3758, simple_loss=0.4224, pruned_loss=0.1646, over 14197.00 frames. utt_duration=170.9 frames, utt_pad_proportion=0.04531, over 335.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3465, pruned_loss=0.09994, over 2782136.43 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07116, over 46015.82 utterances.], batch size: 335, lr: 1.61e-04
+2022-09-19 17:08:46,148 INFO [train.py:885] (0/2) Epoch 29, batch 12250, loss[loss=0.2698, simple_loss=0.3504, pruned_loss=0.09454, over 14356.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03336, over 244.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3474, pruned_loss=0.1002, over 2783560.54 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07128, over 46812.08 utterances.], batch size: 244, lr: 1.61e-04
+2022-09-19 17:09:14,886 INFO [train.py:885] (0/2) Epoch 29, batch 12300, loss[loss=0.4612, simple_loss=0.5313, pruned_loss=0.1956, over 13123.00 frames. utt_duration=81.89 frames, utt_pad_proportion=0.1099, over 653.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3444, pruned_loss=0.09836, over 2779712.68 frames. utt_duration=242.9 frames, utt_pad_proportion=0.0728, over 46049.81 utterances.], batch size: 653, lr: 1.61e-04
+2022-09-19 17:09:43,757 INFO [train.py:885] (0/2) Epoch 29, batch 12350, loss[loss=0.2067, simple_loss=0.2681, pruned_loss=0.0726, over 14208.00 frames. utt_duration=639.9 frames, utt_pad_proportion=0.04774, over 89.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3451, pruned_loss=0.09878, over 2781414.74 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07096, over 45993.14 utterances.], batch size: 89, lr: 1.61e-04
+2022-09-19 17:10:14,637 INFO [train.py:885] (0/2) Epoch 29, batch 12400, loss[loss=0.201, simple_loss=0.278, pruned_loss=0.06197, over 14006.00 frames. utt_duration=573.1 frames, utt_pad_proportion=0.05747, over 98.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3455, pruned_loss=0.09925, over 2778154.19 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07192, over 46260.55 utterances.], batch size: 98, lr: 1.61e-04
+2022-09-19 17:10:44,411 INFO [train.py:885] (0/2) Epoch 29, batch 12450, loss[loss=0.5004, simple_loss=0.5884, pruned_loss=0.2062, over 12564.00 frames. utt_duration=63.61 frames, utt_pad_proportion=0.1404, over 810.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3467, pruned_loss=0.09958, over 2778688.80 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07302, over 46969.32 utterances.], batch size: 810, lr: 1.61e-04
+2022-09-19 17:11:13,659 INFO [train.py:885] (0/2) Epoch 29, batch 12500, loss[loss=0.2374, simple_loss=0.3107, pruned_loss=0.08204, over 14362.00 frames. utt_duration=480.2 frames, utt_pad_proportion=0.03766, over 120.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3438, pruned_loss=0.09877, over 2774237.53 frames. utt_duration=245 frames, utt_pad_proportion=0.07287, over 45566.15 utterances.], batch size: 120, lr: 1.61e-04
+2022-09-19 17:11:43,657 INFO [train.py:885] (0/2) Epoch 29, batch 12550, loss[loss=0.2382, simple_loss=0.321, pruned_loss=0.07774, over 14264.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.04086, over 180.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3449, pruned_loss=0.09869, over 2774587.25 frames. utt_duration=240.5 frames, utt_pad_proportion=0.0736, over 46434.87 utterances.], batch size: 180, lr: 1.61e-04
+2022-09-19 17:12:10,842 INFO [train.py:885] (0/2) Epoch 29, batch 12600, loss[loss=0.1934, simple_loss=0.2716, pruned_loss=0.05761, over 13211.00 frames. utt_duration=2034 frames, utt_pad_proportion=0.1009, over 26.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3462, pruned_loss=0.09929, over 2780955.85 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07176, over 46425.49 utterances.], batch size: 26, lr: 1.61e-04
+2022-09-19 17:12:21,869 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-29.pt
+2022-09-19 17:12:29,261 INFO [train.py:885] (0/2) Epoch 30, batch 0, loss[loss=0.3004, simple_loss=0.3668, pruned_loss=0.117, over 14204.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.04858, over 141.00 utterances.], tot_loss[loss=0.3004, simple_loss=0.3668, pruned_loss=0.117, over 14204.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.04858, over 141.00 utterances.], batch size: 141, lr: 1.58e-04
+2022-09-19 17:12:59,801 INFO [train.py:885] (0/2) Epoch 30, batch 50, loss[loss=0.5409, simple_loss=0.6064, pruned_loss=0.2377, over 12537.00 frames. utt_duration=63.45 frames, utt_pad_proportion=0.1425, over 810.00 utterances.], tot_loss[loss=0.2664, simple_loss=0.3421, pruned_loss=0.09531, over 623879.68 frames. utt_duration=234.6 frames, utt_pad_proportion=0.08094, over 10706.80 utterances.], batch size: 810, lr: 1.58e-04
+2022-09-19 17:13:28,144 INFO [train.py:885] (0/2) Epoch 30, batch 100, loss[loss=0.2322, simple_loss=0.2955, pruned_loss=0.08442, over 14079.00 frames. utt_duration=576 frames, utt_pad_proportion=0.05424, over 98.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3456, pruned_loss=0.09786, over 1109848.01 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07051, over 17800.05 utterances.], batch size: 98, lr: 1.58e-04
+2022-09-19 17:13:58,324 INFO [train.py:885] (0/2) Epoch 30, batch 150, loss[loss=0.5367, simple_loss=0.6104, pruned_loss=0.2315, over 12392.00 frames. utt_duration=62.75 frames, utt_pad_proportion=0.1521, over 810.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3476, pruned_loss=0.09981, over 1480033.02 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07097, over 24040.96 utterances.], batch size: 810, lr: 1.58e-04
+2022-09-19 17:14:27,972 INFO [train.py:885] (0/2) Epoch 30, batch 200, loss[loss=0.3011, simple_loss=0.3732, pruned_loss=0.1145, over 14323.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03844, over 283.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3494, pruned_loss=0.1007, over 1768326.15 frames. utt_duration=242.4 frames, utt_pad_proportion=0.06973, over 29364.79 utterances.], batch size: 283, lr: 1.58e-04
+2022-09-19 17:14:57,392 INFO [train.py:885] (0/2) Epoch 30, batch 250, loss[loss=0.1843, simple_loss=0.2541, pruned_loss=0.05724, over 13600.00 frames. utt_duration=1297 frames, utt_pad_proportion=0.09202, over 42.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3479, pruned_loss=0.09856, over 1990198.39 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07118, over 33076.66 utterances.], batch size: 42, lr: 1.58e-04
+2022-09-19 17:15:33,482 INFO [train.py:885] (0/2) Epoch 30, batch 300, loss[loss=0.1715, simple_loss=0.2461, pruned_loss=0.04843, over 13389.00 frames. utt_duration=1073 frames, utt_pad_proportion=0.0887, over 50.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3473, pruned_loss=0.09831, over 2165912.92 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07182, over 35843.71 utterances.], batch size: 50, lr: 1.58e-04
+2022-09-19 17:16:02,713 INFO [train.py:885] (0/2) Epoch 30, batch 350, loss[loss=0.2368, simple_loss=0.313, pruned_loss=0.08028, over 14137.00 frames. utt_duration=520.1 frames, utt_pad_proportion=0.04738, over 109.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3535, pruned_loss=0.102, over 2299429.49 frames. utt_duration=231.4 frames, utt_pad_proportion=0.07397, over 39998.40 utterances.], batch size: 109, lr: 1.58e-04
+2022-09-19 17:16:31,585 INFO [train.py:885] (0/2) Epoch 30, batch 400, loss[loss=0.2323, simple_loss=0.2978, pruned_loss=0.08339, over 14310.00 frames. utt_duration=478.3 frames, utt_pad_proportion=0.04148, over 120.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3494, pruned_loss=0.09927, over 2408702.23 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07155, over 41028.09 utterances.], batch size: 120, lr: 1.58e-04
+2022-09-19 17:17:01,564 INFO [train.py:885] (0/2) Epoch 30, batch 450, loss[loss=0.1956, simple_loss=0.2713, pruned_loss=0.05996, over 13704.00 frames. utt_duration=796.1 frames, utt_pad_proportion=0.07218, over 69.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3475, pruned_loss=0.09803, over 2484992.99 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07411, over 42235.03 utterances.], batch size: 69, lr: 1.58e-04
+2022-09-19 17:17:31,240 INFO [train.py:885] (0/2) Epoch 30, batch 500, loss[loss=0.1617, simple_loss=0.2094, pruned_loss=0.05694, over 13399.00 frames. utt_duration=1626 frames, utt_pad_proportion=0.09543, over 33.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3437, pruned_loss=0.09666, over 2546353.19 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07414, over 42484.60 utterances.], batch size: 33, lr: 1.58e-04
+2022-09-19 17:18:00,246 INFO [train.py:885] (0/2) Epoch 30, batch 550, loss[loss=0.1816, simple_loss=0.2525, pruned_loss=0.05539, over 13597.00 frames. utt_duration=1089 frames, utt_pad_proportion=0.08062, over 50.00 utterances.], tot_loss[loss=0.2644, simple_loss=0.3397, pruned_loss=0.09457, over 2595122.74 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07383, over 42027.64 utterances.], batch size: 50, lr: 1.58e-04
+2022-09-19 17:18:30,426 INFO [train.py:885] (0/2) Epoch 30, batch 600, loss[loss=0.2589, simple_loss=0.3112, pruned_loss=0.1033, over 12473.00 frames. utt_duration=1997 frames, utt_pad_proportion=0.1461, over 25.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3424, pruned_loss=0.09677, over 2634434.64 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07126, over 42851.33 utterances.], batch size: 25, lr: 1.58e-04
+2022-09-19 17:18:59,697 INFO [train.py:885] (0/2) Epoch 30, batch 650, loss[loss=0.2657, simple_loss=0.3504, pruned_loss=0.09052, over 14349.00 frames. utt_duration=220.5 frames, utt_pad_proportion=0.03728, over 262.00 utterances.], tot_loss[loss=0.2676, simple_loss=0.3417, pruned_loss=0.09673, over 2668573.79 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07034, over 42768.57 utterances.], batch size: 262, lr: 1.58e-04
+2022-09-19 17:19:29,578 INFO [train.py:885] (0/2) Epoch 30, batch 700, loss[loss=0.1993, simple_loss=0.2801, pruned_loss=0.05925, over 14146.00 frames. utt_duration=520.6 frames, utt_pad_proportion=0.04658, over 109.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3464, pruned_loss=0.09846, over 2692884.93 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07151, over 45645.28 utterances.], batch size: 109, lr: 1.58e-04
+2022-09-19 17:20:00,437 INFO [train.py:885] (0/2) Epoch 30, batch 750, loss[loss=0.3718, simple_loss=0.4553, pruned_loss=0.1441, over 13635.00 frames. utt_duration=98.72 frames, utt_pad_proportion=0.07742, over 560.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3478, pruned_loss=0.09906, over 2712607.99 frames. utt_duration=233 frames, utt_pad_proportion=0.07161, over 46862.97 utterances.], batch size: 560, lr: 1.58e-04
+2022-09-19 17:20:29,746 INFO [train.py:885] (0/2) Epoch 30, batch 800, loss[loss=0.2897, simple_loss=0.3973, pruned_loss=0.09099, over 13676.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07795, over 477.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3474, pruned_loss=0.09855, over 2723635.05 frames. utt_duration=230.7 frames, utt_pad_proportion=0.07334, over 47525.80 utterances.], batch size: 477, lr: 1.58e-04
+2022-09-19 17:20:59,499 INFO [train.py:885] (0/2) Epoch 30, batch 850, loss[loss=0.3163, simple_loss=0.3856, pruned_loss=0.1235, over 14358.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03372, over 244.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3478, pruned_loss=0.0986, over 2730505.90 frames. utt_duration=228.1 frames, utt_pad_proportion=0.07604, over 48194.95 utterances.], batch size: 244, lr: 1.58e-04
+2022-09-19 17:21:28,482 INFO [train.py:885] (0/2) Epoch 30, batch 900, loss[loss=0.2878, simple_loss=0.3858, pruned_loss=0.09491, over 13787.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07046, over 411.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3428, pruned_loss=0.0965, over 2740692.51 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07281, over 45661.29 utterances.], batch size: 411, lr: 1.58e-04
+2022-09-19 17:21:58,845 INFO [train.py:885] (0/2) Epoch 30, batch 950, loss[loss=0.2282, simple_loss=0.2988, pruned_loss=0.07879, over 14295.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.04355, over 110.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3465, pruned_loss=0.09895, over 2747088.64 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07552, over 46899.47 utterances.], batch size: 110, lr: 1.58e-04
+2022-09-19 17:22:28,390 INFO [train.py:885] (0/2) Epoch 30, batch 1000, loss[loss=0.2731, simple_loss=0.3553, pruned_loss=0.09543, over 14379.00 frames. utt_duration=345.7 frames, utt_pad_proportion=0.03691, over 167.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3446, pruned_loss=0.09799, over 2755896.81 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07282, over 45417.70 utterances.], batch size: 167, lr: 1.58e-04
+2022-09-19 17:22:58,741 INFO [train.py:885] (0/2) Epoch 30, batch 1050, loss[loss=0.2064, simple_loss=0.2818, pruned_loss=0.06549, over 14259.00 frames. utt_duration=642.3 frames, utt_pad_proportion=0.04132, over 89.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.345, pruned_loss=0.09829, over 2758498.17 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07253, over 45563.77 utterances.], batch size: 89, lr: 1.58e-04
+2022-09-19 17:23:28,776 INFO [train.py:885] (0/2) Epoch 30, batch 1100, loss[loss=0.3194, simple_loss=0.3822, pruned_loss=0.1283, over 14313.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.0387, over 283.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3444, pruned_loss=0.09797, over 2766819.26 frames. utt_duration=247 frames, utt_pad_proportion=0.07049, over 45069.36 utterances.], batch size: 283, lr: 1.58e-04
+2022-09-19 17:23:59,713 INFO [train.py:885] (0/2) Epoch 30, batch 1150, loss[loss=0.194, simple_loss=0.2671, pruned_loss=0.06045, over 13970.00 frames. utt_duration=708.7 frames, utt_pad_proportion=0.06259, over 79.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3437, pruned_loss=0.09721, over 2773490.31 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06927, over 44605.98 utterances.], batch size: 79, lr: 1.58e-04
+2022-09-19 17:24:29,779 INFO [train.py:885] (0/2) Epoch 30, batch 1200, loss[loss=0.2234, simple_loss=0.3149, pruned_loss=0.06599, over 14325.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.0372, over 180.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.3422, pruned_loss=0.09676, over 2777988.70 frames. utt_duration=254.5 frames, utt_pad_proportion=0.06944, over 43921.22 utterances.], batch size: 180, lr: 1.58e-04
+2022-09-19 17:24:59,809 INFO [train.py:885] (0/2) Epoch 30, batch 1250, loss[loss=0.2146, simple_loss=0.3004, pruned_loss=0.06437, over 14185.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04438, over 109.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3435, pruned_loss=0.09795, over 2778388.69 frames. utt_duration=253.4 frames, utt_pad_proportion=0.07111, over 44114.17 utterances.], batch size: 109, lr: 1.58e-04
+2022-09-19 17:25:29,488 INFO [train.py:885] (0/2) Epoch 30, batch 1300, loss[loss=0.3167, simple_loss=0.3884, pruned_loss=0.1224, over 14204.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04418, over 306.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3425, pruned_loss=0.09807, over 2778072.78 frames. utt_duration=252.8 frames, utt_pad_proportion=0.07104, over 44208.41 utterances.], batch size: 306, lr: 1.58e-04
+2022-09-19 17:25:59,582 INFO [train.py:885] (0/2) Epoch 30, batch 1350, loss[loss=0.2782, simple_loss=0.3496, pruned_loss=0.1034, over 14355.00 frames. utt_duration=372 frames, utt_pad_proportion=0.03868, over 155.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3438, pruned_loss=0.09763, over 2779082.13 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07152, over 45375.80 utterances.], batch size: 155, lr: 1.58e-04
+2022-09-19 17:26:29,011 INFO [train.py:885] (0/2) Epoch 30, batch 1400, loss[loss=0.2784, simple_loss=0.3737, pruned_loss=0.09148, over 13984.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05672, over 365.00 utterances.], tot_loss[loss=0.267, simple_loss=0.3413, pruned_loss=0.0964, over 2780600.53 frames. utt_duration=251.2 frames, utt_pad_proportion=0.0709, over 44541.05 utterances.], batch size: 365, lr: 1.58e-04
+2022-09-19 17:26:59,320 INFO [train.py:885] (0/2) Epoch 30, batch 1450, loss[loss=0.2838, simple_loss=0.3522, pruned_loss=0.1077, over 14280.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04043, over 225.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3426, pruned_loss=0.09693, over 2781435.43 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07169, over 45455.83 utterances.], batch size: 225, lr: 1.58e-04
+2022-09-19 17:27:28,879 INFO [train.py:885] (0/2) Epoch 30, batch 1500, loss[loss=0.1635, simple_loss=0.2397, pruned_loss=0.04364, over 13857.00 frames. utt_duration=804.6 frames, utt_pad_proportion=0.06332, over 69.00 utterances.], tot_loss[loss=0.2657, simple_loss=0.34, pruned_loss=0.09564, over 2778340.33 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07203, over 44764.60 utterances.], batch size: 69, lr: 1.58e-04
+2022-09-19 17:27:59,222 INFO [train.py:885] (0/2) Epoch 30, batch 1550, loss[loss=0.3188, simple_loss=0.4184, pruned_loss=0.1096, over 13629.00 frames. utt_duration=98.75 frames, utt_pad_proportion=0.0771, over 560.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3438, pruned_loss=0.09675, over 2777768.17 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07362, over 46859.91 utterances.], batch size: 560, lr: 1.57e-04
+2022-09-19 17:28:28,530 INFO [train.py:885] (0/2) Epoch 30, batch 1600, loss[loss=0.3595, simple_loss=0.4073, pruned_loss=0.1559, over 14215.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04378, over 306.00 utterances.], tot_loss[loss=0.2655, simple_loss=0.3406, pruned_loss=0.09519, over 2780343.34 frames. utt_duration=246.9 frames, utt_pad_proportion=0.0713, over 45306.46 utterances.], batch size: 306, lr: 1.57e-04
+2022-09-19 17:28:59,539 INFO [train.py:885] (0/2) Epoch 30, batch 1650, loss[loss=0.2685, simple_loss=0.3447, pruned_loss=0.09619, over 14347.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03627, over 210.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3417, pruned_loss=0.09594, over 2777049.58 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07213, over 45692.39 utterances.], batch size: 210, lr: 1.57e-04
+2022-09-19 17:29:29,631 INFO [train.py:885] (0/2) Epoch 30, batch 1700, loss[loss=0.1475, simple_loss=0.2129, pruned_loss=0.04102, over 13317.00 frames. utt_duration=1301 frames, utt_pad_proportion=0.09175, over 41.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3421, pruned_loss=0.09661, over 2778999.48 frames. utt_duration=246 frames, utt_pad_proportion=0.07065, over 45448.45 utterances.], batch size: 41, lr: 1.57e-04
+2022-09-19 17:29:59,471 INFO [train.py:885] (0/2) Epoch 30, batch 1750, loss[loss=0.2691, simple_loss=0.3518, pruned_loss=0.0932, over 14348.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03878, over 167.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.344, pruned_loss=0.09725, over 2779673.80 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07149, over 45967.55 utterances.], batch size: 167, lr: 1.57e-04
+2022-09-19 17:30:28,942 INFO [train.py:885] (0/2) Epoch 30, batch 1800, loss[loss=0.2904, simple_loss=0.3583, pruned_loss=0.1113, over 14337.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03965, over 167.00 utterances.], tot_loss[loss=0.268, simple_loss=0.343, pruned_loss=0.09649, over 2783514.10 frames. utt_duration=245 frames, utt_pad_proportion=0.06965, over 45722.77 utterances.], batch size: 167, lr: 1.57e-04
+2022-09-19 17:30:59,736 INFO [train.py:885] (0/2) Epoch 30, batch 1850, loss[loss=0.1898, simple_loss=0.2393, pruned_loss=0.07013, over 13334.00 frames. utt_duration=2053 frames, utt_pad_proportion=0.08416, over 26.00 utterances.], tot_loss[loss=0.2654, simple_loss=0.3401, pruned_loss=0.09536, over 2781311.68 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06905, over 44076.20 utterances.], batch size: 26, lr: 1.57e-04
+2022-09-19 17:31:29,215 INFO [train.py:885] (0/2) Epoch 30, batch 1900, loss[loss=0.2596, simple_loss=0.3463, pruned_loss=0.08651, over 14244.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04241, over 225.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3429, pruned_loss=0.09661, over 2782160.61 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07049, over 45396.43 utterances.], batch size: 225, lr: 1.57e-04
+2022-09-19 17:31:59,706 INFO [train.py:885] (0/2) Epoch 30, batch 1950, loss[loss=0.2713, simple_loss=0.3518, pruned_loss=0.09539, over 14278.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03988, over 180.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.343, pruned_loss=0.09629, over 2781476.75 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07071, over 45221.04 utterances.], batch size: 180, lr: 1.57e-04
+2022-09-19 17:32:29,121 INFO [train.py:885] (0/2) Epoch 30, batch 2000, loss[loss=0.2024, simple_loss=0.2935, pruned_loss=0.05566, over 14208.00 frames. utt_duration=640 frames, utt_pad_proportion=0.04613, over 89.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3432, pruned_loss=0.09729, over 2782277.17 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07081, over 44680.18 utterances.], batch size: 89, lr: 1.57e-04
+2022-09-19 17:32:42,396 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-368000.pt
+2022-09-19 17:32:59,757 INFO [train.py:885] (0/2) Epoch 30, batch 2050, loss[loss=0.1423, simple_loss=0.2119, pruned_loss=0.03638, over 13611.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.08293, over 50.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3441, pruned_loss=0.09747, over 2785676.53 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07051, over 45162.61 utterances.], batch size: 50, lr: 1.57e-04
+2022-09-19 17:33:29,453 INFO [train.py:885] (0/2) Epoch 30, batch 2100, loss[loss=0.2061, simple_loss=0.2578, pruned_loss=0.07718, over 13282.00 frames. utt_duration=1611 frames, utt_pad_proportion=0.1087, over 33.00 utterances.], tot_loss[loss=0.2676, simple_loss=0.3416, pruned_loss=0.0968, over 2784759.77 frames. utt_duration=254.1 frames, utt_pad_proportion=0.06835, over 44084.83 utterances.], batch size: 33, lr: 1.57e-04
+2022-09-19 17:33:59,622 INFO [train.py:885] (0/2) Epoch 30, batch 2150, loss[loss=0.2836, simple_loss=0.3673, pruned_loss=0.09997, over 14345.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03392, over 244.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.3419, pruned_loss=0.09644, over 2786883.09 frames. utt_duration=252.6 frames, utt_pad_proportion=0.06759, over 44396.45 utterances.], batch size: 244, lr: 1.57e-04
+2022-09-19 17:34:29,574 INFO [train.py:885] (0/2) Epoch 30, batch 2200, loss[loss=0.1771, simple_loss=0.2417, pruned_loss=0.05625, over 12791.00 frames. utt_duration=2048 frames, utt_pad_proportion=0.127, over 25.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.341, pruned_loss=0.09639, over 2782883.73 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06952, over 44389.73 utterances.], batch size: 25, lr: 1.57e-04
+2022-09-19 17:34:59,927 INFO [train.py:885] (0/2) Epoch 30, batch 2250, loss[loss=0.1713, simple_loss=0.2475, pruned_loss=0.04754, over 13437.00 frames. utt_duration=1313 frames, utt_pad_proportion=0.08272, over 41.00 utterances.], tot_loss[loss=0.267, simple_loss=0.3407, pruned_loss=0.09667, over 2777820.81 frames. utt_duration=252.7 frames, utt_pad_proportion=0.07133, over 44233.60 utterances.], batch size: 41, lr: 1.57e-04
+2022-09-19 17:35:30,095 INFO [train.py:885] (0/2) Epoch 30, batch 2300, loss[loss=0.4704, simple_loss=0.5221, pruned_loss=0.2093, over 13737.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07314, over 411.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3434, pruned_loss=0.09905, over 2780125.27 frames. utt_duration=251 frames, utt_pad_proportion=0.07008, over 44560.45 utterances.], batch size: 411, lr: 1.57e-04
+2022-09-19 17:35:59,922 INFO [train.py:885] (0/2) Epoch 30, batch 2350, loss[loss=0.1656, simple_loss=0.2432, pruned_loss=0.04398, over 13817.00 frames. utt_duration=802.4 frames, utt_pad_proportion=0.06585, over 69.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.342, pruned_loss=0.09714, over 2783676.88 frames. utt_duration=250.7 frames, utt_pad_proportion=0.06961, over 44681.75 utterances.], batch size: 69, lr: 1.57e-04
+2022-09-19 17:36:29,669 INFO [train.py:885] (0/2) Epoch 30, batch 2400, loss[loss=0.1868, simple_loss=0.2753, pruned_loss=0.04921, over 14149.00 frames. utt_duration=637.4 frames, utt_pad_proportion=0.05005, over 89.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3408, pruned_loss=0.09646, over 2784713.44 frames. utt_duration=255.5 frames, utt_pad_proportion=0.06785, over 43842.75 utterances.], batch size: 89, lr: 1.57e-04
+2022-09-19 17:36:59,916 INFO [train.py:885] (0/2) Epoch 30, batch 2450, loss[loss=0.1696, simple_loss=0.2444, pruned_loss=0.04743, over 13990.00 frames. utt_duration=709.9 frames, utt_pad_proportion=0.06101, over 79.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.3396, pruned_loss=0.09597, over 2785170.08 frames. utt_duration=259.4 frames, utt_pad_proportion=0.06609, over 43191.28 utterances.], batch size: 79, lr: 1.57e-04
+2022-09-19 17:37:29,461 INFO [train.py:885] (0/2) Epoch 30, batch 2500, loss[loss=0.3921, simple_loss=0.4306, pruned_loss=0.1767, over 14251.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04244, over 335.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3447, pruned_loss=0.09887, over 2788974.44 frames. utt_duration=253.1 frames, utt_pad_proportion=0.06643, over 44340.54 utterances.], batch size: 335, lr: 1.57e-04
+2022-09-19 17:37:59,874 INFO [train.py:885] (0/2) Epoch 30, batch 2550, loss[loss=0.2699, simple_loss=0.3456, pruned_loss=0.09704, over 14335.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03766, over 210.00 utterances.], tot_loss[loss=0.271, simple_loss=0.345, pruned_loss=0.09851, over 2783251.76 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07033, over 45040.94 utterances.], batch size: 210, lr: 1.57e-04
+2022-09-19 17:38:29,226 INFO [train.py:885] (0/2) Epoch 30, batch 2600, loss[loss=0.2807, simple_loss=0.3534, pruned_loss=0.104, over 14372.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.0324, over 244.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3441, pruned_loss=0.09799, over 2781137.24 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06996, over 44777.24 utterances.], batch size: 244, lr: 1.57e-04
+2022-09-19 17:38:59,594 INFO [train.py:885] (0/2) Epoch 30, batch 2650, loss[loss=0.1532, simple_loss=0.2207, pruned_loss=0.04285, over 13250.00 frames. utt_duration=1608 frames, utt_pad_proportion=0.1084, over 33.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3434, pruned_loss=0.09668, over 2779033.08 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07019, over 45544.08 utterances.], batch size: 33, lr: 1.57e-04
+2022-09-19 17:39:29,854 INFO [train.py:885] (0/2) Epoch 30, batch 2700, loss[loss=0.1648, simple_loss=0.2385, pruned_loss=0.04551, over 13818.00 frames. utt_duration=802.4 frames, utt_pad_proportion=0.0659, over 69.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3453, pruned_loss=0.09785, over 2783465.58 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07, over 45759.46 utterances.], batch size: 69, lr: 1.57e-04
+2022-09-19 17:39:59,289 INFO [train.py:885] (0/2) Epoch 30, batch 2750, loss[loss=0.16, simple_loss=0.2314, pruned_loss=0.04427, over 13245.00 frames. utt_duration=1294 frames, utt_pad_proportion=0.09594, over 41.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3426, pruned_loss=0.09636, over 2783694.82 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07034, over 44603.76 utterances.], batch size: 41, lr: 1.57e-04
+2022-09-19 17:40:30,303 INFO [train.py:885] (0/2) Epoch 30, batch 2800, loss[loss=0.2404, simple_loss=0.3209, pruned_loss=0.07996, over 14316.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03758, over 180.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3434, pruned_loss=0.09777, over 2779400.77 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07258, over 45082.04 utterances.], batch size: 180, lr: 1.57e-04
+2022-09-19 17:41:00,120 INFO [train.py:885] (0/2) Epoch 30, batch 2850, loss[loss=0.1498, simple_loss=0.2125, pruned_loss=0.04351, over 13635.00 frames. utt_duration=1654 frames, utt_pad_proportion=0.08191, over 33.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3463, pruned_loss=0.09909, over 2779107.79 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07264, over 46430.55 utterances.], batch size: 33, lr: 1.57e-04
+2022-09-19 17:41:30,458 INFO [train.py:885] (0/2) Epoch 30, batch 2900, loss[loss=0.3016, simple_loss=0.3705, pruned_loss=0.1164, over 14315.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03855, over 195.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3475, pruned_loss=0.09993, over 2783413.33 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07131, over 46639.29 utterances.], batch size: 195, lr: 1.57e-04
+2022-09-19 17:41:59,896 INFO [train.py:885] (0/2) Epoch 30, batch 2950, loss[loss=0.3263, simple_loss=0.373, pruned_loss=0.1399, over 14347.00 frames. utt_duration=374.2 frames, utt_pad_proportion=0.03808, over 154.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3438, pruned_loss=0.09876, over 2781028.57 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07048, over 44993.78 utterances.], batch size: 154, lr: 1.57e-04
+2022-09-19 17:42:29,320 INFO [train.py:885] (0/2) Epoch 30, batch 3000, loss[loss=0.1431, simple_loss=0.2087, pruned_loss=0.03879, over 12982.00 frames. utt_duration=1575 frames, utt_pad_proportion=0.1111, over 33.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3485, pruned_loss=0.1005, over 2781674.90 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07208, over 46727.55 utterances.], batch size: 33, lr: 1.57e-04
+2022-09-19 17:42:29,321 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 17:42:33,481 INFO [train.py:914] (0/2) Epoch 30, validation: loss=0.1933, simple_loss=0.2747, pruned_loss=0.05601, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 17:43:10,847 INFO [train.py:885] (0/2) Epoch 30, batch 3050, loss[loss=0.176, simple_loss=0.2547, pruned_loss=0.04869, over 14075.00 frames. utt_duration=714.2 frames, utt_pad_proportion=0.05524, over 79.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3447, pruned_loss=0.09846, over 2779419.65 frames. utt_duration=242.5 frames, utt_pad_proportion=0.0724, over 46128.86 utterances.], batch size: 79, lr: 1.57e-04
+2022-09-19 17:43:40,448 INFO [train.py:885] (0/2) Epoch 30, batch 3100, loss[loss=0.1685, simple_loss=0.2488, pruned_loss=0.04412, over 13796.00 frames. utt_duration=921.3 frames, utt_pad_proportion=0.07503, over 60.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3426, pruned_loss=0.09774, over 2779696.32 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07185, over 44603.61 utterances.], batch size: 60, lr: 1.57e-04
+2022-09-19 17:44:09,863 INFO [train.py:885] (0/2) Epoch 30, batch 3150, loss[loss=0.1833, simple_loss=0.2643, pruned_loss=0.05115, over 14198.00 frames. utt_duration=522.4 frames, utt_pad_proportion=0.04327, over 109.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3445, pruned_loss=0.09887, over 2785928.29 frames. utt_duration=247.9 frames, utt_pad_proportion=0.0706, over 45224.58 utterances.], batch size: 109, lr: 1.57e-04
+2022-09-19 17:44:39,753 INFO [train.py:885] (0/2) Epoch 30, batch 3200, loss[loss=0.1952, simple_loss=0.2681, pruned_loss=0.06114, over 14112.00 frames. utt_duration=635.7 frames, utt_pad_proportion=0.05409, over 89.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3442, pruned_loss=0.09864, over 2791381.58 frames. utt_duration=249.4 frames, utt_pad_proportion=0.06692, over 45030.58 utterances.], batch size: 89, lr: 1.57e-04
+2022-09-19 17:45:09,376 INFO [train.py:885] (0/2) Epoch 30, batch 3250, loss[loss=0.3038, simple_loss=0.408, pruned_loss=0.09977, over 13657.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08016, over 477.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3408, pruned_loss=0.09616, over 2788412.74 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06696, over 44182.47 utterances.], batch size: 477, lr: 1.57e-04
+2022-09-19 17:45:38,708 INFO [train.py:885] (0/2) Epoch 30, batch 3300, loss[loss=0.2876, simple_loss=0.3824, pruned_loss=0.09643, over 13831.00 frames. utt_duration=136.1 frames, utt_pad_proportion=0.06804, over 411.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.3417, pruned_loss=0.09659, over 2787355.64 frames. utt_duration=249.8 frames, utt_pad_proportion=0.0678, over 44896.45 utterances.], batch size: 411, lr: 1.57e-04
+2022-09-19 17:46:07,993 INFO [train.py:885] (0/2) Epoch 30, batch 3350, loss[loss=0.1787, simple_loss=0.2592, pruned_loss=0.04906, over 12683.00 frames. utt_duration=2030 frames, utt_pad_proportion=0.1055, over 25.00 utterances.], tot_loss[loss=0.2676, simple_loss=0.3421, pruned_loss=0.09655, over 2787036.29 frames. utt_duration=251.9 frames, utt_pad_proportion=0.06795, over 44512.20 utterances.], batch size: 25, lr: 1.57e-04
+2022-09-19 17:46:38,257 INFO [train.py:885] (0/2) Epoch 30, batch 3400, loss[loss=0.3553, simple_loss=0.4109, pruned_loss=0.1499, over 14266.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04109, over 335.00 utterances.], tot_loss[loss=0.2654, simple_loss=0.3402, pruned_loss=0.09528, over 2783527.32 frames. utt_duration=251 frames, utt_pad_proportion=0.06984, over 44614.90 utterances.], batch size: 335, lr: 1.57e-04
+2022-09-19 17:47:08,398 INFO [train.py:885] (0/2) Epoch 30, batch 3450, loss[loss=0.2979, simple_loss=0.3949, pruned_loss=0.1005, over 13990.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05588, over 365.00 utterances.], tot_loss[loss=0.2663, simple_loss=0.3414, pruned_loss=0.09557, over 2785653.55 frames. utt_duration=248.6 frames, utt_pad_proportion=0.0687, over 45094.50 utterances.], batch size: 365, lr: 1.57e-04
+2022-09-19 17:47:37,596 INFO [train.py:885] (0/2) Epoch 30, batch 3500, loss[loss=0.1679, simple_loss=0.2527, pruned_loss=0.04155, over 13842.00 frames. utt_duration=924.3 frames, utt_pad_proportion=0.072, over 60.00 utterances.], tot_loss[loss=0.2659, simple_loss=0.3415, pruned_loss=0.09519, over 2785759.36 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06904, over 44978.24 utterances.], batch size: 60, lr: 1.57e-04
+2022-09-19 17:48:07,110 INFO [train.py:885] (0/2) Epoch 30, batch 3550, loss[loss=0.2234, simple_loss=0.2904, pruned_loss=0.07822, over 14159.00 frames. utt_duration=638 frames, utt_pad_proportion=0.0492, over 89.00 utterances.], tot_loss[loss=0.2646, simple_loss=0.3398, pruned_loss=0.09474, over 2786294.93 frames. utt_duration=255.7 frames, utt_pad_proportion=0.06783, over 43837.22 utterances.], batch size: 89, lr: 1.57e-04
+2022-09-19 17:48:43,591 INFO [train.py:885] (0/2) Epoch 30, batch 3600, loss[loss=0.2159, simple_loss=0.2937, pruned_loss=0.06903, over 14168.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.04525, over 109.00 utterances.], tot_loss[loss=0.2648, simple_loss=0.3398, pruned_loss=0.09487, over 2788258.62 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06713, over 44100.63 utterances.], batch size: 109, lr: 1.57e-04
+2022-09-19 17:49:13,384 INFO [train.py:885] (0/2) Epoch 30, batch 3650, loss[loss=0.2656, simple_loss=0.3474, pruned_loss=0.09196, over 14306.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03962, over 262.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3448, pruned_loss=0.09717, over 2784035.43 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07087, over 45966.11 utterances.], batch size: 262, lr: 1.57e-04
+2022-09-19 17:49:42,584 INFO [train.py:885] (0/2) Epoch 30, batch 3700, loss[loss=0.2663, simple_loss=0.3528, pruned_loss=0.08989, over 14299.00 frames. utt_duration=344 frames, utt_pad_proportion=0.04165, over 167.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3467, pruned_loss=0.09788, over 2777363.56 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07374, over 47103.90 utterances.], batch size: 167, lr: 1.57e-04
+2022-09-19 17:50:12,361 INFO [train.py:885] (0/2) Epoch 30, batch 3750, loss[loss=0.4396, simple_loss=0.5086, pruned_loss=0.1853, over 13622.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08211, over 477.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3453, pruned_loss=0.09736, over 2781371.92 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07158, over 45916.24 utterances.], batch size: 477, lr: 1.57e-04
+2022-09-19 17:50:42,048 INFO [train.py:885] (0/2) Epoch 30, batch 3800, loss[loss=0.2633, simple_loss=0.3302, pruned_loss=0.09819, over 14037.00 frames. utt_duration=574.5 frames, utt_pad_proportion=0.0567, over 98.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3474, pruned_loss=0.09912, over 2780576.76 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07269, over 46568.50 utterances.], batch size: 98, lr: 1.57e-04
+2022-09-19 17:51:11,544 INFO [train.py:885] (0/2) Epoch 30, batch 3850, loss[loss=0.1623, simple_loss=0.2358, pruned_loss=0.0444, over 13830.00 frames. utt_duration=803.3 frames, utt_pad_proportion=0.0648, over 69.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3425, pruned_loss=0.09662, over 2783345.72 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07007, over 44472.25 utterances.], batch size: 69, lr: 1.57e-04
+2022-09-19 17:51:40,751 INFO [train.py:885] (0/2) Epoch 30, batch 3900, loss[loss=0.1748, simple_loss=0.2446, pruned_loss=0.0525, over 13829.00 frames. utt_duration=803.2 frames, utt_pad_proportion=0.06392, over 69.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3456, pruned_loss=0.09819, over 2784369.68 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07085, over 45621.40 utterances.], batch size: 69, lr: 1.57e-04
+2022-09-19 17:52:10,783 INFO [train.py:885] (0/2) Epoch 30, batch 3950, loss[loss=0.2266, simple_loss=0.2842, pruned_loss=0.08452, over 14036.00 frames. utt_duration=937.2 frames, utt_pad_proportion=0.05713, over 60.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3481, pruned_loss=0.09946, over 2785797.29 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07167, over 46666.68 utterances.], batch size: 60, lr: 1.57e-04
+2022-09-19 17:52:40,208 INFO [train.py:885] (0/2) Epoch 30, batch 4000, loss[loss=0.2734, simple_loss=0.3509, pruned_loss=0.09789, over 14345.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03709, over 283.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3467, pruned_loss=0.09899, over 2778731.47 frames. utt_duration=240 frames, utt_pad_proportion=0.07372, over 46593.14 utterances.], batch size: 283, lr: 1.57e-04
+2022-09-19 17:53:10,075 INFO [train.py:885] (0/2) Epoch 30, batch 4050, loss[loss=0.4, simple_loss=0.441, pruned_loss=0.1795, over 14247.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04202, over 335.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3489, pruned_loss=0.09985, over 2777679.08 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07536, over 47927.85 utterances.], batch size: 335, lr: 1.57e-04
+2022-09-19 17:53:39,298 INFO [train.py:885] (0/2) Epoch 30, batch 4100, loss[loss=0.1635, simple_loss=0.2291, pruned_loss=0.04895, over 13608.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.0847, over 50.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3479, pruned_loss=0.09922, over 2779413.02 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07438, over 47509.45 utterances.], batch size: 50, lr: 1.57e-04
+2022-09-19 17:54:09,329 INFO [train.py:885] (0/2) Epoch 30, batch 4150, loss[loss=0.2697, simple_loss=0.382, pruned_loss=0.07874, over 13665.00 frames. utt_duration=116 frames, utt_pad_proportion=0.079, over 477.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3463, pruned_loss=0.09863, over 2781180.44 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07223, over 46403.92 utterances.], batch size: 477, lr: 1.57e-04
+2022-09-19 17:54:39,439 INFO [train.py:885] (0/2) Epoch 30, batch 4200, loss[loss=0.2435, simple_loss=0.3137, pruned_loss=0.08667, over 13928.00 frames. utt_duration=706.7 frames, utt_pad_proportion=0.06522, over 79.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3487, pruned_loss=0.09953, over 2782881.46 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07241, over 47382.01 utterances.], batch size: 79, lr: 1.57e-04
+2022-09-19 17:55:09,527 INFO [train.py:885] (0/2) Epoch 30, batch 4250, loss[loss=0.2052, simple_loss=0.2738, pruned_loss=0.06835, over 14103.00 frames. utt_duration=576.9 frames, utt_pad_proportion=0.0542, over 98.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3491, pruned_loss=0.09955, over 2787231.48 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07029, over 47660.85 utterances.], batch size: 98, lr: 1.57e-04
+2022-09-19 17:55:38,525 INFO [train.py:885] (0/2) Epoch 30, batch 4300, loss[loss=0.2256, simple_loss=0.3076, pruned_loss=0.0718, over 14173.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04428, over 109.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3433, pruned_loss=0.09729, over 2789859.39 frames. utt_duration=250.7 frames, utt_pad_proportion=0.06745, over 44766.15 utterances.], batch size: 109, lr: 1.57e-04
+2022-09-19 17:56:08,490 INFO [train.py:885] (0/2) Epoch 30, batch 4350, loss[loss=0.4454, simple_loss=0.5161, pruned_loss=0.1874, over 13588.00 frames. utt_duration=98.41 frames, utt_pad_proportion=0.08024, over 560.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3451, pruned_loss=0.09797, over 2785945.32 frames. utt_duration=244.6 frames, utt_pad_proportion=0.06966, over 45838.24 utterances.], batch size: 560, lr: 1.57e-04
+2022-09-19 17:56:38,122 INFO [train.py:885] (0/2) Epoch 30, batch 4400, loss[loss=0.3726, simple_loss=0.4664, pruned_loss=0.1394, over 13200.00 frames. utt_duration=82.42 frames, utt_pad_proportion=0.1041, over 653.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3472, pruned_loss=0.09902, over 2783586.37 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07175, over 46831.41 utterances.], batch size: 653, lr: 1.57e-04
+2022-09-19 17:57:07,439 INFO [train.py:885] (0/2) Epoch 30, batch 4450, loss[loss=0.1922, simple_loss=0.2691, pruned_loss=0.05766, over 14170.00 frames. utt_duration=579.6 frames, utt_pad_proportion=0.04821, over 98.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.344, pruned_loss=0.09718, over 2783892.13 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07172, over 45864.71 utterances.], batch size: 98, lr: 1.57e-04
+2022-09-19 17:57:37,074 INFO [train.py:885] (0/2) Epoch 30, batch 4500, loss[loss=0.2669, simple_loss=0.3421, pruned_loss=0.0959, over 14248.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04529, over 141.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3466, pruned_loss=0.09832, over 2779393.41 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07421, over 47091.76 utterances.], batch size: 141, lr: 1.57e-04
+2022-09-19 17:58:07,543 INFO [train.py:885] (0/2) Epoch 30, batch 4550, loss[loss=0.1729, simple_loss=0.2479, pruned_loss=0.04891, over 13862.00 frames. utt_duration=925.4 frames, utt_pad_proportion=0.06992, over 60.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3439, pruned_loss=0.09668, over 2775237.29 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07455, over 46638.79 utterances.], batch size: 60, lr: 1.57e-04
+2022-09-19 17:58:37,425 INFO [train.py:885] (0/2) Epoch 30, batch 4600, loss[loss=0.2853, simple_loss=0.3988, pruned_loss=0.08588, over 13567.00 frames. utt_duration=115.3 frames, utt_pad_proportion=0.08496, over 477.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3443, pruned_loss=0.09704, over 2774535.58 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07356, over 46444.30 utterances.], batch size: 477, lr: 1.57e-04
+2022-09-19 17:59:07,606 INFO [train.py:885] (0/2) Epoch 30, batch 4650, loss[loss=0.2033, simple_loss=0.2878, pruned_loss=0.05944, over 14224.00 frames. utt_duration=640.8 frames, utt_pad_proportion=0.04496, over 89.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3432, pruned_loss=0.09695, over 2776495.55 frames. utt_duration=243.1 frames, utt_pad_proportion=0.0725, over 45967.89 utterances.], batch size: 89, lr: 1.57e-04
+2022-09-19 17:59:37,077 INFO [train.py:885] (0/2) Epoch 30, batch 4700, loss[loss=0.3432, simple_loss=0.3974, pruned_loss=0.1445, over 14275.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.0392, over 141.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3432, pruned_loss=0.09705, over 2778679.68 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07048, over 45346.40 utterances.], batch size: 141, lr: 1.57e-04
+2022-09-19 18:00:07,662 INFO [train.py:885] (0/2) Epoch 30, batch 4750, loss[loss=0.2925, simple_loss=0.3651, pruned_loss=0.1099, over 14211.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04388, over 306.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3458, pruned_loss=0.09826, over 2778916.84 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07042, over 46574.01 utterances.], batch size: 306, lr: 1.57e-04
+2022-09-19 18:00:38,470 INFO [train.py:885] (0/2) Epoch 30, batch 4800, loss[loss=0.2847, simple_loss=0.365, pruned_loss=0.1022, over 14288.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03978, over 225.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3468, pruned_loss=0.09855, over 2774575.88 frames. utt_duration=239.1 frames, utt_pad_proportion=0.0724, over 46703.92 utterances.], batch size: 225, lr: 1.57e-04
+2022-09-19 18:01:08,260 INFO [train.py:885] (0/2) Epoch 30, batch 4850, loss[loss=0.2819, simple_loss=0.357, pruned_loss=0.1034, over 14283.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03971, over 180.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3457, pruned_loss=0.09818, over 2775509.85 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07279, over 46338.27 utterances.], batch size: 180, lr: 1.57e-04
+2022-09-19 18:01:37,535 INFO [train.py:885] (0/2) Epoch 30, batch 4900, loss[loss=0.1876, simple_loss=0.2618, pruned_loss=0.05668, over 13468.00 frames. utt_duration=1079 frames, utt_pad_proportion=0.08633, over 50.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3441, pruned_loss=0.09753, over 2782067.93 frames. utt_duration=249.6 frames, utt_pad_proportion=0.06939, over 44841.77 utterances.], batch size: 50, lr: 1.57e-04
+2022-09-19 18:02:07,429 INFO [train.py:885] (0/2) Epoch 30, batch 4950, loss[loss=0.253, simple_loss=0.3415, pruned_loss=0.08226, over 14295.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03896, over 180.00 utterances.], tot_loss[loss=0.2662, simple_loss=0.3403, pruned_loss=0.09599, over 2783195.09 frames. utt_duration=258.3 frames, utt_pad_proportion=0.06889, over 43349.48 utterances.], batch size: 180, lr: 1.57e-04
+2022-09-19 18:02:37,255 INFO [train.py:885] (0/2) Epoch 30, batch 5000, loss[loss=0.2526, simple_loss=0.3439, pruned_loss=0.08067, over 14347.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03676, over 210.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.3414, pruned_loss=0.09626, over 2780225.64 frames. utt_duration=251.5 frames, utt_pad_proportion=0.0697, over 44481.89 utterances.], batch size: 210, lr: 1.57e-04
+2022-09-19 18:03:07,865 INFO [train.py:885] (0/2) Epoch 30, batch 5050, loss[loss=0.1533, simple_loss=0.2362, pruned_loss=0.03521, over 13583.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08633, over 50.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3418, pruned_loss=0.09658, over 2784936.11 frames. utt_duration=253.1 frames, utt_pad_proportion=0.06778, over 44279.72 utterances.], batch size: 50, lr: 1.57e-04
+2022-09-19 18:03:38,261 INFO [train.py:885] (0/2) Epoch 30, batch 5100, loss[loss=0.3139, simple_loss=0.4003, pruned_loss=0.1137, over 14028.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05681, over 366.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3457, pruned_loss=0.09796, over 2782511.61 frames. utt_duration=240.2 frames, utt_pad_proportion=0.0699, over 46624.39 utterances.], batch size: 366, lr: 1.57e-04
+2022-09-19 18:04:07,791 INFO [train.py:885] (0/2) Epoch 30, batch 5150, loss[loss=0.3433, simple_loss=0.3995, pruned_loss=0.1435, over 14378.00 frames. utt_duration=345.8 frames, utt_pad_proportion=0.03683, over 167.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3478, pruned_loss=0.0993, over 2784176.43 frames. utt_duration=238.2 frames, utt_pad_proportion=0.0705, over 47043.23 utterances.], batch size: 167, lr: 1.57e-04
+2022-09-19 18:04:37,091 INFO [train.py:885] (0/2) Epoch 30, batch 5200, loss[loss=0.2591, simple_loss=0.3266, pruned_loss=0.09582, over 14308.00 frames. utt_duration=478.3 frames, utt_pad_proportion=0.03771, over 120.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3477, pruned_loss=0.0996, over 2786394.83 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07103, over 46692.43 utterances.], batch size: 120, lr: 1.57e-04
+2022-09-19 18:05:07,272 INFO [train.py:885] (0/2) Epoch 30, batch 5250, loss[loss=0.3363, simple_loss=0.3824, pruned_loss=0.1451, over 14236.00 frames. utt_duration=523.8 frames, utt_pad_proportion=0.04061, over 109.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.345, pruned_loss=0.098, over 2784839.85 frames. utt_duration=243 frames, utt_pad_proportion=0.0694, over 46120.51 utterances.], batch size: 109, lr: 1.57e-04
+2022-09-19 18:05:36,732 INFO [train.py:885] (0/2) Epoch 30, batch 5300, loss[loss=0.2761, simple_loss=0.3749, pruned_loss=0.08868, over 14010.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.0558, over 365.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3456, pruned_loss=0.09816, over 2782667.13 frames. utt_duration=238.8 frames, utt_pad_proportion=0.0702, over 46903.58 utterances.], batch size: 365, lr: 1.57e-04
+2022-09-19 18:06:07,324 INFO [train.py:885] (0/2) Epoch 30, batch 5350, loss[loss=0.5196, simple_loss=0.6048, pruned_loss=0.2172, over 12490.00 frames. utt_duration=63.25 frames, utt_pad_proportion=0.1453, over 810.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3487, pruned_loss=0.1, over 2778891.53 frames. utt_duration=231.9 frames, utt_pad_proportion=0.07399, over 48230.72 utterances.], batch size: 810, lr: 1.57e-04
+2022-09-19 18:06:36,967 INFO [train.py:885] (0/2) Epoch 30, batch 5400, loss[loss=0.1758, simple_loss=0.2356, pruned_loss=0.05803, over 12151.00 frames. utt_duration=2027 frames, utt_pad_proportion=0.1574, over 24.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3483, pruned_loss=0.0994, over 2783838.38 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07257, over 47668.61 utterances.], batch size: 24, lr: 1.57e-04
+2022-09-19 18:07:07,240 INFO [train.py:885] (0/2) Epoch 30, batch 5450, loss[loss=0.3043, simple_loss=0.3901, pruned_loss=0.1093, over 14035.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05401, over 365.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3461, pruned_loss=0.09795, over 2788109.18 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07079, over 46845.31 utterances.], batch size: 365, lr: 1.57e-04
+2022-09-19 18:07:37,251 INFO [train.py:885] (0/2) Epoch 30, batch 5500, loss[loss=0.4398, simple_loss=0.5144, pruned_loss=0.1826, over 13603.00 frames. utt_duration=98.53 frames, utt_pad_proportion=0.07916, over 560.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3454, pruned_loss=0.09823, over 2782036.90 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07077, over 46480.31 utterances.], batch size: 560, lr: 1.57e-04
+2022-09-19 18:08:07,298 INFO [train.py:885] (0/2) Epoch 30, batch 5550, loss[loss=0.2865, simple_loss=0.3634, pruned_loss=0.1048, over 14225.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.0432, over 306.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3423, pruned_loss=0.09672, over 2786867.06 frames. utt_duration=252.7 frames, utt_pad_proportion=0.068, over 44366.63 utterances.], batch size: 306, lr: 1.57e-04
+2022-09-19 18:08:37,080 INFO [train.py:885] (0/2) Epoch 30, batch 5600, loss[loss=0.291, simple_loss=0.4038, pruned_loss=0.08909, over 13616.00 frames. utt_duration=98.55 frames, utt_pad_proportion=0.07899, over 560.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3448, pruned_loss=0.09798, over 2782663.28 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06961, over 45271.26 utterances.], batch size: 560, lr: 1.57e-04
+2022-09-19 18:09:07,863 INFO [train.py:885] (0/2) Epoch 30, batch 5650, loss[loss=0.1446, simple_loss=0.2056, pruned_loss=0.04187, over 12664.00 frames. utt_duration=2028 frames, utt_pad_proportion=0.1342, over 25.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.347, pruned_loss=0.09933, over 2781809.47 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07037, over 46351.51 utterances.], batch size: 25, lr: 1.57e-04
+2022-09-19 18:09:37,538 INFO [train.py:885] (0/2) Epoch 30, batch 5700, loss[loss=0.3222, simple_loss=0.3824, pruned_loss=0.131, over 14223.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04347, over 306.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3467, pruned_loss=0.1001, over 2778717.67 frames. utt_duration=240.9 frames, utt_pad_proportion=0.072, over 46429.83 utterances.], batch size: 306, lr: 1.57e-04
+2022-09-19 18:10:08,103 INFO [train.py:885] (0/2) Epoch 30, batch 5750, loss[loss=0.1803, simple_loss=0.2342, pruned_loss=0.06323, over 13091.00 frames. utt_duration=1588 frames, utt_pad_proportion=0.121, over 33.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3503, pruned_loss=0.1001, over 2777632.25 frames. utt_duration=226 frames, utt_pad_proportion=0.07444, over 49489.51 utterances.], batch size: 33, lr: 1.57e-04
+2022-09-19 18:10:37,914 INFO [train.py:885] (0/2) Epoch 30, batch 5800, loss[loss=0.1745, simple_loss=0.2485, pruned_loss=0.05029, over 13509.00 frames. utt_duration=1288 frames, utt_pad_proportion=0.09612, over 42.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3463, pruned_loss=0.09883, over 2771524.99 frames. utt_duration=233.5 frames, utt_pad_proportion=0.07307, over 47790.86 utterances.], batch size: 42, lr: 1.57e-04
+2022-09-19 18:11:07,827 INFO [train.py:885] (0/2) Epoch 30, batch 5850, loss[loss=0.2681, simple_loss=0.3453, pruned_loss=0.0955, over 14352.00 frames. utt_duration=374.3 frames, utt_pad_proportion=0.03774, over 154.00 utterances.], tot_loss[loss=0.27, simple_loss=0.345, pruned_loss=0.09747, over 2773856.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07279, over 47215.74 utterances.], batch size: 154, lr: 1.57e-04
+2022-09-19 18:11:43,955 INFO [train.py:885] (0/2) Epoch 30, batch 5900, loss[loss=0.174, simple_loss=0.247, pruned_loss=0.05055, over 13467.00 frames. utt_duration=1315 frames, utt_pad_proportion=0.07962, over 41.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3443, pruned_loss=0.09707, over 2776160.71 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07244, over 46809.85 utterances.], batch size: 41, lr: 1.57e-04
+2022-09-19 18:12:13,929 INFO [train.py:885] (0/2) Epoch 30, batch 5950, loss[loss=0.1575, simple_loss=0.2032, pruned_loss=0.05593, over 12718.00 frames. utt_duration=2122 frames, utt_pad_proportion=0.1247, over 24.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3459, pruned_loss=0.09884, over 2774146.37 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07443, over 46774.27 utterances.], batch size: 24, lr: 1.57e-04
+2022-09-19 18:12:51,025 INFO [train.py:885] (0/2) Epoch 30, batch 6000, loss[loss=0.284, simple_loss=0.3699, pruned_loss=0.09902, over 13993.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05682, over 365.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3469, pruned_loss=0.09891, over 2777217.83 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07249, over 46881.62 utterances.], batch size: 365, lr: 1.57e-04
+2022-09-19 18:12:51,027 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 18:12:55,276 INFO [train.py:914] (0/2) Epoch 30, validation: loss=0.1869, simple_loss=0.266, pruned_loss=0.05387, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 18:13:08,009 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-372000.pt
+2022-09-19 18:13:26,387 INFO [train.py:885] (0/2) Epoch 30, batch 6050, loss[loss=0.1935, simple_loss=0.267, pruned_loss=0.06004, over 13592.00 frames. utt_duration=1089 frames, utt_pad_proportion=0.08516, over 50.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3483, pruned_loss=0.09935, over 2780351.53 frames. utt_duration=235 frames, utt_pad_proportion=0.07192, over 47632.89 utterances.], batch size: 50, lr: 1.57e-04
+2022-09-19 18:13:56,162 INFO [train.py:885] (0/2) Epoch 30, batch 6100, loss[loss=0.261, simple_loss=0.3349, pruned_loss=0.09354, over 14274.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.038, over 154.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3463, pruned_loss=0.09877, over 2775918.35 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07231, over 46506.76 utterances.], batch size: 154, lr: 1.57e-04
+2022-09-19 18:14:27,750 INFO [train.py:885] (0/2) Epoch 30, batch 6150, loss[loss=0.1996, simple_loss=0.2705, pruned_loss=0.06436, over 13774.00 frames. utt_duration=919.7 frames, utt_pad_proportion=0.07662, over 60.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3499, pruned_loss=0.101, over 2776680.63 frames. utt_duration=233.6 frames, utt_pad_proportion=0.07279, over 47851.38 utterances.], batch size: 60, lr: 1.57e-04
+2022-09-19 18:14:57,945 INFO [train.py:885] (0/2) Epoch 30, batch 6200, loss[loss=0.2353, simple_loss=0.3296, pruned_loss=0.07049, over 14281.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.04235, over 154.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3467, pruned_loss=0.09861, over 2777371.66 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07277, over 47040.40 utterances.], batch size: 154, lr: 1.57e-04
+2022-09-19 18:15:27,686 INFO [train.py:885] (0/2) Epoch 30, batch 6250, loss[loss=0.1672, simple_loss=0.2398, pruned_loss=0.04728, over 13507.00 frames. utt_duration=1288 frames, utt_pad_proportion=0.09326, over 42.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3468, pruned_loss=0.09822, over 2775192.49 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07366, over 47365.04 utterances.], batch size: 42, lr: 1.56e-04
+2022-09-19 18:15:57,515 INFO [train.py:885] (0/2) Epoch 30, batch 6300, loss[loss=0.1717, simple_loss=0.2538, pruned_loss=0.04484, over 13416.00 frames. utt_duration=1075 frames, utt_pad_proportion=0.09699, over 50.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3439, pruned_loss=0.09731, over 2776664.80 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07216, over 45201.94 utterances.], batch size: 50, lr: 1.56e-04
+2022-09-19 18:16:27,134 INFO [train.py:885] (0/2) Epoch 30, batch 6350, loss[loss=0.2874, simple_loss=0.3776, pruned_loss=0.09853, over 13986.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05708, over 365.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3441, pruned_loss=0.09783, over 2781366.73 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07079, over 44796.81 utterances.], batch size: 365, lr: 1.56e-04
+2022-09-19 18:16:57,282 INFO [train.py:885] (0/2) Epoch 30, batch 6400, loss[loss=0.1542, simple_loss=0.2165, pruned_loss=0.04599, over 13366.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.08659, over 41.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.3421, pruned_loss=0.09676, over 2781152.67 frames. utt_duration=251.5 frames, utt_pad_proportion=0.07179, over 44494.06 utterances.], batch size: 41, lr: 1.56e-04
+2022-09-19 18:17:27,082 INFO [train.py:885] (0/2) Epoch 30, batch 6450, loss[loss=0.2379, simple_loss=0.298, pruned_loss=0.08892, over 13563.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.08766, over 50.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3436, pruned_loss=0.09724, over 2779204.99 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07272, over 46069.11 utterances.], batch size: 50, lr: 1.56e-04
+2022-09-19 18:17:57,236 INFO [train.py:885] (0/2) Epoch 30, batch 6500, loss[loss=0.4807, simple_loss=0.5762, pruned_loss=0.1926, over 12552.00 frames. utt_duration=63.49 frames, utt_pad_proportion=0.1421, over 811.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3455, pruned_loss=0.09835, over 2778841.29 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07395, over 46851.72 utterances.], batch size: 811, lr: 1.56e-04
+2022-09-19 18:18:27,002 INFO [train.py:885] (0/2) Epoch 30, batch 6550, loss[loss=0.2081, simple_loss=0.2747, pruned_loss=0.07076, over 14115.00 frames. utt_duration=577.6 frames, utt_pad_proportion=0.05316, over 98.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3465, pruned_loss=0.09879, over 2781583.90 frames. utt_duration=237 frames, utt_pad_proportion=0.07305, over 47243.45 utterances.], batch size: 98, lr: 1.56e-04
+2022-09-19 18:18:57,093 INFO [train.py:885] (0/2) Epoch 30, batch 6600, loss[loss=0.2711, simple_loss=0.3439, pruned_loss=0.0991, over 14284.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03956, over 180.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3476, pruned_loss=0.09959, over 2782422.87 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07191, over 47393.05 utterances.], batch size: 180, lr: 1.56e-04
+2022-09-19 18:19:26,929 INFO [train.py:885] (0/2) Epoch 30, batch 6650, loss[loss=0.3376, simple_loss=0.4338, pruned_loss=0.1207, over 13609.00 frames. utt_duration=98.54 frames, utt_pad_proportion=0.07911, over 560.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3467, pruned_loss=0.09891, over 2785537.39 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07088, over 46761.69 utterances.], batch size: 560, lr: 1.56e-04
+2022-09-19 18:19:57,566 INFO [train.py:885] (0/2) Epoch 30, batch 6700, loss[loss=0.2482, simple_loss=0.3342, pruned_loss=0.08107, over 14317.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03789, over 210.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3475, pruned_loss=0.09933, over 2785354.03 frames. utt_duration=238.4 frames, utt_pad_proportion=0.06948, over 47025.59 utterances.], batch size: 210, lr: 1.56e-04
+2022-09-19 18:20:26,748 INFO [train.py:885] (0/2) Epoch 30, batch 6750, loss[loss=0.1777, simple_loss=0.253, pruned_loss=0.0512, over 13789.00 frames. utt_duration=800.9 frames, utt_pad_proportion=0.06659, over 69.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.346, pruned_loss=0.09859, over 2787126.92 frames. utt_duration=244.4 frames, utt_pad_proportion=0.06966, over 45889.41 utterances.], batch size: 69, lr: 1.56e-04
+2022-09-19 18:20:57,037 INFO [train.py:885] (0/2) Epoch 30, batch 6800, loss[loss=0.2922, simple_loss=0.3879, pruned_loss=0.09825, over 13795.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06998, over 411.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3462, pruned_loss=0.09849, over 2786773.09 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07109, over 45831.86 utterances.], batch size: 411, lr: 1.56e-04
+2022-09-19 18:21:26,562 INFO [train.py:885] (0/2) Epoch 30, batch 6850, loss[loss=0.2935, simple_loss=0.3939, pruned_loss=0.09653, over 13637.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08068, over 477.00 utterances.], tot_loss[loss=0.2649, simple_loss=0.3391, pruned_loss=0.09529, over 2785600.05 frames. utt_duration=259.6 frames, utt_pad_proportion=0.0684, over 43161.55 utterances.], batch size: 477, lr: 1.56e-04
+2022-09-19 18:21:55,867 INFO [train.py:885] (0/2) Epoch 30, batch 6900, loss[loss=0.297, simple_loss=0.3615, pruned_loss=0.1162, over 14359.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.03796, over 167.00 utterances.], tot_loss[loss=0.2625, simple_loss=0.3367, pruned_loss=0.09418, over 2788535.64 frames. utt_duration=268.2 frames, utt_pad_proportion=0.06705, over 41822.75 utterances.], batch size: 167, lr: 1.56e-04
+2022-09-19 18:22:25,798 INFO [train.py:885] (0/2) Epoch 30, batch 6950, loss[loss=0.1629, simple_loss=0.2246, pruned_loss=0.05056, over 13172.00 frames. utt_duration=1598 frames, utt_pad_proportion=0.1132, over 33.00 utterances.], tot_loss[loss=0.2618, simple_loss=0.3356, pruned_loss=0.09405, over 2786445.97 frames. utt_duration=271.3 frames, utt_pad_proportion=0.06698, over 41303.46 utterances.], batch size: 33, lr: 1.56e-04
+2022-09-19 18:22:55,029 INFO [train.py:885] (0/2) Epoch 30, batch 7000, loss[loss=0.2534, simple_loss=0.3349, pruned_loss=0.08597, over 14384.00 frames. utt_duration=345.7 frames, utt_pad_proportion=0.03691, over 167.00 utterances.], tot_loss[loss=0.2617, simple_loss=0.335, pruned_loss=0.09424, over 2789452.41 frames. utt_duration=277.6 frames, utt_pad_proportion=0.06506, over 40411.94 utterances.], batch size: 167, lr: 1.56e-04
+2022-09-19 18:23:24,922 INFO [train.py:885] (0/2) Epoch 30, batch 7050, loss[loss=0.215, simple_loss=0.2871, pruned_loss=0.0715, over 14085.00 frames. utt_duration=576.3 frames, utt_pad_proportion=0.05377, over 98.00 utterances.], tot_loss[loss=0.2634, simple_loss=0.3371, pruned_loss=0.09482, over 2779225.81 frames. utt_duration=265.2 frames, utt_pad_proportion=0.06896, over 42157.79 utterances.], batch size: 98, lr: 1.56e-04
+2022-09-19 18:23:54,384 INFO [train.py:885] (0/2) Epoch 30, batch 7100, loss[loss=0.1451, simple_loss=0.2082, pruned_loss=0.04099, over 13179.00 frames. utt_duration=1287 frames, utt_pad_proportion=0.1, over 41.00 utterances.], tot_loss[loss=0.2618, simple_loss=0.3363, pruned_loss=0.0937, over 2780702.83 frames. utt_duration=262.2 frames, utt_pad_proportion=0.06972, over 42659.69 utterances.], batch size: 41, lr: 1.56e-04
+2022-09-19 18:24:23,268 INFO [train.py:885] (0/2) Epoch 30, batch 7150, loss[loss=0.1647, simple_loss=0.2166, pruned_loss=0.05639, over 13021.00 frames. utt_duration=1580 frames, utt_pad_proportion=0.1164, over 33.00 utterances.], tot_loss[loss=0.2612, simple_loss=0.3359, pruned_loss=0.09324, over 2781660.61 frames. utt_duration=258.9 frames, utt_pad_proportion=0.07008, over 43218.45 utterances.], batch size: 33, lr: 1.56e-04
+2022-09-19 18:24:53,384 INFO [train.py:885] (0/2) Epoch 30, batch 7200, loss[loss=0.2817, simple_loss=0.359, pruned_loss=0.1022, over 14229.00 frames. utt_duration=254.5 frames, utt_pad_proportion=0.04326, over 225.00 utterances.], tot_loss[loss=0.2651, simple_loss=0.3398, pruned_loss=0.09519, over 2778305.47 frames. utt_duration=249.2 frames, utt_pad_proportion=0.0728, over 44859.84 utterances.], batch size: 225, lr: 1.56e-04
+2022-09-19 18:25:23,037 INFO [train.py:885] (0/2) Epoch 30, batch 7250, loss[loss=0.2692, simple_loss=0.333, pruned_loss=0.1027, over 14141.00 frames. utt_duration=520.5 frames, utt_pad_proportion=0.04676, over 109.00 utterances.], tot_loss[loss=0.2652, simple_loss=0.3402, pruned_loss=0.09506, over 2773700.74 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07348, over 45461.61 utterances.], batch size: 109, lr: 1.56e-04
+2022-09-19 18:25:52,194 INFO [train.py:885] (0/2) Epoch 30, batch 7300, loss[loss=0.3423, simple_loss=0.4234, pruned_loss=0.1306, over 13759.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07278, over 411.00 utterances.], tot_loss[loss=0.2648, simple_loss=0.3396, pruned_loss=0.09501, over 2777034.07 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07104, over 44485.77 utterances.], batch size: 411, lr: 1.56e-04
+2022-09-19 18:26:22,267 INFO [train.py:885] (0/2) Epoch 30, batch 7350, loss[loss=0.1359, simple_loss=0.1956, pruned_loss=0.03807, over 13019.00 frames. utt_duration=1580 frames, utt_pad_proportion=0.1204, over 33.00 utterances.], tot_loss[loss=0.2652, simple_loss=0.3399, pruned_loss=0.0952, over 2772361.33 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07286, over 45130.04 utterances.], batch size: 33, lr: 1.56e-04
+2022-09-19 18:26:52,082 INFO [train.py:885] (0/2) Epoch 30, batch 7400, loss[loss=0.2783, simple_loss=0.3729, pruned_loss=0.09191, over 13773.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07139, over 411.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.3411, pruned_loss=0.09522, over 2773129.61 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07285, over 45791.30 utterances.], batch size: 411, lr: 1.56e-04
+2022-09-19 18:27:21,470 INFO [train.py:885] (0/2) Epoch 30, batch 7450, loss[loss=0.2924, simple_loss=0.3667, pruned_loss=0.1091, over 14324.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.0384, over 262.00 utterances.], tot_loss[loss=0.266, simple_loss=0.3409, pruned_loss=0.09553, over 2770489.95 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07351, over 45757.76 utterances.], batch size: 262, lr: 1.56e-04
+2022-09-19 18:27:51,127 INFO [train.py:885] (0/2) Epoch 30, batch 7500, loss[loss=0.2933, simple_loss=0.3706, pruned_loss=0.108, over 14327.00 frames. utt_duration=319.7 frames, utt_pad_proportion=0.03696, over 180.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3422, pruned_loss=0.09641, over 2767231.92 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07398, over 45964.45 utterances.], batch size: 180, lr: 1.56e-04
+2022-09-19 18:28:20,470 INFO [train.py:885] (0/2) Epoch 30, batch 7550, loss[loss=0.2962, simple_loss=0.3659, pruned_loss=0.1132, over 14321.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03932, over 262.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3431, pruned_loss=0.09652, over 2770869.37 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07444, over 45998.94 utterances.], batch size: 262, lr: 1.56e-04
+2022-09-19 18:28:50,390 INFO [train.py:885] (0/2) Epoch 30, batch 7600, loss[loss=0.5468, simple_loss=0.6194, pruned_loss=0.2371, over 12515.00 frames. utt_duration=63.4 frames, utt_pad_proportion=0.1432, over 810.00 utterances.], tot_loss[loss=0.266, simple_loss=0.3408, pruned_loss=0.09564, over 2772221.79 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07362, over 44857.05 utterances.], batch size: 810, lr: 1.56e-04
+2022-09-19 18:29:19,537 INFO [train.py:885] (0/2) Epoch 30, batch 7650, loss[loss=0.1824, simple_loss=0.2642, pruned_loss=0.05028, over 13789.00 frames. utt_duration=920.5 frames, utt_pad_proportion=0.07579, over 60.00 utterances.], tot_loss[loss=0.2654, simple_loss=0.3398, pruned_loss=0.0955, over 2772011.33 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07285, over 44827.99 utterances.], batch size: 60, lr: 1.56e-04
+2022-09-19 18:29:49,172 INFO [train.py:885] (0/2) Epoch 30, batch 7700, loss[loss=0.2936, simple_loss=0.3591, pruned_loss=0.1141, over 14277.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04026, over 180.00 utterances.], tot_loss[loss=0.2661, simple_loss=0.3405, pruned_loss=0.09584, over 2777310.90 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07029, over 45075.11 utterances.], batch size: 180, lr: 1.56e-04
+2022-09-19 18:30:18,776 INFO [train.py:885] (0/2) Epoch 30, batch 7750, loss[loss=0.3532, simple_loss=0.444, pruned_loss=0.1312, over 13647.00 frames. utt_duration=98.9 frames, utt_pad_proportion=0.0757, over 560.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3429, pruned_loss=0.09678, over 2774762.55 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07287, over 46228.40 utterances.], batch size: 560, lr: 1.56e-04
+2022-09-19 18:30:48,561 INFO [train.py:885] (0/2) Epoch 30, batch 7800, loss[loss=0.2827, simple_loss=0.3613, pruned_loss=0.1021, over 14336.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03708, over 195.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.341, pruned_loss=0.09626, over 2777404.27 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07353, over 45012.62 utterances.], batch size: 195, lr: 1.56e-04
+2022-09-19 18:31:18,197 INFO [train.py:885] (0/2) Epoch 30, batch 7850, loss[loss=0.2493, simple_loss=0.3211, pruned_loss=0.08871, over 14332.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.03792, over 120.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3443, pruned_loss=0.09699, over 2778184.11 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07297, over 46919.25 utterances.], batch size: 120, lr: 1.56e-04
+2022-09-19 18:31:47,467 INFO [train.py:885] (0/2) Epoch 30, batch 7900, loss[loss=0.2738, simple_loss=0.3601, pruned_loss=0.09376, over 14316.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03925, over 262.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3454, pruned_loss=0.09841, over 2781575.94 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07282, over 46740.22 utterances.], batch size: 262, lr: 1.56e-04
+2022-09-19 18:32:16,703 INFO [train.py:885] (0/2) Epoch 30, batch 7950, loss[loss=0.2133, simple_loss=0.2896, pruned_loss=0.06848, over 14289.00 frames. utt_duration=643.5 frames, utt_pad_proportion=0.04099, over 89.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3431, pruned_loss=0.09791, over 2779808.01 frames. utt_duration=247 frames, utt_pad_proportion=0.07347, over 45290.49 utterances.], batch size: 89, lr: 1.56e-04
+2022-09-19 18:32:46,104 INFO [train.py:885] (0/2) Epoch 30, batch 8000, loss[loss=0.1822, simple_loss=0.257, pruned_loss=0.05368, over 13361.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.08793, over 41.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3428, pruned_loss=0.09738, over 2784250.52 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07053, over 45376.31 utterances.], batch size: 41, lr: 1.56e-04
+2022-09-19 18:33:16,192 INFO [train.py:885] (0/2) Epoch 30, batch 8050, loss[loss=0.2653, simple_loss=0.3487, pruned_loss=0.09096, over 14366.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03492, over 210.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3441, pruned_loss=0.09754, over 2781524.21 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07289, over 46160.22 utterances.], batch size: 210, lr: 1.56e-04
+2022-09-19 18:33:46,169 INFO [train.py:885] (0/2) Epoch 30, batch 8100, loss[loss=0.2053, simple_loss=0.2696, pruned_loss=0.07047, over 13979.00 frames. utt_duration=709.3 frames, utt_pad_proportion=0.06052, over 79.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3454, pruned_loss=0.09817, over 2782704.78 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07275, over 46604.56 utterances.], batch size: 79, lr: 1.56e-04
+2022-09-19 18:34:15,417 INFO [train.py:885] (0/2) Epoch 30, batch 8150, loss[loss=0.1691, simple_loss=0.2437, pruned_loss=0.04725, over 13857.00 frames. utt_duration=925.2 frames, utt_pad_proportion=0.06737, over 60.00 utterances.], tot_loss[loss=0.2673, simple_loss=0.3419, pruned_loss=0.09629, over 2781704.62 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07244, over 45442.45 utterances.], batch size: 60, lr: 1.56e-04
+2022-09-19 18:34:45,126 INFO [train.py:885] (0/2) Epoch 30, batch 8200, loss[loss=0.2623, simple_loss=0.3548, pruned_loss=0.08492, over 14357.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03576, over 210.00 utterances.], tot_loss[loss=0.2645, simple_loss=0.3392, pruned_loss=0.09492, over 2780483.77 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07168, over 44686.69 utterances.], batch size: 210, lr: 1.56e-04
+2022-09-19 18:35:15,261 INFO [train.py:885] (0/2) Epoch 30, batch 8250, loss[loss=0.2909, simple_loss=0.3638, pruned_loss=0.109, over 14298.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.03999, over 283.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.3403, pruned_loss=0.09566, over 2774432.25 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07351, over 45303.52 utterances.], batch size: 283, lr: 1.56e-04
+2022-09-19 18:35:44,315 INFO [train.py:885] (0/2) Epoch 30, batch 8300, loss[loss=0.1903, simple_loss=0.262, pruned_loss=0.05933, over 14005.00 frames. utt_duration=710.7 frames, utt_pad_proportion=0.05873, over 79.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3441, pruned_loss=0.09694, over 2779509.38 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07363, over 46846.87 utterances.], batch size: 79, lr: 1.56e-04
+2022-09-19 18:36:13,560 INFO [train.py:885] (0/2) Epoch 30, batch 8350, loss[loss=0.3881, simple_loss=0.4377, pruned_loss=0.1692, over 14256.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04199, over 335.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3456, pruned_loss=0.09834, over 2779231.00 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07371, over 46699.79 utterances.], batch size: 335, lr: 1.56e-04
+2022-09-19 18:36:43,718 INFO [train.py:885] (0/2) Epoch 30, batch 8400, loss[loss=0.2909, simple_loss=0.3663, pruned_loss=0.1077, over 14357.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03347, over 244.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3459, pruned_loss=0.09894, over 2777442.16 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07334, over 46797.42 utterances.], batch size: 244, lr: 1.56e-04
+2022-09-19 18:37:13,330 INFO [train.py:885] (0/2) Epoch 30, batch 8450, loss[loss=0.2759, simple_loss=0.3491, pruned_loss=0.1013, over 14278.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04031, over 180.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3448, pruned_loss=0.09793, over 2778880.87 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07105, over 46199.13 utterances.], batch size: 180, lr: 1.56e-04
+2022-09-19 18:37:42,695 INFO [train.py:885] (0/2) Epoch 30, batch 8500, loss[loss=0.448, simple_loss=0.5121, pruned_loss=0.192, over 13773.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07156, over 411.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3436, pruned_loss=0.09803, over 2781404.75 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07059, over 45397.81 utterances.], batch size: 411, lr: 1.56e-04
+2022-09-19 18:38:12,860 INFO [train.py:885] (0/2) Epoch 30, batch 8550, loss[loss=0.2776, simple_loss=0.3608, pruned_loss=0.09718, over 14366.00 frames. utt_duration=296.1 frames, utt_pad_proportion=0.03548, over 195.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.348, pruned_loss=0.1002, over 2776900.76 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07335, over 47296.31 utterances.], batch size: 195, lr: 1.56e-04
+2022-09-19 18:38:49,691 INFO [train.py:885] (0/2) Epoch 30, batch 8600, loss[loss=0.187, simple_loss=0.2598, pruned_loss=0.05712, over 13556.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08825, over 50.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3465, pruned_loss=0.09855, over 2781422.43 frames. utt_duration=240.9 frames, utt_pad_proportion=0.0727, over 46462.04 utterances.], batch size: 50, lr: 1.56e-04
+2022-09-19 18:39:18,928 INFO [train.py:885] (0/2) Epoch 30, batch 8650, loss[loss=0.2827, simple_loss=0.3592, pruned_loss=0.1031, over 14363.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03305, over 244.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3429, pruned_loss=0.09681, over 2784555.86 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07021, over 44881.35 utterances.], batch size: 244, lr: 1.56e-04
+2022-09-19 18:39:48,664 INFO [train.py:885] (0/2) Epoch 30, batch 8700, loss[loss=0.2579, simple_loss=0.3264, pruned_loss=0.09472, over 14231.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04678, over 141.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3472, pruned_loss=0.09878, over 2781706.50 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07193, over 46303.65 utterances.], batch size: 141, lr: 1.56e-04
+2022-09-19 18:40:18,685 INFO [train.py:885] (0/2) Epoch 30, batch 8750, loss[loss=0.241, simple_loss=0.3171, pruned_loss=0.08248, over 14204.00 frames. utt_duration=404.5 frames, utt_pad_proportion=0.04831, over 141.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.349, pruned_loss=0.09977, over 2776142.91 frames. utt_duration=233.8 frames, utt_pad_proportion=0.07513, over 47794.42 utterances.], batch size: 141, lr: 1.56e-04
+2022-09-19 18:40:47,432 INFO [train.py:885] (0/2) Epoch 30, batch 8800, loss[loss=0.3998, simple_loss=0.4931, pruned_loss=0.1533, over 13153.00 frames. utt_duration=82.11 frames, utt_pad_proportion=0.1075, over 653.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3468, pruned_loss=0.09877, over 2774783.63 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07396, over 47284.31 utterances.], batch size: 653, lr: 1.56e-04
+2022-09-19 18:41:17,735 INFO [train.py:885] (0/2) Epoch 30, batch 8850, loss[loss=0.2938, simple_loss=0.375, pruned_loss=0.1063, over 14315.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03862, over 283.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3465, pruned_loss=0.09879, over 2778176.07 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07261, over 46492.05 utterances.], batch size: 283, lr: 1.56e-04
+2022-09-19 18:41:46,820 INFO [train.py:885] (0/2) Epoch 30, batch 8900, loss[loss=0.1686, simple_loss=0.2275, pruned_loss=0.05487, over 13557.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08188, over 50.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3456, pruned_loss=0.09865, over 2777035.26 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07288, over 46102.10 utterances.], batch size: 50, lr: 1.56e-04
+2022-09-19 18:42:16,406 INFO [train.py:885] (0/2) Epoch 30, batch 8950, loss[loss=0.1395, simple_loss=0.2073, pruned_loss=0.03585, over 13223.00 frames. utt_duration=1604 frames, utt_pad_proportion=0.1132, over 33.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3444, pruned_loss=0.09858, over 2780032.27 frames. utt_duration=245 frames, utt_pad_proportion=0.07097, over 45655.22 utterances.], batch size: 33, lr: 1.56e-04
+2022-09-19 18:42:45,908 INFO [train.py:885] (0/2) Epoch 30, batch 9000, loss[loss=0.1504, simple_loss=0.2143, pruned_loss=0.04325, over 12628.00 frames. utt_duration=2022 frames, utt_pad_proportion=0.1432, over 25.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3458, pruned_loss=0.09875, over 2776544.59 frames. utt_duration=239 frames, utt_pad_proportion=0.07302, over 46763.64 utterances.], batch size: 25, lr: 1.56e-04
+2022-09-19 18:42:45,910 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 18:42:50,123 INFO [train.py:914] (0/2) Epoch 30, validation: loss=0.1863, simple_loss=0.2664, pruned_loss=0.05311, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 18:43:19,450 INFO [train.py:885] (0/2) Epoch 30, batch 9050, loss[loss=0.2258, simple_loss=0.2869, pruned_loss=0.08232, over 13933.00 frames. utt_duration=809.4 frames, utt_pad_proportion=0.05777, over 69.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3461, pruned_loss=0.09932, over 2783916.95 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07069, over 45947.54 utterances.], batch size: 69, lr: 1.56e-04
+2022-09-19 18:43:49,082 INFO [train.py:885] (0/2) Epoch 30, batch 9100, loss[loss=0.2799, simple_loss=0.3904, pruned_loss=0.08464, over 13764.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07234, over 411.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3464, pruned_loss=0.09946, over 2783574.22 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07057, over 45799.90 utterances.], batch size: 411, lr: 1.56e-04
+2022-09-19 18:44:18,952 INFO [train.py:885] (0/2) Epoch 30, batch 9150, loss[loss=0.2206, simple_loss=0.295, pruned_loss=0.07314, over 14116.00 frames. utt_duration=577.5 frames, utt_pad_proportion=0.05321, over 98.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3426, pruned_loss=0.09701, over 2782570.24 frames. utt_duration=250 frames, utt_pad_proportion=0.07092, over 44776.88 utterances.], batch size: 98, lr: 1.56e-04
+2022-09-19 18:44:48,553 INFO [train.py:885] (0/2) Epoch 30, batch 9200, loss[loss=0.3912, simple_loss=0.4358, pruned_loss=0.1733, over 14325.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03804, over 195.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3413, pruned_loss=0.0959, over 2778858.73 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07265, over 44826.31 utterances.], batch size: 195, lr: 1.56e-04
+2022-09-19 18:45:18,183 INFO [train.py:885] (0/2) Epoch 30, batch 9250, loss[loss=0.2705, simple_loss=0.3403, pruned_loss=0.1003, over 14310.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.04056, over 154.00 utterances.], tot_loss[loss=0.2666, simple_loss=0.3406, pruned_loss=0.09632, over 2779931.43 frames. utt_duration=255.1 frames, utt_pad_proportion=0.07128, over 43849.26 utterances.], batch size: 154, lr: 1.56e-04
+2022-09-19 18:45:47,936 INFO [train.py:885] (0/2) Epoch 30, batch 9300, loss[loss=0.1702, simple_loss=0.2383, pruned_loss=0.05111, over 13757.00 frames. utt_duration=798.7 frames, utt_pad_proportion=0.0702, over 69.00 utterances.], tot_loss[loss=0.2647, simple_loss=0.3392, pruned_loss=0.0951, over 2778842.56 frames. utt_duration=255.6 frames, utt_pad_proportion=0.07095, over 43741.37 utterances.], batch size: 69, lr: 1.56e-04
+2022-09-19 18:46:17,058 INFO [train.py:885] (0/2) Epoch 30, batch 9350, loss[loss=0.3889, simple_loss=0.4843, pruned_loss=0.1468, over 13110.00 frames. utt_duration=81.88 frames, utt_pad_proportion=0.11, over 653.00 utterances.], tot_loss[loss=0.2655, simple_loss=0.3401, pruned_loss=0.09545, over 2778377.32 frames. utt_duration=253.3 frames, utt_pad_proportion=0.0706, over 44132.67 utterances.], batch size: 653, lr: 1.56e-04
+2022-09-19 18:46:46,715 INFO [train.py:885] (0/2) Epoch 30, batch 9400, loss[loss=0.1665, simple_loss=0.2446, pruned_loss=0.04414, over 13917.00 frames. utt_duration=808.3 frames, utt_pad_proportion=0.05792, over 69.00 utterances.], tot_loss[loss=0.2654, simple_loss=0.3402, pruned_loss=0.09533, over 2779051.20 frames. utt_duration=252.3 frames, utt_pad_proportion=0.07007, over 44320.89 utterances.], batch size: 69, lr: 1.56e-04
+2022-09-19 18:47:16,289 INFO [train.py:885] (0/2) Epoch 30, batch 9450, loss[loss=0.3059, simple_loss=0.4113, pruned_loss=0.1002, over 13678.00 frames. utt_duration=99.09 frames, utt_pad_proportion=0.07388, over 560.00 utterances.], tot_loss[loss=0.2662, simple_loss=0.3418, pruned_loss=0.09534, over 2781751.59 frames. utt_duration=246.8 frames, utt_pad_proportion=0.06941, over 45355.60 utterances.], batch size: 560, lr: 1.56e-04
+2022-09-19 18:47:46,100 INFO [train.py:885] (0/2) Epoch 30, batch 9500, loss[loss=0.1606, simple_loss=0.2238, pruned_loss=0.04872, over 13824.00 frames. utt_duration=923 frames, utt_pad_proportion=0.06956, over 60.00 utterances.], tot_loss[loss=0.263, simple_loss=0.3377, pruned_loss=0.09409, over 2783112.72 frames. utt_duration=258.2 frames, utt_pad_proportion=0.06691, over 43359.01 utterances.], batch size: 60, lr: 1.56e-04
+2022-09-19 18:48:15,487 INFO [train.py:885] (0/2) Epoch 30, batch 9550, loss[loss=0.1471, simple_loss=0.2132, pruned_loss=0.04044, over 13330.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.0907, over 41.00 utterances.], tot_loss[loss=0.2648, simple_loss=0.3395, pruned_loss=0.09502, over 2785093.89 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06763, over 43965.69 utterances.], batch size: 41, lr: 1.56e-04
+2022-09-19 18:48:45,319 INFO [train.py:885] (0/2) Epoch 30, batch 9600, loss[loss=0.2771, simple_loss=0.3857, pruned_loss=0.08423, over 13652.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08117, over 478.00 utterances.], tot_loss[loss=0.2661, simple_loss=0.3408, pruned_loss=0.09576, over 2786088.19 frames. utt_duration=252.1 frames, utt_pad_proportion=0.06879, over 44457.12 utterances.], batch size: 478, lr: 1.56e-04
+2022-09-19 18:49:15,218 INFO [train.py:885] (0/2) Epoch 30, batch 9650, loss[loss=0.2678, simple_loss=0.3499, pruned_loss=0.09286, over 14287.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.0421, over 154.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3457, pruned_loss=0.09862, over 2786075.18 frames. utt_duration=244.4 frames, utt_pad_proportion=0.06937, over 45876.41 utterances.], batch size: 154, lr: 1.56e-04
+2022-09-19 18:49:44,841 INFO [train.py:885] (0/2) Epoch 30, batch 9700, loss[loss=0.2632, simple_loss=0.3443, pruned_loss=0.09105, over 14346.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03644, over 210.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3481, pruned_loss=0.1004, over 2787946.97 frames. utt_duration=243.9 frames, utt_pad_proportion=0.06799, over 46003.90 utterances.], batch size: 210, lr: 1.56e-04
+2022-09-19 18:50:14,246 INFO [train.py:885] (0/2) Epoch 30, batch 9750, loss[loss=0.1917, simple_loss=0.254, pruned_loss=0.06472, over 13922.00 frames. utt_duration=808.5 frames, utt_pad_proportion=0.05773, over 69.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3437, pruned_loss=0.09847, over 2783826.76 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06735, over 44382.24 utterances.], batch size: 69, lr: 1.56e-04
+2022-09-19 18:50:44,361 INFO [train.py:885] (0/2) Epoch 30, batch 9800, loss[loss=0.2457, simple_loss=0.3194, pruned_loss=0.086, over 14294.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.03838, over 130.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3444, pruned_loss=0.09828, over 2783978.55 frames. utt_duration=250.3 frames, utt_pad_proportion=0.06742, over 44755.27 utterances.], batch size: 130, lr: 1.56e-04
+2022-09-19 18:51:13,158 INFO [train.py:885] (0/2) Epoch 30, batch 9850, loss[loss=0.1382, simple_loss=0.1967, pruned_loss=0.03989, over 12778.00 frames. utt_duration=2046 frames, utt_pad_proportion=0.1272, over 25.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3437, pruned_loss=0.09775, over 2786320.74 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06722, over 44261.02 utterances.], batch size: 25, lr: 1.56e-04
+2022-09-19 18:51:42,595 INFO [train.py:885] (0/2) Epoch 30, batch 9900, loss[loss=0.1487, simple_loss=0.1937, pruned_loss=0.05188, over 13535.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08022, over 50.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3414, pruned_loss=0.09678, over 2788773.26 frames. utt_duration=257.7 frames, utt_pad_proportion=0.06566, over 43528.12 utterances.], batch size: 50, lr: 1.56e-04
+2022-09-19 18:52:13,205 INFO [train.py:885] (0/2) Epoch 30, batch 9950, loss[loss=0.3562, simple_loss=0.4233, pruned_loss=0.1445, over 14027.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05416, over 365.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3456, pruned_loss=0.09878, over 2782982.75 frames. utt_duration=245.6 frames, utt_pad_proportion=0.0694, over 45598.27 utterances.], batch size: 365, lr: 1.56e-04
+2022-09-19 18:52:42,893 INFO [train.py:885] (0/2) Epoch 30, batch 10000, loss[loss=0.1955, simple_loss=0.2785, pruned_loss=0.05632, over 13874.00 frames. utt_duration=805.8 frames, utt_pad_proportion=0.0619, over 69.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3445, pruned_loss=0.0982, over 2778650.91 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06978, over 45049.60 utterances.], batch size: 69, lr: 1.56e-04
+2022-09-19 18:52:55,416 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-376000.pt
+2022-09-19 18:53:12,706 INFO [train.py:885] (0/2) Epoch 30, batch 10050, loss[loss=0.2317, simple_loss=0.2946, pruned_loss=0.08443, over 13378.00 frames. utt_duration=1306 frames, utt_pad_proportion=0.08582, over 41.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3425, pruned_loss=0.09716, over 2780287.64 frames. utt_duration=256.7 frames, utt_pad_proportion=0.06921, over 43581.73 utterances.], batch size: 41, lr: 1.56e-04
+2022-09-19 18:53:42,505 INFO [train.py:885] (0/2) Epoch 30, batch 10100, loss[loss=0.2077, simple_loss=0.2872, pruned_loss=0.06416, over 14187.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04429, over 109.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.3418, pruned_loss=0.09633, over 2778179.53 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07056, over 44328.50 utterances.], batch size: 109, lr: 1.56e-04
+2022-09-19 18:54:12,606 INFO [train.py:885] (0/2) Epoch 30, batch 10150, loss[loss=0.26, simple_loss=0.3457, pruned_loss=0.08719, over 14337.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03705, over 195.00 utterances.], tot_loss[loss=0.2662, simple_loss=0.3409, pruned_loss=0.09577, over 2777972.36 frames. utt_duration=251.8 frames, utt_pad_proportion=0.06971, over 44382.58 utterances.], batch size: 195, lr: 1.56e-04
+2022-09-19 18:54:41,827 INFO [train.py:885] (0/2) Epoch 30, batch 10200, loss[loss=0.1602, simple_loss=0.2421, pruned_loss=0.03916, over 13480.00 frames. utt_duration=1317 frames, utt_pad_proportion=0.07984, over 41.00 utterances.], tot_loss[loss=0.2649, simple_loss=0.339, pruned_loss=0.09536, over 2778350.70 frames. utt_duration=258.8 frames, utt_pad_proportion=0.06826, over 43193.39 utterances.], batch size: 41, lr: 1.56e-04
+2022-09-19 18:55:11,562 INFO [train.py:885] (0/2) Epoch 30, batch 10250, loss[loss=0.2924, simple_loss=0.3615, pruned_loss=0.1116, over 14260.00 frames. utt_duration=371.9 frames, utt_pad_proportion=0.04385, over 154.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3426, pruned_loss=0.09743, over 2778840.65 frames. utt_duration=253 frames, utt_pad_proportion=0.06973, over 44193.39 utterances.], batch size: 154, lr: 1.56e-04
+2022-09-19 18:55:40,830 INFO [train.py:885] (0/2) Epoch 30, batch 10300, loss[loss=0.1706, simple_loss=0.2469, pruned_loss=0.04712, over 13842.00 frames. utt_duration=803.9 frames, utt_pad_proportion=0.062, over 69.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3473, pruned_loss=0.09991, over 2779848.44 frames. utt_duration=244.8 frames, utt_pad_proportion=0.06973, over 45705.82 utterances.], batch size: 69, lr: 1.56e-04
+2022-09-19 18:56:10,529 INFO [train.py:885] (0/2) Epoch 30, batch 10350, loss[loss=0.1588, simple_loss=0.2246, pruned_loss=0.04649, over 13917.00 frames. utt_duration=929.1 frames, utt_pad_proportion=0.06621, over 60.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3475, pruned_loss=0.1001, over 2780526.21 frames. utt_duration=244.1 frames, utt_pad_proportion=0.06993, over 45846.36 utterances.], batch size: 60, lr: 1.56e-04
+2022-09-19 18:56:39,904 INFO [train.py:885] (0/2) Epoch 30, batch 10400, loss[loss=0.2088, simple_loss=0.2642, pruned_loss=0.0767, over 13476.00 frames. utt_duration=1635 frames, utt_pad_proportion=0.08866, over 33.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3477, pruned_loss=0.09992, over 2777681.06 frames. utt_duration=239.3 frames, utt_pad_proportion=0.0721, over 46716.30 utterances.], batch size: 33, lr: 1.56e-04
+2022-09-19 18:57:09,900 INFO [train.py:885] (0/2) Epoch 30, batch 10450, loss[loss=0.2684, simple_loss=0.3494, pruned_loss=0.09372, over 14383.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.03542, over 244.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3461, pruned_loss=0.0991, over 2776411.15 frames. utt_duration=243.8 frames, utt_pad_proportion=0.072, over 45836.80 utterances.], batch size: 244, lr: 1.56e-04
+2022-09-19 18:57:38,869 INFO [train.py:885] (0/2) Epoch 30, batch 10500, loss[loss=0.3143, simple_loss=0.3825, pruned_loss=0.123, over 14379.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.0319, over 244.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3423, pruned_loss=0.0972, over 2777021.23 frames. utt_duration=252.1 frames, utt_pad_proportion=0.07091, over 44327.46 utterances.], batch size: 244, lr: 1.56e-04
+2022-09-19 18:58:08,194 INFO [train.py:885] (0/2) Epoch 30, batch 10550, loss[loss=0.2516, simple_loss=0.3278, pruned_loss=0.0877, over 14295.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03937, over 180.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.346, pruned_loss=0.0984, over 2779203.21 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07189, over 45913.33 utterances.], batch size: 180, lr: 1.56e-04
+2022-09-19 18:58:38,599 INFO [train.py:885] (0/2) Epoch 30, batch 10600, loss[loss=0.3534, simple_loss=0.4505, pruned_loss=0.1281, over 13655.00 frames. utt_duration=98.93 frames, utt_pad_proportion=0.07538, over 560.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3502, pruned_loss=0.09996, over 2777772.39 frames. utt_duration=231.4 frames, utt_pad_proportion=0.07507, over 48336.19 utterances.], batch size: 560, lr: 1.56e-04
+2022-09-19 18:59:07,202 INFO [train.py:885] (0/2) Epoch 30, batch 10650, loss[loss=0.4445, simple_loss=0.5318, pruned_loss=0.1786, over 13199.00 frames. utt_duration=82.35 frames, utt_pad_proportion=0.1049, over 653.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3491, pruned_loss=0.09948, over 2783217.81 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07252, over 47119.99 utterances.], batch size: 653, lr: 1.56e-04
+2022-09-19 18:59:37,859 INFO [train.py:885] (0/2) Epoch 30, batch 10700, loss[loss=0.2684, simple_loss=0.3646, pruned_loss=0.0861, over 13736.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07398, over 411.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3498, pruned_loss=0.09944, over 2782315.93 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07249, over 47434.76 utterances.], batch size: 411, lr: 1.56e-04
+2022-09-19 19:00:06,980 INFO [train.py:885] (0/2) Epoch 30, batch 10750, loss[loss=0.259, simple_loss=0.3495, pruned_loss=0.08426, over 14279.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03981, over 180.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3491, pruned_loss=0.09862, over 2782371.00 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07152, over 47382.07 utterances.], batch size: 180, lr: 1.56e-04
+2022-09-19 19:00:36,187 INFO [train.py:885] (0/2) Epoch 30, batch 10800, loss[loss=0.181, simple_loss=0.2597, pruned_loss=0.05117, over 13843.00 frames. utt_duration=804.1 frames, utt_pad_proportion=0.06396, over 69.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3486, pruned_loss=0.09887, over 2781796.21 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07099, over 46755.68 utterances.], batch size: 69, lr: 1.56e-04
+2022-09-19 19:01:06,305 INFO [train.py:885] (0/2) Epoch 30, batch 10850, loss[loss=0.33, simple_loss=0.4207, pruned_loss=0.1197, over 13679.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07845, over 477.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3458, pruned_loss=0.09722, over 2782773.80 frames. utt_duration=243 frames, utt_pad_proportion=0.07031, over 46088.14 utterances.], batch size: 477, lr: 1.56e-04
+2022-09-19 19:01:35,999 INFO [train.py:885] (0/2) Epoch 30, batch 10900, loss[loss=0.2597, simple_loss=0.3371, pruned_loss=0.09121, over 14292.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03906, over 180.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3482, pruned_loss=0.09762, over 2777271.98 frames. utt_duration=230.1 frames, utt_pad_proportion=0.07412, over 48591.06 utterances.], batch size: 180, lr: 1.56e-04
+2022-09-19 19:02:05,536 INFO [train.py:885] (0/2) Epoch 30, batch 10950, loss[loss=0.1827, simple_loss=0.2449, pruned_loss=0.06022, over 13581.00 frames. utt_duration=1067 frames, utt_pad_proportion=0.08886, over 51.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3438, pruned_loss=0.09614, over 2777588.64 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07335, over 46480.13 utterances.], batch size: 51, lr: 1.56e-04
+2022-09-19 19:02:34,727 INFO [train.py:885] (0/2) Epoch 30, batch 11000, loss[loss=0.2886, simple_loss=0.3504, pruned_loss=0.1134, over 14327.00 frames. utt_duration=442.2 frames, utt_pad_proportion=0.03655, over 130.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3439, pruned_loss=0.0967, over 2777645.96 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07242, over 45676.91 utterances.], batch size: 130, lr: 1.56e-04
+2022-09-19 19:03:04,730 INFO [train.py:885] (0/2) Epoch 30, batch 11050, loss[loss=0.2993, simple_loss=0.3674, pruned_loss=0.1156, over 14365.00 frames. utt_duration=237 frames, utt_pad_proportion=0.0367, over 244.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3432, pruned_loss=0.09613, over 2777738.72 frames. utt_duration=243.5 frames, utt_pad_proportion=0.072, over 45909.30 utterances.], batch size: 244, lr: 1.55e-04
+2022-09-19 19:03:34,389 INFO [train.py:885] (0/2) Epoch 30, batch 11100, loss[loss=0.293, simple_loss=0.3812, pruned_loss=0.1025, over 13990.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05647, over 365.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3462, pruned_loss=0.09715, over 2775706.68 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07435, over 47522.74 utterances.], batch size: 365, lr: 1.55e-04
+2022-09-19 19:04:03,349 INFO [train.py:885] (0/2) Epoch 30, batch 11150, loss[loss=0.1685, simple_loss=0.2466, pruned_loss=0.04517, over 13434.00 frames. utt_duration=1076 frames, utt_pad_proportion=0.09023, over 50.00 utterances.], tot_loss[loss=0.2642, simple_loss=0.3394, pruned_loss=0.09454, over 2777190.10 frames. utt_duration=251.5 frames, utt_pad_proportion=0.07168, over 44432.72 utterances.], batch size: 50, lr: 1.55e-04
+2022-09-19 19:04:33,127 INFO [train.py:885] (0/2) Epoch 30, batch 11200, loss[loss=0.2512, simple_loss=0.3347, pruned_loss=0.0838, over 14358.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.03791, over 167.00 utterances.], tot_loss[loss=0.2638, simple_loss=0.3391, pruned_loss=0.09422, over 2778905.94 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06985, over 44327.65 utterances.], batch size: 167, lr: 1.55e-04
+2022-09-19 19:05:03,523 INFO [train.py:885] (0/2) Epoch 30, batch 11250, loss[loss=0.2129, simple_loss=0.3032, pruned_loss=0.06133, over 14360.00 frames. utt_duration=345.5 frames, utt_pad_proportion=0.03773, over 167.00 utterances.], tot_loss[loss=0.2644, simple_loss=0.3396, pruned_loss=0.09463, over 2774994.79 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07135, over 44914.87 utterances.], batch size: 167, lr: 1.55e-04
+2022-09-19 19:05:32,787 INFO [train.py:885] (0/2) Epoch 30, batch 11300, loss[loss=0.1794, simple_loss=0.2561, pruned_loss=0.05136, over 13744.00 frames. utt_duration=917.7 frames, utt_pad_proportion=0.07767, over 60.00 utterances.], tot_loss[loss=0.2645, simple_loss=0.3396, pruned_loss=0.09474, over 2773709.34 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07308, over 45283.78 utterances.], batch size: 60, lr: 1.55e-04
+2022-09-19 19:06:02,466 INFO [train.py:885] (0/2) Epoch 30, batch 11350, loss[loss=0.1882, simple_loss=0.2646, pruned_loss=0.05596, over 14069.00 frames. utt_duration=705 frames, utt_pad_proportion=0.05871, over 80.00 utterances.], tot_loss[loss=0.2652, simple_loss=0.3406, pruned_loss=0.0949, over 2780163.42 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07118, over 45137.80 utterances.], batch size: 80, lr: 1.55e-04
+2022-09-19 19:06:31,670 INFO [train.py:885] (0/2) Epoch 30, batch 11400, loss[loss=0.3434, simple_loss=0.3984, pruned_loss=0.1442, over 14231.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04323, over 306.00 utterances.], tot_loss[loss=0.2611, simple_loss=0.3364, pruned_loss=0.09293, over 2781087.85 frames. utt_duration=259.7 frames, utt_pad_proportion=0.06781, over 43084.44 utterances.], batch size: 306, lr: 1.55e-04
+2022-09-19 19:07:01,614 INFO [train.py:885] (0/2) Epoch 30, batch 11450, loss[loss=0.2753, simple_loss=0.3573, pruned_loss=0.09669, over 14341.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03698, over 210.00 utterances.], tot_loss[loss=0.2647, simple_loss=0.3402, pruned_loss=0.09455, over 2777481.26 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07144, over 44794.20 utterances.], batch size: 210, lr: 1.55e-04
+2022-09-19 19:07:31,061 INFO [train.py:885] (0/2) Epoch 30, batch 11500, loss[loss=0.2554, simple_loss=0.3297, pruned_loss=0.09051, over 14254.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04514, over 141.00 utterances.], tot_loss[loss=0.2633, simple_loss=0.3385, pruned_loss=0.09399, over 2777718.11 frames. utt_duration=255.6 frames, utt_pad_proportion=0.07044, over 43721.91 utterances.], batch size: 141, lr: 1.55e-04
+2022-09-19 19:08:00,209 INFO [train.py:885] (0/2) Epoch 30, batch 11550, loss[loss=0.3318, simple_loss=0.44, pruned_loss=0.1118, over 13126.00 frames. utt_duration=81.86 frames, utt_pad_proportion=0.1102, over 653.00 utterances.], tot_loss[loss=0.2656, simple_loss=0.3415, pruned_loss=0.09484, over 2773048.08 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07366, over 45535.45 utterances.], batch size: 653, lr: 1.55e-04
+2022-09-19 19:08:30,751 INFO [train.py:885] (0/2) Epoch 30, batch 11600, loss[loss=0.4469, simple_loss=0.5527, pruned_loss=0.1705, over 12481.00 frames. utt_duration=63.25 frames, utt_pad_proportion=0.1453, over 810.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3438, pruned_loss=0.09658, over 2774456.43 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07238, over 45889.59 utterances.], batch size: 810, lr: 1.55e-04
+2022-09-19 19:09:00,242 INFO [train.py:885] (0/2) Epoch 30, batch 11650, loss[loss=0.3272, simple_loss=0.4239, pruned_loss=0.1152, over 13600.00 frames. utt_duration=98.52 frames, utt_pad_proportion=0.07924, over 560.00 utterances.], tot_loss[loss=0.2656, simple_loss=0.3411, pruned_loss=0.09506, over 2774883.97 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07238, over 45268.89 utterances.], batch size: 560, lr: 1.55e-04
+2022-09-19 19:09:29,324 INFO [train.py:885] (0/2) Epoch 30, batch 11700, loss[loss=0.1931, simple_loss=0.2752, pruned_loss=0.05553, over 13812.00 frames. utt_duration=922.1 frames, utt_pad_proportion=0.07045, over 60.00 utterances.], tot_loss[loss=0.2639, simple_loss=0.3397, pruned_loss=0.09402, over 2780744.06 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07038, over 44316.08 utterances.], batch size: 60, lr: 1.55e-04
+2022-09-19 19:09:58,951 INFO [train.py:885] (0/2) Epoch 30, batch 11750, loss[loss=0.2726, simple_loss=0.3577, pruned_loss=0.09373, over 14332.00 frames. utt_duration=236.4 frames, utt_pad_proportion=0.03496, over 244.00 utterances.], tot_loss[loss=0.264, simple_loss=0.34, pruned_loss=0.09402, over 2785867.41 frames. utt_duration=253.1 frames, utt_pad_proportion=0.06903, over 44278.65 utterances.], batch size: 244, lr: 1.55e-04
+2022-09-19 19:10:29,346 INFO [train.py:885] (0/2) Epoch 30, batch 11800, loss[loss=0.3791, simple_loss=0.4779, pruned_loss=0.1401, over 13109.00 frames. utt_duration=81.85 frames, utt_pad_proportion=0.1104, over 653.00 utterances.], tot_loss[loss=0.2659, simple_loss=0.3423, pruned_loss=0.09472, over 2782207.74 frames. utt_duration=244.7 frames, utt_pad_proportion=0.06948, over 45747.08 utterances.], batch size: 653, lr: 1.55e-04
+2022-09-19 19:10:58,899 INFO [train.py:885] (0/2) Epoch 30, batch 11850, loss[loss=0.3459, simple_loss=0.4023, pruned_loss=0.1448, over 14188.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04542, over 306.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3426, pruned_loss=0.09524, over 2783769.54 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07004, over 45701.28 utterances.], batch size: 306, lr: 1.55e-04
+2022-09-19 19:11:28,787 INFO [train.py:885] (0/2) Epoch 30, batch 11900, loss[loss=0.2468, simple_loss=0.3092, pruned_loss=0.09226, over 14127.00 frames. utt_duration=578.1 frames, utt_pad_proportion=0.05067, over 98.00 utterances.], tot_loss[loss=0.265, simple_loss=0.3401, pruned_loss=0.09491, over 2778337.26 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07126, over 44989.87 utterances.], batch size: 98, lr: 1.55e-04
+2022-09-19 19:11:58,724 INFO [train.py:885] (0/2) Epoch 30, batch 11950, loss[loss=0.2422, simple_loss=0.3115, pruned_loss=0.08648, over 14277.00 frames. utt_duration=477.4 frames, utt_pad_proportion=0.04135, over 120.00 utterances.], tot_loss[loss=0.2636, simple_loss=0.3385, pruned_loss=0.09437, over 2776569.41 frames. utt_duration=251 frames, utt_pad_proportion=0.07259, over 44507.16 utterances.], batch size: 120, lr: 1.55e-04
+2022-09-19 19:12:28,385 INFO [train.py:885] (0/2) Epoch 30, batch 12000, loss[loss=0.2947, simple_loss=0.3689, pruned_loss=0.1103, over 14340.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03402, over 244.00 utterances.], tot_loss[loss=0.2637, simple_loss=0.3388, pruned_loss=0.09427, over 2776934.39 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07291, over 44916.78 utterances.], batch size: 244, lr: 1.55e-04
+2022-09-19 19:12:28,387 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 19:12:32,641 INFO [train.py:914] (0/2) Epoch 30, validation: loss=0.1865, simple_loss=0.2664, pruned_loss=0.0533, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 19:13:03,175 INFO [train.py:885] (0/2) Epoch 30, batch 12050, loss[loss=0.3058, simple_loss=0.3763, pruned_loss=0.1177, over 14298.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03855, over 180.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3453, pruned_loss=0.09768, over 2778554.57 frames. utt_duration=237.5 frames, utt_pad_proportion=0.0723, over 47088.67 utterances.], batch size: 180, lr: 1.55e-04
+2022-09-19 19:13:32,599 INFO [train.py:885] (0/2) Epoch 30, batch 12100, loss[loss=0.2839, simple_loss=0.3612, pruned_loss=0.1033, over 14250.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04559, over 141.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3432, pruned_loss=0.09661, over 2782804.27 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07006, over 45227.05 utterances.], batch size: 141, lr: 1.55e-04
+2022-09-19 19:14:03,235 INFO [train.py:885] (0/2) Epoch 30, batch 12150, loss[loss=0.2604, simple_loss=0.3552, pruned_loss=0.08284, over 14022.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05681, over 366.00 utterances.], tot_loss[loss=0.267, simple_loss=0.3419, pruned_loss=0.09605, over 2779070.19 frames. utt_duration=248.4 frames, utt_pad_proportion=0.06995, over 45015.96 utterances.], batch size: 366, lr: 1.55e-04
+2022-09-19 19:14:32,901 INFO [train.py:885] (0/2) Epoch 30, batch 12200, loss[loss=0.2481, simple_loss=0.3304, pruned_loss=0.08293, over 14291.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.04195, over 154.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3424, pruned_loss=0.0969, over 2778906.15 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06912, over 44313.36 utterances.], batch size: 154, lr: 1.55e-04
+2022-09-19 19:15:01,973 INFO [train.py:885] (0/2) Epoch 30, batch 12250, loss[loss=0.2469, simple_loss=0.3326, pruned_loss=0.08056, over 14300.00 frames. utt_duration=373 frames, utt_pad_proportion=0.04111, over 154.00 utterances.], tot_loss[loss=0.2661, simple_loss=0.3403, pruned_loss=0.09597, over 2783391.38 frames. utt_duration=257.8 frames, utt_pad_proportion=0.06923, over 43439.53 utterances.], batch size: 154, lr: 1.55e-04
+2022-09-19 19:15:31,762 INFO [train.py:885] (0/2) Epoch 30, batch 12300, loss[loss=0.2781, simple_loss=0.3557, pruned_loss=0.1002, over 14271.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04001, over 180.00 utterances.], tot_loss[loss=0.2642, simple_loss=0.3381, pruned_loss=0.09514, over 2787324.15 frames. utt_duration=265.1 frames, utt_pad_proportion=0.06663, over 42292.09 utterances.], batch size: 180, lr: 1.55e-04
+2022-09-19 19:16:01,451 INFO [train.py:885] (0/2) Epoch 30, batch 12350, loss[loss=0.1674, simple_loss=0.2404, pruned_loss=0.04718, over 13604.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.08504, over 50.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3409, pruned_loss=0.09665, over 2788671.93 frames. utt_duration=258.9 frames, utt_pad_proportion=0.06714, over 43326.29 utterances.], batch size: 50, lr: 1.55e-04
+2022-09-19 19:16:30,363 INFO [train.py:885] (0/2) Epoch 30, batch 12400, loss[loss=0.1736, simple_loss=0.2119, pruned_loss=0.06767, over 13263.00 frames. utt_duration=1609 frames, utt_pad_proportion=0.1069, over 33.00 utterances.], tot_loss[loss=0.2657, simple_loss=0.3392, pruned_loss=0.09606, over 2790836.02 frames. utt_duration=262.6 frames, utt_pad_proportion=0.06601, over 42750.17 utterances.], batch size: 33, lr: 1.55e-04
+2022-09-19 19:17:00,562 INFO [train.py:885] (0/2) Epoch 30, batch 12450, loss[loss=0.3576, simple_loss=0.4102, pruned_loss=0.1525, over 14322.00 frames. utt_duration=220 frames, utt_pad_proportion=0.0391, over 262.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3427, pruned_loss=0.09735, over 2791063.32 frames. utt_duration=255.7 frames, utt_pad_proportion=0.06745, over 43918.88 utterances.], batch size: 262, lr: 1.55e-04
+2022-09-19 19:17:29,935 INFO [train.py:885] (0/2) Epoch 30, batch 12500, loss[loss=0.2122, simple_loss=0.2886, pruned_loss=0.06789, over 14049.00 frames. utt_duration=712.8 frames, utt_pad_proportion=0.05716, over 79.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3442, pruned_loss=0.09846, over 2787414.35 frames. utt_duration=252 frames, utt_pad_proportion=0.0671, over 44504.69 utterances.], batch size: 79, lr: 1.55e-04
+2022-09-19 19:17:59,449 INFO [train.py:885] (0/2) Epoch 30, batch 12550, loss[loss=0.3611, simple_loss=0.4126, pruned_loss=0.1548, over 14241.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04321, over 335.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3474, pruned_loss=0.1001, over 2787156.44 frames. utt_duration=242.2 frames, utt_pad_proportion=0.06753, over 46304.24 utterances.], batch size: 335, lr: 1.55e-04
+2022-09-19 19:18:27,155 INFO [train.py:885] (0/2) Epoch 30, batch 12600, loss[loss=0.2673, simple_loss=0.342, pruned_loss=0.09635, over 14354.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03349, over 244.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3427, pruned_loss=0.09765, over 2782452.08 frames. utt_duration=251.1 frames, utt_pad_proportion=0.06794, over 44586.13 utterances.], batch size: 244, lr: 1.55e-04
+2022-09-19 19:18:38,057 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-30.pt
+2022-09-19 19:18:45,528 INFO [train.py:885] (0/2) Epoch 31, batch 0, loss[loss=0.26, simple_loss=0.3326, pruned_loss=0.09366, over 14257.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04512, over 141.00 utterances.], tot_loss[loss=0.26, simple_loss=0.3326, pruned_loss=0.09366, over 14257.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04512, over 141.00 utterances.], batch size: 141, lr: 1.53e-04
+2022-09-19 19:19:15,458 INFO [train.py:885] (0/2) Epoch 31, batch 50, loss[loss=0.3605, simple_loss=0.4217, pruned_loss=0.1496, over 14326.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03843, over 262.00 utterances.], tot_loss[loss=0.2631, simple_loss=0.3351, pruned_loss=0.09551, over 628892.08 frames. utt_duration=282.7 frames, utt_pad_proportion=0.07033, over 8943.70 utterances.], batch size: 262, lr: 1.53e-04
+2022-09-19 19:19:45,010 INFO [train.py:885] (0/2) Epoch 31, batch 100, loss[loss=0.3153, simple_loss=0.3815, pruned_loss=0.1245, over 14202.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.04889, over 141.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.348, pruned_loss=0.1006, over 1103375.98 frames. utt_duration=242 frames, utt_pad_proportion=0.07715, over 18351.40 utterances.], batch size: 141, lr: 1.53e-04
+2022-09-19 19:20:15,062 INFO [train.py:885] (0/2) Epoch 31, batch 150, loss[loss=0.155, simple_loss=0.2315, pruned_loss=0.03923, over 12930.00 frames. utt_duration=2070 frames, utt_pad_proportion=0.1112, over 25.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3501, pruned_loss=0.09987, over 1471718.43 frames. utt_duration=231.2 frames, utt_pad_proportion=0.07686, over 25629.56 utterances.], batch size: 25, lr: 1.53e-04
+2022-09-19 19:20:43,644 INFO [train.py:885] (0/2) Epoch 31, batch 200, loss[loss=0.1476, simple_loss=0.2138, pruned_loss=0.04068, over 13258.00 frames. utt_duration=1295 frames, utt_pad_proportion=0.0943, over 41.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3433, pruned_loss=0.09645, over 1761316.09 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07396, over 28745.57 utterances.], batch size: 41, lr: 1.53e-04
+2022-09-19 19:21:13,542 INFO [train.py:885] (0/2) Epoch 31, batch 250, loss[loss=0.2502, simple_loss=0.2988, pruned_loss=0.1008, over 14168.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.04518, over 109.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3452, pruned_loss=0.09794, over 1988791.34 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07252, over 32575.88 utterances.], batch size: 109, lr: 1.53e-04
+2022-09-19 19:21:42,856 INFO [train.py:885] (0/2) Epoch 31, batch 300, loss[loss=0.1487, simple_loss=0.2289, pruned_loss=0.03424, over 12185.00 frames. utt_duration=2032 frames, utt_pad_proportion=0.1539, over 24.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3445, pruned_loss=0.09769, over 2162232.29 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07236, over 35413.07 utterances.], batch size: 24, lr: 1.53e-04
+2022-09-19 19:22:12,599 INFO [train.py:885] (0/2) Epoch 31, batch 350, loss[loss=0.1806, simple_loss=0.2577, pruned_loss=0.0517, over 13845.00 frames. utt_duration=804.2 frames, utt_pad_proportion=0.06374, over 69.00 utterances.], tot_loss[loss=0.274, simple_loss=0.349, pruned_loss=0.09944, over 2298777.50 frames. utt_duration=231.8 frames, utt_pad_proportion=0.07174, over 39924.89 utterances.], batch size: 69, lr: 1.53e-04
+2022-09-19 19:22:41,816 INFO [train.py:885] (0/2) Epoch 31, batch 400, loss[loss=0.1931, simple_loss=0.2623, pruned_loss=0.06196, over 12096.00 frames. utt_duration=2017 frames, utt_pad_proportion=0.1612, over 24.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3474, pruned_loss=0.09788, over 2404090.19 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07223, over 41045.52 utterances.], batch size: 24, lr: 1.53e-04
+2022-09-19 19:23:11,962 INFO [train.py:885] (0/2) Epoch 31, batch 450, loss[loss=0.1911, simple_loss=0.2577, pruned_loss=0.0622, over 13930.00 frames. utt_duration=809.3 frames, utt_pad_proportion=0.0579, over 69.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3462, pruned_loss=0.09715, over 2487505.68 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07092, over 42204.58 utterances.], batch size: 69, lr: 1.53e-04
+2022-09-19 19:23:40,613 INFO [train.py:885] (0/2) Epoch 31, batch 500, loss[loss=0.2547, simple_loss=0.3323, pruned_loss=0.08859, over 14303.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.04133, over 154.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3432, pruned_loss=0.09605, over 2553209.83 frames. utt_duration=243.7 frames, utt_pad_proportion=0.06948, over 42161.19 utterances.], batch size: 154, lr: 1.53e-04
+2022-09-19 19:24:11,256 INFO [train.py:885] (0/2) Epoch 31, batch 550, loss[loss=0.2387, simple_loss=0.2932, pruned_loss=0.0921, over 13808.00 frames. utt_duration=802.1 frames, utt_pad_proportion=0.06619, over 69.00 utterances.], tot_loss[loss=0.2662, simple_loss=0.3419, pruned_loss=0.09528, over 2604029.65 frames. utt_duration=247.1 frames, utt_pad_proportion=0.06919, over 42412.77 utterances.], batch size: 69, lr: 1.53e-04
+2022-09-19 19:24:41,318 INFO [train.py:885] (0/2) Epoch 31, batch 600, loss[loss=0.2403, simple_loss=0.3176, pruned_loss=0.0815, over 14292.00 frames. utt_duration=477.9 frames, utt_pad_proportion=0.04029, over 120.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.343, pruned_loss=0.09693, over 2642099.73 frames. utt_duration=246.6 frames, utt_pad_proportion=0.06968, over 43113.41 utterances.], batch size: 120, lr: 1.53e-04
+2022-09-19 19:25:10,745 INFO [train.py:885] (0/2) Epoch 31, batch 650, loss[loss=0.1757, simple_loss=0.2295, pruned_loss=0.06101, over 13848.00 frames. utt_duration=924.7 frames, utt_pad_proportion=0.06781, over 60.00 utterances.], tot_loss[loss=0.2662, simple_loss=0.3406, pruned_loss=0.0959, over 2670155.43 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07074, over 43175.74 utterances.], batch size: 60, lr: 1.53e-04
+2022-09-19 19:25:39,014 INFO [train.py:885] (0/2) Epoch 31, batch 700, loss[loss=0.249, simple_loss=0.3295, pruned_loss=0.0842, over 14220.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.04495, over 141.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3421, pruned_loss=0.09734, over 2693831.86 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07057, over 43086.67 utterances.], batch size: 141, lr: 1.53e-04
+2022-09-19 19:26:09,574 INFO [train.py:885] (0/2) Epoch 31, batch 750, loss[loss=0.261, simple_loss=0.3144, pruned_loss=0.1038, over 14159.00 frames. utt_duration=637.9 frames, utt_pad_proportion=0.0493, over 89.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3446, pruned_loss=0.09844, over 2717924.12 frames. utt_duration=246.1 frames, utt_pad_proportion=0.06824, over 44442.69 utterances.], batch size: 89, lr: 1.53e-04
+2022-09-19 19:26:39,508 INFO [train.py:885] (0/2) Epoch 31, batch 800, loss[loss=0.167, simple_loss=0.2325, pruned_loss=0.05073, over 13006.00 frames. utt_duration=1578 frames, utt_pad_proportion=0.1267, over 33.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3442, pruned_loss=0.09861, over 2735658.10 frames. utt_duration=249.8 frames, utt_pad_proportion=0.06602, over 44063.51 utterances.], batch size: 33, lr: 1.53e-04
+2022-09-19 19:27:08,724 INFO [train.py:885] (0/2) Epoch 31, batch 850, loss[loss=0.3434, simple_loss=0.3947, pruned_loss=0.1461, over 14360.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03361, over 244.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3457, pruned_loss=0.09939, over 2747272.70 frames. utt_duration=246.3 frames, utt_pad_proportion=0.06811, over 44888.46 utterances.], batch size: 244, lr: 1.52e-04
+2022-09-19 19:27:38,074 INFO [train.py:885] (0/2) Epoch 31, batch 900, loss[loss=0.2348, simple_loss=0.3043, pruned_loss=0.08264, over 14303.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.03999, over 120.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3411, pruned_loss=0.09711, over 2752226.11 frames. utt_duration=256 frames, utt_pad_proportion=0.06728, over 43245.52 utterances.], batch size: 120, lr: 1.52e-04
+2022-09-19 19:28:07,455 INFO [train.py:885] (0/2) Epoch 31, batch 950, loss[loss=0.3888, simple_loss=0.4399, pruned_loss=0.1688, over 14229.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04359, over 335.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3422, pruned_loss=0.09818, over 2760253.85 frames. utt_duration=257.6 frames, utt_pad_proportion=0.06693, over 43110.20 utterances.], batch size: 335, lr: 1.52e-04
+2022-09-19 19:28:36,560 INFO [train.py:885] (0/2) Epoch 31, batch 1000, loss[loss=0.2776, simple_loss=0.3665, pruned_loss=0.09431, over 14327.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03795, over 283.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3461, pruned_loss=0.09981, over 2765500.18 frames. utt_duration=248.4 frames, utt_pad_proportion=0.06807, over 44804.78 utterances.], batch size: 283, lr: 1.52e-04
+2022-09-19 19:29:06,861 INFO [train.py:885] (0/2) Epoch 31, batch 1050, loss[loss=0.446, simple_loss=0.5268, pruned_loss=0.1826, over 13150.00 frames. utt_duration=82.06 frames, utt_pad_proportion=0.108, over 653.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3463, pruned_loss=0.09926, over 2765710.78 frames. utt_duration=244.4 frames, utt_pad_proportion=0.0697, over 45547.33 utterances.], batch size: 653, lr: 1.52e-04
+2022-09-19 19:29:35,792 INFO [train.py:885] (0/2) Epoch 31, batch 1100, loss[loss=0.3329, simple_loss=0.4263, pruned_loss=0.1198, over 13698.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07885, over 478.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3435, pruned_loss=0.09764, over 2770336.70 frames. utt_duration=252.1 frames, utt_pad_proportion=0.06787, over 44213.73 utterances.], batch size: 478, lr: 1.52e-04
+2022-09-19 19:30:05,474 INFO [train.py:885] (0/2) Epoch 31, batch 1150, loss[loss=0.3352, simple_loss=0.4111, pruned_loss=0.1297, over 13995.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05641, over 365.00 utterances.], tot_loss[loss=0.2666, simple_loss=0.3409, pruned_loss=0.0961, over 2773364.80 frames. utt_duration=256.3 frames, utt_pad_proportion=0.06683, over 43533.67 utterances.], batch size: 365, lr: 1.52e-04
+2022-09-19 19:30:35,002 INFO [train.py:885] (0/2) Epoch 31, batch 1200, loss[loss=0.4713, simple_loss=0.5191, pruned_loss=0.2118, over 13803.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06903, over 411.00 utterances.], tot_loss[loss=0.2663, simple_loss=0.3405, pruned_loss=0.09602, over 2774479.60 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06871, over 43900.02 utterances.], batch size: 411, lr: 1.52e-04
+2022-09-19 19:31:04,820 INFO [train.py:885] (0/2) Epoch 31, batch 1250, loss[loss=0.1788, simple_loss=0.2571, pruned_loss=0.05029, over 13902.00 frames. utt_duration=928.2 frames, utt_pad_proportion=0.06804, over 60.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3459, pruned_loss=0.09775, over 2772282.37 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07239, over 46942.92 utterances.], batch size: 60, lr: 1.52e-04
+2022-09-19 19:31:33,656 INFO [train.py:885] (0/2) Epoch 31, batch 1300, loss[loss=0.2742, simple_loss=0.3716, pruned_loss=0.08837, over 13762.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07231, over 411.00 utterances.], tot_loss[loss=0.267, simple_loss=0.3419, pruned_loss=0.09604, over 2771050.09 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07186, over 45546.07 utterances.], batch size: 411, lr: 1.52e-04
+2022-09-19 19:32:02,996 INFO [train.py:885] (0/2) Epoch 31, batch 1350, loss[loss=0.3002, simple_loss=0.3766, pruned_loss=0.1119, over 14281.00 frames. utt_duration=203.4 frames, utt_pad_proportion=0.04035, over 283.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3452, pruned_loss=0.09741, over 2771959.02 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07466, over 46927.29 utterances.], batch size: 283, lr: 1.52e-04
+2022-09-19 19:32:32,909 INFO [train.py:885] (0/2) Epoch 31, batch 1400, loss[loss=0.1652, simple_loss=0.2406, pruned_loss=0.04488, over 12340.00 frames. utt_duration=2058 frames, utt_pad_proportion=0.1665, over 24.00 utterances.], tot_loss[loss=0.2662, simple_loss=0.3418, pruned_loss=0.09528, over 2773143.52 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07279, over 46044.29 utterances.], batch size: 24, lr: 1.52e-04
+2022-09-19 19:32:33,524 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-380000.pt
+2022-09-19 19:33:02,741 INFO [train.py:885] (0/2) Epoch 31, batch 1450, loss[loss=0.5433, simple_loss=0.6186, pruned_loss=0.234, over 12405.00 frames. utt_duration=62.85 frames, utt_pad_proportion=0.1507, over 810.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3469, pruned_loss=0.0984, over 2776561.11 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07372, over 47525.38 utterances.], batch size: 810, lr: 1.52e-04
+2022-09-19 19:33:33,470 INFO [train.py:885] (0/2) Epoch 31, batch 1500, loss[loss=0.2373, simple_loss=0.3128, pruned_loss=0.0809, over 14289.00 frames. utt_duration=477.7 frames, utt_pad_proportion=0.04073, over 120.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3496, pruned_loss=0.09985, over 2775273.52 frames. utt_duration=230.1 frames, utt_pad_proportion=0.07537, over 48563.29 utterances.], batch size: 120, lr: 1.52e-04
+2022-09-19 19:34:02,508 INFO [train.py:885] (0/2) Epoch 31, batch 1550, loss[loss=0.2175, simple_loss=0.2945, pruned_loss=0.07027, over 13875.00 frames. utt_duration=926.5 frames, utt_pad_proportion=0.06605, over 60.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3474, pruned_loss=0.09876, over 2774030.82 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07569, over 47573.64 utterances.], batch size: 60, lr: 1.52e-04
+2022-09-19 19:34:32,648 INFO [train.py:885] (0/2) Epoch 31, batch 1600, loss[loss=0.5012, simple_loss=0.5968, pruned_loss=0.2028, over 12482.00 frames. utt_duration=63.15 frames, utt_pad_proportion=0.1467, over 811.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3475, pruned_loss=0.09807, over 2774174.99 frames. utt_duration=231.7 frames, utt_pad_proportion=0.07629, over 48204.76 utterances.], batch size: 811, lr: 1.52e-04
+2022-09-19 19:35:01,379 INFO [train.py:885] (0/2) Epoch 31, batch 1650, loss[loss=0.3537, simple_loss=0.4078, pruned_loss=0.1498, over 14287.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.03996, over 180.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3465, pruned_loss=0.09755, over 2773230.50 frames. utt_duration=231.1 frames, utt_pad_proportion=0.07759, over 48318.27 utterances.], batch size: 180, lr: 1.52e-04
+2022-09-19 19:35:30,898 INFO [train.py:885] (0/2) Epoch 31, batch 1700, loss[loss=0.3553, simple_loss=0.4586, pruned_loss=0.126, over 13206.00 frames. utt_duration=82.44 frames, utt_pad_proportion=0.1039, over 653.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.344, pruned_loss=0.09631, over 2775836.53 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07517, over 46926.88 utterances.], batch size: 653, lr: 1.52e-04
+2022-09-19 19:36:03,226 INFO [train.py:885] (0/2) Epoch 31, batch 1750, loss[loss=0.1812, simple_loss=0.2626, pruned_loss=0.04988, over 14145.00 frames. utt_duration=637.3 frames, utt_pad_proportion=0.05022, over 89.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3433, pruned_loss=0.09651, over 2774016.09 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07614, over 46389.76 utterances.], batch size: 89, lr: 1.52e-04
+2022-09-19 19:36:36,691 INFO [train.py:885] (0/2) Epoch 31, batch 1800, loss[loss=0.1855, simple_loss=0.2405, pruned_loss=0.06527, over 12674.00 frames. utt_duration=2114 frames, utt_pad_proportion=0.1472, over 24.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3443, pruned_loss=0.09709, over 2773672.21 frames. utt_duration=239.7 frames, utt_pad_proportion=0.0759, over 46582.12 utterances.], batch size: 24, lr: 1.52e-04
+2022-09-19 19:37:06,091 INFO [train.py:885] (0/2) Epoch 31, batch 1850, loss[loss=0.2964, simple_loss=0.3675, pruned_loss=0.1126, over 14320.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03924, over 283.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.345, pruned_loss=0.09734, over 2777861.70 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07461, over 46853.13 utterances.], batch size: 283, lr: 1.52e-04
+2022-09-19 19:37:35,198 INFO [train.py:885] (0/2) Epoch 31, batch 1900, loss[loss=0.2175, simple_loss=0.2912, pruned_loss=0.07192, over 14120.00 frames. utt_duration=577.7 frames, utt_pad_proportion=0.04988, over 98.00 utterances.], tot_loss[loss=0.268, simple_loss=0.343, pruned_loss=0.09652, over 2777805.26 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07385, over 45919.37 utterances.], batch size: 98, lr: 1.52e-04
+2022-09-19 19:38:04,337 INFO [train.py:885] (0/2) Epoch 31, batch 1950, loss[loss=0.2945, simple_loss=0.3874, pruned_loss=0.1008, over 14005.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05566, over 365.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3425, pruned_loss=0.09663, over 2776239.42 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07435, over 45466.75 utterances.], batch size: 365, lr: 1.52e-04
+2022-09-19 19:38:34,189 INFO [train.py:885] (0/2) Epoch 31, batch 2000, loss[loss=0.2164, simple_loss=0.3005, pruned_loss=0.06619, over 13563.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08699, over 50.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3415, pruned_loss=0.09674, over 2776092.40 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07244, over 44633.20 utterances.], batch size: 50, lr: 1.52e-04
+2022-09-19 19:39:03,601 INFO [train.py:885] (0/2) Epoch 31, batch 2050, loss[loss=0.1505, simple_loss=0.2159, pruned_loss=0.04258, over 13487.00 frames. utt_duration=1636 frames, utt_pad_proportion=0.08792, over 33.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3451, pruned_loss=0.09794, over 2774849.88 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07499, over 46390.60 utterances.], batch size: 33, lr: 1.52e-04
+2022-09-19 19:39:33,777 INFO [train.py:885] (0/2) Epoch 31, batch 2100, loss[loss=0.2133, simple_loss=0.2929, pruned_loss=0.06689, over 14087.00 frames. utt_duration=576.5 frames, utt_pad_proportion=0.05342, over 98.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3458, pruned_loss=0.09842, over 2779126.39 frames. utt_duration=243 frames, utt_pad_proportion=0.07355, over 46020.49 utterances.], batch size: 98, lr: 1.52e-04
+2022-09-19 19:40:02,568 INFO [train.py:885] (0/2) Epoch 31, batch 2150, loss[loss=0.2647, simple_loss=0.3507, pruned_loss=0.08933, over 14347.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03831, over 167.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3444, pruned_loss=0.09745, over 2776865.44 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07356, over 45493.64 utterances.], batch size: 167, lr: 1.52e-04
+2022-09-19 19:40:32,637 INFO [train.py:885] (0/2) Epoch 31, batch 2200, loss[loss=0.5807, simple_loss=0.6419, pruned_loss=0.2598, over 12396.00 frames. utt_duration=62.81 frames, utt_pad_proportion=0.1512, over 810.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3453, pruned_loss=0.0981, over 2774269.44 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07462, over 46220.14 utterances.], batch size: 810, lr: 1.52e-04
+2022-09-19 19:41:02,407 INFO [train.py:885] (0/2) Epoch 31, batch 2250, loss[loss=0.3749, simple_loss=0.4688, pruned_loss=0.1405, over 13096.00 frames. utt_duration=81.7 frames, utt_pad_proportion=0.112, over 653.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3445, pruned_loss=0.09766, over 2773296.31 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07397, over 45995.69 utterances.], batch size: 653, lr: 1.52e-04
+2022-09-19 19:41:31,539 INFO [train.py:885] (0/2) Epoch 31, batch 2300, loss[loss=0.3334, simple_loss=0.4257, pruned_loss=0.1206, over 13654.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07898, over 477.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3479, pruned_loss=0.09991, over 2777204.49 frames. utt_duration=239 frames, utt_pad_proportion=0.07338, over 46759.80 utterances.], batch size: 477, lr: 1.52e-04
+2022-09-19 19:42:01,490 INFO [train.py:885] (0/2) Epoch 31, batch 2350, loss[loss=0.265, simple_loss=0.3433, pruned_loss=0.09339, over 14359.00 frames. utt_duration=296.1 frames, utt_pad_proportion=0.03546, over 195.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.35, pruned_loss=0.1008, over 2775026.30 frames. utt_duration=231.8 frames, utt_pad_proportion=0.07463, over 48202.82 utterances.], batch size: 195, lr: 1.52e-04
+2022-09-19 19:42:30,879 INFO [train.py:885] (0/2) Epoch 31, batch 2400, loss[loss=0.3021, simple_loss=0.3757, pruned_loss=0.1143, over 14337.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03717, over 195.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3502, pruned_loss=0.1009, over 2772936.52 frames. utt_duration=232.8 frames, utt_pad_proportion=0.07473, over 47952.02 utterances.], batch size: 195, lr: 1.52e-04
+2022-09-19 19:43:00,053 INFO [train.py:885] (0/2) Epoch 31, batch 2450, loss[loss=0.2791, simple_loss=0.3592, pruned_loss=0.09946, over 14315.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03879, over 283.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3504, pruned_loss=0.1012, over 2777196.17 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07476, over 47555.82 utterances.], batch size: 283, lr: 1.52e-04
+2022-09-19 19:43:29,939 INFO [train.py:885] (0/2) Epoch 31, batch 2500, loss[loss=0.1645, simple_loss=0.2329, pruned_loss=0.04799, over 13587.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08454, over 50.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3461, pruned_loss=0.09862, over 2784487.00 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07158, over 45306.33 utterances.], batch size: 50, lr: 1.52e-04
+2022-09-19 19:43:59,492 INFO [train.py:885] (0/2) Epoch 31, batch 2550, loss[loss=0.1824, simple_loss=0.2566, pruned_loss=0.05409, over 13930.00 frames. utt_duration=706.8 frames, utt_pad_proportion=0.06009, over 79.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3451, pruned_loss=0.09765, over 2784851.50 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07148, over 45484.06 utterances.], batch size: 79, lr: 1.52e-04
+2022-09-19 19:44:29,211 INFO [train.py:885] (0/2) Epoch 31, batch 2600, loss[loss=0.436, simple_loss=0.5408, pruned_loss=0.1656, over 12468.00 frames. utt_duration=63.16 frames, utt_pad_proportion=0.1465, over 810.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3441, pruned_loss=0.09741, over 2782186.85 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07193, over 45194.92 utterances.], batch size: 810, lr: 1.52e-04
+2022-09-19 19:44:59,315 INFO [train.py:885] (0/2) Epoch 31, batch 2650, loss[loss=0.2879, simple_loss=0.3584, pruned_loss=0.1086, over 14329.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04007, over 142.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3429, pruned_loss=0.09692, over 2776367.77 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07378, over 45036.35 utterances.], batch size: 142, lr: 1.52e-04
+2022-09-19 19:45:28,678 INFO [train.py:885] (0/2) Epoch 31, batch 2700, loss[loss=0.26, simple_loss=0.3267, pruned_loss=0.09662, over 14312.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.03736, over 130.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3471, pruned_loss=0.09921, over 2775767.61 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07395, over 46920.80 utterances.], batch size: 130, lr: 1.52e-04
+2022-09-19 19:45:58,277 INFO [train.py:885] (0/2) Epoch 31, batch 2750, loss[loss=0.19, simple_loss=0.2559, pruned_loss=0.06204, over 13347.00 frames. utt_duration=1303 frames, utt_pad_proportion=0.09038, over 41.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.345, pruned_loss=0.09793, over 2776870.62 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07436, over 45777.40 utterances.], batch size: 41, lr: 1.52e-04
+2022-09-19 19:46:27,661 INFO [train.py:885] (0/2) Epoch 31, batch 2800, loss[loss=0.3008, simple_loss=0.3711, pruned_loss=0.1153, over 14378.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03195, over 244.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3457, pruned_loss=0.09765, over 2775341.86 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07624, over 46666.83 utterances.], batch size: 244, lr: 1.52e-04
+2022-09-19 19:46:57,810 INFO [train.py:885] (0/2) Epoch 31, batch 2850, loss[loss=0.585, simple_loss=0.6498, pruned_loss=0.2601, over 12405.00 frames. utt_duration=62.92 frames, utt_pad_proportion=0.1497, over 810.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3457, pruned_loss=0.09793, over 2777337.69 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07721, over 46213.80 utterances.], batch size: 810, lr: 1.52e-04
+2022-09-19 19:47:26,907 INFO [train.py:885] (0/2) Epoch 31, batch 2900, loss[loss=0.2939, simple_loss=0.3649, pruned_loss=0.1114, over 14367.00 frames. utt_duration=275.1 frames, utt_pad_proportion=0.03485, over 210.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3439, pruned_loss=0.09756, over 2783701.91 frames. utt_duration=246.6 frames, utt_pad_proportion=0.0727, over 45425.58 utterances.], batch size: 210, lr: 1.52e-04
+2022-09-19 19:47:57,456 INFO [train.py:885] (0/2) Epoch 31, batch 2950, loss[loss=0.2711, simple_loss=0.354, pruned_loss=0.09415, over 14320.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.0381, over 195.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3469, pruned_loss=0.09848, over 2782101.63 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07416, over 46762.16 utterances.], batch size: 195, lr: 1.52e-04
+2022-09-19 19:48:26,650 INFO [train.py:885] (0/2) Epoch 31, batch 3000, loss[loss=0.3071, simple_loss=0.4057, pruned_loss=0.1043, over 13647.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.0824, over 478.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3483, pruned_loss=0.09891, over 2782840.63 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07176, over 47681.83 utterances.], batch size: 478, lr: 1.52e-04
+2022-09-19 19:48:26,651 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 19:48:30,860 INFO [train.py:914] (0/2) Epoch 31, validation: loss=0.1927, simple_loss=0.2745, pruned_loss=0.0555, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 19:49:00,822 INFO [train.py:885] (0/2) Epoch 31, batch 3050, loss[loss=0.3307, simple_loss=0.4385, pruned_loss=0.1115, over 13174.00 frames. utt_duration=82.25 frames, utt_pad_proportion=0.106, over 653.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3505, pruned_loss=0.09962, over 2779522.93 frames. utt_duration=228.5 frames, utt_pad_proportion=0.07542, over 48980.82 utterances.], batch size: 653, lr: 1.52e-04
+2022-09-19 19:49:30,257 INFO [train.py:885] (0/2) Epoch 31, batch 3100, loss[loss=0.3149, simple_loss=0.3931, pruned_loss=0.1184, over 13967.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05832, over 365.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3485, pruned_loss=0.09872, over 2779269.37 frames. utt_duration=231.9 frames, utt_pad_proportion=0.07379, over 48237.12 utterances.], batch size: 365, lr: 1.52e-04
+2022-09-19 19:50:00,516 INFO [train.py:885] (0/2) Epoch 31, batch 3150, loss[loss=0.3306, simple_loss=0.3982, pruned_loss=0.1315, over 14355.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03598, over 195.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3456, pruned_loss=0.09725, over 2781393.67 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07314, over 47287.98 utterances.], batch size: 195, lr: 1.52e-04
+2022-09-19 19:50:29,797 INFO [train.py:885] (0/2) Epoch 31, batch 3200, loss[loss=0.258, simple_loss=0.3249, pruned_loss=0.09551, over 13930.00 frames. utt_duration=706.8 frames, utt_pad_proportion=0.06381, over 79.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.346, pruned_loss=0.09739, over 2781120.75 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07277, over 47679.71 utterances.], batch size: 79, lr: 1.52e-04
+2022-09-19 19:50:59,375 INFO [train.py:885] (0/2) Epoch 31, batch 3250, loss[loss=0.2282, simple_loss=0.3015, pruned_loss=0.0774, over 14137.00 frames. utt_duration=520.3 frames, utt_pad_proportion=0.04715, over 109.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3435, pruned_loss=0.09669, over 2782182.35 frames. utt_duration=242.3 frames, utt_pad_proportion=0.0718, over 46206.45 utterances.], batch size: 109, lr: 1.52e-04
+2022-09-19 19:51:28,509 INFO [train.py:885] (0/2) Epoch 31, batch 3300, loss[loss=0.2752, simple_loss=0.3471, pruned_loss=0.1017, over 14335.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03945, over 167.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3433, pruned_loss=0.09702, over 2783659.59 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07022, over 45747.02 utterances.], batch size: 167, lr: 1.52e-04
+2022-09-19 19:51:58,025 INFO [train.py:885] (0/2) Epoch 31, batch 3350, loss[loss=0.2155, simple_loss=0.2961, pruned_loss=0.06742, over 13172.00 frames. utt_duration=2028 frames, utt_pad_proportion=0.1036, over 26.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3429, pruned_loss=0.09674, over 2782304.80 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07082, over 45106.92 utterances.], batch size: 26, lr: 1.52e-04
+2022-09-19 19:52:27,534 INFO [train.py:885] (0/2) Epoch 31, batch 3400, loss[loss=0.2509, simple_loss=0.3247, pruned_loss=0.08858, over 14244.00 frames. utt_duration=476.3 frames, utt_pad_proportion=0.04356, over 120.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3439, pruned_loss=0.09767, over 2784462.75 frames. utt_duration=244.5 frames, utt_pad_proportion=0.06956, over 45831.06 utterances.], batch size: 120, lr: 1.52e-04
+2022-09-19 19:52:57,665 INFO [train.py:885] (0/2) Epoch 31, batch 3450, loss[loss=0.2574, simple_loss=0.3281, pruned_loss=0.09331, over 14218.00 frames. utt_duration=523.3 frames, utt_pad_proportion=0.04155, over 109.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3477, pruned_loss=0.09877, over 2785115.00 frames. utt_duration=237 frames, utt_pad_proportion=0.07018, over 47306.34 utterances.], batch size: 109, lr: 1.52e-04
+2022-09-19 19:53:26,693 INFO [train.py:885] (0/2) Epoch 31, batch 3500, loss[loss=0.2465, simple_loss=0.3224, pruned_loss=0.08527, over 14150.00 frames. utt_duration=579.3 frames, utt_pad_proportion=0.05038, over 98.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3464, pruned_loss=0.09845, over 2787225.99 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07134, over 46304.31 utterances.], batch size: 98, lr: 1.52e-04
+2022-09-19 19:53:56,556 INFO [train.py:885] (0/2) Epoch 31, batch 3550, loss[loss=0.2086, simple_loss=0.281, pruned_loss=0.06814, over 14063.00 frames. utt_duration=575.6 frames, utt_pad_proportion=0.05647, over 98.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3477, pruned_loss=0.09951, over 2783585.45 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07288, over 46899.59 utterances.], batch size: 98, lr: 1.52e-04
+2022-09-19 19:54:25,854 INFO [train.py:885] (0/2) Epoch 31, batch 3600, loss[loss=0.2444, simple_loss=0.3313, pruned_loss=0.07878, over 14299.00 frames. utt_duration=373 frames, utt_pad_proportion=0.04105, over 154.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3481, pruned_loss=0.09922, over 2783249.11 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07194, over 47392.08 utterances.], batch size: 154, lr: 1.52e-04
+2022-09-19 19:54:55,533 INFO [train.py:885] (0/2) Epoch 31, batch 3650, loss[loss=0.3321, simple_loss=0.3944, pruned_loss=0.1349, over 14229.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04278, over 306.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3512, pruned_loss=0.1014, over 2783039.76 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07291, over 48009.19 utterances.], batch size: 306, lr: 1.52e-04
+2022-09-19 19:55:24,982 INFO [train.py:885] (0/2) Epoch 31, batch 3700, loss[loss=0.1729, simple_loss=0.234, pruned_loss=0.05591, over 13832.00 frames. utt_duration=923.6 frames, utt_pad_proportion=0.07179, over 60.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3465, pruned_loss=0.09866, over 2780231.66 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07311, over 46744.54 utterances.], batch size: 60, lr: 1.52e-04
+2022-09-19 19:55:55,146 INFO [train.py:885] (0/2) Epoch 31, batch 3750, loss[loss=0.3091, simple_loss=0.3987, pruned_loss=0.1097, over 13748.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07298, over 411.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3472, pruned_loss=0.09894, over 2782220.67 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07236, over 47523.62 utterances.], batch size: 411, lr: 1.52e-04
+2022-09-19 19:56:25,179 INFO [train.py:885] (0/2) Epoch 31, batch 3800, loss[loss=0.5155, simple_loss=0.6022, pruned_loss=0.2144, over 12432.00 frames. utt_duration=63.03 frames, utt_pad_proportion=0.1482, over 810.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.348, pruned_loss=0.09879, over 2779885.09 frames. utt_duration=232.4 frames, utt_pad_proportion=0.0738, over 48156.51 utterances.], batch size: 810, lr: 1.52e-04
+2022-09-19 19:56:54,886 INFO [train.py:885] (0/2) Epoch 31, batch 3850, loss[loss=0.3318, simple_loss=0.3921, pruned_loss=0.1357, over 14297.00 frames. utt_duration=255.8 frames, utt_pad_proportion=0.0385, over 225.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3467, pruned_loss=0.09714, over 2778783.58 frames. utt_duration=232 frames, utt_pad_proportion=0.07452, over 48215.70 utterances.], batch size: 225, lr: 1.52e-04
+2022-09-19 19:57:24,535 INFO [train.py:885] (0/2) Epoch 31, batch 3900, loss[loss=0.3174, simple_loss=0.4099, pruned_loss=0.1124, over 13784.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07084, over 411.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.345, pruned_loss=0.09625, over 2784887.61 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07089, over 46966.08 utterances.], batch size: 411, lr: 1.52e-04
+2022-09-19 19:57:54,088 INFO [train.py:885] (0/2) Epoch 31, batch 3950, loss[loss=0.2938, simple_loss=0.3647, pruned_loss=0.1115, over 14298.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.0405, over 262.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3447, pruned_loss=0.09652, over 2791352.12 frames. utt_duration=243 frames, utt_pad_proportion=0.06883, over 46229.47 utterances.], batch size: 262, lr: 1.52e-04
+2022-09-19 19:58:23,197 INFO [train.py:885] (0/2) Epoch 31, batch 4000, loss[loss=0.1733, simple_loss=0.2513, pruned_loss=0.04768, over 13891.00 frames. utt_duration=806.9 frames, utt_pad_proportion=0.05956, over 69.00 utterances.], tot_loss[loss=0.2635, simple_loss=0.339, pruned_loss=0.09402, over 2786248.50 frames. utt_duration=254.6 frames, utt_pad_proportion=0.06952, over 44037.87 utterances.], batch size: 69, lr: 1.52e-04
+2022-09-19 19:58:53,512 INFO [train.py:885] (0/2) Epoch 31, batch 4050, loss[loss=0.2952, simple_loss=0.3618, pruned_loss=0.1143, over 14344.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03916, over 167.00 utterances.], tot_loss[loss=0.2659, simple_loss=0.3421, pruned_loss=0.09482, over 2782821.01 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07116, over 45451.83 utterances.], batch size: 167, lr: 1.52e-04
+2022-09-19 19:59:23,144 INFO [train.py:885] (0/2) Epoch 31, batch 4100, loss[loss=0.2594, simple_loss=0.333, pruned_loss=0.09293, over 14152.00 frames. utt_duration=520.7 frames, utt_pad_proportion=0.04627, over 109.00 utterances.], tot_loss[loss=0.2676, simple_loss=0.3431, pruned_loss=0.09608, over 2784149.15 frames. utt_duration=246.3 frames, utt_pad_proportion=0.06976, over 45482.88 utterances.], batch size: 109, lr: 1.52e-04
+2022-09-19 19:59:52,429 INFO [train.py:885] (0/2) Epoch 31, batch 4150, loss[loss=0.1747, simple_loss=0.2378, pruned_loss=0.05579, over 13619.00 frames. utt_duration=1091 frames, utt_pad_proportion=0.08425, over 50.00 utterances.], tot_loss[loss=0.2664, simple_loss=0.3418, pruned_loss=0.09545, over 2781294.79 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07198, over 45270.17 utterances.], batch size: 50, lr: 1.52e-04
+2022-09-19 20:00:22,098 INFO [train.py:885] (0/2) Epoch 31, batch 4200, loss[loss=0.458, simple_loss=0.529, pruned_loss=0.1935, over 13183.00 frames. utt_duration=82.15 frames, utt_pad_proportion=0.107, over 654.00 utterances.], tot_loss[loss=0.266, simple_loss=0.3405, pruned_loss=0.09576, over 2784672.28 frames. utt_duration=253.3 frames, utt_pad_proportion=0.07071, over 44228.48 utterances.], batch size: 654, lr: 1.52e-04
+2022-09-19 20:00:52,292 INFO [train.py:885] (0/2) Epoch 31, batch 4250, loss[loss=0.2706, simple_loss=0.3442, pruned_loss=0.09844, over 14331.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.03941, over 154.00 utterances.], tot_loss[loss=0.2653, simple_loss=0.3394, pruned_loss=0.09556, over 2784239.59 frames. utt_duration=257.9 frames, utt_pad_proportion=0.06826, over 43431.49 utterances.], batch size: 154, lr: 1.52e-04
+2022-09-19 20:01:22,310 INFO [train.py:885] (0/2) Epoch 31, batch 4300, loss[loss=0.3334, simple_loss=0.3963, pruned_loss=0.1352, over 14198.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04458, over 306.00 utterances.], tot_loss[loss=0.2641, simple_loss=0.3383, pruned_loss=0.09495, over 2778599.34 frames. utt_duration=258.4 frames, utt_pad_proportion=0.07125, over 43264.92 utterances.], batch size: 306, lr: 1.52e-04
+2022-09-19 20:01:52,312 INFO [train.py:885] (0/2) Epoch 31, batch 4350, loss[loss=0.2604, simple_loss=0.3488, pruned_loss=0.08604, over 14256.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04182, over 225.00 utterances.], tot_loss[loss=0.2648, simple_loss=0.3391, pruned_loss=0.09524, over 2776803.94 frames. utt_duration=254.8 frames, utt_pad_proportion=0.0722, over 43846.18 utterances.], batch size: 225, lr: 1.52e-04
+2022-09-19 20:02:22,606 INFO [train.py:885] (0/2) Epoch 31, batch 4400, loss[loss=0.2514, simple_loss=0.3277, pruned_loss=0.08752, over 14318.00 frames. utt_duration=344.3 frames, utt_pad_proportion=0.04082, over 167.00 utterances.], tot_loss[loss=0.26, simple_loss=0.3346, pruned_loss=0.09272, over 2777633.36 frames. utt_duration=262.9 frames, utt_pad_proportion=0.07087, over 42494.32 utterances.], batch size: 167, lr: 1.52e-04
+2022-09-19 20:03:00,614 INFO [train.py:885] (0/2) Epoch 31, batch 4450, loss[loss=0.1868, simple_loss=0.254, pruned_loss=0.05975, over 13468.00 frames. utt_duration=1079 frames, utt_pad_proportion=0.09339, over 50.00 utterances.], tot_loss[loss=0.2592, simple_loss=0.3335, pruned_loss=0.09245, over 2777570.04 frames. utt_duration=269.6 frames, utt_pad_proportion=0.06932, over 41441.75 utterances.], batch size: 50, lr: 1.52e-04
+2022-09-19 20:03:30,093 INFO [train.py:885] (0/2) Epoch 31, batch 4500, loss[loss=0.2739, simple_loss=0.356, pruned_loss=0.09594, over 14389.00 frames. utt_duration=275.4 frames, utt_pad_proportion=0.03367, over 210.00 utterances.], tot_loss[loss=0.2633, simple_loss=0.3379, pruned_loss=0.09438, over 2777167.77 frames. utt_duration=257.4 frames, utt_pad_proportion=0.07008, over 43412.59 utterances.], batch size: 210, lr: 1.52e-04
+2022-09-19 20:04:00,460 INFO [train.py:885] (0/2) Epoch 31, batch 4550, loss[loss=0.2413, simple_loss=0.3123, pruned_loss=0.08517, over 14335.00 frames. utt_duration=344.5 frames, utt_pad_proportion=0.04031, over 167.00 utterances.], tot_loss[loss=0.2627, simple_loss=0.3377, pruned_loss=0.0939, over 2777226.23 frames. utt_duration=255.6 frames, utt_pad_proportion=0.07074, over 43711.96 utterances.], batch size: 167, lr: 1.52e-04
+2022-09-19 20:04:31,112 INFO [train.py:885] (0/2) Epoch 31, batch 4600, loss[loss=0.3668, simple_loss=0.4715, pruned_loss=0.131, over 13146.00 frames. utt_duration=82.01 frames, utt_pad_proportion=0.1085, over 653.00 utterances.], tot_loss[loss=0.265, simple_loss=0.3401, pruned_loss=0.09494, over 2779049.14 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07067, over 45426.85 utterances.], batch size: 653, lr: 1.52e-04
+2022-09-19 20:05:00,015 INFO [train.py:885] (0/2) Epoch 31, batch 4650, loss[loss=0.4294, simple_loss=0.5482, pruned_loss=0.1554, over 12454.00 frames. utt_duration=63.08 frames, utt_pad_proportion=0.1476, over 810.00 utterances.], tot_loss[loss=0.2627, simple_loss=0.3376, pruned_loss=0.09397, over 2779271.02 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07189, over 44331.04 utterances.], batch size: 810, lr: 1.52e-04
+2022-09-19 20:05:30,331 INFO [train.py:885] (0/2) Epoch 31, batch 4700, loss[loss=0.2472, simple_loss=0.307, pruned_loss=0.09367, over 14032.00 frames. utt_duration=574.1 frames, utt_pad_proportion=0.05892, over 98.00 utterances.], tot_loss[loss=0.262, simple_loss=0.3378, pruned_loss=0.09314, over 2780766.68 frames. utt_duration=251.3 frames, utt_pad_proportion=0.07036, over 44529.42 utterances.], batch size: 98, lr: 1.52e-04
+2022-09-19 20:06:00,090 INFO [train.py:885] (0/2) Epoch 31, batch 4750, loss[loss=0.436, simple_loss=0.5242, pruned_loss=0.1739, over 13138.00 frames. utt_duration=81.99 frames, utt_pad_proportion=0.1088, over 653.00 utterances.], tot_loss[loss=0.2666, simple_loss=0.3426, pruned_loss=0.0953, over 2780700.79 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07124, over 46481.33 utterances.], batch size: 653, lr: 1.52e-04
+2022-09-19 20:06:30,179 INFO [train.py:885] (0/2) Epoch 31, batch 4800, loss[loss=0.2901, simple_loss=0.3627, pruned_loss=0.1088, over 14366.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03322, over 244.00 utterances.], tot_loss[loss=0.265, simple_loss=0.3412, pruned_loss=0.09444, over 2780194.50 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07083, over 45717.54 utterances.], batch size: 244, lr: 1.52e-04
+2022-09-19 20:06:59,636 INFO [train.py:885] (0/2) Epoch 31, batch 4850, loss[loss=0.2659, simple_loss=0.3556, pruned_loss=0.08806, over 14320.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.03756, over 154.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.3428, pruned_loss=0.09528, over 2783523.58 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07001, over 46328.05 utterances.], batch size: 154, lr: 1.52e-04
+2022-09-19 20:07:30,100 INFO [train.py:885] (0/2) Epoch 31, batch 4900, loss[loss=0.279, simple_loss=0.3529, pruned_loss=0.1025, over 14249.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04204, over 225.00 utterances.], tot_loss[loss=0.2654, simple_loss=0.341, pruned_loss=0.09495, over 2779518.98 frames. utt_duration=245.9 frames, utt_pad_proportion=0.06913, over 45484.11 utterances.], batch size: 225, lr: 1.52e-04
+2022-09-19 20:08:00,106 INFO [train.py:885] (0/2) Epoch 31, batch 4950, loss[loss=0.2264, simple_loss=0.286, pruned_loss=0.08341, over 14068.00 frames. utt_duration=575.6 frames, utt_pad_proportion=0.05487, over 98.00 utterances.], tot_loss[loss=0.2636, simple_loss=0.3393, pruned_loss=0.09397, over 2780654.21 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06807, over 44896.04 utterances.], batch size: 98, lr: 1.52e-04
+2022-09-19 20:08:29,583 INFO [train.py:885] (0/2) Epoch 31, batch 5000, loss[loss=0.2192, simple_loss=0.2982, pruned_loss=0.07007, over 14302.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.0403, over 130.00 utterances.], tot_loss[loss=0.2652, simple_loss=0.3403, pruned_loss=0.09507, over 2774451.20 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07049, over 45098.34 utterances.], batch size: 130, lr: 1.52e-04
+2022-09-19 20:08:59,191 INFO [train.py:885] (0/2) Epoch 31, batch 5050, loss[loss=0.2272, simple_loss=0.2933, pruned_loss=0.08056, over 14147.00 frames. utt_duration=520.6 frames, utt_pad_proportion=0.04654, over 109.00 utterances.], tot_loss[loss=0.2624, simple_loss=0.3376, pruned_loss=0.09364, over 2775915.35 frames. utt_duration=254.2 frames, utt_pad_proportion=0.07076, over 43933.35 utterances.], batch size: 109, lr: 1.52e-04
+2022-09-19 20:09:29,408 INFO [train.py:885] (0/2) Epoch 31, batch 5100, loss[loss=0.2267, simple_loss=0.2946, pruned_loss=0.07942, over 14216.00 frames. utt_duration=523 frames, utt_pad_proportion=0.04206, over 109.00 utterances.], tot_loss[loss=0.2648, simple_loss=0.3395, pruned_loss=0.09508, over 2780295.14 frames. utt_duration=255.2 frames, utt_pad_proportion=0.06936, over 43831.47 utterances.], batch size: 109, lr: 1.52e-04
+2022-09-19 20:09:59,342 INFO [train.py:885] (0/2) Epoch 31, batch 5150, loss[loss=0.2181, simple_loss=0.3017, pruned_loss=0.06719, over 14208.00 frames. utt_duration=404.5 frames, utt_pad_proportion=0.04834, over 141.00 utterances.], tot_loss[loss=0.2659, simple_loss=0.3405, pruned_loss=0.09567, over 2776352.64 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07177, over 45292.51 utterances.], batch size: 141, lr: 1.52e-04
+2022-09-19 20:10:30,262 INFO [train.py:885] (0/2) Epoch 31, batch 5200, loss[loss=0.1566, simple_loss=0.2193, pruned_loss=0.04692, over 13385.00 frames. utt_duration=1307 frames, utt_pad_proportion=0.08727, over 41.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3416, pruned_loss=0.09599, over 2777285.01 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07022, over 46105.90 utterances.], batch size: 41, lr: 1.52e-04
+2022-09-19 20:11:00,115 INFO [train.py:885] (0/2) Epoch 31, batch 5250, loss[loss=0.2647, simple_loss=0.338, pruned_loss=0.09566, over 14351.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.0361, over 195.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3463, pruned_loss=0.0979, over 2781315.40 frames. utt_duration=230.7 frames, utt_pad_proportion=0.07142, over 48529.89 utterances.], batch size: 195, lr: 1.52e-04
+2022-09-19 20:11:30,023 INFO [train.py:885] (0/2) Epoch 31, batch 5300, loss[loss=0.3594, simple_loss=0.4423, pruned_loss=0.1382, over 13649.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07985, over 477.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3418, pruned_loss=0.0962, over 2780975.34 frames. utt_duration=243.3 frames, utt_pad_proportion=0.06943, over 46001.95 utterances.], batch size: 477, lr: 1.52e-04
+2022-09-19 20:12:00,403 INFO [train.py:885] (0/2) Epoch 31, batch 5350, loss[loss=0.213, simple_loss=0.287, pruned_loss=0.06947, over 14191.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.0435, over 109.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3417, pruned_loss=0.09597, over 2780194.07 frames. utt_duration=242.3 frames, utt_pad_proportion=0.06931, over 46185.15 utterances.], batch size: 109, lr: 1.52e-04
+2022-09-19 20:12:29,822 INFO [train.py:885] (0/2) Epoch 31, batch 5400, loss[loss=0.2105, simple_loss=0.2875, pruned_loss=0.06676, over 14153.00 frames. utt_duration=579.1 frames, utt_pad_proportion=0.04909, over 98.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.3419, pruned_loss=0.09626, over 2779068.51 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07222, over 46329.67 utterances.], batch size: 98, lr: 1.52e-04
+2022-09-19 20:12:30,452 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-384000.pt
+2022-09-19 20:13:00,085 INFO [train.py:885] (0/2) Epoch 31, batch 5450, loss[loss=0.3487, simple_loss=0.4464, pruned_loss=0.1255, over 13637.00 frames. utt_duration=98.8 frames, utt_pad_proportion=0.07665, over 560.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.3428, pruned_loss=0.09638, over 2778280.19 frames. utt_duration=239.8 frames, utt_pad_proportion=0.0733, over 46635.75 utterances.], batch size: 560, lr: 1.52e-04
+2022-09-19 20:13:30,312 INFO [train.py:885] (0/2) Epoch 31, batch 5500, loss[loss=0.2945, simple_loss=0.3734, pruned_loss=0.1078, over 14307.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03895, over 283.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3433, pruned_loss=0.09678, over 2781739.54 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07216, over 46184.59 utterances.], batch size: 283, lr: 1.52e-04
+2022-09-19 20:13:59,774 INFO [train.py:885] (0/2) Epoch 31, batch 5550, loss[loss=0.311, simple_loss=0.4014, pruned_loss=0.1103, over 14004.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05499, over 365.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3436, pruned_loss=0.09642, over 2781364.33 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07145, over 47163.82 utterances.], batch size: 365, lr: 1.52e-04
+2022-09-19 20:14:29,718 INFO [train.py:885] (0/2) Epoch 31, batch 5600, loss[loss=0.4116, simple_loss=0.497, pruned_loss=0.1631, over 13112.00 frames. utt_duration=81.88 frames, utt_pad_proportion=0.11, over 653.00 utterances.], tot_loss[loss=0.2676, simple_loss=0.3425, pruned_loss=0.09635, over 2782951.97 frames. utt_duration=244.4 frames, utt_pad_proportion=0.06961, over 45829.78 utterances.], batch size: 653, lr: 1.52e-04
+2022-09-19 20:15:00,165 INFO [train.py:885] (0/2) Epoch 31, batch 5650, loss[loss=0.3858, simple_loss=0.437, pruned_loss=0.1673, over 14264.00 frames. utt_duration=188 frames, utt_pad_proportion=0.04095, over 306.00 utterances.], tot_loss[loss=0.2664, simple_loss=0.3412, pruned_loss=0.09581, over 2783921.39 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06831, over 44947.16 utterances.], batch size: 306, lr: 1.52e-04
+2022-09-19 20:15:30,956 INFO [train.py:885] (0/2) Epoch 31, batch 5700, loss[loss=0.4139, simple_loss=0.4508, pruned_loss=0.1885, over 14306.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04003, over 262.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.346, pruned_loss=0.09842, over 2779381.85 frames. utt_duration=237.7 frames, utt_pad_proportion=0.0704, over 47067.45 utterances.], batch size: 262, lr: 1.52e-04
+2022-09-19 20:16:00,558 INFO [train.py:885] (0/2) Epoch 31, batch 5750, loss[loss=0.2386, simple_loss=0.3119, pruned_loss=0.08261, over 14320.00 frames. utt_duration=442 frames, utt_pad_proportion=0.03705, over 130.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3437, pruned_loss=0.09664, over 2780824.37 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07059, over 46755.62 utterances.], batch size: 130, lr: 1.52e-04
+2022-09-19 20:16:30,495 INFO [train.py:885] (0/2) Epoch 31, batch 5800, loss[loss=0.3976, simple_loss=0.4935, pruned_loss=0.1509, over 13136.00 frames. utt_duration=82.04 frames, utt_pad_proportion=0.1082, over 653.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3439, pruned_loss=0.09661, over 2778330.58 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07118, over 46573.49 utterances.], batch size: 653, lr: 1.52e-04
+2022-09-19 20:17:00,549 INFO [train.py:885] (0/2) Epoch 31, batch 5850, loss[loss=0.2224, simple_loss=0.2946, pruned_loss=0.07509, over 14079.00 frames. utt_duration=576.3 frames, utt_pad_proportion=0.05375, over 98.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.343, pruned_loss=0.09639, over 2780334.47 frames. utt_duration=244 frames, utt_pad_proportion=0.07071, over 45862.17 utterances.], batch size: 98, lr: 1.52e-04
+2022-09-19 20:17:29,825 INFO [train.py:885] (0/2) Epoch 31, batch 5900, loss[loss=0.1683, simple_loss=0.2456, pruned_loss=0.04552, over 13091.00 frames. utt_duration=1588 frames, utt_pad_proportion=0.122, over 33.00 utterances.], tot_loss[loss=0.2659, simple_loss=0.3411, pruned_loss=0.0954, over 2780373.68 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07016, over 45332.42 utterances.], batch size: 33, lr: 1.51e-04
+2022-09-19 20:18:00,009 INFO [train.py:885] (0/2) Epoch 31, batch 5950, loss[loss=0.2886, simple_loss=0.3885, pruned_loss=0.09431, over 13742.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07359, over 411.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3445, pruned_loss=0.09774, over 2777103.82 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07213, over 46536.12 utterances.], batch size: 411, lr: 1.51e-04
+2022-09-19 20:18:29,634 INFO [train.py:885] (0/2) Epoch 31, batch 6000, loss[loss=0.3041, simple_loss=0.3722, pruned_loss=0.118, over 14326.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03867, over 262.00 utterances.], tot_loss[loss=0.2652, simple_loss=0.3395, pruned_loss=0.09544, over 2773097.30 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07129, over 44778.12 utterances.], batch size: 262, lr: 1.51e-04
+2022-09-19 20:18:29,635 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 20:18:34,444 INFO [train.py:914] (0/2) Epoch 31, validation: loss=0.1919, simple_loss=0.2709, pruned_loss=0.05648, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 20:19:04,556 INFO [train.py:885] (0/2) Epoch 31, batch 6050, loss[loss=0.2654, simple_loss=0.3486, pruned_loss=0.09114, over 14364.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03279, over 244.00 utterances.], tot_loss[loss=0.2655, simple_loss=0.3398, pruned_loss=0.09563, over 2780259.16 frames. utt_duration=252.6 frames, utt_pad_proportion=0.06858, over 44291.38 utterances.], batch size: 244, lr: 1.51e-04
+2022-09-19 20:19:35,257 INFO [train.py:885] (0/2) Epoch 31, batch 6100, loss[loss=0.213, simple_loss=0.2891, pruned_loss=0.0685, over 14040.00 frames. utt_duration=574.6 frames, utt_pad_proportion=0.0581, over 98.00 utterances.], tot_loss[loss=0.2666, simple_loss=0.3413, pruned_loss=0.09593, over 2776853.43 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07125, over 45538.87 utterances.], batch size: 98, lr: 1.51e-04
+2022-09-19 20:20:04,830 INFO [train.py:885] (0/2) Epoch 31, batch 6150, loss[loss=0.6052, simple_loss=0.6491, pruned_loss=0.2806, over 12522.00 frames. utt_duration=63.39 frames, utt_pad_proportion=0.1434, over 810.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.3407, pruned_loss=0.09548, over 2777648.87 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07099, over 45403.26 utterances.], batch size: 810, lr: 1.51e-04
+2022-09-19 20:20:34,480 INFO [train.py:885] (0/2) Epoch 31, batch 6200, loss[loss=0.3029, simple_loss=0.403, pruned_loss=0.1014, over 13867.00 frames. utt_duration=136.4 frames, utt_pad_proportion=0.06554, over 411.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3427, pruned_loss=0.09614, over 2786098.21 frames. utt_duration=247 frames, utt_pad_proportion=0.06844, over 45382.58 utterances.], batch size: 411, lr: 1.51e-04
+2022-09-19 20:21:04,511 INFO [train.py:885] (0/2) Epoch 31, batch 6250, loss[loss=0.1749, simple_loss=0.2579, pruned_loss=0.04592, over 14055.00 frames. utt_duration=713.1 frames, utt_pad_proportion=0.05556, over 79.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3422, pruned_loss=0.09569, over 2778333.71 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07218, over 46034.30 utterances.], batch size: 79, lr: 1.51e-04
+2022-09-19 20:21:34,175 INFO [train.py:885] (0/2) Epoch 31, batch 6300, loss[loss=0.5969, simple_loss=0.6523, pruned_loss=0.2708, over 12510.00 frames. utt_duration=63.3 frames, utt_pad_proportion=0.1446, over 810.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3442, pruned_loss=0.09722, over 2780356.37 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07154, over 46321.80 utterances.], batch size: 810, lr: 1.51e-04
+2022-09-19 20:22:04,511 INFO [train.py:885] (0/2) Epoch 31, batch 6350, loss[loss=0.314, simple_loss=0.377, pruned_loss=0.1255, over 14277.00 frames. utt_duration=203.3 frames, utt_pad_proportion=0.04095, over 283.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3438, pruned_loss=0.09659, over 2777806.69 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07175, over 46648.32 utterances.], batch size: 283, lr: 1.51e-04
+2022-09-19 20:22:35,317 INFO [train.py:885] (0/2) Epoch 31, batch 6400, loss[loss=0.3121, simple_loss=0.417, pruned_loss=0.1036, over 13599.00 frames. utt_duration=115.5 frames, utt_pad_proportion=0.08298, over 477.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3464, pruned_loss=0.09805, over 2780719.90 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07213, over 47111.74 utterances.], batch size: 477, lr: 1.51e-04
+2022-09-19 20:23:05,233 INFO [train.py:885] (0/2) Epoch 31, batch 6450, loss[loss=0.3229, simple_loss=0.4149, pruned_loss=0.1155, over 13589.00 frames. utt_duration=115.5 frames, utt_pad_proportion=0.08311, over 477.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3464, pruned_loss=0.09831, over 2781528.83 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07108, over 46708.65 utterances.], batch size: 477, lr: 1.51e-04
+2022-09-19 20:23:35,806 INFO [train.py:885] (0/2) Epoch 31, batch 6500, loss[loss=0.3741, simple_loss=0.4174, pruned_loss=0.1654, over 14228.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04374, over 335.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.347, pruned_loss=0.09796, over 2778670.47 frames. utt_duration=232.9 frames, utt_pad_proportion=0.0726, over 48033.75 utterances.], batch size: 335, lr: 1.51e-04
+2022-09-19 20:24:05,588 INFO [train.py:885] (0/2) Epoch 31, batch 6550, loss[loss=0.1948, simple_loss=0.2793, pruned_loss=0.05516, over 12228.00 frames. utt_duration=2039 frames, utt_pad_proportion=0.1614, over 24.00 utterances.], tot_loss[loss=0.2666, simple_loss=0.3421, pruned_loss=0.0955, over 2777844.44 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07101, over 46235.32 utterances.], batch size: 24, lr: 1.51e-04
+2022-09-19 20:24:35,284 INFO [train.py:885] (0/2) Epoch 31, batch 6600, loss[loss=0.2908, simple_loss=0.3862, pruned_loss=0.09772, over 13795.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06986, over 411.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3439, pruned_loss=0.09629, over 2781656.38 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07033, over 46616.70 utterances.], batch size: 411, lr: 1.51e-04
+2022-09-19 20:25:04,447 INFO [train.py:885] (0/2) Epoch 31, batch 6650, loss[loss=0.3575, simple_loss=0.4393, pruned_loss=0.1379, over 13640.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07976, over 477.00 utterances.], tot_loss[loss=0.2644, simple_loss=0.3389, pruned_loss=0.0949, over 2782786.28 frames. utt_duration=254.8 frames, utt_pad_proportion=0.06913, over 43936.49 utterances.], batch size: 477, lr: 1.51e-04
+2022-09-19 20:25:34,121 INFO [train.py:885] (0/2) Epoch 31, batch 6700, loss[loss=0.1925, simple_loss=0.2707, pruned_loss=0.05719, over 13813.00 frames. utt_duration=802.3 frames, utt_pad_proportion=0.06599, over 69.00 utterances.], tot_loss[loss=0.263, simple_loss=0.3383, pruned_loss=0.09384, over 2783488.28 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06779, over 44033.24 utterances.], batch size: 69, lr: 1.51e-04
+2022-09-19 20:26:03,985 INFO [train.py:885] (0/2) Epoch 31, batch 6750, loss[loss=0.1688, simple_loss=0.2232, pruned_loss=0.05719, over 13689.00 frames. utt_duration=1097 frames, utt_pad_proportion=0.07599, over 50.00 utterances.], tot_loss[loss=0.2632, simple_loss=0.3383, pruned_loss=0.09404, over 2782251.31 frames. utt_duration=255.5 frames, utt_pad_proportion=0.06979, over 43812.04 utterances.], batch size: 50, lr: 1.51e-04
+2022-09-19 20:26:34,331 INFO [train.py:885] (0/2) Epoch 31, batch 6800, loss[loss=0.1366, simple_loss=0.2007, pruned_loss=0.03618, over 12363.00 frames. utt_duration=2062 frames, utt_pad_proportion=0.1639, over 24.00 utterances.], tot_loss[loss=0.262, simple_loss=0.3374, pruned_loss=0.09334, over 2779376.02 frames. utt_duration=257.9 frames, utt_pad_proportion=0.06812, over 43363.05 utterances.], batch size: 24, lr: 1.51e-04
+2022-09-19 20:27:03,387 INFO [train.py:885] (0/2) Epoch 31, batch 6850, loss[loss=0.263, simple_loss=0.3692, pruned_loss=0.07844, over 13809.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06909, over 411.00 utterances.], tot_loss[loss=0.2629, simple_loss=0.3385, pruned_loss=0.09366, over 2782520.36 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06763, over 44030.83 utterances.], batch size: 411, lr: 1.51e-04
+2022-09-19 20:27:32,389 INFO [train.py:885] (0/2) Epoch 31, batch 6900, loss[loss=0.1445, simple_loss=0.2103, pruned_loss=0.03937, over 12209.00 frames. utt_duration=2036 frames, utt_pad_proportion=0.1641, over 24.00 utterances.], tot_loss[loss=0.2639, simple_loss=0.3392, pruned_loss=0.09433, over 2781002.67 frames. utt_duration=256.5 frames, utt_pad_proportion=0.06788, over 43618.57 utterances.], batch size: 24, lr: 1.51e-04
+2022-09-19 20:28:01,974 INFO [train.py:885] (0/2) Epoch 31, batch 6950, loss[loss=0.224, simple_loss=0.3178, pruned_loss=0.06506, over 14327.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04015, over 167.00 utterances.], tot_loss[loss=0.2619, simple_loss=0.337, pruned_loss=0.09345, over 2780884.62 frames. utt_duration=262.2 frames, utt_pad_proportion=0.06789, over 42666.19 utterances.], batch size: 167, lr: 1.51e-04
+2022-09-19 20:28:31,204 INFO [train.py:885] (0/2) Epoch 31, batch 7000, loss[loss=0.3243, simple_loss=0.384, pruned_loss=0.1323, over 14327.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03825, over 283.00 utterances.], tot_loss[loss=0.263, simple_loss=0.3382, pruned_loss=0.09392, over 2781162.49 frames. utt_duration=258 frames, utt_pad_proportion=0.06753, over 43370.22 utterances.], batch size: 283, lr: 1.51e-04
+2022-09-19 20:29:01,447 INFO [train.py:885] (0/2) Epoch 31, batch 7050, loss[loss=0.3555, simple_loss=0.4585, pruned_loss=0.1263, over 13178.00 frames. utt_duration=82.25 frames, utt_pad_proportion=0.1059, over 653.00 utterances.], tot_loss[loss=0.2639, simple_loss=0.3391, pruned_loss=0.09439, over 2774092.04 frames. utt_duration=250.4 frames, utt_pad_proportion=0.0716, over 44585.41 utterances.], batch size: 653, lr: 1.51e-04
+2022-09-19 20:29:30,721 INFO [train.py:885] (0/2) Epoch 31, batch 7100, loss[loss=0.2899, simple_loss=0.3552, pruned_loss=0.1123, over 14285.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03949, over 180.00 utterances.], tot_loss[loss=0.2626, simple_loss=0.338, pruned_loss=0.09359, over 2779694.98 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06826, over 44217.90 utterances.], batch size: 180, lr: 1.51e-04
+2022-09-19 20:30:00,409 INFO [train.py:885] (0/2) Epoch 31, batch 7150, loss[loss=0.2951, simple_loss=0.3654, pruned_loss=0.1124, over 14351.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03312, over 244.00 utterances.], tot_loss[loss=0.2615, simple_loss=0.3364, pruned_loss=0.09326, over 2782795.98 frames. utt_duration=260.1 frames, utt_pad_proportion=0.06651, over 43038.32 utterances.], batch size: 244, lr: 1.51e-04
+2022-09-19 20:30:29,993 INFO [train.py:885] (0/2) Epoch 31, batch 7200, loss[loss=0.2219, simple_loss=0.3013, pruned_loss=0.07125, over 14081.00 frames. utt_duration=714.3 frames, utt_pad_proportion=0.05263, over 79.00 utterances.], tot_loss[loss=0.2624, simple_loss=0.3371, pruned_loss=0.09383, over 2780707.47 frames. utt_duration=259.2 frames, utt_pad_proportion=0.06706, over 43149.08 utterances.], batch size: 79, lr: 1.51e-04
+2022-09-19 20:30:58,860 INFO [train.py:885] (0/2) Epoch 31, batch 7250, loss[loss=0.2477, simple_loss=0.3349, pruned_loss=0.08022, over 14312.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.0384, over 195.00 utterances.], tot_loss[loss=0.263, simple_loss=0.3376, pruned_loss=0.09419, over 2782968.69 frames. utt_duration=257.7 frames, utt_pad_proportion=0.06745, over 43444.31 utterances.], batch size: 195, lr: 1.51e-04
+2022-09-19 20:31:28,974 INFO [train.py:885] (0/2) Epoch 31, batch 7300, loss[loss=0.1961, simple_loss=0.2757, pruned_loss=0.05827, over 14064.00 frames. utt_duration=713.5 frames, utt_pad_proportion=0.05621, over 79.00 utterances.], tot_loss[loss=0.265, simple_loss=0.3406, pruned_loss=0.09474, over 2784052.71 frames. utt_duration=247.1 frames, utt_pad_proportion=0.06852, over 45346.41 utterances.], batch size: 79, lr: 1.51e-04
+2022-09-19 20:31:58,057 INFO [train.py:885] (0/2) Epoch 31, batch 7350, loss[loss=0.3049, simple_loss=0.3803, pruned_loss=0.1148, over 14313.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.0386, over 283.00 utterances.], tot_loss[loss=0.2649, simple_loss=0.3396, pruned_loss=0.09505, over 2786633.07 frames. utt_duration=257 frames, utt_pad_proportion=0.06646, over 43616.90 utterances.], batch size: 283, lr: 1.51e-04
+2022-09-19 20:32:27,977 INFO [train.py:885] (0/2) Epoch 31, batch 7400, loss[loss=0.2709, simple_loss=0.3546, pruned_loss=0.09356, over 14351.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.0377, over 244.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3446, pruned_loss=0.09746, over 2789853.48 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06795, over 45139.28 utterances.], batch size: 244, lr: 1.51e-04
+2022-09-19 20:32:57,623 INFO [train.py:885] (0/2) Epoch 31, batch 7450, loss[loss=0.2212, simple_loss=0.2992, pruned_loss=0.07162, over 14153.00 frames. utt_duration=520.6 frames, utt_pad_proportion=0.04651, over 109.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.346, pruned_loss=0.09757, over 2786855.99 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07013, over 45919.97 utterances.], batch size: 109, lr: 1.51e-04
+2022-09-19 20:33:27,236 INFO [train.py:885] (0/2) Epoch 31, batch 7500, loss[loss=0.2324, simple_loss=0.3081, pruned_loss=0.07836, over 14277.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.04332, over 141.00 utterances.], tot_loss[loss=0.2664, simple_loss=0.3426, pruned_loss=0.09513, over 2784439.86 frames. utt_duration=245.9 frames, utt_pad_proportion=0.06846, over 45557.04 utterances.], batch size: 141, lr: 1.51e-04
+2022-09-19 20:33:57,971 INFO [train.py:885] (0/2) Epoch 31, batch 7550, loss[loss=0.2858, simple_loss=0.3617, pruned_loss=0.105, over 14333.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03785, over 283.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3452, pruned_loss=0.0963, over 2784634.12 frames. utt_duration=238.4 frames, utt_pad_proportion=0.0705, over 47020.12 utterances.], batch size: 283, lr: 1.51e-04
+2022-09-19 20:34:27,325 INFO [train.py:885] (0/2) Epoch 31, batch 7600, loss[loss=0.1653, simple_loss=0.2241, pruned_loss=0.05322, over 14016.00 frames. utt_duration=802.4 frames, utt_pad_proportion=0.06039, over 70.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3437, pruned_loss=0.09528, over 2784482.27 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07044, over 46957.51 utterances.], batch size: 70, lr: 1.51e-04
+2022-09-19 20:34:56,827 INFO [train.py:885] (0/2) Epoch 31, batch 7650, loss[loss=0.1841, simple_loss=0.2653, pruned_loss=0.05141, over 14224.00 frames. utt_duration=640.7 frames, utt_pad_proportion=0.04514, over 89.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.3423, pruned_loss=0.09463, over 2785600.24 frames. utt_duration=242.3 frames, utt_pad_proportion=0.06955, over 46260.34 utterances.], batch size: 89, lr: 1.51e-04
+2022-09-19 20:35:26,251 INFO [train.py:885] (0/2) Epoch 31, batch 7700, loss[loss=0.2608, simple_loss=0.3321, pruned_loss=0.09473, over 14348.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03918, over 167.00 utterances.], tot_loss[loss=0.2662, simple_loss=0.3413, pruned_loss=0.09551, over 2785497.87 frames. utt_duration=247.4 frames, utt_pad_proportion=0.06903, over 45304.79 utterances.], batch size: 167, lr: 1.51e-04
+2022-09-19 20:35:56,224 INFO [train.py:885] (0/2) Epoch 31, batch 7750, loss[loss=0.3166, simple_loss=0.4003, pruned_loss=0.1165, over 13983.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05606, over 365.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.3414, pruned_loss=0.09512, over 2783871.82 frames. utt_duration=245 frames, utt_pad_proportion=0.06975, over 45733.13 utterances.], batch size: 365, lr: 1.51e-04
+2022-09-19 20:36:25,291 INFO [train.py:885] (0/2) Epoch 31, batch 7800, loss[loss=0.1638, simple_loss=0.2366, pruned_loss=0.04551, over 13506.00 frames. utt_duration=1319 frames, utt_pad_proportion=0.07706, over 41.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.3413, pruned_loss=0.09517, over 2788001.53 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06863, over 44921.78 utterances.], batch size: 41, lr: 1.51e-04
+2022-09-19 20:36:55,182 INFO [train.py:885] (0/2) Epoch 31, batch 7850, loss[loss=0.2868, simple_loss=0.3828, pruned_loss=0.09537, over 13734.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07431, over 411.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.3416, pruned_loss=0.09499, over 2785734.09 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07, over 44884.98 utterances.], batch size: 411, lr: 1.51e-04
+2022-09-19 20:37:24,599 INFO [train.py:885] (0/2) Epoch 31, batch 7900, loss[loss=0.2721, simple_loss=0.3811, pruned_loss=0.0815, over 13613.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08201, over 477.00 utterances.], tot_loss[loss=0.2653, simple_loss=0.341, pruned_loss=0.09481, over 2785966.52 frames. utt_duration=250 frames, utt_pad_proportion=0.07046, over 44842.83 utterances.], batch size: 477, lr: 1.51e-04
+2022-09-19 20:37:54,075 INFO [train.py:885] (0/2) Epoch 31, batch 7950, loss[loss=0.314, simple_loss=0.3935, pruned_loss=0.1172, over 14010.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05548, over 365.00 utterances.], tot_loss[loss=0.2653, simple_loss=0.34, pruned_loss=0.09526, over 2783620.80 frames. utt_duration=255.5 frames, utt_pad_proportion=0.06934, over 43828.32 utterances.], batch size: 365, lr: 1.51e-04
+2022-09-19 20:38:23,346 INFO [train.py:885] (0/2) Epoch 31, batch 8000, loss[loss=0.1463, simple_loss=0.2101, pruned_loss=0.04124, over 13650.00 frames. utt_duration=1094 frames, utt_pad_proportion=0.08024, over 50.00 utterances.], tot_loss[loss=0.2654, simple_loss=0.3402, pruned_loss=0.09533, over 2782333.60 frames. utt_duration=252.6 frames, utt_pad_proportion=0.07111, over 44326.80 utterances.], batch size: 50, lr: 1.51e-04
+2022-09-19 20:38:53,073 INFO [train.py:885] (0/2) Epoch 31, batch 8050, loss[loss=0.4023, simple_loss=0.4789, pruned_loss=0.1628, over 13608.00 frames. utt_duration=98.66 frames, utt_pad_proportion=0.07797, over 560.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3435, pruned_loss=0.09669, over 2786243.91 frames. utt_duration=248 frames, utt_pad_proportion=0.07074, over 45203.62 utterances.], batch size: 560, lr: 1.51e-04
+2022-09-19 20:39:22,021 INFO [train.py:885] (0/2) Epoch 31, batch 8100, loss[loss=0.2577, simple_loss=0.3337, pruned_loss=0.09082, over 14257.00 frames. utt_duration=440.1 frames, utt_pad_proportion=0.04111, over 130.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3445, pruned_loss=0.09631, over 2787152.12 frames. utt_duration=242.1 frames, utt_pad_proportion=0.06991, over 46327.84 utterances.], batch size: 130, lr: 1.51e-04
+2022-09-19 20:39:51,650 INFO [train.py:885] (0/2) Epoch 31, batch 8150, loss[loss=0.1791, simple_loss=0.2472, pruned_loss=0.05555, over 13614.00 frames. utt_duration=1091 frames, utt_pad_proportion=0.08254, over 50.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3422, pruned_loss=0.09565, over 2790788.10 frames. utt_duration=251.4 frames, utt_pad_proportion=0.06746, over 44670.27 utterances.], batch size: 50, lr: 1.51e-04
+2022-09-19 20:40:21,541 INFO [train.py:885] (0/2) Epoch 31, batch 8200, loss[loss=0.3033, simple_loss=0.405, pruned_loss=0.1008, over 13661.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08136, over 478.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3418, pruned_loss=0.09557, over 2788166.90 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06888, over 45089.73 utterances.], batch size: 478, lr: 1.51e-04
+2022-09-19 20:40:50,783 INFO [train.py:885] (0/2) Epoch 31, batch 8250, loss[loss=0.3875, simple_loss=0.4847, pruned_loss=0.1451, over 13145.00 frames. utt_duration=82.1 frames, utt_pad_proportion=0.1076, over 653.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3422, pruned_loss=0.09571, over 2787919.64 frames. utt_duration=246.3 frames, utt_pad_proportion=0.06914, over 45542.45 utterances.], batch size: 653, lr: 1.51e-04
+2022-09-19 20:41:20,149 INFO [train.py:885] (0/2) Epoch 31, batch 8300, loss[loss=0.1653, simple_loss=0.2332, pruned_loss=0.04875, over 13644.00 frames. utt_duration=1300 frames, utt_pad_proportion=0.08157, over 42.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3434, pruned_loss=0.09638, over 2787159.63 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07023, over 45806.04 utterances.], batch size: 42, lr: 1.51e-04
+2022-09-19 20:41:49,369 INFO [train.py:885] (0/2) Epoch 31, batch 8350, loss[loss=0.2002, simple_loss=0.2797, pruned_loss=0.06036, over 14335.00 frames. utt_duration=479.2 frames, utt_pad_proportion=0.03965, over 120.00 utterances.], tot_loss[loss=0.2652, simple_loss=0.3404, pruned_loss=0.09504, over 2785660.25 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06845, over 44240.41 utterances.], batch size: 120, lr: 1.51e-04
+2022-09-19 20:42:19,327 INFO [train.py:885] (0/2) Epoch 31, batch 8400, loss[loss=0.4683, simple_loss=0.5752, pruned_loss=0.1807, over 12459.00 frames. utt_duration=63.09 frames, utt_pad_proportion=0.1474, over 811.00 utterances.], tot_loss[loss=0.2664, simple_loss=0.3413, pruned_loss=0.09578, over 2786211.34 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06955, over 44833.12 utterances.], batch size: 811, lr: 1.51e-04
+2022-09-19 20:42:49,113 INFO [train.py:885] (0/2) Epoch 31, batch 8450, loss[loss=0.3242, simple_loss=0.393, pruned_loss=0.1277, over 14293.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.0406, over 262.00 utterances.], tot_loss[loss=0.2636, simple_loss=0.3388, pruned_loss=0.09423, over 2791012.64 frames. utt_duration=256.7 frames, utt_pad_proportion=0.06672, over 43744.46 utterances.], batch size: 262, lr: 1.51e-04
+2022-09-19 20:43:18,488 INFO [train.py:885] (0/2) Epoch 31, batch 8500, loss[loss=0.3099, simple_loss=0.4211, pruned_loss=0.09936, over 13647.00 frames. utt_duration=98.92 frames, utt_pad_proportion=0.07553, over 560.00 utterances.], tot_loss[loss=0.2638, simple_loss=0.3393, pruned_loss=0.09417, over 2787369.49 frames. utt_duration=253 frames, utt_pad_proportion=0.06649, over 44335.05 utterances.], batch size: 560, lr: 1.51e-04
+2022-09-19 20:43:47,785 INFO [train.py:885] (0/2) Epoch 31, batch 8550, loss[loss=0.252, simple_loss=0.3236, pruned_loss=0.09024, over 14327.00 frames. utt_duration=479 frames, utt_pad_proportion=0.0381, over 120.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.3427, pruned_loss=0.09555, over 2788711.94 frames. utt_duration=245.7 frames, utt_pad_proportion=0.06713, over 45667.69 utterances.], batch size: 120, lr: 1.51e-04
+2022-09-19 20:44:16,452 INFO [train.py:885] (0/2) Epoch 31, batch 8600, loss[loss=0.2296, simple_loss=0.3153, pruned_loss=0.07192, over 14361.00 frames. utt_duration=443.2 frames, utt_pad_proportion=0.03439, over 130.00 utterances.], tot_loss[loss=0.2655, simple_loss=0.3415, pruned_loss=0.09474, over 2787471.46 frames. utt_duration=245.9 frames, utt_pad_proportion=0.06851, over 45625.76 utterances.], batch size: 130, lr: 1.51e-04
+2022-09-19 20:44:46,547 INFO [train.py:885] (0/2) Epoch 31, batch 8650, loss[loss=0.2322, simple_loss=0.3021, pruned_loss=0.08117, over 14079.00 frames. utt_duration=576.2 frames, utt_pad_proportion=0.0539, over 98.00 utterances.], tot_loss[loss=0.2661, simple_loss=0.3419, pruned_loss=0.09516, over 2785902.12 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07056, over 46099.36 utterances.], batch size: 98, lr: 1.51e-04
+2022-09-19 20:45:16,442 INFO [train.py:885] (0/2) Epoch 31, batch 8700, loss[loss=0.4065, simple_loss=0.4449, pruned_loss=0.184, over 14191.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04515, over 306.00 utterances.], tot_loss[loss=0.2666, simple_loss=0.3424, pruned_loss=0.09536, over 2782813.41 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07225, over 46243.10 utterances.], batch size: 306, lr: 1.51e-04
+2022-09-19 20:45:46,246 INFO [train.py:885] (0/2) Epoch 31, batch 8750, loss[loss=0.2391, simple_loss=0.3209, pruned_loss=0.07867, over 14318.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.03898, over 130.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3421, pruned_loss=0.09575, over 2786323.43 frames. utt_duration=246.1 frames, utt_pad_proportion=0.0695, over 45561.76 utterances.], batch size: 130, lr: 1.51e-04
+2022-09-19 20:46:15,414 INFO [train.py:885] (0/2) Epoch 31, batch 8800, loss[loss=0.2635, simple_loss=0.3391, pruned_loss=0.0939, over 14351.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.0387, over 167.00 utterances.], tot_loss[loss=0.2633, simple_loss=0.338, pruned_loss=0.09435, over 2787235.35 frames. utt_duration=257.5 frames, utt_pad_proportion=0.06883, over 43542.34 utterances.], batch size: 167, lr: 1.51e-04
+2022-09-19 20:46:45,400 INFO [train.py:885] (0/2) Epoch 31, batch 8850, loss[loss=0.3369, simple_loss=0.3933, pruned_loss=0.1403, over 14246.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04227, over 335.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3409, pruned_loss=0.09609, over 2789412.88 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06842, over 44377.45 utterances.], batch size: 335, lr: 1.51e-04
+2022-09-19 20:47:14,640 INFO [train.py:885] (0/2) Epoch 31, batch 8900, loss[loss=0.1932, simple_loss=0.2728, pruned_loss=0.05684, over 14084.00 frames. utt_duration=576.5 frames, utt_pad_proportion=0.05343, over 98.00 utterances.], tot_loss[loss=0.2643, simple_loss=0.339, pruned_loss=0.09484, over 2786519.31 frames. utt_duration=256.1 frames, utt_pad_proportion=0.06955, over 43779.73 utterances.], batch size: 98, lr: 1.51e-04
+2022-09-19 20:47:44,343 INFO [train.py:885] (0/2) Epoch 31, batch 8950, loss[loss=0.2749, simple_loss=0.3763, pruned_loss=0.08671, over 13727.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07429, over 411.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3428, pruned_loss=0.09654, over 2786197.06 frames. utt_duration=248.4 frames, utt_pad_proportion=0.06988, over 45137.27 utterances.], batch size: 411, lr: 1.51e-04
+2022-09-19 20:48:13,857 INFO [train.py:885] (0/2) Epoch 31, batch 9000, loss[loss=0.4238, simple_loss=0.5098, pruned_loss=0.1689, over 13171.00 frames. utt_duration=82.11 frames, utt_pad_proportion=0.1075, over 653.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.346, pruned_loss=0.09838, over 2781367.39 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07123, over 46678.83 utterances.], batch size: 653, lr: 1.51e-04
+2022-09-19 20:48:13,859 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 20:48:18,402 INFO [train.py:914] (0/2) Epoch 31, validation: loss=0.1913, simple_loss=0.2709, pruned_loss=0.05589, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 20:48:47,695 INFO [train.py:885] (0/2) Epoch 31, batch 9050, loss[loss=0.1994, simple_loss=0.2837, pruned_loss=0.0575, over 14261.00 frames. utt_duration=642.3 frames, utt_pad_proportion=0.04137, over 89.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3472, pruned_loss=0.09863, over 2781248.98 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07158, over 46979.51 utterances.], batch size: 89, lr: 1.51e-04
+2022-09-19 20:49:17,072 INFO [train.py:885] (0/2) Epoch 31, batch 9100, loss[loss=0.4071, simple_loss=0.4963, pruned_loss=0.159, over 13151.00 frames. utt_duration=82.09 frames, utt_pad_proportion=0.1078, over 653.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3483, pruned_loss=0.09871, over 2777239.21 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07401, over 47596.51 utterances.], batch size: 653, lr: 1.51e-04
+2022-09-19 20:49:46,213 INFO [train.py:885] (0/2) Epoch 31, batch 9150, loss[loss=0.2004, simple_loss=0.2739, pruned_loss=0.06347, over 13834.00 frames. utt_duration=803.6 frames, utt_pad_proportion=0.06447, over 69.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3473, pruned_loss=0.09839, over 2778568.00 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07348, over 47315.39 utterances.], batch size: 69, lr: 1.51e-04
+2022-09-19 20:50:15,611 INFO [train.py:885] (0/2) Epoch 31, batch 9200, loss[loss=0.1731, simple_loss=0.2574, pruned_loss=0.04443, over 14040.00 frames. utt_duration=712.3 frames, utt_pad_proportion=0.05775, over 79.00 utterances.], tot_loss[loss=0.268, simple_loss=0.343, pruned_loss=0.09655, over 2780422.99 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07059, over 45718.31 utterances.], batch size: 79, lr: 1.51e-04
+2022-09-19 20:50:45,314 INFO [train.py:885] (0/2) Epoch 31, batch 9250, loss[loss=0.2964, simple_loss=0.3697, pruned_loss=0.1115, over 14266.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.04081, over 180.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.3425, pruned_loss=0.09617, over 2778088.47 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07036, over 45718.68 utterances.], batch size: 180, lr: 1.51e-04
+2022-09-19 20:51:15,366 INFO [train.py:885] (0/2) Epoch 31, batch 9300, loss[loss=0.2513, simple_loss=0.3275, pruned_loss=0.08756, over 14329.00 frames. utt_duration=442.4 frames, utt_pad_proportion=0.03627, over 130.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3426, pruned_loss=0.09677, over 2779519.75 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07122, over 45137.69 utterances.], batch size: 130, lr: 1.51e-04
+2022-09-19 20:51:44,767 INFO [train.py:885] (0/2) Epoch 31, batch 9350, loss[loss=0.32, simple_loss=0.4184, pruned_loss=0.1108, over 13567.00 frames. utt_duration=98.34 frames, utt_pad_proportion=0.08097, over 560.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3434, pruned_loss=0.09728, over 2782823.90 frames. utt_duration=246 frames, utt_pad_proportion=0.06994, over 45526.59 utterances.], batch size: 560, lr: 1.51e-04
+2022-09-19 20:52:14,682 INFO [train.py:885] (0/2) Epoch 31, batch 9400, loss[loss=0.165, simple_loss=0.2392, pruned_loss=0.04542, over 13663.00 frames. utt_duration=1095 frames, utt_pad_proportion=0.07778, over 50.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.3427, pruned_loss=0.09645, over 2783120.38 frames. utt_duration=245 frames, utt_pad_proportion=0.06941, over 45714.11 utterances.], batch size: 50, lr: 1.51e-04
+2022-09-19 20:52:15,845 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-388000.pt
+2022-09-19 20:52:45,609 INFO [train.py:885] (0/2) Epoch 31, batch 9450, loss[loss=0.3293, simple_loss=0.3901, pruned_loss=0.1343, over 14256.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04189, over 335.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3454, pruned_loss=0.09782, over 2783603.81 frames. utt_duration=242.5 frames, utt_pad_proportion=0.06894, over 46203.28 utterances.], batch size: 335, lr: 1.51e-04
+2022-09-19 20:53:15,573 INFO [train.py:885] (0/2) Epoch 31, batch 9500, loss[loss=0.3809, simple_loss=0.4778, pruned_loss=0.1419, over 13180.00 frames. utt_duration=82.32 frames, utt_pad_proportion=0.1052, over 653.00 utterances.], tot_loss[loss=0.2664, simple_loss=0.3411, pruned_loss=0.09583, over 2780698.66 frames. utt_duration=251.8 frames, utt_pad_proportion=0.0709, over 44427.09 utterances.], batch size: 653, lr: 1.51e-04
+2022-09-19 20:53:45,462 INFO [train.py:885] (0/2) Epoch 31, batch 9550, loss[loss=0.3909, simple_loss=0.4374, pruned_loss=0.1723, over 14346.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03719, over 283.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3439, pruned_loss=0.09708, over 2781104.07 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07125, over 45339.22 utterances.], batch size: 283, lr: 1.51e-04
+2022-09-19 20:54:14,983 INFO [train.py:885] (0/2) Epoch 31, batch 9600, loss[loss=0.2633, simple_loss=0.3442, pruned_loss=0.09117, over 14311.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.03757, over 130.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3446, pruned_loss=0.09726, over 2779789.28 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07237, over 46171.53 utterances.], batch size: 130, lr: 1.51e-04
+2022-09-19 20:54:44,636 INFO [train.py:885] (0/2) Epoch 31, batch 9650, loss[loss=0.2664, simple_loss=0.3656, pruned_loss=0.08363, over 13991.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05585, over 365.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3489, pruned_loss=0.09936, over 2782937.22 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07166, over 47375.97 utterances.], batch size: 365, lr: 1.51e-04
+2022-09-19 20:55:14,394 INFO [train.py:885] (0/2) Epoch 31, batch 9700, loss[loss=0.4683, simple_loss=0.5586, pruned_loss=0.189, over 12449.00 frames. utt_duration=63.01 frames, utt_pad_proportion=0.1485, over 810.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3456, pruned_loss=0.09778, over 2781013.84 frames. utt_duration=243 frames, utt_pad_proportion=0.07149, over 46050.79 utterances.], batch size: 810, lr: 1.51e-04
+2022-09-19 20:55:50,556 INFO [train.py:885] (0/2) Epoch 31, batch 9750, loss[loss=0.3328, simple_loss=0.3922, pruned_loss=0.1367, over 14356.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03409, over 244.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.345, pruned_loss=0.09736, over 2783627.70 frames. utt_duration=244.1 frames, utt_pad_proportion=0.06946, over 45895.41 utterances.], batch size: 244, lr: 1.51e-04
+2022-09-19 20:56:20,142 INFO [train.py:885] (0/2) Epoch 31, batch 9800, loss[loss=0.251, simple_loss=0.3412, pruned_loss=0.08043, over 14334.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03703, over 210.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.346, pruned_loss=0.09772, over 2785279.55 frames. utt_duration=241.9 frames, utt_pad_proportion=0.06935, over 46329.71 utterances.], batch size: 210, lr: 1.51e-04
+2022-09-19 20:56:49,350 INFO [train.py:885] (0/2) Epoch 31, batch 9850, loss[loss=0.2054, simple_loss=0.2659, pruned_loss=0.07238, over 13818.00 frames. utt_duration=922.6 frames, utt_pad_proportion=0.07273, over 60.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3438, pruned_loss=0.09672, over 2785880.64 frames. utt_duration=245.1 frames, utt_pad_proportion=0.06892, over 45732.82 utterances.], batch size: 60, lr: 1.51e-04
+2022-09-19 20:57:18,229 INFO [train.py:885] (0/2) Epoch 31, batch 9900, loss[loss=0.2207, simple_loss=0.2918, pruned_loss=0.07484, over 14083.00 frames. utt_duration=714.5 frames, utt_pad_proportion=0.05487, over 79.00 utterances.], tot_loss[loss=0.2666, simple_loss=0.3421, pruned_loss=0.09554, over 2782661.02 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07161, over 45840.52 utterances.], batch size: 79, lr: 1.51e-04
+2022-09-19 20:57:47,553 INFO [train.py:885] (0/2) Epoch 31, batch 9950, loss[loss=0.2853, simple_loss=0.3575, pruned_loss=0.1065, over 14370.00 frames. utt_duration=345.6 frames, utt_pad_proportion=0.03741, over 167.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.3425, pruned_loss=0.09569, over 2780775.27 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07089, over 45663.72 utterances.], batch size: 167, lr: 1.51e-04
+2022-09-19 20:58:17,377 INFO [train.py:885] (0/2) Epoch 31, batch 10000, loss[loss=0.3019, simple_loss=0.3678, pruned_loss=0.1179, over 14227.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.0426, over 306.00 utterances.], tot_loss[loss=0.2653, simple_loss=0.34, pruned_loss=0.09533, over 2787512.18 frames. utt_duration=254.5 frames, utt_pad_proportion=0.06661, over 44068.80 utterances.], batch size: 306, lr: 1.51e-04
+2022-09-19 20:58:46,738 INFO [train.py:885] (0/2) Epoch 31, batch 10050, loss[loss=0.3343, simple_loss=0.3873, pruned_loss=0.1406, over 14333.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03723, over 195.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3466, pruned_loss=0.09847, over 2786656.62 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07005, over 46281.02 utterances.], batch size: 195, lr: 1.51e-04
+2022-09-19 20:59:15,985 INFO [train.py:885] (0/2) Epoch 31, batch 10100, loss[loss=0.3907, simple_loss=0.4838, pruned_loss=0.1488, over 13120.00 frames. utt_duration=81.82 frames, utt_pad_proportion=0.1106, over 653.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3448, pruned_loss=0.0978, over 2785720.93 frames. utt_duration=247.8 frames, utt_pad_proportion=0.0688, over 45244.05 utterances.], batch size: 653, lr: 1.51e-04
+2022-09-19 20:59:45,811 INFO [train.py:885] (0/2) Epoch 31, batch 10150, loss[loss=0.3291, simple_loss=0.4262, pruned_loss=0.116, over 13563.00 frames. utt_duration=98.24 frames, utt_pad_proportion=0.08191, over 560.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.3422, pruned_loss=0.09613, over 2785760.95 frames. utt_duration=255.3 frames, utt_pad_proportion=0.06775, over 43899.45 utterances.], batch size: 560, lr: 1.51e-04
+2022-09-19 21:00:15,063 INFO [train.py:885] (0/2) Epoch 31, batch 10200, loss[loss=0.17, simple_loss=0.2377, pruned_loss=0.05116, over 13704.00 frames. utt_duration=1306 frames, utt_pad_proportion=0.08285, over 42.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.344, pruned_loss=0.09694, over 2784679.23 frames. utt_duration=250.8 frames, utt_pad_proportion=0.0677, over 44677.23 utterances.], batch size: 42, lr: 1.51e-04
+2022-09-19 21:00:45,321 INFO [train.py:885] (0/2) Epoch 31, batch 10250, loss[loss=0.2522, simple_loss=0.3399, pruned_loss=0.08225, over 14323.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03805, over 195.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3462, pruned_loss=0.09762, over 2781055.37 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07097, over 46481.23 utterances.], batch size: 195, lr: 1.51e-04
+2022-09-19 21:01:14,667 INFO [train.py:885] (0/2) Epoch 31, batch 10300, loss[loss=0.3946, simple_loss=0.4818, pruned_loss=0.1537, over 13607.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08218, over 477.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.347, pruned_loss=0.09833, over 2780734.75 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07143, over 46873.27 utterances.], batch size: 477, lr: 1.51e-04
+2022-09-19 21:01:44,651 INFO [train.py:885] (0/2) Epoch 31, batch 10350, loss[loss=0.3195, simple_loss=0.3874, pruned_loss=0.1258, over 14226.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.0432, over 306.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3477, pruned_loss=0.09816, over 2780204.70 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07272, over 47695.66 utterances.], batch size: 306, lr: 1.51e-04
+2022-09-19 21:02:13,610 INFO [train.py:885] (0/2) Epoch 31, batch 10400, loss[loss=0.2937, simple_loss=0.3865, pruned_loss=0.1004, over 14035.00 frames. utt_duration=155.2 frames, utt_pad_proportion=0.05381, over 365.00 utterances.], tot_loss[loss=0.2653, simple_loss=0.3406, pruned_loss=0.09504, over 2781252.30 frames. utt_duration=253 frames, utt_pad_proportion=0.07006, over 44230.61 utterances.], batch size: 365, lr: 1.51e-04
+2022-09-19 21:02:43,437 INFO [train.py:885] (0/2) Epoch 31, batch 10450, loss[loss=0.2311, simple_loss=0.3078, pruned_loss=0.07717, over 14292.00 frames. utt_duration=477.6 frames, utt_pad_proportion=0.04093, over 120.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3431, pruned_loss=0.09616, over 2781582.07 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07067, over 45952.11 utterances.], batch size: 120, lr: 1.51e-04
+2022-09-19 21:03:13,020 INFO [train.py:885] (0/2) Epoch 31, batch 10500, loss[loss=0.2249, simple_loss=0.3169, pruned_loss=0.06645, over 14285.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03969, over 180.00 utterances.], tot_loss[loss=0.2647, simple_loss=0.3397, pruned_loss=0.09481, over 2785057.22 frames. utt_duration=255 frames, utt_pad_proportion=0.0683, over 43936.62 utterances.], batch size: 180, lr: 1.51e-04
+2022-09-19 21:03:42,754 INFO [train.py:885] (0/2) Epoch 31, batch 10550, loss[loss=0.3, simple_loss=0.3721, pruned_loss=0.1139, over 14366.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.03511, over 195.00 utterances.], tot_loss[loss=0.2644, simple_loss=0.3395, pruned_loss=0.09466, over 2786232.65 frames. utt_duration=255.6 frames, utt_pad_proportion=0.06748, over 43852.14 utterances.], batch size: 195, lr: 1.51e-04
+2022-09-19 21:04:12,432 INFO [train.py:885] (0/2) Epoch 31, batch 10600, loss[loss=0.2495, simple_loss=0.3404, pruned_loss=0.07935, over 14348.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03632, over 195.00 utterances.], tot_loss[loss=0.2652, simple_loss=0.3407, pruned_loss=0.09485, over 2785056.05 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06919, over 44756.43 utterances.], batch size: 195, lr: 1.51e-04
+2022-09-19 21:04:41,683 INFO [train.py:885] (0/2) Epoch 31, batch 10650, loss[loss=0.2619, simple_loss=0.3225, pruned_loss=0.1007, over 14333.00 frames. utt_duration=479.2 frames, utt_pad_proportion=0.03775, over 120.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.3429, pruned_loss=0.09636, over 2785695.07 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07107, over 45486.17 utterances.], batch size: 120, lr: 1.51e-04
+2022-09-19 21:05:11,713 INFO [train.py:885] (0/2) Epoch 31, batch 10700, loss[loss=0.3388, simple_loss=0.3963, pruned_loss=0.1407, over 14220.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04423, over 335.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3441, pruned_loss=0.09672, over 2783137.95 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07166, over 46024.14 utterances.], batch size: 335, lr: 1.51e-04
+2022-09-19 21:05:41,028 INFO [train.py:885] (0/2) Epoch 31, batch 10750, loss[loss=0.3526, simple_loss=0.3945, pruned_loss=0.1554, over 14307.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.04063, over 154.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3447, pruned_loss=0.09731, over 2781573.98 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07224, over 45822.98 utterances.], batch size: 154, lr: 1.51e-04
+2022-09-19 21:06:10,880 INFO [train.py:885] (0/2) Epoch 31, batch 10800, loss[loss=0.3237, simple_loss=0.3947, pruned_loss=0.1264, over 14356.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03645, over 283.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3437, pruned_loss=0.09694, over 2777938.77 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07473, over 45804.20 utterances.], batch size: 283, lr: 1.51e-04
+2022-09-19 21:06:39,428 INFO [train.py:885] (0/2) Epoch 31, batch 10850, loss[loss=0.2805, simple_loss=0.3852, pruned_loss=0.08792, over 13646.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07937, over 477.00 utterances.], tot_loss[loss=0.267, simple_loss=0.3418, pruned_loss=0.09613, over 2780610.46 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07241, over 44459.45 utterances.], batch size: 477, lr: 1.51e-04
+2022-09-19 21:07:09,477 INFO [train.py:885] (0/2) Epoch 31, batch 10900, loss[loss=0.4396, simple_loss=0.5409, pruned_loss=0.1692, over 12452.00 frames. utt_duration=63.08 frames, utt_pad_proportion=0.1475, over 810.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3435, pruned_loss=0.0964, over 2777000.33 frames. utt_duration=243 frames, utt_pad_proportion=0.0736, over 45987.06 utterances.], batch size: 810, lr: 1.51e-04
+2022-09-19 21:07:38,887 INFO [train.py:885] (0/2) Epoch 31, batch 10950, loss[loss=0.3333, simple_loss=0.3978, pruned_loss=0.1344, over 14217.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04391, over 335.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3444, pruned_loss=0.09696, over 2780374.35 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07208, over 46307.42 utterances.], batch size: 335, lr: 1.51e-04
+2022-09-19 21:08:08,188 INFO [train.py:885] (0/2) Epoch 31, batch 11000, loss[loss=0.2741, simple_loss=0.3819, pruned_loss=0.08319, over 13641.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08041, over 477.00 utterances.], tot_loss[loss=0.2662, simple_loss=0.3424, pruned_loss=0.095, over 2785063.40 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07072, over 46092.00 utterances.], batch size: 477, lr: 1.50e-04
+2022-09-19 21:08:37,817 INFO [train.py:885] (0/2) Epoch 31, batch 11050, loss[loss=0.1467, simple_loss=0.2055, pruned_loss=0.04399, over 12723.00 frames. utt_duration=2037 frames, utt_pad_proportion=0.1203, over 25.00 utterances.], tot_loss[loss=0.2666, simple_loss=0.3422, pruned_loss=0.0955, over 2787653.08 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07004, over 45244.45 utterances.], batch size: 25, lr: 1.50e-04
+2022-09-19 21:09:07,660 INFO [train.py:885] (0/2) Epoch 31, batch 11100, loss[loss=0.216, simple_loss=0.2976, pruned_loss=0.06725, over 14337.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.03787, over 120.00 utterances.], tot_loss[loss=0.2651, simple_loss=0.3403, pruned_loss=0.0949, over 2785662.59 frames. utt_duration=253.3 frames, utt_pad_proportion=0.069, over 44250.13 utterances.], batch size: 120, lr: 1.50e-04
+2022-09-19 21:09:37,329 INFO [train.py:885] (0/2) Epoch 31, batch 11150, loss[loss=0.2651, simple_loss=0.364, pruned_loss=0.08306, over 13960.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05844, over 365.00 utterances.], tot_loss[loss=0.2643, simple_loss=0.3398, pruned_loss=0.09443, over 2780353.58 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07068, over 45357.37 utterances.], batch size: 365, lr: 1.50e-04
+2022-09-19 21:10:07,531 INFO [train.py:885] (0/2) Epoch 31, batch 11200, loss[loss=0.3783, simple_loss=0.4751, pruned_loss=0.1407, over 13130.00 frames. utt_duration=82.03 frames, utt_pad_proportion=0.1084, over 653.00 utterances.], tot_loss[loss=0.2662, simple_loss=0.3417, pruned_loss=0.09534, over 2780574.52 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07232, over 45696.97 utterances.], batch size: 653, lr: 1.50e-04
+2022-09-19 21:10:36,844 INFO [train.py:885] (0/2) Epoch 31, batch 11250, loss[loss=0.309, simple_loss=0.3881, pruned_loss=0.1149, over 14342.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03688, over 195.00 utterances.], tot_loss[loss=0.2637, simple_loss=0.3391, pruned_loss=0.09416, over 2782562.77 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07062, over 44734.87 utterances.], batch size: 195, lr: 1.50e-04
+2022-09-19 21:11:06,235 INFO [train.py:885] (0/2) Epoch 31, batch 11300, loss[loss=0.2993, simple_loss=0.374, pruned_loss=0.1123, over 14247.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.04153, over 306.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.341, pruned_loss=0.09534, over 2784166.64 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07207, over 45290.40 utterances.], batch size: 306, lr: 1.50e-04
+2022-09-19 21:11:36,083 INFO [train.py:885] (0/2) Epoch 31, batch 11350, loss[loss=0.2457, simple_loss=0.3304, pruned_loss=0.08045, over 14360.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03279, over 244.00 utterances.], tot_loss[loss=0.2634, simple_loss=0.3383, pruned_loss=0.09427, over 2788011.55 frames. utt_duration=256.7 frames, utt_pad_proportion=0.07082, over 43698.55 utterances.], batch size: 244, lr: 1.50e-04
+2022-09-19 21:12:05,435 INFO [train.py:885] (0/2) Epoch 31, batch 11400, loss[loss=0.3343, simple_loss=0.4292, pruned_loss=0.1197, over 13642.00 frames. utt_duration=98.76 frames, utt_pad_proportion=0.07699, over 560.00 utterances.], tot_loss[loss=0.266, simple_loss=0.3409, pruned_loss=0.09559, over 2782189.76 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07179, over 44816.63 utterances.], batch size: 560, lr: 1.50e-04
+2022-09-19 21:12:34,666 INFO [train.py:885] (0/2) Epoch 31, batch 11450, loss[loss=0.2425, simple_loss=0.3137, pruned_loss=0.0856, over 14342.00 frames. utt_duration=442.7 frames, utt_pad_proportion=0.03768, over 130.00 utterances.], tot_loss[loss=0.2634, simple_loss=0.339, pruned_loss=0.0939, over 2780758.59 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07212, over 44901.84 utterances.], batch size: 130, lr: 1.50e-04
+2022-09-19 21:13:03,928 INFO [train.py:885] (0/2) Epoch 31, batch 11500, loss[loss=0.3722, simple_loss=0.4258, pruned_loss=0.1593, over 14237.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04251, over 335.00 utterances.], tot_loss[loss=0.2626, simple_loss=0.3378, pruned_loss=0.09368, over 2777796.37 frames. utt_duration=254 frames, utt_pad_proportion=0.07251, over 43992.05 utterances.], batch size: 335, lr: 1.50e-04
+2022-09-19 21:13:34,160 INFO [train.py:885] (0/2) Epoch 31, batch 11550, loss[loss=0.305, simple_loss=0.3794, pruned_loss=0.1153, over 14325.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03868, over 262.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.3402, pruned_loss=0.09569, over 2784201.77 frames. utt_duration=255.9 frames, utt_pad_proportion=0.06949, over 43779.64 utterances.], batch size: 262, lr: 1.50e-04
+2022-09-19 21:14:03,433 INFO [train.py:885] (0/2) Epoch 31, batch 11600, loss[loss=0.2658, simple_loss=0.3448, pruned_loss=0.09344, over 14243.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04234, over 225.00 utterances.], tot_loss[loss=0.2653, simple_loss=0.34, pruned_loss=0.09531, over 2779245.01 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06991, over 44658.15 utterances.], batch size: 225, lr: 1.50e-04
+2022-09-19 21:14:33,127 INFO [train.py:885] (0/2) Epoch 31, batch 11650, loss[loss=0.1927, simple_loss=0.2759, pruned_loss=0.05472, over 14073.00 frames. utt_duration=575.6 frames, utt_pad_proportion=0.05329, over 98.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.343, pruned_loss=0.097, over 2779668.23 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07152, over 45616.17 utterances.], batch size: 98, lr: 1.50e-04
+2022-09-19 21:15:02,210 INFO [train.py:885] (0/2) Epoch 31, batch 11700, loss[loss=0.1981, simple_loss=0.2826, pruned_loss=0.05682, over 14062.00 frames. utt_duration=713.4 frames, utt_pad_proportion=0.05514, over 79.00 utterances.], tot_loss[loss=0.2655, simple_loss=0.3405, pruned_loss=0.09523, over 2781787.65 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07032, over 44516.35 utterances.], batch size: 79, lr: 1.50e-04
+2022-09-19 21:15:32,068 INFO [train.py:885] (0/2) Epoch 31, batch 11750, loss[loss=0.2074, simple_loss=0.2487, pruned_loss=0.08299, over 13276.00 frames. utt_duration=1611 frames, utt_pad_proportion=0.106, over 33.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3457, pruned_loss=0.09704, over 2779563.10 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07312, over 47665.52 utterances.], batch size: 33, lr: 1.50e-04
+2022-09-19 21:16:01,354 INFO [train.py:885] (0/2) Epoch 31, batch 11800, loss[loss=0.2362, simple_loss=0.306, pruned_loss=0.08319, over 14168.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.04527, over 109.00 utterances.], tot_loss[loss=0.266, simple_loss=0.3419, pruned_loss=0.09508, over 2778344.48 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07254, over 46093.03 utterances.], batch size: 109, lr: 1.50e-04
+2022-09-19 21:16:31,155 INFO [train.py:885] (0/2) Epoch 31, batch 11850, loss[loss=0.2151, simple_loss=0.2959, pruned_loss=0.06715, over 14165.00 frames. utt_duration=521.1 frames, utt_pad_proportion=0.0456, over 109.00 utterances.], tot_loss[loss=0.265, simple_loss=0.3406, pruned_loss=0.09467, over 2776186.30 frames. utt_duration=243.4 frames, utt_pad_proportion=0.0725, over 45896.27 utterances.], batch size: 109, lr: 1.50e-04
+2022-09-19 21:17:00,388 INFO [train.py:885] (0/2) Epoch 31, batch 11900, loss[loss=0.1621, simple_loss=0.2442, pruned_loss=0.04, over 12160.00 frames. utt_duration=2028 frames, utt_pad_proportion=0.1809, over 24.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.345, pruned_loss=0.09723, over 2776959.33 frames. utt_duration=238 frames, utt_pad_proportion=0.07324, over 46958.08 utterances.], batch size: 24, lr: 1.50e-04
+2022-09-19 21:17:30,830 INFO [train.py:885] (0/2) Epoch 31, batch 11950, loss[loss=0.276, simple_loss=0.3772, pruned_loss=0.08738, over 13837.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06946, over 412.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3442, pruned_loss=0.09633, over 2776283.02 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07392, over 47468.79 utterances.], batch size: 412, lr: 1.50e-04
+2022-09-19 21:17:59,850 INFO [train.py:885] (0/2) Epoch 31, batch 12000, loss[loss=0.3192, simple_loss=0.4342, pruned_loss=0.1021, over 13131.00 frames. utt_duration=81.93 frames, utt_pad_proportion=0.1095, over 653.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.3422, pruned_loss=0.09584, over 2777756.68 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07232, over 46276.76 utterances.], batch size: 653, lr: 1.50e-04
+2022-09-19 21:17:59,853 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 21:18:04,547 INFO [train.py:914] (0/2) Epoch 31, validation: loss=0.1912, simple_loss=0.2691, pruned_loss=0.05664, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 21:18:33,770 INFO [train.py:885] (0/2) Epoch 31, batch 12050, loss[loss=0.2748, simple_loss=0.342, pruned_loss=0.1038, over 14282.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.04247, over 154.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3432, pruned_loss=0.09651, over 2782750.82 frames. utt_duration=243 frames, utt_pad_proportion=0.06976, over 46089.44 utterances.], batch size: 154, lr: 1.50e-04
+2022-09-19 21:19:03,855 INFO [train.py:885] (0/2) Epoch 31, batch 12100, loss[loss=0.3865, simple_loss=0.4325, pruned_loss=0.1702, over 14243.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04251, over 335.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3472, pruned_loss=0.09763, over 2781104.98 frames. utt_duration=231.6 frames, utt_pad_proportion=0.07117, over 48345.32 utterances.], batch size: 335, lr: 1.50e-04
+2022-09-19 21:19:33,247 INFO [train.py:885] (0/2) Epoch 31, batch 12150, loss[loss=0.1965, simple_loss=0.2676, pruned_loss=0.06266, over 14025.00 frames. utt_duration=711.6 frames, utt_pad_proportion=0.05872, over 79.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3464, pruned_loss=0.09754, over 2780762.47 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07127, over 47792.02 utterances.], batch size: 79, lr: 1.50e-04
+2022-09-19 21:20:02,934 INFO [train.py:885] (0/2) Epoch 31, batch 12200, loss[loss=0.2998, simple_loss=0.4096, pruned_loss=0.09503, over 13616.00 frames. utt_duration=98.62 frames, utt_pad_proportion=0.07835, over 560.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3479, pruned_loss=0.09801, over 2776539.40 frames. utt_duration=228.4 frames, utt_pad_proportion=0.07345, over 48939.82 utterances.], batch size: 560, lr: 1.50e-04
+2022-09-19 21:20:36,902 INFO [train.py:885] (0/2) Epoch 31, batch 12250, loss[loss=0.3459, simple_loss=0.4065, pruned_loss=0.1427, over 14240.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04294, over 335.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3463, pruned_loss=0.09723, over 2784599.33 frames. utt_duration=235.8 frames, utt_pad_proportion=0.06984, over 47539.29 utterances.], batch size: 335, lr: 1.50e-04
+2022-09-19 21:21:07,270 INFO [train.py:885] (0/2) Epoch 31, batch 12300, loss[loss=0.2768, simple_loss=0.3727, pruned_loss=0.09045, over 13984.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05685, over 365.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3455, pruned_loss=0.09716, over 2778863.09 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07189, over 47259.56 utterances.], batch size: 365, lr: 1.50e-04
+2022-09-19 21:21:37,694 INFO [train.py:885] (0/2) Epoch 31, batch 12350, loss[loss=0.2433, simple_loss=0.3095, pruned_loss=0.08856, over 14187.00 frames. utt_duration=580.3 frames, utt_pad_proportion=0.04717, over 98.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3501, pruned_loss=0.09988, over 2775564.49 frames. utt_duration=228 frames, utt_pad_proportion=0.07514, over 49014.75 utterances.], batch size: 98, lr: 1.50e-04
+2022-09-19 21:22:07,588 INFO [train.py:885] (0/2) Epoch 31, batch 12400, loss[loss=0.3608, simple_loss=0.4159, pruned_loss=0.1529, over 14202.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04496, over 335.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3474, pruned_loss=0.09864, over 2778886.43 frames. utt_duration=233 frames, utt_pad_proportion=0.07274, over 48010.18 utterances.], batch size: 335, lr: 1.50e-04
+2022-09-19 21:22:36,792 INFO [train.py:885] (0/2) Epoch 31, batch 12450, loss[loss=0.1898, simple_loss=0.2624, pruned_loss=0.05858, over 13774.00 frames. utt_duration=799.9 frames, utt_pad_proportion=0.06772, over 69.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3485, pruned_loss=0.0987, over 2777571.44 frames. utt_duration=229.1 frames, utt_pad_proportion=0.07439, over 48816.93 utterances.], batch size: 69, lr: 1.50e-04
+2022-09-19 21:23:06,341 INFO [train.py:885] (0/2) Epoch 31, batch 12500, loss[loss=0.363, simple_loss=0.467, pruned_loss=0.1295, over 13184.00 frames. utt_duration=82.38 frames, utt_pad_proportion=0.1046, over 653.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3479, pruned_loss=0.09934, over 2779448.55 frames. utt_duration=234.3 frames, utt_pad_proportion=0.0729, over 47760.54 utterances.], batch size: 653, lr: 1.50e-04
+2022-09-19 21:23:35,694 INFO [train.py:885] (0/2) Epoch 31, batch 12550, loss[loss=0.3254, simple_loss=0.3893, pruned_loss=0.1308, over 14309.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03889, over 283.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3481, pruned_loss=0.09969, over 2784248.17 frames. utt_duration=236.2 frames, utt_pad_proportion=0.0711, over 47438.82 utterances.], batch size: 283, lr: 1.50e-04
+2022-09-19 21:24:03,515 INFO [train.py:885] (0/2) Epoch 31, batch 12600, loss[loss=0.4853, simple_loss=0.5762, pruned_loss=0.1972, over 12499.00 frames. utt_duration=63.3 frames, utt_pad_proportion=0.1446, over 811.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3477, pruned_loss=0.09995, over 2782067.08 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07056, over 46624.40 utterances.], batch size: 811, lr: 1.50e-04
+2022-09-19 21:24:14,375 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/epoch-31.pt
+2022-09-19 21:24:22,594 INFO [train.py:885] (0/2) Epoch 32, batch 0, loss[loss=0.4531, simple_loss=0.5667, pruned_loss=0.1697, over 12509.00 frames. utt_duration=63.36 frames, utt_pad_proportion=0.1438, over 810.00 utterances.], tot_loss[loss=0.4531, simple_loss=0.5667, pruned_loss=0.1697, over 12509.00 frames. utt_duration=63.36 frames, utt_pad_proportion=0.1438, over 810.00 utterances.], batch size: 810, lr: 1.48e-04
+2022-09-19 21:24:52,428 INFO [train.py:885] (0/2) Epoch 32, batch 50, loss[loss=0.3053, simple_loss=0.374, pruned_loss=0.1183, over 14221.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04362, over 306.00 utterances.], tot_loss[loss=0.2991, simple_loss=0.3698, pruned_loss=0.1142, over 627844.91 frames. utt_duration=211.5 frames, utt_pad_proportion=0.07749, over 11957.46 utterances.], batch size: 306, lr: 1.48e-04
+2022-09-19 21:25:21,602 INFO [train.py:885] (0/2) Epoch 32, batch 100, loss[loss=0.3129, simple_loss=0.4103, pruned_loss=0.1078, over 13689.00 frames. utt_duration=116.3 frames, utt_pad_proportion=0.07705, over 477.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3532, pruned_loss=0.1036, over 1104944.63 frames. utt_duration=229.8 frames, utt_pad_proportion=0.07451, over 19353.52 utterances.], batch size: 477, lr: 1.48e-04
+2022-09-19 21:25:51,390 INFO [train.py:885] (0/2) Epoch 32, batch 150, loss[loss=0.155, simple_loss=0.2257, pruned_loss=0.04216, over 13499.00 frames. utt_duration=1319 frames, utt_pad_proportion=0.07796, over 41.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3447, pruned_loss=0.09925, over 1468836.08 frames. utt_duration=241 frames, utt_pad_proportion=0.07613, over 24527.20 utterances.], batch size: 41, lr: 1.48e-04
+2022-09-19 21:26:20,448 INFO [train.py:885] (0/2) Epoch 32, batch 200, loss[loss=0.3278, simple_loss=0.4238, pruned_loss=0.1158, over 13646.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07996, over 477.00 utterances.], tot_loss[loss=0.2655, simple_loss=0.3387, pruned_loss=0.09612, over 1761434.48 frames. utt_duration=256.2 frames, utt_pad_proportion=0.0706, over 27660.98 utterances.], batch size: 477, lr: 1.48e-04
+2022-09-19 21:26:50,401 INFO [train.py:885] (0/2) Epoch 32, batch 250, loss[loss=0.2086, simple_loss=0.2917, pruned_loss=0.06274, over 13554.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08129, over 50.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.3405, pruned_loss=0.09648, over 1987945.17 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07132, over 31890.32 utterances.], batch size: 50, lr: 1.48e-04
+2022-09-19 21:27:20,450 INFO [train.py:885] (0/2) Epoch 32, batch 300, loss[loss=0.1814, simple_loss=0.2598, pruned_loss=0.05155, over 13797.00 frames. utt_duration=801.6 frames, utt_pad_proportion=0.06142, over 69.00 utterances.], tot_loss[loss=0.2651, simple_loss=0.3402, pruned_loss=0.09503, over 2162226.81 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07166, over 35360.86 utterances.], batch size: 69, lr: 1.48e-04
+2022-09-19 21:27:49,531 INFO [train.py:885] (0/2) Epoch 32, batch 350, loss[loss=0.2289, simple_loss=0.3039, pruned_loss=0.07691, over 14215.00 frames. utt_duration=523.2 frames, utt_pad_proportion=0.04174, over 109.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3446, pruned_loss=0.09785, over 2297905.99 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07218, over 37997.85 utterances.], batch size: 109, lr: 1.48e-04
+2022-09-19 21:28:19,260 INFO [train.py:885] (0/2) Epoch 32, batch 400, loss[loss=0.3336, simple_loss=0.3824, pruned_loss=0.1424, over 14274.00 frames. utt_duration=440.8 frames, utt_pad_proportion=0.04181, over 130.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3437, pruned_loss=0.09652, over 2405055.38 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07297, over 40245.85 utterances.], batch size: 130, lr: 1.48e-04
+2022-09-19 21:28:48,973 INFO [train.py:885] (0/2) Epoch 32, batch 450, loss[loss=0.2438, simple_loss=0.3191, pruned_loss=0.08428, over 14347.00 frames. utt_duration=442.7 frames, utt_pad_proportion=0.03544, over 130.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3432, pruned_loss=0.09593, over 2486210.12 frames. utt_duration=239.3 frames, utt_pad_proportion=0.0709, over 41817.01 utterances.], batch size: 130, lr: 1.48e-04
+2022-09-19 21:29:19,020 INFO [train.py:885] (0/2) Epoch 32, batch 500, loss[loss=0.3841, simple_loss=0.4787, pruned_loss=0.1448, over 13200.00 frames. utt_duration=82.36 frames, utt_pad_proportion=0.1048, over 653.00 utterances.], tot_loss[loss=0.2608, simple_loss=0.3366, pruned_loss=0.09251, over 2543719.08 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07166, over 41394.96 utterances.], batch size: 653, lr: 1.48e-04
+2022-09-19 21:29:48,466 INFO [train.py:885] (0/2) Epoch 32, batch 550, loss[loss=0.422, simple_loss=0.5069, pruned_loss=0.1686, over 13182.00 frames. utt_duration=82.26 frames, utt_pad_proportion=0.1058, over 653.00 utterances.], tot_loss[loss=0.2647, simple_loss=0.3406, pruned_loss=0.09441, over 2593533.76 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07286, over 42824.89 utterances.], batch size: 653, lr: 1.48e-04
+2022-09-19 21:30:18,458 INFO [train.py:885] (0/2) Epoch 32, batch 600, loss[loss=0.2683, simple_loss=0.3506, pruned_loss=0.09304, over 14332.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03805, over 262.00 utterances.], tot_loss[loss=0.2666, simple_loss=0.342, pruned_loss=0.09559, over 2636248.85 frames. utt_duration=244.1 frames, utt_pad_proportion=0.0723, over 43460.82 utterances.], batch size: 262, lr: 1.48e-04
+2022-09-19 21:30:47,733 INFO [train.py:885] (0/2) Epoch 32, batch 650, loss[loss=0.3341, simple_loss=0.4209, pruned_loss=0.1237, over 13642.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08, over 477.00 utterances.], tot_loss[loss=0.2666, simple_loss=0.3417, pruned_loss=0.09579, over 2665865.63 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07113, over 43569.99 utterances.], batch size: 477, lr: 1.48e-04
+2022-09-19 21:31:17,741 INFO [train.py:885] (0/2) Epoch 32, batch 700, loss[loss=0.2669, simple_loss=0.3452, pruned_loss=0.09425, over 14339.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03727, over 195.00 utterances.], tot_loss[loss=0.2656, simple_loss=0.3405, pruned_loss=0.09534, over 2692837.80 frames. utt_duration=253.2 frames, utt_pad_proportion=0.06926, over 42787.08 utterances.], batch size: 195, lr: 1.48e-04
+2022-09-19 21:31:47,110 INFO [train.py:885] (0/2) Epoch 32, batch 750, loss[loss=0.1663, simple_loss=0.2498, pruned_loss=0.04141, over 12925.00 frames. utt_duration=2070 frames, utt_pad_proportion=0.1064, over 25.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3432, pruned_loss=0.09624, over 2712588.29 frames. utt_duration=245.9 frames, utt_pad_proportion=0.0693, over 44395.71 utterances.], batch size: 25, lr: 1.48e-04
+2022-09-19 21:32:06,423 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-392000.pt
+2022-09-19 21:32:18,633 INFO [train.py:885] (0/2) Epoch 32, batch 800, loss[loss=0.3115, simple_loss=0.3817, pruned_loss=0.1206, over 14215.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04385, over 306.00 utterances.], tot_loss[loss=0.2664, simple_loss=0.3418, pruned_loss=0.09552, over 2723678.70 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07145, over 44727.74 utterances.], batch size: 306, lr: 1.48e-04
+2022-09-19 21:32:48,173 INFO [train.py:885] (0/2) Epoch 32, batch 850, loss[loss=0.2316, simple_loss=0.316, pruned_loss=0.07365, over 14272.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.04024, over 130.00 utterances.], tot_loss[loss=0.2651, simple_loss=0.3394, pruned_loss=0.09536, over 2736044.54 frames. utt_duration=254.6 frames, utt_pad_proportion=0.07029, over 43235.81 utterances.], batch size: 130, lr: 1.48e-04
+2022-09-19 21:33:19,725 INFO [train.py:885] (0/2) Epoch 32, batch 900, loss[loss=0.3061, simple_loss=0.409, pruned_loss=0.1017, over 13596.00 frames. utt_duration=98.59 frames, utt_pad_proportion=0.07862, over 560.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.3406, pruned_loss=0.09553, over 2748999.68 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06911, over 44293.09 utterances.], batch size: 560, lr: 1.48e-04
+2022-09-19 21:33:49,834 INFO [train.py:885] (0/2) Epoch 32, batch 950, loss[loss=0.2954, simple_loss=0.3997, pruned_loss=0.0955, over 13624.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08181, over 477.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3448, pruned_loss=0.09783, over 2752368.25 frames. utt_duration=244 frames, utt_pad_proportion=0.07159, over 45390.30 utterances.], batch size: 477, lr: 1.48e-04
+2022-09-19 21:34:20,649 INFO [train.py:885] (0/2) Epoch 32, batch 1000, loss[loss=0.2265, simple_loss=0.3104, pruned_loss=0.07134, over 14328.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.03943, over 154.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3432, pruned_loss=0.09636, over 2757887.22 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07005, over 45048.59 utterances.], batch size: 154, lr: 1.48e-04
+2022-09-19 21:34:54,197 INFO [train.py:885] (0/2) Epoch 32, batch 1050, loss[loss=0.2862, simple_loss=0.3615, pruned_loss=0.1055, over 14353.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03637, over 210.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.343, pruned_loss=0.09594, over 2763203.66 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07096, over 45215.91 utterances.], batch size: 210, lr: 1.48e-04
+2022-09-19 21:35:28,257 INFO [train.py:885] (0/2) Epoch 32, batch 1100, loss[loss=0.2629, simple_loss=0.3437, pruned_loss=0.09106, over 14327.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03785, over 283.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3434, pruned_loss=0.09511, over 2765255.05 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07277, over 46073.10 utterances.], batch size: 283, lr: 1.48e-04
+2022-09-19 21:35:58,692 INFO [train.py:885] (0/2) Epoch 32, batch 1150, loss[loss=0.3109, simple_loss=0.3723, pruned_loss=0.1247, over 14333.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03675, over 195.00 utterances.], tot_loss[loss=0.2659, simple_loss=0.3425, pruned_loss=0.09463, over 2768195.83 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07239, over 46148.63 utterances.], batch size: 195, lr: 1.48e-04
+2022-09-19 21:36:28,823 INFO [train.py:885] (0/2) Epoch 32, batch 1200, loss[loss=0.3201, simple_loss=0.3858, pruned_loss=0.1272, over 14360.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03617, over 283.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.3421, pruned_loss=0.09562, over 2777997.96 frames. utt_duration=251.2 frames, utt_pad_proportion=0.06882, over 44495.82 utterances.], batch size: 283, lr: 1.48e-04
+2022-09-19 21:36:58,829 INFO [train.py:885] (0/2) Epoch 32, batch 1250, loss[loss=0.1962, simple_loss=0.2747, pruned_loss=0.0588, over 14185.00 frames. utt_duration=638.8 frames, utt_pad_proportion=0.04796, over 89.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3448, pruned_loss=0.09655, over 2772367.24 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07235, over 46246.13 utterances.], batch size: 89, lr: 1.48e-04
+2022-09-19 21:37:28,885 INFO [train.py:885] (0/2) Epoch 32, batch 1300, loss[loss=0.1631, simple_loss=0.2315, pruned_loss=0.04736, over 12579.00 frames. utt_duration=2098 frames, utt_pad_proportion=0.156, over 24.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3434, pruned_loss=0.09598, over 2778225.06 frames. utt_duration=243.9 frames, utt_pad_proportion=0.06991, over 45847.10 utterances.], batch size: 24, lr: 1.48e-04
+2022-09-19 21:37:59,445 INFO [train.py:885] (0/2) Epoch 32, batch 1350, loss[loss=0.2629, simple_loss=0.3325, pruned_loss=0.09661, over 14278.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.04258, over 154.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3436, pruned_loss=0.09608, over 2781406.53 frames. utt_duration=244 frames, utt_pad_proportion=0.07039, over 45882.89 utterances.], batch size: 154, lr: 1.48e-04
+2022-09-19 21:38:28,920 INFO [train.py:885] (0/2) Epoch 32, batch 1400, loss[loss=0.2883, simple_loss=0.3663, pruned_loss=0.1052, over 14356.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03357, over 244.00 utterances.], tot_loss[loss=0.2652, simple_loss=0.341, pruned_loss=0.09472, over 2779946.09 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07059, over 45195.45 utterances.], batch size: 244, lr: 1.48e-04
+2022-09-19 21:38:59,358 INFO [train.py:885] (0/2) Epoch 32, batch 1450, loss[loss=0.1643, simple_loss=0.2225, pruned_loss=0.053, over 12392.00 frames. utt_duration=2067 frames, utt_pad_proportion=0.1477, over 24.00 utterances.], tot_loss[loss=0.2641, simple_loss=0.3397, pruned_loss=0.09422, over 2780691.10 frames. utt_duration=249 frames, utt_pad_proportion=0.07003, over 44936.19 utterances.], batch size: 24, lr: 1.48e-04
+2022-09-19 21:39:30,115 INFO [train.py:885] (0/2) Epoch 32, batch 1500, loss[loss=0.1733, simple_loss=0.2489, pruned_loss=0.04881, over 13528.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08788, over 50.00 utterances.], tot_loss[loss=0.265, simple_loss=0.3409, pruned_loss=0.0946, over 2779880.44 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07086, over 45584.06 utterances.], batch size: 50, lr: 1.48e-04
+2022-09-19 21:39:59,308 INFO [train.py:885] (0/2) Epoch 32, batch 1550, loss[loss=0.157, simple_loss=0.2402, pruned_loss=0.03687, over 13717.00 frames. utt_duration=1308 frames, utt_pad_proportion=0.07767, over 42.00 utterances.], tot_loss[loss=0.2615, simple_loss=0.3369, pruned_loss=0.09311, over 2780708.51 frames. utt_duration=256.9 frames, utt_pad_proportion=0.06896, over 43541.71 utterances.], batch size: 42, lr: 1.48e-04
+2022-09-19 21:40:30,217 INFO [train.py:885] (0/2) Epoch 32, batch 1600, loss[loss=0.2357, simple_loss=0.3298, pruned_loss=0.07076, over 14356.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03587, over 210.00 utterances.], tot_loss[loss=0.2607, simple_loss=0.336, pruned_loss=0.09274, over 2781029.44 frames. utt_duration=261.7 frames, utt_pad_proportion=0.06798, over 42748.58 utterances.], batch size: 210, lr: 1.48e-04
+2022-09-19 21:40:59,904 INFO [train.py:885] (0/2) Epoch 32, batch 1650, loss[loss=0.2181, simple_loss=0.2944, pruned_loss=0.07092, over 14327.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.03842, over 120.00 utterances.], tot_loss[loss=0.2622, simple_loss=0.3374, pruned_loss=0.09352, over 2784800.98 frames. utt_duration=262.1 frames, utt_pad_proportion=0.06646, over 42738.44 utterances.], batch size: 120, lr: 1.48e-04
+2022-09-19 21:41:30,650 INFO [train.py:885] (0/2) Epoch 32, batch 1700, loss[loss=0.252, simple_loss=0.3371, pruned_loss=0.08347, over 14336.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.0394, over 167.00 utterances.], tot_loss[loss=0.2656, simple_loss=0.3406, pruned_loss=0.09535, over 2783157.40 frames. utt_duration=251.2 frames, utt_pad_proportion=0.06941, over 44574.91 utterances.], batch size: 167, lr: 1.48e-04
+2022-09-19 21:42:00,218 INFO [train.py:885] (0/2) Epoch 32, batch 1750, loss[loss=0.2892, simple_loss=0.3747, pruned_loss=0.1019, over 14022.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05648, over 366.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3425, pruned_loss=0.09668, over 2785134.86 frames. utt_duration=248 frames, utt_pad_proportion=0.06962, over 45192.77 utterances.], batch size: 366, lr: 1.48e-04
+2022-09-19 21:42:29,589 INFO [train.py:885] (0/2) Epoch 32, batch 1800, loss[loss=0.3216, simple_loss=0.4157, pruned_loss=0.1137, over 13679.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07777, over 477.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3428, pruned_loss=0.09685, over 2782579.59 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07032, over 44952.06 utterances.], batch size: 477, lr: 1.47e-04
+2022-09-19 21:42:59,926 INFO [train.py:885] (0/2) Epoch 32, batch 1850, loss[loss=0.2633, simple_loss=0.3357, pruned_loss=0.09544, over 14367.00 frames. utt_duration=345.5 frames, utt_pad_proportion=0.03748, over 167.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3442, pruned_loss=0.09761, over 2780984.21 frames. utt_duration=245 frames, utt_pad_proportion=0.06945, over 45673.78 utterances.], batch size: 167, lr: 1.47e-04
+2022-09-19 21:43:31,276 INFO [train.py:885] (0/2) Epoch 32, batch 1900, loss[loss=0.4676, simple_loss=0.5632, pruned_loss=0.186, over 12532.00 frames. utt_duration=63.35 frames, utt_pad_proportion=0.1439, over 810.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3453, pruned_loss=0.09735, over 2783956.80 frames. utt_duration=241.4 frames, utt_pad_proportion=0.0697, over 46404.55 utterances.], batch size: 810, lr: 1.47e-04
+2022-09-19 21:44:01,384 INFO [train.py:885] (0/2) Epoch 32, batch 1950, loss[loss=0.2686, simple_loss=0.3373, pruned_loss=0.09998, over 14229.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04466, over 141.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3472, pruned_loss=0.09822, over 2782971.48 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07125, over 47311.89 utterances.], batch size: 141, lr: 1.47e-04
+2022-09-19 21:44:31,455 INFO [train.py:885] (0/2) Epoch 32, batch 2000, loss[loss=0.186, simple_loss=0.234, pruned_loss=0.06903, over 13554.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.0875, over 50.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3468, pruned_loss=0.09799, over 2778772.53 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07168, over 47528.71 utterances.], batch size: 50, lr: 1.47e-04
+2022-09-19 21:45:01,247 INFO [train.py:885] (0/2) Epoch 32, batch 2050, loss[loss=0.2266, simple_loss=0.3131, pruned_loss=0.07001, over 14273.00 frames. utt_duration=440.7 frames, utt_pad_proportion=0.03995, over 130.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3468, pruned_loss=0.0985, over 2773340.34 frames. utt_duration=232 frames, utt_pad_proportion=0.07263, over 48114.82 utterances.], batch size: 130, lr: 1.47e-04
+2022-09-19 21:45:30,712 INFO [train.py:885] (0/2) Epoch 32, batch 2100, loss[loss=0.215, simple_loss=0.2976, pruned_loss=0.06615, over 14228.00 frames. utt_duration=641.1 frames, utt_pad_proportion=0.04459, over 89.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3474, pruned_loss=0.09803, over 2774878.65 frames. utt_duration=232.1 frames, utt_pad_proportion=0.07228, over 48122.03 utterances.], batch size: 89, lr: 1.47e-04
+2022-09-19 21:46:00,761 INFO [train.py:885] (0/2) Epoch 32, batch 2150, loss[loss=0.5203, simple_loss=0.6039, pruned_loss=0.2184, over 12447.00 frames. utt_duration=63.01 frames, utt_pad_proportion=0.1485, over 810.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3432, pruned_loss=0.09667, over 2775364.76 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07261, over 46654.89 utterances.], batch size: 810, lr: 1.47e-04
+2022-09-19 21:46:31,255 INFO [train.py:885] (0/2) Epoch 32, batch 2200, loss[loss=0.1754, simple_loss=0.2213, pruned_loss=0.06477, over 12292.00 frames. utt_duration=2050 frames, utt_pad_proportion=0.1764, over 24.00 utterances.], tot_loss[loss=0.2676, simple_loss=0.3427, pruned_loss=0.09619, over 2773682.64 frames. utt_duration=241 frames, utt_pad_proportion=0.07315, over 46311.41 utterances.], batch size: 24, lr: 1.47e-04
+2022-09-19 21:47:00,635 INFO [train.py:885] (0/2) Epoch 32, batch 2250, loss[loss=0.2981, simple_loss=0.3967, pruned_loss=0.0998, over 13784.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07129, over 411.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3429, pruned_loss=0.09647, over 2778926.95 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07189, over 45863.54 utterances.], batch size: 411, lr: 1.47e-04
+2022-09-19 21:47:30,651 INFO [train.py:885] (0/2) Epoch 32, batch 2300, loss[loss=0.1976, simple_loss=0.2593, pruned_loss=0.0679, over 13931.00 frames. utt_duration=706.8 frames, utt_pad_proportion=0.06389, over 79.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.3436, pruned_loss=0.09604, over 2786399.78 frames. utt_duration=242 frames, utt_pad_proportion=0.06897, over 46345.00 utterances.], batch size: 79, lr: 1.47e-04
+2022-09-19 21:48:01,401 INFO [train.py:885] (0/2) Epoch 32, batch 2350, loss[loss=0.2202, simple_loss=0.2944, pruned_loss=0.07298, over 13838.00 frames. utt_duration=923.9 frames, utt_pad_proportion=0.07052, over 60.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3421, pruned_loss=0.09579, over 2785274.18 frames. utt_duration=248.5 frames, utt_pad_proportion=0.0696, over 45099.47 utterances.], batch size: 60, lr: 1.47e-04
+2022-09-19 21:48:31,306 INFO [train.py:885] (0/2) Epoch 32, batch 2400, loss[loss=0.2334, simple_loss=0.3242, pruned_loss=0.07129, over 14327.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.03931, over 154.00 utterances.], tot_loss[loss=0.2661, simple_loss=0.3418, pruned_loss=0.0952, over 2787871.22 frames. utt_duration=249.3 frames, utt_pad_proportion=0.06802, over 44991.42 utterances.], batch size: 154, lr: 1.47e-04
+2022-09-19 21:49:02,356 INFO [train.py:885] (0/2) Epoch 32, batch 2450, loss[loss=0.2259, simple_loss=0.3028, pruned_loss=0.07447, over 14217.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.04769, over 141.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3473, pruned_loss=0.0973, over 2783176.67 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07125, over 47693.76 utterances.], batch size: 141, lr: 1.47e-04
+2022-09-19 21:49:33,006 INFO [train.py:885] (0/2) Epoch 32, batch 2500, loss[loss=0.1776, simple_loss=0.2507, pruned_loss=0.05226, over 14001.00 frames. utt_duration=710.4 frames, utt_pad_proportion=0.05913, over 79.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3445, pruned_loss=0.09618, over 2785414.56 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07097, over 46690.04 utterances.], batch size: 79, lr: 1.47e-04
+2022-09-19 21:50:02,981 INFO [train.py:885] (0/2) Epoch 32, batch 2550, loss[loss=0.3263, simple_loss=0.4198, pruned_loss=0.1163, over 13655.00 frames. utt_duration=98.94 frames, utt_pad_proportion=0.07532, over 560.00 utterances.], tot_loss[loss=0.2664, simple_loss=0.3418, pruned_loss=0.09548, over 2784283.16 frames. utt_duration=249 frames, utt_pad_proportion=0.06964, over 44989.13 utterances.], batch size: 560, lr: 1.47e-04
+2022-09-19 21:50:33,747 INFO [train.py:885] (0/2) Epoch 32, batch 2600, loss[loss=0.206, simple_loss=0.2856, pruned_loss=0.06323, over 14025.00 frames. utt_duration=711.5 frames, utt_pad_proportion=0.05884, over 79.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3449, pruned_loss=0.09652, over 2784135.37 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07024, over 46622.39 utterances.], batch size: 79, lr: 1.47e-04
+2022-09-19 21:51:03,974 INFO [train.py:885] (0/2) Epoch 32, batch 2650, loss[loss=0.3698, simple_loss=0.4159, pruned_loss=0.1619, over 14308.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03919, over 283.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.3426, pruned_loss=0.09652, over 2783464.26 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06872, over 45228.62 utterances.], batch size: 283, lr: 1.47e-04
+2022-09-19 21:51:33,543 INFO [train.py:885] (0/2) Epoch 32, batch 2700, loss[loss=0.3785, simple_loss=0.4318, pruned_loss=0.1626, over 14300.00 frames. utt_duration=255.7 frames, utt_pad_proportion=0.03881, over 225.00 utterances.], tot_loss[loss=0.2664, simple_loss=0.3404, pruned_loss=0.09616, over 2784848.56 frames. utt_duration=256.6 frames, utt_pad_proportion=0.06849, over 43668.48 utterances.], batch size: 225, lr: 1.47e-04
+2022-09-19 21:52:03,685 INFO [train.py:885] (0/2) Epoch 32, batch 2750, loss[loss=0.1703, simple_loss=0.2431, pruned_loss=0.04875, over 13493.00 frames. utt_duration=1318 frames, utt_pad_proportion=0.08051, over 41.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.3414, pruned_loss=0.09607, over 2784331.21 frames. utt_duration=254.6 frames, utt_pad_proportion=0.06771, over 43999.14 utterances.], batch size: 41, lr: 1.47e-04
+2022-09-19 21:52:34,547 INFO [train.py:885] (0/2) Epoch 32, batch 2800, loss[loss=0.2669, simple_loss=0.3404, pruned_loss=0.09676, over 14291.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.04195, over 154.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3438, pruned_loss=0.09713, over 2784306.92 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07081, over 45588.45 utterances.], batch size: 154, lr: 1.47e-04
+2022-09-19 21:53:04,734 INFO [train.py:885] (0/2) Epoch 32, batch 2850, loss[loss=0.2897, simple_loss=0.3621, pruned_loss=0.1086, over 14348.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03611, over 210.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3454, pruned_loss=0.09748, over 2784227.41 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07115, over 46542.36 utterances.], batch size: 210, lr: 1.47e-04
+2022-09-19 21:53:34,427 INFO [train.py:885] (0/2) Epoch 32, batch 2900, loss[loss=0.2541, simple_loss=0.3333, pruned_loss=0.08749, over 14326.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.03934, over 154.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3474, pruned_loss=0.09857, over 2784172.75 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07162, over 47539.73 utterances.], batch size: 154, lr: 1.47e-04
+2022-09-19 21:54:05,058 INFO [train.py:885] (0/2) Epoch 32, batch 2950, loss[loss=0.2838, simple_loss=0.3668, pruned_loss=0.1004, over 14371.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03232, over 244.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3438, pruned_loss=0.09674, over 2780272.36 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07154, over 46496.70 utterances.], batch size: 244, lr: 1.47e-04
+2022-09-19 21:54:34,249 INFO [train.py:885] (0/2) Epoch 32, batch 3000, loss[loss=0.3204, simple_loss=0.3867, pruned_loss=0.127, over 14324.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03847, over 283.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.3422, pruned_loss=0.09609, over 2783087.41 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07013, over 45797.14 utterances.], batch size: 283, lr: 1.47e-04
+2022-09-19 21:54:34,251 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 21:54:38,836 INFO [train.py:914] (0/2) Epoch 32, validation: loss=0.1846, simple_loss=0.2651, pruned_loss=0.05205, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 21:55:07,995 INFO [train.py:885] (0/2) Epoch 32, batch 3050, loss[loss=0.2599, simple_loss=0.3302, pruned_loss=0.09483, over 14288.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.04193, over 154.00 utterances.], tot_loss[loss=0.2673, simple_loss=0.3426, pruned_loss=0.09598, over 2780155.15 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07024, over 46268.69 utterances.], batch size: 154, lr: 1.47e-04
+2022-09-19 21:55:37,651 INFO [train.py:885] (0/2) Epoch 32, batch 3100, loss[loss=0.2241, simple_loss=0.3009, pruned_loss=0.07359, over 14138.00 frames. utt_duration=520.2 frames, utt_pad_proportion=0.0473, over 109.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3435, pruned_loss=0.09659, over 2782270.76 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07098, over 46637.31 utterances.], batch size: 109, lr: 1.47e-04
+2022-09-19 21:56:07,286 INFO [train.py:885] (0/2) Epoch 32, batch 3150, loss[loss=0.39, simple_loss=0.4378, pruned_loss=0.1712, over 14221.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04389, over 335.00 utterances.], tot_loss[loss=0.2676, simple_loss=0.342, pruned_loss=0.09662, over 2780905.37 frames. utt_duration=244.4 frames, utt_pad_proportion=0.0711, over 45798.06 utterances.], batch size: 335, lr: 1.47e-04
+2022-09-19 21:56:36,627 INFO [train.py:885] (0/2) Epoch 32, batch 3200, loss[loss=0.3913, simple_loss=0.4439, pruned_loss=0.1693, over 14222.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04307, over 306.00 utterances.], tot_loss[loss=0.266, simple_loss=0.3407, pruned_loss=0.0957, over 2781381.37 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07133, over 45348.23 utterances.], batch size: 306, lr: 1.47e-04
+2022-09-19 21:57:14,794 INFO [train.py:885] (0/2) Epoch 32, batch 3250, loss[loss=0.2913, simple_loss=0.3625, pruned_loss=0.11, over 14357.00 frames. utt_duration=296 frames, utt_pad_proportion=0.0357, over 195.00 utterances.], tot_loss[loss=0.2663, simple_loss=0.3413, pruned_loss=0.09564, over 2782187.48 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07149, over 45989.43 utterances.], batch size: 195, lr: 1.47e-04
+2022-09-19 21:57:44,344 INFO [train.py:885] (0/2) Epoch 32, batch 3300, loss[loss=0.2043, simple_loss=0.2522, pruned_loss=0.07821, over 13633.00 frames. utt_duration=1300 frames, utt_pad_proportion=0.08317, over 42.00 utterances.], tot_loss[loss=0.2649, simple_loss=0.3387, pruned_loss=0.09555, over 2781065.69 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07171, over 44452.89 utterances.], batch size: 42, lr: 1.47e-04
+2022-09-19 21:58:14,093 INFO [train.py:885] (0/2) Epoch 32, batch 3350, loss[loss=0.2842, simple_loss=0.36, pruned_loss=0.1042, over 14239.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04249, over 225.00 utterances.], tot_loss[loss=0.2615, simple_loss=0.336, pruned_loss=0.09353, over 2779452.02 frames. utt_duration=258.3 frames, utt_pad_proportion=0.07075, over 43283.97 utterances.], batch size: 225, lr: 1.47e-04
+2022-09-19 21:58:44,025 INFO [train.py:885] (0/2) Epoch 32, batch 3400, loss[loss=0.3088, simple_loss=0.3849, pruned_loss=0.1164, over 14357.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03612, over 283.00 utterances.], tot_loss[loss=0.2656, simple_loss=0.3404, pruned_loss=0.09539, over 2786339.71 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06818, over 44264.42 utterances.], batch size: 283, lr: 1.47e-04
+2022-09-19 21:59:14,010 INFO [train.py:885] (0/2) Epoch 32, batch 3450, loss[loss=0.3254, simple_loss=0.4248, pruned_loss=0.113, over 13632.00 frames. utt_duration=98.79 frames, utt_pad_proportion=0.07675, over 560.00 utterances.], tot_loss[loss=0.266, simple_loss=0.3408, pruned_loss=0.09561, over 2783018.35 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06899, over 44628.24 utterances.], batch size: 560, lr: 1.47e-04
+2022-09-19 21:59:43,197 INFO [train.py:885] (0/2) Epoch 32, batch 3500, loss[loss=0.2375, simple_loss=0.3165, pruned_loss=0.07928, over 14321.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.03978, over 154.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.341, pruned_loss=0.09533, over 2786321.64 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06947, over 44858.82 utterances.], batch size: 154, lr: 1.47e-04
+2022-09-19 22:00:12,739 INFO [train.py:885] (0/2) Epoch 32, batch 3550, loss[loss=0.1612, simple_loss=0.2296, pruned_loss=0.04645, over 13611.00 frames. utt_duration=1330 frames, utt_pad_proportion=0.07155, over 41.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3422, pruned_loss=0.09643, over 2789860.49 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06726, over 44491.07 utterances.], batch size: 41, lr: 1.47e-04
+2022-09-19 22:00:45,969 INFO [train.py:885] (0/2) Epoch 32, batch 3600, loss[loss=0.26, simple_loss=0.3465, pruned_loss=0.0868, over 14320.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.0383, over 226.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3441, pruned_loss=0.09706, over 2788883.44 frames. utt_duration=244.8 frames, utt_pad_proportion=0.06912, over 45841.87 utterances.], batch size: 226, lr: 1.47e-04
+2022-09-19 22:01:19,237 INFO [train.py:885] (0/2) Epoch 32, batch 3650, loss[loss=0.355, simple_loss=0.4404, pruned_loss=0.1348, over 13607.00 frames. utt_duration=115.4 frames, utt_pad_proportion=0.08428, over 478.00 utterances.], tot_loss[loss=0.2654, simple_loss=0.34, pruned_loss=0.09537, over 2784585.00 frames. utt_duration=253.2 frames, utt_pad_proportion=0.06952, over 44256.31 utterances.], batch size: 478, lr: 1.47e-04
+2022-09-19 22:01:49,216 INFO [train.py:885] (0/2) Epoch 32, batch 3700, loss[loss=0.3254, simple_loss=0.396, pruned_loss=0.1273, over 14204.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.044, over 306.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.3415, pruned_loss=0.09648, over 2788515.02 frames. utt_duration=250.5 frames, utt_pad_proportion=0.0673, over 44800.76 utterances.], batch size: 306, lr: 1.47e-04
+2022-09-19 22:02:22,283 INFO [train.py:885] (0/2) Epoch 32, batch 3750, loss[loss=0.2363, simple_loss=0.3121, pruned_loss=0.08029, over 14159.00 frames. utt_duration=579.4 frames, utt_pad_proportion=0.04711, over 98.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3426, pruned_loss=0.09664, over 2786648.22 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06871, over 45343.48 utterances.], batch size: 98, lr: 1.47e-04
+2022-09-19 22:02:52,649 INFO [train.py:885] (0/2) Epoch 32, batch 3800, loss[loss=0.1689, simple_loss=0.2486, pruned_loss=0.04462, over 13599.00 frames. utt_duration=1089 frames, utt_pad_proportion=0.08387, over 50.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3456, pruned_loss=0.09807, over 2784474.13 frames. utt_duration=239.3 frames, utt_pad_proportion=0.06819, over 46828.76 utterances.], batch size: 50, lr: 1.47e-04
+2022-09-19 22:03:21,693 INFO [train.py:885] (0/2) Epoch 32, batch 3850, loss[loss=0.2747, simple_loss=0.3554, pruned_loss=0.09696, over 14369.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03314, over 244.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3426, pruned_loss=0.09695, over 2788106.38 frames. utt_duration=247.8 frames, utt_pad_proportion=0.06578, over 45273.96 utterances.], batch size: 244, lr: 1.47e-04
+2022-09-19 22:03:51,582 INFO [train.py:885] (0/2) Epoch 32, batch 3900, loss[loss=0.1676, simple_loss=0.2345, pruned_loss=0.05037, over 13687.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.08115, over 42.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3484, pruned_loss=0.09871, over 2783479.62 frames. utt_duration=231 frames, utt_pad_proportion=0.07236, over 48513.25 utterances.], batch size: 42, lr: 1.47e-04
+2022-09-19 22:04:25,596 INFO [train.py:885] (0/2) Epoch 32, batch 3950, loss[loss=0.2905, simple_loss=0.3652, pruned_loss=0.1079, over 14322.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03877, over 283.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.348, pruned_loss=0.09825, over 2785767.31 frames. utt_duration=231.9 frames, utt_pad_proportion=0.07109, over 48362.17 utterances.], batch size: 283, lr: 1.47e-04
+2022-09-19 22:04:55,427 INFO [train.py:885] (0/2) Epoch 32, batch 4000, loss[loss=0.1767, simple_loss=0.2346, pruned_loss=0.05947, over 13771.00 frames. utt_duration=919.8 frames, utt_pad_proportion=0.07563, over 60.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3481, pruned_loss=0.09834, over 2781240.67 frames. utt_duration=229.1 frames, utt_pad_proportion=0.07255, over 48876.74 utterances.], batch size: 60, lr: 1.47e-04
+2022-09-19 22:05:24,677 INFO [train.py:885] (0/2) Epoch 32, batch 4050, loss[loss=0.1887, simple_loss=0.2666, pruned_loss=0.05541, over 14140.00 frames. utt_duration=637 frames, utt_pad_proportion=0.05062, over 89.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3448, pruned_loss=0.09717, over 2780742.48 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07056, over 46588.56 utterances.], batch size: 89, lr: 1.47e-04
+2022-09-19 22:05:55,076 INFO [train.py:885] (0/2) Epoch 32, batch 4100, loss[loss=0.2178, simple_loss=0.2895, pruned_loss=0.07311, over 14096.00 frames. utt_duration=576.9 frames, utt_pad_proportion=0.05275, over 98.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3485, pruned_loss=0.09872, over 2783554.05 frames. utt_duration=234 frames, utt_pad_proportion=0.07021, over 47892.91 utterances.], batch size: 98, lr: 1.47e-04
+2022-09-19 22:06:24,418 INFO [train.py:885] (0/2) Epoch 32, batch 4150, loss[loss=0.3077, simple_loss=0.3791, pruned_loss=0.1182, over 14318.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03928, over 262.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3473, pruned_loss=0.09809, over 2785187.08 frames. utt_duration=236.2 frames, utt_pad_proportion=0.0693, over 47458.61 utterances.], batch size: 262, lr: 1.47e-04
+2022-09-19 22:06:54,353 INFO [train.py:885] (0/2) Epoch 32, batch 4200, loss[loss=0.2919, simple_loss=0.3631, pruned_loss=0.1104, over 14237.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.04629, over 141.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3449, pruned_loss=0.09692, over 2784625.99 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07089, over 46722.74 utterances.], batch size: 141, lr: 1.47e-04
+2022-09-19 22:07:23,622 INFO [train.py:885] (0/2) Epoch 32, batch 4250, loss[loss=0.2148, simple_loss=0.287, pruned_loss=0.07127, over 14068.00 frames. utt_duration=575.5 frames, utt_pad_proportion=0.05352, over 98.00 utterances.], tot_loss[loss=0.2664, simple_loss=0.3415, pruned_loss=0.0956, over 2784452.55 frames. utt_duration=247.8 frames, utt_pad_proportion=0.06979, over 45222.84 utterances.], batch size: 98, lr: 1.47e-04
+2022-09-19 22:07:53,621 INFO [train.py:885] (0/2) Epoch 32, batch 4300, loss[loss=0.2855, simple_loss=0.3586, pruned_loss=0.1062, over 14244.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.0424, over 306.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3434, pruned_loss=0.09755, over 2784048.04 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07018, over 45760.16 utterances.], batch size: 306, lr: 1.47e-04
+2022-09-19 22:08:27,380 INFO [train.py:885] (0/2) Epoch 32, batch 4350, loss[loss=0.2698, simple_loss=0.3815, pruned_loss=0.07902, over 13786.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07034, over 411.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3472, pruned_loss=0.09897, over 2780608.28 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07162, over 47557.04 utterances.], batch size: 411, lr: 1.47e-04
+2022-09-19 22:08:57,173 INFO [train.py:885] (0/2) Epoch 32, batch 4400, loss[loss=0.2274, simple_loss=0.3062, pruned_loss=0.07433, over 14234.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04678, over 141.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3457, pruned_loss=0.0979, over 2780310.57 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07135, over 46845.98 utterances.], batch size: 141, lr: 1.47e-04
+2022-09-19 22:09:26,798 INFO [train.py:885] (0/2) Epoch 32, batch 4450, loss[loss=0.222, simple_loss=0.3012, pruned_loss=0.0714, over 14297.00 frames. utt_duration=373 frames, utt_pad_proportion=0.04123, over 154.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3477, pruned_loss=0.09847, over 2783410.30 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07226, over 47553.55 utterances.], batch size: 154, lr: 1.47e-04
+2022-09-19 22:09:56,189 INFO [train.py:885] (0/2) Epoch 32, batch 4500, loss[loss=0.1466, simple_loss=0.1956, pruned_loss=0.04878, over 12355.00 frames. utt_duration=2061 frames, utt_pad_proportion=0.1562, over 24.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3443, pruned_loss=0.09659, over 2781050.37 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07253, over 46540.91 utterances.], batch size: 24, lr: 1.47e-04
+2022-09-19 22:10:25,536 INFO [train.py:885] (0/2) Epoch 32, batch 4550, loss[loss=0.305, simple_loss=0.3757, pruned_loss=0.1172, over 14233.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04285, over 306.00 utterances.], tot_loss[loss=0.2663, simple_loss=0.3423, pruned_loss=0.09517, over 2782291.92 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07071, over 45909.09 utterances.], batch size: 306, lr: 1.47e-04
+2022-09-19 22:10:55,568 INFO [train.py:885] (0/2) Epoch 32, batch 4600, loss[loss=0.2476, simple_loss=0.3407, pruned_loss=0.07724, over 14256.00 frames. utt_duration=318.2 frames, utt_pad_proportion=0.04157, over 180.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3447, pruned_loss=0.09703, over 2779045.53 frames. utt_duration=241.4 frames, utt_pad_proportion=0.0732, over 46338.79 utterances.], batch size: 180, lr: 1.47e-04
+2022-09-19 22:11:24,948 INFO [train.py:885] (0/2) Epoch 32, batch 4650, loss[loss=0.1912, simple_loss=0.2738, pruned_loss=0.05435, over 13879.00 frames. utt_duration=806 frames, utt_pad_proportion=0.06173, over 69.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.3422, pruned_loss=0.09584, over 2779078.92 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07183, over 45597.72 utterances.], batch size: 69, lr: 1.47e-04
+2022-09-19 22:11:55,449 INFO [train.py:885] (0/2) Epoch 32, batch 4700, loss[loss=0.1754, simple_loss=0.231, pruned_loss=0.05984, over 13752.00 frames. utt_duration=918.2 frames, utt_pad_proportion=0.06871, over 60.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3464, pruned_loss=0.09668, over 2777521.74 frames. utt_duration=229.2 frames, utt_pad_proportion=0.07494, over 48778.61 utterances.], batch size: 60, lr: 1.47e-04
+2022-09-19 22:12:24,268 INFO [train.py:885] (0/2) Epoch 32, batch 4750, loss[loss=0.3427, simple_loss=0.4494, pruned_loss=0.118, over 13213.00 frames. utt_duration=82.41 frames, utt_pad_proportion=0.1043, over 653.00 utterances.], tot_loss[loss=0.2656, simple_loss=0.3418, pruned_loss=0.0947, over 2778212.10 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07403, over 46743.91 utterances.], batch size: 653, lr: 1.47e-04
+2022-09-19 22:12:43,014 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-396000.pt
+2022-09-19 22:12:54,857 INFO [train.py:885] (0/2) Epoch 32, batch 4800, loss[loss=0.284, simple_loss=0.3573, pruned_loss=0.1053, over 14332.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03745, over 195.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3475, pruned_loss=0.09874, over 2780053.29 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07429, over 47677.19 utterances.], batch size: 195, lr: 1.47e-04
+2022-09-19 22:13:24,153 INFO [train.py:885] (0/2) Epoch 32, batch 4850, loss[loss=0.2712, simple_loss=0.341, pruned_loss=0.1007, over 14257.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04517, over 141.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3428, pruned_loss=0.09631, over 2779964.54 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07092, over 45711.72 utterances.], batch size: 141, lr: 1.47e-04
+2022-09-19 22:13:54,449 INFO [train.py:885] (0/2) Epoch 32, batch 4900, loss[loss=0.3232, simple_loss=0.3921, pruned_loss=0.1271, over 14341.00 frames. utt_duration=220.4 frames, utt_pad_proportion=0.0374, over 262.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3474, pruned_loss=0.09829, over 2779142.66 frames. utt_duration=233.5 frames, utt_pad_proportion=0.07301, over 47918.25 utterances.], batch size: 262, lr: 1.47e-04
+2022-09-19 22:14:24,920 INFO [train.py:885] (0/2) Epoch 32, batch 4950, loss[loss=0.3352, simple_loss=0.3905, pruned_loss=0.1399, over 14318.00 frames. utt_duration=319.7 frames, utt_pad_proportion=0.03705, over 180.00 utterances.], tot_loss[loss=0.267, simple_loss=0.3428, pruned_loss=0.09566, over 2778964.27 frames. utt_duration=241 frames, utt_pad_proportion=0.07223, over 46409.42 utterances.], batch size: 180, lr: 1.47e-04
+2022-09-19 22:14:55,006 INFO [train.py:885] (0/2) Epoch 32, batch 5000, loss[loss=0.1782, simple_loss=0.2589, pruned_loss=0.04877, over 14010.00 frames. utt_duration=710.7 frames, utt_pad_proportion=0.05493, over 79.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3446, pruned_loss=0.09692, over 2781401.95 frames. utt_duration=239.4 frames, utt_pad_proportion=0.0722, over 46764.37 utterances.], batch size: 79, lr: 1.47e-04
+2022-09-19 22:15:24,211 INFO [train.py:885] (0/2) Epoch 32, batch 5050, loss[loss=0.2955, simple_loss=0.376, pruned_loss=0.1075, over 14219.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.0436, over 306.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.342, pruned_loss=0.0967, over 2782304.64 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07095, over 45071.96 utterances.], batch size: 306, lr: 1.47e-04
+2022-09-19 22:15:54,229 INFO [train.py:885] (0/2) Epoch 32, batch 5100, loss[loss=0.3873, simple_loss=0.4833, pruned_loss=0.1456, over 13101.00 frames. utt_duration=81.77 frames, utt_pad_proportion=0.1112, over 653.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3426, pruned_loss=0.09714, over 2780502.89 frames. utt_duration=246.9 frames, utt_pad_proportion=0.0718, over 45323.57 utterances.], batch size: 653, lr: 1.47e-04
+2022-09-19 22:16:23,973 INFO [train.py:885] (0/2) Epoch 32, batch 5150, loss[loss=0.3043, simple_loss=0.373, pruned_loss=0.1177, over 14266.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.04076, over 180.00 utterances.], tot_loss[loss=0.2655, simple_loss=0.3391, pruned_loss=0.09595, over 2779919.48 frames. utt_duration=258.2 frames, utt_pad_proportion=0.0705, over 43309.52 utterances.], batch size: 180, lr: 1.47e-04
+2022-09-19 22:16:53,462 INFO [train.py:885] (0/2) Epoch 32, batch 5200, loss[loss=0.3322, simple_loss=0.3886, pruned_loss=0.1379, over 14330.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03797, over 195.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3404, pruned_loss=0.09634, over 2779333.33 frames. utt_duration=252.7 frames, utt_pad_proportion=0.07148, over 44260.16 utterances.], batch size: 195, lr: 1.47e-04
+2022-09-19 22:17:23,196 INFO [train.py:885] (0/2) Epoch 32, batch 5250, loss[loss=0.299, simple_loss=0.3652, pruned_loss=0.1164, over 14311.00 frames. utt_duration=255.9 frames, utt_pad_proportion=0.03808, over 225.00 utterances.], tot_loss[loss=0.2643, simple_loss=0.3382, pruned_loss=0.09518, over 2777134.86 frames. utt_duration=255.3 frames, utt_pad_proportion=0.07106, over 43767.70 utterances.], batch size: 225, lr: 1.47e-04
+2022-09-19 22:17:53,016 INFO [train.py:885] (0/2) Epoch 32, batch 5300, loss[loss=0.1811, simple_loss=0.239, pruned_loss=0.06159, over 13832.00 frames. utt_duration=923.5 frames, utt_pad_proportion=0.07181, over 60.00 utterances.], tot_loss[loss=0.2642, simple_loss=0.3381, pruned_loss=0.09514, over 2772043.38 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07231, over 44701.06 utterances.], batch size: 60, lr: 1.47e-04
+2022-09-19 22:18:22,633 INFO [train.py:885] (0/2) Epoch 32, batch 5350, loss[loss=0.3449, simple_loss=0.3976, pruned_loss=0.1461, over 14310.00 frames. utt_duration=295 frames, utt_pad_proportion=0.03905, over 195.00 utterances.], tot_loss[loss=0.2621, simple_loss=0.3365, pruned_loss=0.0939, over 2778053.95 frames. utt_duration=254.9 frames, utt_pad_proportion=0.07052, over 43845.09 utterances.], batch size: 195, lr: 1.47e-04
+2022-09-19 22:18:52,242 INFO [train.py:885] (0/2) Epoch 32, batch 5400, loss[loss=0.157, simple_loss=0.2155, pruned_loss=0.04928, over 13028.00 frames. utt_duration=2086 frames, utt_pad_proportion=0.1056, over 25.00 utterances.], tot_loss[loss=0.2637, simple_loss=0.3384, pruned_loss=0.09453, over 2776680.99 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07106, over 44719.26 utterances.], batch size: 25, lr: 1.47e-04
+2022-09-19 22:19:25,361 INFO [train.py:885] (0/2) Epoch 32, batch 5450, loss[loss=0.2018, simple_loss=0.2725, pruned_loss=0.06553, over 14244.00 frames. utt_duration=641.6 frames, utt_pad_proportion=0.04387, over 89.00 utterances.], tot_loss[loss=0.2624, simple_loss=0.337, pruned_loss=0.09389, over 2776074.85 frames. utt_duration=253.7 frames, utt_pad_proportion=0.07119, over 44033.79 utterances.], batch size: 89, lr: 1.47e-04
+2022-09-19 22:20:01,257 INFO [train.py:885] (0/2) Epoch 32, batch 5500, loss[loss=0.2596, simple_loss=0.3136, pruned_loss=0.1028, over 14036.00 frames. utt_duration=574.5 frames, utt_pad_proportion=0.05515, over 98.00 utterances.], tot_loss[loss=0.264, simple_loss=0.3392, pruned_loss=0.09441, over 2773961.89 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07226, over 45233.90 utterances.], batch size: 98, lr: 1.47e-04
+2022-09-19 22:20:30,830 INFO [train.py:885] (0/2) Epoch 32, batch 5550, loss[loss=0.3008, simple_loss=0.3739, pruned_loss=0.1139, over 14269.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04084, over 225.00 utterances.], tot_loss[loss=0.266, simple_loss=0.3409, pruned_loss=0.09555, over 2776769.85 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07164, over 45194.78 utterances.], batch size: 225, lr: 1.47e-04
+2022-09-19 22:21:00,548 INFO [train.py:885] (0/2) Epoch 32, batch 5600, loss[loss=0.2784, simple_loss=0.3582, pruned_loss=0.09926, over 14342.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03767, over 283.00 utterances.], tot_loss[loss=0.2651, simple_loss=0.3398, pruned_loss=0.09516, over 2777674.45 frames. utt_duration=253.3 frames, utt_pad_proportion=0.0706, over 44115.21 utterances.], batch size: 283, lr: 1.47e-04
+2022-09-19 22:21:31,102 INFO [train.py:885] (0/2) Epoch 32, batch 5650, loss[loss=0.2966, simple_loss=0.3702, pruned_loss=0.1115, over 14304.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03973, over 262.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.344, pruned_loss=0.09708, over 2776637.87 frames. utt_duration=245 frames, utt_pad_proportion=0.07302, over 45605.74 utterances.], batch size: 262, lr: 1.47e-04
+2022-09-19 22:22:00,676 INFO [train.py:885] (0/2) Epoch 32, batch 5700, loss[loss=0.2288, simple_loss=0.3111, pruned_loss=0.07323, over 14233.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.04376, over 141.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3451, pruned_loss=0.09801, over 2780619.91 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07161, over 45711.88 utterances.], batch size: 141, lr: 1.47e-04
+2022-09-19 22:22:30,097 INFO [train.py:885] (0/2) Epoch 32, batch 5750, loss[loss=0.2297, simple_loss=0.2963, pruned_loss=0.08155, over 13991.00 frames. utt_duration=572.3 frames, utt_pad_proportion=0.06183, over 98.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3475, pruned_loss=0.09952, over 2782664.13 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07246, over 46801.25 utterances.], batch size: 98, lr: 1.47e-04
+2022-09-19 22:22:59,806 INFO [train.py:885] (0/2) Epoch 32, batch 5800, loss[loss=0.273, simple_loss=0.3736, pruned_loss=0.08618, over 13777.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07134, over 411.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3447, pruned_loss=0.09855, over 2782000.64 frames. utt_duration=247 frames, utt_pad_proportion=0.06975, over 45326.73 utterances.], batch size: 411, lr: 1.47e-04
+2022-09-19 22:23:29,610 INFO [train.py:885] (0/2) Epoch 32, batch 5850, loss[loss=0.6021, simple_loss=0.6581, pruned_loss=0.2731, over 12604.00 frames. utt_duration=63.8 frames, utt_pad_proportion=0.1379, over 810.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3434, pruned_loss=0.09768, over 2778001.25 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06883, over 44763.01 utterances.], batch size: 810, lr: 1.47e-04
+2022-09-19 22:23:57,928 INFO [train.py:885] (0/2) Epoch 32, batch 5900, loss[loss=0.2391, simple_loss=0.2946, pruned_loss=0.09178, over 13507.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.09154, over 50.00 utterances.], tot_loss[loss=0.264, simple_loss=0.3371, pruned_loss=0.09539, over 2777917.67 frames. utt_duration=267.5 frames, utt_pad_proportion=0.06624, over 41767.90 utterances.], batch size: 50, lr: 1.47e-04
+2022-09-19 22:24:27,861 INFO [train.py:885] (0/2) Epoch 32, batch 5950, loss[loss=0.3033, simple_loss=0.3761, pruned_loss=0.1152, over 14205.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04433, over 306.00 utterances.], tot_loss[loss=0.2646, simple_loss=0.3386, pruned_loss=0.09527, over 2781808.25 frames. utt_duration=258.6 frames, utt_pad_proportion=0.06677, over 43269.01 utterances.], batch size: 306, lr: 1.47e-04
+2022-09-19 22:24:57,222 INFO [train.py:885] (0/2) Epoch 32, batch 6000, loss[loss=0.2506, simple_loss=0.3244, pruned_loss=0.08837, over 14283.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.0424, over 154.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.3411, pruned_loss=0.09612, over 2783697.62 frames. utt_duration=253.7 frames, utt_pad_proportion=0.07008, over 44146.89 utterances.], batch size: 154, lr: 1.47e-04
+2022-09-19 22:24:57,224 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 22:25:02,158 INFO [train.py:914] (0/2) Epoch 32, validation: loss=0.1909, simple_loss=0.2709, pruned_loss=0.05548, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 22:25:31,997 INFO [train.py:885] (0/2) Epoch 32, batch 6050, loss[loss=0.2742, simple_loss=0.3471, pruned_loss=0.1006, over 14295.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.04153, over 154.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3429, pruned_loss=0.09659, over 2785092.14 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06909, over 45060.27 utterances.], batch size: 154, lr: 1.47e-04
+2022-09-19 22:26:01,262 INFO [train.py:885] (0/2) Epoch 32, batch 6100, loss[loss=0.3452, simple_loss=0.4584, pruned_loss=0.116, over 13153.00 frames. utt_duration=82.02 frames, utt_pad_proportion=0.1085, over 653.00 utterances.], tot_loss[loss=0.2654, simple_loss=0.3404, pruned_loss=0.09515, over 2785345.20 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06808, over 44395.44 utterances.], batch size: 653, lr: 1.47e-04
+2022-09-19 22:26:31,042 INFO [train.py:885] (0/2) Epoch 32, batch 6150, loss[loss=0.2222, simple_loss=0.3086, pruned_loss=0.06791, over 14222.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.04759, over 141.00 utterances.], tot_loss[loss=0.2644, simple_loss=0.3397, pruned_loss=0.09457, over 2779838.12 frames. utt_duration=249.1 frames, utt_pad_proportion=0.071, over 44908.75 utterances.], batch size: 141, lr: 1.47e-04
+2022-09-19 22:27:01,093 INFO [train.py:885] (0/2) Epoch 32, batch 6200, loss[loss=0.2892, simple_loss=0.3709, pruned_loss=0.1037, over 14317.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03908, over 262.00 utterances.], tot_loss[loss=0.2603, simple_loss=0.335, pruned_loss=0.09277, over 2780370.06 frames. utt_duration=264.3 frames, utt_pad_proportion=0.06939, over 42316.62 utterances.], batch size: 262, lr: 1.47e-04
+2022-09-19 22:27:29,794 INFO [train.py:885] (0/2) Epoch 32, batch 6250, loss[loss=0.3817, simple_loss=0.4769, pruned_loss=0.1433, over 13120.00 frames. utt_duration=81.86 frames, utt_pad_proportion=0.1102, over 653.00 utterances.], tot_loss[loss=0.2613, simple_loss=0.3364, pruned_loss=0.09306, over 2779704.39 frames. utt_duration=258 frames, utt_pad_proportion=0.07052, over 43340.99 utterances.], batch size: 653, lr: 1.47e-04
+2022-09-19 22:27:59,641 INFO [train.py:885] (0/2) Epoch 32, batch 6300, loss[loss=0.158, simple_loss=0.2333, pruned_loss=0.04132, over 13635.00 frames. utt_duration=1300 frames, utt_pad_proportion=0.08962, over 42.00 utterances.], tot_loss[loss=0.2614, simple_loss=0.3362, pruned_loss=0.0933, over 2782188.86 frames. utt_duration=264.3 frames, utt_pad_proportion=0.06742, over 42337.92 utterances.], batch size: 42, lr: 1.47e-04
+2022-09-19 22:28:29,054 INFO [train.py:885] (0/2) Epoch 32, batch 6350, loss[loss=0.2787, simple_loss=0.3867, pruned_loss=0.08537, over 13629.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08141, over 477.00 utterances.], tot_loss[loss=0.2645, simple_loss=0.3383, pruned_loss=0.09533, over 2783074.83 frames. utt_duration=259.2 frames, utt_pad_proportion=0.0673, over 43191.45 utterances.], batch size: 477, lr: 1.47e-04
+2022-09-19 22:28:59,248 INFO [train.py:885] (0/2) Epoch 32, batch 6400, loss[loss=0.2465, simple_loss=0.3225, pruned_loss=0.08522, over 14298.00 frames. utt_duration=441.3 frames, utt_pad_proportion=0.03846, over 130.00 utterances.], tot_loss[loss=0.2631, simple_loss=0.3366, pruned_loss=0.09476, over 2780687.73 frames. utt_duration=265.7 frames, utt_pad_proportion=0.0691, over 42100.18 utterances.], batch size: 130, lr: 1.47e-04
+2022-09-19 22:29:29,145 INFO [train.py:885] (0/2) Epoch 32, batch 6450, loss[loss=0.2833, simple_loss=0.3934, pruned_loss=0.08657, over 13613.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08188, over 477.00 utterances.], tot_loss[loss=0.2637, simple_loss=0.3376, pruned_loss=0.09489, over 2781528.75 frames. utt_duration=262.1 frames, utt_pad_proportion=0.06898, over 42694.44 utterances.], batch size: 477, lr: 1.47e-04
+2022-09-19 22:30:03,449 INFO [train.py:885] (0/2) Epoch 32, batch 6500, loss[loss=0.3645, simple_loss=0.4149, pruned_loss=0.1571, over 14210.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04449, over 335.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3434, pruned_loss=0.09768, over 2776347.62 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07189, over 45682.57 utterances.], batch size: 335, lr: 1.47e-04
+2022-09-19 22:30:32,852 INFO [train.py:885] (0/2) Epoch 32, batch 6550, loss[loss=0.184, simple_loss=0.2509, pruned_loss=0.05856, over 13743.00 frames. utt_duration=1101 frames, utt_pad_proportion=0.07017, over 50.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3417, pruned_loss=0.09629, over 2776758.65 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07156, over 45499.52 utterances.], batch size: 50, lr: 1.47e-04
+2022-09-19 22:31:02,333 INFO [train.py:885] (0/2) Epoch 32, batch 6600, loss[loss=0.207, simple_loss=0.2728, pruned_loss=0.07061, over 13185.00 frames. utt_duration=2030 frames, utt_pad_proportion=0.1201, over 26.00 utterances.], tot_loss[loss=0.2634, simple_loss=0.3386, pruned_loss=0.09412, over 2781478.30 frames. utt_duration=254.2 frames, utt_pad_proportion=0.07008, over 44020.33 utterances.], batch size: 26, lr: 1.47e-04
+2022-09-19 22:31:33,473 INFO [train.py:885] (0/2) Epoch 32, batch 6650, loss[loss=0.2707, simple_loss=0.3491, pruned_loss=0.09618, over 14350.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03661, over 210.00 utterances.], tot_loss[loss=0.2644, simple_loss=0.3396, pruned_loss=0.09464, over 2781610.72 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07025, over 44814.30 utterances.], batch size: 210, lr: 1.47e-04
+2022-09-19 22:32:06,078 INFO [train.py:885] (0/2) Epoch 32, batch 6700, loss[loss=0.4233, simple_loss=0.4945, pruned_loss=0.176, over 13570.00 frames. utt_duration=98.36 frames, utt_pad_proportion=0.08074, over 560.00 utterances.], tot_loss[loss=0.2653, simple_loss=0.3397, pruned_loss=0.09543, over 2777910.32 frames. utt_duration=249.8 frames, utt_pad_proportion=0.0706, over 44741.02 utterances.], batch size: 560, lr: 1.47e-04
+2022-09-19 22:32:36,311 INFO [train.py:885] (0/2) Epoch 32, batch 6750, loss[loss=0.4266, simple_loss=0.4929, pruned_loss=0.1801, over 13752.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07223, over 411.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3435, pruned_loss=0.09719, over 2778341.98 frames. utt_duration=241.1 frames, utt_pad_proportion=0.06976, over 46370.85 utterances.], batch size: 411, lr: 1.47e-04
+2022-09-19 22:33:12,161 INFO [train.py:885] (0/2) Epoch 32, batch 6800, loss[loss=0.2065, simple_loss=0.2805, pruned_loss=0.06624, over 13846.00 frames. utt_duration=924.5 frames, utt_pad_proportion=0.07174, over 60.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3407, pruned_loss=0.09609, over 2781409.61 frames. utt_duration=252 frames, utt_pad_proportion=0.06765, over 44404.78 utterances.], batch size: 60, lr: 1.47e-04
+2022-09-19 22:33:41,843 INFO [train.py:885] (0/2) Epoch 32, batch 6850, loss[loss=0.1923, simple_loss=0.2668, pruned_loss=0.0589, over 14227.00 frames. utt_duration=641 frames, utt_pad_proportion=0.04469, over 89.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.3402, pruned_loss=0.09574, over 2780097.31 frames. utt_duration=253.2 frames, utt_pad_proportion=0.06686, over 44181.54 utterances.], batch size: 89, lr: 1.47e-04
+2022-09-19 22:34:11,873 INFO [train.py:885] (0/2) Epoch 32, batch 6900, loss[loss=0.2924, simple_loss=0.3904, pruned_loss=0.09714, over 14032.00 frames. utt_duration=155.2 frames, utt_pad_proportion=0.05389, over 365.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3413, pruned_loss=0.09613, over 2780038.22 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06919, over 44884.35 utterances.], batch size: 365, lr: 1.47e-04
+2022-09-19 22:34:41,835 INFO [train.py:885] (0/2) Epoch 32, batch 6950, loss[loss=0.1955, simple_loss=0.2786, pruned_loss=0.05619, over 14156.00 frames. utt_duration=637.8 frames, utt_pad_proportion=0.04948, over 89.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3431, pruned_loss=0.09619, over 2784438.31 frames. utt_duration=244.7 frames, utt_pad_proportion=0.06858, over 45784.52 utterances.], batch size: 89, lr: 1.47e-04
+2022-09-19 22:35:11,242 INFO [train.py:885] (0/2) Epoch 32, batch 7000, loss[loss=0.1525, simple_loss=0.2182, pruned_loss=0.04343, over 12997.00 frames. utt_duration=1577 frames, utt_pad_proportion=0.1273, over 33.00 utterances.], tot_loss[loss=0.2654, simple_loss=0.3403, pruned_loss=0.09525, over 2782096.00 frames. utt_duration=251.3 frames, utt_pad_proportion=0.06866, over 44538.90 utterances.], batch size: 33, lr: 1.47e-04
+2022-09-19 22:35:40,630 INFO [train.py:885] (0/2) Epoch 32, batch 7050, loss[loss=0.1689, simple_loss=0.2387, pruned_loss=0.04951, over 13666.00 frames. utt_duration=912.5 frames, utt_pad_proportion=0.0838, over 60.00 utterances.], tot_loss[loss=0.266, simple_loss=0.3405, pruned_loss=0.09569, over 2782662.92 frames. utt_duration=255.7 frames, utt_pad_proportion=0.06774, over 43776.73 utterances.], batch size: 60, lr: 1.47e-04
+2022-09-19 22:36:10,244 INFO [train.py:885] (0/2) Epoch 32, batch 7100, loss[loss=0.2491, simple_loss=0.3311, pruned_loss=0.08357, over 14260.00 frames. utt_duration=343.2 frames, utt_pad_proportion=0.04412, over 167.00 utterances.], tot_loss[loss=0.2649, simple_loss=0.3399, pruned_loss=0.09499, over 2786729.44 frames. utt_duration=255.1 frames, utt_pad_proportion=0.06738, over 43958.33 utterances.], batch size: 167, lr: 1.47e-04
+2022-09-19 22:36:40,631 INFO [train.py:885] (0/2) Epoch 32, batch 7150, loss[loss=0.3515, simple_loss=0.4409, pruned_loss=0.1311, over 13617.00 frames. utt_duration=98.62 frames, utt_pad_proportion=0.07834, over 560.00 utterances.], tot_loss[loss=0.267, simple_loss=0.3412, pruned_loss=0.09639, over 2782330.18 frames. utt_duration=252.7 frames, utt_pad_proportion=0.0696, over 44305.54 utterances.], batch size: 560, lr: 1.47e-04
+2022-09-19 22:37:09,713 INFO [train.py:885] (0/2) Epoch 32, batch 7200, loss[loss=0.2459, simple_loss=0.3391, pruned_loss=0.07639, over 14396.00 frames. utt_duration=296.8 frames, utt_pad_proportion=0.03312, over 195.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.3409, pruned_loss=0.09621, over 2776888.20 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07148, over 44729.14 utterances.], batch size: 195, lr: 1.46e-04
+2022-09-19 22:37:38,967 INFO [train.py:885] (0/2) Epoch 32, batch 7250, loss[loss=0.2987, simple_loss=0.3929, pruned_loss=0.1023, over 13771.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07214, over 411.00 utterances.], tot_loss[loss=0.2673, simple_loss=0.3419, pruned_loss=0.09641, over 2776159.79 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07284, over 45735.88 utterances.], batch size: 411, lr: 1.46e-04
+2022-09-19 22:38:07,740 INFO [train.py:885] (0/2) Epoch 32, batch 7300, loss[loss=0.1491, simple_loss=0.2047, pruned_loss=0.04673, over 13221.00 frames. utt_duration=1604 frames, utt_pad_proportion=0.1109, over 33.00 utterances.], tot_loss[loss=0.2627, simple_loss=0.337, pruned_loss=0.09421, over 2776733.53 frames. utt_duration=257.5 frames, utt_pad_proportion=0.07032, over 43386.56 utterances.], batch size: 33, lr: 1.46e-04
+2022-09-19 22:38:37,933 INFO [train.py:885] (0/2) Epoch 32, batch 7350, loss[loss=0.1579, simple_loss=0.2232, pruned_loss=0.04633, over 13246.00 frames. utt_duration=1607 frames, utt_pad_proportion=0.1105, over 33.00 utterances.], tot_loss[loss=0.266, simple_loss=0.3405, pruned_loss=0.09577, over 2778678.64 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07269, over 44893.23 utterances.], batch size: 33, lr: 1.46e-04
+2022-09-19 22:39:07,202 INFO [train.py:885] (0/2) Epoch 32, batch 7400, loss[loss=0.1658, simple_loss=0.2276, pruned_loss=0.05195, over 13848.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.07362, over 51.00 utterances.], tot_loss[loss=0.2657, simple_loss=0.3399, pruned_loss=0.09576, over 2776586.30 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07211, over 44604.07 utterances.], batch size: 51, lr: 1.46e-04
+2022-09-19 22:39:37,249 INFO [train.py:885] (0/2) Epoch 32, batch 7450, loss[loss=0.2384, simple_loss=0.3058, pruned_loss=0.08549, over 14136.00 frames. utt_duration=520 frames, utt_pad_proportion=0.04754, over 109.00 utterances.], tot_loss[loss=0.2653, simple_loss=0.3399, pruned_loss=0.0954, over 2778995.85 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07101, over 44557.03 utterances.], batch size: 109, lr: 1.46e-04
+2022-09-19 22:40:06,913 INFO [train.py:885] (0/2) Epoch 32, batch 7500, loss[loss=0.5661, simple_loss=0.6364, pruned_loss=0.2479, over 12403.00 frames. utt_duration=62.81 frames, utt_pad_proportion=0.1513, over 810.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.3423, pruned_loss=0.09628, over 2774968.32 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07326, over 46065.86 utterances.], batch size: 810, lr: 1.46e-04
+2022-09-19 22:40:36,310 INFO [train.py:885] (0/2) Epoch 32, batch 7550, loss[loss=0.3908, simple_loss=0.4786, pruned_loss=0.1516, over 13088.00 frames. utt_duration=81.73 frames, utt_pad_proportion=0.1117, over 653.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3427, pruned_loss=0.09631, over 2773666.03 frames. utt_duration=240 frames, utt_pad_proportion=0.07428, over 46512.60 utterances.], batch size: 653, lr: 1.46e-04
+2022-09-19 22:41:05,532 INFO [train.py:885] (0/2) Epoch 32, batch 7600, loss[loss=0.2501, simple_loss=0.3195, pruned_loss=0.09034, over 14303.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.03993, over 130.00 utterances.], tot_loss[loss=0.2661, simple_loss=0.3404, pruned_loss=0.09595, over 2774159.33 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07423, over 45167.93 utterances.], batch size: 130, lr: 1.46e-04
+2022-09-19 22:41:35,067 INFO [train.py:885] (0/2) Epoch 32, batch 7650, loss[loss=0.2662, simple_loss=0.3371, pruned_loss=0.09768, over 14339.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03708, over 210.00 utterances.], tot_loss[loss=0.2637, simple_loss=0.3376, pruned_loss=0.09491, over 2775257.79 frames. utt_duration=253.7 frames, utt_pad_proportion=0.07276, over 44018.05 utterances.], batch size: 210, lr: 1.46e-04
+2022-09-19 22:42:04,950 INFO [train.py:885] (0/2) Epoch 32, batch 7700, loss[loss=0.179, simple_loss=0.2541, pruned_loss=0.05196, over 13916.00 frames. utt_duration=929.1 frames, utt_pad_proportion=0.06714, over 60.00 utterances.], tot_loss[loss=0.2637, simple_loss=0.3376, pruned_loss=0.0949, over 2777022.99 frames. utt_duration=255.2 frames, utt_pad_proportion=0.07239, over 43771.99 utterances.], batch size: 60, lr: 1.46e-04
+2022-09-19 22:42:33,919 INFO [train.py:885] (0/2) Epoch 32, batch 7750, loss[loss=0.3604, simple_loss=0.4133, pruned_loss=0.1538, over 14309.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.03997, over 262.00 utterances.], tot_loss[loss=0.2661, simple_loss=0.3398, pruned_loss=0.09621, over 2781070.91 frames. utt_duration=255.7 frames, utt_pad_proportion=0.07102, over 43765.09 utterances.], batch size: 262, lr: 1.46e-04
+2022-09-19 22:43:03,631 INFO [train.py:885] (0/2) Epoch 32, batch 7800, loss[loss=0.3315, simple_loss=0.4423, pruned_loss=0.1103, over 13178.00 frames. utt_duration=82.31 frames, utt_pad_proportion=0.1053, over 653.00 utterances.], tot_loss[loss=0.2636, simple_loss=0.3381, pruned_loss=0.09456, over 2780191.03 frames. utt_duration=256.7 frames, utt_pad_proportion=0.07177, over 43566.62 utterances.], batch size: 653, lr: 1.46e-04
+2022-09-19 22:43:33,189 INFO [train.py:885] (0/2) Epoch 32, batch 7850, loss[loss=0.2115, simple_loss=0.2712, pruned_loss=0.07593, over 13948.00 frames. utt_duration=931.3 frames, utt_pad_proportion=0.06493, over 60.00 utterances.], tot_loss[loss=0.2657, simple_loss=0.3402, pruned_loss=0.09555, over 2780167.91 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07203, over 44765.18 utterances.], batch size: 60, lr: 1.46e-04
+2022-09-19 22:44:02,860 INFO [train.py:885] (0/2) Epoch 32, batch 7900, loss[loss=0.3217, simple_loss=0.3865, pruned_loss=0.1285, over 14300.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03984, over 283.00 utterances.], tot_loss[loss=0.2653, simple_loss=0.3396, pruned_loss=0.09548, over 2781681.61 frames. utt_duration=248.3 frames, utt_pad_proportion=0.0704, over 45073.60 utterances.], batch size: 283, lr: 1.46e-04
+2022-09-19 22:44:31,332 INFO [train.py:885] (0/2) Epoch 32, batch 7950, loss[loss=0.1893, simple_loss=0.2479, pruned_loss=0.06535, over 13730.00 frames. utt_duration=1309 frames, utt_pad_proportion=0.08185, over 42.00 utterances.], tot_loss[loss=0.2628, simple_loss=0.3366, pruned_loss=0.09447, over 2784809.40 frames. utt_duration=261.5 frames, utt_pad_proportion=0.06728, over 42842.88 utterances.], batch size: 42, lr: 1.46e-04
+2022-09-19 22:45:00,607 INFO [train.py:885] (0/2) Epoch 32, batch 8000, loss[loss=0.1454, simple_loss=0.195, pruned_loss=0.04795, over 12701.00 frames. utt_duration=2118 frames, utt_pad_proportion=0.1528, over 24.00 utterances.], tot_loss[loss=0.2599, simple_loss=0.3341, pruned_loss=0.09285, over 2784657.12 frames. utt_duration=262.5 frames, utt_pad_proportion=0.06676, over 42664.39 utterances.], batch size: 24, lr: 1.46e-04
+2022-09-19 22:45:30,433 INFO [train.py:885] (0/2) Epoch 32, batch 8050, loss[loss=0.3534, simple_loss=0.4077, pruned_loss=0.1495, over 14247.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04226, over 335.00 utterances.], tot_loss[loss=0.2607, simple_loss=0.3354, pruned_loss=0.09303, over 2781603.89 frames. utt_duration=258 frames, utt_pad_proportion=0.0695, over 43370.80 utterances.], batch size: 335, lr: 1.46e-04
+2022-09-19 22:45:59,570 INFO [train.py:885] (0/2) Epoch 32, batch 8100, loss[loss=0.4017, simple_loss=0.4718, pruned_loss=0.1658, over 13777.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07096, over 411.00 utterances.], tot_loss[loss=0.2611, simple_loss=0.3353, pruned_loss=0.09345, over 2781572.31 frames. utt_duration=261.9 frames, utt_pad_proportion=0.07007, over 42725.08 utterances.], batch size: 411, lr: 1.46e-04
+2022-09-19 22:46:29,649 INFO [train.py:885] (0/2) Epoch 32, batch 8150, loss[loss=0.3364, simple_loss=0.4023, pruned_loss=0.1353, over 14258.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04139, over 335.00 utterances.], tot_loss[loss=0.2623, simple_loss=0.3368, pruned_loss=0.09394, over 2779543.05 frames. utt_duration=254.4 frames, utt_pad_proportion=0.07076, over 43956.84 utterances.], batch size: 335, lr: 1.46e-04
+2022-09-19 22:46:58,931 INFO [train.py:885] (0/2) Epoch 32, batch 8200, loss[loss=0.1587, simple_loss=0.2339, pruned_loss=0.04179, over 13356.00 frames. utt_duration=1070 frames, utt_pad_proportion=0.09754, over 50.00 utterances.], tot_loss[loss=0.2638, simple_loss=0.3385, pruned_loss=0.09451, over 2782151.25 frames. utt_duration=253.4 frames, utt_pad_proportion=0.07075, over 44166.25 utterances.], batch size: 50, lr: 1.46e-04
+2022-09-19 22:47:29,038 INFO [train.py:885] (0/2) Epoch 32, batch 8250, loss[loss=0.3394, simple_loss=0.394, pruned_loss=0.1424, over 14154.00 frames. utt_duration=186.7 frames, utt_pad_proportion=0.04759, over 306.00 utterances.], tot_loss[loss=0.2649, simple_loss=0.3401, pruned_loss=0.09484, over 2779727.29 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07053, over 45618.19 utterances.], batch size: 306, lr: 1.46e-04
+2022-09-19 22:47:59,194 INFO [train.py:885] (0/2) Epoch 32, batch 8300, loss[loss=0.3701, simple_loss=0.4758, pruned_loss=0.1322, over 13133.00 frames. utt_duration=81.91 frames, utt_pad_proportion=0.1096, over 653.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.3401, pruned_loss=0.09575, over 2779566.16 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07025, over 45057.16 utterances.], batch size: 653, lr: 1.46e-04
+2022-09-19 22:48:28,232 INFO [train.py:885] (0/2) Epoch 32, batch 8350, loss[loss=0.2209, simple_loss=0.2949, pruned_loss=0.07344, over 14248.00 frames. utt_duration=524.2 frames, utt_pad_proportion=0.03986, over 109.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3408, pruned_loss=0.09605, over 2781628.99 frames. utt_duration=248.1 frames, utt_pad_proportion=0.06918, over 45115.50 utterances.], batch size: 109, lr: 1.46e-04
+2022-09-19 22:48:58,176 INFO [train.py:885] (0/2) Epoch 32, batch 8400, loss[loss=0.214, simple_loss=0.2964, pruned_loss=0.06576, over 14231.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04676, over 141.00 utterances.], tot_loss[loss=0.2628, simple_loss=0.3363, pruned_loss=0.09466, over 2781624.85 frames. utt_duration=262.9 frames, utt_pad_proportion=0.06806, over 42566.31 utterances.], batch size: 141, lr: 1.46e-04
+2022-09-19 22:49:27,188 INFO [train.py:885] (0/2) Epoch 32, batch 8450, loss[loss=0.2275, simple_loss=0.3096, pruned_loss=0.07273, over 14348.00 frames. utt_duration=479.6 frames, utt_pad_proportion=0.03498, over 120.00 utterances.], tot_loss[loss=0.2634, simple_loss=0.3374, pruned_loss=0.09473, over 2785663.15 frames. utt_duration=259.6 frames, utt_pad_proportion=0.06748, over 43167.04 utterances.], batch size: 120, lr: 1.46e-04
+2022-09-19 22:49:56,766 INFO [train.py:885] (0/2) Epoch 32, batch 8500, loss[loss=0.3261, simple_loss=0.4299, pruned_loss=0.1111, over 13595.00 frames. utt_duration=98.52 frames, utt_pad_proportion=0.07924, over 560.00 utterances.], tot_loss[loss=0.2634, simple_loss=0.3375, pruned_loss=0.09462, over 2788166.71 frames. utt_duration=259.6 frames, utt_pad_proportion=0.06703, over 43204.12 utterances.], batch size: 560, lr: 1.46e-04
+2022-09-19 22:50:26,189 INFO [train.py:885] (0/2) Epoch 32, batch 8550, loss[loss=0.2405, simple_loss=0.3167, pruned_loss=0.08218, over 14310.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.03817, over 154.00 utterances.], tot_loss[loss=0.2624, simple_loss=0.3368, pruned_loss=0.09398, over 2784299.59 frames. utt_duration=259.5 frames, utt_pad_proportion=0.0666, over 43169.54 utterances.], batch size: 154, lr: 1.46e-04
+2022-09-19 22:50:56,323 INFO [train.py:885] (0/2) Epoch 32, batch 8600, loss[loss=0.2766, simple_loss=0.3575, pruned_loss=0.09786, over 14302.00 frames. utt_duration=344 frames, utt_pad_proportion=0.0418, over 167.00 utterances.], tot_loss[loss=0.2651, simple_loss=0.3396, pruned_loss=0.09528, over 2784368.42 frames. utt_duration=256.3 frames, utt_pad_proportion=0.06666, over 43697.51 utterances.], batch size: 167, lr: 1.46e-04
+2022-09-19 22:51:26,292 INFO [train.py:885] (0/2) Epoch 32, batch 8650, loss[loss=0.4367, simple_loss=0.5158, pruned_loss=0.1788, over 13080.00 frames. utt_duration=81.67 frames, utt_pad_proportion=0.1123, over 653.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3427, pruned_loss=0.09714, over 2785303.92 frames. utt_duration=250.7 frames, utt_pad_proportion=0.06951, over 44704.36 utterances.], batch size: 653, lr: 1.46e-04
+2022-09-19 22:51:55,393 INFO [train.py:885] (0/2) Epoch 32, batch 8700, loss[loss=0.2625, simple_loss=0.3471, pruned_loss=0.08892, over 14329.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03813, over 262.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.3412, pruned_loss=0.09663, over 2781300.98 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07006, over 44629.73 utterances.], batch size: 262, lr: 1.46e-04
+2022-09-19 22:52:25,816 INFO [train.py:885] (0/2) Epoch 32, batch 8750, loss[loss=0.2731, simple_loss=0.3665, pruned_loss=0.08987, over 13947.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05875, over 365.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3439, pruned_loss=0.09805, over 2780291.93 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07193, over 45795.26 utterances.], batch size: 365, lr: 1.46e-04
+2022-09-19 22:52:43,804 INFO [checkpoint.py:75] (0/2) Saving checkpoint to pruned_transducer_stateless5/exp-uk-filtered2/checkpoint-400000.pt
+2022-09-19 22:52:55,674 INFO [train.py:885] (0/2) Epoch 32, batch 8800, loss[loss=0.2702, simple_loss=0.3386, pruned_loss=0.1009, over 14318.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.03724, over 130.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3422, pruned_loss=0.09643, over 2780683.80 frames. utt_duration=245 frames, utt_pad_proportion=0.0724, over 45668.97 utterances.], batch size: 130, lr: 1.46e-04
+2022-09-19 22:53:25,032 INFO [train.py:885] (0/2) Epoch 32, batch 8850, loss[loss=0.2103, simple_loss=0.2765, pruned_loss=0.07209, over 13578.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08192, over 50.00 utterances.], tot_loss[loss=0.2656, simple_loss=0.3404, pruned_loss=0.09542, over 2777538.56 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07092, over 45263.86 utterances.], batch size: 50, lr: 1.46e-04
+2022-09-19 22:53:54,315 INFO [train.py:885] (0/2) Epoch 32, batch 8900, loss[loss=0.2229, simple_loss=0.3142, pruned_loss=0.06584, over 14321.00 frames. utt_duration=407.8 frames, utt_pad_proportion=0.04057, over 141.00 utterances.], tot_loss[loss=0.2656, simple_loss=0.3411, pruned_loss=0.09509, over 2775823.60 frames. utt_duration=243 frames, utt_pad_proportion=0.07303, over 45974.60 utterances.], batch size: 141, lr: 1.46e-04
+2022-09-19 22:54:24,210 INFO [train.py:885] (0/2) Epoch 32, batch 8950, loss[loss=0.2392, simple_loss=0.3226, pruned_loss=0.07788, over 14286.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.03905, over 130.00 utterances.], tot_loss[loss=0.2649, simple_loss=0.3409, pruned_loss=0.09447, over 2779338.31 frames. utt_duration=244 frames, utt_pad_proportion=0.07086, over 45847.64 utterances.], batch size: 130, lr: 1.46e-04
+2022-09-19 22:54:53,971 INFO [train.py:885] (0/2) Epoch 32, batch 9000, loss[loss=0.2532, simple_loss=0.34, pruned_loss=0.0832, over 14339.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03632, over 195.00 utterances.], tot_loss[loss=0.2624, simple_loss=0.3388, pruned_loss=0.09303, over 2780549.57 frames. utt_duration=247.1 frames, utt_pad_proportion=0.06906, over 45287.73 utterances.], batch size: 195, lr: 1.46e-04
+2022-09-19 22:54:53,973 INFO [train.py:905] (0/2) Computing validation loss
+2022-09-19 22:54:58,299 INFO [train.py:914] (0/2) Epoch 32, validation: loss=0.1893, simple_loss=0.2679, pruned_loss=0.05533, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 22:55:28,500 INFO [train.py:885] (0/2) Epoch 32, batch 9050, loss[loss=0.1605, simple_loss=0.2268, pruned_loss=0.0471, over 12460.00 frames. utt_duration=2078 frames, utt_pad_proportion=0.1607, over 24.00 utterances.], tot_loss[loss=0.2631, simple_loss=0.3388, pruned_loss=0.09375, over 2775159.19 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07125, over 44716.64 utterances.], batch size: 24, lr: 1.46e-04
+2022-09-19 22:55:58,392 INFO [train.py:885] (0/2) Epoch 32, batch 9100, loss[loss=0.421, simple_loss=0.5035, pruned_loss=0.1692, over 13162.00 frames. utt_duration=82.11 frames, utt_pad_proportion=0.1074, over 653.00 utterances.], tot_loss[loss=0.2655, simple_loss=0.3411, pruned_loss=0.09494, over 2774496.36 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07306, over 45965.86 utterances.], batch size: 653, lr: 1.46e-04
+2022-09-19 22:56:28,527 INFO [train.py:885] (0/2) Epoch 32, batch 9150, loss[loss=0.2703, simple_loss=0.3507, pruned_loss=0.09495, over 14266.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04104, over 225.00 utterances.], tot_loss[loss=0.2666, simple_loss=0.3421, pruned_loss=0.09557, over 2775362.28 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07307, over 46178.06 utterances.], batch size: 225, lr: 1.46e-04
+2022-09-19 22:56:58,377 INFO [train.py:885] (0/2) Epoch 32, batch 9200, loss[loss=0.1988, simple_loss=0.2614, pruned_loss=0.06812, over 14096.00 frames. utt_duration=576.9 frames, utt_pad_proportion=0.05271, over 98.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.3425, pruned_loss=0.0957, over 2773897.06 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07486, over 47179.11 utterances.], batch size: 98, lr: 1.46e-04
+2022-09-19 22:57:28,121 INFO [train.py:885] (0/2) Epoch 32, batch 9250, loss[loss=0.1329, simple_loss=0.1899, pruned_loss=0.03796, over 13190.00 frames. utt_duration=1600 frames, utt_pad_proportion=0.1079, over 33.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3437, pruned_loss=0.09693, over 2779552.07 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07255, over 47090.85 utterances.], batch size: 33, lr: 1.46e-04
+2022-09-19 22:57:58,219 INFO [train.py:885] (0/2) Epoch 32, batch 9300, loss[loss=0.2706, simple_loss=0.3652, pruned_loss=0.08798, over 13980.00 frames. utt_duration=153.9 frames, utt_pad_proportion=0.05608, over 367.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3428, pruned_loss=0.09634, over 2780425.56 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07303, over 46651.56 utterances.], batch size: 367, lr: 1.46e-04
+2022-09-19 22:58:28,379 INFO [train.py:885] (0/2) Epoch 32, batch 9350, loss[loss=0.3004, simple_loss=0.3585, pruned_loss=0.1211, over 14283.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04029, over 180.00 utterances.], tot_loss[loss=0.2661, simple_loss=0.3411, pruned_loss=0.0956, over 2783764.38 frames. utt_duration=247 frames, utt_pad_proportion=0.07225, over 45347.45 utterances.], batch size: 180, lr: 1.46e-04
+2022-09-19 22:58:57,868 INFO [train.py:885] (0/2) Epoch 32, batch 9400, loss[loss=0.2957, simple_loss=0.3498, pruned_loss=0.1208, over 14314.00 frames. utt_duration=478.5 frames, utt_pad_proportion=0.03916, over 120.00 utterances.], tot_loss[loss=0.2635, simple_loss=0.3379, pruned_loss=0.09456, over 2780299.83 frames. utt_duration=255 frames, utt_pad_proportion=0.07223, over 43861.70 utterances.], batch size: 120, lr: 1.46e-04
+2022-09-19 22:59:27,710 INFO [train.py:885] (0/2) Epoch 32, batch 9450, loss[loss=0.2202, simple_loss=0.2938, pruned_loss=0.07332, over 14288.00 frames. utt_duration=477.9 frames, utt_pad_proportion=0.04043, over 120.00 utterances.], tot_loss[loss=0.2662, simple_loss=0.3405, pruned_loss=0.09595, over 2778577.03 frames. utt_duration=250.3 frames, utt_pad_proportion=0.0732, over 44676.60 utterances.], batch size: 120, lr: 1.46e-04
+2022-09-19 22:59:58,075 INFO [train.py:885] (0/2) Epoch 32, batch 9500, loss[loss=0.3099, simple_loss=0.3826, pruned_loss=0.1186, over 14296.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04045, over 262.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3458, pruned_loss=0.09792, over 2775720.32 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07523, over 47183.67 utterances.], batch size: 262, lr: 1.46e-04
+2022-09-19 23:00:28,319 INFO [train.py:885] (0/2) Epoch 32, batch 9550, loss[loss=0.3132, simple_loss=0.3803, pruned_loss=0.1231, over 14430.00 frames. utt_duration=296 frames, utt_pad_proportion=0.0326, over 196.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3475, pruned_loss=0.0984, over 2770610.85 frames. utt_duration=232.6 frames, utt_pad_proportion=0.0759, over 47958.61 utterances.], batch size: 196, lr: 1.46e-04
+2022-09-19 23:00:57,920 INFO [train.py:885] (0/2) Epoch 32, batch 9600, loss[loss=0.2576, simple_loss=0.3478, pruned_loss=0.08368, over 14306.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03845, over 180.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3454, pruned_loss=0.09752, over 2771453.19 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07502, over 46939.23 utterances.], batch size: 180, lr: 1.46e-04
+2022-09-19 23:01:28,169 INFO [train.py:885] (0/2) Epoch 32, batch 9650, loss[loss=0.2147, simple_loss=0.2747, pruned_loss=0.07729, over 13587.00 frames. utt_duration=1089 frames, utt_pad_proportion=0.0814, over 50.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3444, pruned_loss=0.09737, over 2770156.96 frames. utt_duration=238.8 frames, utt_pad_proportion=0.075, over 46691.03 utterances.], batch size: 50, lr: 1.46e-04
+2022-09-19 23:01:57,289 INFO [train.py:885] (0/2) Epoch 32, batch 9700, loss[loss=0.1758, simple_loss=0.2359, pruned_loss=0.05785, over 13793.00 frames. utt_duration=921 frames, utt_pad_proportion=0.07162, over 60.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3438, pruned_loss=0.09718, over 2776734.42 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07401, over 46122.68 utterances.], batch size: 60, lr: 1.46e-04
+2022-09-19 23:02:27,348 INFO [train.py:885] (0/2) Epoch 32, batch 9750, loss[loss=0.4207, simple_loss=0.5345, pruned_loss=0.1535, over 12431.00 frames. utt_duration=62.94 frames, utt_pad_proportion=0.1495, over 810.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3465, pruned_loss=0.09807, over 2771554.68 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07679, over 47814.26 utterances.], batch size: 810, lr: 1.46e-04
+2022-09-19 23:02:56,911 INFO [train.py:885] (0/2) Epoch 32, batch 9800, loss[loss=0.3248, simple_loss=0.4061, pruned_loss=0.1218, over 13991.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05641, over 365.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3464, pruned_loss=0.09747, over 2772842.88 frames. utt_duration=234 frames, utt_pad_proportion=0.07645, over 47696.87 utterances.], batch size: 365, lr: 1.46e-04
+2022-09-19 23:03:27,535 INFO [train.py:885] (0/2) Epoch 32, batch 9850, loss[loss=0.317, simple_loss=0.3834, pruned_loss=0.1253, over 14191.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04522, over 306.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3474, pruned_loss=0.09872, over 2773431.22 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07705, over 47662.69 utterances.], batch size: 306, lr: 1.46e-04
+2022-09-19 23:03:56,367 INFO [train.py:885] (0/2) Epoch 32, batch 9900, loss[loss=0.2125, simple_loss=0.2959, pruned_loss=0.06453, over 14129.00 frames. utt_duration=578.2 frames, utt_pad_proportion=0.0506, over 98.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3431, pruned_loss=0.09688, over 2774624.32 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07468, over 45923.77 utterances.], batch size: 98, lr: 1.46e-04
+2022-09-19 23:04:27,037 INFO [train.py:885] (0/2) Epoch 32, batch 9950, loss[loss=0.316, simple_loss=0.4276, pruned_loss=0.1022, over 13637.00 frames. utt_duration=98.76 frames, utt_pad_proportion=0.07699, over 560.00 utterances.], tot_loss[loss=0.2673, simple_loss=0.3424, pruned_loss=0.09612, over 2779316.86 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07279, over 45829.07 utterances.], batch size: 560, lr: 1.46e-04
+2022-09-19 23:04:28,548 INFO [utils.py:968] (0/2) Saving batch to pruned_transducer_stateless5/exp-uk-filtered2/batch-7aeff54e-808c-46a6-1f49-2fba47a1fca7.pt
+2022-09-19 23:04:28,569 INFO [utils.py:974] (0/2) features shape: torch.Size([79, 755, 80])
+2022-09-19 23:04:28,572 INFO [utils.py:978] (0/2) num tokens: 2777