---
license: apache-2.0
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: mistral-dpo
  results: []
pipeline_tag: conversational
---

<!-- 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: 0.0559
- Rewards/chosen: -0.6622
- Rewards/rejected: -5.8356
- Rewards/accuracies: 1.0
- Rewards/margins: 5.1735
- Logps/rejected: -138.0126
- Logps/chosen: -105.3292
- Logits/rejected: -2.5356
- Logits/chosen: -2.7185

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6666        | 0.01  | 10   | 0.5490          | 0.3763         | 0.0083           | 1.0                | 0.3680          | -79.5733       | -94.9446     | -2.6386         | -2.7333       |
| 0.439         | 0.01  | 20   | 0.2792          | 1.0686         | -0.2159          | 1.0                | 1.2845          | -81.8148       | -88.0209     | -2.6245         | -2.7868       |
| 0.1683        | 0.02  | 30   | 0.1116          | 1.0530         | -2.2150          | 1.0                | 3.2680          | -101.8059      | -88.1772     | -2.6157         | -2.7924       |
| 0.54          | 0.03  | 40   | 0.0719          | -0.1064        | -4.6952          | 1.0                | 4.5888          | -126.6084      | -99.7713     | -2.5649         | -2.7384       |
| 0.0965        | 0.03  | 50   | 0.0559          | -0.6622        | -5.8356          | 1.0                | 5.1735          | -138.0126      | -105.3292    | -2.5356         | -2.7185       |


### Framework versions

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