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  ## Training procedure
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- ### Training hyperparameters
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- The following hyperparameters were used during training:
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- - learning_rate: 6.600000000000001e-06
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- - train_batch_size: 16
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- - eval_batch_size: 8
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- - seed: 42
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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: 1
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- - training_steps: 1000
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- - mixed_precision_training: Native AMP
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Wer |
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- |:-------------:|:-----:|:----:|:---------------:|:-------:|
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- | 0.4886 | 0.1 | 100 | 0.3900 | 12.3225 |
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- | 0.2534 | 0.2 | 200 | 0.2826 | 15.7514 |
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- | 0.1143 | 1.05 | 300 | 0.2457 | 16.4211 |
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- | 0.1134 | 1.15 | 400 | 0.2496 | 14.2245 |
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- | 0.1186 | 1.25 | 500 | 0.2511 | 13.5280 |
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- | 0.054 | 2.1 | 600 | 0.2694 | 15.6175 |
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- | 0.0449 | 2.2 | 700 | 0.2743 | 21.0019 |
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- | 0.0224 | 3.05 | 800 | 0.2812 | 24.1897 |
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- | 0.0241 | 3.15 | 900 | 0.2828 | 31.6368 |
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- | 0.0324 | 3.25 | 1000 | 0.2841 | 31.3153 |
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  ### Framework versions
 
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  ## Training procedure
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  ### Framework versions