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	8	6.7281	0.0	6.7257	2.5934
No log	2.0	16	2.5435	0.0078	2.5418	1.5943
No log	3.0	24	1.3700	0.0211	1.3684	1.1698
No log	4.0	32	1.3594	0.0106	1.3578	1.1653
No log	5.0	40	2.3450	0.0675	2.3431	1.5307
No log	6.0	48	0.9618	0.3012	0.9610	0.9803
No log	7.0	56	0.8484	0.2013	0.8479	0.9208
No log	8.0	64	0.7557	0.3304	0.7553	0.8691
No log	9.0	72	0.9637	0.3754	0.9629	0.9813
No log	10.0	80	1.2112	0.3241	1.2101	1.1000
No log	11.0	88	0.8806	0.3436	0.8797	0.9379
No log	12.0	96	0.9415	0.4119	0.9404	0.9698
No log	13.0	104	0.9765	0.4019	0.9757	0.9878
No log	14.0	112	0.8849	0.4297	0.8838	0.9401
No log	15.0	120	0.7625	0.4223	0.7617	0.8727
No log	16.0	128	0.9587	0.4414	0.9577	0.9786
No log	17.0	136	0.7540	0.4478	0.7531	0.8678
No log	18.0	144	1.1510	0.3417	1.1497	1.0722
No log	19.0	152	0.7716	0.3884	0.7706	0.8778
No log	20.0	160	0.8574	0.4030	0.8566	0.9255
No log	21.0	168	0.8851	0.4394	0.8844	0.9404
No log	22.0	176	1.0302	0.3948	1.0292	1.0145
No log	23.0	184	0.9361	0.4115	0.9351	0.9670
No log	24.0	192	1.0784	0.3708	1.0775	1.0380
No log	25.0	200	0.9649	0.3870	0.9642	0.9819
No log	26.0	208	0.8124	0.4159	0.8119	0.9010
No log	27.0	216	0.8938	0.3979	0.8931	0.9450

genki10/ASAP_FineTuningBERT_AugV7_k10_task1_organization_k10_k10_fold1

ASAP_FineTuningBERT_AugV7_k10_task1_organization_k10_k10_fold1