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	8.4472	-0.0008	8.4472	2.9064
No log	2.0	10	4.6079	0.0117	4.6085	2.1467
No log	3.0	15	3.0267	0.0	3.0272	1.7399
No log	4.0	20	1.4375	0.0318	1.4379	1.1991
No log	5.0	25	1.1702	0.0107	1.1706	1.0819
No log	6.0	30	1.0271	0.0107	1.0275	1.0137
No log	7.0	35	0.9604	0.0482	0.9607	0.9802
No log	8.0	40	0.7737	0.3781	0.7740	0.8798
No log	9.0	45	0.6092	0.3944	0.6094	0.7806
No log	10.0	50	0.6861	0.3832	0.6862	0.8284
No log	11.0	55	0.5344	0.4472	0.5342	0.7309
No log	12.0	60	0.5983	0.4875	0.5982	0.7734
No log	13.0	65	0.5198	0.5198	0.5196	0.7208
No log	14.0	70	0.5476	0.5132	0.5474	0.7399
No log	15.0	75	0.5391	0.5301	0.5390	0.7341
No log	16.0	80	0.6173	0.4807	0.6172	0.7857
No log	17.0	85	0.7949	0.3690	0.7947	0.8915
No log	18.0	90	0.7868	0.4073	0.7867	0.8869
No log	19.0	95	0.8124	0.3728	0.8125	0.9014
No log	20.0	100	0.6935	0.4040	0.6935	0.8328
No log	21.0	105	0.7344	0.3855	0.7345	0.8570
No log	22.0	110	0.7430	0.3746	0.7431	0.8620
No log	23.0	115	0.8237	0.3539	0.8236	0.9075
No log	24.0	120	0.6872	0.4721	0.6870	0.8289
No log	25.0	125	0.6639	0.4202	0.6639	0.8148
No log	26.0	130	0.7358	0.3587	0.7358	0.8578
No log	27.0	135	0.7432	0.4047	0.7431	0.8620
No log	28.0	140	0.9255	0.2972	0.9255	0.9620
No log	29.0	145	0.7852	0.3297	0.7853	0.8862
No log	30.0	150	0.7046	0.3917	0.7046	0.8394

genki10/BERT_AugV8_k7_task1_organization_sp040_lw030_fold2

BERT_AugV8_k7_task1_organization_sp040_lw030_fold2