cls/losses/0: 1.0909 - BertMultiTaskTop/weibo_fake_multi_cls/losses/0: 0.4924 - BertMultiTaskTop/weibo_fake_ner/losses/0: 1.4930 - BertMultiTaskTop/weibo_fake_regression/losses/0: 1.2120 - BertMultiTaskTop/weibo_fake_vector_fit/losses/0: 0.3722 - BertMultiTaskTop/weibo_masklm/losses/0: 9.9305 - BertMultiTaskTop/weibo_premask_mlm/losses/0: 9.7947 - val_loss: 37.0011 - val_mean_acc: 0.2857 - val_fake_contrastive_learning_acc: 0.1429 - val_weibo_fake_cls_acc: 0.5714 - val_weibo_fake_ner_acc: 0.1429 - val_weibo