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	10.2377	0.0037	10.2351	3.1992
No log	2.0	4	9.6073	0.0	9.6047	3.0991
No log	3.0	6	8.7150	0.0	8.7124	2.9517
No log	4.0	8	7.0569	0.0	7.0546	2.6560
No log	5.0	10	5.8111	0.0321	5.8090	2.4102
No log	6.0	12	4.6385	0.0040	4.6364	2.1532
No log	7.0	14	3.8109	0.0	3.8089	1.9516
No log	8.0	16	2.8764	0.0	2.8746	1.6955
No log	9.0	18	2.0771	0.1048	2.0754	1.4406
No log	10.0	20	1.4696	0.0106	1.4681	1.2117
No log	11.0	22	1.2208	0.0	1.2193	1.1042
No log	12.0	24	1.1980	0.0106	1.1965	1.0939
No log	13.0	26	1.1996	0.0315	1.1982	1.0946
No log	14.0	28	1.0790	0.0315	1.0777	1.0381
No log	15.0	30	0.8635	0.1036	0.8623	0.9286
No log	16.0	32	0.9517	0.1772	0.9504	0.9749
No log	17.0	34	0.9229	0.2660	0.9216	0.9600
No log	18.0	36	0.8507	0.3095	0.8495	0.9217
No log	19.0	38	0.8516	0.3307	0.8503	0.9221
No log	20.0	40	0.7416	0.4372	0.7404	0.8605
No log	21.0	42	0.7380	0.4305	0.7368	0.8584
No log	22.0	44	0.7619	0.4167	0.7606	0.8721
No log	23.0	46	0.9721	0.3682	0.9708	0.9853
No log	24.0	48	0.6962	0.4547	0.6951	0.8337
No log	25.0	50	0.6993	0.4582	0.6981	0.8355
No log	26.0	52	0.8932	0.3837	0.8919	0.9444
No log	27.0	54	0.7681	0.4325	0.7669	0.8757
No log	28.0	56	0.7710	0.4254	0.7698	0.8774
No log	29.0	58	1.0409	0.3586	1.0394	1.0195
No log	30.0	60	1.0919	0.3622	1.0903	1.0442
No log	31.0	62	0.9815	0.3870	0.9803	0.9901
No log	32.0	64	0.9682	0.4055	0.9671	0.9834
No log	33.0	66	0.9334	0.4003	0.9323	0.9656
No log	34.0	68	1.5777	0.2316	1.5765	1.2556
No log	35.0	70	1.0159	0.3537	1.0148	1.0074

genki10/ASAP_FineTuningBERT_AugV7_k1_task1_organization_k1_k1_fold1

ASAP_FineTuningBERT_AugV7_k1_task1_organization_k1_k1_fold1