_acc: 0.1667 - weibo_fake_cls_acc: 0.4286 - weibo_fake_ner_acc: 0.1688 - weibo_fake_regression_neg_mse: -1.2120 - weibo_fake_vector_fit_cos_sim: -0.3722 - BertMultiTaskTop/fake_contrastive_learning/simcse/losses/0: 2.4941 - BertMultiTaskTop/weibo_fake_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 - BertMultiTask