Overfitting

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Grokking: A dramatic example of generalization far after overfitting on an algorithmic dataset
Overfitting

Learning After Overfitting: Transformers Continue Learning After Overfitting Data

When a model trains too much, it can overfit, or memorize, the training data, which reduces its ability to analyze similar-but-different inputs. But what if training continues? New work found that overfitting isn’t the end of the line.

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