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	6	5.4451	0.0421	5.4453	2.3335
No log	2.0	12	2.6561	0.0	2.6566	1.6299
No log	3.0	18	1.2277	0.0	1.2283	1.1083
No log	4.0	24	1.3835	0.0	1.3839	1.1764
No log	5.0	30	1.5015	0.0174	1.5018	1.2255
No log	6.0	36	1.5761	0.0753	1.5763	1.2555
No log	7.0	42	1.2788	0.1040	1.2785	1.1307
No log	8.0	48	1.3494	0.1518	1.3485	1.1612
No log	9.0	54	1.0848	0.2385	1.0838	1.0411
No log	10.0	60	1.2741	0.1439	1.2733	1.1284
No log	11.0	66	1.0173	0.2681	1.0166	1.0083
No log	12.0	72	0.9111	0.2770	0.9108	0.9544
No log	13.0	78	0.8789	0.4167	0.8784	0.9373
No log	14.0	84	0.8778	0.4349	0.8772	0.9366
No log	15.0	90	1.0857	0.3266	1.0852	1.0417
No log	16.0	96	0.9799	0.2705	0.9798	0.9898
No log	17.0	102	0.9302	0.3478	0.9298	0.9643
No log	18.0	108	0.9261	0.3790	0.9255	0.9620
No log	19.0	114	0.8686	0.3820	0.8680	0.9317
No log	20.0	120	0.8694	0.3542	0.8690	0.9322
No log	21.0	126	1.0687	0.2674	1.0682	1.0335
No log	22.0	132	0.9145	0.3466	0.9140	0.9561
No log	23.0	138	0.9469	0.2687	0.9470	0.9731
No log	24.0	144	1.0712	0.2237	1.0713	1.0350

genki10/ASAP_FineTuningBERT_AugV7_k7_task1_organization_k7_k7_fold2

ASAP_FineTuningBERT_AugV7_k7_task1_organization_k7_k7_fold2