End of training
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README.md
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# Whisper Small Vi - Thai Hoa
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the crab hunting squad dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 1.3068
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- eval_wer_ortho: 21.7284
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- eval_wer: 16.4179
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- eval_runtime: 9.411
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- eval_samples_per_second: 3.507
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- eval_steps_per_second: 0.213
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- epoch: 250.0
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- step: 500
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## Model description
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: constant_with_warmup
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- lr_scheduler_warmup_steps: 50
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- training_steps:
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.48.0.dev0
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# Whisper Small Vi - Thai Hoa
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the crab hunting squad dataset.
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## Model description
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: constant_with_warmup
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- lr_scheduler_warmup_steps: 50
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- training_steps: 300
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.48.0.dev0
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