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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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tags: |
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- generated_from_trainer |
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datasets: |
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- facebook/voxpopuli |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-large-v2-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: VOXPOPULI |
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type: facebook/voxpopuli |
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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: 0.10414829788606697 |
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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-v2-french |
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the VOXPOPULI dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2468 |
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- Wer Ortho: 0.1405 |
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- Wer: 0.1041 |
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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: 2e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant_with_warmup |
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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
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| 0.1851 | 1.0 | 2207 | 0.2349 | 0.1399 | 0.1044 | |
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| 0.1318 | 2.0 | 4415 | 0.2312 | 0.1377 | 0.1015 | |
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| 0.0921 | 3.0 | 6621 | 0.2468 | 0.1405 | 0.1041 | |
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### Framework versions |
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- Transformers 4.30.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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