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--- |
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library_name: transformers |
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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: 52Hz Tiny 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 Tiny Fr - IMT Atlantique X 52 Hertz |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Transcriptions IMTx52Hz v2 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6781 |
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- Wer: 78.6424 |
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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: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: cosine |
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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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| 4.3806 | 1.0 | 21 | 1.7951 | 935.5960 | |
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| 2.2732 | 2.0 | 42 | 1.1379 | 211.4238 | |
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| 1.5989 | 3.0 | 63 | 0.9543 | 159.4371 | |
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| 1.1012 | 4.0 | 84 | 0.8132 | 111.0927 | |
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| 0.9105 | 5.0 | 105 | 0.7807 | 57.7815 | |
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| 0.6273 | 6.0 | 126 | 0.7140 | 88.0795 | |
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| 0.6452 | 7.0 | 147 | 0.7138 | 71.5232 | |
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| 0.5428 | 8.0 | 168 | 0.6825 | 80.9603 | |
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| 0.4051 | 9.0 | 189 | 0.6651 | 79.9669 | |
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| 0.3947 | 10.0 | 210 | 0.6726 | 79.4702 | |
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| 0.3583 | 11.0 | 231 | 0.6810 | 77.1523 | |
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| 0.3139 | 12.0 | 252 | 0.6745 | 77.8146 | |
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| 0.3343 | 13.0 | 273 | 0.6796 | 67.0530 | |
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| 0.3315 | 14.0 | 294 | 0.6787 | 78.8079 | |
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| 0.2934 | 15.0 | 315 | 0.6781 | 78.6424 | |
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### Framework versions |
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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 |
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