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alexziweiwang/
torgo-TestedSpeakerM01-finetuned

Name: torgo-TestedSpeakerM01-finetuned
Availability: InStock

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torgo-TestedSpeakerM01-finetuned

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
28.3192	0.84	500	1.5650	1.1343
0.4741	1.69	1000	0.3845	1.2286
0.4324	2.53	1500	0.3041	1.2849
0.3128	3.37	2000	0.3093	1.3337
0.2875	4.22	2500	0.2870	1.1972
0.2763	5.06	3000	0.3064	1.0553
0.2719	5.9	3500	0.2424	0.9534
0.2436	6.75	4000	0.2772	1.0163
0.2262	7.59	4500	0.2532	0.9989
0.2248	8.43	5000	0.2495	0.9133
0.2267	9.27	5500	0.2771	0.9155
0.1923	10.12	6000	0.2918	0.8862
0.1905	10.96	6500	0.2306	0.8700
0.184	11.8	7000	0.2470	0.8949
0.1747	12.65	7500	0.2411	0.8256
0.1641	13.49	8000	0.3096	0.8949
0.1783	14.33	8500	0.2523	0.8776
0.1575	15.18	9000	0.2606	0.8223
0.1658	16.02	9500	0.2713	0.8364
0.141	16.86	10000	0.2423	0.8061
0.1302	17.71	10500	0.3030	0.7952
0.1285	18.55	11000	0.2719	0.7811
0.203	19.39	11500	0.3074	0.8061
0.1198	20.24	12000	0.3035	0.8017
0.109	21.08	12500	0.3218	0.8082
0.109	21.92	13000	0.3668	0.8202
0.1114	22.77	13500	0.2767	0.8007
0.0949	23.61	14000	0.2965	0.7844
0.0955	24.45	14500	0.3319	0.7692
0.0913	25.3	15000	0.3034	0.7833
0.0912	26.14	15500	0.2944	0.7736
0.0794	26.98	16000	0.3479	0.7736
0.0818	27.82	16500	0.3524	0.7790
0.0836	28.67	17000	0.3467	0.7714
0.0878	29.51	17500	0.3406	0.7746