After only a few epochs, a run's own loss, accuracy, gradient, and weight-norm telemetry predicts its final accuracy (R² = 0.92 to 0.99) and relative performance (AUC = 0.983 to 0.998) across six image-classification domains.
Abdelfattah, Abhinav Mehrotra, Łukasz Dudziak, and Nicholas D
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Predicting Deep Neural Network Training Outcomes from Early Training Telemetry
After only a few epochs, a run's own loss, accuracy, gradient, and weight-norm telemetry predicts its final accuracy (R² = 0.92 to 0.99) and relative performance (AUC = 0.983 to 0.998) across six image-classification domains.