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shawgpt-ft

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cheonboy/shawgpt-ft

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  1. README.md +12 -12
  2. runs/Jul11_04-31-39_7f32845c3f27/events.out.tfevents.1720672300.7f32845c3f27.1311.0 +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: 1.8999
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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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- | 4.5943 | 0.9231 | 3 | 3.9667 |
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- | 4.052 | 1.8462 | 6 | 3.4447 |
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- | 3.4816 | 2.7692 | 9 | 3.0003 |
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- | 2.2728 | 4.0 | 13 | 2.5840 |
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- | 2.7079 | 4.9231 | 16 | 2.3495 |
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- | 2.4026 | 5.8462 | 19 | 2.1672 |
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- | 2.1944 | 6.7692 | 22 | 2.0317 |
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- | 1.5774 | 8.0 | 26 | 1.9874 |
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- | 2.0433 | 8.9231 | 29 | 1.9125 |
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- | 1.3935 | 9.2308 | 30 | 1.8999 |
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  ### Framework versions
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  - PEFT 0.11.1
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  - Transformers 4.41.2
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- - Pytorch 2.1.0+cu121
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  - Datasets 2.20.0
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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: 1.7326
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 4.5934 | 0.9231 | 3 | 3.9723 |
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+ | 4.0607 | 1.8462 | 6 | 3.4680 |
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+ | 3.4937 | 2.7692 | 9 | 3.0132 |
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+ | 2.2669 | 4.0 | 13 | 2.5644 |
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+ | 2.6584 | 4.9231 | 16 | 2.2894 |
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+ | 2.312 | 5.8462 | 19 | 2.0650 |
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+ | 2.0331 | 6.7692 | 22 | 1.8955 |
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+ | 1.4248 | 8.0 | 26 | 1.7767 |
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+ | 1.813 | 8.9231 | 29 | 1.7372 |
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+ | 1.2648 | 9.2308 | 30 | 1.7326 |
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  ### Framework versions
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  - PEFT 0.11.1
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  - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
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