ViT-Face-Recognition/saved_results/Models/Inception_V3/training_log.csv

1	epoch	accuracy	loss	top-10-accuracy	top-100-accuracy	top-5-accuracy	val_accuracy	val_loss	val_top-10-accuracy	val_top-100-accuracy	val_top-5-accuracy
2	0	0.5044412612915039	2.828429698944092	0.7204577326774597	0.8692970275878906	0.6647382378578186	0.7837027311325073	1.0061465501785278	0.936477541923523	0.9873324036598206	0.9071956872940063
3	1	0.8421162366867065	0.7245597839355469	0.9566552639007568	0.9910308718681335	0.9360066652297974	0.8924019932746887	0.4839460253715515	0.9766190648078918	0.9957222938537598	0.963849663734436
4	2	0.9061304330825806	0.4162036180496216	0.978788435459137	0.9959475994110107	0.9674435257911682	0.933899462223053	0.2888556718826294	0.9882490634918213	0.9979566335678101	0.9808204174041748
5	3	0.9348474144935608	0.2803215980529785	0.9875955581665039	0.9978038668632507	0.9802804589271545	0.9474136233329773	0.21838736534118652	0.9925395250320435	0.9988923668861389	0.9875679612159729
6	4	0.9516826272010803	0.20140601694583893	0.99233478307724	0.9988057613372803	0.9873526096343994	0.9636204838752747	0.1476803421974182	0.995849609375	0.9994462132453918	0.992743194103241
7	5	0.962658703327179	0.15122036635875702	0.9951260685920715	0.9993436336517334	0.9915807843208313	0.970030665397644	0.11526346951723099	0.9973773956298828	0.9997262954711914	0.9952257871627808
8	6	0.9698299169540405	0.11761530488729477	0.996909499168396	0.999656617641449	0.9943767189979553	0.9773320555686951	0.08726964145898819	0.9984531402587891	0.9998408555984497	0.996893584728241
9	7	0.9752572774887085	0.09351618587970734	0.9980387091636658	0.999820351600647	0.9961870312690735	0.9809413552284241	0.07012616842985153	0.9992042779922485	0.9999681711196899	0.9982494711875916
10	8	0.9792612195014954	0.0765235498547554	0.9987742900848389	0.9999083876609802	0.9973798394203186	0.9840795993804932	0.05660514906048775	0.9994398355484009	0.9999681711196899	0.9986759424209595
11	9	0.9820313453674316	0.06444480270147324	0.99919193983078	0.9999600648880005	0.9981245994567871	0.985015332698822	0.05419314652681351	0.9996180534362793	0.999993622303009	0.9989942312240601
12	10	0.9844216108322144	0.054814841598272324	0.9994914531707764	0.99997878074646	0.998673141002655	0.9872050881385803	0.04437025636434555	0.9998026490211487	1.0	0.9993698000907898
13	11	0.9862917065620422	0.04778851196169853	0.9996541142463684	0.9999901056289673	0.9990150928497314	0.9895476698875427	0.03730124607682228	0.9998854398727417	1.0	0.9995225667953491
14	12	0.9875460863113403	0.042636893689632416	0.9997605681419373	0.9999961256980896	0.999241054058075	0.9906170964241028	0.032722555100917816	0.9999363422393799	1.0	0.9996690154075623
15	13	0.9887682795524597	0.038302622735500336	0.9998284578323364	0.9999978542327881	0.9994253516197205	0.9895667433738708	0.03481917828321457	0.9999172687530518	0.999993622303009	0.9996435046195984
16	14	0.9897658824920654	0.03466902673244476	0.9998719692230225	0.9999985694885254	0.9995275139808655	0.9924694895744324	0.02594899572432041	0.999961793422699	1.0	0.9997517466545105
17	15	0.9904996752738953	0.03201822564005852	0.9998924732208252	0.9999996423721313	0.9996092319488525	0.990744411945343	0.030490176752209663	0.9999299645423889	1.0	0.9996880888938904
18	16	0.991253674030304	0.029298337176442146	0.9999310374259949	0.9999996423721313	0.9996870160102844	0.9921830296516418	0.02582458406686783	0.9999745488166809	1.0	0.9997581243515015
19	17	0.991923451423645	0.02704434096813202	0.9999434351921082	1.0	0.9997220635414124	0.9935643672943115	0.02145766094326973	0.9999363422393799	1.0	0.9998090267181396
20	18	0.9924065470695496	0.02545708231627941	0.999944806098938	0.9999996423721313	0.9997464418411255	0.9940418004989624	0.01996505819261074	0.999961793422699	1.0	0.9998408555984497
21	19	0.9929522275924683	0.02354452945291996	0.9999568462371826	1.0	0.9997846484184265	0.9938316941261292	0.020735710859298706	0.9999490976333618	1.0	0.9997962713241577
22	20	0.9932354688644409	0.02255505509674549	0.9999586343765259	1.0	0.9998037219047546	0.9954167604446411	0.015650002285838127	0.9999809265136719	1.0	0.9999172687530518
23	21	0.9937002062797546	0.02080986276268959	0.9999681711196899	1.0	0.9998359084129333	0.9952639937400818	0.015985960140824318	0.9999809265136719	1.0	0.9999490976333618
24	22	0.9940460324287415	0.019749460741877556	0.999971330165863	1.0	0.9998387098312378	0.995353102684021	0.01564055308699608	0.9999681711196899	1.0	0.9999299645423889
25	23	0.9942670464515686	0.018744397908449173	0.999977707862854	1.0	0.9998733997344971	0.9952448606491089	0.01479360368102789	1.0	1.0	0.9999299645423889
26	24	0.9946118593215942	0.017900148406624794	0.9999762773513794	1.0	0.9998723268508911	0.9954358339309692	0.014946679584681988	0.999993622303009	1.0	0.9999363422393799