learning_rate: 2e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
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	Precision	Recall	F1	Accuracy
No log	0.9991	275	0.1429	0.7212	0.7318	0.7265	0.9613
0.21	1.9982	550	0.1111	0.7211	0.8267	0.7703	0.9654
0.21	2.9973	825	0.0979	0.8168	0.8168	0.8168	0.9725
0.0651	4.0	1101	0.1088	0.7574	0.9011	0.8230	0.9678
0.0651	4.9991	1376	0.1033	0.825	0.8904	0.8565	0.9744
0.0305	5.9982	1651	0.1132	0.8908	0.8536	0.8718	0.9785
0.0305	6.9973	1926	0.1127	0.8591	0.8823	0.8705	0.9786
0.0153	8.0	2202	0.1155	0.8687	0.8814	0.8750	0.9795
0.0153	8.9991	2477	0.1280	0.8860	0.8774	0.8817	0.9804
0.0089	9.9909	2750	0.1330	0.868	0.8872	0.8775	0.9793

GuiTap/bert-large-cased-finetuned-ner-geocorpus

bert-large-cased-finetuned-ner-geocorpus