Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
1.0895	0.25	612	1.0893	0.4453	0.3220	0.4654	0.3554
1.0788	0.5	1224	1.1051	0.4436	0.1479	0.3333	0.2049
1.0567	0.75	1836	0.9507	0.5637	0.4176	0.4948	0.4279
1.0052	1.0	2448	0.9716	0.4665	0.4913	0.5106	0.4324
0.9862	1.25	3060	0.9160	0.5719	0.5824	0.5851	0.5517
0.9428	1.5	3672	0.9251	0.5645	0.5838	0.5903	0.5386
0.9381	1.75	4284	0.9212	0.6307	0.6031	0.6091	0.6053
0.9124	2.0	4896	0.8897	0.6054	0.6078	0.6169	0.5895
0.9558	2.25	5508	0.8576	0.6283	0.6330	0.6077	0.6094
0.8814	2.5	6120	0.9458	0.6520	0.6357	0.6270	0.6286
0.8697	2.75	6732	0.8928	0.6381	0.6304	0.6259	0.6228
0.9142	3.0	7344	0.8542	0.6225	0.6227	0.6272	0.6124
0.825	3.25	7956	0.9639	0.6577	0.6491	0.6089	0.6093
0.84	3.5	8568	0.8980	0.6266	0.6309	0.6169	0.6130
0.8505	3.75	9180	0.9127	0.6503	0.6197	0.6130	0.6154
0.8287	4.0	9792	0.9343	0.6683	0.6515	0.6527	0.6488
0.7772	4.25	10404	1.0434	0.6650	0.6461	0.6454	0.6437
0.8217	4.5	11016	0.9760	0.6724	0.6574	0.6550	0.6533
0.7543	4.75	11628	1.0790	0.6454	0.6522	0.6342	0.6327
0.7868	5.0	12240	1.1457	0.6708	0.6519	0.6445	0.6463
0.8093	5.25	12852	1.1714	0.6716	0.6517	0.6525	0.6509
0.8032	5.5	13464	1.1882	0.6691	0.6480	0.6542	0.6489
0.7511	5.75	14076	1.2113	0.6650	0.6413	0.6458	0.6429
0.7698	6.0	14688	1.2229	0.6724	0.6503	0.6556	0.6513

IIIT-L/xlm-roberta-large-finetuned-TRAC-DS-new

xlm-roberta-large-finetuned-TRAC-DS-new