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End of training

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  1. README.md +6 -5
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@@ -17,7 +17,7 @@ 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 35.6246
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  - Wer: 1.0
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  ## Model description
@@ -45,15 +45,16 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 16
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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: 5
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- - training_steps: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:---:|
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- | No log | 1.0 | 5 | 36.2698 | 1.0 |
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- | 48.2162 | 2.0 | 10 | 35.6246 | 1.0 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 6.1698
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  - Wer: 1.0
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  ## Model description
 
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  - total_train_batch_size: 16
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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: 250
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+ - training_steps: 1500
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:---:|
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+ | 10.4741 | 100.0 | 500 | 6.2781 | 1.0 |
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+ | 6.9012 | 200.0 | 1000 | 6.9850 | 1.0 |
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+ | 7.1133 | 300.0 | 1500 | 6.1698 | 1.0 |
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  ### Framework versions