sepzyd/Qwen2-biomed-nli-EEC

Fine-tuned Qwen2 on Biomedical Entailment Classification

This model was fine-tuned from Qwen2-7B-Instruct using LoRA on the NLI4CT dataset (SemEval 2024). It is designed for entailment classification in the biomedical domain.

Base Model

• Qwen2-7B-Instruct

Dataset

• NLI4CT (Breast Cancer Clinical Trial Reports)

Fine-Tuning Details

• LoRA-based lightweight fine-tuning
• 1,700 training and 200 validation examples
• Task: binary entailment (Entailment vs. Contradiction)

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("your-username/qwen2-biomed-nli-eec")
tokenizer = AutoTokenizer.from_pretrained("your-username/qwen2-biomed-nli-eec")