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: 100

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	4	7.0583	0.0018	7.0583	2.6567
No log	2.0	8	3.9237	0.0040	3.9237	1.9808
No log	3.0	12	2.9306	0.0011	2.9306	1.7119
No log	4.0	16	1.6455	0.0420	1.6455	1.2828
No log	5.0	20	1.0609	0.0212	1.0609	1.0300
No log	6.0	24	0.8494	0.3085	0.8494	0.9216
No log	7.0	28	0.7778	0.3704	0.7778	0.8819
No log	8.0	32	1.3453	0.2433	1.3453	1.1599
No log	9.0	36	0.6366	0.5417	0.6366	0.7978
No log	10.0	40	0.7523	0.5221	0.7523	0.8674
No log	11.0	44	0.9509	0.4695	0.9509	0.9751
No log	12.0	48	0.7478	0.5268	0.7478	0.8647
No log	13.0	52	1.3192	0.3594	1.3192	1.1486
No log	14.0	56	0.7553	0.4986	0.7553	0.8691
No log	15.0	60	0.7941	0.5064	0.7941	0.8911
No log	16.0	64	1.1426	0.4423	1.1426	1.0689
No log	17.0	68	1.0381	0.4758	1.0381	1.0189
No log	18.0	72	1.0187	0.4773	1.0187	1.0093
No log	19.0	76	0.9518	0.4833	0.9518	0.9756
No log	20.0	80	0.9751	0.4713	0.9751	0.9875
No log	21.0	84	0.8833	0.5067	0.8833	0.9398
No log	22.0	88	1.1436	0.4325	1.1436	1.0694
No log	23.0	92	1.0852	0.4938	1.0852	1.0417
No log	24.0	96	2.2063	0.1869	2.2063	1.4853
No log	25.0	100	0.8534	0.5039	0.8534	0.9238
No log	26.0	104	0.7399	0.5164	0.7399	0.8602
No log	27.0	108	1.2252	0.3625	1.2252	1.1069
No log	28.0	112	1.0075	0.4789	1.0075	1.0037
No log	29.0	116	0.9042	0.4984	0.9042	0.9509

genki10/Version3_ASAP_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold4

Version3_ASAP_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold4