---
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: 0.6643
- Rewards/chosen: 0.0014
- Rewards/rejected: -0.0701
- Rewards/accuracies: 0.8125
- Rewards/margins: 0.0714
- Logps/rejected: -216.5143
- Logps/chosen: -215.7596
- Logits/rejected: -2.5311
- Logits/chosen: -2.5242

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6845        | 0.01  | 10   | 0.6884          | 0.0077         | -0.0181          | 0.6875             | 0.0258          | -215.9950      | -215.6967    | -2.5278         | -2.5201       |
| 0.7249        | 0.01  | 20   | 0.6905          | -0.0073        | -0.0256          | 0.75               | 0.0183          | -216.0695      | -215.8464    | -2.5330         | -2.5253       |
| 0.6441        | 0.01  | 30   | 0.6808          | 0.0070         | -0.0255          | 0.75               | 0.0325          | -216.0689      | -215.7035    | -2.5350         | -2.5269       |
| 0.6393        | 0.02  | 40   | 0.6657          | -0.0032        | -0.0731          | 0.875              | 0.0699          | -216.5449      | -215.8051    | -2.5327         | -2.5248       |
| 0.6818        | 0.03  | 50   | 0.6643          | 0.0014         | -0.0701          | 0.8125             | 0.0714          | -216.5143      | -215.7596    | -2.5311         | -2.5242       |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0