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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 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: 0.6664 |
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- Wer: 58.6381 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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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| 5.0278 | 1.0 | 12 | 1.9196 | 763.3039 | |
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| 3.4923 | 2.0 | 24 | 1.4318 | 492.8121 | |
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| 1.9181 | 3.0 | 36 | 1.0781 | 178.0580 | |
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| 1.5961 | 4.0 | 48 | 0.9307 | 100.1261 | |
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| 1.2186 | 5.0 | 60 | 0.8604 | 93.4426 | |
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| 0.9392 | 6.0 | 72 | 0.8176 | 68.8525 | |
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| 0.8361 | 7.0 | 84 | 0.7492 | 38.7137 | |
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| 0.783 | 8.0 | 96 | 0.7197 | 69.2308 | |
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| 0.68 | 9.0 | 108 | 0.6915 | 40.7314 | |
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| 0.6685 | 10.0 | 120 | 0.6762 | 56.3682 | |
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| 0.5406 | 11.0 | 132 | 0.6753 | 63.0517 | |
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| 0.5741 | 12.0 | 144 | 0.6721 | 59.6469 | |
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| 0.5247 | 13.0 | 156 | 0.6677 | 62.9256 | |
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| 0.5278 | 14.0 | 168 | 0.6663 | 62.0429 | |
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| 0.4853 | 15.0 | 180 | 0.6664 | 58.6381 | |
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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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