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--- |
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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-base |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_16_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Base French |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: mozilla-foundation/common_voice_16_0 fr |
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type: mozilla-foundation/common_voice_16_0 |
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config: fr |
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split: test |
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args: fr |
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metrics: |
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- name: Wer |
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type: wer |
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value: 27.650982108014144 |
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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 Base French |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the mozilla-foundation/common_voice_16_0 fr dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5654 |
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- Wer: 27.6510 |
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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: 1e-06 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 7000 |
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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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| 0.739 | 0.07 | 500 | 0.7506 | 35.0088 | |
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| 0.6131 | 1.07 | 1000 | 0.6595 | 31.4298 | |
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| 0.5311 | 2.07 | 1500 | 0.6301 | 30.6233 | |
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| 0.551 | 3.07 | 2000 | 0.6141 | 29.7819 | |
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| 0.4588 | 4.07 | 2500 | 0.6003 | 29.2527 | |
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| 0.4163 | 5.07 | 3000 | 0.5936 | 29.0292 | |
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| 0.4553 | 6.07 | 3500 | 0.5838 | 28.4799 | |
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| 0.4395 | 7.07 | 4000 | 0.5783 | 28.2488 | |
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| 0.4233 | 8.07 | 4500 | 0.5747 | 28.0779 | |
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| 0.4204 | 9.07 | 5000 | 0.5712 | 28.1122 | |
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| 0.4378 | 10.06 | 5500 | 0.5695 | 28.0578 | |
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| 0.4337 | 11.06 | 6000 | 0.5673 | 27.7817 | |
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| 0.4277 | 12.06 | 6500 | 0.5658 | 27.6634 | |
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| 0.419 | 13.06 | 7000 | 0.5654 | 27.6510 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.2.dev0 |
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- Tokenizers 0.15.0 |
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