wav2vec2-xlsr-korean-speech-emotion-recognition2_data_rebalance

This model is a fine-tuned version of jungjongho/wav2vec2-large-xlsr-korean-demo-colab_epoch15 on the None dataset. It achieves the following results on the evaluation set:

Model description

More information needed

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More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.1219	0.04	200	1.4543	0.5792
0.7585	0.08	400	0.6959	0.7301
0.5959	0.13	600	0.7356	0.7671
0.4048	0.17	800	0.2661	0.9128
0.3101	0.21	1000	0.2470	0.9291
0.2805	0.25	1200	0.2115	0.9394
0.2885	0.29	1400	0.3597	0.9152
0.1703	0.33	1600	0.3973	0.9142
0.1818	0.38	1800	0.2164	0.9543
0.1727	0.42	2000	0.1133	0.9730
0.1038	0.46	2200	0.0826	0.9851
0.1343	0.5	2400	0.0823	0.9820
0.1412	0.54	2600	0.0762	0.9830
0.1321	0.58	2800	0.0786	0.9806
0.0738	0.63	3000	0.1036	0.9810
0.0998	0.67	3200	0.1984	0.9640
0.1135	0.71	3400	0.0775	0.9841
0.0552	0.75	3600	0.0923	0.9827
0.0633	0.79	3800	0.0518	0.9900
0.0769	0.83	4000	0.0599	0.9875
0.1026	0.88	4200	0.0800	0.9841
0.0641	0.92	4400	0.2396	0.9606
0.1068	0.96	4600	0.0653	0.9875
0.0802	1.0	4800	0.0844	0.9855
0.0483	1.04	5000	0.0984	0.9834
0.0392	1.09	5200	0.1092	0.9813
0.0408	1.13	5400	0.0719	0.9900
0.0388	1.17	5600	0.0494	0.9903
0.0253	1.21	5800	0.1486	0.9751
0.0448	1.25	6000	0.1370	0.9782
0.0415	1.29	6200	0.0508	0.9907
0.0552	1.34	6400	0.0332	0.9941
0.065	1.38	6600	0.0479	0.9900
0.0391	1.42	6800	0.0470	0.9910
0.0339	1.46	7000	0.0550	0.9886
0.0525	1.5	7200	0.0389	0.9920
0.0393	1.54	7400	0.0543	0.9910
0.0488	1.59	7600	0.0205	0.9965
0.0253	1.63	7800	0.0240	0.9948
0.0438	1.67	8000	0.0308	0.9952
0.0291	1.71	8200	0.0160	0.9969
0.0235	1.75	8400	0.0124	0.9969
0.0061	1.8	8600	0.0191	0.9962
0.022	1.84	8800	0.0178	0.9958
0.0176	1.88	9000	0.0135	0.9965
0.0168	1.92	9200	0.0161	0.9969
0.0068	1.96	9400	0.0124	0.9976