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	8	5.8629	0.0211	5.8629	2.4213
No log	2.0	16	2.2564	0.0687	2.2564	1.5021
No log	3.0	24	1.5748	0.0	1.5748	1.2549
No log	4.0	32	1.8484	0.0	1.8484	1.3596
No log	5.0	40	2.3080	-0.0354	2.3080	1.5192
No log	6.0	48	2.2414	-0.0881	2.2414	1.4971
No log	7.0	56	1.2205	-0.0030	1.2205	1.1048
No log	8.0	64	1.5675	-0.0506	1.5675	1.2520
No log	9.0	72	1.4119	0.0162	1.4119	1.1882
No log	10.0	80	1.1938	-0.0183	1.1938	1.0926
No log	11.0	88	1.6207	-0.0035	1.6207	1.2731
No log	12.0	96	1.9722	-0.0115	1.9722	1.4043
No log	13.0	104	2.2840	-0.0726	2.2840	1.5113
No log	14.0	112	2.8111	-0.0759	2.8111	1.6766
No log	15.0	120	1.8402	-0.0501	1.8402	1.3565
No log	16.0	128	1.6896	-0.0836	1.6896	1.2998
No log	17.0	136	1.7585	-0.0223	1.7585	1.3261
No log	18.0	144	2.0497	0.0061	2.0497	1.4317
No log	19.0	152	1.9179	0.0235	1.9179	1.3849
No log	20.0	160	1.5368	-0.0669	1.5368	1.2397
No log	21.0	168	1.6911	-0.1026	1.6911	1.3004
No log	22.0	176	2.1979	-0.0725	2.1979	1.4825

genki10/Version12NewTestASAP_FineTuningBERT_AugV12_k10_task1_organization_k10_k10_fold3

Version12NewTestASAP_FineTuningBERT_AugV12_k10_task1_organization_k10_k10_fold3