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README.md
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# bach-arb
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 8.0485
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- Wer: 1.1740
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## Model description
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- num_epochs: 320
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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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| 6.61 | 20.0 | 100 | 3.0666 | 1.0 |
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| 2.6693 | 40.0 | 200 | 3.0447 | 0.9971 |
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| 1.7005 | 60.0 | 300 | 4.0288 | 1.0118 |
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| 0.7894 | 80.0 | 400 | 5.1604 | 1.0265 |
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| 0.3588 | 100.0 | 500 | 6.2627 | 1.0560 |
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| 0.1847 | 120.0 | 600 | 6.1311 | 1.0708 |
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| 0.1079 | 140.0 | 700 | 6.5706 | 1.0914 |
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| 0.0723 | 160.0 | 800 | 7.3875 | 1.1976 |
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| 0.0506 | 180.0 | 900 | 7.0595 | 1.1740 |
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| 0.0378 | 200.0 | 1000 | 7.5306 | 1.1445 |
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| 0.041 | 220.0 | 1100 | 7.4536 | 1.0767 |
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| 0.0254 | 240.0 | 1200 | 7.7803 | 1.1504 |
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| 0.0211 | 260.0 | 1300 | 7.9156 | 1.1003 |
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| 0.0175 | 280.0 | 1400 | 8.0091 | 1.1681 |
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| 0.0141 | 300.0 | 1500 | 8.0537 | 1.1475 |
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| 0.0132 | 320.0 | 1600 | 8.0485 | 1.1740 |
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### Framework versions
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- Transformers 4.11.3
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# bach-arb
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on an unknown dataset.
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## Model description
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- num_epochs: 320
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.11.3
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