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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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- - epoch: 0.3259
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- - eval_loss: 0.4649
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- - eval_per: 0.2070
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- - eval_runtime: 803.6436
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- - eval_samples_per_second: 20.137
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- - eval_steps_per_second: 20.137
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- - step: 6000
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  ## Model description
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@@ -53,6 +48,15 @@ The following hyperparameters were used during training:
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  - training_steps: 10000
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  - mixed_precision_training: Native AMP
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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: 0.4084
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+ - Per: 0.1818
 
 
 
 
 
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  ## Model description
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  - training_steps: 10000
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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 | Per |
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+ |:-------------:|:------:|:----:|:---------------:|:------:|
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+ | 0.6277 | 0.1630 | 3000 | 0.5961 | 0.2501 |
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+ | 0.445 | 0.3259 | 6000 | 0.4649 | 0.2070 |
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+ | 0.3751 | 0.4889 | 9000 | 0.4084 | 0.1818 |
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  ### Framework versions
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  - Transformers 4.57.0