MathiasBrussow
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MathiasBrussow/shawgpt-ft
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README.md
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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.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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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: 1.3302
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-------:|:----:|:---------------:|
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| 4.9895 | 0.8571 | 3 | 4.1658 |
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| 3.4778 | 2.0 | 7 | 3.7207 |
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| 4.1399 | 2.8571 | 10 | 3.3552 |
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| 2.747 | 4.0 | 14 | 2.9052 |
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| 3.2593 | 4.8571 | 17 | 2.6105 |
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| 2.1018 | 6.0 | 21 | 2.2608 |
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| 2.4159 | 6.8571 | 24 | 2.0093 |
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| 1.6044 | 8.0 | 28 | 1.7780 |
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| 1.9126 | 8.8571 | 31 | 1.6498 |
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| 1.2575 | 10.0 | 35 | 1.5062 |
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| 1.6232 | 10.8571 | 38 | 1.4496 |
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| 1.1013 | 12.0 | 42 | 1.3928 |
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| 1.4709 | 12.8571 | 45 | 1.3688 |
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| 1.0337 | 14.0 | 49 | 1.3495 |
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| 1.4037 | 14.8571 | 52 | 1.3399 |
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| 1.0328 | 16.0 | 56 | 1.3307 |
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| 1.3526 | 16.8571 | 59 | 1.3277 |
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| 0.9745 | 18.0 | 63 | 1.3259 |
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| 1.299 | 18.8571 | 66 | 1.3254 |
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| 0.9387 | 20.0 | 70 | 1.3259 |
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| 1.3275 | 20.8571 | 73 | 1.3271 |
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| 0.9127 | 22.0 | 77 | 1.3290 |
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| 1.2574 | 22.8571 | 80 | 1.3300 |
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| 0.9474 | 24.0 | 84 | 1.3305 |
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| 1.2843 | 24.8571 | 87 | 1.3302 |
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| 0.8341 | 25.7143 | 90 | 1.3302 |
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### Framework versions
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runs/Oct24_14-16-18_c9e665a1658b/events.out.tfevents.1729779378.c9e665a1658b.1073.1
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size 18228
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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