epoch 0: {'matthews_correlation': np.float64(0.38741359695577365)} , current_best_corr: 0.38741359695577365 train_loss: 0.3454236090183258
epoch 1: {'matthews_correlation': np.float64(0.5345640705889373)} , current_best_corr: 0.5345640705889373 train_loss: 0.1773366630077362
epoch 2: {'matthews_correlation': np.float64(0.5471054662620461)} , current_best_corr: 0.5471054662620461 train_loss: 0.6442871689796448
epoch 3: {'matthews_correlation': np.float64(0.6090925491981194)} , current_best_corr: 0.6090925491981194 train_loss: 0.49044403433799744
epoch 4: {'matthews_correlation': np.float64(0.629229068966079)} , current_best_corr: 0.629229068966079 train_loss: 0.47084060311317444
epoch 5: {'matthews_correlation': np.float64(0.6363077590576754)} , current_best_corr: 0.6363077590576754 train_loss: 0.6985867619514465
epoch 6: {'matthews_correlation': np.float64(0.5940754350972381)} , current_best_corr: 0.6363077590576754 train_loss: 0.11283326894044876
epoch 7: {'matthews_correlation': np.float64(0.6671171140395936)} , current_best_corr: 0.6671171140395936 train_loss: 0.29802465438842773
epoch 8: {'matthews_correlation': np.float64(0.67815868711401)} , current_best_corr: 0.67815868711401 train_loss: 0.6488572359085083
epoch 9: {'matthews_correlation': np.float64(0.6629472139489002)} , current_best_corr: 0.67815868711401 train_loss: 0.24567604064941406
epoch 10: {'matthews_correlation': np.float64(0.6334207314559608)} , current_best_corr: 0.67815868711401 train_loss: 0.08850429207086563
epoch 11: {'matthews_correlation': np.float64(0.6889726970697021)} , current_best_corr: 0.6889726970697021 train_loss: 0.18246690928936005
epoch 12: {'matthews_correlation': np.float64(0.6770521240485519)} , current_best_corr: 0.6889726970697021 train_loss: 0.23590485751628876
epoch 13: {'matthews_correlation': np.float64(0.36001233983317116)} , current_best_corr: 0.6889726970697021 train_loss: 0.0025989364366978407
epoch 14: {'matthews_correlation': np.float64(0.6679153575241499)} , current_best_corr: 0.6889726970697021 train_loss: 0.04442796856164932
epoch 15: {'matthews_correlation': np.float64(0.6803092970928678)} , current_best_corr: 0.6889726970697021 train_loss: 0.046230413019657135
epoch 16: {'matthews_correlation': np.float64(0.6602588467116962)} , current_best_corr: 0.6889726970697021 train_loss: 0.53793865442276
epoch 17: {'matthews_correlation': np.float64(0.6749217659553791)} , current_best_corr: 0.6889726970697021 train_loss: 0.024139905348420143
epoch 18: {'matthews_correlation': np.float64(0.6776713991502772)} , current_best_corr: 0.6889726970697021 train_loss: 0.04453853890299797
epoch 19: {'matthews_correlation': np.float64(0.6380782009126543)} , current_best_corr: 0.6889726970697021 train_loss: 0.5295209288597107
epoch 20: {'matthews_correlation': np.float64(0.667660908939119)} , current_best_corr: 0.6889726970697021 train_loss: 0.4830370843410492
epoch 21: {'matthews_correlation': np.float64(0.6823266141766927)} , current_best_corr: 0.6889726970697021 train_loss: 0.06426094472408295
epoch 22: {'matthews_correlation': np.float64(0.630705998012026)} , current_best_corr: 0.6889726970697021 train_loss: 0.17319776117801666
epoch 23: {'matthews_correlation': np.float64(0.695519139087268)} , current_best_corr: 0.695519139087268 train_loss: 0.005014993716031313
epoch 24: {'matthews_correlation': np.float64(0.6362621815348365)} , current_best_corr: 0.695519139087268 train_loss: 0.0134124755859375
epoch 25: {'matthews_correlation': np.float64(0.6979619879475273)} , current_best_corr: 0.6979619879475273 train_loss: 0.05442154034972191
epoch 26: {'matthews_correlation': np.float64(0.6871508576308496)} , current_best_corr: 0.6979619879475273 train_loss: 0.03712592273950577
epoch 27: {'matthews_correlation': np.float64(0.6718003572395428)} , current_best_corr: 0.6979619879475273 train_loss: 0.13896754384040833
epoch 28: {'matthews_correlation': np.float64(0.669094467744265)} , current_best_corr: 0.6979619879475273 train_loss: 0.0013716347748413682
epoch 29: {'matthews_correlation': np.float64(0.6479909469624856)} , current_best_corr: 0.6979619879475273 train_loss: 0.0032092113979160786
epoch 30: {'matthews_correlation': np.float64(0.6558371211545774)} , current_best_corr: 0.6979619879475273 train_loss: 0.002536405110731721
epoch 31: {'matthews_correlation': np.float64(0.6660250068114778)} , current_best_corr: 0.6979619879475273 train_loss: 0.001106486888602376
epoch 32: {'matthews_correlation': np.float64(0.6758829936616813)} , current_best_corr: 0.6979619879475273 train_loss: 0.011655466631054878
epoch 33: {'matthews_correlation': np.float64(0.6530464576994947)} , current_best_corr: 0.6979619879475273 train_loss: 0.005118832923471928
epoch 34: {'matthews_correlation': np.float64(0.6631115951798439)} , current_best_corr: 0.6979619879475273 train_loss: 0.03686625882983208
epoch 35: {'matthews_correlation': np.float64(0.6742727208813145)} , current_best_corr: 0.6979619879475273 train_loss: 0.009488619863986969
epoch 36: {'matthews_correlation': np.float64(0.6800243893445445)} , current_best_corr: 0.6979619879475273 train_loss: 0.0016629360616207123
epoch 37: {'matthews_correlation': np.float64(0.6639332131389398)} , current_best_corr: 0.6979619879475273 train_loss: 0.10321791470050812
epoch 38: {'matthews_correlation': np.float64(0.6660250068114778)} , current_best_corr: 0.6979619879475273 train_loss: 0.019386516883969307
epoch 39: {'matthews_correlation': np.float64(0.6607765164674521)} , current_best_corr: 0.6979619879475273 train_loss: 0.1597384214401245
