Quiz: Can You Diagnose All Four Training Scenarios From Their Loss Curves?
cneuralnetwork · x · 2026-11-03
@cneuralnetwork shares a quiz with four loss-curve plots (blue = training loss, orange = validation loss) and asks readers to guess the training behavior behind each.
- A: Both curves descend smoothly and converge, validation slightly higher — healthy training.
- B: Training loss keeps falling while validation loss dips then climbs — classic overfitting.
- C: Both curves oscillate wildly — instability from too-high learning rate or tiny batches.
- D: Noisy but steady decline on both — normal convergence with regularization or a smaller learning rate.
A nice exercise in reading loss curves to diagnose training runs.
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