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  1. README.md +24 -9
  2. adapter_model.safetensors +1 -1
  3. runs/May24_19-21-43_a100gpu5/events.out.tfevents.1716571311.a100gpu5.2421461.22 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-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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@@ -46,18 +46,33 @@ The following hyperparameters were used during training:
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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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- | 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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  ### 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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