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shawgpt-ft

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ykeselman/shawgpt-ft

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  1. README.md +11 -11
  2. runs/Jun03_01-52-31_ecfb50d735fa/events.out.tfevents.1717379552.ecfb50d735fa.2419.0 +3 -0
  3. training_args.bin +1 -1
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: 1.7481
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  ## Model description
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@@ -51,16 +51,16 @@ 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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- | 4.5906 | 0.9231 | 3 | 3.9591 |
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- | 4.0332 | 1.8462 | 6 | 3.4281 |
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- | 3.4449 | 2.7692 | 9 | 2.9666 |
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- | 2.2374 | 4.0 | 13 | 2.5460 |
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- | 2.6475 | 4.9231 | 16 | 2.2995 |
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- | 2.3153 | 5.8462 | 19 | 2.0970 |
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- | 2.0673 | 6.7692 | 22 | 1.9296 |
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- | 1.4405 | 8.0 | 26 | 1.7996 |
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- | 1.8224 | 8.9231 | 29 | 1.7535 |
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- | 1.2669 | 9.2308 | 30 | 1.7481 |
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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: 1.7286
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 4.5912 | 0.9231 | 3 | 3.9649 |
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+ | 4.0436 | 1.8462 | 6 | 3.4483 |
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+ | 3.4693 | 2.7692 | 9 | 2.9914 |
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+ | 2.2513 | 4.0 | 13 | 2.5516 |
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+ | 2.6391 | 4.9231 | 16 | 2.2852 |
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+ | 2.2998 | 5.8462 | 19 | 2.0547 |
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+ | 2.017 | 6.7692 | 22 | 1.8842 |
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+ | 1.4172 | 8.0 | 26 | 1.7734 |
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+ | 1.8045 | 8.9231 | 29 | 1.7333 |
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+ | 1.2588 | 9.2308 | 30 | 1.7286 |
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  ### Framework versions
runs/Jun03_01-52-31_ecfb50d735fa/events.out.tfevents.1717379552.ecfb50d735fa.2419.0 ADDED
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