Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	104	0.2281	0.6589	0.7001	0.6789	0.9350
No log	2.0	208	0.1833	0.7105	0.7694	0.7388	0.9470
No log	3.0	312	0.1573	0.7461	0.7778	0.7616	0.9525
No log	4.0	416	0.1489	0.7665	0.8091	0.7872	0.9557
0.1898	5.0	520	0.1445	0.7881	0.8327	0.8098	0.9587
0.1898	6.0	624	0.1473	0.7913	0.8316	0.8109	0.9601
0.1898	7.0	728	0.1558	0.8101	0.8347	0.8222	0.9620
0.1898	8.0	832	0.1616	0.8026	0.8302	0.8162	0.9612
0.1898	9.0	936	0.1716	0.8127	0.8409	0.8266	0.9631
0.0393	10.0	1040	0.1751	0.8140	0.8369	0.8253	0.9628
0.0393	11.0	1144	0.1775	0.8096	0.8420	0.8255	0.9626
0.0393	12.0	1248	0.1763	0.8161	0.8386	0.8272	0.9636
0.0393	13.0	1352	0.1949	0.8259	0.8400	0.8329	0.9634
0.0393	14.0	1456	0.1842	0.8205	0.8420	0.8311	0.9642
0.0111	15.0	1560	0.1862	0.8160	0.8493	0.8323	0.9646
0.0111	16.0	1664	0.1989	0.8176	0.8367	0.8270	0.9627
0.0111	17.0	1768	0.1945	0.8246	0.8409	0.8327	0.9638
0.0111	18.0	1872	0.1997	0.8270	0.8426	0.8347	0.9634
0.0111	19.0	1976	0.1917	0.8258	0.8491	0.8373	0.9651
0.0051	20.0	2080	0.1955	0.8229	0.8465	0.8345	0.9645

Aleksandar/bert-srb-ner-setimes

bert-srb-ner-setimes