---
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
library_name: peft
license: apache-2.0
tags:
- trl
- dpo
- generated_from_trainer
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: 0.9029
- Rewards/chosen: -0.1592
- Rewards/rejected: -0.0751
- Rewards/accuracies: 0.4375
- Rewards/margins: -0.0841
- Logps/rejected: -164.9728
- Logps/chosen: -207.7616
- Logits/rejected: -2.4937
- Logits/chosen: -2.5880

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6777        | 0.005 | 10   | 0.7136          | -0.0128        | -0.0514          | 0.5625             | 0.0386          | -164.7356      | -206.2971    | -2.4991         | -2.5809       |
| 0.6983        | 0.01  | 20   | 0.7209          | -0.0223        | -0.1062          | 0.625              | 0.0838          | -165.2831      | -206.3929    | -2.4962         | -2.5809       |
| 0.697         | 0.015 | 30   | 0.7341          | -0.0064        | -0.0583          | 0.6875             | 0.0519          | -164.8043      | -206.2330    | -2.4984         | -2.5864       |
| 0.6967        | 0.02  | 40   | 0.7473          | -0.0052        | -0.0485          | 0.4375             | 0.0433          | -164.7064      | -206.2214    | -2.4930         | -2.5857       |
| 0.6666        | 0.025 | 50   | 0.9029          | -0.1592        | -0.0751          | 0.4375             | -0.0841         | -164.9728      | -207.7616    | -2.4937         | -2.5880       |


### Framework versions

- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.0.1+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1