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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: Whisper Small Fr - IMT Atlantique X 52 Hertz Full |
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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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# Whisper Small Fr - IMT Atlantique X 52 Hertz Full |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the FullDatabase dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6708 |
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- Wer: 0.3327 |
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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: 0.001 |
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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: 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: linear |
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- num_epochs: 3 |
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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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| 1.3574 | 0.4762 | 20 | 1.4124 | 0.3671 | |
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| 1.1555 | 0.9524 | 40 | 1.1674 | 0.3728 | |
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| 0.7839 | 1.4286 | 60 | 0.7497 | 0.3231 | |
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| 0.4459 | 1.9048 | 80 | 0.6860 | 0.3614 | |
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| 0.533 | 2.3810 | 100 | 0.6819 | 0.3461 | |
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| 0.2029 | 2.8571 | 120 | 0.6708 | 0.3327 | |
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### Framework versions |
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- PEFT 0.18.0 |
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- Transformers 4.57.3 |
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- Pytorch 2.9.0+cu126 |
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- Datasets 4.4.1 |
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- Tokenizers 0.22.1 |
