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  1. README.md +18 -7
  2. adapter_model.safetensors +1 -1
  3. runs/Jun03_20-57-00_a100gpu5/events.out.tfevents.1717441218.a100gpu5.3221950.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,12 +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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- - eval_loss: 0.1363
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- - eval_runtime: 199.7966
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- - eval_samples_per_second: 12.232
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- - eval_steps_per_second: 1.532
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- - epoch: 28.0
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- - step: 10080
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  ## Model description
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@@ -49,9 +44,25 @@ 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: 30
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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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  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: 0.1261
 
 
 
 
 
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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: 10
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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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+ | 0.4354 | 1.0 | 360 | 0.6277 |
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+ | 0.3417 | 2.0 | 720 | 0.5204 |
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+ | 0.2939 | 3.0 | 1080 | 0.4573 |
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+ | 0.097 | 4.0 | 1440 | 0.1347 |
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+ | 0.0839 | 5.0 | 1800 | 0.1294 |
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+ | 0.0811 | 6.0 | 2160 | 0.1275 |
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+ | 0.0884 | 7.0 | 2520 | 0.1268 |
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+ | 0.0925 | 8.0 | 2880 | 0.1263 |
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+ | 0.0858 | 9.0 | 3240 | 0.1261 |
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+ | 0.0805 | 10.0 | 3600 | 0.1261 |
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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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