learning_rate: 0.0001
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: 20

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.6575	1.0	10	1.7587	0.2575
1.4576	2.0	20	1.1109	0.5523
0.9363	3.0	30	0.8227	0.6823
0.6519	4.0	40	0.7157	0.7200
0.4871	5.0	50	0.6950	0.7298
0.3808	6.0	60	0.6697	0.7455
0.3106	7.0	70	0.6761	0.7481
0.2558	8.0	80	0.6697	0.7568
0.2151	9.0	90	0.6689	0.7546
0.1856	10.0	100	0.6743	0.7587
0.1617	11.0	110	0.7075	0.7569
0.1426	12.0	120	0.7087	0.7561
0.1282	13.0	130	0.6996	0.7624
0.1163	14.0	140	0.7200	0.7646
0.1068	15.0	150	0.7044	0.7673
0.0968	16.0	160	0.7150	0.7641
0.0934	17.0	170	0.7239	0.7673
0.0871	18.0	180	0.7264	0.7652
0.085	19.0	190	0.7269	0.7655
0.083	20.0	200	0.7250	0.7665

htkien95/ner-biomedical-maccrobat2018

ner-biomedical-maccrobat2018