learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
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: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
180.976	1.0	375	57.9712	0.7193	0.7209
133.4342	2.0	750	37.8076	0.7687	0.7601
116.5054	3.0	1125	51.6311	0.7217	0.6478
95.9101	4.0	1500	48.4899	0.7807	0.7614
87.7341	5.0	1875	65.2039	0.776	0.7430
65.1205	6.0	2250	32.0577	0.7807	0.7684
65.3722	7.0	2625	29.2039	0.7843	0.7727
57.9214	8.0	3000	31.7169	0.7887	0.7705
54.8763	9.0	3375	22.4626	0.7927	0.7793
47.182	10.0	3750	29.2115	0.7943	0.7730

phunganhsang/PhoBert_Lexical_NCKH_15k

PhoBert_Lexical_NCKH_15k