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G : GENERALIZATION BEYOND OVERFIT S ALGORITHMIC …
architecture, training hyperparameters and tokenization can be found in Appendix A.1. 3 EXPERIMENTS 3.1 GENERALIZATION BEYOND OVERFITTING Deep learning practitioners are used to seeing small improvements in validation accuracy after validation loss stops decreasing. A double descent of validation loss has been documented in some
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