Training Loss	Epoch	Step	Validation Loss	Wer
23.2194	0.91	500	3.2975	0.9820
3.3856	1.81	1000	3.2225	0.9820
2.9403	2.72	1500	2.7805	0.9820
2.6255	3.62	2000	2.3830	0.9834
1.8901	4.53	2500	1.7920	1.3779
1.2594	5.43	3000	1.7845	1.3343
1.0008	6.34	3500	1.6923	1.3148
0.7896	7.25	4000	1.5444	1.2822
0.6373	8.15	4500	1.5547	1.2670
0.5639	9.06	5000	1.5924	1.1935
0.5	9.96	5500	1.7545	1.2060
0.4488	10.87	6000	1.6170	1.1498
0.3892	11.78	6500	1.7550	1.1664
0.3497	12.68	7000	1.9707	1.1845
0.3444	13.59	7500	1.8976	1.1657
0.3153	14.49	8000	1.9255	1.1415
0.2967	15.4	8500	1.8710	1.1470
0.2698	16.3	9000	1.7480	1.1408
0.2661	17.21	9500	1.8134	1.1123
0.255	18.12	10000	2.0806	1.1248
0.2021	19.02	10500	2.1426	1.1172
0.2179	19.93	11000	2.0832	1.1117
0.193	20.83	11500	2.3892	1.1262
0.1999	21.74	12000	2.1183	1.1096
0.1857	22.64	12500	1.9986	1.1047
0.1804	23.55	13000	2.0788	1.0978
0.1568	24.46	13500	2.2646	1.1026
0.1596	25.36	14000	2.0863	1.0673
0.1553	26.27	14500	2.1758	1.0804
0.1484	27.17	15000	2.0750	1.0693
0.1359	28.08	15500	2.1412	1.0784
0.131	28.99	16000	2.2616	1.0853
0.1386	29.89	16500	2.1942	1.0791

yip-i/torgo_xlsr_finetune-M02-2

torgo_xlsr_finetune-M02-2