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: 100

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	2	12.7344	0.0	12.7344	3.5685
No log	2.0	4	10.1365	0.0	10.1365	3.1838
No log	3.0	6	8.4737	0.0	8.4737	2.9110
No log	4.0	8	6.3555	0.0059	6.3555	2.5210
No log	5.0	10	4.7246	0.0	4.7246	2.1736
No log	6.0	12	3.4602	0.0	3.4602	1.8602
No log	7.0	14	2.5296	0.1228	2.5296	1.5905
No log	8.0	16	1.9173	0.0449	1.9173	1.3847
No log	9.0	18	1.4679	0.0	1.4679	1.2116
No log	10.0	20	1.2011	0.0	1.2011	1.0960
No log	11.0	22	0.9396	0.1463	0.9396	0.9694
No log	12.0	24	0.8243	0.1689	0.8243	0.9079
No log	13.0	26	0.7112	0.2569	0.7112	0.8433
No log	14.0	28	0.6531	0.2455	0.6531	0.8082
No log	15.0	30	0.6159	0.3810	0.6159	0.7848
No log	16.0	32	0.5243	0.4521	0.5243	0.7241
No log	17.0	34	0.5449	0.6069	0.5449	0.7382
No log	18.0	36	0.5657	0.6517	0.5657	0.7521
No log	19.0	38	0.6356	0.6467	0.6356	0.7972
No log	20.0	40	0.6574	0.6514	0.6574	0.8108
No log	21.0	42	0.6730	0.6460	0.6730	0.8204
No log	22.0	44	1.0641	0.4819	1.0641	1.0315
No log	23.0	46	0.8926	0.5385	0.8926	0.9448
No log	24.0	48	0.7666	0.6351	0.7666	0.8756
No log	25.0	50	1.0063	0.5481	1.0063	1.0031
No log	26.0	52	0.6548	0.5953	0.6548	0.8092
No log	27.0	54	0.9694	0.5783	0.9694	0.9846
No log	28.0	56	0.5994	0.6089	0.5994	0.7742
No log	29.0	58	0.9252	0.5811	0.9252	0.9619
No log	30.0	60	0.7118	0.6098	0.7118	0.8437
No log	31.0	62	1.2575	0.4670	1.2575	1.1214
No log	32.0	64	0.8588	0.6076	0.8588	0.9267
No log	33.0	66	1.2305	0.4794	1.2305	1.1093
No log	34.0	68	0.7855	0.6091	0.7855	0.8863
No log	35.0	70	1.2563	0.4698	1.2563	1.1209
No log	36.0	72	0.8437	0.5952	0.8437	0.9185
No log	37.0	74	1.4078	0.4327	1.4078	1.1865
No log	38.0	76	1.0574	0.5194	1.0574	1.0283

genki10/Version12LowDevASAP_FineTuningBERT_AugV12_k5_task1_organization_k5_k5_fold4

Version12LowDevASAP_FineTuningBERT_AugV12_k5_task1_organization_k5_k5_fold4