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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-a-nomimo-17 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# whisper-a-nomimo-17 |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0292 |
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- Wer: 9.7222 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0004 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 132 |
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- num_epochs: 17 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-------:|:----:|:---------------:|:-------:| |
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| 0.9831 | 1.0 | 104 | 0.2031 | 33.0247 | |
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| 0.3134 | 2.0 | 208 | 0.1138 | 87.1142 | |
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| 0.0638 | 3.0 | 312 | 0.0907 | 27.4691 | |
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| 0.0503 | 4.0 | 416 | 0.0745 | 26.4660 | |
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| 0.0592 | 5.0 | 520 | 0.0361 | 25.3858 | |
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| 0.0329 | 6.0 | 624 | 0.0674 | 27.7006 | |
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| 0.0276 | 7.0 | 728 | 0.0524 | 47.0679 | |
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| 0.0322 | 8.0 | 832 | 0.0321 | 12.5 | |
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| 0.015 | 9.0 | 936 | 0.0357 | 13.6574 | |
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| 0.0117 | 10.0 | 1040 | 0.0335 | 10.3395 | |
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| 0.0075 | 11.0 | 1144 | 0.0387 | 12.1914 | |
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| 0.0085 | 12.0 | 1248 | 0.0306 | 9.8765 | |
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| 0.0056 | 13.0 | 1352 | 0.0311 | 9.0278 | |
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| 0.0031 | 14.0 | 1456 | 0.0274 | 8.9506 | |
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| 0.0038 | 15.0 | 1560 | 0.0288 | 9.7222 | |
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| 0.0024 | 16.0 | 1664 | 0.0288 | 9.4136 | |
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| 0.0013 | 16.8406 | 1751 | 0.0292 | 9.7222 | |
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### Framework versions |
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- Transformers 4.47.0 |
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- Pytorch 2.4.0 |
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- Datasets 3.1.0 |
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- Tokenizers 0.21.0 |
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