---
license: apache-2.0
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
tags:
- generated_from_trainer
model-index:
- name: mistral-dpo
  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. -->

# mistral-dpo

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: 0.6931
- Rewards/chosen: 0.0156
- Rewards/rejected: 0.0156
- Rewards/accuracies: 0.0
- Rewards/margins: 0.0
- Logps/rejected: -165.4536
- Logps/chosen: -165.4536
- Logits/rejected: -1.7890
- Logits/chosen: -1.7890

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6931        | 0.01  | 10   | 0.6931          | 0.0246         | 0.0246           | 0.0                | 0.0             | -165.3638      | -165.3638    | -1.7889         | -1.7889       |
| 0.6931        | 0.01  | 20   | 0.6931          | 0.0133         | 0.0133           | 0.0                | 0.0             | -165.4770      | -165.4770    | -1.7895         | -1.7895       |
| 0.6931        | 0.01  | 30   | 0.6931          | 0.0060         | 0.0060           | 0.0                | 0.0             | -165.5494      | -165.5494    | -1.7923         | -1.7923       |
| 0.6931        | 0.02  | 40   | 0.6931          | 0.0063         | 0.0063           | 0.0                | 0.0             | -165.5464      | -165.5464    | -1.7897         | -1.7897       |
| 0.6931        | 0.03  | 50   | 0.6931          | 0.0156         | 0.0156           | 0.0                | 0.0             | -165.4536      | -165.4536    | -1.7890         | -1.7890       |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0