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shawgpt-ft-rank15

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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: 1.5116
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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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- | 1.0283 | 0.9231 | 3 | 1.3097 |
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- | 0.9868 | 1.8462 | 6 | 1.3728 |
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- | 0.9174 | 2.7692 | 9 | 1.3527 |
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- | 0.6429 | 4.0 | 13 | 1.4026 |
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- | 0.8442 | 4.9231 | 16 | 1.4004 |
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- | 0.7766 | 5.8462 | 19 | 1.4248 |
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- | 0.7289 | 6.7692 | 22 | 1.4474 |
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- | 0.543 | 8.0 | 26 | 1.4707 |
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- | 0.6976 | 8.9231 | 29 | 1.4967 |
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- | 0.6682 | 9.8462 | 32 | 1.5151 |
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- | 0.6726 | 10.7692 | 35 | 1.5118 |
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- | 0.1014 | 11.0769 | 36 | 1.5116 |
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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: 1.4906
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:----:|:---------------:|
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+ | 4.5923 | 0.9231 | 3 | 3.9658 |
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+ | 4.0441 | 1.8462 | 6 | 3.4365 |
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+ | 3.451 | 2.7692 | 9 | 2.9600 |
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+ | 2.2208 | 4.0 | 13 | 2.4960 |
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+ | 2.5836 | 4.9231 | 16 | 2.2153 |
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+ | 2.2284 | 5.8462 | 19 | 1.9993 |
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+ | 1.9357 | 6.7692 | 22 | 1.7904 |
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+ | 1.3278 | 8.0 | 26 | 1.6449 |
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+ | 1.6406 | 8.9231 | 29 | 1.5613 |
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+ | 1.5307 | 9.8462 | 32 | 1.5156 |
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+ | 1.5151 | 10.7692 | 35 | 1.4931 |
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+ | 0.2742 | 11.0769 | 36 | 1.4906 |
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  ### Framework versions
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