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--- |
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library_name: peft |
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base_model: Qwen/Qwen1.5-0.5B-Chat |
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--- |
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# Qwen1.5-0.5B-Chat with EPFL DPO fine-tuning |
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Qwen1.5-0.5B-Chat DPO fine-tuned on the dataset that consists of open-ended and |
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multiple choice questions from different EPFL courses. |
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## Model Details |
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### Model Description |
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The model was developed during the course Modern Natural Language Processing (CS-552). |
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Its aim is to fine-tune the base model (Qwen/Qwen1.5-0.5B-Chat) to accurately |
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answer open-ended and multiple-choice questions from various EPFL courses. |
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- **Developed by:** Emma Lise Boehly, Ahmed Aziz Ben Haj Hmida and Jan Kokla |
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- **Finetuned from model [optional]:** Qwen/Qwen1.5-0.5B-Chat |
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## Training Details |
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### Training Data |
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Training data is not publicly available. |
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### Training Procedure |
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#### Training Hyperparameters |
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- **Training regime:** cDPO with bf16 mixed precision, $\beta=0.2$, $lr=3 \times 10^{-6}$, and $label_smoothing=0.2$ |
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- PEFT 0.10.0 |
