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Model save

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  1. README.md +10 -7
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0661
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- - Mse: 0.0661
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- - Mae: 0.2049
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- - R Squared: 0.2627
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  ## Model description
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@@ -56,9 +56,12 @@ The following hyperparameters were used during training:
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  | 0.0843 | 0.3115 | 200 | 0.0803 | 0.2314 | 0.0803 | 0.1045 |
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  | 0.0851 | 0.4673 | 300 | 0.0882 | 0.2278 | 0.0882 | 0.0168 |
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  | 0.0676 | 0.6231 | 400 | 0.0716 | 0.2183 | 0.0716 | 0.2014 |
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- | 0.0737 | 0.7788 | 500 | 0.0691 | 0.0691 | 0.2164 | 0.2291 |
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- | 0.0694 | 0.9346 | 600 | 0.0696 | 0.0696 | 0.2157 | 0.2242 |
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- | 0.0569 | 1.0903 | 700 | 0.0661 | 0.0661 | 0.2049 | 0.2627 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0644
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+ - Mse: 0.0644
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+ - Mae: 0.2027
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+ - R Squared: 0.2813
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  ## Model description
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  | 0.0843 | 0.3115 | 200 | 0.0803 | 0.2314 | 0.0803 | 0.1045 |
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  | 0.0851 | 0.4673 | 300 | 0.0882 | 0.2278 | 0.0882 | 0.0168 |
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  | 0.0676 | 0.6231 | 400 | 0.0716 | 0.2183 | 0.0716 | 0.2014 |
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+ | 0.0737 | 0.7788 | 500 | 0.0691 | 0.2164 | 0.0691 | 0.2291 |
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+ | 0.0694 | 0.9346 | 600 | 0.0696 | 0.2157 | 0.0696 | 0.2242 |
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+ | 0.0569 | 1.0903 | 700 | 0.0661 | 0.2049 | 0.0661 | 0.2627 |
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+ | 0.0589 | 1.2461 | 800 | 0.0663 | 0.0663 | 0.2045 | 0.2606 |
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+ | 0.0648 | 1.4019 | 900 | 0.0649 | 0.0649 | 0.2039 | 0.2764 |
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+ | 0.0652 | 1.5576 | 1000 | 0.0644 | 0.0644 | 0.2027 | 0.2813 |
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  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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