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	7	6.9406	0.0	6.9406	2.6345
No log	2.0	14	2.6896	0.0113	2.6896	1.6400
No log	3.0	21	0.9393	0.0316	0.9393	0.9692
No log	4.0	28	1.1572	0.0212	1.1572	1.0757
No log	5.0	35	0.9379	0.0763	0.9379	0.9684
No log	6.0	42	1.1549	0.0260	1.1549	1.0746
No log	7.0	49	0.8103	0.2609	0.8103	0.9002
No log	8.0	56	0.6400	0.3438	0.6400	0.8000
No log	9.0	63	0.6862	0.2938	0.6862	0.8284
No log	10.0	70	1.4183	-0.0387	1.4183	1.1909
No log	11.0	77	1.5870	-0.0401	1.5870	1.2598
No log	12.0	84	0.7732	0.2207	0.7732	0.8793
No log	13.0	91	0.8096	0.2498	0.8096	0.8998
No log	14.0	98	0.8378	0.2307	0.8378	0.9153
No log	15.0	105	1.1586	0.0658	1.1586	1.0764
No log	16.0	112	1.1521	0.1469	1.1521	1.0733
No log	17.0	119	1.6064	0.0045	1.6064	1.2674
No log	18.0	126	1.5382	0.0128	1.5382	1.2403
No log	19.0	133	1.2894	0.0436	1.2894	1.1355
No log	20.0	140	1.0758	0.1254	1.0758	1.0372
No log	21.0	147	0.9474	0.1998	0.9474	0.9733
No log	22.0	154	0.9013	0.2207	0.9013	0.9494
No log	23.0	161	0.8740	0.2174	0.8740	0.9349

genki10/BERT_AugV8_k10_task1_organization_sp020_lw030_fold0

BERT_AugV8_k10_task1_organization_sp020_lw030_fold0