Update best loss to [0.07599569857120514] and save model Update best loss to [0.06704698503017426] and save model Update best loss to [0.059660863131284714] and save model Update best loss to [0.05721749737858772] and save model Update best loss to [0.05528746917843819] and save model Update best loss to [0.05387483909726143] and save model Update best loss to [0.05139615014195442] and save model Update best loss to [0.05045817419886589] and save model Update best loss to [0.04952310770750046] and save model Update best loss to [0.04559064656496048] and save model Update best loss to [0.0410730205476284] and save model Update best loss to [0.04062655568122864] and save model Update best loss to [0.03811253234744072] and save model Update best loss to [0.03506152331829071] and save model Update best loss to [0.03255877643823624] and save model Update best loss to [0.03180582821369171] and save model Update best loss to [0.029540779069066048] and save model Update best loss to [0.02799404412508011] and save model Update best loss to [0.02721196971833706] and save model Update best loss to [0.022926028817892075] and save model Update best loss to [0.022725148126482964] and save model Update best loss to [0.02219116874039173] and save model Update best loss to [0.021162400022149086] and save model Update best loss to [0.021104682236909866] and save model Update best loss to [0.019286764785647392] and save model Update best loss to [0.01823485642671585] and save model Update best loss to [0.018218420445919037] and save model Update best loss to [0.017042819410562515] and save model