---
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: 0.7067
- Rewards/chosen: 0.0088
- Rewards/rejected: -0.0947
- Rewards/accuracies: 0.625
- Rewards/margins: 0.1035
- Logps/rejected: -172.7847
- Logps/chosen: -98.3108
- Logits/rejected: -2.0623
- Logits/chosen: -1.9279

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6744        | 0.005 | 10   | 0.6970          | -0.0186        | -0.0266          | 0.6875             | 0.0080          | -172.1035      | -98.5849     | -2.0765         | -1.9425       |
| 0.7073        | 0.01  | 20   | 0.7152          | -0.0388        | -0.0448          | 0.4375             | 0.0060          | -172.2850      | -98.7869     | -2.0706         | -1.9392       |
| 0.7287        | 0.015 | 30   | 0.7197          | 0.0026         | -0.0203          | 0.625              | 0.0230          | -172.0406      | -98.3726     | -2.0688         | -1.9317       |
| 0.701         | 0.02  | 40   | 0.7120          | 0.0131         | -0.0600          | 0.625              | 0.0731          | -172.4374      | -98.2679     | -2.0641         | -1.9302       |
| 0.6726        | 0.025 | 50   | 0.7067          | 0.0088         | -0.0947          | 0.625              | 0.1035          | -172.7847      | -98.3108     | -2.0623         | -1.9279       |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.0.1+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1