---
license: apache-2.0
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
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: 0.1934
- Rewards/chosen: 1.5646
- Rewards/rejected: -0.8402
- Rewards/accuracies: 1.0
- Rewards/margins: 2.4048
- Logps/rejected: -45.4271
- Logps/chosen: -277.5632
- Logits/rejected: -1.3185
- Logits/chosen: -2.0273

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6717        | 0.01  | 10   | 0.5892          | 0.1318         | -0.0930          | 0.75               | 0.2248          | -37.9552       | -291.8918    | -1.2049         | -2.0262       |
| 0.5298        | 0.02  | 20   | 0.3756          | 0.6965         | -0.3112          | 1.0                | 1.0078          | -40.1375       | -286.2441    | -1.2959         | -2.0576       |
| 0.3325        | 0.03  | 30   | 0.2663          | 1.1580         | -0.4907          | 1.0                | 1.6486          | -41.9316       | -281.6295    | -1.3242         | -2.0582       |
| 0.2179        | 0.04  | 40   | 0.2153          | 1.4040         | -0.7133          | 1.0                | 2.1173          | -44.1586       | -279.1697    | -1.3211         | -2.0374       |
| 0.1683        | 0.06  | 50   | 0.1934          | 1.5646         | -0.8402          | 1.0                | 2.4048          | -45.4271       | -277.5632    | -1.3185         | -2.0273       |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0