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Terry-ft

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HCHSmost/TerryGPT-ft

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  1. README.md +10 -10
  2. adapter_model.safetensors +1 -1
  3. runs/Jul19_09-34-15_60bc7329ebf4/events.out.tfevents.1721381656.60bc7329ebf4.257.0 +3 -0
  4. 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: 0.5955
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  ## Model description
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@@ -51,15 +51,15 @@ 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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- | 2.0675 | 0.8696 | 5 | 1.4865 |
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- | 1.1877 | 1.9130 | 11 | 1.0028 |
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- | 0.8015 | 2.9565 | 17 | 0.7186 |
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- | 0.6361 | 4.0 | 23 | 0.6500 |
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- | 0.6824 | 4.8696 | 28 | 0.6235 |
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- | 0.5246 | 5.9130 | 34 | 0.6054 |
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- | 0.5007 | 6.9565 | 40 | 0.5981 |
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- | 0.4786 | 8.0 | 46 | 0.5960 |
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- | 0.4843 | 8.6957 | 50 | 0.5955 |
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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: 0.6100
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 2.5684 | 0.8696 | 5 | 1.9494 |
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+ | 1.578 | 1.9130 | 11 | 1.4150 |
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+ | 1.1379 | 2.9565 | 17 | 1.0191 |
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+ | 0.8089 | 4.0 | 23 | 0.7513 |
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+ | 0.774 | 4.8696 | 28 | 0.6820 |
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+ | 0.5856 | 5.9130 | 34 | 0.6451 |
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+ | 0.5621 | 6.9565 | 40 | 0.6235 |
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+ | 0.5319 | 8.0 | 46 | 0.6122 |
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+ | 0.5447 | 8.6957 | 50 | 0.6100 |
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  ### Framework versions
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