Training Run Forensics

Treat the run as evidence.

Intake

Ask for:

• loss/metric curves;
• optimizer, learning rate schedule, batch size, precision, regularization;
• train/validation samples or predictions;
• recent code/data changes;
• hardware/distributed setup if relevant.

Workflow