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shawgpt-ft-lr2e-05-wd0.01

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README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.3804
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  ## Model description
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@@ -51,18 +51,18 @@ 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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- | 4.1779 | 0.9231 | 3 | 3.8026 |
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- | 4.0882 | 1.8462 | 6 | 3.7331 |
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- | 4.0172 | 2.7692 | 9 | 3.6688 |
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- | 2.9507 | 4.0 | 13 | 3.5927 |
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- | 3.8869 | 4.9231 | 16 | 3.5431 |
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- | 3.8087 | 5.8462 | 19 | 3.4996 |
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- | 3.768 | 6.7692 | 22 | 3.4629 |
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- | 2.7826 | 8.0 | 26 | 3.4239 |
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- | 3.6824 | 8.9231 | 29 | 3.4026 |
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- | 3.6671 | 9.8462 | 32 | 3.3882 |
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- | 3.6579 | 10.7692 | 35 | 3.3812 |
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- | 0.8452 | 11.0769 | 36 | 3.3804 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.3666
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:----:|:---------------:|
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+ | 4.1752 | 0.9231 | 3 | 3.7999 |
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+ | 4.0826 | 1.8462 | 6 | 3.7282 |
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+ | 4.0096 | 2.7692 | 9 | 3.6622 |
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+ | 2.9436 | 4.0 | 13 | 3.5842 |
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+ | 3.8754 | 4.9231 | 16 | 3.5330 |
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+ | 3.7962 | 5.8462 | 19 | 3.4884 |
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+ | 3.7544 | 6.7692 | 22 | 3.4507 |
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+ | 2.7724 | 8.0 | 26 | 3.4109 |
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+ | 3.6674 | 8.9231 | 29 | 3.3893 |
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+ | 3.6522 | 9.8462 | 32 | 3.3749 |
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+ | 3.643 | 10.7692 | 35 | 3.3674 |
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+ | 0.8397 | 11.0769 | 36 | 3.3666 |
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  ### Framework versions
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