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	7.1602	0.0	7.1602	2.6759
No log	2.0	10	4.9574	0.0115	4.9574	2.2265
No log	3.0	15	2.9113	0.0	2.9113	1.7062
No log	4.0	20	1.5239	0.0316	1.5239	1.2345
No log	5.0	25	0.9541	0.0316	0.9541	0.9768
No log	6.0	30	0.9262	0.0094	0.9262	0.9624
No log	7.0	35	1.1022	0.0780	1.1022	1.0499
No log	8.0	40	0.8854	0.2979	0.8854	0.9410
No log	9.0	45	0.6367	0.4458	0.6367	0.7979
No log	10.0	50	0.6378	0.3743	0.6378	0.7986
No log	11.0	55	0.6128	0.4234	0.6128	0.7828
No log	12.0	60	0.7376	0.4405	0.7376	0.8588
No log	13.0	65	0.6135	0.4958	0.6135	0.7833
No log	14.0	70	0.6913	0.4904	0.6913	0.8315
No log	15.0	75	0.8639	0.3772	0.8639	0.9295
No log	16.0	80	0.8003	0.3945	0.8003	0.8946
No log	17.0	85	0.7936	0.3820	0.7936	0.8909
No log	18.0	90	0.7526	0.4095	0.7526	0.8675
No log	19.0	95	0.7743	0.4299	0.7743	0.8799
No log	20.0	100	0.7297	0.4314	0.7297	0.8542
No log	21.0	105	0.7121	0.4597	0.7121	0.8439
No log	22.0	110	0.8445	0.3656	0.8445	0.9190
No log	23.0	115	0.7832	0.3897	0.7832	0.8850
No log	24.0	120	0.6987	0.4652	0.6987	0.8359
No log	25.0	125	0.7135	0.4135	0.7135	0.8447
No log	26.0	130	0.7161	0.4091	0.7161	0.8462
No log	27.0	135	0.7861	0.4198	0.7861	0.8866
No log	28.0	140	0.8128	0.4088	0.8128	0.9016

genki10/BERT_AugV8_k7_task1_organization_sp010_lw040_fold0

BERT_AugV8_k7_task1_organization_sp010_lw040_fold0