Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.586	1.0	855	0.6272	0.6316	0.5289	0.5719	0.6316
0.6905	2.0	1710	0.5821	0.6520	0.5420	0.4804	0.6520
0.5642	3.0	2565	0.6012	0.6497	0.5396	0.4769	0.6497
0.6263	4.0	3420	0.6040	0.6526	0.5903	0.6403	0.6526
0.7556	5.0	4275	0.6088	0.6485	0.5406	0.4838	0.6485
0.4614	6.0	5130	0.6061	0.6614	0.6348	0.6523	0.6614
0.4232	7.0	5985	0.6184	0.6456	0.6401	0.6355	0.6456
0.519	8.0	6840	0.6186	0.6538	0.5449	0.4874	0.6538
0.4847	9.0	7695	0.6226	0.6421	0.5652	0.5948	0.6421
0.5505	10.0	8550	0.6857	0.6363	0.5903	0.6241	0.6363
0.5499	11.0	9405	0.6684	0.6491	0.6462	0.6470	0.6491
0.2869	12.0	10260	0.7500	0.6468	0.6341	0.6389	0.6468
0.2607	13.0	11115	0.9291	0.6351	0.6354	0.6357	0.6351
0.3495	14.0	11970	1.1298	0.6444	0.6415	0.6396	0.6444
0.2483	15.0	12825	1.3714	0.6246	0.6181	0.6320	0.6246
0.3764	16.0	13680	1.4325	0.6515	0.6454	0.6475	0.6515
0.373	17.0	14535	1.6233	0.6491	0.6473	0.6457	0.6491
0.0677	18.0	15390	1.7408	0.6450	0.6434	0.6429	0.6450
0.0665	19.0	16245	1.8868	0.6351	0.6296	0.6316	0.6351
0.0044	20.0	17100	1.9132	0.6351	0.6301	0.6315	0.6351

rfhuang/results

results