End of training

README.md

@@ -1,199 +1,103 @@
 ---
 library_name: transformers
-tags: []
+license: apache-2.0
+base_model: facebook/wav2vec2-large
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: wav2vec-large-en
+  results: []
 ---
 
-# Model Card for Model ID
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-<!-- 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. -->
+
+# wav2vec-large-en
+
+This model is a fine-tuned version of [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 7.2821
+- Wer: 1.0
+
+## 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
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer |
+|:-------------:|:-------:|:----:|:---------------:|:---:|
+| 6.0558        | 0.7042  | 100  | 7.1035          | 1.0 |
+| 5.3678        | 1.4085  | 200  | 7.4719          | 1.0 |
+| 5.2548        | 2.1127  | 300  | 7.3891          | 1.0 |
+| 5.1982        | 2.8169  | 400  | 7.2118          | 1.0 |
+| 5.1951        | 3.5211  | 500  | 7.0877          | 1.0 |
+| 5.1829        | 4.2254  | 600  | 7.2987          | 1.0 |
+| 5.1937        | 4.9296  | 700  | 7.3988          | 1.0 |
+| 5.1905        | 5.6338  | 800  | 7.3964          | 1.0 |
+| 5.2445        | 6.3380  | 900  | 7.2698          | 1.0 |
+| 5.139         | 7.0423  | 1000 | 7.1558          | 1.0 |
+| 5.1925        | 7.7465  | 1100 | 7.2421          | 1.0 |
+| 5.2231        | 8.4507  | 1200 | 7.2611          | 1.0 |
+| 5.2901        | 9.1549  | 1300 | 7.3504          | 1.0 |
+| 5.0849        | 9.8592  | 1400 | 7.3211          | 1.0 |
+| 5.3853        | 10.5634 | 1500 | 7.1273          | 1.0 |
+| 5.2707        | 11.2676 | 1600 | 7.2369          | 1.0 |
+| 5.1156        | 11.9718 | 1700 | 7.3677          | 1.0 |
+| 5.1589        | 12.6761 | 1800 | 7.3260          | 1.0 |
+| 5.1839        | 13.3803 | 1900 | 7.2956          | 1.0 |
+| 5.3138        | 14.0845 | 2000 | 7.1808          | 1.0 |
+| 5.2344        | 14.7887 | 2100 | 7.2265          | 1.0 |
+| 5.1787        | 15.4930 | 2200 | 7.3030          | 1.0 |
+| 5.1879        | 16.1972 | 2300 | 7.2975          | 1.0 |
+| 5.106         | 16.9014 | 2400 | 7.2839          | 1.0 |
+| 5.3462        | 17.6056 | 2500 | 7.2212          | 1.0 |
+| 5.0687        | 18.3099 | 2600 | 7.2478          | 1.0 |
+| 5.1134        | 19.0141 | 2700 | 7.2222          | 1.0 |
+| 5.1133        | 19.7183 | 2800 | 7.3043          | 1.0 |
+| 5.2053        | 20.4225 | 2900 | 7.3150          | 1.0 |
+| 5.205         | 21.1268 | 3000 | 7.2460          | 1.0 |
+| 5.2558        | 21.8310 | 3100 | 7.2312          | 1.0 |
+| 5.215         | 22.5352 | 3200 | 7.2725          | 1.0 |
+| 5.1499        | 23.2394 | 3300 | 7.2609          | 1.0 |
+| 5.152         | 23.9437 | 3400 | 7.3052          | 1.0 |
+| 5.2532        | 24.6479 | 3500 | 7.2958          | 1.0 |
+| 5.3097        | 25.3521 | 3600 | 7.2818          | 1.0 |
+| 5.1221        | 26.0563 | 3700 | 7.2260          | 1.0 |
+| 5.2023        | 26.7606 | 3800 | 7.2648          | 1.0 |
+| 5.1029        | 27.4648 | 3900 | 7.2708          | 1.0 |
+| 5.085         | 28.1690 | 4000 | 7.2965          | 1.0 |
+| 5.2273        | 28.8732 | 4100 | 7.2845          | 1.0 |
+| 5.2394        | 29.5775 | 4200 | 7.2821          | 1.0 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,110 @@
+{
+  "_name_or_path": "facebook/wav2vec2-large",
+  "activation_dropout": 0.1,
+  "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": 768,
+  "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_dropout": 0.0,
+  "feat_extract_norm": "group",
+  "feat_proj_dropout": 0.1,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.1,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.1,
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.1,
+  "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_prob": 0.05,
+  "model_type": "wav2vec2",
+  "num_adapter_layers": 3,
+  "num_attention_heads": 16,
+  "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": 24,
+  "num_negatives": 100,
+  "output_hidden_size": 1024,
+  "pad_token_id": 30,
+  "proj_codevector_dim": 768,
+  "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": "4.44.2",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 32,
+  "xvector_output_dim": 512
+}

model.safetensors

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+oid sha256:c02145024ac1bb6b820b68177edb8de83cd1a60ed21e300be8f7c646e4b69274
+size 1261897368

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
+}

runs/Nov12_04-00-23_fc83ae7a2740/events.out.tfevents.1731384421.fc83ae7a2740.4459.0

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training_args.bin

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