End of training
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README.md
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This model is a fine-tuned version of [](https://huggingface.co/) 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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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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- Transformers 5.0.0
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- Pytorch 2.10.0+
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- Datasets 4.0.0
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- Tokenizers 0.22.2
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1433
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.9812 | 1.0 | 6 | 2.2407 |
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| 2.0270 | 2.0 | 12 | 1.7466 |
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| 1.5714 | 3.0 | 18 | 1.2953 |
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| 1.2001 | 4.0 | 24 | 1.0696 |
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| 1.0133 | 5.0 | 30 | 0.9091 |
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| 0.8661 | 6.0 | 36 | 0.7848 |
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| 0.7555 | 7.0 | 42 | 0.6814 |
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| 0.6796 | 8.0 | 48 | 0.6318 |
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| 0.6473 | 9.0 | 54 | 0.6153 |
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| 0.6041 | 10.0 | 60 | 0.5501 |
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| 0.5619 | 11.0 | 66 | 0.5469 |
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| 0.5457 | 12.0 | 72 | 0.5018 |
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| 0.5004 | 13.0 | 78 | 0.4598 |
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| 0.4727 | 14.0 | 84 | 0.4299 |
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| 0.4530 | 15.0 | 90 | 0.4329 |
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| 0.4326 | 16.0 | 96 | 0.4042 |
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| 0.4063 | 17.0 | 102 | 0.3745 |
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| 0.3781 | 18.0 | 108 | 0.3800 |
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| 0.3919 | 19.0 | 114 | 0.3520 |
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| 0.3600 | 20.0 | 120 | 0.3237 |
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| 0.3449 | 21.0 | 126 | 0.2963 |
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| 0.3199 | 22.0 | 132 | 0.3008 |
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| 0.3220 | 23.0 | 138 | 0.2882 |
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| 0.3037 | 24.0 | 144 | 0.2534 |
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| 0.2746 | 25.0 | 150 | 0.2573 |
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| 0.2700 | 26.0 | 156 | 0.2359 |
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| 0.2573 | 27.0 | 162 | 0.2204 |
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| 0.2392 | 28.0 | 168 | 0.2122 |
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| 0.2339 | 29.0 | 174 | 0.2000 |
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| 0.2208 | 30.0 | 180 | 0.1913 |
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| 0.2159 | 31.0 | 186 | 0.1816 |
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| 0.1982 | 32.0 | 192 | 0.1747 |
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| 0.1967 | 33.0 | 198 | 0.1665 |
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| 0.1868 | 34.0 | 204 | 0.1642 |
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| 0.1804 | 35.0 | 210 | 0.1589 |
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| 0.1797 | 36.0 | 216 | 0.1555 |
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| 0.1731 | 37.0 | 222 | 0.1524 |
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| 0.1698 | 38.0 | 228 | 0.1471 |
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| 0.1679 | 39.0 | 234 | 0.1440 |
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| 0.1667 | 40.0 | 240 | 0.1433 |
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### Framework versions
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- Transformers 5.0.0
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- Pytorch 2.10.0+cu128
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- Datasets 4.0.0
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- Tokenizers 0.22.2
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