End of training
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README.md
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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.
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- Wer: 0.
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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: 8
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- eval_batch_size: 8
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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| 1.2036 | 12.42 | 2000 | 0.6728 | 0.5978 |
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| 0.6796 | 15.53 | 2500 | 0.5713 | 0.5282 |
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| 0.4953 | 18.63 | 3000 | 0.5505 | 0.4948 |
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| 0.3967 | 21.74 | 3500 | 0.5530 | 0.4779 |
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| 0.3497 | 24.84 | 4000 | 0.5580 | 0.4677 |
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| 0.3111 | 27.95 | 4500 | 0.5666 | 0.4593 |
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### Framework versions
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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: 0.8771
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- Wer: 0.7007
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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: 8
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- eval_batch_size: 8
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 2.7872 | 8.62 | 500 | 2.3979 | 0.9983 |
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| 1.9011 | 17.24 | 1000 | 1.1161 | 0.8382 |
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| 1.0272 | 25.86 | 1500 | 0.8771 | 0.7007 |
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### Framework versions
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model.safetensors
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