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shawgpt-ft

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jaewoongy/shawgpt-ft

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  1. README.md +11 -11
  2. runs/May22_02-06-46_4fdec434ef12/events.out.tfevents.1716343607.4fdec434ef12.415.0 +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: 1.9111
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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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- | 4.5953 | 0.9231 | 3 | 3.9704 |
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- | 4.0578 | 1.8462 | 6 | 3.4542 |
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- | 3.4931 | 2.7692 | 9 | 3.0091 |
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- | 2.2808 | 4.0 | 13 | 2.5854 |
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- | 2.7047 | 4.9231 | 16 | 2.3410 |
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- | 2.3813 | 5.8462 | 19 | 2.1513 |
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- | 2.1956 | 6.7692 | 22 | 2.0353 |
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- | 1.5823 | 8.0 | 26 | 1.9894 |
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- | 2.0532 | 8.9231 | 29 | 1.9214 |
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- | 1.4066 | 9.2308 | 30 | 1.9111 |
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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: 1.8763
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 4.593 | 0.9231 | 3 | 3.9590 |
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+ | 4.0403 | 1.8462 | 6 | 3.4249 |
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+ | 3.4588 | 2.7692 | 9 | 2.9732 |
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+ | 2.2521 | 4.0 | 13 | 2.5500 |
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+ | 2.6689 | 4.9231 | 16 | 2.3030 |
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+ | 2.3419 | 5.8462 | 19 | 2.1148 |
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+ | 2.1294 | 6.7692 | 22 | 1.9798 |
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+ | 1.5309 | 8.0 | 26 | 1.9374 |
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+ | 1.9897 | 8.9231 | 29 | 1.8893 |
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+ | 1.3786 | 9.2308 | 30 | 1.8763 |
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  ### Framework versions
runs/May22_02-06-46_4fdec434ef12/events.out.tfevents.1716343607.4fdec434ef12.415.0 ADDED
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