---
library_name: transformers
license: mit
base_model: openai-community/gpt2
tags:
- trl
- dpo
- generated_from_trainer
datasets:
- piqa
model-index:
- name: HW2-dpo
  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. -->

# HW2-dpo

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: 0.8593
- Rewards/chosen: -13.9253
- Rewards/rejected: -15.1905
- Rewards/accuracies: 0.6644
- Rewards/margins: 1.2652
- Logps/rejected: -246.1538
- Logps/chosen: -231.6296
- Logits/rejected: -73.5328
- Logits/chosen: -73.9152

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.7148        | 0.2758 | 500  | 0.6866          | -2.4692        | -2.6207          | 0.6073             | 0.1516          | -120.4563      | -117.0685    | -93.4454        | -93.3709      |
| 0.6747        | 0.5516 | 1000 | 0.6612          | -4.3908        | -4.7275          | 0.6495             | 0.3367          | -141.5237      | -136.2848    | -91.8209        | -91.7481      |
| 0.6681        | 0.8275 | 1500 | 0.6704          | -5.5067        | -5.9227          | 0.6439             | 0.4161          | -153.4764      | -147.4433    | -87.9307        | -87.9442      |
| 0.5393        | 1.1033 | 2000 | 0.7086          | -6.7527        | -7.3196          | 0.6501             | 0.5669          | -167.4447      | -159.9034    | -87.8440        | -87.9360      |
| 0.3132        | 1.3791 | 2500 | 0.7451          | -9.5756        | -10.2276         | 0.6520             | 0.6520          | -196.5250      | -188.1325    | -86.2624        | -86.5916      |
| 0.3077        | 1.6549 | 3000 | 0.7269          | -9.8647        | -10.6512         | 0.6514             | 0.7865          | -200.7605      | -191.0236    | -89.7969        | -90.1133      |
| 0.2954        | 1.9308 | 3500 | 0.6959          | -9.1185        | -9.9717          | 0.6725             | 0.8531          | -193.9657      | -183.5620    | -87.1994        | -87.4444      |
| 0.1295        | 2.2066 | 4000 | 0.8306          | -13.7328       | -14.8923         | 0.6650             | 1.1595          | -243.1719      | -229.7044    | -74.6679        | -75.0498      |
| 0.0665        | 2.4824 | 4500 | 0.8662          | -14.5425       | -15.8052         | 0.6600             | 1.2626          | -252.3006      | -237.8021    | -75.1185        | -75.5275      |
| 0.0606        | 2.7582 | 5000 | 0.8593          | -13.9253       | -15.1905         | 0.6644             | 1.2652          | -246.1538      | -231.6296    | -73.5328        | -73.9152      |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1