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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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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: 1.3249 |
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- Cer: 27.8520 |
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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 | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.776 | 1.0 | 161 | 0.9761 | 346.2567 | |
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| 0.4431 | 2.0 | 322 | 0.9469 | 55.4813 | |
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| 0.2522 | 3.0 | 483 | 1.1108 | 47.6381 | |
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| 0.1548 | 4.0 | 644 | 1.1770 | 33.2219 | |
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| 0.1216 | 5.0 | 805 | 1.2831 | 34.9822 | |
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| 0.0914 | 6.0 | 966 | 1.2727 | 31.5285 | |
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| 0.0799 | 7.0 | 1127 | 1.2785 | 33.9795 | |
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| 0.0503 | 8.0 | 1288 | 1.3214 | 41.1542 | |
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| 0.0577 | 9.0 | 1449 | 1.3421 | 31.4394 | |
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| 0.0316 | 10.0 | 1610 | 1.3284 | 35.1381 | |
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| 0.0249 | 11.0 | 1771 | 1.3602 | 30.2139 | |
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| 0.0245 | 12.0 | 1932 | 1.3494 | 32.3752 | |
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| 0.0199 | 13.0 | 2093 | 1.3304 | 30.7041 | |
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| 0.0126 | 14.0 | 2254 | 1.3625 | 30.6818 | |
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| 0.0039 | 15.0 | 2415 | 1.3302 | 29.3895 | |
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| 0.003 | 16.0 | 2576 | 1.3131 | 29.1444 | |
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| 0.0003 | 17.0 | 2737 | 1.3168 | 28.3422 | |
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| 0.0003 | 18.0 | 2898 | 1.3202 | 28.0526 | |
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| 0.0007 | 19.0 | 3059 | 1.3235 | 27.9857 | |
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| 0.0003 | 20.0 | 3220 | 1.3249 | 27.8520 | |
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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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