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: 0.0732
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.1329 | 1.0 | 5 | 2.4115 |
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| 2.1734 | 2.0 | 10 | 1.8467 |
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| 1.7271 | 3.0 | 15 | 1.5298 |
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| 1.4359 | 4.0 | 20 | 1.2764 |
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| 1.1968 | 5.0 | 25 | 1.0395 |
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| 0.9850 | 6.0 | 30 | 0.8995 |
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| 0.8588 | 7.0 | 35 | 0.7843 |
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| 0.7775 | 8.0 | 40 | 0.7370 |
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| 0.7156 | 9.0 | 45 | 0.6533 |
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| 0.6477 | 10.0 | 50 | 0.5932 |
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| 0.5889 | 11.0 | 55 | 0.5227 |
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| 0.5340 | 12.0 | 60 | 0.4886 |
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| 0.4974 | 13.0 | 65 | 0.4334 |
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| 0.4522 | 14.0 | 70 | 0.3877 |
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| 0.4190 | 15.0 | 75 | 0.3612 |
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| 0.3872 | 16.0 | 80 | 0.3277 |
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| 0.3550 | 17.0 | 85 | 0.2904 |
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| 0.3289 | 18.0 | 90 | 0.2736 |
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| 0.3074 | 19.0 | 95 | 0.2424 |
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| 0.2834 | 20.0 | 100 | 0.2317 |
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| 0.2678 | 21.0 | 105 | 0.2062 |
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| 0.2496 | 22.0 | 110 | 0.2049 |
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| 0.2352 | 23.0 | 115 | 0.1744 |
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| 0.2159 | 24.0 | 120 | 0.1553 |
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| 0.2043 | 25.0 | 125 | 0.1476 |
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| 0.1886 | 26.0 | 130 | 0.1313 |
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| 0.1749 | 27.0 | 135 | 0.1227 |
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| 0.1676 | 28.0 | 140 | 0.1168 |
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| 0.1610 | 29.0 | 145 | 0.1098 |
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| 0.1508 | 30.0 | 150 | 0.1045 |
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| 0.1424 | 31.0 | 155 | 0.0956 |
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| 0.1354 | 32.0 | 160 | 0.0904 |
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| 0.1315 | 33.0 | 165 | 0.0851 |
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| 0.1257 | 34.0 | 170 | 0.0823 |
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| 0.1228 | 35.0 | 175 | 0.0800 |
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| 0.1173 | 36.0 | 180 | 0.0777 |
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| 0.1132 | 37.0 | 185 | 0.0760 |
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| 0.1131 | 38.0 | 190 | 0.0749 |
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| 0.1136 | 39.0 | 195 | 0.0735 |
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| 0.1115 | 40.0 | 200 | 0.0732 |
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### Framework versions
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- Transformers 5.0.0
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- Pytorch 2.10.0+cpu
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- Datasets 4.0.0
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- Tokenizers 0.22.2
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