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	6	6.7095	0.0	6.7095	2.5903
No log	2.0	12	4.1351	0.0039	4.1351	2.0335
No log	3.0	18	1.9841	0.0601	1.9841	1.4086
No log	4.0	24	1.6348	0.0212	1.6348	1.2786
No log	5.0	30	1.4948	0.0316	1.4948	1.2226
No log	6.0	36	1.9002	0.0783	1.9002	1.3785
No log	7.0	42	1.0097	0.0831	1.0097	1.0048
No log	8.0	48	0.8126	0.3316	0.8126	0.9014
No log	9.0	54	0.6920	0.2843	0.6920	0.8319
No log	10.0	60	1.3812	0.0937	1.3812	1.1752
No log	11.0	66	0.6468	0.2780	0.6468	0.8042
No log	12.0	72	0.9405	0.2357	0.9405	0.9698
No log	13.0	78	0.7714	0.2670	0.7714	0.8783
No log	14.0	84	0.8125	0.2275	0.8125	0.9014
No log	15.0	90	0.8891	0.2565	0.8891	0.9429
No log	16.0	96	0.7531	0.3537	0.7531	0.8678
No log	17.0	102	1.1167	0.2281	1.1167	1.0568
No log	18.0	108	0.8753	0.2737	0.8753	0.9356
No log	19.0	114	0.9502	0.3070	0.9502	0.9748
No log	20.0	120	1.0930	0.1977	1.0930	1.0455
No log	21.0	126	0.9631	0.2619	0.9631	0.9814
No log	22.0	132	0.8926	0.3172	0.8926	0.9448
No log	23.0	138	1.2167	0.1925	1.2167	1.1031
No log	24.0	144	0.9635	0.2572	0.9635	0.9816
No log	25.0	150	0.8493	0.3359	0.8493	0.9216
No log	26.0	156	0.8387	0.3514	0.8387	0.9158
No log	27.0	162	0.9143	0.3111	0.9143	0.9562
No log	28.0	168	1.0085	0.2213	1.0085	1.0042
No log	29.0	174	0.9406	0.2935	0.9406	0.9699
No log	30.0	180	1.2946	0.1886	1.2946	1.1378
No log	31.0	186	0.8313	0.3109	0.8313	0.9117

genki10/BERT_AugV8_k7_task1_organization_sp060_lw030_fold0

BERT_AugV8_k7_task1_organization_sp060_lw030_fold0