Model save

README.md

@@ -16,16 +16,6 @@ should probably proofread and complete it, then remove this comment. -->
 # openhermes-mistral-dpo-gptq
 
 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.
-It achieves the following results on the evaluation set:
-- Loss: 0.0522
-- Rewards/chosen: 0.2306
-- Rewards/rejected: -9.1473
-- Rewards/accuracies: 0.9940
-- Rewards/margins: 9.3779
-- Logps/rejected: -139.6582
-- Logps/chosen: -54.3255
-- Logits/rejected: -1.8763
-- Logits/chosen: -2.0675
 
 ## Model description
 
@@ -54,15 +44,6 @@ The following hyperparameters were used during training:
 - training_steps: 30
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
-|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
-| 0.4801        | 0.0   | 10   | 0.0657          | 0.3409         | -2.6602          | 0.9980             | 3.0011          | -74.7870       | -53.2224     | -2.0627         | -2.2254       |
-| 0.0563        | 0.0   | 20   | 0.0414          | 0.3013         | -7.6547          | 0.9940             | 7.9559          | -124.7320      | -53.6186     | -1.9099         | -2.1024       |
-| 0.0001        | 0.01  | 30   | 0.0522          | 0.2306         | -9.1473          | 0.9940             | 9.3779          | -139.6582      | -54.3255     | -1.8763         | -2.0675       |
-
-
 ### Framework versions
 
 - Transformers 4.35.2

runs/Feb17_22-12-20_1827e93c0501/events.out.tfevents.1708211737.1827e93c0501.461.1

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