decoding_results/streaming/greedy_search/log-decode-epoch-29-avg-1-streaming-chunk-size-8-left-context-32-right-context-2-use-averaged-model-2022-06-07-15-49-14

2022-06-07 15:49:14,017 INFO [streaming_decode.py:645] Decoding started
2022-06-07 15:49:14,017 INFO [streaming_decode.py:651] Device: cuda:0
2022-06-07 15:49:14,020 INFO [streaming_decode.py:663] {'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, 'encoder_dim': 512, 'nhead': 8, 'dim_feedforward': 2048, 'num_encoder_layers': 12, 'decoder_dim': 512, 'joiner_dim': 512, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f8d2dba06c000ffee36aab5b66f24e7c9809f116', 'k2-git-date': 'Thu Apr 21 12:20:34 2022', 'lhotse-version': '1.1.0', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'streaming-conformer', 'icefall-git-sha1': 'd7be9bd-dirty', 'icefall-git-date': 'Tue Jun 7 12:00:26 2022', 'icefall-path': '/ceph-kw/kangwei/code/icefall_reworked2', 'k2-path': '/ceph-hw/kangwei/code/k2_release/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-hw/kangwei/dev_tools/anaconda3/envs/rnnt2/lib/python3.8/site-packages/lhotse-1.1.0-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-3-0602204318-5799c545db-hhjfr', 'IP address': '10.177.24.137'}, 'epoch': 29, 'iter': 0, 'avg': 1, 'use_averaged_model': True, 'exp_dir': PosixPath('streaming_pruned_transducer_stateless4/exp'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'decoding_method': 'greedy_search', 'beam': 4, 'max_contexts': 4, 'max_states': 32, 'context_size': 2, 'dynamic_chunk_training': False, 'short_chunk_size': 25, 'num_left_chunks': 4, 'decode_chunk_size': 8, 'left_context': 32, 'right_context': 2, 'num_decode_streams': 100, 'full_libri': True, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 200.0, 'bucketing_sampler': True, 'num_buckets': 30, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'res_dir': PosixPath('streaming_pruned_transducer_stateless4/exp/streaming/greedy_search'), 'suffix': 'epoch-29-avg-1-streaming-chunk-size-8-left-context-32-right-context-2-use-averaged-model', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 500, 'causal_convolution': True}
2022-06-07 15:49:14,020 INFO [streaming_decode.py:665] About to create model
2022-06-07 15:49:14,409 INFO [streaming_decode.py:732] Calculating the averaged model over epoch range from 28 (excluded) to 29
2022-06-07 15:49:27,058 INFO [streaming_decode.py:754] Number of model parameters: 78648040
2022-06-07 15:49:27,058 INFO [asr_datamodule.py:422] About to get test-clean cuts
2022-06-07 15:49:27,258 INFO [asr_datamodule.py:427] About to get test-other cuts
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2022-06-07 15:50:17,665 INFO [streaming_decode.py:580] The transcripts are stored in streaming_pruned_transducer_stateless4/exp/streaming/greedy_search/recogs-test-clean-greedy_search-epoch-29-avg-1-streaming-chunk-size-8-left-context-32-right-context-2-use-averaged-model.txt
2022-06-07 15:50:17,734 INFO [utils.py:405] [test-clean-greedy_search] %WER 3.71% [1953 / 52576, 184 ins, 225 del, 1544 sub ]
2022-06-07 15:50:17,926 INFO [streaming_decode.py:593] Wrote detailed error stats to streaming_pruned_transducer_stateless4/exp/streaming/greedy_search/errs-test-clean-greedy_search-epoch-29-avg-1-streaming-chunk-size-8-left-context-32-right-context-2-use-averaged-model.txt
2022-06-07 15:50:17,926 INFO [streaming_decode.py:610] 
For test-clean, WER of different settings are:
greedy_search	3.71	best for test-clean

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