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enkhtogtokh/mistral-dpo

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README.md CHANGED
@@ -17,15 +17,15 @@ 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: 0.0012
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- - Rewards/chosen: 23.3318
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- - Rewards/rejected: -6.7489
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  - Rewards/accuracies: 1.0
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- - Rewards/margins: 30.0806
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- - Logps/rejected: -87.3513
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- - Logps/chosen: -337.4500
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- - Logits/rejected: -1.2781
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- - Logits/chosen: -1.6769
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  ## Model description
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@@ -58,11 +58,11 @@ The following hyperparameters were used during training:
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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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- | 0.5937 | 0.01 | 10 | 0.3601 | 0.7833 | -0.3607 | 0.9904 | 1.1441 | -23.4698 | -562.9344 | -1.1371 | -1.4401 |
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- | 0.0908 | 0.02 | 20 | 1.1245 | 8.8420 | -2.7352 | 0.9615 | 11.5772 | -47.2141 | -482.3473 | -1.1942 | -1.5504 |
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- | 0.0683 | 0.03 | 30 | 0.2541 | 17.6490 | -4.7403 | 0.9904 | 22.3893 | -67.2654 | -394.2778 | -1.2341 | -1.6426 |
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- | 0.0009 | 0.04 | 40 | 0.0015 | 22.5664 | -5.9863 | 1.0 | 28.5527 | -79.7251 | -345.1035 | -1.2763 | -1.6781 |
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- | 0.0003 | 0.05 | 50 | 0.0012 | 23.3318 | -6.7489 | 1.0 | 30.0806 | -87.3513 | -337.4500 | -1.2781 | -1.6769 |
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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: 0.0001
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+ - Rewards/chosen: 2.5279
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+ - Rewards/rejected: -6.8729
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  - Rewards/accuracies: 1.0
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+ - Rewards/margins: 9.4009
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+ - Logps/rejected: -86.5415
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+ - Logps/chosen: -10.6380
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+ - Logits/rejected: -2.2909
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+ - Logits/chosen: -2.3250
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  ## Model description
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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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+ | 0.5916 | 0.09 | 10 | 0.3053 | 0.6309 | -0.4316 | 1.0 | 1.0625 | -22.1280 | -29.6084 | -2.4417 | -2.4765 |
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+ | 0.127 | 0.19 | 20 | 0.0029 | 1.9393 | -4.1219 | 1.0 | 6.0612 | -59.0316 | -16.5245 | -2.3738 | -2.4158 |
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+ | 0.0013 | 0.28 | 30 | 0.0003 | 2.3840 | -5.7860 | 1.0 | 8.1700 | -75.6720 | -12.0770 | -2.3067 | -2.3466 |
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+ | 0.0002 | 0.37 | 40 | 0.0001 | 2.4704 | -6.5625 | 1.0 | 9.0328 | -83.4367 | -11.2135 | -2.2895 | -2.3248 |
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+ | 0.0002 | 0.46 | 50 | 0.0001 | 2.5279 | -6.8729 | 1.0 | 9.4009 | -86.5415 | -10.6380 | -2.2909 | -2.3250 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -1,7 +1,7 @@
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@@ -19,8 +19,8 @@
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  }
 
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