Slide 39
Slide 39 text
Experiment management
Managing experiments is quite important in SpaceNet challenges because:
■ participants must submit complete training and inference code with Dockerfile in TopCoder Marathon Matches style
■ hosts re-train and evaluate the models on their own server to determine the final score
I gave an ID to each experiment so that config, trained weight, log, git hash, inference results are linked with this ID
/mnt/efs/ exp_0100/
exp_0099/
exp_0101/
config_all.yaml
best_weight.pth
tensorboard.event
git_hash.txt
./run_training.py --config config_specific.yaml --exp_id 100
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