xlsr-big-kannn

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

Model description

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Wer
2.0631	1.9704	200	0.6852	0.5241
0.3968	3.9409	400	0.0531	0.1099
0.1256	5.9113	600	0.0184	0.0633
0.0844	7.8818	800	0.0339	0.0643
0.0669	9.8522	1000	0.0070	0.0571
0.05	11.8227	1200	0.0029	0.0545
0.0467	13.7931	1400	0.0049	0.0531
0.0369	15.7635	1600	0.0051	0.0593
0.0267	17.7340	1800	0.0016	0.0529
0.0297	19.7044	2000	0.0010	0.0581
0.0276	21.6749	2200	0.0041	0.0579
0.0211	23.6453	2400	0.0020	0.0525
0.0324	25.6158	2600	0.0091	0.0551
0.0223	27.5862	2800	0.0013	0.0539
0.0182	29.5567	3000	0.0026	0.0551
0.0167	31.5271	3200	0.0010	0.0551
0.0173	33.4975	3400	0.0007	0.0518
0.0178	35.4680	3600	0.0012	0.0510
0.0172	37.4384	3800	0.0008	0.0514
0.0138	39.4089	4000	0.0006	0.0504
0.0122	41.3793	4200	0.0002	0.0512
0.0134	43.3498	4400	0.0003	0.0514
0.0129	45.3202	4600	0.0003	0.0512
0.0075	47.2906	4800	0.0001	0.0512
0.0067	49.2611	5000	0.0001	0.0545
0.0083	51.2315	5200	0.0003	0.0527
0.0067	53.2020	5400	0.0001	0.0525
0.0065	55.1724	5600	0.0004	0.0523
0.0073	57.1429	5800	0.0000	0.0504
0.0051	59.1133	6000	0.0001	0.0510
0.0077	61.0837	6200	0.0006	0.0510
0.0069	63.0542	6400	0.0006	0.0510
0.0058	65.0246	6600	0.0001	0.0506
0.0044	66.9951	6800	0.0003	0.0508
0.0046	68.9655	7000	0.0000	0.0506
0.0049	70.9360	7200	0.0000	0.0508
0.0035	72.9064	7400	0.0001	0.0520
0.0022	74.8768	7600	0.0000	0.0527
0.0039	76.8473	7800	0.0000	0.0518
0.0033	78.8177	8000	0.0000	0.0516
0.0028	80.7882	8200	0.0000	0.0506
0.0024	82.7586	8400	0.0000	0.0510
0.0016	84.7291	8600	0.0000	0.0508
0.0017	86.6995	8800	0.0000	0.0506
0.002	88.6700	9000	0.0000	0.0512
0.0021	90.6404	9200	0.0001	0.0510
0.0014	92.6108	9400	0.0001	0.0508
0.0016	94.5813	9600	0.0000	0.0510
0.0011	96.5517	9800	0.0000	0.0510
0.001	98.5222	10000	0.0000	0.0510