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--- |
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language: |
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- fr |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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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-tiny |
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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-tiny |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the pphuc25/FrenchMed dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9773 |
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- Wer: 57.9179 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.4539 | 1.0 | 215 | 1.4469 | 192.2287 | |
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| 0.9269 | 2.0 | 430 | 1.4258 | 127.1994 | |
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| 0.5316 | 3.0 | 645 | 1.5228 | 66.6422 | |
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| 0.3295 | 4.0 | 860 | 1.6796 | 60.4839 | |
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| 0.212 | 5.0 | 1075 | 1.7495 | 73.7537 | |
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| 0.1228 | 6.0 | 1290 | 1.8167 | 78.9589 | |
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| 0.0766 | 7.0 | 1505 | 1.8370 | 80.0587 | |
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| 0.0617 | 8.0 | 1720 | 1.8817 | 61.1437 | |
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| 0.0575 | 9.0 | 1935 | 1.9629 | 88.0499 | |
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| 0.0319 | 10.0 | 2150 | 1.9228 | 58.3578 | |
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| 0.0266 | 11.0 | 2365 | 1.9362 | 57.1848 | |
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| 0.0143 | 12.0 | 2580 | 1.9740 | 57.1848 | |
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| 0.0124 | 13.0 | 2795 | 1.9917 | 86.9501 | |
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| 0.0109 | 14.0 | 3010 | 1.9632 | 56.5982 | |
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| 0.0087 | 15.0 | 3225 | 1.9501 | 60.8504 | |
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| 0.0048 | 16.0 | 3440 | 1.9785 | 55.7918 | |
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| 0.0034 | 17.0 | 3655 | 1.9765 | 58.6510 | |
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| 0.0021 | 18.0 | 3870 | 1.9765 | 56.8915 | |
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| 0.0007 | 19.0 | 4085 | 1.9737 | 58.3578 | |
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| 0.0007 | 20.0 | 4300 | 1.9773 | 57.9179 | |
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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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