---
license: apache-2.0
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
tags:
- trl
- dpo
- 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: 0.8471
- Rewards/chosen: -0.2589
- Rewards/rejected: -0.1510
- Rewards/accuracies: 0.375
- Rewards/margins: -0.1079
- Logps/rejected: -116.0277
- Logps/chosen: -111.7328
- Logits/rejected: -2.2331
- Logits/chosen: -2.3546

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6755        | 0.1   | 10   | 0.7298          | -0.0301        | -0.0035          | 0.375              | -0.0266         | -114.5520      | -109.4439    | -2.2395         | -2.3722       |
| 0.6379        | 0.2   | 20   | 0.7804          | -0.1600        | -0.1132          | 0.375              | -0.0468         | -115.6494      | -110.7433    | -2.2341         | -2.3621       |
| 0.7061        | 0.3   | 30   | 0.8180          | -0.2242        | -0.1463          | 0.375              | -0.0779         | -115.9803      | -111.3849    | -2.2357         | -2.3577       |
| 0.6503        | 0.4   | 40   | 0.8460          | -0.2548        | -0.1442          | 0.375              | -0.1106         | -115.9595      | -111.6915    | -2.2330         | -2.3554       |
| 0.9618        | 0.5   | 50   | 0.8471          | -0.2589        | -0.1510          | 0.375              | -0.1079         | -116.0277      | -111.7328    | -2.2331         | -2.3546       |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.17.0
- Tokenizers 0.15.2