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	4	7.7879	0.0037	7.7879	2.7907
No log	2.0	8	4.2969	0.0247	4.2969	2.0729
No log	3.0	12	2.2259	0.1646	2.2259	1.4920
No log	4.0	16	2.1292	-0.0310	2.1292	1.4592
No log	5.0	20	1.2670	0.0420	1.2670	1.1256
No log	6.0	24	1.1892	0.0420	1.1892	1.0905
No log	7.0	28	1.0158	0.0445	1.0158	1.0079
No log	8.0	32	1.0820	0.1228	1.0820	1.0402
No log	9.0	36	1.1037	0.1061	1.1037	1.0506
No log	10.0	40	0.8317	0.3293	0.8317	0.9120
No log	11.0	44	0.6612	0.4588	0.6612	0.8132
No log	12.0	48	0.7073	0.4101	0.7073	0.8410
No log	13.0	52	0.8158	0.3971	0.8158	0.9032
No log	14.0	56	0.7096	0.4824	0.7096	0.8424
No log	15.0	60	0.8821	0.3871	0.8821	0.9392
No log	16.0	64	0.8896	0.4226	0.8896	0.9432
No log	17.0	68	0.7916	0.4263	0.7916	0.8897
No log	18.0	72	0.9004	0.3876	0.9004	0.9489
No log	19.0	76	1.1021	0.3371	1.1021	1.0498
No log	20.0	80	1.1747	0.2916	1.1747	1.0838
No log	21.0	84	0.8406	0.4272	0.8406	0.9168
No log	22.0	88	0.8973	0.4415	0.8973	0.9473
No log	23.0	92	1.1778	0.3002	1.1778	1.0853
No log	24.0	96	0.7490	0.4291	0.7490	0.8654
No log	25.0	100	1.1931	0.3340	1.1931	1.0923
No log	26.0	104	0.9511	0.3774	0.9511	0.9753
No log	27.0	108	0.8220	0.4237	0.8220	0.9066
No log	28.0	112	1.5598	0.2410	1.5598	1.2489
No log	29.0	116	0.7913	0.4428	0.7913	0.8895

genki10/Trial3BERT_AugV8_k5_task1_organization_sp060_lw010_fold4

Trial3BERT_AugV8_k5_task1_organization_sp060_lw010_fold4