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shawgpt-ft

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pranavGenAI/ESGRFP-ft

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  1. README.md +11 -11
  2. adapter_model.safetensors +1 -1
  3. runs/May05_16-32-16_a653ce2fb81f/events.out.tfevents.1714926743.a653ce2fb81f.157.0 +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: 2.6818
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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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- | 4.0824 | 0.9231 | 3 | 4.1758 |
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- | 3.6576 | 1.8462 | 6 | 3.6544 |
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- | 3.1555 | 2.7692 | 9 | 3.2104 |
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- | 2.1033 | 4.0 | 13 | 2.9362 |
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- | 2.6127 | 4.9231 | 16 | 2.8504 |
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- | 2.4864 | 5.8462 | 19 | 2.7885 |
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- | 2.3841 | 6.7692 | 22 | 2.7398 |
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- | 1.7399 | 8.0 | 26 | 2.6975 |
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- | 2.2769 | 8.9231 | 29 | 2.6833 |
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- | 1.5 | 9.2308 | 30 | 2.6818 |
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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: 2.6867
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 4.0832 | 0.9231 | 3 | 4.1794 |
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+ | 3.6615 | 1.8462 | 6 | 3.6643 |
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+ | 3.1631 | 2.7692 | 9 | 3.2256 |
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+ | 2.1013 | 4.0 | 13 | 2.9286 |
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+ | 2.6005 | 4.9231 | 16 | 2.8400 |
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+ | 2.4725 | 5.8462 | 19 | 2.7868 |
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+ | 2.3699 | 6.7692 | 22 | 2.7427 |
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+ | 1.728 | 8.0 | 26 | 2.7016 |
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+ | 2.2633 | 8.9231 | 29 | 2.6882 |
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+ | 1.4946 | 9.2308 | 30 | 2.6867 |
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  ### Framework versions
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