| global_step,train_loss,LRAP,accuracy,macro_f1,weighted_f1,eval_loss | |
| 1540,5.5235595703125,0.7087386163219498,0.0022222222222222222,0.5276624797769354,0.6418452955098061,6.762324757046169 | |
| 2000,3.336136817932129,0.713298140131474,0.0033333333333333335,0.5490219749315628,0.6538235528242954,6.732627603742811 | |
| 3080,5.402691841125488,0.7355552081663191,0.0011111111111111111,0.5690883792182807,0.6738836283404934,5.939486159218682 | |
| 4000,4.94577693939209,0.7516409064186831,0.005555555555555556,0.5857144395278816,0.6937109275167757,6.191740194956462 | |
| 4620,4.7006120681762695,0.7349451258617915,0.0022222222222222222,0.5808680848220031,0.6845453635469864,6.53547477722168 | |
| 6000,0.8756833076477051,0.7496383277216598,0.028888888888888888,0.5848889297971004,0.6915240625034748,7.2687596744961205 | |
| 6160,2.8979897499084473,0.7404720218053544,0.03888888888888889,0.5797768839785963,0.6882614706527342,7.9485422770182295 | |
| 7700,0.5499695539474487,0.7383599353321573,0.06444444444444444,0.5910478801573911,0.6963464661450791,8.710189289516872 | |
| 8000,0.31079328060150146,0.7527138848805496,0.09222222222222222,0.5948021214697299,0.7003535118782406,9.066656377580431 | |
| 9240,0.6766080856323242,0.7457099166265829,0.12555555555555556,0.5990810767553655,0.7036516907901794,10.211644013722738 | |
| 10000,1.856939435005188,0.7473248490192927,0.13444444444444445,0.5910801083627714,0.7000364330564518,10.624637179904514 | |
| 10780,0.12249794602394104,0.7497833627278061,0.14888888888888888,0.5969603348439917,0.7040227106765218,10.723778989579943 | |