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	3.7265	0.0	3.7253	1.9301
No log	2.0	16	1.5339	0.0202	1.5333	1.2383
No log	3.0	24	1.2297	0.0983	1.2293	1.1087
No log	4.0	32	1.0370	0.2255	1.0370	1.0183
No log	5.0	40	0.9070	0.4248	0.9073	0.9525
No log	6.0	48	0.6404	0.5078	0.6406	0.8004
No log	7.0	56	0.6568	0.5495	0.6571	0.8106
No log	8.0	64	1.0992	0.3361	1.0995	1.0486
No log	9.0	72	0.9164	0.3871	0.9169	0.9576
No log	10.0	80	0.9537	0.3832	0.9540	0.9767
No log	11.0	88	1.0391	0.3713	1.0394	1.0195
No log	12.0	96	0.9677	0.3684	0.9681	0.9839
No log	13.0	104	1.0509	0.3347	1.0512	1.0253
No log	14.0	112	1.1056	0.3645	1.1060	1.0517
No log	15.0	120	0.7983	0.4844	0.7989	0.8938
No log	16.0	128	0.7774	0.4901	0.7779	0.8820
No log	17.0	136	1.1013	0.3497	1.1016	1.0496
No log	18.0	144	0.8507	0.4133	0.8510	0.9225
No log	19.0	152	0.7444	0.4790	0.7449	0.8631
No log	20.0	160	0.9570	0.3989	0.9576	0.9786
No log	21.0	168	0.8365	0.4453	0.8370	0.9149
No log	22.0	176	0.7590	0.4969	0.7594	0.8714
No log	23.0	184	0.8902	0.4226	0.8905	0.9437
No log	24.0	192	0.9636	0.4009	0.9640	0.9818
No log	25.0	200	0.9738	0.3877	0.9743	0.9871
No log	26.0	208	0.7216	0.4901	0.7220	0.8497
No log	27.0	216	0.7359	0.5292	0.7364	0.8582

genki10/Version2ASAP_FineTuningBERT_AugV6_k5_task1_organization_k5_k5_fold3

Version2ASAP_FineTuningBERT_AugV6_k5_task1_organization_k5_k5_fold3