---
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: 0.4618
- Rewards/chosen: -0.7871
- Rewards/rejected: -6.6095
- Rewards/accuracies: 0.9375
- Rewards/margins: 5.8223
- Logps/rejected: -220.7533
- Logps/chosen: -104.2417
- Logits/rejected: -1.9929
- Logits/chosen: -2.4654

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5633        | 0.0   | 10   | 0.5184          | 0.0815         | -0.3179          | 1.0                | 0.3995          | -157.8381      | -95.5550     | -2.1002         | -2.5591       |
| 0.3936        | 0.0   | 20   | 0.2875          | 0.2689         | -1.1716          | 1.0                | 1.4404          | -166.3746      | -93.6817     | -2.0675         | -2.5604       |
| 0.2132        | 0.0   | 30   | 0.2000          | 0.0966         | -2.8012          | 0.9375             | 2.8977          | -182.6702      | -95.4047     | -2.0286         | -2.5520       |
| 0.034         | 0.0   | 40   | 0.4078          | -0.5324        | -5.2327          | 0.9375             | 4.7003          | -206.9856      | -101.6947    | -2.0143         | -2.4945       |
| 0.0665        | 0.0   | 50   | 0.4618          | -0.7871        | -6.6095          | 0.9375             | 5.8223          | -220.7533      | -104.2417    | -1.9929         | -2.4654       |


### Framework versions

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