---
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: 1.5203
- Rewards/chosen: 4.8953
- Rewards/rejected: -6.8710
- Rewards/accuracies: 0.875
- Rewards/margins: 11.7663
- Logps/rejected: -512.2221
- Logps/chosen: -446.3599
- Logits/rejected: -2.4853
- Logits/chosen: -2.3998

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6384        | 0.025 | 10   | 0.9029          | 0.3196         | -0.5976          | 0.8125             | 0.9171          | -449.4874      | -492.1170    | -2.5249         | -2.3642       |
| 0.0586        | 0.05  | 20   | 1.6495          | 2.8410         | -4.2864          | 0.8125             | 7.1274          | -486.3763      | -466.9029    | -2.5061         | -2.3959       |
| 0.0116        | 0.075 | 30   | 1.5584          | 4.2892         | -6.0162          | 0.8125             | 10.3053         | -503.6734      | -452.4211    | -2.4984         | -2.4059       |
| 1.7733        | 0.1   | 40   | 1.5091          | 4.7449         | -6.6237          | 0.8125             | 11.3687         | -509.7491      | -447.8633    | -2.4894         | -2.4020       |
| 0.0           | 0.125 | 50   | 1.5203          | 4.8953         | -6.8710          | 0.875              | 11.7663         | -512.2221      | -446.3599    | -2.4853         | -2.3998       |


### Framework versions

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