Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
1.0688	1.0	463	0.8847	0.6127	0.6038	0.6032	0.6014
0.8226	2.0	926	0.7622	0.6796	0.6769	0.6822	0.6716
0.6844	2.99	1389	0.8391	0.6828	0.6718	0.6563	0.6602
0.536	3.99	1852	0.8218	0.6990	0.6950	0.6807	0.6844
0.3938	4.99	2315	0.9616	0.6958	0.6967	0.7056	0.6880
0.2674	5.99	2778	1.1389	0.7033	0.6868	0.6895	0.6879
0.2073	6.98	3241	1.5578	0.6915	0.6786	0.6807	0.6792
0.1641	7.98	3704	1.9538	0.6850	0.6734	0.6715	0.6717
0.1394	8.98	4167	2.3230	0.6893	0.6733	0.6742	0.6736
0.1248	9.98	4630	2.4050	0.6936	0.6824	0.6819	0.6815
0.1002	10.98	5093	2.4227	0.6947	0.6832	0.6932	0.6795
0.0776	11.97	5556	2.5782	0.7012	0.6876	0.6923	0.6887
0.0685	12.97	6019	2.7967	0.6915	0.6836	0.6930	0.6820
0.045	13.97	6482	2.8884	0.7044	0.6873	0.6855	0.6863
0.0462	14.97	6945	2.9528	0.6947	0.6754	0.6749	0.6751
0.0444	15.97	7408	3.0356	0.6904	0.6778	0.6805	0.6778
0.0343	16.96	7871	3.0123	0.6936	0.6784	0.6762	0.6771
0.0245	17.96	8334	3.0160	0.6893	0.6720	0.6735	0.6727
0.0198	18.96	8797	3.1597	0.6904	0.6741	0.6727	0.6732
0.0189	19.96	9260	3.1265	0.6936	0.6794	0.6782	0.6784

IIIT-L/roberta-large-finetuned-non-code-mixed-DS

roberta-large-finetuned-non-code-mixed-DS