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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: 0.3100 |
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- Wer: 19.5896 |
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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: 8e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 20 |
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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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| 2.4225 | 1.0 | 21 | 0.9856 | 61.0075 | |
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| 1.1531 | 2.0 | 42 | 0.5645 | 34.5149 | |
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| 0.6599 | 3.0 | 63 | 0.3796 | 29.8507 | |
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| 0.4498 | 4.0 | 84 | 0.3136 | 26.6791 | |
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| 0.3502 | 5.0 | 105 | 0.2993 | 26.6791 | |
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| 0.2559 | 6.0 | 126 | 0.3062 | 25.5597 | |
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| 0.1846 | 7.0 | 147 | 0.2905 | 21.6418 | |
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| 0.1538 | 8.0 | 168 | 0.3110 | 23.6940 | |
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| 0.1498 | 9.0 | 189 | 0.2954 | 21.0821 | |
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| 0.1431 | 10.0 | 210 | 0.2963 | 20.7090 | |
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| 0.0861 | 11.0 | 231 | 0.2945 | 19.5896 | |
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| 0.082 | 12.0 | 252 | 0.3092 | 22.2015 | |
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| 0.0786 | 13.0 | 273 | 0.2977 | 19.0299 | |
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| 0.072 | 14.0 | 294 | 0.2997 | 21.2687 | |
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| 0.0613 | 15.0 | 315 | 0.3030 | 20.3358 | |
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| 0.0489 | 16.0 | 336 | 0.3104 | 20.3358 | |
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| 0.0527 | 17.0 | 357 | 0.3075 | 19.4030 | |
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| 0.052 | 18.0 | 378 | 0.3099 | 19.7761 | |
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| 0.0518 | 19.0 | 399 | 0.3101 | 19.5896 | |
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| 0.0491 | 20.0 | 420 | 0.3100 | 19.5896 | |
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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 |
