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Study Practice Library Checks Plans

All cold checks

Multi-task learningExpertExperimental design8 min

Situation

Joint training improves a high-resource generation task while a low-resource classification task falls below its single-task baseline. Aggregate validation loss still looks healthy.

Build an ablation plan that separates sampling imbalance, gradient conflict, loss-scale mismatch, representation bottlenecks, and head-specific underfitting. What evidence would justify each intervention?

Your reasoning

Keep going

A different failure surface.

Post-training

The reward improves. The model gets worse.

Open check

Distributed training

Your DDP scale-up changed the experiment.

Open check

Model evaluation

The benchmark jumped after a data refresh.

Open check

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