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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 tutorial Voice 11.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer:
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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_steps: 500
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- training_steps:
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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.
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| 0.3827 | 1.28 | 2000 | 0.6164 | 80.7766 |
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| 0.3412 | 1.93 | 3000 | 0.5910 | 95.8127 |
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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 tutorial Voice 11.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6918
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- Wer: 91.5799
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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_steps: 500
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- training_steps: 1000
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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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| 0.6216 | 0.64 | 1000 | 0.6918 | 91.5799 |
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### Framework versions
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