learning_rate: 1.5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 20

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.7312	1.0	753	1.7018	0.3267
1.6018	2.0	1506	1.5855	0.3738
1.5244	3.0	2259	1.5603	0.3931
1.4636	4.0	3012	1.5217	0.4017
1.3947	5.0	3765	1.5199	0.4309
1.3283	6.0	4518	1.5389	0.4230
1.2596	7.0	5271	1.5628	0.4250
1.191	8.0	6024	1.5612	0.4555
1.1193	9.0	6777	1.5749	0.4542
1.0812	10.0	7530	1.6029	0.4462
1.0058	11.0	8283	1.6582	0.4422
0.9441	12.0	9036	1.7178	0.4290
0.8932	13.0	9789	1.7609	0.4502
0.8477	14.0	10542	1.8105	0.4469
0.7997	15.0	11295	1.7957	0.4382
0.7716	16.0	12048	1.8160	0.4502
0.7133	17.0	12801	1.9470	0.4329
0.7034	18.0	13554	1.9191	0.4462
0.6867	19.0	14307	1.9275	0.4495
0.6435	20.0	15060	1.9448	0.4436

yenrong/Wav2Vec2_EmoRecog_Model_v5

Wav2Vec2_EmoRecog_Model_v5