---
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: nan
- Rewards/chosen: nan
- Rewards/rejected: nan
- Rewards/accuracies: 0.0
- Rewards/margins: nan
- Logps/rejected: nan
- Logps/chosen: nan
- Logits/rejected: nan
- Logits/chosen: nan

## 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: 2
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.3844        | 0.01  | 10   | nan             | nan            | nan              | 0.0                | nan             | nan            | nan          | nan             | nan           |
| 0.0           | 0.02  | 20   | nan             | nan            | nan              | 0.0                | nan             | nan            | nan          | nan             | nan           |
| 0.0           | 0.03  | 30   | nan             | nan            | nan              | 0.0                | nan             | nan            | nan          | nan             | nan           |
| 0.0           | 0.04  | 40   | nan             | nan            | nan              | 0.0                | nan             | nan            | nan          | nan             | nan           |
| 0.0           | 0.05  | 50   | nan             | nan            | nan              | 0.0                | nan             | nan            | nan          | nan             | nan           |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.0.1+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2