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shawgpt-ft-lr2e-05-wd0.001

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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: 3.8377
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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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- | 4.6425 | 0.9231 | 3 | 4.2073 |
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- | 4.5674 | 1.8462 | 6 | 4.1547 |
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- | 4.5171 | 2.7692 | 9 | 4.1042 |
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- | 3.3351 | 4.0 | 13 | 4.0386 |
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- | 4.4006 | 4.9231 | 16 | 3.9922 |
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- | 4.3239 | 5.8462 | 19 | 3.9508 |
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- | 4.2857 | 6.7692 | 22 | 3.9157 |
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- | 3.1631 | 8.0 | 26 | 3.8788 |
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- | 4.1916 | 8.9231 | 29 | 3.8585 |
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- | 4.1817 | 9.8462 | 32 | 3.8452 |
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- | 4.1675 | 10.7692 | 35 | 3.8383 |
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- | 0.9797 | 11.0769 | 36 | 3.8377 |
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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: 3.8462
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:----:|:---------------:|
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+ | 4.6427 | 0.9231 | 3 | 4.2081 |
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+ | 4.5686 | 1.8462 | 6 | 4.1558 |
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+ | 4.5186 | 2.7692 | 9 | 4.1062 |
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+ | 3.3366 | 4.0 | 13 | 4.0413 |
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+ | 4.4034 | 4.9231 | 16 | 3.9956 |
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+ | 4.3273 | 5.8462 | 19 | 3.9553 |
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+ | 4.2905 | 6.7692 | 22 | 3.9216 |
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+ | 3.1678 | 8.0 | 26 | 3.8862 |
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+ | 4.199 | 8.9231 | 29 | 3.8667 |
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+ | 4.1896 | 9.8462 | 32 | 3.8536 |
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+ | 4.1758 | 10.7692 | 35 | 3.8468 |
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+ | 0.9823 | 11.0769 | 36 | 3.8462 |
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  ### Framework versions
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