---
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: 0.0323
- Rewards/chosen: -1.0831
- Rewards/rejected: -9.5400
- Rewards/accuracies: 1.0
- Rewards/margins: 8.4569
- Logps/rejected: -319.0484
- Logps/chosen: -82.1537
- Logits/rejected: -2.6023
- Logits/chosen: -2.2419

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.556         | 0.0   | 10   | 0.4270          | 0.0181         | -0.6933          | 1.0                | 0.7114          | -230.5818      | -71.1419     | -2.6557         | -2.3264       |
| 0.3645        | 0.0   | 20   | 0.1583          | 0.1759         | -2.5866          | 1.0                | 2.7625          | -249.5149      | -69.5636     | -2.6400         | -2.3441       |
| 0.2037        | 0.0   | 30   | 0.0681          | 0.0985         | -5.0474          | 1.0                | 5.1459          | -274.1230      | -70.3379     | -2.6245         | -2.3228       |
| 0.0315        | 0.0   | 40   | 0.0431          | -0.9146        | -8.5841          | 1.0                | 7.6695          | -309.4896      | -80.4684     | -2.6094         | -2.3791       |
| 0.0655        | 0.0   | 50   | 0.0323          | -1.0831        | -9.5400          | 1.0                | 8.4569          | -319.0484      | -82.1537     | -2.6023         | -2.2419       |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.0.1+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2