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update model card README.md

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  1. README.md +12 -12
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@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on the librispeech_asr dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 11.9582
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  - Wer: 1.0
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0003
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:---:|
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- | 6.4818 | 0.28 | 500 | 10.9410 | 1.0 |
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- | 6.7531 | 0.56 | 1000 | 9.4289 | 1.0 |
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- | 6.8635 | 0.84 | 1500 | 9.7160 | 1.0 |
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- | 6.8625 | 1.12 | 2000 | 9.3706 | 1.0 |
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- | 7.0072 | 1.4 | 2500 | 9.2437 | 1.0 |
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- | 6.8906 | 1.68 | 3000 | 10.7605 | 1.0 |
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- | 6.9136 | 1.96 | 3500 | 11.3213 | 1.0 |
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- | 6.8846 | 2.24 | 4000 | 10.8779 | 1.0 |
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- | 6.9842 | 2.52 | 4500 | 11.9320 | 1.0 |
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- | 6.8026 | 2.8 | 5000 | 11.9582 | 1.0 |
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  ### Framework versions
 
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  This model was trained from scratch on the librispeech_asr dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 12.2365
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  - Wer: 1.0
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  ## Model description
 
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:---:|
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+ | 6.5774 | 0.28 | 500 | 10.5449 | 1.0 |
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+ | 6.706 | 0.56 | 1000 | 9.4411 | 1.0 |
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+ | 6.9182 | 0.84 | 1500 | 10.9554 | 1.0 |
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+ | 6.7416 | 1.12 | 2000 | 10.0801 | 1.0 |
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+ | 6.8778 | 1.4 | 2500 | 9.8569 | 1.0 |
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+ | 6.7694 | 1.68 | 3000 | 10.4234 | 1.0 |
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+ | 6.7415 | 1.96 | 3500 | 10.6545 | 1.0 |
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+ | 6.5997 | 2.24 | 4000 | 10.4268 | 1.0 |
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+ | 6.7672 | 2.52 | 4500 | 11.1929 | 1.0 |
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+ | 6.5254 | 2.8 | 5000 | 12.2365 | 1.0 |
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  ### Framework versions