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End of training

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README.md CHANGED
@@ -16,12 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.5575
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- - eval_runtime: 1342.9546
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- - eval_samples_per_second: 2.137
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- - eval_steps_per_second: 0.267
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- - epoch: 0.5571
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- - step: 400
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  ## Model description
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@@ -41,15 +36,26 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.001
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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: 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: 50
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- - training_steps: 1200
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - PEFT 0.14.0
 
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  This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4319
 
 
 
 
 
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.001
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+ - train_batch_size: 50
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+ - eval_batch_size: 50
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  - seed: 42
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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: 50
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+ - training_steps: 751
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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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+ | 0.9686 | 0.4870 | 150 | 0.6597 |
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+ | 0.6634 | 0.9740 | 300 | 0.5482 |
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+ | 0.5176 | 1.4610 | 450 | 0.5022 |
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+ | 0.5383 | 1.9481 | 600 | 0.4719 |
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+ | 0.4322 | 2.4351 | 750 | 0.4319 |
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+
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+
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  ### Framework versions
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  - PEFT 0.14.0
adapter_model/adapter_config.json ADDED
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