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	6.0556	0.0048	6.0559	2.4609
No log	2.0	14	2.3303	0.1569	2.3308	1.5267
No log	3.0	21	1.2303	0.0213	1.2308	1.1094
No log	4.0	28	1.0232	0.0107	1.0236	1.0117
No log	5.0	35	0.7493	0.3583	0.7495	0.8657
No log	6.0	42	0.6931	0.4242	0.6931	0.8325
No log	7.0	49	0.6037	0.3581	0.6036	0.7769
No log	8.0	56	0.5117	0.4845	0.5115	0.7152
No log	9.0	63	0.6951	0.3950	0.6949	0.8336
No log	10.0	70	0.6219	0.3943	0.6218	0.7885
No log	11.0	77	0.8047	0.3040	0.8047	0.8970
No log	12.0	84	0.8835	0.1689	0.8837	0.9401
No log	13.0	91	0.8125	0.2828	0.8125	0.9014
No log	14.0	98	1.0456	0.1884	1.0454	1.0224
No log	15.0	105	0.8646	0.1877	0.8645	0.9298
No log	16.0	112	0.7107	0.3482	0.7106	0.8430
No log	17.0	119	0.7378	0.3488	0.7377	0.8589
No log	18.0	126	0.7268	0.3754	0.7267	0.8525
No log	19.0	133	1.1854	0.0475	1.1856	1.0888
No log	20.0	140	1.0339	0.1230	1.0340	1.0168
No log	21.0	147	1.0370	0.1892	1.0369	1.0183
No log	22.0	154	1.1889	0.0943	1.1886	1.0902
No log	23.0	161	1.2932	0.0776	1.2928	1.1370

genki10/Trial3BERT_AugV8_k10_task1_organization_sp010_lw030_fold2

Trial3BERT_AugV8_k10_task1_organization_sp010_lw030_fold2