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	9.9211	0.0	9.9210	3.1498
No log	2.0	10	6.2768	0.0017	6.2771	2.5054
No log	3.0	15	3.7647	0.0	3.7652	1.9404
No log	4.0	20	1.8793	0.0422	1.8797	1.3710
No log	5.0	25	1.0391	0.0107	1.0395	1.0196
No log	6.0	30	0.8782	0.0663	0.8787	0.9374
No log	7.0	35	0.8226	0.1851	0.8231	0.9072
No log	8.0	40	0.8377	0.3224	0.8380	0.9154
No log	9.0	45	0.7133	0.3577	0.7136	0.8448
No log	10.0	50	0.6164	0.4379	0.6167	0.7853
No log	11.0	55	0.5393	0.5047	0.5394	0.7344
No log	12.0	60	0.5405	0.4715	0.5406	0.7352
No log	13.0	65	0.6744	0.4050	0.6746	0.8213
No log	14.0	70	0.7273	0.4384	0.7275	0.8529
No log	15.0	75	0.7437	0.4131	0.7440	0.8625
No log	16.0	80	0.8185	0.3243	0.8189	0.9050
No log	17.0	85	0.6483	0.4602	0.6484	0.8053
No log	18.0	90	0.7688	0.3526	0.7692	0.8770
No log	19.0	95	1.1195	0.2337	1.1200	1.0583
No log	20.0	100	1.0607	0.2257	1.0612	1.0301
No log	21.0	105	0.7466	0.3591	0.7470	0.8643
No log	22.0	110	0.6378	0.4436	0.6379	0.7987
No log	23.0	115	0.7228	0.3813	0.7230	0.8503
No log	24.0	120	0.8870	0.2931	0.8874	0.9420
No log	25.0	125	1.0526	0.2201	1.0532	1.0263
No log	26.0	130	0.8147	0.3356	0.8151	0.9028

genki10/Trial3BERT_AugV8_k7_task1_organization_sp010_lw030_fold2

Trial3BERT_AugV8_k7_task1_organization_sp010_lw030_fold2