---
license: apache-2.0
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: mistral-dpo
  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. -->

# mistral-dpo

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: 0.0001
- Rewards/chosen: 2.5279
- Rewards/rejected: -6.8729
- Rewards/accuracies: 1.0
- Rewards/margins: 9.4009
- Logps/rejected: -86.5415
- Logps/chosen: -10.6380
- Logits/rejected: -2.2909
- Logits/chosen: -2.3250

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5916        | 0.09  | 10   | 0.3053          | 0.6309         | -0.4316          | 1.0                | 1.0625          | -22.1280       | -29.6084     | -2.4417         | -2.4765       |
| 0.127         | 0.19  | 20   | 0.0029          | 1.9393         | -4.1219          | 1.0                | 6.0612          | -59.0316       | -16.5245     | -2.3738         | -2.4158       |
| 0.0013        | 0.28  | 30   | 0.0003          | 2.3840         | -5.7860          | 1.0                | 8.1700          | -75.6720       | -12.0770     | -2.3067         | -2.3466       |
| 0.0002        | 0.37  | 40   | 0.0001          | 2.4704         | -6.5625          | 1.0                | 9.0328          | -83.4367       | -11.2135     | -2.2895         | -2.3248       |
| 0.0002        | 0.46  | 50   | 0.0001          | 2.5279         | -6.8729          | 1.0                | 9.4009          | -86.5415       | -10.6380     | -2.2909         | -2.3250       |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0