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End of training

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  1. README.md +11 -7
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@@ -16,13 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.5961
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- - eval_per: 0.2501
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- - eval_runtime: 774.0848
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- - eval_samples_per_second: 20.906
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- - eval_steps_per_second: 20.906
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- - epoch: 0.1630
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- - step: 3000
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  ## Model description
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@@ -52,6 +47,15 @@ The following hyperparameters were used during training:
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  - lr_scheduler_warmup_steps: 300
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  - training_steps: 10000
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  ### Framework versions
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  - Transformers 4.57.0
 
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: nan
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+ - Per: 1.0
 
 
 
 
 
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  ## Model description
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  - lr_scheduler_warmup_steps: 300
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  - training_steps: 10000
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+ ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Per |
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+ |:-------------:|:------:|:----:|:---------------:|:------:|
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+ | 0.6277 | 0.1630 | 3000 | 0.5961 | 0.2501 |
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+ | 0.0 | 0.3259 | 6000 | nan | 1.0 |
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+ | 0.0 | 0.4889 | 9000 | nan | 1.0 |
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  ### Framework versions
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  - Transformers 4.57.0