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:
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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: 0.0710
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.0915 | 1.0 | 5 | 2.3521 |
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| 2.1484 | 2.0 | 10 | 1.8601 |
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| 1.7128 | 3.0 | 15 | 1.4527 |
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| 1.3553 | 4.0 | 20 | 1.1778 |
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| 1.1163 | 5.0 | 25 | 1.0277 |
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| 0.9841 | 6.0 | 30 | 0.9234 |
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| 0.8693 | 7.0 | 35 | 0.7778 |
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| 0.7649 | 8.0 | 40 | 0.7049 |
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| 0.7043 | 9.0 | 45 | 0.6547 |
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| 0.6440 | 10.0 | 50 | 0.6092 |
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| 0.6069 | 11.0 | 55 | 0.5777 |
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| 0.5713 | 12.0 | 60 | 0.5318 |
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| 0.5384 | 13.0 | 65 | 0.4881 |
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| 0.5031 | 14.0 | 70 | 0.4651 |
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| 0.4705 | 15.0 | 75 | 0.4390 |
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| 0.4453 | 16.0 | 80 | 0.4080 |
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| 0.4165 | 17.0 | 85 | 0.3966 |
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| 0.3953 | 18.0 | 90 | 0.3614 |
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| 0.3782 | 19.0 | 95 | 0.3430 |
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| 0.3625 | 20.0 | 100 | 0.3272 |
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| 0.3394 | 21.0 | 105 | 0.3016 |
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| 0.3107 | 22.0 | 110 | 0.2624 |
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| 0.2814 | 23.0 | 115 | 0.2426 |
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| 0.2610 | 24.0 | 120 | 0.2223 |
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| 0.2468 | 25.0 | 125 | 0.1960 |
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| 0.2233 | 26.0 | 130 | 0.1802 |
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| 0.2052 | 27.0 | 135 | 0.1603 |
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| 0.1890 | 28.0 | 140 | 0.1367 |
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| 0.1708 | 29.0 | 145 | 0.1219 |
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| 0.1577 | 30.0 | 150 | 0.1105 |
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| 0.1487 | 31.0 | 155 | 0.1030 |
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| 0.1400 | 32.0 | 160 | 0.0960 |
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| 0.1308 | 33.0 | 165 | 0.0913 |
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| 0.1265 | 34.0 | 170 | 0.0849 |
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| 0.1187 | 35.0 | 175 | 0.0796 |
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| 0.1138 | 36.0 | 180 | 0.0781 |
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| 0.1113 | 37.0 | 185 | 0.0747 |
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| 0.1079 | 38.0 | 190 | 0.0743 |
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| 0.1083 | 39.0 | 195 | 0.0714 |
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| 0.1057 | 40.0 | 200 | 0.0710 |
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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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