---
library_name: peft
base_model: Qwen/Qwen1.5-0.5B-Chat
language:
- en
pipeline_tag: text-generation
tags:
- chat
widget:
- text: "What is the sum of the first 10 positive integers?"
---

# Qwen1.5-0.5B-Chat with EPFL DPO fine-tuning

Qwen1.5-0.5B-Chat DPO fine-tuned on the Orca Math dataset that consists of ~200K grade school math word problems and open-ended and multiple choice questions from different EPFL courses.

## Model Details

### Model Description

The model was developed during the course Modern Natural Language Processing (CS-552). 
Its aim is to fine-tune the base model (Qwen/Qwen1.5-0.5B-Chat) to accurately 
answer open-ended and multiple-choice questions from Orca Math dataset and various EPFL courses.

- **Developed by:** Emma Lise Boehly, Ahmed Aziz Ben Haj Hmida and Jan Kokla
- **Finetuned from model:** Qwen/Qwen1.5-0.5B-Chat

## Training Details

### Training Data

HuggingFace dataset : microsoft/orca-math-word-problems-200k
The EPFL dataset is not publicly available.

### Training Procedure

#### Training Hyperparameters

- **Training regime:** The model is trained on EPFL dataset with cDPO with bf16 mixed precision, $\beta=0.2$, $lr=3 \times 10^{-6}$, and $label_smoothing=0.2$. It is then trained on Orca dataset but without label_smoothing and thus original DPO.

- PEFT 0.10.0