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

# orpo-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: 3.2999
- Rewards/chosen: -0.3182
- Rewards/rejected: -0.3369
- Rewards/accuracies: 0.6693
- Rewards/margins: 0.0187
- Logps/rejected: -3.3688
- Logps/chosen: -3.1821
- Logits/rejected: -24.5739
- Logits/chosen: -24.6603
- Nll Loss: 3.2330
- Log Odds Ratio: -0.6695
- Log Odds Chosen: 0.2013

## 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 | Nll Loss | Log Odds Ratio | Log Odds Chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
| 3.1799        | 1.0   | 3223 | 3.1575          | -0.2992        | -0.3103          | 0.6472             | 0.0111          | -3.1030        | -2.9917      | -16.2781        | -16.3180      | 3.0900   | -0.6758        | 0.1201          |
| 2.7077        | 2.0   | 6446 | 3.1544          | -0.3005        | -0.3160          | 0.6652             | 0.0154          | -3.1595        | -3.0051      | -21.7517        | -21.8387      | 3.0878   | -0.6671        | 0.1676          |
| 2.2691        | 3.0   | 9669 | 3.2999          | -0.3182        | -0.3369          | 0.6693             | 0.0187          | -3.3688        | -3.1821      | -24.5739        | -24.6603      | 3.2330   | -0.6695        | 0.2013          |


### Framework versions

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