Emotion Classification - MiniLM (v1)

This is the v1 model for our MLOps Group Project (Group 2, IIT Jodhpur).

Model Details

• Architecture: microsoft/MiniLM-L12-H384-uncased
• Task: Text emotion classification (6 classes)
• Dataset: dair-ai/emotion
• Classes: sadness, joy, love, anger, fear, surprise

Training

• Platform: Kaggle GPU T4
• Epochs: 3
• Batch size: 16
• Learning rate: 3e-5
• Test Accuracy: 90.7%
• Test F1: 90.7%

Links

• GitHub Repo: https://github.com/nikhilsaini-iitj/MLOps_GroupProject
• Kaggle Notebook: https://www.kaggle.com/code/nikhilg25ait2067/kaggle-minilm
• W&B Dashboard: https://wandb.ai/g25ait2067-prom-iit-rajasthan/mlops-groupproject-v2
• Winning Model (v2): https://huggingface.co/Nikhil-iitj/emotion-electra

Team

• Nikhil Saini (G25AIT2067)
• Y Sharathchandrika (G25AIT2132)
• Sarthak Kapoor (G25AIT2098)
• Aryaveer Rathi (G25AIT2021)