---
license: apache-2.0
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
tags:
- generated_from_trainer
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: 2.2177
- Rewards/chosen: -4.0177
- Rewards/rejected: -3.1669
- Rewards/accuracies: 0.5625
- Rewards/margins: -0.8508
- Logps/rejected: -609.4065
- Logps/chosen: -540.1581
- Logits/rejected: -0.8963
- Logits/chosen: -1.0179

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.7105        | 0.01  | 10   | 0.8032          | -0.5208        | -0.1762          | 0.5                | -0.3446         | -579.4993      | -505.1888    | -0.9201         | -1.0572       |
| 0.6608        | 0.01  | 20   | 1.0717          | -1.5841        | -1.1358          | 0.625              | -0.4482         | -589.0955      | -515.8216    | -0.9135         | -1.0449       |
| 0.7477        | 0.01  | 30   | 1.0619          | -1.4672        | -1.4134          | 0.5625             | -0.0539         | -591.8709      | -514.6534    | -0.9162         | -1.0480       |
| 0.7152        | 0.02  | 40   | 1.5518          | -2.5724        | -2.2804          | 0.5625             | -0.2919         | -600.5416      | -525.7047    | -0.9079         | -1.0351       |
| 0.8106        | 0.03  | 50   | 2.2177          | -4.0177        | -3.1669          | 0.5625             | -0.8508         | -609.4065      | -540.1581    | -0.8963         | -1.0179       |


### Framework versions

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