learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
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

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	20	0.7266	0.5969	0.5833	0.5900	0.7394
No log	2.0	40	0.5312	0.7222	0.6894	0.7054	0.8102
No log	3.0	60	0.4282	0.7717	0.7424	0.7568	0.8612
No log	4.0	80	0.3508	0.8047	0.7803	0.7923	0.8867
No log	5.0	100	0.2955	0.8372	0.8182	0.8276	0.9065
No log	6.0	120	0.2540	0.8550	0.8485	0.8517	0.9150
No log	7.0	140	0.2299	0.8788	0.8788	0.8788	0.9348
No log	8.0	160	0.2168	0.8797	0.8864	0.8830	0.9433
No log	9.0	180	0.2064	0.8939	0.8939	0.8939	0.9462
No log	10.0	200	0.2023	0.8939	0.8939	0.8939	0.9462

dylanklark/bert-finetuned-ner

bert-finetuned-ner