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End of training

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@@ -17,15 +17,6 @@ should probably proofread and complete it, then remove this comment. -->
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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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@@ -53,9 +44,13 @@ The following hyperparameters were used during training:
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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: 1000
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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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+
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+
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  ### Framework versions
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  - Transformers 4.48.0.dev0