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	3	10.2525	0.0	10.2527	3.2020
No log	2.0	6	9.5423	0.0	9.5423	3.0891
No log	3.0	9	7.3272	0.0	7.3273	2.7069
No log	4.0	12	5.5633	0.0500	5.5635	2.3587
No log	5.0	15	3.8815	0.0039	3.8820	1.9703
No log	6.0	18	2.3255	0.1510	2.3260	1.5251
No log	7.0	21	1.3322	0.0136	1.3327	1.1544
No log	8.0	24	0.9770	0.0107	0.9775	0.9887
No log	9.0	27	0.9631	0.0363	0.9635	0.9816
No log	10.0	30	1.1931	0.0867	1.1935	1.0925
No log	11.0	33	0.6948	0.3869	0.6950	0.8337
No log	12.0	36	0.7508	0.3888	0.7510	0.8666
No log	13.0	39	0.9438	0.1510	0.9441	0.9716
No log	14.0	42	1.1065	0.2617	1.1068	1.0520
No log	15.0	45	0.8175	0.4593	0.8174	0.9041
No log	16.0	48	1.7860	0.2030	1.7858	1.3363
No log	17.0	51	1.1197	0.3291	1.1191	1.0579
No log	18.0	54	0.8794	0.3999	0.8786	0.9373
No log	19.0	57	1.2463	0.2808	1.2455	1.1160
No log	20.0	60	0.9273	0.3844	0.9265	0.9626
No log	21.0	63	0.7431	0.4247	0.7423	0.8616
No log	22.0	66	0.8167	0.4180	0.8157	0.9032
No log	23.0	69	1.1185	0.3690	1.1176	1.0572
No log	24.0	72	1.1652	0.3616	1.1647	1.0792
No log	25.0	75	1.0317	0.3886	1.0313	1.0155
No log	26.0	78	1.4443	0.2513	1.4438	1.2016
No log	27.0	81	1.0032	0.3611	1.0025	1.0013
No log	28.0	84	1.1646	0.2842	1.1641	1.0789
No log	29.0	87	0.9601	0.3513	0.9595	0.9796
No log	30.0	90	1.1732	0.3055	1.1727	1.0829

genki10/Trial2BERT_AugV8_k3_task1_organization_sp010_lw030_fold2

Trial2BERT_AugV8_k3_task1_organization_sp010_lw030_fold2