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	4	9.3450	0.0	9.3425	3.0565
No log	2.0	8	5.6807	0.0497	5.6785	2.3830
No log	3.0	12	3.4917	0.0	3.4898	1.8681
No log	4.0	16	2.2222	0.1464	2.2205	1.4901
No log	5.0	20	1.4165	0.0211	1.4150	1.1895
No log	6.0	24	1.0857	0.0	1.0843	1.0413
No log	7.0	28	0.9477	0.0211	0.9464	0.9728
No log	8.0	32	1.3605	0.1312	1.3590	1.1658
No log	9.0	36	1.4014	0.1685	1.3998	1.1831
No log	10.0	40	1.3060	0.1967	1.3043	1.1421
No log	11.0	44	1.4661	0.2162	1.4643	1.2101
No log	12.0	48	1.3499	0.2473	1.3477	1.1609
No log	13.0	52	0.7560	0.3768	0.7542	0.8685
No log	14.0	56	1.2481	0.2537	1.2455	1.1160
No log	15.0	60	0.9181	0.3115	0.9158	0.9570
No log	16.0	64	1.0186	0.3119	1.0161	1.0080
No log	17.0	68	1.3426	0.2628	1.3396	1.1574
No log	18.0	72	2.1621	0.1386	2.1592	1.4694
No log	19.0	76	1.2406	0.3018	1.2377	1.1125
No log	20.0	80	1.8673	0.1918	1.8645	1.3655
No log	21.0	84	0.9183	0.3718	0.9158	0.9570
No log	22.0	88	2.1634	0.1346	2.1606	1.4699
No log	23.0	92	0.9124	0.3496	0.9101	0.9540
No log	24.0	96	1.9597	0.1467	1.9570	1.3989
No log	25.0	100	0.9376	0.2905	0.9353	0.9671
No log	26.0	104	1.5993	0.1950	1.5966	1.2636
No log	27.0	108	1.1167	0.2588	1.1142	1.0556
No log	28.0	112	1.4998	0.2349	1.4972	1.2236

genki10/Trial3BERT_AugV8_k5_task1_organization_sp050_lw010_fold1

Trial3BERT_AugV8_k5_task1_organization_sp050_lw010_fold1