---
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: 0.6864
- Rewards/chosen: -0.0176
- Rewards/rejected: -0.0077
- Rewards/accuracies: 0.3125
- Rewards/margins: -0.0098
- Logps/rejected: -168.4619
- Logps/chosen: -127.7056
- Logits/rejected: -2.4072
- Logits/chosen: -2.3077

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6768        | 0.005 | 10   | 0.6965          | 0.0206         | -0.0070          | 0.5625             | 0.0276          | -168.4548      | -127.3242    | -2.4001         | -2.3165       |
| 0.7062        | 0.01  | 20   | 0.7131          | 0.0043         | 0.0421           | 0.25               | -0.0378         | -167.9636      | -127.4874    | -2.4078         | -2.3156       |
| 0.7526        | 0.015 | 30   | 0.7101          | -0.0048        | 0.0478           | 0.125              | -0.0526         | -167.9063      | -127.5779    | -2.4088         | -2.3121       |
| 0.6946        | 0.02  | 40   | 0.7003          | -0.0144        | 0.0180           | 0.1875             | -0.0324         | -168.2044      | -127.6736    | -2.4087         | -2.3099       |
| 0.6728        | 0.025 | 50   | 0.6864          | -0.0176        | -0.0077          | 0.3125             | -0.0098         | -168.4619      | -127.7056    | -2.4072         | -2.3077       |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.0.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1