e3666af64d58a1b642e91834931161c32c135604,thinc/neural/train.py,Trainer,iterate,#Trainer#Any#Any#Any#Any#,41

Before Change

                yield X, y
                self.dropout = linear_decay(orig_dropout, self.dropout_decay,
                                            self.optimizer.nr_iter)
            accs = (score_model(model, dev_X, dev_Y), self._loss)
            print("Dev.: %.3f, %.3f loss" % accs, self._loss)
            self._loss = 0.

After Change

                yield X, y
                self.dropout = linear_decay(orig_dropout, self.dropout_decay,
                                            self.optimizer.nr_iter)
            acc = score_model(model, dev_X, dev_Y)
            stats = (acc, self._loss, self.dropout)
            print("Dev.: %.3f, loss %.3f. Drop %.2f" % stats)
            self._loss = 0.

Instances