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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 |
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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 |
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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: 0.0351 |
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- Wer: 22.9167 |
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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: 15 |
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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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| 0.9699 | 0.9662 | 100 | 0.1287 | 46.6821 | |
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| 0.1644 | 1.9275 | 200 | 0.1624 | 445.0617 | |
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| 0.236 | 2.8889 | 300 | 0.0895 | 23.1481 | |
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| 0.0518 | 3.8502 | 400 | 0.0479 | 18.4414 | |
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| 0.0321 | 4.8116 | 500 | 0.0426 | 14.8148 | |
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| 0.03 | 5.7729 | 600 | 0.0482 | 19.4444 | |
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| 0.0218 | 6.7343 | 700 | 0.0325 | 11.6512 | |
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| 0.0143 | 7.6957 | 800 | 0.0439 | 15.2778 | |
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| 0.0147 | 8.6570 | 900 | 0.0339 | 11.9599 | |
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| 0.0104 | 9.6184 | 1000 | 0.0391 | 14.5833 | |
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| 0.0079 | 10.5797 | 1100 | 0.0338 | 33.9506 | |
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| 0.0054 | 11.5411 | 1200 | 0.0293 | 20.4475 | |
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| 0.0032 | 12.5024 | 1300 | 0.0357 | 14.3519 | |
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| 0.002 | 13.4638 | 1400 | 0.0327 | 18.0556 | |
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| 0.0023 | 14.4251 | 1500 | 0.0351 | 22.9167 | |
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### Framework versions |
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- Transformers 4.47.0.dev0 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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