End of training
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README.md
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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:
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## Model description
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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:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch
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| No log | 0.9744
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### Framework versions
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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: 1.9444
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## Model description
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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: 20
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-------:|:----:|:---------------:|
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| No log | 0.9744 | 19 | 2.1407 |
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| 1.3439 | 2.0 | 39 | 2.1284 |
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| 1.3611 | 2.9744 | 58 | 2.1101 |
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| 1.3218 | 4.0 | 78 | 2.0900 |
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| 1.3218 | 4.9744 | 97 | 2.0717 |
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| 1.3312 | 6.0 | 117 | 2.0546 |
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| 1.3108 | 6.9744 | 136 | 2.0389 |
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| 1.2979 | 8.0 | 156 | 2.0235 |
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| 1.2662 | 8.9744 | 175 | 2.0105 |
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| 1.2662 | 10.0 | 195 | 1.9979 |
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| 1.2706 | 10.9744 | 214 | 1.9876 |
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| 1.2673 | 12.0 | 234 | 1.9781 |
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| 1.2302 | 12.9744 | 253 | 1.9695 |
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| 1.2302 | 14.0 | 273 | 1.9620 |
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| 1.2478 | 14.9744 | 292 | 1.9564 |
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| 1.2536 | 16.0 | 312 | 1.9516 |
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| 1.2125 | 16.9744 | 331 | 1.9480 |
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| 1.2406 | 18.0 | 351 | 1.9457 |
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| 1.2406 | 18.9744 | 370 | 1.9445 |
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| 1.218 | 19.4872 | 380 | 1.9444 |
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### Framework versions
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adapter_model.safetensors
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