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shawgpt-ft-lr0.0002-wd0.001

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shawgpt-ft-lr0.0002-wd0.001

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  1. README.md +13 -13
  2. runs/Oct22_10-26-50_99867d27916d/events.out.tfevents.1729592811.99867d27916d.882.38 +3 -0
  3. runs/Oct22_11-37-15_99867d27916d/events.out.tfevents.1729597035.99867d27916d.882.62 +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: 1.3126
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  ## Model description
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@@ -51,18 +51,18 @@ 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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- | 3.0381 | 0.9231 | 3 | 2.4992 |
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- | 2.3477 | 1.8462 | 6 | 1.9579 |
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- | 1.8587 | 2.7692 | 9 | 1.6834 |
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- | 1.1848 | 4.0 | 13 | 1.4879 |
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- | 1.4757 | 4.9231 | 16 | 1.4086 |
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- | 1.3626 | 5.8462 | 19 | 1.3707 |
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- | 1.3014 | 6.7692 | 22 | 1.3461 |
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- | 0.9799 | 8.0 | 26 | 1.3250 |
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- | 1.279 | 8.9231 | 29 | 1.3174 |
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- | 1.2422 | 9.8462 | 32 | 1.3141 |
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- | 1.2599 | 10.7692 | 35 | 1.3127 |
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- | 0.2131 | 11.0769 | 36 | 1.3126 |
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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: 1.7845
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:----:|:---------------:|
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+ | 4.6121 | 0.9231 | 3 | 4.0587 |
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+ | 4.2126 | 1.8462 | 6 | 3.6493 |
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+ | 3.7297 | 2.7692 | 9 | 3.2522 |
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+ | 2.4733 | 4.0 | 13 | 2.8156 |
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+ | 2.9598 | 4.9231 | 16 | 2.5689 |
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+ | 2.6551 | 5.8462 | 19 | 2.3614 |
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+ | 2.3985 | 6.7692 | 22 | 2.1826 |
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+ | 1.6623 | 8.0 | 26 | 1.9991 |
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+ | 2.0403 | 8.9231 | 29 | 1.8808 |
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+ | 1.9001 | 9.8462 | 32 | 1.8158 |
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+ | 1.8688 | 10.7692 | 35 | 1.7877 |
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+ | 0.3703 | 11.0769 | 36 | 1.7845 |
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  ### Framework versions
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