epoch 0: {'matthews_correlation': np.float64(0.45419775948437585)} , current_best_corr: 0.45419775948437585 train_loss: 0.48826876282691956
epoch 1: {'matthews_correlation': np.float64(0.5455413780751651)} , current_best_corr: 0.5455413780751651 train_loss: 0.34137481451034546
epoch 2: {'matthews_correlation': np.float64(0.5345812056811476)} , current_best_corr: 0.5455413780751651 train_loss: 0.4291788637638092
epoch 3: {'matthews_correlation': 0.0} , current_best_corr: 0.5455413780751651 train_loss: 0.31494778394699097
epoch 4: {'matthews_correlation': np.float64(0.48844719510050993)} , current_best_corr: 0.5455413780751651 train_loss: 0.25878408551216125
epoch 5: {'matthews_correlation': np.float64(0.6542367039869825)} , current_best_corr: 0.6542367039869825 train_loss: 0.08997290581464767
epoch 6: {'matthews_correlation': np.float64(0.6138859958577028)} , current_best_corr: 0.6542367039869825 train_loss: 0.08631626516580582
epoch 7: {'matthews_correlation': np.float64(0.548646528987586)} , current_best_corr: 0.6542367039869825 train_loss: 0.5222809910774231
epoch 8: {'matthews_correlation': np.float64(0.6364920160685674)} , current_best_corr: 0.6542367039869825 train_loss: 0.09008979052305222
epoch 9: {'matthews_correlation': np.float64(0.6752785726504847)} , current_best_corr: 0.6752785726504847 train_loss: 0.1523708999156952
epoch 10: {'matthews_correlation': np.float64(0.48844719510050993)} , current_best_corr: 0.6752785726504847 train_loss: 0.1509428322315216
epoch 11: {'matthews_correlation': np.float64(0.633541946511989)} , current_best_corr: 0.6752785726504847 train_loss: 0.23659101128578186
epoch 12: {'matthews_correlation': np.float64(0.6553462265049138)} , current_best_corr: 0.6752785726504847 train_loss: 0.7582802772521973
epoch 13: {'matthews_correlation': np.float64(0.6333205721749096)} , current_best_corr: 0.6752785726504847 train_loss: 0.33583885431289673
epoch 14: {'matthews_correlation': np.float64(0.6821865794489889)} , current_best_corr: 0.6821865794489889 train_loss: 0.1574968546628952
epoch 15: {'matthews_correlation': np.float64(0.6649428625303109)} , current_best_corr: 0.6821865794489889 train_loss: 1.2383029460906982
epoch 16: {'matthews_correlation': np.float64(0.6565021466238845)} , current_best_corr: 0.6821865794489889 train_loss: 0.005889677442610264
epoch 17: {'matthews_correlation': np.float64(0.6750024002589107)} , current_best_corr: 0.6821865794489889 train_loss: 0.015520724467933178
epoch 18: {'matthews_correlation': np.float64(0.6408106685693261)} , current_best_corr: 0.6821865794489889 train_loss: 0.021448181942105293
epoch 19: {'matthews_correlation': np.float64(0.6929867667417179)} , current_best_corr: 0.6929867667417179 train_loss: 0.008621721528470516
epoch 20: {'matthews_correlation': np.float64(0.6789720349470479)} , current_best_corr: 0.6929867667417179 train_loss: 0.15615059435367584
epoch 21: {'matthews_correlation': np.float64(0.670267087346549)} , current_best_corr: 0.6929867667417179 train_loss: 0.13249263167381287
epoch 22: {'matthews_correlation': np.float64(0.6445068186554717)} , current_best_corr: 0.6929867667417179 train_loss: 0.023601192981004715
epoch 23: {'matthews_correlation': np.float64(0.6872878490318988)} , current_best_corr: 0.6929867667417179 train_loss: 0.004789814818650484
epoch 24: {'matthews_correlation': np.float64(0.6747903525532605)} , current_best_corr: 0.6929867667417179 train_loss: 0.10949888080358505
epoch 25: {'matthews_correlation': np.float64(0.6579677841732349)} , current_best_corr: 0.6929867667417179 train_loss: 0.5695987343788147
epoch 26: {'matthews_correlation': np.float64(0.6480906778081594)} , current_best_corr: 0.6929867667417179 train_loss: 0.0036379972007125616
epoch 27: {'matthews_correlation': np.float64(0.6731942766893287)} , current_best_corr: 0.6929867667417179 train_loss: 0.0005414328188635409
epoch 28: {'matthews_correlation': np.float64(0.6711552864505742)} , current_best_corr: 0.6929867667417179 train_loss: 0.003938999027013779
epoch 29: {'matthews_correlation': np.float64(0.6787467870591007)} , current_best_corr: 0.6929867667417179 train_loss: 0.006843988783657551
epoch 30: {'matthews_correlation': np.float64(0.6674543512776282)} , current_best_corr: 0.6929867667417179 train_loss: 0.033010534942150116
epoch 31: {'matthews_correlation': np.float64(0.6745240504653597)} , current_best_corr: 0.6929867667417179 train_loss: 0.11032126098871231
epoch 32: {'matthews_correlation': np.float64(0.6877496416067463)} , current_best_corr: 0.6929867667417179 train_loss: 0.0038115079514682293
epoch 33: {'matthews_correlation': np.float64(0.682498663983676)} , current_best_corr: 0.6929867667417179 train_loss: 0.011745162308216095
epoch 34: {'matthews_correlation': np.float64(0.6945502803055943)} , current_best_corr: 0.6945502803055943 train_loss: 0.0917477086186409
epoch 35: {'matthews_correlation': np.float64(0.6841463068202717)} , current_best_corr: 0.6945502803055943 train_loss: 0.536080002784729
epoch 36: {'matthews_correlation': np.float64(0.6926931629421578)} , current_best_corr: 0.6945502803055943 train_loss: 0.007282726466655731
epoch 37: {'matthews_correlation': np.float64(0.669573406815581)} , current_best_corr: 0.6945502803055943 train_loss: 0.004228590521961451
epoch 38: {'matthews_correlation': np.float64(0.6750714362085527)} , current_best_corr: 0.6945502803055943 train_loss: 0.0013407068327069283
epoch 39: {'matthews_correlation': np.float64(0.6758829936616813)} , current_best_corr: 0.6945502803055943 train_loss: 0.00030568899819627404
