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	7.0837	0.0	7.0817	2.6611
No log	2.0	8	4.2193	0.0	4.2173	2.0536
No log	3.0	12	2.6816	0.0	2.6798	1.6370
No log	4.0	16	1.6364	0.0106	1.6349	1.2786
No log	5.0	20	1.2213	0.0	1.2199	1.1045
No log	6.0	24	0.9787	0.0	0.9774	0.9886
No log	7.0	28	1.1220	0.0916	1.1203	1.0584
No log	8.0	32	0.7363	0.3854	0.7350	0.8573
No log	9.0	36	0.9057	0.2611	0.9040	0.9508
No log	10.0	40	0.7098	0.2470	0.7086	0.8418
No log	11.0	44	0.9002	0.2315	0.8983	0.9478
No log	12.0	48	0.6117	0.3880	0.6105	0.7813
No log	13.0	52	0.8426	0.3688	0.8410	0.9170
No log	14.0	56	0.7848	0.3890	0.7836	0.8852
No log	15.0	60	0.7781	0.4883	0.7768	0.8813
No log	16.0	64	1.0257	0.4306	1.0241	1.0120
No log	17.0	68	0.9085	0.4025	0.9072	0.9525
No log	18.0	72	0.9102	0.4139	0.9088	0.9533
No log	19.0	76	0.8589	0.4275	0.8576	0.9261
No log	20.0	80	0.8988	0.3839	0.8976	0.9474
No log	21.0	84	1.0951	0.3554	1.0934	1.0457
No log	22.0	88	0.8249	0.4484	0.8235	0.9075
No log	23.0	92	0.9194	0.3730	0.9180	0.9581
No log	24.0	96	0.8781	0.4560	0.8766	0.9363
No log	25.0	100	1.0186	0.3827	1.0169	1.0084
No log	26.0	104	0.7960	0.4330	0.7947	0.8915
No log	27.0	108	0.9126	0.4318	0.9110	0.9545
No log	28.0	112	0.8666	0.4369	0.8651	0.9301
No log	29.0	116	0.9087	0.4432	0.9072	0.9525
No log	30.0	120	1.0547	0.3798	1.0531	1.0262

genki10/BERT_AugV8_k5_task1_organization_sp020_lw030_fold1

BERT_AugV8_k5_task1_organization_sp020_lw030_fold1