learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.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
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0511	1.0	123	0.0168	0.8352	0.9028	0.8677	0.9964
0.0122	2.0	246	0.0080	0.9120	0.9514	0.9313	0.9980
0.0046	3.0	369	0.0046	0.9935	0.9870	0.9902	0.9994
0.0045	4.0	492	0.0041	0.9956	0.9860	0.9908	0.9995
0.0024	5.0	615	0.0037	0.9978	0.9870	0.9924	0.9996
0.0022	6.0	738	0.0026	0.9935	0.9914	0.9924	0.9997
0.0024	7.0	861	0.0031	0.9808	0.9914	0.9860	0.9994
0.002	8.0	984	0.0027	0.9861	0.9924	0.9892	0.9995
0.0015	9.0	1107	0.0026	0.9903	0.9924	0.9914	0.9996

thuhong523/phobert-cv-ner

phobert-cv-ner