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update model card README.md

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  ---
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: Model_S_Berita_Wav2Vec2
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  results: []
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  # Model_S_Berita_Wav2Vec2
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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: 0.0734
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- - Wer: 0.0937
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- - Cer: 0.0149
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  ## Model description
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@@ -45,19 +48,18 @@ The following hyperparameters were used during training:
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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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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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- | 3.6802 | 12.5 | 400 | 0.3269 | 0.4301 | 0.0743 |
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- | 0.1241 | 25.0 | 800 | 0.0734 | 0.0937 | 0.0149 |
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  ### Framework versions
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- - Transformers 4.11.3
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- - Pytorch 1.10.0+cu113
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  - Datasets 1.18.3
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- - Tokenizers 0.10.3
 
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  ---
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  license: apache-2.0
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+ base_model: facebook/wav2vec2-large-xlsr-53
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - wer
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  model-index:
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  - name: Model_S_Berita_Wav2Vec2
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  results: []
 
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  # Model_S_Berita_Wav2Vec2
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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: 0.0798
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+ - Wer: 0.1014
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+ - Cer: 0.0151
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  ## Model description
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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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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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+ | 3.4351 | 12.5 | 400 | 0.2264 | 0.3161 | 0.0498 |
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+ | 0.0864 | 25.0 | 800 | 0.0798 | 0.1014 | 0.0151 |
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  ### Framework versions
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+ - Transformers 4.31.0
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+ - Pytorch 2.0.1+cu117
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  - Datasets 1.18.3
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+ - Tokenizers 0.13.3