Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
1.331	1.0	49	1.0308	0.6698	0.6131	0.6094	0.6698
0.8659	2.0	98	0.6391	0.7992	0.7929	0.7932	0.7992
0.5051	3.0	147	0.5164	0.8446	0.8389	0.8410	0.8446
0.4183	4.0	196	0.3752	0.8840	0.8827	0.8824	0.8840
0.4014	5.0	245	0.3487	0.8946	0.8926	0.8921	0.8946
0.2955	6.0	294	0.3009	0.9040	0.9049	0.9068	0.9040
0.2525	7.0	343	0.2478	0.9303	0.9303	0.9304	0.9303
0.2381	8.0	392	0.2498	0.9240	0.9243	0.9248	0.9240
0.2255	9.0	441	0.2214	0.9321	0.9318	0.9323	0.9321
0.1463	10.0	490	0.2258	0.9397	0.9396	0.9396	0.9397
0.151	11.0	539	0.2271	0.9421	0.9421	0.9422	0.9421
0.1213	12.0	588	0.2146	0.9500	0.9498	0.9499	0.9500
0.1166	13.0	637	0.2162	0.9494	0.9493	0.9496	0.9494
0.121	14.0	686	0.2442	0.9421	0.9424	0.9428	0.9421
0.0841	15.0	735	0.2206	0.9558	0.9558	0.9560	0.9558
0.0485	16.0	784	0.2555	0.9452	0.9452	0.9454	0.9452
0.0598	17.0	833	0.2338	0.9558	0.9558	0.9559	0.9558
0.0462	18.0	882	0.2443	0.9549	0.9549	0.9550	0.9549
0.0323	19.0	931	0.2531	0.9540	0.9540	0.9542	0.9540
0.0466	20.0	980	0.2509	0.9549	0.9549	0.9550	0.9549

adamfendri/robertaL_ner

robertaL_ner