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

# openhermes-mistral-gptq-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: 0.8689
- Rewards/chosen: -1.0765
- Rewards/rejected: -0.9664
- Rewards/accuracies: 0.4800
- Rewards/margins: -0.1101
- Logps/rejected: -139.8855
- Logps/chosen: -135.5758
- Logits/rejected: -2.2110
- Logits/chosen: -2.2313

## 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: 0.0003
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6842        | 0.01  | 10   | 0.7768          | -0.4985        | -0.4411          | 0.5750             | -0.0574         | -134.6327      | -129.7961    | -2.2478         | -2.2667       |
| 0.8539        | 0.02  | 20   | 2.0287          | -9.4492        | -8.7234          | 0.4800             | -0.7258         | -217.4559      | -219.3030    | -1.5781         | -1.5859       |
| 0.9433        | 0.03  | 30   | 1.6915          | -7.3191        | -6.8845          | 0.5                | -0.4346         | -199.0667      | -198.0014    | -1.6865         | -1.6973       |
| 0.6295        | 0.04  | 40   | 0.9729          | -1.6986        | -1.5214          | 0.5200             | -0.1772         | -145.4362      | -141.7968    | -2.1859         | -2.2057       |
| 0.8681        | 0.05  | 50   | 0.8689          | -1.0765        | -0.9664          | 0.4800             | -0.1101         | -139.8855      | -135.5758    | -2.2110         | -2.2313       |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
