---
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: 0.1947
- Rewards/chosen: 1.6152
- Rewards/rejected: -0.7739
- Rewards/accuracies: 1.0
- Rewards/margins: 2.3891
- Logps/rejected: -44.7556
- Logps/chosen: -277.0341
- Logits/rejected: -1.2926
- Logits/chosen: -2.0369

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6696        | 0.01  | 10   | 0.5880          | 0.1428         | -0.0848          | 0.75               | 0.2276          | -37.8643       | -291.7574    | -1.2055         | -2.0304       |
| 0.5209        | 0.02  | 20   | 0.3704          | 0.7380         | -0.2765          | 1.0                | 1.0145          | -39.7818       | -285.8060    | -1.2770         | -2.0614       |
| 0.3319        | 0.03  | 30   | 0.2640          | 1.1988         | -0.4424          | 1.0                | 1.6412          | -41.4403       | -281.1980    | -1.3008         | -2.0673       |
| 0.216         | 0.04  | 40   | 0.2150          | 1.4326         | -0.6569          | 1.0                | 2.0896          | -43.5858       | -278.8598    | -1.2972         | -2.0492       |
| 0.1711        | 0.06  | 50   | 0.1947          | 1.6152         | -0.7739          | 1.0                | 2.3891          | -44.7556       | -277.0341    | -1.2926         | -2.0369       |


### Framework versions

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