---
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: 0.0082
- Rewards/chosen: -0.7999
- Rewards/rejected: -11.8804
- Rewards/accuracies: 1.0
- Rewards/margins: 11.0804
- Logps/rejected: -383.9451
- Logps/chosen: -160.8140
- Logits/rejected: -2.4692
- Logits/chosen: -2.6059

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5652        | 0.0   | 10   | 0.4581          | 0.1358         | -0.6615          | 1.0                | 0.7973          | -271.7569      | -151.4569    | -2.4902         | -2.7008       |
| 0.3737        | 0.0   | 20   | 0.1877          | 0.0778         | -2.8831          | 1.0                | 2.9609          | -293.9724      | -152.0366    | -2.4897         | -2.6893       |
| 0.2022        | 0.0   | 30   | 0.0621          | -0.1154        | -6.0503          | 1.0                | 5.9349          | -325.6448      | -153.9687    | -2.4890         | -2.6603       |
| 0.0284        | 0.0   | 40   | 0.0155          | -0.5833        | -10.1231         | 1.0                | 9.5397          | -366.3722      | -158.6483    | -2.4792         | -2.6266       |
| 0.0593        | 0.0   | 50   | 0.0082          | -0.7999        | -11.8804         | 1.0                | 11.0804         | -383.9451      | -160.8140    | -2.4692         | -2.6059       |


### Framework versions

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