Training Loss	Epoch	Step	Validation Loss	Wer
23.0716	0.9	500	3.3142	1.0
3.4092	1.8	1000	3.2440	1.0
2.9015	2.7	1500	2.8209	1.0
2.7211	3.6	2000	2.4913	1.2728
2.0884	4.5	2500	1.7817	1.4841
1.3426	5.41	3000	1.5117	1.4678
0.9866	6.31	3500	1.4760	1.3781
0.7874	7.21	4000	1.2179	1.2516
0.6424	8.11	4500	1.4501	1.2226
0.5505	9.01	5000	1.4132	1.3343
0.4709	9.91	5500	1.3289	1.1604
0.4358	10.81	6000	1.2615	1.1102
0.3892	11.71	6500	1.5597	1.1060
0.3602	12.61	7000	1.4205	1.1322
0.3298	13.51	7500	1.4411	1.1237
0.3184	14.41	8000	1.4017	1.1004
0.2954	15.32	8500	1.3428	1.0806
0.2745	16.22	9000	1.4793	1.0982
0.2533	17.12	9500	1.6004	1.1124
0.2378	18.02	10000	1.5802	1.0700
0.2234	18.92	10500	1.4462	1.0473
0.2147	19.82	11000	1.3814	1.0042
0.202	20.72	11500	1.5665	1.0226
0.1691	21.62	12000	1.4534	0.9958
0.1993	22.52	12500	1.4851	0.9894
0.1591	23.42	13000	1.3746	0.9746
0.1602	24.32	13500	1.4077	0.9710
0.1417	25.23	14000	1.5074	0.9668
0.1302	26.13	14500	1.5024	0.9456
0.1334	27.03	15000	1.4816	0.9541
0.1269	27.93	15500	1.5501	0.9541
0.1254	28.83	16000	1.5593	0.9527
0.12	29.73	16500	1.5763	0.9555

yip-i/torgo_xlsr_finetune-M01-2

torgo_xlsr_finetune-M01-2