Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
1.0904	1.0	711	1.0759	0.4452	0.4368	0.4155	0.3333
1.0537	2.0	1422	1.0363	0.5063	0.5079	0.4902	0.4889
1.0233	3.0	2133	1.0207	0.5302	0.5195	0.5266	0.4956
1.0091	3.99	2844	1.0168	0.5379	0.5248	0.5313	0.5124
0.9983	4.99	3555	1.0009	0.5681	0.5344	0.5424	0.5335
0.9854	5.99	4266	0.9950	0.5829	0.5490	0.5548	0.5492
0.9728	6.99	4977	0.9917	0.5751	0.5436	0.5515	0.5434
0.9616	7.99	5688	0.9888	0.5492	0.5183	0.5308	0.5107
0.9476	8.99	6399	0.9815	0.5836	0.5488	0.5526	0.5499
0.9355	9.99	7110	0.9962	0.5520	0.5316	0.5419	0.5223
0.924	10.98	7821	0.9823	0.5674	0.5363	0.5453	0.5315
0.9112	11.98	8532	0.9773	0.5829	0.5479	0.5504	0.5488
0.9002	12.98	9243	0.9761	0.5815	0.5452	0.5479	0.5459
0.8904	13.98	9954	0.9726	0.5913	0.5558	0.5495	0.5512
0.8823	14.98	10665	0.9785	0.5843	0.5526	0.5583	0.5533
0.8742	15.98	11376	0.9765	0.5843	0.5493	0.5543	0.5500
0.8653	16.98	12087	0.9746	0.5864	0.5501	0.5532	0.5508
0.8612	17.97	12798	0.9770	0.5885	0.5539	0.5566	0.5548
0.8558	18.97	13509	0.9796	0.5836	0.5510	0.5565	0.5520
0.8561	19.97	14220	0.9783	0.5871	0.5527	0.5574	0.5537

IIIT-L/indic-bert-finetuned-combined-DS

indic-bert-finetuned-combined-DS