global_step,train_loss,mcc,eval_loss
2000,1.4251539707183838,0.3821758984585986,1.2485452398630357
4000,0.5708420276641846,0.5533281033252375,0.9720688944143924
5334,1.1775798797607422,0.612038083097805,0.881039007263289
6000,1.047524333000183,0.613589345326479,0.9233790451101616
8000,0.9171054363250732,0.6399783266584734,0.8445506808562393
10000,0.7262307405471802,0.6583404421225109,0.8197225077321296
10668,1.2993062734603882,0.6414682794546348,0.8398137138693372
12000,0.4849146604537964,0.6637682468831178,0.8402194869918937
14000,0.8214308619499207,0.6695182044135826,0.8310174904969516
16000,0.1785275638103485,0.6738010234320301,0.8064237047213217
16002,0.9043653607368469,0.676197553949848,0.8061718746820811
18000,0.5284520983695984,0.6786037841363494,0.8831518923428122
20000,0.3138037323951721,0.6874422026014595,0.8660401072881388
21336,0.6681137681007385,0.6835412968695169,0.8344325849968206
22000,0.3114382326602936,0.681160111375907,0.9610919825540613
24000,0.1992759108543396,0.6835084790057169,0.9443978727975274
26000,0.4627739191055298,0.6833692845033765,0.9576785320597898
26670,0.061354074627161026,0.6811311944857913,0.9551531682974397