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--- |
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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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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-large-v3-pt-cv16-cuda |
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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 pt |
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type: mozilla-foundation/common_voice_16_0 |
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split: None |
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args: pt |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.9998545572074984 |
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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-pt-cv16-cuda |
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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 mozilla-foundation/common_voice_16_0 pt dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1325 |
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- Wer: 0.9999 |
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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: 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: 2000 |
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- training_steps: 5000 |
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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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| 0.199 | 0.26 | 1000 | 0.1563 | 0.1124 | |
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| 0.1654 | 0.52 | 2000 | 0.1500 | 0.1052 | |
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| 0.1794 | 0.77 | 3000 | 0.1379 | 0.0997 | |
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| 0.0821 | 1.03 | 4000 | 0.1321 | 1.0007 | |
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| 0.1292 | 1.29 | 5000 | 0.1325 | 0.9999 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.2.0.dev20231212 |
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- Datasets 2.15.1.dev0 |
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- Tokenizers 0.15.0 |
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