update model card README.md
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README.md
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) 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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- Per: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Per |
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### Framework versions
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- Transformers 4.27.4
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0955
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- Per: 0.0852
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Per |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 2.5617 | 1.0 | 102 | 2.2924 | 1.0 |
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| 2.2639 | 2.0 | 204 | 2.3079 | 1.0 |
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| 2.3203 | 2.99 | 306 | 2.3406 | 1.0 |
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| 2.2545 | 4.0 | 409 | 2.2614 | 1.0 |
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| 2.1643 | 5.0 | 511 | 1.7664 | 1.0 |
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| 1.7206 | 6.0 | 613 | 1.7111 | 1.0 |
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| 1.7024 | 6.99 | 715 | 1.7146 | 1.0 |
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| 1.719 | 8.0 | 818 | 1.7485 | 1.0 |
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| 1.7268 | 9.0 | 920 | 1.7347 | 1.0 |
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| 1.7042 | 10.0 | 1022 | 1.7078 | 1.0 |
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| 1.6836 | 10.99 | 1124 | 1.6868 | 1.0 |
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| 1.6719 | 12.0 | 1227 | 1.6798 | 1.0 |
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| 1.6573 | 13.0 | 1329 | 1.6622 | 1.0 |
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| 1.6353 | 14.0 | 1431 | 1.6339 | 1.0 |
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| 1.6179 | 14.99 | 1533 | 1.5896 | 1.0 |
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| 1.5669 | 16.0 | 1636 | 1.5226 | 0.9793 |
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| 1.5276 | 17.0 | 1738 | 1.4972 | 0.9533 |
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| 1.4857 | 18.0 | 1840 | 1.4075 | 0.9757 |
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| 1.4144 | 18.99 | 1942 | 1.3158 | 0.9685 |
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| 1.3073 | 20.0 | 2045 | 1.1385 | 0.9692 |
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| 1.1651 | 21.0 | 2147 | 0.9220 | 0.9523 |
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| 1.0036 | 22.0 | 2249 | 0.7287 | 0.8698 |
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| 0.7561 | 22.99 | 2351 | 0.5178 | 0.5407 |
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| 0.6271 | 24.0 | 2454 | 0.3903 | 0.4185 |
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| 0.5033 | 25.0 | 2556 | 0.2525 | 0.2356 |
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| 0.4183 | 26.0 | 2658 | 0.1868 | 0.1624 |
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| 0.351 | 26.99 | 2760 | 0.1435 | 0.1200 |
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| 0.3256 | 28.0 | 2863 | 0.1154 | 0.1035 |
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| 0.2859 | 29.0 | 2965 | 0.0996 | 0.0849 |
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| 0.2771 | 29.93 | 3060 | 0.0996 | 0.0910 |
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### Framework versions
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- Transformers 4.27.4
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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