learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
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: 150

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	5	8.2563	0.0	8.2536	2.8729
No log	2.0	10	4.1607	0.0040	4.1586	2.0393
No log	3.0	15	2.1554	0.0719	2.1537	1.4676
No log	4.0	20	1.2099	0.0	1.2085	1.0993
No log	5.0	25	1.2520	0.0	1.2506	1.1183
No log	6.0	30	0.9015	0.1934	0.9002	0.9488
No log	7.0	35	1.0963	0.0013	1.0949	1.0464
No log	8.0	40	0.8635	0.2661	0.8622	0.9286
No log	9.0	45	0.7542	0.4156	0.7533	0.8680
No log	10.0	50	0.5949	0.4792	0.5944	0.7710
No log	11.0	55	0.6065	0.4751	0.6060	0.7784
No log	12.0	60	0.7265	0.5480	0.7260	0.8521
No log	13.0	65	0.8145	0.4315	0.8135	0.9019
No log	14.0	70	0.9729	0.3274	0.9716	0.9857
No log	15.0	75	0.9791	0.4003	0.9778	0.9889
No log	16.0	80	0.7061	0.5032	0.7053	0.8398
No log	17.0	85	0.7939	0.4820	0.7934	0.8907
No log	18.0	90	0.6932	0.4544	0.6924	0.8321
No log	19.0	95	1.2588	0.3317	1.2577	1.1215
No log	20.0	100	1.1431	0.3367	1.1420	1.0686
No log	21.0	105	0.7344	0.4549	0.7336	0.8565
No log	22.0	110	0.7263	0.4826	0.7258	0.8520
No log	23.0	115	0.8731	0.3950	0.8723	0.9340
No log	24.0	120	0.8442	0.3527	0.8432	0.9183
No log	25.0	125	0.8669	0.4017	0.8660	0.9306
No log	26.0	130	0.7763	0.4076	0.7754	0.8806
No log	27.0	135	0.7582	0.4373	0.7575	0.8703

genki10/BERT_AugV8_k7_task1_organization_sp020_lw010_fold1

BERT_AugV8_k7_task1_organization_sp020_lw010_fold1