| 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 |
|
|
