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--- |
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library_name: peft |
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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-small |
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tags: |
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- base_model:adapter:openai/whisper-small |
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- lora |
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- transformers |
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metrics: |
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- wer |
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model-index: |
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- name: 52Hz Small Fr - IMT Atlantique X 52 Hertz |
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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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# 52Hz Small Fr - IMT Atlantique X 52 Hertz |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Premier dataset organisé de 52 Hertz dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5492 |
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- Wer: 45.9384 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: constant_with_warmup |
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- lr_scheduler_warmup_ratio: 0.1 |
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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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| 1.4736 | 1.0 | 23 | 1.4884 | 104.3417 | |
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| 1.2019 | 2.0 | 46 | 1.1218 | 60.5042 | |
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| 0.8634 | 3.0 | 69 | 0.8382 | 55.7423 | |
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| 0.593 | 4.0 | 92 | 0.6966 | 52.2409 | |
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| 0.4493 | 5.0 | 115 | 0.6234 | 50.8403 | |
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| 0.3896 | 6.0 | 138 | 0.5908 | 50.2801 | |
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| 0.3281 | 7.0 | 161 | 0.5737 | 47.6190 | |
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| 0.2867 | 8.0 | 184 | 0.5482 | 50.5602 | |
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| 0.2528 | 9.0 | 207 | 0.5397 | 47.1989 | |
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| 0.2379 | 10.0 | 230 | 0.5455 | 47.4790 | |
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| 0.1741 | 11.0 | 253 | 0.5469 | 47.1989 | |
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| 0.1718 | 12.0 | 276 | 0.5458 | 47.1989 | |
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| 0.1213 | 13.0 | 299 | 0.5413 | 45.3782 | |
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| 0.1177 | 14.0 | 322 | 0.5450 | 46.2185 | |
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| 0.0879 | 15.0 | 345 | 0.5492 | 45.9384 | |
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### Framework versions |
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- PEFT 0.18.1 |
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- Transformers 4.57.3 |
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- Pytorch 2.9.1+cu130 |
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- Datasets 4.4.2 |
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- Tokenizers 0.22.2 |
