Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.4359	1.0	144	0.4259	0.1730	0.5612	0.1965
0.3509	2.0	288	0.3506	0.4649	0.6710	0.3670
0.3062	3.0	432	0.3230	0.5924	0.7446	0.4452
0.2507	4.0	576	0.3000	0.6340	0.7629	0.4748
0.2156	5.0	720	0.2989	0.6716	0.7870	0.5235
0.1632	6.0	864	0.3159	0.6645	0.7827	0.5009
0.1665	7.0	1008	0.3168	0.6817	0.7973	0.5217
0.1289	8.0	1152	0.3148	0.6807	0.7958	0.5357
0.1166	9.0	1296	0.3261	0.6850	0.7946	0.5217
0.0927	10.0	1440	0.3268	0.6828	0.7910	0.5496
0.0693	11.0	1584	0.3387	0.6982	0.8028	0.5496
0.0571	12.0	1728	0.3544	0.6938	0.8050	0.5374
0.0568	13.0	1872	0.3439	0.6959	0.8037	0.5565
0.0467	14.0	2016	0.3673	0.6940	0.8054	0.5391
0.043	15.0	2160	0.3642	0.7015	0.8066	0.5548
0.0356	16.0	2304	0.3685	0.6998	0.8069	0.5530
0.0395	17.0	2448	0.3766	0.7024	0.8104	0.5513
0.0353	18.0	2592	0.3766	0.7005	0.8088	0.5478
0.0352	19.0	2736	0.3753	0.7008	0.8092	0.5478
0.0327	20.0	2880	0.3745	0.6985	0.8074	0.5461

sercetexam9/afro-xlmr-base-hau-finetuned-augmentation-LUNAR

afro-xlmr-base-hau-finetuned-augmentation-LUNAR