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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-medium |
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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-medium |
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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-medium |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the pphuc25/FranceMed dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5876 |
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- Wer: 35.7771 |
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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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| 1.0291 | 1.0 | 215 | 1.0037 | 44.2815 | |
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| 0.6067 | 2.0 | 430 | 1.1008 | 35.7038 | |
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| 0.3327 | 3.0 | 645 | 1.1870 | 37.0235 | |
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| 0.1727 | 4.0 | 860 | 1.2912 | 37.5367 | |
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| 0.1213 | 5.0 | 1075 | 1.4015 | 36.7302 | |
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| 0.1029 | 6.0 | 1290 | 1.4085 | 42.7419 | |
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| 0.054 | 7.0 | 1505 | 1.5070 | 37.2434 | |
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| 0.0438 | 8.0 | 1720 | 1.5635 | 37.2434 | |
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| 0.0465 | 9.0 | 1935 | 1.5192 | 51.5396 | |
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| 0.0329 | 10.0 | 2150 | 1.5806 | 39.0029 | |
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| 0.0211 | 11.0 | 2365 | 1.5379 | 34.8974 | |
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| 0.0165 | 12.0 | 2580 | 1.5379 | 40.1026 | |
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| 0.0157 | 13.0 | 2795 | 1.5596 | 37.1701 | |
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| 0.0115 | 14.0 | 3010 | 1.5608 | 36.5836 | |
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| 0.0048 | 15.0 | 3225 | 1.5498 | 35.9238 | |
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| 0.0045 | 16.0 | 3440 | 1.5764 | 36.5836 | |
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| 0.0019 | 17.0 | 3655 | 1.5668 | 35.7771 | |
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| 0.0004 | 18.0 | 3870 | 1.5774 | 35.8504 | |
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| 0.0004 | 19.0 | 4085 | 1.5845 | 35.8504 | |
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| 0.0003 | 20.0 | 4300 | 1.5876 | 35.7771 | |
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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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