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End of training

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  1. README.md +39 -39
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [unsloth/qwen2-7b-bnb-4bit](https://huggingface.co/unsloth/qwen2-7b-bnb-4bit) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0907
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  ## Model description
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@@ -51,44 +51,44 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 0.9111 | 0.0261 | 4 | 0.9716 |
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- | 1.0695 | 0.0522 | 8 | 1.1827 |
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- | 1.1409 | 0.0783 | 12 | 1.1378 |
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- | 1.1017 | 0.1044 | 16 | 1.1270 |
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- | 1.1579 | 0.1305 | 20 | 1.1441 |
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- | 1.0234 | 0.1566 | 24 | 1.1212 |
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- | 1.0225 | 0.1827 | 28 | 1.1567 |
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- | 1.1587 | 0.2088 | 32 | 1.1425 |
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- | 1.0519 | 0.2349 | 36 | 1.1214 |
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- | 1.1006 | 0.2610 | 40 | 1.1195 |
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- | 1.1443 | 0.2871 | 44 | 1.1159 |
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- | 1.1088 | 0.3132 | 48 | 1.1123 |
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- | 1.0303 | 0.3393 | 52 | 1.1125 |
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- | 1.0499 | 0.3654 | 56 | 1.1232 |
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- | 1.082 | 0.3915 | 60 | 1.1239 |
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- | 1.1319 | 0.4176 | 64 | 1.1299 |
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- | 1.1228 | 0.4437 | 68 | 1.1170 |
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- | 1.0796 | 0.4698 | 72 | 1.1129 |
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- | 1.0974 | 0.4959 | 76 | 1.1162 |
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- | 1.0566 | 0.5220 | 80 | 1.1066 |
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- | 1.1243 | 0.5481 | 84 | 1.1036 |
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- | 1.0449 | 0.5742 | 88 | 1.1075 |
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- | 1.1215 | 0.6003 | 92 | 1.1022 |
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- | 1.0506 | 0.6264 | 96 | 1.0941 |
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- | 1.1367 | 0.6525 | 100 | 1.0924 |
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- | 1.03 | 0.6786 | 104 | 1.1014 |
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- | 1.0844 | 0.7047 | 108 | 1.1160 |
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- | 1.0575 | 0.7308 | 112 | 1.1058 |
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- | 1.0169 | 0.7569 | 116 | 1.1061 |
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- | 1.002 | 0.7830 | 120 | 1.1091 |
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- | 1.0741 | 0.8091 | 124 | 1.1094 |
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- | 1.0651 | 0.8352 | 128 | 1.1032 |
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- | 1.1222 | 0.8613 | 132 | 1.0976 |
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- | 1.0595 | 0.8874 | 136 | 1.0952 |
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- | 1.0879 | 0.9135 | 140 | 1.0931 |
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- | 1.0433 | 0.9396 | 144 | 1.0917 |
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- | 1.1012 | 0.9657 | 148 | 1.0908 |
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- | 1.0587 | 0.9918 | 152 | 1.0907 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [unsloth/qwen2-7b-bnb-4bit](https://huggingface.co/unsloth/qwen2-7b-bnb-4bit) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0421
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 0.9108 | 0.0261 | 4 | 0.9707 |
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+ | 0.9882 | 0.0522 | 8 | 1.0348 |
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+ | 1.0325 | 0.0783 | 12 | 1.0383 |
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+ | 1.0044 | 0.1044 | 16 | 1.0488 |
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+ | 1.0614 | 0.1305 | 20 | 1.0597 |
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+ | 0.9711 | 0.1566 | 24 | 1.0676 |
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+ | 0.979 | 0.1827 | 28 | 1.0751 |
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+ | 1.1009 | 0.2088 | 32 | 1.0812 |
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+ | 1.014 | 0.2349 | 36 | 1.0818 |
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+ | 1.057 | 0.2610 | 40 | 1.0841 |
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+ | 1.1137 | 0.2871 | 44 | 1.0848 |
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+ | 1.0856 | 0.3132 | 48 | 1.0879 |
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+ | 1.0044 | 0.3393 | 52 | 1.0875 |
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+ | 1.0199 | 0.3654 | 56 | 1.0862 |
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+ | 1.0503 | 0.3915 | 60 | 1.0861 |
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+ | 1.0973 | 0.4176 | 64 | 1.0831 |
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+ | 1.0846 | 0.4437 | 68 | 1.0824 |
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+ | 1.051 | 0.4698 | 72 | 1.0805 |
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+ | 1.0629 | 0.4959 | 76 | 1.0797 |
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+ | 1.0294 | 0.5220 | 80 | 1.0759 |
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+ | 1.0989 | 0.5481 | 84 | 1.0724 |
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+ | 1.0112 | 0.5742 | 88 | 1.0708 |
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+ | 1.0885 | 0.6003 | 92 | 1.0696 |
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+ | 1.0212 | 0.6264 | 96 | 1.0651 |
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+ | 1.1114 | 0.6525 | 100 | 1.0617 |
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+ | 0.994 | 0.6786 | 104 | 1.0602 |
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+ | 1.0346 | 0.7047 | 108 | 1.0566 |
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+ | 1.0053 | 0.7308 | 112 | 1.0539 |
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+ | 0.9673 | 0.7569 | 116 | 1.0506 |
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+ | 0.9526 | 0.7830 | 120 | 1.0489 |
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+ | 1.0196 | 0.8091 | 124 | 1.0475 |
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+ | 1.0054 | 0.8352 | 128 | 1.0456 |
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+ | 1.0743 | 0.8613 | 132 | 1.0439 |
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+ | 1.011 | 0.8874 | 136 | 1.0430 |
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+ | 1.0417 | 0.9135 | 140 | 1.0426 |
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+ | 0.9953 | 0.9396 | 144 | 1.0422 |
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+ | 1.0592 | 0.9657 | 148 | 1.0420 |
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+ | 1.019 | 0.9918 | 152 | 1.0421 |
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  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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