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update model card README.md

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@@ -16,13 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the common_voice_12_0 dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.4396
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- - eval_wer: 0.3150
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- - eval_runtime: 213.145
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- - eval_samples_per_second: 14.492
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- - eval_steps_per_second: 1.816
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- - epoch: 21.85
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- - step: 2600
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  ## Model description
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@@ -41,7 +41,7 @@ More information needed
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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: 16
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  - eval_batch_size: 8
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  - seed: 42
@@ -50,7 +50,7 @@ The following hyperparameters were used during training:
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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: 500
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- - num_epochs: 30
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  - mixed_precision_training: Native AMP
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the common_voice_12_0 dataset.
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  It achieves the following results on the evaluation set:
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+ - eval_loss: 0.2882
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+ - eval_wer: 0.2424
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+ - eval_runtime: 211.4996
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+ - eval_samples_per_second: 14.605
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+ - eval_steps_per_second: 1.83
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+ - epoch: 14.71
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+ - step: 1750
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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: 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: 500
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+ - num_epochs: 50
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  - mixed_precision_training: Native AMP
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  ### Framework versions