emotions_6_classes_small

This model is a fine-tuned version of facebook/wav2vec2-base 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
0.2009	0.99	19	0.6892	0.7891
0.2272	1.97	38	0.7235	0.7817
0.2196	2.96	57	0.7027	0.7809
0.2402	4.0	77	0.7953	0.7592
0.2301	4.99	96	0.7979	0.7699
0.1896	5.97	115	0.7533	0.7838
0.188	6.96	134	0.7483	0.7817
0.1573	8.0	154	0.8200	0.7756
0.1576	8.99	173	0.7623	0.7944
0.1452	9.97	192	0.7460	0.7944
0.1322	10.96	211	0.8031	0.7875
0.1353	12.0	231	0.7864	0.7883
0.1211	12.99	250	0.7934	0.7903
0.1165	13.97	269	0.7734	0.7936
0.0928	14.96	288	0.8743	0.7842
0.095	16.0	308	0.8483	0.7867
0.0824	16.99	327	0.8860	0.7850
0.0896	17.97	346	0.8314	0.7957
0.0874	18.96	365	0.8164	0.7936
0.081	20.0	385	0.8250	0.7993
0.0673	20.99	404	0.9118	0.7879
0.0716	21.97	423	0.8605	0.7912
0.0588	22.96	442	0.8470	0.7985
0.0579	24.0	462	0.8906	0.7920
0.0511	24.99	481	0.8853	0.7969
0.0488	25.97	500	0.8901	0.7973
0.0468	26.96	519	0.9083	0.7895
0.0505	28.0	539	0.9010	0.7903
0.0542	28.99	558	0.8924	0.7944
0.0542	29.61	570	0.9106	0.7920