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update model card README.md

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@@ -13,9 +13,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # blue
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  This model is a fine-tuned version of [nguyenvulebinh/wav2vec2-base-vietnamese-250h](https://huggingface.co/nguyenvulebinh/wav2vec2-base-vietnamese-250h) on the None dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 1.1263
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- - Wer: 0.4406
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  ## Model description
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@@ -41,22 +38,16 @@ 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: 1000
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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 |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 13.0427 | 6.33 | 500 | 3.6147 | 1.0 |
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- | 2.8298 | 12.66 | 1000 | 1.2009 | 0.5824 |
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- | 0.4088 | 18.99 | 1500 | 1.0646 | 0.4470 |
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- | 0.2563 | 25.32 | 2000 | 1.1263 | 0.4406 |
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  ### Framework versions
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  - Transformers 4.17.0
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- - Pytorch 2.1.0+cu121
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  - Datasets 2.7.1
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- - Tokenizers 0.15.2
 
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  # blue
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  This model is a fine-tuned version of [nguyenvulebinh/wav2vec2-base-vietnamese-250h](https://huggingface.co/nguyenvulebinh/wav2vec2-base-vietnamese-250h) on the None dataset.
 
 
 
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  ## Model description
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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: 5
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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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  - Transformers 4.17.0
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+ - Pytorch 2.2.1+cu121
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  - Datasets 2.7.1
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+ - Tokenizers 0.19.1