ake_ner/losses/0: 1.4879 - BertMultiTaskTop/weibo_fake_regression/losses/0: 0.7024 - BertMultiTaskTop/weibo_fake_vector_fit/losses/0: 0.1600 - BertMultiTaskTop/weibo_masklm/losses/0: 9.9203 - BertMultiTaskTop/weibo_premask_mlm/losses/0: 9.8009 - val_loss: 35.7190 - val_mean_acc: 0.2525 - val_fake_contrastive_learning_acc: 0.1667 - val_weibo_fake_cls_acc: 0.3750 - val_weibo_fake_ner_acc: 0.2159 - val_weibo_fake_regression_neg_mse: -1.0292 - val_weibo_fake_vector_fit_cos_sim: -0.3355 - val_BertMultiTaskTop/fa