 Training procedure The model was trained with a batch size of 16 and three learning rates (1e-5, 3e-5, 5e-5) for 5 epochs. We then selected the best learning rate (2e-5) and checkpoint (epoch 3) using the downstream task metric in the corresponding development set.  