[AI Boostcamp Day 20] Training, Training and Training
What did I do today
- Stratified labeling (single person either in train or test dataset)
- Served transformation package
What I learned from others
- Use of augumentation like TTA, cutmix
- Early stopping
- Model is almost always about data -> importance of augmentation
What I should do tomorrow
- data rearrange -> place wrongly labeled data at the right place manually
- f1 loss
- try lots of models
Peer Session
Reflections
- Make a plan always!