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	11.4490	0.0127	11.4489	3.3836
No log	2.0	4	9.0862	0.0	9.0862	3.0143
No log	3.0	6	7.2899	0.0	7.2900	2.7000
No log	4.0	8	5.4909	0.0617	5.4914	2.3434
No log	5.0	10	4.5236	0.0165	4.5240	2.1270
No log	6.0	12	3.6709	0.0039	3.6713	1.9161
No log	7.0	14	3.0332	0.0	3.0336	1.7417
No log	8.0	16	2.2573	0.1039	2.2577	1.5026
No log	9.0	18	1.7607	0.0837	1.7611	1.3271
No log	10.0	20	1.3737	0.0345	1.3741	1.1722
No log	11.0	22	1.3399	0.0107	1.3404	1.1577
No log	12.0	24	1.2911	0.0174	1.2916	1.1365
No log	13.0	26	0.9638	0.0502	0.9641	0.9819
No log	14.0	28	0.9894	0.0579	0.9897	0.9949
No log	15.0	30	0.9201	0.1405	0.9204	0.9594
No log	16.0	32	1.1157	0.0957	1.1160	1.0564
No log	17.0	34	0.9245	0.1600	0.9247	0.9616
No log	18.0	36	0.6515	0.4302	0.6516	0.8072
No log	19.0	38	0.6233	0.4393	0.6235	0.7896
No log	20.0	40	0.7801	0.4124	0.7801	0.8832
No log	21.0	42	0.6210	0.4730	0.6211	0.7881
No log	22.0	44	0.6354	0.4243	0.6353	0.7970
No log	23.0	46	0.6494	0.4400	0.6492	0.8058
No log	24.0	48	0.7274	0.3991	0.7270	0.8526
No log	25.0	50	0.7651	0.3885	0.7645	0.8744
No log	26.0	52	0.7926	0.3589	0.7920	0.8899
No log	27.0	54	0.9328	0.3804	0.9320	0.9654
No log	28.0	56	0.8934	0.3893	0.8924	0.9447
No log	29.0	58	1.1011	0.3503	1.1000	1.0488
No log	30.0	60	0.9446	0.4031	0.9435	0.9713
No log	31.0	62	0.9219	0.3941	0.9209	0.9596

genki10/ASAP_FineTuningBERT_AugV6_k2_task1_organization_k2_k2_fold2

ASAP_FineTuningBERT_AugV6_k2_task1_organization_k2_k2_fold2