---
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: 0.5940
- Rewards/chosen: 0.0155
- Rewards/rejected: -0.3247
- Rewards/accuracies: 0.875
- Rewards/margins: 0.3402
- Logps/rejected: -329.5930
- Logps/chosen: -281.9707
- Logits/rejected: -2.2879
- Logits/chosen: -2.2211

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6766        | 0.01  | 10   | 0.7047          | -0.0328        | -0.0733          | 0.5                | 0.0405          | -327.0790      | -282.4540    | -2.2913         | -2.2181       |
| 0.7059        | 0.01  | 20   | 0.6603          | -0.0641        | -0.2367          | 0.8125             | 0.1726          | -328.7130      | -282.7669    | -2.2896         | -2.2224       |
| 0.6913        | 0.01  | 30   | 0.6036          | 0.0238         | -0.2729          | 0.875              | 0.2968          | -329.0755      | -281.8873    | -2.2889         | -2.2248       |
| 0.7003        | 0.02  | 40   | 0.5921          | 0.0259         | -0.3104          | 0.875              | 0.3364          | -329.4504      | -281.8663    | -2.2881         | -2.2227       |
| 0.6585        | 0.03  | 50   | 0.5940          | 0.0155         | -0.3247          | 0.875              | 0.3402          | -329.5930      | -281.9707    | -2.2879         | -2.2211       |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.0.1+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2