01
INTERNSHIP TRACK
Visual Classification Model Reproduction & Evaluation
EfficientNetV2 98.10% · StarNet 98.05%WORK PERFORMED
- 01Dataset preparation, training-script adjustment and evaluation workflows.
- 02Pretrained weights, fine-tuning, learning-rate, optimizer, scheduler, AMP, EMA and checkpoint-resume exploration.
- 03Accuracy, F1, confusion matrices and inference / compute comparison.
The explored model routes are not presented as a claim that every model was fully trained under one identical experiment.