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update model card README.md

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@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.2166
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  - Wer: 1.0
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  ## Model description
@@ -38,21 +38,21 @@ The following hyperparameters were used during training:
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  - train_batch_size: 1
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  - eval_batch_size: 8
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  - seed: 45
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- - gradient_accumulation_steps: 8
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- - total_train_batch_size: 8
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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: 300
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- - num_epochs: 3
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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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- | No log | 0.98 | 300 | 3.6178 | 1.0 |
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- | 9.0367 | 1.96 | 600 | 3.2166 | 1.0 |
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- | 1658872299.52 | 2.94 | 900 | 3.2166 | 1.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.1938
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  - Wer: 1.0
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  ## Model description
 
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  - train_batch_size: 1
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  - eval_batch_size: 8
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  - seed: 45
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 4
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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: 300
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+ - num_epochs: 2
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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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+ | No log | 0.61 | 300 | 3.1938 | 1.0 |
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+ | 15.6289 | 1.22 | 600 | 3.1938 | 1.0 |
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+ | 0.0 | 1.84 | 900 | 3.1938 | 1.0 |
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  ### Framework versions