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End of training

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  1. README.md +13 -13
  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](https://huggingface.co/unsloth/Qwen2-7B) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.0707
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  ## Model description
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@@ -87,18 +87,18 @@ The following hyperparameters were used during training:
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  | 2.1939 | 0.7008 | 272 | 2.0919 |
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  | 2.071 | 0.7214 | 280 | 2.0830 |
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  | 2.181 | 0.7420 | 288 | 2.0801 |
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- | 2.1075 | 0.7626 | 296 | 2.0800 |
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- | 2.1188 | 0.7833 | 304 | 2.0762 |
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- | 2.1076 | 0.8039 | 312 | 2.0751 |
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- | 2.1499 | 0.8245 | 320 | 2.0773 |
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- | 2.1545 | 0.8451 | 328 | 2.0786 |
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- | 2.1117 | 0.8657 | 336 | 2.0787 |
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- | 2.1461 | 0.8863 | 344 | 2.0746 |
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- | 2.1169 | 0.9069 | 352 | 2.0694 |
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- | 2.1884 | 0.9275 | 360 | 2.0713 |
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- | 2.113 | 0.9481 | 368 | 2.0711 |
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- | 2.1624 | 0.9688 | 376 | 2.0708 |
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- | 2.1143 | 0.9894 | 384 | 2.0707 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [unsloth/Qwen2-7B](https://huggingface.co/unsloth/Qwen2-7B) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.0710
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  ## Model description
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  | 2.1939 | 0.7008 | 272 | 2.0919 |
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  | 2.071 | 0.7214 | 280 | 2.0830 |
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  | 2.181 | 0.7420 | 288 | 2.0801 |
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+ | 2.1076 | 0.7626 | 296 | 2.0804 |
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+ | 2.1185 | 0.7833 | 304 | 2.0761 |
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+ | 2.1079 | 0.8039 | 312 | 2.0749 |
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+ | 2.1499 | 0.8245 | 320 | 2.0783 |
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+ | 2.1551 | 0.8451 | 328 | 2.0784 |
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+ | 2.1117 | 0.8657 | 336 | 2.0784 |
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+ | 2.1463 | 0.8863 | 344 | 2.0750 |
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+ | 2.1167 | 0.9069 | 352 | 2.0696 |
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+ | 2.1882 | 0.9275 | 360 | 2.0714 |
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+ | 2.1131 | 0.9481 | 368 | 2.0716 |
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+ | 2.1626 | 0.9688 | 376 | 2.0714 |
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+ | 2.1141 | 0.9894 | 384 | 2.0710 |
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  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 80792096
 
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