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mistral-finetune

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yo25/mistral-finetune

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  1. README.md +11 -11
  2. runs/May02_13-26-43_18b615b5afcc/events.out.tfevents.1714656403.18b615b5afcc.269.0 +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: 1.6868
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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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- | 2.2888 | 0.9231 | 3 | 1.9164 |
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- | 2.2101 | 1.8462 | 6 | 1.8524 |
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- | 2.1445 | 2.7692 | 9 | 1.8134 |
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- | 1.5809 | 4.0 | 13 | 1.7771 |
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- | 2.0793 | 4.9231 | 16 | 1.7462 |
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- | 2.033 | 5.8462 | 19 | 1.7224 |
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- | 2.0251 | 6.7692 | 22 | 1.7058 |
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- | 1.4839 | 8.0 | 26 | 1.6924 |
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- | 1.9771 | 8.9231 | 29 | 1.6874 |
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- | 1.3942 | 9.2308 | 30 | 1.6868 |
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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: 1.6845
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 2.2887 | 0.9231 | 3 | 1.9163 |
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+ | 2.21 | 1.8462 | 6 | 1.8534 |
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+ | 2.1457 | 2.7692 | 9 | 1.8140 |
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+ | 1.5818 | 4.0 | 13 | 1.7767 |
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+ | 2.0802 | 4.9231 | 16 | 1.7466 |
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+ | 2.0341 | 5.8462 | 19 | 1.7224 |
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+ | 2.0253 | 6.7692 | 22 | 1.7043 |
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+ | 1.4828 | 8.0 | 26 | 1.6902 |
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+ | 1.9755 | 8.9231 | 29 | 1.6851 |
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+ | 1.3922 | 9.2308 | 30 | 1.6845 |
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  ### Framework versions
runs/May02_13-26-43_18b615b5afcc/events.out.tfevents.1714656403.18b615b5afcc.269.0 ADDED
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