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
2.7438	1.0	10	1.8410	0.2970
1.4729	2.0	20	1.0655	0.5852
0.9161	3.0	30	0.7775	0.7075
0.6509	4.0	40	0.6808	0.7477
0.4923	5.0	50	0.6315	0.7603
0.3818	6.0	60	0.6120	0.7756
0.3096	7.0	70	0.6025	0.7742
0.2546	8.0	80	0.5992	0.7861
0.2089	9.0	90	0.6075	0.7883
0.178	10.0	100	0.6149	0.7877
0.159	11.0	110	0.6219	0.8012
0.139	12.0	120	0.6282	0.7997
0.1239	13.0	130	0.6222	0.7970
0.1115	14.0	140	0.6311	0.7915
0.1015	15.0	150	0.6336	0.7976
0.0958	16.0	160	0.6321	0.7955
0.0898	17.0	170	0.6352	0.7990
0.0874	18.0	180	0.6464	0.7981
0.0841	19.0	190	0.6380	0.7992
0.0819	20.0	200	0.6384	0.8007

phuoc2k9/ner-biomedical-maccrobat2018

ner-biomedical-maccrobat2018