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--- |
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language: |
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- zh |
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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: openai/whisper-small |
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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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# openai/whisper-small |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the pphuc25/ChiMed dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1603 |
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- Wer: 84.4794 |
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- Cer: 25.0446 |
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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: 0.0001 |
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
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| 0.6517 | 1.0 | 161 | 0.8312 | 272.4951 | 128.1194 | |
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| 0.3421 | 2.0 | 322 | 0.7985 | 171.1198 | 63.7478 | |
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| 0.2206 | 3.0 | 483 | 0.9271 | 152.0629 | 59.8039 | |
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| 0.103 | 4.0 | 644 | 1.0397 | 85.2652 | 28.4091 | |
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| 0.0834 | 5.0 | 805 | 1.0335 | 92.7308 | 26.6266 | |
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| 0.0578 | 6.0 | 966 | 1.0893 | 86.2475 | 28.6319 | |
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| 0.0617 | 7.0 | 1127 | 1.1243 | 88.2122 | 28.0303 | |
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| 0.0407 | 8.0 | 1288 | 1.1577 | 84.6758 | 28.6988 | |
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| 0.032 | 9.0 | 1449 | 1.1847 | 83.3006 | 26.7157 | |
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| 0.0223 | 10.0 | 1610 | 1.1404 | 94.1061 | 32.5980 | |
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| 0.0144 | 11.0 | 1771 | 1.1927 | 88.0157 | 28.3645 | |
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| 0.0087 | 12.0 | 1932 | 1.1309 | 88.4086 | 26.4483 | |
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| 0.0126 | 13.0 | 2093 | 1.1613 | 84.0864 | 25.5570 | |
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| 0.0047 | 14.0 | 2254 | 1.1863 | 86.4440 | 25.7353 | |
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| 0.0061 | 15.0 | 2415 | 1.1674 | 83.6935 | 27.0276 | |
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| 0.0013 | 16.0 | 2576 | 1.1762 | 83.4971 | 25.2005 | |
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| 0.0007 | 17.0 | 2737 | 1.1697 | 84.8723 | 25.4679 | |
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| 0.0006 | 18.0 | 2898 | 1.1614 | 83.8900 | 25.2897 | |
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| 0.0002 | 19.0 | 3059 | 1.1597 | 84.4794 | 25.0446 | |
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| 0.0002 | 20.0 | 3220 | 1.1603 | 84.4794 | 25.0446 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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