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	10.1768	0.0028	10.1768	3.1901
No log	2.0	4	8.9124	0.0	8.9124	2.9854
No log	3.0	6	6.9679	0.0	6.9679	2.6397
No log	4.0	8	5.7213	0.0283	5.7213	2.3919
No log	5.0	10	4.5052	0.0115	4.5052	2.1225
No log	6.0	12	3.5058	0.0115	3.5058	1.8724
No log	7.0	14	2.6799	0.0115	2.6799	1.6370
No log	8.0	16	2.0748	0.0976	2.0748	1.4404
No log	9.0	18	1.6126	0.0548	1.6126	1.2699
No log	10.0	20	1.3571	0.0419	1.3571	1.1649
No log	11.0	22	1.2477	0.0484	1.2477	1.1170
No log	12.0	24	1.0011	0.0419	1.0011	1.0005
No log	13.0	26	0.9783	0.0419	0.9783	0.9891
No log	14.0	28	1.1069	0.0638	1.1069	1.0521
No log	15.0	30	1.5481	0.1424	1.5481	1.2442
No log	16.0	32	1.3126	0.1424	1.3126	1.1457
No log	17.0	34	0.7039	0.3892	0.7039	0.8390
No log	18.0	36	0.7806	0.3244	0.7806	0.8835
No log	19.0	38	2.3918	0.0651	2.3918	1.5465
No log	20.0	40	2.6456	0.0418	2.6456	1.6265
No log	21.0	42	1.1248	0.1792	1.1248	1.0605
No log	22.0	44	0.6383	0.4122	0.6383	0.7989
No log	23.0	46	0.7812	0.4128	0.7812	0.8838
No log	24.0	48	1.5658	0.1657	1.5658	1.2513
No log	25.0	50	1.5917	0.1528	1.5917	1.2616
No log	26.0	52	0.8331	0.3468	0.8331	0.9127
No log	27.0	54	0.7414	0.3241	0.7414	0.8610
No log	28.0	56	0.9808	0.2157	0.9808	0.9904
No log	29.0	58	1.6572	0.0928	1.6572	1.2873
No log	30.0	60	1.4208	0.1709	1.4208	1.1920
No log	31.0	62	0.9294	0.3354	0.9294	0.9640
No log	32.0	64	0.8098	0.3975	0.8098	0.8999
No log	33.0	66	0.9757	0.3828	0.9757	0.9878

genki10/ASAP_FineTuningBERT_AugV7_k1_task1_organization_k1_k1_fold0

ASAP_FineTuningBERT_AugV7_k1_task1_organization_k1_k1_fold0