learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
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
1.7698	1.0	377	1.6608	0.3513
1.6102	2.0	754	1.6074	0.3625
1.5556	3.0	1131	1.5894	0.3778
1.4899	4.0	1508	1.5643	0.3858
1.4322	5.0	1885	1.5250	0.4084
1.3737	6.0	2262	1.5445	0.4110
1.3217	7.0	2639	1.5287	0.4210
1.2686	8.0	3016	1.5635	0.4243
1.1999	9.0	3393	1.5674	0.4223
1.1511	10.0	3770	1.5881	0.4363
1.087	11.0	4147	1.6162	0.4177
1.0309	12.0	4524	1.6487	0.4296
0.9778	13.0	4901	1.7363	0.4210
0.9344	14.0	5278	1.7568	0.4210
0.9108	15.0	5655	1.7051	0.4416
0.8449	16.0	6032	1.7945	0.4329
0.8268	17.0	6409	1.7778	0.4402
0.7991	18.0	6786	1.7972	0.4382
0.7604	19.0	7163	1.8238	0.4276
0.7329	20.0	7540	1.8440	0.4349

yenrong/Wav2Vec2_EmoRecog_Model_v2

Wav2Vec2_EmoRecog_Model_v2