---
library_name: transformers
license: mit
base_model: openai-community/gpt2
tags:
- trl
- dpo
- generated_from_trainer
datasets:
- piqa
model-index:
- name: dpo-model-output
  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. -->

# dpo-model-output

This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the piqa dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0022
- Rewards/chosen: -17.7008
- Rewards/rejected: -19.2025
- Rewards/accuracies: 0.6638
- Rewards/margins: 1.5016
- Logps/rejected: -283.3009
- Logps/chosen: -266.5706
- Logits/rejected: -79.0250
- Logits/chosen: -79.1854

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.717         | 1.0   | 3223 | 0.6773          | -6.7817        | -7.2423          | 0.6513             | 0.4606          | -163.6990      | -157.3790    | -76.4738        | -76.4513      |
| 0.3122        | 2.0   | 6446 | 0.7910          | -12.1665       | -13.1665         | 0.6675             | 1.0000          | -222.9408      | -211.2272    | -85.8639        | -85.9837      |
| 0.0481        | 3.0   | 9669 | 1.0022          | -17.7008       | -19.2025         | 0.6638             | 1.5016          | -283.3009      | -266.5706    | -79.0250        | -79.1854      |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.0.0
- Datasets 2.16.1
- Tokenizers 0.19.1