epoch 0: {'matthews_correlation': np.float64(0.3791372485356886)} , current_best_corr: 0.3791372485356886 train_loss: 0.5235323905944824
epoch 1: {'matthews_correlation': np.float64(0.4780170126266128)} , current_best_corr: 0.4780170126266128 train_loss: 0.39604201912879944
epoch 2: {'matthews_correlation': np.float64(0.5458278835785596)} , current_best_corr: 0.5458278835785596 train_loss: 0.36850494146347046
epoch 3: {'matthews_correlation': np.float64(0.45247851615567836)} , current_best_corr: 0.5458278835785596 train_loss: 0.31694987416267395
epoch 4: {'matthews_correlation': np.float64(0.40786828270954234)} , current_best_corr: 0.5458278835785596 train_loss: 0.6321504712104797
epoch 5: {'matthews_correlation': np.float64(0.5237298450652518)} , current_best_corr: 0.5458278835785596 train_loss: 0.6237732172012329
epoch 6: {'matthews_correlation': np.float64(0.521189146186809)} , current_best_corr: 0.5458278835785596 train_loss: 0.5201712846755981
epoch 7: {'matthews_correlation': np.float64(0.48891342062678605)} , current_best_corr: 0.5458278835785596 train_loss: 0.8493521809577942
epoch 8: {'matthews_correlation': np.float64(0.5799430467655852)} , current_best_corr: 0.5799430467655852 train_loss: 0.13222461938858032
epoch 9: {'matthews_correlation': np.float64(0.5828920064390912)} , current_best_corr: 0.5828920064390912 train_loss: 0.1795867532491684
epoch 10: {'matthews_correlation': np.float64(0.5320268278817644)} , current_best_corr: 0.5828920064390912 train_loss: 0.15324315428733826
epoch 11: {'matthews_correlation': np.float64(0.567550266689718)} , current_best_corr: 0.5828920064390912 train_loss: 0.47489312291145325
epoch 12: {'matthews_correlation': np.float64(0.5981172563866908)} , current_best_corr: 0.5981172563866908 train_loss: 0.2581973373889923
epoch 13: {'matthews_correlation': np.float64(0.5859365260699386)} , current_best_corr: 0.5981172563866908 train_loss: 0.25874921679496765
epoch 14: {'matthews_correlation': np.float64(0.6194798387764078)} , current_best_corr: 0.6194798387764078 train_loss: 0.7177425026893616
epoch 15: {'matthews_correlation': np.float64(0.5460759369623152)} , current_best_corr: 0.6194798387764078 train_loss: 0.3076155483722687
epoch 16: {'matthews_correlation': np.float64(0.5817204905054675)} , current_best_corr: 0.6194798387764078 train_loss: 0.13246451318264008
epoch 17: {'matthews_correlation': np.float64(0.5752957675685068)} , current_best_corr: 0.6194798387764078 train_loss: 0.016594579443335533
epoch 18: {'matthews_correlation': np.float64(0.49042589796885067)} , current_best_corr: 0.6194798387764078 train_loss: 0.4421837031841278
epoch 19: {'matthews_correlation': np.float64(0.5807527465659954)} , current_best_corr: 0.6194798387764078 train_loss: 0.11797922104597092
epoch 20: {'matthews_correlation': np.float64(0.5799870740573307)} , current_best_corr: 0.6194798387764078 train_loss: 0.06372560560703278
epoch 21: {'matthews_correlation': np.float64(0.5719128230158643)} , current_best_corr: 0.6194798387764078 train_loss: 0.6441022157669067
epoch 22: {'matthews_correlation': np.float64(0.5701743615529957)} , current_best_corr: 0.6194798387764078 train_loss: 0.03188711404800415
epoch 23: {'matthews_correlation': np.float64(0.5747864841018608)} , current_best_corr: 0.6194798387764078 train_loss: 0.08073079586029053
epoch 24: {'matthews_correlation': np.float64(0.5929583207349504)} , current_best_corr: 0.6194798387764078 train_loss: 0.31012773513793945
epoch 25: {'matthews_correlation': np.float64(0.5495093920893817)} , current_best_corr: 0.6194798387764078 train_loss: 0.01306876353919506
epoch 26: {'matthews_correlation': np.float64(0.6029961981991552)} , current_best_corr: 0.6194798387764078 train_loss: 0.06973332911729813
epoch 27: {'matthews_correlation': np.float64(0.6098979579146131)} , current_best_corr: 0.6194798387764078 train_loss: 0.16853977739810944
epoch 28: {'matthews_correlation': np.float64(0.5961744294806522)} , current_best_corr: 0.6194798387764078 train_loss: 0.03216102346777916
epoch 29: {'matthews_correlation': np.float64(0.5981782924159534)} , current_best_corr: 0.6194798387764078 train_loss: 0.10098130255937576
epoch 30: {'matthews_correlation': np.float64(0.596607532819605)} , current_best_corr: 0.6194798387764078 train_loss: 0.3008851706981659
epoch 31: {'matthews_correlation': np.float64(0.6104966084654571)} , current_best_corr: 0.6194798387764078 train_loss: 0.09704649448394775
epoch 32: {'matthews_correlation': np.float64(0.6220201465704192)} , current_best_corr: 0.6220201465704192 train_loss: 0.006879456341266632
epoch 33: {'matthews_correlation': np.float64(0.6143095221595674)} , current_best_corr: 0.6220201465704192 train_loss: 0.06259326636791229
epoch 34: {'matthews_correlation': np.float64(0.5872785316073718)} , current_best_corr: 0.6220201465704192 train_loss: 0.33003664016723633
epoch 35: {'matthews_correlation': np.float64(0.5541614866719362)} , current_best_corr: 0.6220201465704192 train_loss: 0.0017665807390585542
epoch 36: {'matthews_correlation': np.float64(0.6253017299450873)} , current_best_corr: 0.6253017299450873 train_loss: 0.05261503532528877
epoch 37: {'matthews_correlation': np.float64(0.6329595949948286)} , current_best_corr: 0.6329595949948286 train_loss: 0.02241121605038643
epoch 38: {'matthews_correlation': np.float64(0.608564788158634)} , current_best_corr: 0.6329595949948286 train_loss: 0.24616216123104095
epoch 39: {'matthews_correlation': np.float64(0.6223959683907928)} , current_best_corr: 0.6329595949948286 train_loss: 0.0021982474718242884
epoch 40: {'matthews_correlation': np.float64(0.5653604748370356)} , current_best_corr: 0.6329595949948286 train_loss: 0.0889018103480339
epoch 41: {'matthews_correlation': np.float64(0.5961144440214508)} , current_best_corr: 0.6329595949948286 train_loss: 0.041280947625637054
epoch 42: {'matthews_correlation': np.float64(0.6050582269312388)} , current_best_corr: 0.6329595949948286 train_loss: 0.051215507090091705
epoch 43: {'matthews_correlation': np.float64(0.6100412381955544)} , current_best_corr: 0.6329595949948286 train_loss: 0.7602246999740601
epoch 44: {'matthews_correlation': np.float64(0.5854493301728642)} , current_best_corr: 0.6329595949948286 train_loss: 0.03896201401948929
epoch 45: {'matthews_correlation': np.float64(0.6082838469514021)} , current_best_corr: 0.6329595949948286 train_loss: 0.01763775385916233
epoch 46: {'matthews_correlation': np.float64(0.6303988012708298)} , current_best_corr: 0.6329595949948286 train_loss: 0.021739767864346504
epoch 47: {'matthews_correlation': np.float64(0.6117495208004406)} , current_best_corr: 0.6329595949948286 train_loss: 0.07166056334972382
epoch 48: {'matthews_correlation': np.float64(0.5572696682585848)} , current_best_corr: 0.6329595949948286 train_loss: 0.1386498063802719
epoch 49: {'matthews_correlation': np.float64(0.5961934731732783)} , current_best_corr: 0.6329595949948286 train_loss: 0.11675141006708145
epoch 50: {'matthews_correlation': np.float64(0.6137927399755453)} , current_best_corr: 0.6329595949948286 train_loss: 0.021834557875990868
epoch 51: {'matthews_correlation': np.float64(0.5904645226701092)} , current_best_corr: 0.6329595949948286 train_loss: 0.004309363197535276
epoch 52: {'matthews_correlation': np.float64(0.5884139541276108)} , current_best_corr: 0.6329595949948286 train_loss: 0.002665732754394412
epoch 53: {'matthews_correlation': np.float64(0.5881177177003271)} , current_best_corr: 0.6329595949948286 train_loss: 0.17119164764881134
epoch 54: {'matthews_correlation': np.float64(0.6196931677164856)} , current_best_corr: 0.6329595949948286 train_loss: 0.060791097581386566
epoch 55: {'matthews_correlation': np.float64(0.6322105347010745)} , current_best_corr: 0.6329595949948286 train_loss: 0.07699497789144516
epoch 56: {'matthews_correlation': np.float64(0.620334919123373)} , current_best_corr: 0.6329595949948286 train_loss: 0.2324463129043579
epoch 57: {'matthews_correlation': np.float64(0.6200543772761493)} , current_best_corr: 0.6329595949948286 train_loss: 0.08675210177898407
epoch 58: {'matthews_correlation': np.float64(0.6233555949031161)} , current_best_corr: 0.6329595949948286 train_loss: 0.16015425324440002
epoch 59: {'matthews_correlation': np.float64(0.6258652611733364)} , current_best_corr: 0.6329595949948286 train_loss: 0.236083522439003
epoch 60: {'matthews_correlation': np.float64(0.6273464911628004)} , current_best_corr: 0.6329595949948286 train_loss: 0.0037122447974979877
epoch 61: {'matthews_correlation': np.float64(0.6161809711609865)} , current_best_corr: 0.6329595949948286 train_loss: 0.0005208229413256049
epoch 62: {'matthews_correlation': np.float64(0.606347886270297)} , current_best_corr: 0.6329595949948286 train_loss: 0.02097330614924431
epoch 63: {'matthews_correlation': np.float64(0.6323172425526196)} , current_best_corr: 0.6329595949948286 train_loss: 0.012219513766467571
epoch 64: {'matthews_correlation': np.float64(0.6044964516136625)} , current_best_corr: 0.6329595949948286 train_loss: 0.008216561749577522
epoch 65: {'matthews_correlation': np.float64(0.6155984691566809)} , current_best_corr: 0.6329595949948286 train_loss: 0.0008173573878593743
epoch 66: {'matthews_correlation': np.float64(0.6406289211591135)} , current_best_corr: 0.6406289211591135 train_loss: 0.021021051332354546
epoch 67: {'matthews_correlation': np.float64(0.6470661524976271)} , current_best_corr: 0.6470661524976271 train_loss: 0.013094046153128147
epoch 68: {'matthews_correlation': np.float64(0.6456636482634603)} , current_best_corr: 0.6470661524976271 train_loss: 0.01432861853390932
epoch 69: {'matthews_correlation': np.float64(0.6385561466725135)} , current_best_corr: 0.6470661524976271 train_loss: 0.07917536050081253
epoch 70: {'matthews_correlation': np.float64(0.6282098478325487)} , current_best_corr: 0.6470661524976271 train_loss: 0.028339793905615807
epoch 71: {'matthews_correlation': np.float64(0.6565310187191782)} , current_best_corr: 0.6565310187191782 train_loss: 0.003931515384465456
epoch 72: {'matthews_correlation': np.float64(0.6439484419029815)} , current_best_corr: 0.6565310187191782 train_loss: 0.0005802587838843465
epoch 73: {'matthews_correlation': np.float64(0.6496825194769555)} , current_best_corr: 0.6565310187191782 train_loss: 0.0017392946174368262
epoch 74: {'matthews_correlation': np.float64(0.6329595949948286)} , current_best_corr: 0.6565310187191782 train_loss: 0.004579639993607998
epoch 75: {'matthews_correlation': np.float64(0.6240786802650855)} , current_best_corr: 0.6565310187191782 train_loss: 0.00020719156600534916
epoch 76: {'matthews_correlation': np.float64(0.6276719458023671)} , current_best_corr: 0.6565310187191782 train_loss: 0.002859153551980853
epoch 77: {'matthews_correlation': np.float64(0.6398834889502809)} , current_best_corr: 0.6565310187191782 train_loss: 0.004925117362290621
epoch 78: {'matthews_correlation': np.float64(0.6435412777774377)} , current_best_corr: 0.6565310187191782 train_loss: 0.07555700838565826
epoch 79: {'matthews_correlation': np.float64(0.6225802661582464)} , current_best_corr: 0.6565310187191782 train_loss: 0.29291340708732605
