---
license: apache-2.0
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
model-index:
- name: openhermes-mistral-dpo-gptq
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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: 1.0134
- Rewards/chosen: 7.8160
- Rewards/rejected: 8.7194
- Rewards/accuracies: 0.375
- Rewards/margins: -0.9034
- Logps/rejected: -146.7816
- Logps/chosen: -235.0709
- Logits/rejected: -2.1916
- Logits/chosen: -2.6628

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 50
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6763        | 0.005 | 10   | 0.7302          | 0.0677         | 0.1589           | 0.1875             | -0.0912         | -232.3873      | -312.5545    | -2.1541         | -2.6006       |
| 0.7076        | 0.01  | 20   | 0.7628          | 0.0161         | 0.1965           | 0.25               | -0.1804         | -232.0109      | -313.0701    | -2.1614         | -2.6040       |
| 0.6925        | 0.015 | 30   | 0.7999          | 0.1974         | 0.5152           | 0.25               | -0.3179         | -228.8234      | -311.2576    | -2.1717         | -2.6192       |
| 0.6966        | 0.02  | 40   | 0.8630          | 0.7996         | 1.2680           | 0.3125             | -0.4684         | -221.2960      | -305.2355    | -2.1636         | -2.6203       |
| 0.6764        | 0.025 | 50   | 1.0134          | 7.8160         | 8.7194           | 0.375              | -0.9034         | -146.7816      | -235.0709    | -2.1916         | -2.6628       |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.0.1+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1