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haidermasood99/dpo-final

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README.md CHANGED
@@ -18,15 +18,15 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [TheBloke/OpenHermes-2-Mistral-7B-GPTQ](https://huggingface.co/TheBloke/OpenHermes-2-Mistral-7B-GPTQ) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6557
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- - Rewards/chosen: -0.0382
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- - Rewards/rejected: -0.1408
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- - Rewards/accuracies: 0.75
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- - Rewards/margins: 0.1027
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- - Logps/rejected: -129.7875
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- - Logps/chosen: -131.0592
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- - Logits/rejected: -2.0563
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- - Logits/chosen: -2.3077
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  ## Model description
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@@ -57,13 +57,13 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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- |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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- | 0.6769 | 0.005 | 10 | 0.6888 | -0.0796 | -0.0900 | 0.4375 | 0.0104 | -129.2791 | -131.4733 | -2.0870 | -2.3346 |
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- | 0.713 | 0.01 | 20 | 0.7072 | -0.1185 | -0.0997 | 0.4375 | -0.0188 | -129.3760 | -131.8626 | -2.0821 | -2.3307 |
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- | 0.7127 | 0.015 | 30 | 0.6886 | 0.0301 | 0.0180 | 0.5 | 0.0121 | -128.1994 | -130.3766 | -2.0743 | -2.3175 |
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- | 0.6974 | 0.02 | 40 | 0.6637 | 0.0450 | -0.0273 | 0.5 | 0.0722 | -128.6517 | -130.2277 | -2.0686 | -2.3128 |
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- | 0.6725 | 0.025 | 50 | 0.6557 | -0.0382 | -0.1408 | 0.75 | 0.1027 | -129.7875 | -131.0592 | -2.0563 | -2.3077 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [TheBloke/OpenHermes-2-Mistral-7B-GPTQ](https://huggingface.co/TheBloke/OpenHermes-2-Mistral-7B-GPTQ) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7095
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+ - Rewards/chosen: -0.1860
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+ - Rewards/rejected: -0.3362
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+ - Rewards/accuracies: 0.4904
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+ - Rewards/margins: 0.1502
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+ - Logps/rejected: -269.4139
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+ - Logps/chosen: -269.0661
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+ - Logits/rejected: -2.0876
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+ - Logits/chosen: -2.1662
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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+ |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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+ | 0.6952 | 0.0002 | 10 | 0.6717 | 0.1018 | 0.0250 | 0.5769 | 0.0769 | -265.8023 | -266.1874 | -2.1074 | -2.1866 |
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+ | 0.7473 | 0.0003 | 20 | 0.6787 | 0.0390 | -0.0403 | 0.5192 | 0.0793 | -266.4547 | -266.8159 | -2.1064 | -2.1840 |
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+ | 0.6557 | 0.0005 | 30 | 0.7320 | -0.2017 | -0.2789 | 0.4904 | 0.0772 | -268.8405 | -269.2226 | -2.0938 | -2.1716 |
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+ | 0.8058 | 0.0007 | 40 | 0.7174 | -0.2018 | -0.3209 | 0.4808 | 0.1192 | -269.2612 | -269.2236 | -2.0878 | -2.1663 |
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+ | 0.5939 | 0.0009 | 50 | 0.7095 | -0.1860 | -0.3362 | 0.4904 | 0.1502 | -269.4139 | -269.0661 | -2.0876 | -2.1662 |
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  ### Framework versions
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@@ -1,7 +1,7 @@
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  "inference_mode": true,
 
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