step,train_loss,val_loss
500,0.13595235347747803,0.6528524607419968
1000,0.1195637658238411,0.23709506243467332
1500,0.08361885696649551,0.17021527588367463
2000,0.14839914441108704,0.13189227990806102
2500,0.22899630665779114,0.09350069556385279
3000,0.06356602162122726,0.14409918449819087
3500,0.036603156477212906,0.155912971124053
4000,0.0942932739853859,0.0957351129502058
4500,0.024406839162111282,0.12818448171019553
5000,0.08768186718225479,0.09223373159766197
5500,0.05132027342915535,0.09574509076774121
6000,0.1538131684064865,0.11176737491041422
6500,0.05385871231555939,0.15803481675684453
7000,0.12455349415540695,0.08164985179901123
7500,0.38599854707717896,0.13283105827867986
8000,0.08347489684820175,0.11500484850257635
8500,0.23124906420707703,0.1229053545743227
9000,0.12087740749120712,0.1097700173035264
9500,0.02639235183596611,0.0755228416994214