Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
1.0614	1.7	500	0.6385	0.2880	0.1057	0.1546	0.8234
0.5512	3.4	1000	0.3567	0.7105	0.7542	0.7317	0.9197
0.3472	5.1	1500	0.2644	0.7602	0.8254	0.7914	0.9342
0.2659	6.8	2000	0.2466	0.7945	0.8492	0.8209	0.9389
0.2169	8.5	2500	0.2240	0.8252	0.8621	0.8432	0.9453
0.1797	10.2	3000	0.2113	0.8345	0.8714	0.8525	0.9487
0.1609	11.9	3500	0.2178	0.8213	0.8815	0.8503	0.9487
0.1371	13.61	4000	0.2126	0.8406	0.8811	0.8603	0.9509
0.1237	15.31	4500	0.2127	0.8422	0.8775	0.8595	0.9510
0.1101	17.01	5000	0.2065	0.8520	0.8855	0.8684	0.9538
0.0988	18.71	5500	0.2113	0.8457	0.8895	0.8671	0.9534
0.0904	20.41	6000	0.2280	0.8390	0.8895	0.8635	0.9523
0.0831	22.11	6500	0.2268	0.8430	0.8948	0.8681	0.9532
0.0758	23.81	7000	0.2472	0.8396	0.8864	0.8624	0.9502
0.0713	25.51	7500	0.2377	0.8402	0.8877	0.8633	0.9511
0.066	27.21	8000	0.2533	0.8346	0.8855	0.8593	0.9495
0.0591	28.91	8500	0.2449	0.8494	0.8926	0.8704	0.9527
0.0601	30.61	9000	0.2503	0.8421	0.8890	0.8649	0.9527
0.0528	32.31	9500	0.2605	0.8474	0.8935	0.8698	0.9514
0.051	34.01	10000	0.2677	0.8389	0.8886	0.8630	0.9511
0.0462	35.71	10500	0.2628	0.8391	0.8921	0.8648	0.9513
0.0438	37.41	11000	0.2629	0.8457	0.8939	0.8691	0.9526
0.0423	39.12	11500	0.2673	0.8406	0.8930	0.8660	0.9502
0.0395	40.82	12000	0.2700	0.8423	0.8904	0.8657	0.9518
0.0386	42.52	12500	0.2716	0.8486	0.8943	0.8709	0.9528
0.0384	44.22	13000	0.2727	0.8465	0.8921	0.8687	0.9523
0.0352	45.92	13500	0.2741	0.8494	0.8926	0.8704	0.9526
0.0351	47.62	14000	0.2776	0.8469	0.8926	0.8691	0.9520
0.0327	49.32	14500	0.2799	0.8446	0.8912	0.8673	0.9518

stulcrad/CNEC_1_1_Supertypes_robeczech-base

CNEC_1_1_Supertypes_robeczech-base