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: 150

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	5	6.0746	-0.0063	6.0746	2.4647
No log	2.0	10	4.0829	0.0118	4.0829	2.0206
No log	3.0	15	2.4383	0.0294	2.4383	1.5615
No log	4.0	20	1.3489	0.0420	1.3489	1.1614
No log	5.0	25	1.0110	0.0420	1.0110	1.0055
No log	6.0	30	0.8153	0.2759	0.8153	0.9029
No log	7.0	35	0.7078	0.4945	0.7078	0.8413
No log	8.0	40	0.7199	0.4762	0.7199	0.8485
No log	9.0	45	0.6373	0.4779	0.6373	0.7983
No log	10.0	50	0.5586	0.4753	0.5586	0.7474
No log	11.0	55	0.5789	0.5647	0.5789	0.7609
No log	12.0	60	0.5826	0.5220	0.5826	0.7633
No log	13.0	65	0.6876	0.4979	0.6876	0.8292
No log	14.0	70	0.6645	0.5457	0.6645	0.8151
No log	15.0	75	1.1838	0.3535	1.1838	1.0880
No log	16.0	80	0.5714	0.5686	0.5714	0.7559
No log	17.0	85	0.6214	0.5506	0.6214	0.7883
No log	18.0	90	0.9105	0.4057	0.9105	0.9542
No log	19.0	95	0.6581	0.4800	0.6581	0.8112
No log	20.0	100	0.6738	0.5172	0.6738	0.8208
No log	21.0	105	0.7053	0.5065	0.7053	0.8398
No log	22.0	110	0.5968	0.5261	0.5968	0.7725
No log	23.0	115	0.5849	0.5375	0.5849	0.7648
No log	24.0	120	0.6118	0.5519	0.6118	0.7822
No log	25.0	125	0.8012	0.4247	0.8012	0.8951
No log	26.0	130	0.7950	0.4290	0.7950	0.8916
No log	27.0	135	0.6632	0.5248	0.6632	0.8144
No log	28.0	140	0.6723	0.5153	0.6723	0.8199
No log	29.0	145	0.6510	0.5236	0.6510	0.8068
No log	30.0	150	0.6071	0.5223	0.6071	0.7792
No log	31.0	155	0.6512	0.5380	0.6512	0.8069

genki10/BERT_AugV8_k7_task1_organization_sp010_lw040_fold4

BERT_AugV8_k7_task1_organization_sp010_lw040_fold4