Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.693	0.6	34	0.6968	0.3125	0.2652	0.2942	0.3125
0.6939	1.19	68	0.7357	0.4167	0.2451	0.1736	0.4167
0.6947	1.79	102	0.6929	0.5625	0.42	0.3351	0.5625
0.6928	2.39	136	0.6879	0.6042	0.4752	0.7642	0.6042
0.701	2.98	170	0.7002	0.4167	0.2451	0.1736	0.4167
0.6983	3.58	204	0.6825	0.5833	0.4298	0.3403	0.5833
0.6975	4.18	238	0.7016	0.4167	0.2451	0.1736	0.4167
0.6936	4.77	272	0.6901	0.625	0.6216	0.6204	0.625
0.6987	5.37	306	0.7020	0.4167	0.2451	0.1736	0.4167
0.6899	5.96	340	0.6872	0.4583	0.3303	0.7645	0.4583
0.6858	6.56	374	0.6637	0.6042	0.5462	0.5938	0.6042
0.6887	7.16	408	0.6519	0.6875	0.6268	0.7965	0.6875
0.6697	7.75	442	0.6646	0.625	0.5615	0.6389	0.625
0.6662	8.35	476	0.5837	0.75	0.7273	0.7895	0.75
0.6243	8.95	510	0.6247	0.6875	0.6828	0.6836	0.6875
0.5506	9.54	544	0.6565	0.7083	0.6716	0.7583	0.7083
0.5109	10.14	578	0.6435	0.7083	0.6590	0.8056	0.7083
0.4781	10.74	612	0.6891	0.6458	0.6351	0.6389	0.6458
0.3923	11.33	646	0.8277	0.625	0.6216	0.6204	0.625
0.2951	11.93	680	0.9439	0.625	0.6167	0.6172	0.625
0.295	12.53	714	0.9096	0.6042	0.5921	0.5934	0.6042

SucharithaS/wav2vec2-large-xls-r-300m-dm32-newpreaugmented

wav2vec2-large-xls-r-300m-dm32-newpreaugmented