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	6	9.3996	0.0018	9.3996	3.0659
No log	2.0	12	5.4952	0.0442	5.4952	2.3442
No log	3.0	18	2.6341	0.0154	2.6341	1.6230
No log	4.0	24	1.6136	0.0445	1.6136	1.2703
No log	5.0	30	1.3707	0.0420	1.3707	1.1708
No log	6.0	36	1.6424	0.1295	1.6424	1.2816
No log	7.0	42	1.2888	0.2373	1.2888	1.1353
No log	8.0	48	1.7948	0.1906	1.7948	1.3397
No log	9.0	54	1.4979	0.2347	1.4979	1.2239
No log	10.0	60	1.3461	0.2618	1.3461	1.1602
No log	11.0	66	2.0033	0.1645	2.0033	1.4154
No log	12.0	72	2.2118	0.1364	2.2118	1.4872
No log	13.0	78	1.7955	0.1963	1.7955	1.3399
No log	14.0	84	2.1856	0.1617	2.1856	1.4784
No log	15.0	90	2.1807	0.1514	2.1807	1.4767
No log	16.0	96	2.0527	0.1660	2.0527	1.4327
No log	17.0	102	2.4773	0.1344	2.4773	1.5740
No log	18.0	108	2.5250	0.1237	2.5250	1.5890
No log	19.0	114	2.8946	0.1115	2.8946	1.7014
No log	20.0	120	2.5814	0.1350	2.5814	1.6067
No log	21.0	126	2.3717	0.1420	2.3717	1.5400
No log	22.0	132	2.2022	0.1451	2.2022	1.4840
No log	23.0	138	3.1776	0.1017	3.1776	1.7826
No log	24.0	144	2.2711	0.1339	2.2711	1.5070
No log	25.0	150	1.5334	0.2318	1.5334	1.2383

genki10/Trial3BERT_AugV8_k7_task1_organization_sp020_lw070_fold4

Trial3BERT_AugV8_k7_task1_organization_sp020_lw070_fold4