---
license: apache-2.0
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
tags:
- trl
- dpo
- 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: 0.0012
- Rewards/chosen: 23.3318
- Rewards/rejected: -6.7489
- Rewards/accuracies: 1.0
- Rewards/margins: 30.0806
- Logps/rejected: -87.3513
- Logps/chosen: -337.4500
- Logits/rejected: -1.2781
- Logits/chosen: -1.6769

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5937        | 0.01  | 10   | 0.3601          | 0.7833         | -0.3607          | 0.9904             | 1.1441          | -23.4698       | -562.9344    | -1.1371         | -1.4401       |
| 0.0908        | 0.02  | 20   | 1.1245          | 8.8420         | -2.7352          | 0.9615             | 11.5772         | -47.2141       | -482.3473    | -1.1942         | -1.5504       |
| 0.0683        | 0.03  | 30   | 0.2541          | 17.6490        | -4.7403          | 0.9904             | 22.3893         | -67.2654       | -394.2778    | -1.2341         | -1.6426       |
| 0.0009        | 0.04  | 40   | 0.0015          | 22.5664        | -5.9863          | 1.0                | 28.5527         | -79.7251       | -345.1035    | -1.2763         | -1.6781       |
| 0.0003        | 0.05  | 50   | 0.0012          | 23.3318        | -6.7489          | 1.0                | 30.0806         | -87.3513       | -337.4500    | -1.2781         | -1.6769       |


### Framework versions

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