_fake_regression_neg_mse: -1.0452 - val_weibo_fake_vector_fit_cos_sim: -0.3764 - val_BertMultiTaskTop/fake_contrastive_learning/simcse/losses/0: 13.1461 - val_BertMultiTaskTop/weibo_fake_cls/losses/0: 0.8110 - val_BertMultiTaskTop/weibo_fake_multi_cls/losses/0: 0.4187 - val_BertMultiTaskTop/weibo_fake_ner/losses/0: 1.5319 - val_BertMultiTaskTop/weibo_fake_regression/losses/0: 1.0452 - val_BertMultiTaskTop/weibo_fake_vector_fit/losses/0: 0.3764 - val_BertMultiTaskTop/weibo_masklm/losses/0: 9.9035 - val_BertM