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	10.5612	0.0	10.5615	3.2498
No log	2.0	4	9.9991	0.0	9.9992	3.1621
No log	3.0	6	9.2777	0.0	9.2777	3.0459
No log	4.0	8	7.4407	0.0	7.4409	2.7278
No log	5.0	10	6.1598	0.0081	6.1601	2.4819
No log	6.0	12	4.9890	0.0060	4.9894	2.2337
No log	7.0	14	4.0406	0.0	4.0410	2.0102
No log	8.0	16	3.0500	0.0	3.0504	1.7465
No log	9.0	18	2.0781	0.1096	2.0785	1.4417
No log	10.0	20	1.4493	0.0202	1.4497	1.2040
No log	11.0	22	1.2262	0.0107	1.2267	1.1075
No log	12.0	24	1.3710	0.0787	1.3714	1.1711
No log	13.0	26	1.2106	0.0776	1.2110	1.1005
No log	14.0	28	1.0543	0.0799	1.0547	1.0270
No log	15.0	30	1.1083	0.1052	1.1085	1.0529
No log	16.0	32	1.5063	0.1827	1.5066	1.2274
No log	17.0	34	0.9584	0.2435	0.9585	0.9790
No log	18.0	36	1.0966	0.2678	1.0966	1.0472
No log	19.0	38	1.7209	0.1758	1.7210	1.3119
No log	20.0	40	0.8843	0.3635	0.8842	0.9403
No log	21.0	42	0.9012	0.3667	0.9010	0.9492
No log	22.0	44	1.4543	0.2109	1.4540	1.2058
No log	23.0	46	0.8370	0.3546	0.8367	0.9147
No log	24.0	48	1.0308	0.3011	1.0305	1.0151
No log	25.0	50	1.4787	0.2270	1.4783	1.2158
No log	26.0	52	1.2636	0.2902	1.2630	1.1239
No log	27.0	54	1.5898	0.2307	1.5893	1.2607
No log	28.0	56	1.0857	0.3210	1.0852	1.0417
No log	29.0	58	1.3395	0.3004	1.3390	1.1572
No log	30.0	60	1.4564	0.2913	1.4558	1.2066
No log	31.0	62	1.5153	0.2650	1.5147	1.2308

genki10/ASAP_FineTuningBERT_AugV7_k2_task1_organization_k2_k2_fold2

ASAP_FineTuningBERT_AugV7_k2_task1_organization_k2_k2_fold2