wav2vec2-large-xlsr-korean-demo-colab

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
17.4809	0.65	400	4.6145	1.0
4.4863	1.29	800	4.3819	1.0
4.2921	1.94	1200	4.1163	0.9970
2.7971	2.59	1600	1.5376	0.8379
1.5061	3.24	2000	1.0354	0.7299
1.1123	3.88	2400	0.7909	0.6418
0.9037	4.53	2800	0.6345	0.5698
0.779	5.18	3200	0.5909	0.5571
0.6834	5.83	3600	0.5339	0.5063
0.6287	6.47	4000	0.5326	0.4954
0.5518	7.12	4400	0.4930	0.4607
0.5315	7.77	4800	0.4577	0.4451
0.4867	8.41	5200	0.4547	0.4382
0.4543	9.06	5600	0.4581	0.4371
0.4089	9.71	6000	0.4387	0.4258
0.3893	10.36	6400	0.4300	0.4100
0.3751	11.0	6800	0.4265	0.4137
0.3333	11.65	7200	0.4294	0.4011
0.3039	12.3	7600	0.4187	0.3912
0.2974	12.94	8000	0.4079	0.3805
0.2658	13.59	8400	0.4273	0.3864
0.2676	14.24	8800	0.4103	0.3734
0.2466	14.89	9200	0.4122	0.3701
0.2282	15.53	9600	0.4176	0.3650
0.2186	16.18	10000	0.4199	0.3632
0.2132	16.83	10400	0.4159	0.3671
0.1962	17.48	10800	0.4321	0.3641
0.1922	18.12	11200	0.4300	0.3535
0.1827	18.77	11600	0.4244	0.3596
0.1709	19.42	12000	0.4191	0.3518
0.157	20.06	12400	0.4308	0.3496
0.147	20.71	12800	0.4360	0.3457
0.1502	21.36	13200	0.4329	0.3431
0.1448	22.01	13600	0.4334	0.3432
0.1407	22.65	14000	0.4392	0.3440
0.1342	23.3	14400	0.4418	0.3399
0.1325	23.95	14800	0.4360	0.3383
0.1183	24.6	15200	0.4521	0.3359
0.1174	25.24	15600	0.4426	0.3322
0.1137	25.89	16000	0.4438	0.3356
0.1129	26.54	16400	0.4547	0.3347
0.1077	27.18	16800	0.4482	0.3300
0.0999	27.83	17200	0.4491	0.3281
0.0978	28.48	17600	0.4533	0.3281
0.0997	29.13	18000	0.4542	0.3283
0.0908	29.77	18400	0.4534	0.3272