wav2vec2-large-960h-intent-classification-ori

This model is a fine-tuned version of facebook/wav2vec2-large-960h 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	Accuracy
2.1937	1.0	14	2.1715	0.3333
2.1764	2.0	28	2.1317	0.3333
2.1358	3.0	42	2.0794	0.3333
2.1227	4.0	56	2.0367	0.3333
2.1157	5.0	70	1.9845	0.3333
2.0776	6.0	84	1.9369	0.3333
2.0126	7.0	98	1.8021	0.375
1.88	8.0	112	1.6825	0.4167
1.8818	9.0	126	1.4638	0.5
1.7044	10.0	140	1.4188	0.5208
1.5442	11.0	154	1.3421	0.5625
1.5045	12.0	168	1.3971	0.5
1.3369	13.0	182	1.1602	0.5833
1.4017	14.0	196	1.3510	0.5417
1.2565	15.0	210	1.0978	0.5625
1.1056	16.0	224	1.0847	0.5833
1.2006	17.0	238	1.0262	0.625
0.9235	18.0	252	0.9532	0.7083
0.9528	19.0	266	1.0212	0.6042
0.8195	20.0	280	0.8442	0.7083
0.7518	21.0	294	0.8379	0.6875
0.6017	22.0	308	0.9422	0.7292
0.7697	23.0	322	0.7353	0.75
0.5367	24.0	336	0.8685	0.6875
0.5655	25.0	350	0.7440	0.7708
0.5116	26.0	364	0.7572	0.75
0.4297	27.0	378	0.7518	0.75
0.4928	28.0	392	0.5988	0.7917
0.4424	29.0	406	0.7240	0.75
0.3313	30.0	420	0.6173	0.7708
0.3854	31.0	434	0.7375	0.75
0.4131	32.0	448	0.7026	0.7708
0.2899	33.0	462	0.6516	0.7708
0.3644	34.0	476	0.6201	0.7917
0.2316	35.0	490	0.6111	0.7708
0.2589	36.0	504	0.5518	0.7917
0.3778	37.0	518	0.5512	0.7708
0.2426	38.0	532	0.5779	0.7917
0.304	39.0	546	0.7771	0.75
0.1833	40.0	560	0.5839	0.7708
0.1649	41.0	574	0.5699	0.7708
0.2529	42.0	588	0.6190	0.75
0.2121	43.0	602	0.5992	0.75
0.2736	44.0	616	0.6011	0.7917
0.2446	45.0	630	0.6013	0.7708