End of training

README.md

@@ -1,199 +1,100 @@
 ---
 library_name: transformers
-tags: []
+license: apache-2.0
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: wav2vec2-ehf-test
+  results: []
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
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-## Model Details
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-### Model Description
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-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# wav2vec2-ehf-test
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0648
+- Wer: 0.1661
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|
+| 5.3431        | 0.7812  | 250  | 3.0217          | 1.0    |
+| 2.9086        | 1.5625  | 500  | 2.9322          | 1.0    |
+| 2.0836        | 2.3438  | 750  | 0.6583          | 0.5862 |
+| 0.5632        | 3.125   | 1000 | 0.2877          | 0.3624 |
+| 0.3427        | 3.9062  | 1250 | 0.1959          | 0.2823 |
+| 0.2548        | 4.6875  | 1500 | 0.1463          | 0.2464 |
+| 0.217         | 5.4688  | 1750 | 0.1467          | 0.2340 |
+| 0.1769        | 6.25    | 2000 | 0.1217          | 0.2162 |
+| 0.1564        | 7.0312  | 2250 | 0.1100          | 0.2090 |
+| 0.1351        | 7.8125  | 2500 | 0.1062          | 0.2074 |
+| 0.12          | 8.5938  | 2750 | 0.1055          | 0.2022 |
+| 0.1161        | 9.375   | 3000 | 0.1039          | 0.2011 |
+| 0.1085        | 10.1562 | 3250 | 0.0988          | 0.1912 |
+| 0.097         | 10.9375 | 3500 | 0.0931          | 0.1879 |
+| 0.0895        | 11.7188 | 3750 | 0.0873          | 0.1869 |
+| 0.0846        | 12.5    | 4000 | 0.0807          | 0.1846 |
+| 0.0815        | 13.2812 | 4250 | 0.0826          | 0.1836 |
+| 0.0787        | 14.0625 | 4500 | 0.0780          | 0.1798 |
+| 0.0714        | 14.8438 | 4750 | 0.0732          | 0.1774 |
+| 0.0702        | 15.625  | 5000 | 0.0745          | 0.1778 |
+| 0.0637        | 16.4062 | 5250 | 0.0741          | 0.1764 |
+| 0.0608        | 17.1875 | 5500 | 0.0788          | 0.1758 |
+| 0.0575        | 17.9688 | 5750 | 0.0726          | 0.1727 |
+| 0.0529        | 18.75   | 6000 | 0.0727          | 0.1726 |
+| 0.0539        | 19.5312 | 6250 | 0.0704          | 0.1709 |
+| 0.0533        | 20.3125 | 6500 | 0.0683          | 0.1702 |
+| 0.0483        | 21.0938 | 6750 | 0.0643          | 0.1667 |
+| 0.0461        | 21.875  | 7000 | 0.0650          | 0.1696 |
+| 0.0442        | 22.6562 | 7250 | 0.0697          | 0.1687 |
+| 0.042         | 23.4375 | 7500 | 0.0696          | 0.1687 |
+| 0.0389        | 24.2188 | 7750 | 0.0689          | 0.1682 |
+| 0.0402        | 25.0    | 8000 | 0.0702          | 0.1683 |
+| 0.0365        | 25.7812 | 8250 | 0.0709          | 0.1669 |
+| 0.0315        | 26.5625 | 8500 | 0.0695          | 0.1672 |
+| 0.0349        | 27.3438 | 8750 | 0.0667          | 0.1662 |
+| 0.0292        | 28.125  | 9000 | 0.0666          | 0.1669 |
+| 0.0311        | 28.9062 | 9250 | 0.0652          | 0.1666 |
+| 0.0322        | 29.6875 | 9500 | 0.0648          | 0.1661 |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.1.2
+- Datasets 3.0.1
+- Tokenizers 0.20.0

config.json

@@ -0,0 +1,118 @@
+{
+  "_name_or_path": "facebook/wav2vec2-base",
+  "activation_dropout": 0.0,
+  "adapter_attn_dim": null,
+  "adapter_kernel_size": 3,
+  "adapter_stride": 2,
+  "add_adapter": false,
+  "apply_spec_augment": true,
+  "architectures": [
+    "Wav2Vec2ForCTC"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "codevector_dim": 256,
+  "contrastive_logits_temperature": 0.1,
+  "conv_bias": false,
+  "conv_dim": [
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512
+  ],
+  "conv_kernel": [
+    10,
+    3,
+    3,
+    3,
+    3,
+    2,
+    2
+  ],
+  "conv_stride": [
+    5,
+    2,
+    2,
+    2,
+    2,
+    2,
+    2
+  ],
+  "ctc_loss_reduction": "mean",
+  "ctc_zero_infinity": false,
+  "diversity_loss_weight": 0.1,
+  "do_stable_layer_norm": false,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
+  "feat_extract_norm": "group",
+  "feat_proj_dropout": 0.1,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.0,
+  "freeze_feat_extract_train": true,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.0,
+  "mask_channel_length": 10,
+  "mask_channel_min_space": 1,
+  "mask_channel_other": 0.0,
+  "mask_channel_prob": 0.0,
+  "mask_channel_selection": "static",
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_min_space": 1,
+  "mask_time_other": 0.0,
+  "mask_time_prob": 0.05,
+  "mask_time_selection": "static",
+  "model_type": "wav2vec2",
+  "no_mask_channel_overlap": false,
+  "no_mask_time_overlap": false,
+  "num_adapter_layers": 3,
+  "num_attention_heads": 12,
+  "num_codevector_groups": 2,
+  "num_codevectors_per_group": 320,
+  "num_conv_pos_embedding_groups": 16,
+  "num_conv_pos_embeddings": 128,
+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 12,
+  "num_negatives": 100,
+  "output_hidden_size": 768,
+  "pad_token_id": 29,
+  "proj_codevector_dim": 256,
+  "tdnn_dilation": [
+    1,
+    2,
+    3,
+    1,
+    1
+  ],
+  "tdnn_dim": [
+    512,
+    512,
+    512,
+    512,
+    1500
+  ],
+  "tdnn_kernel": [
+    5,
+    3,
+    3,
+    1,
+    1
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.1",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 32,
+  "xvector_output_dim": 512
+}

model.safetensors

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+oid sha256:bb2d967222fba0214c5f692c0fbabf362be2134a746c70dd89ff5621ebbe6b85
+size 377611120

preprocessor_config.json

@@ -0,0 +1,9 @@
+{
+  "do_normalize": true,
+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "return_attention_mask": false,
+  "sampling_rate": 16000
+}

training_args.bin

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+size 5176