Closed TPF2017 closed 2 weeks ago
Hi @TPF2017!
Fine-tuning performance depends on a variety of factors, including hyperparameters such as the learning rate and training steps. If your dataset is small, it is possible that a specific selection of these hyperparameters (e.g., high learning rate or large number of step) worsens the performance. There are other potential causes such as distribution shifts in the time series.
After fine-tuning on a small data set, the performance on this data set is worse. Is this normal? What are the possible reasons?