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README.md
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# train_model
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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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## Model description
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- total_train_batch_size: 16
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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:
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- num_epochs: 10
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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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# train_model
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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: 4.6009
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- Wer: 0.9988
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## Model description
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- total_train_batch_size: 16
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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: 10
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- num_epochs: 10
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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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| 17.8271 | 1.11 | 10 | 54.8523 | 1.0 |
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| 11.71 | 2.22 | 20 | 15.0626 | 0.9988 |
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| 4.6536 | 3.33 | 30 | 7.3361 | 0.9988 |
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| 3.6026 | 4.44 | 40 | 5.7365 | 0.9988 |
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| 3.3475 | 5.56 | 50 | 5.0688 | 0.9988 |
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| 3.2072 | 6.67 | 60 | 4.7947 | 0.9988 |
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| 3.1514 | 7.78 | 70 | 4.6413 | 0.9988 |
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| 3.1043 | 8.89 | 80 | 4.6918 | 0.9988 |
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| 3.1093 | 10.0 | 90 | 4.6009 | 0.9988 |
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### Framework versions
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