Pretrained T5 language weights give a persistent validation-loss advantage over random initialization for low-data time series forecasting, and the advantage does not vanish within the training budget.
Scaling laws for transfer, 2021
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Random Initialization Can't Catch Up: The Advantage of Language Model Transfer for Time Series Forecasting
Pretrained T5 language weights give a persistent validation-loss advantage over random initialization for low-data time series forecasting, and the advantage does not vanish within the training budget.