End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/wav2vec2-large-xlsr-53
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_13_0
+metrics:
+- wer
+model-index:
+- name: ierg4320_en_test
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_13_0
+      type: common_voice_13_0
+      config: en
+      split: None
+      args: en
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.415272136474411
+---
+
+<!-- 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. -->
+
+# ierg4320_en_test
+
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_13_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9548
+- Wer: 0.4153
+
+## 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: 0.0003
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss | Wer    |
+|:-------------:|:-------:|:-----:|:---------------:|:------:|
+| 5.0982        | 0.6211  | 400   | 2.9438          | 0.9938 |
+| 1.7877        | 1.2422  | 800   | 1.0128          | 0.6645 |
+| 0.8688        | 1.8634  | 1200  | 0.8012          | 0.5662 |
+| 0.6808        | 2.4845  | 1600  | 0.8370          | 0.5366 |
+| 0.6252        | 3.1056  | 2000  | 0.7710          | 0.5063 |
+| 0.5532        | 3.7267  | 2400  | 0.7258          | 0.5041 |
+| 0.5073        | 4.3478  | 2800  | 0.7337          | 0.4864 |
+| 0.4834        | 4.9689  | 3200  | 0.7023          | 0.4777 |
+| 0.4419        | 5.5901  | 3600  | 0.7542          | 0.4708 |
+| 0.4326        | 6.2112  | 4000  | 0.7187          | 0.4647 |
+| 0.4024        | 6.8323  | 4400  | 0.7212          | 0.4671 |
+| 0.3809        | 7.4534  | 4800  | 0.7139          | 0.4582 |
+| 0.3752        | 8.0745  | 5200  | 0.7296          | 0.4512 |
+| 0.337         | 8.6957  | 5600  | 0.7207          | 0.4578 |
+| 0.3305        | 9.3168  | 6000  | 0.7233          | 0.4528 |
+| 0.3329        | 9.9379  | 6400  | 0.7178          | 0.4565 |
+| 0.3047        | 10.5590 | 6800  | 0.7077          | 0.4518 |
+| 0.2957        | 11.1801 | 7200  | 0.7788          | 0.4512 |
+| 0.2913        | 11.8012 | 7600  | 0.7483          | 0.4528 |
+| 0.2685        | 12.4224 | 8000  | 0.7644          | 0.4426 |
+| 0.2666        | 13.0435 | 8400  | 0.7640          | 0.4427 |
+| 0.2495        | 13.6646 | 8800  | 0.7959          | 0.4401 |
+| 0.2501        | 14.2857 | 9200  | 0.7978          | 0.4494 |
+| 0.2369        | 14.9068 | 9600  | 0.8217          | 0.4403 |
+| 0.2282        | 15.5280 | 10000 | 0.8052          | 0.4359 |
+| 0.2293        | 16.1491 | 10400 | 0.8688          | 0.4357 |
+| 0.2165        | 16.7702 | 10800 | 0.8566          | 0.4385 |
+| 0.2067        | 17.3913 | 11200 | 0.8504          | 0.4307 |
+| 0.2034        | 18.0124 | 11600 | 0.8358          | 0.4346 |
+| 0.1963        | 18.6335 | 12000 | 0.8729          | 0.4307 |
+| 0.1846        | 19.2547 | 12400 | 0.8562          | 0.4349 |
+| 0.189         | 19.8758 | 12800 | 0.8408          | 0.4266 |
+| 0.1787        | 20.4969 | 13200 | 0.8424          | 0.4288 |
+| 0.1757        | 21.1180 | 13600 | 0.8947          | 0.4327 |
+| 0.1691        | 21.7391 | 14000 | 0.9070          | 0.4291 |
+| 0.1652        | 22.3602 | 14400 | 0.8735          | 0.4299 |
+| 0.1619        | 22.9814 | 14800 | 0.9224          | 0.4315 |
+| 0.1544        | 23.6025 | 15200 | 0.9199          | 0.4278 |
+| 0.1551        | 24.2236 | 15600 | 0.9089          | 0.4240 |
+| 0.1449        | 24.8447 | 16000 | 0.9296          | 0.4229 |
+| 0.1465        | 25.4658 | 16400 | 0.9476          | 0.4198 |
+| 0.1434        | 26.0870 | 16800 | 0.9167          | 0.4193 |
+| 0.1431        | 26.7081 | 17200 | 0.9492          | 0.4141 |
+| 0.1335        | 27.3292 | 17600 | 0.9597          | 0.4185 |
+| 0.1326        | 27.9503 | 18000 | 0.9516          | 0.4156 |
+| 0.1333        | 28.5714 | 18400 | 0.9490          | 0.4153 |
+| 0.1293        | 29.1925 | 18800 | 0.9605          | 0.4172 |
+| 0.1257        | 29.8137 | 19200 | 0.9548          | 0.4153 |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1.post302
+- Datasets 3.1.0
+- Tokenizers 0.20.4

added_tokens.json

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+{
+  "</s>": 49,
+  "<s>": 48
+}

config.json

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+{
+  "_name_or_path": "facebook/wav2vec2-large-xlsr-53",
+  "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": 768,
+  "contrastive_logits_temperature": 0.1,
+  "conv_bias": true,
+  "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": true,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
+  "feat_extract_dropout": 0.0,
+  "feat_extract_norm": "layer",
+  "feat_proj_dropout": 0.0,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.0,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.1,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.1,
+  "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",
+  "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": 47,
+  "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": "4.46.3",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 50,
+  "xvector_output_dim": 512
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:bbb5c41dcc9d4c0d9869ec131d9f0f3321b46da7c61cd2b1cc6690b82893c23e
+size 1262012480

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "processor_class": "Wav2Vec2Processor",
+  "return_attention_mask": true,
+  "sampling_rate": 16000
+}

special_tokens_map.json

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+{
+  "bos_token": "<s>",
+  "eos_token": "</s>",
+  "pad_token": "[PAD]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "46": {
+      "content": "[UNK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": false
+    },
+    "47": {
+      "content": "[PAD]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": false
+    },
+    "48": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "49": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "do_lower_case": false,
+  "eos_token": "</s>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "processor_class": "Wav2Vec2Processor",
+  "replace_word_delimiter_char": " ",
+  "target_lang": null,
+  "tokenizer_class": "Wav2Vec2CTCTokenizer",
+  "unk_token": "[UNK]",
+  "word_delimiter_token": "|"
+}

training_args.bin

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+oid sha256:aa9da27149af645020abc3822885e386763f214d71f789340f59e7d857d2d3ce
+size 5304

vocab.json

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+{
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+  "(": 37,
+  ")": 15,
+  "/": 40,
+  "[PAD]": 47,
+  "[UNK]": 46,
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+  "b": 12,
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+  "—": 45,
+  "’": 36
+}