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shawgpt-ft-lr0.0002-wd0.05

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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: 3.2816
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 8.5018 | 0.5714 | 1 | 4.2401 |
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- | 8.538 | 1.5714 | 2 | 4.1612 |
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- | 8.0957 | 2.5714 | 3 | 3.9772 |
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- | 7.788 | 3.5714 | 4 | 3.8079 |
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- | 7.4088 | 4.5714 | 5 | 3.6647 |
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- | 7.1719 | 5.5714 | 6 | 3.5412 |
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- | 6.9592 | 6.5714 | 7 | 3.4397 |
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- | 6.7737 | 7.5714 | 8 | 3.3620 |
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- | 6.6492 | 8.5714 | 9 | 3.3086 |
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- | 3.2214 | 9.5714 | 10 | 3.2816 |
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  ### Framework versions
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  - PEFT 0.14.0
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- - Transformers 4.48.3
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- - Pytorch 2.5.1+cu124
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  - Datasets 3.3.1
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  - Tokenizers 0.21.0
 
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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: 3.2789
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 25.5434 | 0.5714 | 1 | 4.2401 |
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+ | 25.7032 | 1.5714 | 2 | 4.1611 |
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+ | 24.6801 | 2.5714 | 3 | 3.9766 |
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+ | 23.5885 | 3.5714 | 4 | 3.8072 |
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+ | 22.457 | 4.5714 | 5 | 3.6633 |
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+ | 21.6522 | 5.5714 | 6 | 3.5395 |
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+ | 20.926 | 6.5714 | 7 | 3.4376 |
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+ | 20.4754 | 7.5714 | 8 | 3.3595 |
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+ | 20.0631 | 8.5714 | 9 | 3.3062 |
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+ | 12.9153 | 9.5714 | 10 | 3.2789 |
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  ### Framework versions
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  - PEFT 0.14.0
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+ - Transformers 4.47.1
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+ - Pytorch 2.5.1+cu121
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  - Datasets 3.3.1
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  - Tokenizers 0.21.0
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