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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-large-v3 |
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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 large v3 FR D&D - Joey Martig |
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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 large v3 FR D&D - Joey Martig |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co./openai/whisper-large-v3) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0117 |
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- Wer: 33.4454 |
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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-05 |
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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: 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: 50 |
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- num_epochs: 10 |
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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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| No log | 1.0 | 7 | 0.9825 | 38.1513 | |
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| No log | 2.0 | 14 | 0.7112 | 35.7143 | |
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| No log | 3.0 | 21 | 0.4668 | 68.2353 | |
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| No log | 4.0 | 28 | 0.2396 | 33.6134 | |
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| No log | 5.0 | 35 | 0.1178 | 33.4454 | |
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| No log | 6.0 | 42 | 0.0526 | 33.4454 | |
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| No log | 7.0 | 49 | 0.0317 | 33.4454 | |
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| No log | 8.0 | 56 | 0.0165 | 33.4454 | |
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| No log | 9.0 | 63 | 0.0133 | 33.4454 | |
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| No log | 10.0 | 70 | 0.0117 | 33.4454 | |
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### Framework versions |
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- Transformers 4.43.0.dev0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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