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	6	5.3098	0.0309	5.3086	2.3040
No log	2.0	12	2.6505	0.0716	2.6495	1.6277
No log	3.0	18	1.4732	0.0365	1.4725	1.2135
No log	4.0	24	1.9013	0.1113	1.9007	1.3786
No log	5.0	30	2.2580	0.1153	2.2574	1.5025
No log	6.0	36	0.9427	0.2257	0.9427	0.9709
No log	7.0	42	2.7061	0.0557	2.7058	1.6449
No log	8.0	48	1.3495	0.1149	1.3498	1.1618
No log	9.0	54	1.3762	0.1233	1.3768	1.1734
No log	10.0	60	3.2826	0.0089	3.2831	1.8119
No log	11.0	66	3.1365	0.0099	3.1373	1.7712
No log	12.0	72	2.1797	0.0859	2.1806	1.4767
No log	13.0	78	1.8814	0.0765	1.8823	1.3720
No log	14.0	84	2.1599	0.0838	2.1608	1.4700
No log	15.0	90	1.7536	0.1239	1.7548	1.3247
No log	16.0	96	1.5774	0.1719	1.5785	1.2564
No log	17.0	102	1.3699	0.1939	1.3712	1.1710
No log	18.0	108	4.0976	0.0176	4.0986	2.0245
No log	19.0	114	1.3263	0.2024	1.3274	1.1521
No log	20.0	120	1.5567	0.1739	1.5581	1.2482
No log	21.0	126	4.3756	0.0004	4.3765	2.0920
No log	22.0	132	1.7678	0.0951	1.7691	1.3301
No log	23.0	138	2.5186	0.0521	2.5197	1.5874
No log	24.0	144	2.3441	0.0555	2.3452	1.5314
No log	25.0	150	1.7740	0.1174	1.7754	1.3324
No log	26.0	156	2.0470	0.1016	2.0484	1.4312
No log	27.0	162	2.7494	0.0574	2.7505	1.6585
No log	28.0	168	1.6662	0.1360	1.6676	1.2913
No log	29.0	174	1.5781	0.1419	1.5795	1.2568
No log	30.0	180	1.5524	0.1250	1.5540	1.2466
No log	31.0	186	2.1490	0.1071	2.1506	1.4665
No log	32.0	192	1.7014	0.1578	1.7031	1.3050
No log	33.0	198	2.3685	0.1172	2.3700	1.5395
No log	34.0	204	2.0841	0.1299	2.0856	1.4442
No log	35.0	210	1.6973	0.1472	1.6989	1.3034
No log	36.0	216	1.5150	0.2045	1.5165	1.2315

genki10/Version22NewTestASAP_FineTuningBERT_AugV22_k10_task1_organization_k10_k10_fold3

Version22NewTestASAP_FineTuningBERT_AugV22_k10_task1_organization_k10_k10_fold3