tensorboard safetensors 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-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: 15.0898
- Rewards/chosen: -39.8716
- Rewards/rejected: -3.6932
- Rewards/accuracies: 0.1875
- Rewards/margins: -36.1783
- Logps/rejected: -252.6567
- Logps/chosen: -699.3276
- Logits/rejected: -1.1624
- Logits/chosen: -1.4009

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6897        | 0.01  | 10   | 0.6981          | -0.0237        | -0.0260          | 0.4375             | 0.0023          | -215.9846      | -300.8488    | -1.8495         | -2.0704       |
| 0.685         | 0.01  | 20   | 0.6805          | -0.0489        | -0.0934          | 0.5                | 0.0446          | -216.6584      | -301.1003    | -1.8466         | -2.0623       |
| 0.7153        | 0.01  | 30   | 0.6583          | 0.0084         | -0.1588          | 0.5                | 0.1672          | -217.3122      | -300.5275    | -1.8462         | -2.0615       |
| 0.7148        | 0.02  | 40   | 14.5562         | -38.4731       | -3.6173          | 0.25               | -34.8558        | -251.8970      | -685.3425    | -1.1606         | -1.4120       |
| 0.8198        | 0.03  | 50   | 15.0898         | -39.8716       | -3.6932          | 0.1875             | -36.1783        | -252.6567      | -699.3276    | -1.1624         | -1.4009       |


### Framework versions

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