Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.5702	1.0	179	0.5158	0.2278	0.5480	0.2006
0.4202	2.0	358	0.3750	0.6839	0.7559	0.4376
0.336	3.0	537	0.3422	0.7237	0.7859	0.4642
0.2321	4.0	716	0.3447	0.7519	0.8097	0.5245
0.1487	5.0	895	0.3742	0.7534	0.8108	0.5316
0.0974	6.0	1074	0.4043	0.7727	0.8325	0.5442
0.0674	7.0	1253	0.4612	0.7701	0.8214	0.5175
0.0485	8.0	1432	0.4862	0.7771	0.8227	0.5330
0.0281	9.0	1611	0.5346	0.7712	0.8249	0.5456
0.0178	10.0	1790	0.5535	0.7709	0.8213	0.5372
0.0137	11.0	1969	0.5715	0.7908	0.8450	0.5484
0.0144	12.0	2148	0.5597	0.7866	0.8343	0.5694
0.005	13.0	2327	0.5850	0.7844	0.8333	0.5596
0.0034	14.0	2506	0.5807	0.7881	0.8344	0.5596
0.0034	15.0	2685	0.5856	0.7924	0.8370	0.5750
0.0025	16.0	2864	0.5861	0.7939	0.8377	0.5610
0.0056	17.0	3043	0.5916	0.7920	0.8374	0.5596
0.0043	18.0	3222	0.5900	0.7909	0.8374	0.5708
0.0036	19.0	3401	0.5902	0.7882	0.8352	0.5652
0.0016	20.0	3580	0.5903	0.7890	0.8359	0.5666

sercetexam9/xlnet-large-cased-finetuned-augmentation-LUNAR

xlnet-large-cased-finetuned-augmentation-LUNAR