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	8	6.3417	-0.0005	6.3422	2.5184
No log	2.0	16	2.2921	0.1028	2.2926	1.5141
No log	3.0	24	1.5783	0.0202	1.5787	1.2565
No log	4.0	32	0.9227	0.0542	0.9231	0.9608
No log	5.0	40	0.7387	0.2296	0.7390	0.8596
No log	6.0	48	0.7151	0.1825	0.7155	0.8458
No log	7.0	56	1.6538	0.0583	1.6536	1.2859
No log	8.0	64	0.7228	0.2296	0.7231	0.8504
No log	9.0	72	0.7999	0.3802	0.8001	0.8945
No log	10.0	80	0.6642	0.2916	0.6643	0.8151
No log	11.0	88	0.7873	0.4365	0.7874	0.8874
No log	12.0	96	0.7341	0.4205	0.7343	0.8569
No log	13.0	104	0.6422	0.3885	0.6422	0.8014
No log	14.0	112	0.8249	0.4138	0.8249	0.9083
No log	15.0	120	1.0707	0.3073	1.0708	1.0348
No log	16.0	128	1.1640	0.2380	1.1640	1.0789
No log	17.0	136	1.1296	0.2833	1.1295	1.0628
No log	18.0	144	1.1982	0.3037	1.1980	1.0945
No log	19.0	152	1.5165	0.2022	1.5162	1.2313
No log	20.0	160	1.2042	0.2761	1.2040	1.0973
No log	21.0	168	0.9628	0.2929	0.9625	0.9811
No log	22.0	176	1.3727	0.2345	1.3723	1.1715
No log	23.0	184	0.9256	0.3347	0.9256	0.9621
No log	24.0	192	1.3732	0.2083	1.3730	1.1717
No log	25.0	200	1.5729	0.1802	1.5726	1.2541
No log	26.0	208	1.1068	0.2507	1.1066	1.0519

genki10/BERT_AugV8_k10_task1_organization_sp030_lw050_fold2

BERT_AugV8_k10_task1_organization_sp030_lw050_fold2