tensorboard safetensors trl dpo 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:
- trl
- dpo
- 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: 0.6599
- Rewards/chosen: 0.0397
- Rewards/rejected: -0.0752
- Rewards/accuracies: 0.9375
- Rewards/margins: 0.1149
- Logps/rejected: -164.5962
- Logps/chosen: -292.6904
- Logits/rejected: -2.6901
- Logits/chosen: -2.3670

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6819        | 0.01  | 10   | 0.6600          | 0.0491         | -0.0050          | 1.0                | 0.0540          | -163.8940      | -292.5971    | -2.6930         | -2.3675       |
| 0.7106        | 0.01  | 20   | 0.6787          | 0.0460         | 0.0162           | 0.5625             | 0.0298          | -163.6827      | -292.6277    | -2.6971         | -2.3713       |
| 0.6487        | 0.01  | 30   | 0.6889          | 0.0454         | -0.0002          | 0.8125             | 0.0456          | -163.8460      | -292.6334    | -2.6960         | -2.3700       |
| 0.5981        | 0.02  | 40   | 0.6718          | 0.0307         | -0.0583          | 0.9375             | 0.0890          | -164.4272      | -292.7806    | -2.6928         | -2.3685       |
| 0.6573        | 0.03  | 50   | 0.6599          | 0.0397         | -0.0752          | 0.9375             | 0.1149          | -164.5962      | -292.6904    | -2.6901         | -2.3670       |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.17.0
- Tokenizers 0.15.1
