End of training
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README.md
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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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- 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:
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- num_epochs:
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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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### Framework versions
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- PEFT 0.14.1.dev0
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