End of training
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README.md
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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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_ratio: 0.1
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step
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| 0.5047 | 5.0 | 12500 | 0.9023 |
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### Framework versions
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9134
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## Model description
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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_ratio: 0.1
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- num_epochs: 2
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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 |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.9769 | 1.0 | 2500 | 1.0105 |
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| 0.8011 | 2.0 | 5000 | 0.9134 |
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### Framework versions
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runs/Aug22_17-58-54_4c8bbe3eacd7/events.out.tfevents.1724349534.4c8bbe3eacd7.26.0
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size
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version https://git-lfs.github.com/spec/v1
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size 48520
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