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update model card README.md

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@@ -13,6 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # train_model
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  This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
 
 
 
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  ## Model description
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@@ -39,12 +42,23 @@ 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: 1000
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  - num_epochs: 10
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  - mixed_precision_training: Native AMP
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  ### Training results
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  ### Framework versions
 
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  # train_model
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  This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.6009
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+ - Wer: 0.9988
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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: 10
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  - num_epochs: 10
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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 | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 17.8271 | 1.11 | 10 | 54.8523 | 1.0 |
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+ | 11.71 | 2.22 | 20 | 15.0626 | 0.9988 |
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+ | 4.6536 | 3.33 | 30 | 7.3361 | 0.9988 |
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+ | 3.6026 | 4.44 | 40 | 5.7365 | 0.9988 |
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+ | 3.3475 | 5.56 | 50 | 5.0688 | 0.9988 |
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+ | 3.2072 | 6.67 | 60 | 4.7947 | 0.9988 |
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+ | 3.1514 | 7.78 | 70 | 4.6413 | 0.9988 |
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+ | 3.1043 | 8.89 | 80 | 4.6918 | 0.9988 |
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+ | 3.1093 | 10.0 | 90 | 4.6009 | 0.9988 |
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  ### Framework versions