---
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: 0.0132
- Rewards/chosen: -1.4792
- Rewards/rejected: -8.5855
- Rewards/accuracies: 1.0
- Rewards/margins: 7.1064
- Logps/rejected: -319.5252
- Logps/chosen: -138.4254
- Logits/rejected: -2.3872
- Logits/chosen: -2.5369

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5575        | 0.0   | 10   | 0.4017          | 0.0150         | -0.6143          | 1.0                | 0.6293          | -239.8125      | -123.4837    | -2.4102         | -2.6084       |
| 0.3781        | 0.0   | 20   | 0.1298          | -0.2390        | -2.2414          | 1.0                | 2.0025          | -256.0842      | -126.0231    | -2.3786         | -2.6120       |
| 0.219         | 0.0   | 30   | 0.0410          | -0.5640        | -4.3638          | 1.0                | 3.7998          | -277.3080      | -129.2739    | -2.3879         | -2.5872       |
| 0.038         | 0.0   | 40   | 0.0168          | -1.2083        | -7.3369          | 1.0                | 6.1286          | -307.0389      | -135.7168    | -2.3962         | -2.5566       |
| 0.0669        | 0.0   | 50   | 0.0132          | -1.4792        | -8.5855          | 1.0                | 7.1064          | -319.5252      | -138.4254    | -2.3872         | -2.5369       |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.0.1+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2