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	7	5.0752	0.0115	5.0752	2.2528
No log	2.0	14	2.2614	0.0937	2.2614	1.5038
No log	3.0	21	1.8149	0.0689	1.8149	1.3472
No log	4.0	28	0.9451	0.2501	0.9451	0.9722
No log	5.0	35	0.8478	0.2462	0.8478	0.9208
No log	6.0	42	0.8283	0.2475	0.8283	0.9101
No log	7.0	49	1.4324	0.1632	1.4324	1.1968
No log	8.0	56	2.1691	0.1078	2.1691	1.4728
No log	9.0	63	2.0876	0.1321	2.0876	1.4449
No log	10.0	70	1.9063	0.1263	1.9063	1.3807
No log	11.0	77	1.7134	0.1157	1.7134	1.3090
No log	12.0	84	1.1603	0.1817	1.1603	1.0772
No log	13.0	91	1.5101	0.1359	1.5101	1.2289
No log	14.0	98	2.0815	0.1040	2.0815	1.4427
No log	15.0	105	2.2012	0.0644	2.2012	1.4836
No log	16.0	112	1.2219	0.2022	1.2219	1.1054
No log	17.0	119	1.1083	0.1828	1.1083	1.0528
No log	18.0	126	1.5078	0.0933	1.5078	1.2279
No log	19.0	133	1.7615	0.1076	1.7615	1.3272

genki10/Trial3BERT_AugV8_k10_task1_organization_sp020_lw030_fold0

Trial3BERT_AugV8_k10_task1_organization_sp020_lw030_fold0