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	8.5096	0.0	8.5096	2.9171
No log	2.0	8	4.9475	0.0157	4.9475	2.2243
No log	3.0	12	2.8521	0.0040	2.8521	1.6888
No log	4.0	16	1.8422	0.0470	1.8422	1.3573
No log	5.0	20	1.1463	0.0316	1.1463	1.0707
No log	6.0	24	0.9921	0.0316	0.9921	0.9961
No log	7.0	28	1.0857	0.0445	1.0857	1.0420
No log	8.0	32	0.8802	0.2626	0.8802	0.9382
No log	9.0	36	0.9110	0.1973	0.9110	0.9545
No log	10.0	40	0.7183	0.4560	0.7183	0.8475
No log	11.0	44	0.6490	0.3844	0.6490	0.8056
No log	12.0	48	0.6221	0.4787	0.6221	0.7887
No log	13.0	52	0.5559	0.5551	0.5559	0.7456
No log	14.0	56	0.6909	0.4372	0.6909	0.8312
No log	15.0	60	0.6313	0.5330	0.6313	0.7945
No log	16.0	64	0.8762	0.4569	0.8762	0.9360
No log	17.0	68	0.7080	0.5127	0.7080	0.8414
No log	18.0	72	0.7348	0.4945	0.7348	0.8572
No log	19.0	76	0.7808	0.4801	0.7808	0.8836
No log	20.0	80	0.6852	0.5218	0.6852	0.8278
No log	21.0	84	0.9093	0.3881	0.9093	0.9536
No log	22.0	88	0.7020	0.4930	0.7020	0.8379
No log	23.0	92	0.7467	0.4794	0.7467	0.8641
No log	24.0	96	0.7598	0.4731	0.7598	0.8717
No log	25.0	100	0.7969	0.4615	0.7969	0.8927
No log	26.0	104	0.7472	0.4411	0.7472	0.8644
No log	27.0	108	0.8749	0.4242	0.8749	0.9354
No log	28.0	112	0.6986	0.4932	0.6986	0.8358

genki10/BERT_AugV8_k5_task1_organization_sp020_lw040_fold4

BERT_AugV8_k5_task1_organization_sp020_lw040_fold4