---
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: 0.6066
- Rewards/chosen: 0.0894
- Rewards/rejected: -0.0023
- Rewards/accuracies: 0.5
- Rewards/margins: 0.0917
- Logps/rejected: -158.0340
- Logps/chosen: -152.2324
- Logits/rejected: -2.3521
- Logits/chosen: -2.4734

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6778        | 0.01  | 10   | 0.6796          | -0.0179        | -0.0353          | 0.625              | 0.0174          | -158.3634      | -153.3049    | -2.3602         | -2.4849       |
| 0.7178        | 0.01  | 20   | 0.6321          | 0.0123         | -0.0701          | 0.5625             | 0.0824          | -158.7113      | -153.0028    | -2.3602         | -2.4815       |
| 0.7263        | 0.01  | 30   | 0.6050          | 0.0538         | -0.0401          | 0.5                | 0.0939          | -158.4116      | -152.5882    | -2.3567         | -2.4779       |
| 0.6941        | 0.02  | 40   | 0.6047          | 0.0834         | -0.0114          | 0.5                | 0.0948          | -158.1251      | -152.2924    | -2.3545         | -2.4749       |
| 0.6889        | 0.03  | 50   | 0.6066          | 0.0894         | -0.0023          | 0.5                | 0.0917          | -158.0340      | -152.2324    | -2.3521         | -2.4734       |


### Framework versions

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