---
license: apache-2.0
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
tags:
- 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: 0.5481
- Rewards/chosen: -6.3042
- Rewards/rejected: -6.6831
- Rewards/accuracies: 0.3125
- Rewards/margins: 0.3789
- Logps/rejected: -270.7899
- Logps/chosen: -222.5794
- Logits/rejected: -2.0400
- Logits/chosen: -2.0341

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6859        | 0.01  | 10   | 0.6666          | 0.0119         | -0.0301          | 0.5                | 0.0419          | -204.2597      | -159.4191    | -2.1849         | -2.1781       |
| 0.683         | 0.01  | 20   | 0.6372          | 0.0384         | -0.0380          | 0.3125             | 0.0763          | -204.3386      | -159.1542    | -2.1870         | -2.1765       |
| 0.7067        | 0.01  | 30   | 0.6194          | 0.0592         | -0.0362          | 0.3125             | 0.0954          | -204.3213      | -158.9460    | -2.1880         | -2.1773       |
| 0.6664        | 0.02  | 40   | 0.6159          | 0.0599         | -0.0264          | 0.3125             | 0.0862          | -204.2225      | -158.9388    | -2.1856         | -2.1759       |
| 0.786         | 0.03  | 50   | 0.5481          | -6.3042        | -6.6831          | 0.3125             | 0.3789          | -270.7899      | -222.5794    | -2.0400         | -2.0341       |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0