---
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: 0.6780
- Rewards/chosen: 0.0314
- Rewards/rejected: -0.0026
- Rewards/accuracies: 0.6875
- Rewards/margins: 0.0340
- Logps/rejected: -157.6995
- Logps/chosen: -203.0707
- Logits/rejected: -2.3164
- Logits/chosen: -2.4209

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6932        | 0.01  | 10   | 0.6910          | -0.0090        | -0.0070          | 0.25               | -0.0020         | -157.7437      | -203.4745    | -2.3168         | -2.4207       |
| 0.6905        | 0.01  | 20   | 0.6893          | -0.0028        | -0.0049          | 0.1875             | 0.0022          | -157.7232      | -203.4128    | -2.3159         | -2.4207       |
| 0.6802        | 0.01  | 30   | 0.6868          | 0.0121         | -0.0011          | 0.6875             | 0.0132          | -157.6847      | -203.2636    | -2.3163         | -2.4206       |
| 0.6872        | 0.02  | 40   | 0.6790          | 0.0245         | -0.0033          | 0.6875             | 0.0278          | -157.7068      | -203.1401    | -2.3163         | -2.4207       |
| 0.7024        | 0.03  | 50   | 0.6780          | 0.0314         | -0.0026          | 0.6875             | 0.0340          | -157.6995      | -203.0707    | -2.3164         | -2.4209       |


### Framework versions

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