Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
1.647	1.0	977	0.8265	0.4918	0.5741	0.5298	0.7793
0.7697	2.0	1954	0.6350	0.5801	0.6567	0.6160	0.8194
0.6089	3.0	2931	0.5591	0.6138	0.6857	0.6478	0.8352
0.534	4.0	3908	0.5163	0.6296	0.6955	0.6609	0.8439
0.4911	5.0	4885	0.4885	0.6436	0.7075	0.6740	0.8498
0.4545	6.0	5862	0.4683	0.6526	0.7165	0.6830	0.8557
0.4379	7.0	6839	0.4534	0.6600	0.7231	0.6901	0.8592
0.4124	8.0	7816	0.4441	0.6713	0.7274	0.6982	0.8625
0.403	9.0	8793	0.4345	0.6746	0.7359	0.7039	0.8658
0.394	10.0	9770	0.4324	0.6835	0.7445	0.7127	0.8667
0.3782	11.0	10747	0.4256	0.6820	0.7465	0.7128	0.8678
0.3706	12.0	11724	0.4213	0.6873	0.7460	0.7155	0.8691
0.3712	13.0	12701	0.4197	0.6873	0.7518	0.7181	0.8703
0.3626	14.0	13678	0.4163	0.6882	0.7523	0.7188	0.8713
0.351	15.0	14655	0.4142	0.6905	0.7528	0.7203	0.8717
0.3528	16.0	15632	0.4142	0.6932	0.7538	0.7222	0.8718
0.3523	17.0	16609	0.4123	0.6949	0.7533	0.7229	0.8722
0.3464	18.0	17586	0.4107	0.6936	0.7538	0.7224	0.8727
0.342	19.0	18563	0.4115	0.6954	0.7560	0.7244	0.8726
0.3496	20.0	19540	0.4109	0.6952	0.7549	0.7238	0.8724

tushifire/distilbert-finetuned-ner

distilbert-finetuned-ner