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	7.6060	0.0	7.6062	2.7579
No log	2.0	16	3.1100	0.0	3.1104	1.7636
No log	3.0	24	1.8940	0.0688	1.8945	1.3764
No log	4.0	32	2.1462	0.1379	2.1466	1.4651
No log	5.0	40	1.6490	0.1360	1.6486	1.2840
No log	6.0	48	0.8037	0.3913	0.8034	0.8963
No log	7.0	56	1.1368	0.2810	1.1357	1.0657
No log	8.0	64	1.4952	0.2056	1.4942	1.2224
No log	9.0	72	0.9775	0.3463	0.9773	0.9886
No log	10.0	80	1.8862	0.1553	1.8859	1.3733
No log	11.0	88	1.0846	0.2746	1.0845	1.0414
No log	12.0	96	1.4100	0.1732	1.4097	1.1873
No log	13.0	104	1.5168	0.1723	1.5164	1.2314
No log	14.0	112	1.0548	0.3073	1.0549	1.0271
No log	15.0	120	2.3182	0.1367	2.3179	1.5225
No log	16.0	128	1.1764	0.2393	1.1763	1.0846
No log	17.0	136	1.8555	0.1418	1.8552	1.3621
No log	18.0	144	1.3354	0.2819	1.3356	1.1557
No log	19.0	152	1.3186	0.2731	1.3188	1.1484
No log	20.0	160	1.6925	0.1759	1.6928	1.3011
No log	21.0	168	1.0478	0.2848	1.0481	1.0238

genki10/BERT_AugV8_k10_task1_organization_sp040_lw040_fold2

BERT_AugV8_k10_task1_organization_sp040_lw040_fold2