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update model card README.md
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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: []
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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
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It achieves the following results on the evaluation set:
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- Loss: 5.1807
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- Wer: 1.0
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- Cer: 1.0000
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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:
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- train_batch_size: 16
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- eval_batch_size:
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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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- training_steps: 2000
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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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| 17.808 | 1.09 | 200 | 25.2775 | 1.0 | 1.0000 |
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| 6.2017 | 2.19 | 400 | 7.3944 | 1.0 | 1.0000 |
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| 4.858 | 3.28 | 600 | 5.1807 | 1.0 | 1.0000 |
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| 3.9172 | 4.37 | 800 | 4.4228 | 1.0 | 1.0000 |
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| 3.7413 | 5.46 | 1000 | 4.1509 | 1.0 | 1.0000 |
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| 3.7496 | 6.56 | 1200 | 4.0403 | 1.0 | 1.0000 |
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| 3.6742 | 7.65 | 1400 | 4.0565 | 1.0 | 1.0000 |
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| 3.7246 | 8.74 | 1600 | 3.9468 | 1.0 | 1.0000 |
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| 3.6329 | 9.84 | 1800 | 3.9271 | 1.0 | 1.0000 |
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| 3.6562 | 10.93 | 2000 | 3.9091 | 1.0 | 1.0000 |
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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: 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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- 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
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