---
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: 0.7095
- Rewards/chosen: -0.1860
- Rewards/rejected: -0.3362
- Rewards/accuracies: 0.4904
- Rewards/margins: 0.1502
- Logps/rejected: -269.4139
- Logps/chosen: -269.0661
- Logits/rejected: -2.0876
- Logits/chosen: -2.1662

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6952        | 0.0002 | 10   | 0.6717          | 0.1018         | 0.0250           | 0.5769             | 0.0769          | -265.8023      | -266.1874    | -2.1074         | -2.1866       |
| 0.7473        | 0.0003 | 20   | 0.6787          | 0.0390         | -0.0403          | 0.5192             | 0.0793          | -266.4547      | -266.8159    | -2.1064         | -2.1840       |
| 0.6557        | 0.0005 | 30   | 0.7320          | -0.2017        | -0.2789          | 0.4904             | 0.0772          | -268.8405      | -269.2226    | -2.0938         | -2.1716       |
| 0.8058        | 0.0007 | 40   | 0.7174          | -0.2018        | -0.3209          | 0.4808             | 0.1192          | -269.2612      | -269.2236    | -2.0878         | -2.1663       |
| 0.5939        | 0.0009 | 50   | 0.7095          | -0.1860        | -0.3362          | 0.4904             | 0.1502          | -269.4139      | -269.0661    | -2.0876         | -2.1662       |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.0.1+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1