---
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: 1.4715
- Rewards/chosen: -1.6019
- Rewards/rejected: -1.3634
- Rewards/accuracies: 0.6875
- Rewards/margins: -0.2386
- Logps/rejected: -342.2072
- Logps/chosen: -321.4847
- Logits/rejected: -2.4409
- Logits/chosen: -2.4704

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6793        | 0.005 | 10   | 0.6783          | 0.1178         | 0.0391           | 0.5                | 0.0787          | -328.1823      | -304.2877    | -2.4405         | -2.4604       |
| 0.7008        | 0.01  | 20   | 0.6618          | 0.1939         | -0.0229          | 0.625              | 0.2168          | -328.8029      | -303.5266    | -2.4441         | -2.4621       |
| 0.706         | 0.015 | 30   | 0.7197          | 0.2223         | 0.0219           | 0.75               | 0.2004          | -328.3552      | -303.2429    | -2.4519         | -2.4654       |
| 0.6897        | 0.02  | 40   | 0.8159          | -0.1834        | -0.3501          | 0.75               | 0.1667          | -332.0744      | -307.2993    | -2.4459         | -2.4677       |
| 0.6443        | 0.025 | 50   | 1.4715          | -1.6019        | -1.3634          | 0.6875             | -0.2386         | -342.2072      | -321.4847    | -2.4409         | -2.4704       |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.0.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1