---
library_name: peft
base_model: Qwen/Qwen1.5-0.5B-Chat
---

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

Qwen1.5-0.5B-Chat DPO fine-tuned on the dataset that consists of 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 various EPFL courses.

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

## Training Details

### Training Data

Training data is not publicly available.

### Training Procedure

#### Training Hyperparameters

- **Training regime:** cDPO with bf16 mixed precision, $\beta=0.2$, $lr=3 \times 10^{-6}$, and $label_smoothing=0.2$

- PEFT 0.10.0