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	8.5408	0.0	8.5410	2.9225
No log	2.0	10	4.1323	0.0064	4.1327	2.0329
No log	3.0	15	1.8944	0.0615	1.8949	1.3766
No log	4.0	20	1.0031	0.0107	1.0035	1.0018
No log	5.0	25	0.9593	0.0502	0.9596	0.9796
No log	6.0	30	0.9924	0.2374	0.9927	0.9963
No log	7.0	35	1.0414	0.3750	1.0416	1.0206
No log	8.0	40	0.8228	0.4195	0.8229	0.9071
No log	9.0	45	0.6369	0.3634	0.6369	0.7980
No log	10.0	50	0.6236	0.4322	0.6235	0.7896
No log	11.0	55	1.0649	0.3168	1.0647	1.0319
No log	12.0	60	0.6310	0.4619	0.6307	0.7942
No log	13.0	65	0.8867	0.4118	0.8865	0.9416
No log	14.0	70	0.5426	0.5416	0.5423	0.7364
No log	15.0	75	1.1621	0.3704	1.1617	1.0778
No log	16.0	80	1.1069	0.3858	1.1063	1.0518
No log	17.0	85	0.8679	0.4621	0.8673	0.9313
No log	18.0	90	1.1134	0.3333	1.1130	1.0550
No log	19.0	95	1.0813	0.3485	1.0808	1.0396
No log	20.0	100	1.0380	0.3031	1.0375	1.0186
No log	21.0	105	1.1369	0.3018	1.1364	1.0660
No log	22.0	110	1.2842	0.2818	1.2837	1.1330
No log	23.0	115	0.5643	0.5407	0.5639	0.7509
No log	24.0	120	1.3004	0.2809	1.3001	1.1402
No log	25.0	125	0.6917	0.4201	0.6915	0.8316
No log	26.0	130	0.6961	0.4194	0.6959	0.8342
No log	27.0	135	1.0091	0.3190	1.0087	1.0043
No log	28.0	140	1.3220	0.2681	1.3217	1.1496
No log	29.0	145	0.8575	0.3894	0.8570	0.9257

genki10/BERT_AugV8_k7_task1_organization_sp020_lw010_fold2

BERT_AugV8_k7_task1_organization_sp020_lw010_fold2