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---
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
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