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--- |
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license: mit |
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base_model: bofenghuang/whisper-large-v3-french-distil-dec16 |
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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: whisper |
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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 |
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This model is a fine-tuned version of [bofenghuang/whisper-large-v3-french-distil-dec16](https://huggingface.co/bofenghuang/whisper-large-v3-french-distil-dec16) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1122 |
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- Wer: 5.3589 |
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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-06 |
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- train_batch_size: 8 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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: 20 |
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- training_steps: 200 |
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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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| 0.4042 | 0.38 | 20 | 0.2881 | 4.5501 | |
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| 0.3463 | 0.77 | 40 | 0.2060 | 4.3478 | |
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| 0.125 | 1.15 | 60 | 0.1498 | 4.7523 | |
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| 0.0606 | 1.54 | 80 | 0.1154 | 4.3478 | |
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| 0.0884 | 1.92 | 100 | 0.1026 | 4.8534 | |
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| 0.0189 | 2.31 | 120 | 0.0995 | 4.8534 | |
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| 0.0235 | 2.69 | 140 | 0.1085 | 4.6512 | |
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| 0.0126 | 3.08 | 160 | 0.1100 | 4.6512 | |
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| 0.0096 | 3.46 | 180 | 0.1114 | 5.2578 | |
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| 0.0214 | 3.85 | 200 | 0.1122 | 5.3589 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.1 |
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