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	5.9116	0.0103	5.9116	2.4314
No log	2.0	16	2.7171	0.0	2.7171	1.6484
No log	3.0	24	1.4304	0.0212	1.4304	1.1960
No log	4.0	32	1.3402	0.0484	1.3402	1.1577
No log	5.0	40	1.2385	0.0638	1.2385	1.1129
No log	6.0	48	1.0916	0.1393	1.0916	1.0448
No log	7.0	56	1.2418	0.1146	1.2418	1.1144
No log	8.0	64	0.6988	0.4800	0.6988	0.8359
No log	9.0	72	0.6791	0.4510	0.6791	0.8241
No log	10.0	80	0.7055	0.3882	0.7055	0.8399
No log	11.0	88	0.7232	0.4606	0.7232	0.8504
No log	12.0	96	0.8887	0.4052	0.8887	0.9427
No log	13.0	104	0.7613	0.4490	0.7613	0.8725
No log	14.0	112	0.9957	0.3867	0.9957	0.9978
No log	15.0	120	0.9451	0.3917	0.9451	0.9721
No log	16.0	128	0.8012	0.4698	0.8012	0.8951
No log	17.0	136	0.7987	0.4621	0.7987	0.8937
No log	18.0	144	0.7890	0.4612	0.7890	0.8882
No log	19.0	152	0.7383	0.4466	0.7383	0.8592
No log	20.0	160	0.7987	0.4278	0.7987	0.8937
No log	21.0	168	0.8991	0.3995	0.8991	0.9482
No log	22.0	176	0.7462	0.4481	0.7462	0.8639
No log	23.0	184	0.7695	0.4473	0.7695	0.8772
No log	24.0	192	0.7547	0.4620	0.7547	0.8688
No log	25.0	200	0.7499	0.4721	0.7499	0.8659
No log	26.0	208	0.7220	0.4737	0.7220	0.8497
No log	27.0	216	0.7800	0.4335	0.7800	0.8832
No log	28.0	224	0.7936	0.4609	0.7936	0.8908

genki10/Version2ASAP_FineTuningBERT_AugV5_k5_task1_organization_k5_k5_fold0

Version2ASAP_FineTuningBERT_AugV5_k5_task1_organization_k5_k5_fold0