🧠 LoRA Adapter for Llama-3.2-3B-Instruct (Multi-Class Classification)
📌 Model Overview
This repository contains a LoRA adapter fine-tuned on Meta-Llama/Llama-3.2-3B-Instruct for multi-class text classification.
The model predicts one of the following labels:
Yes, No, Neutral, (D), A, B, C, D, E, N, (C), (A)
This adapter can be applied to various text classification tasks and is optimized for efficiency using Low-Rank Adaptation (LoRA).
🚀 Training Details
Training Command
The LoRA adapter was trained using the following command:
bash
1python peft_training.py \2 --model-name meta-llama/Llama-3.2-3B-Instruct \3 --train-file ../GLoRE/data/splits/train.jsonl \4 --output-dir lora-multi \5 --classes Yes No Neutral "(D)" A B C D E N "(C)""(A)"
