Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.2924	1.0	2500	0.2449	0.7686	0.8088	0.7882	0.9320
0.2042	2.0	5000	0.2137	0.8050	0.8398	0.8220	0.9400
0.1699	3.0	7500	0.1912	0.8236	0.8593	0.8411	0.9466
0.1419	4.0	10000	0.1931	0.8349	0.8671	0.8507	0.9488
0.1316	5.0	12500	0.1892	0.8470	0.8776	0.8620	0.9519
0.1042	6.0	15000	0.2058	0.8433	0.8811	0.8618	0.9508
0.0884	7.0	17500	0.2020	0.8602	0.8849	0.8724	0.9531
0.0902	8.0	20000	0.2118	0.8551	0.8837	0.8692	0.9528
0.0669	9.0	22500	0.2171	0.8634	0.8906	0.8768	0.9550
0.0529	10.0	25000	0.2228	0.8638	0.8912	0.8773	0.9545
0.0613	11.0	27500	0.2293	0.8626	0.8898	0.8760	0.9544
0.0549	12.0	30000	0.2276	0.8694	0.8958	0.8824	0.9554
0.0516	13.0	32500	0.2384	0.8717	0.8940	0.8827	0.9552
0.0412	14.0	35000	0.2443	0.8701	0.8931	0.8815	0.9554
0.0345	15.0	37500	0.2464	0.8723	0.8958	0.8839	0.9557
0.0412	16.0	40000	0.2477	0.8705	0.8948	0.8825	0.9552
0.0363	17.0	42500	0.2525	0.8742	0.8973	0.8856	0.9559
0.0341	18.0	45000	0.2529	0.8727	0.8962	0.8843	0.9561
0.0194	19.0	47500	0.2533	0.8699	0.8966	0.8830	0.9557
0.0247	20.0	50000	0.2547	0.8713	0.8970	0.8840	0.9557

richielo/small-e-czech-finetuned-ner-wikiann

small-e-czech-finetuned-ner-wikiann