generated_from_trainer base_model:teknium/OpenHermes-2.5-Mistral-7B license:apache-2.0 region:us
---
license: apache-2.0
base_model: teknium/OpenHermes-2.5-Mistral-7B
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 [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5200
- Rewards/chosen: 0.4462
- Rewards/rejected: -0.0495
- Rewards/accuracies: 0.6875
- Rewards/margins: 0.4958
- Logps/rejected: -235.5496
- Logps/chosen: -196.8896
- Logits/rejected: -3.1546
- Logits/chosen: -3.2002

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.701         | 0.01  | 10   | 0.6011          | 0.2373         | 0.0723           | 0.375              | 0.1650          | -234.3308      | -198.9786    | -3.1345         | -3.1669       |
| 0.6827        | 0.01  | 20   | 0.5701          | 0.3490         | -0.0051          | 0.6875             | 0.3541          | -235.1054      | -197.8619    | -3.1513         | -3.1894       |
| 0.7041        | 0.01  | 30   | 0.5571          | 0.3683         | -0.0432          | 0.6875             | 0.4115          | -235.4866      | -197.6691    | -3.1811         | -3.2466       |
| 0.7273        | 0.02  | 40   | 0.5295          | 0.4324         | -0.0346          | 0.6875             | 0.4671          | -235.4007      | -197.0275    | -3.1709         | -3.2343       |
| 0.6139        | 0.03  | 50   | 0.5200          | 0.4462         | -0.0495          | 0.6875             | 0.4958          | -235.5496      | -196.8896    | -3.1546         | -3.2002       |


### Framework versions

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