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alexziweiwang/
exp12-reducedTorgoOnly-predComparison

Name: exp12-reducedTorgoOnly-predComparison
Availability: InStock

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exp12-reducedTorgoOnly-predComparison

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

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Wer
35.9644	0.92	500	3.6081	1.0084
3.2094	1.83	1000	2.7519	1.0
2.8848	2.75	1500	2.7494	1.0014
2.7505	3.66	2000	2.5622	1.2840
2.6354	4.58	2500	2.3878	1.2819
2.3473	5.49	3000	2.0214	1.2666
2.0339	6.41	3500	1.8040	1.2394
1.7779	7.33	4000	1.5898	1.2289
1.5254	8.24	4500	1.7275	1.2080
1.4553	9.16	5000	1.3815	1.1786
1.3222	10.07	5500	1.3647	1.1835
1.1964	10.99	6000	1.2442	1.1528
1.1169	11.9	6500	1.5896	1.2059
1.0342	12.82	7000	1.3880	1.1766
0.989	13.74	7500	1.2111	1.1396
0.9109	14.65	8000	1.3362	1.1137
0.8875	15.57	8500	1.2594	1.1326
0.8053	16.48	9000	1.1858	1.1242
0.7566	17.4	9500	1.1987	1.1117
0.7284	18.32	10000	1.2963	1.0998
0.7345	19.23	10500	1.1835	1.0865
0.6424	20.15	11000	1.1564	1.0907
0.6323	21.06	11500	1.2123	1.0851
0.5871	21.98	12000	1.2736	1.0691
0.5788	22.89	12500	1.2094	1.0768
0.5368	23.81	13000	1.1626	1.0398
0.5357	24.73	13500	1.1960	1.0607
0.5407	25.64	14000	1.1724	1.0586
0.491	26.56	14500	1.1877	1.0426
0.4866	27.47	15000	1.2227	1.0593
0.5011	28.39	15500	1.2033	1.0440
0.4634	29.3	16000	1.2016	1.0412