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	5	7.3758	0.0	7.3735	2.7154
No log	2.0	10	4.0805	0.0040	4.0784	2.0195
No log	3.0	15	2.2171	0.1039	2.2154	1.4884
No log	4.0	20	1.4921	0.0	1.4905	1.2209
No log	5.0	25	1.8051	0.1663	1.8035	1.3429
No log	6.0	30	1.0830	0.0521	1.0816	1.0400
No log	7.0	35	1.0551	0.0707	1.0538	1.0266
No log	8.0	40	0.9794	0.1749	0.9782	0.9891
No log	9.0	45	0.7594	0.3494	0.7583	0.8708
No log	10.0	50	0.5776	0.5371	0.5766	0.7593
No log	11.0	55	0.6357	0.4156	0.6348	0.7967
No log	12.0	60	0.6028	0.4699	0.6019	0.7758
No log	13.0	65	0.4902	0.5814	0.4895	0.6996
No log	14.0	70	0.7087	0.4547	0.7080	0.8414
No log	15.0	75	0.7604	0.4278	0.7597	0.8716
No log	16.0	80	0.6214	0.5569	0.6207	0.7878
No log	17.0	85	0.6313	0.5686	0.6307	0.7942
No log	18.0	90	0.7818	0.4879	0.7812	0.8838
No log	19.0	95	0.8772	0.4563	0.8765	0.9362
No log	20.0	100	0.7059	0.5217	0.7052	0.8398
No log	21.0	105	0.7269	0.5271	0.7262	0.8522
No log	22.0	110	0.8724	0.5060	0.8718	0.9337
No log	23.0	115	0.8215	0.5021	0.8208	0.9060
No log	24.0	120	0.7911	0.4736	0.7902	0.8889
No log	25.0	125	0.8165	0.4773	0.8157	0.9031
No log	26.0	130	0.7844	0.5408	0.7838	0.8853
No log	27.0	135	0.6516	0.5576	0.6509	0.8068
No log	28.0	140	1.0625	0.3983	1.0617	1.0304
No log	29.0	145	0.6692	0.5524	0.6685	0.8176
No log	30.0	150	1.0068	0.4483	1.0061	1.0031
No log	31.0	155	0.8323	0.4496	0.8314	0.9118
No log	32.0	160	0.6688	0.5624	0.6680	0.8173
No log	33.0	165	1.1737	0.3862	1.1730	1.0830

genki10/ASAP_nosemanticV2_FineTuningBERT_AugV12_k5_task1_organization_k5_k5_fold1

ASAP_nosemanticV2_FineTuningBERT_AugV12_k5_task1_organization_k5_k5_fold1