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End of training

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README.md CHANGED
@@ -17,6 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  # Whisper Small English 1h
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the librispeech dataset.
 
 
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  ## Model description
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@@ -37,14 +39,27 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-06
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  - train_batch_size: 8
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- - eval_batch_size: 8
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  - seed: 42
 
 
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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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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - PEFT 0.10.0
 
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  # Whisper Small English 1h
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the librispeech dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.1439
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-06
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  - train_batch_size: 8
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+ - eval_batch_size: 4
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  - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 16
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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: 50
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+ - num_epochs: 5
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | No log | 0.9744 | 19 | 2.1913 |
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+ | 1.3757 | 2.0 | 39 | 2.1791 |
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+ | 1.3932 | 2.9744 | 58 | 2.1605 |
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+ | 1.3541 | 4.0 | 78 | 2.1477 |
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+ | 1.3541 | 4.8718 | 95 | 2.1439 |
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+
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+
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  ### Framework versions
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  - PEFT 0.10.0
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