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update model card README.md

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  license: apache-2.0
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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: wav2vec2-large-asr-th
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  results: []
@@ -14,11 +12,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # wav2vec2-large-asr-th
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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: 3.3264
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- - Wer: 1.0
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- - Cer: 0.9960
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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: 5e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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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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  - training_steps: 2000
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  - mixed_precision_training: Native AMP
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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- | 9.7192 | 1.09 | 200 | 10.1504 | 1.0 | 1.0000 |
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- | 3.6967 | 2.19 | 400 | 3.9101 | 1.0 | 1.0000 |
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- | 3.5978 | 3.28 | 600 | 3.8292 | 1.0 | 1.0000 |
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- | 3.5324 | 4.37 | 800 | 3.6538 | 1.0 | 1.0000 |
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- | 3.529 | 5.46 | 1000 | 3.5816 | 1.0 | 1.0000 |
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- | 3.5145 | 6.56 | 1200 | 3.5487 | 1.0 | 1.0000 |
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- | 3.4544 | 7.65 | 1400 | 3.4912 | 1.0 | 0.9999 |
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- | 3.3666 | 8.74 | 1600 | 3.3998 | 1.0 | 0.9974 |
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- | 3.2963 | 9.84 | 1800 | 3.3264 | 1.0 | 0.9960 |
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- | 3.2361 | 10.93 | 2000 | 3.2402 | 1.0001 | 0.9950 |
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-
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-
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  ### Framework versions
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  - Transformers 4.26.1
 
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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: wav2vec2-large-asr-th
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  results: []
 
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  # wav2vec2-large-asr-th
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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 an unknown dataset.
 
 
 
 
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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: 1e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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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: 200
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  - training_steps: 2000
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.26.1