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End of training

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@@ -19,13 +19,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # Whisper medium Fa Yazdi - SRezaS
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  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Persian Yazdi Accent Custom Dataset dataset.
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- It achieves the following results on the evaluation set:
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- - eval_loss: 0.2664
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- - eval_runtime: 19.2535
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- - eval_samples_per_second: 3.116
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- - eval_steps_per_second: 0.416
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- - epoch: 13.0
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- - step: 234
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  ## Model description
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@@ -52,10 +45,14 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 32
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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: linear
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- - lr_scheduler_warmup_steps: 57
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- - num_epochs: 20
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - PEFT 0.14.1.dev0
 
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  # Whisper medium Fa Yazdi - SRezaS
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  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Persian Yazdi Accent Custom Dataset dataset.
 
 
 
 
 
 
 
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  ## Model description
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  - total_train_batch_size: 32
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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: linear
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+ - lr_scheduler_warmup_steps: 40
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+ - num_epochs: 15
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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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  - PEFT 0.14.1.dev0