Debug a Bad Loss Curve
Diagnose common training issues from training and validation loss patterns.
The chart Training loss falls, validation loss improves until epoch 8, then validation gets worse while training keeps improving. The curve is warning that more training may make the deployed model worse. Loss-curve reading Pattern -> diagnosis -> training move A training chart only helps if you compare training and validation behavior together. Reflex Run more epochs A training action matched to the evidence. Training loss tells you fit to examples; validation loss tells you whether the fit transfers. 01 Compare 02 Diagnose 03 Try Two curves Training loss keeps falling after epoch 8. Validation loss starts rising.
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