---
license: apache-2.0
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
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: 0.5794
- Rewards/chosen: 0.3240
- Rewards/rejected: -0.1304
- Rewards/accuracies: 0.8125
- Rewards/margins: 0.4544
- Logps/rejected: -257.9009
- Logps/chosen: -299.4479
- Logits/rejected: -2.5816
- Logits/chosen: -2.4558

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6803        | 0.005 | 10   | 0.6477          | 0.1422         | -0.0051          | 0.9375             | 0.1472          | -256.6473      | -301.2661    | -2.5813         | -2.4540       |
| 0.7051        | 0.01  | 20   | 0.6019          | 0.1764         | -0.1259          | 0.9375             | 0.3023          | -257.8556      | -300.9241    | -2.5817         | -2.4542       |
| 0.7343        | 0.015 | 30   | 0.5848          | 0.1973         | -0.1493          | 0.875              | 0.3465          | -258.0895      | -300.7151    | -2.5833         | -2.4551       |
| 0.6977        | 0.02  | 40   | 0.5773          | 0.2710         | -0.1295          | 0.8125             | 0.4005          | -257.8920      | -299.9776    | -2.5815         | -2.4542       |
| 0.6483        | 0.025 | 50   | 0.5794          | 0.3240         | -0.1304          | 0.8125             | 0.4544          | -257.9009      | -299.4479    | -2.5816         | -2.4558       |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.0.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1