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Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
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Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
https://flashpapers.ai/p/kvmjpd4f78
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Alethea Power, Yuri Burda +3 more
cs.LG
2022
arXiv:2201.02177
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Training accuracy 100% steps:
< 10^3 steps
· Modular division mod 97 (50% split)
Validation accuracy 100% steps:
10^6 steps
· Modular division mod 97 (50% split)
Training accuracy 100% steps:
< 10^3 steps
· Modular division mod 97 (50% split)
Validation accuracy 100% steps:
10^6 steps
· Modular division mod 97 (50% split)