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	5	8.0379	0.0	8.0382	2.8352
No log	2.0	10	4.2642	0.0081	4.2649	2.0652
No log	3.0	15	1.9673	0.0640	1.9679	1.4028
No log	4.0	20	1.0072	0.0213	1.0077	1.0038
No log	5.0	25	1.2725	0.0107	1.2729	1.1282
No log	6.0	30	0.7761	0.4055	0.7764	0.8811
No log	7.0	35	0.9143	0.1331	0.9145	0.9563
No log	8.0	40	0.8712	0.2516	0.8713	0.9335
No log	9.0	45	1.1349	0.2620	1.1350	1.0653
No log	10.0	50	1.2601	0.2865	1.2602	1.1226
No log	11.0	55	0.8354	0.3733	0.8356	0.9141
No log	12.0	60	0.7118	0.4141	0.7119	0.8438
No log	13.0	65	0.9770	0.3715	0.9770	0.9885
No log	14.0	70	1.0690	0.3439	1.0690	1.0339
No log	15.0	75	1.0113	0.3683	1.0111	1.0055
No log	16.0	80	0.8324	0.4110	0.8321	0.9122
No log	17.0	85	1.6388	0.1995	1.6385	1.2800
No log	18.0	90	0.9744	0.3676	0.9741	0.9870
No log	19.0	95	1.8046	0.1902	1.8043	1.3432
No log	20.0	100	1.6919	0.1808	1.6916	1.3006
No log	21.0	105	0.8424	0.3573	0.8421	0.9177
No log	22.0	110	0.8847	0.3731	0.8844	0.9404
No log	23.0	115	1.6532	0.1932	1.6528	1.2856
No log	24.0	120	1.4047	0.2596	1.4042	1.1850
No log	25.0	125	1.4178	0.2334	1.4173	1.1905
No log	26.0	130	1.1340	0.2397	1.1337	1.0647
No log	27.0	135	0.9473	0.3594	0.9470	0.9731

genki10/Trial3BERT_AugV8_k7_task1_organization_sp030_lw010_fold2

Trial3BERT_AugV8_k7_task1_organization_sp030_lw010_fold2