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Christine789/qlora_v2

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  1. README.md +13 -13
  2. adapter_model.safetensors +1 -1
  3. runs/Sep29_14-21-14_4cd08f998954/events.out.tfevents.1727619681.4cd08f998954.2777.0 +3 -0
  4. runs/Sep29_14-49-56_4cd08f998954/events.out.tfevents.1727621415.4cd08f998954.20051.0 +3 -0
  5. 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: 1.7197
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  ## Model description
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@@ -51,22 +51,22 @@ 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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- | 4.5915 | 0.9231 | 3 | 3.9610 |
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- | 4.0346 | 1.8462 | 6 | 3.4295 |
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- | 3.4477 | 2.7692 | 9 | 2.9668 |
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- | 2.2397 | 4.0 | 13 | 2.5420 |
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- | 2.6514 | 4.9231 | 16 | 2.2949 |
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- | 2.3244 | 5.8462 | 19 | 2.0976 |
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- | 2.0731 | 6.7692 | 22 | 1.9205 |
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- | 1.425 | 8.0 | 26 | 1.7735 |
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- | 1.7904 | 8.9231 | 29 | 1.7251 |
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- | 1.2468 | 9.2308 | 30 | 1.7197 |
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  ### Framework versions
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- - PEFT 0.12.0
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  - Transformers 4.44.2
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  - Pytorch 2.4.1+cu121
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- - Datasets 3.0.0
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  - Tokenizers 0.19.1
 
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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: 1.7486
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 4.5903 | 0.9231 | 3 | 3.9569 |
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+ | 4.0337 | 1.8462 | 6 | 3.4324 |
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+ | 3.4578 | 2.7692 | 9 | 2.9754 |
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+ | 2.2395 | 4.0 | 13 | 2.5348 |
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+ | 2.6193 | 4.9231 | 16 | 2.2674 |
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+ | 2.2876 | 5.8462 | 19 | 2.0560 |
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+ | 2.039 | 6.7692 | 22 | 1.9094 |
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+ | 1.4379 | 8.0 | 26 | 1.7941 |
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+ | 1.829 | 8.9231 | 29 | 1.7533 |
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+ | 1.2737 | 9.2308 | 30 | 1.7486 |
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  ### Framework versions
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+ - PEFT 0.13.0
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  - Transformers 4.44.2
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  - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.1
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  - Tokenizers 0.19.1
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