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: 0.6671
- Rewards/chosen: -0.4223
- Rewards/rejected: -1.9854
- Rewards/accuracies: 0.4375
- Rewards/margins: 1.5631
- Logps/rejected: -350.5416
- Logps/chosen: -220.8451
- Logits/rejected: -1.7880
- Logits/chosen: -1.7651

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6968        | 0.01  | 10   | 0.6686          | -0.0503        | -0.0549          | 0.5625             | 0.0046          | -331.2371      | -217.1252    | -1.8320         | -1.8255       |
| 0.6793        | 0.01  | 20   | 1.7619          | 0.2100         | 3.0956           | 0.3125             | -2.8856         | -299.7324      | -214.5222    | -1.9578         | -1.9436       |
| 0.6789        | 0.01  | 30   | 0.6364          | -0.2040        | -1.0884          | 0.4375             | 0.8843          | -341.5715      | -218.6622    | -1.8060         | -1.7894       |
| 0.6966        | 0.02  | 40   | 0.6716          | -0.2823        | -1.4572          | 0.4375             | 1.1749          | -345.2603      | -219.4454    | -1.7994         | -1.7786       |
| 0.8051        | 0.03  | 50   | 0.6671          | -0.4223        | -1.9854          | 0.4375             | 1.5631          | -350.5416      | -220.8451    | -1.7880         | -1.7651       |


### Framework versions

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