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	7.1312	0.0049	7.1290	2.6700
No log	2.0	10	3.7080	0.0038	3.7069	1.9253
No log	3.0	15	1.8712	0.0452	1.8703	1.3676
No log	4.0	20	1.2311	0.0202	1.2304	1.1092
No log	5.0	25	1.4131	0.0422	1.4128	1.1886
No log	6.0	30	1.0314	0.0077	1.0312	1.0155
No log	7.0	35	0.8982	0.2937	0.8986	0.9480
No log	8.0	40	0.8762	0.3886	0.8769	0.9365
No log	9.0	45	0.7934	0.4104	0.7937	0.8909
No log	10.0	50	0.9370	0.3564	0.9377	0.9683
No log	11.0	55	1.4675	0.1828	1.4680	1.2116
No log	12.0	60	1.3475	0.1976	1.3479	1.1610
No log	13.0	65	0.9333	0.3484	0.9338	0.9663
No log	14.0	70	0.8268	0.3805	0.8272	0.9095
No log	15.0	75	0.9569	0.3319	0.9573	0.9784
No log	16.0	80	0.9809	0.3309	0.9814	0.9907
No log	17.0	85	1.2227	0.2093	1.2232	1.1060
No log	18.0	90	1.4048	0.1557	1.4052	1.1854
No log	19.0	95	1.6195	0.1637	1.6201	1.2728
No log	20.0	100	0.8360	0.3717	0.8367	0.9147
No log	21.0	105	1.0625	0.3008	1.0632	1.0311
No log	22.0	110	1.6811	0.1737	1.6818	1.2968
No log	23.0	115	1.8542	0.1643	1.8548	1.3619
No log	24.0	120	1.4864	0.1778	1.4868	1.2193

genki10/Trial3BERT_AugV8_k7_task1_organization_sp020_lw010_fold3

Trial3BERT_AugV8_k7_task1_organization_sp020_lw010_fold3