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	4.8498	0.0079	4.8498	2.2022
No log	2.0	16	2.4247	0.0276	2.4247	1.5572
No log	3.0	24	1.5240	0.0238	1.5240	1.2345
No log	4.0	32	1.0212	0.0342	1.0212	1.0106
No log	5.0	40	0.9043	0.1652	0.9043	0.9509
No log	6.0	48	0.8128	0.1835	0.8128	0.9015
No log	7.0	56	0.8136	0.2433	0.8136	0.9020
No log	8.0	64	0.7737	0.3725	0.7737	0.8796
No log	9.0	72	0.7937	0.3994	0.7937	0.8909
No log	10.0	80	0.9434	0.3202	0.9434	0.9713
No log	11.0	88	0.9176	0.4693	0.9176	0.9579
No log	12.0	96	0.9791	0.3099	0.9791	0.9895
No log	13.0	104	0.9672	0.3020	0.9672	0.9835
No log	14.0	112	0.9244	0.2521	0.9244	0.9615
No log	15.0	120	0.9732	0.2913	0.9732	0.9865
No log	16.0	128	0.9034	0.3374	0.9034	0.9505
No log	17.0	136	1.3024	0.2810	1.3024	1.1412
No log	18.0	144	1.0836	0.2253	1.0836	1.0410
No log	19.0	152	0.9978	0.3109	0.9978	0.9989
No log	20.0	160	1.5688	0.1669	1.5688	1.2525
No log	21.0	168	1.2581	0.2349	1.2581	1.1216
No log	22.0	176	1.5466	0.1265	1.5466	1.2436
No log	23.0	184	1.2610	0.2067	1.2610	1.1230
No log	24.0	192	1.6085	0.1806	1.6085	1.2683
No log	25.0	200	1.4665	0.1796	1.4665	1.2110
No log	26.0	208	1.4567	0.1308	1.4567	1.2070

genki10/BERT_AugV8_k10_task1_organization_sp030_lw050_fold4

BERT_AugV8_k10_task1_organization_sp030_lw050_fold4