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	5.4153	0.0547	5.4144	2.3269
No log	2.0	16	1.8877	0.1108	1.8870	1.3737
No log	3.0	24	2.1923	0.1053	2.1918	1.4805
No log	4.0	32	1.2445	0.0503	1.2444	1.1155
No log	5.0	40	0.8031	0.3680	0.8034	0.8963
No log	6.0	48	0.6693	0.3283	0.6694	0.8182
No log	7.0	56	0.7744	0.2112	0.7746	0.8801
No log	8.0	64	1.0506	0.1972	1.0503	1.0248
No log	9.0	72	0.9148	0.2586	0.9148	0.9564
No log	10.0	80	1.1511	0.2173	1.1510	1.0729
No log	11.0	88	2.0915	0.0547	2.0910	1.4460
No log	12.0	96	2.1093	0.0536	2.1090	1.4522
No log	13.0	104	1.3815	0.1695	1.3815	1.1754
No log	14.0	112	2.2430	0.0575	2.2425	1.4975
No log	15.0	120	1.3308	0.2074	1.3308	1.1536
No log	16.0	128	1.5730	0.1351	1.5728	1.2541
No log	17.0	136	2.3464	0.0458	2.3458	1.5316
No log	18.0	144	1.3013	0.1571	1.3011	1.1407
No log	19.0	152	1.4041	0.1790	1.4040	1.1849
No log	20.0	160	1.8290	0.1070	1.8286	1.3522

genki10/BERT_AugV8_k10_task1_organization_sp020_lw060_fold3

BERT_AugV8_k10_task1_organization_sp020_lw060_fold3