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: 15

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
1.7448	1.2422	200	0.5205	0.7188	0.7907
1.7737	2.4845	400	0.3096	0.9020	0.9067
1.3408	3.7267	600	0.3578	0.8771	0.8938
1.7858	4.9689	800	0.3340	0.8927	0.9039
1.1154	6.2112	1000	0.2603	0.9155	0.9179
1.2382	7.4534	1200	0.4342	0.8434	0.8738
1.1267	8.6957	1400	0.3936	0.8697	0.8904
1.0833	9.9379	1600	0.3876	0.8677	0.8892
1.1027	11.1801	1800	0.4320	0.8757	0.8948
0.8329	12.4224	2000	0.3797	0.8832	0.8995
1.1287	13.6646	2200	0.4414	0.8677	0.8900
1.1326	14.9068	2400	0.4273	0.8794	0.8974

nompahm/PhoBert_Lexical_Hosting_Dataset10K

PhoBert_Lexical_Hosting_Dataset10K