klue-sroberta-base-continue-learning-by-mnr/eval/similarity_evaluation_sts-dev_results.csv

1	epoch	steps	cosine_pearson	cosine_spearman	euclidean_pearson	euclidean_spearman	manhattan_pearson	manhattan_spearman	dot_pearson	dot_spearman
2	0	32	0.9364174362360864	0.9094216546694657	0.92582788694544	0.9017441643624815	0.9254401438588308	0.901526619591415	0.9195836305019299	0.8955015298062975
3	0	64	0.9387752275339513	0.9007437600357805	0.9225384658462545	0.8939835328003457	0.9224253234587552	0.8938864660272327	0.9312168927716451	0.8944727091686603
4	0	96	0.9468690622759517	0.9052071491166803	0.9315989701714651	0.8982278196123462	0.9312254058599362	0.8975479505188085	0.9408992391966308	0.8995410650319291
5	0	128	0.9513973438569597	0.9104143353257175	0.9390391178916682	0.903455540814021	0.9386622769013641	0.9027070675096522	0.9456786886784108	0.9037294612393371
6	0	160	0.9539637583127887	0.9114323825634303	0.9441187648063655	0.9069916361798683	0.9437786368251059	0.9058798379458675	0.9503494076269636	0.9054814833363348
7	0	192	0.9539124421909819	0.911112897783568	0.9421967634011064	0.9056968302261439	0.9419330172603467	0.9051007534608151	0.9493618507616046	0.9041584421873551
8	0	224	0.9551687995499981	0.9112834950543767	0.9438365083172408	0.9058067242890087	0.9434752751503982	0.9051846556830871	0.9496683457982172	0.9041114340546021
9	0	256	0.9554804203829234	0.9128381398473069	0.9485515866450848	0.9098893455661841	0.9483374653467044	0.9096530126998181	0.9507678704498552	0.9029032435696672
10	0	288	0.9562482086511792	0.9100148438780354	0.9448471974002534	0.9054040497059701	0.9446359378799348	0.9052784862655212	0.9492478983062795	0.8995691031757613
11	0	320	0.9561487187902168	0.9096581597799543	0.945520667765122	0.9057972506628995	0.9454266663505844	0.9056164597716856	0.950265539798975	0.9004332001920656
12	0	-1	0.9571052120202281	0.9111794329549592	0.9461612080839833	0.906620440561665	0.9459869566928014	0.9065482515307142	0.9513097386083957	0.9018320455077192
13	1	32	0.9589284376986155	0.9155851465996718	0.9483045904404686	0.9108832918913888	0.9480921463786799	0.910821728479482	0.9531169742770288	0.906775887608312
14	1	64	0.9570876996908693	0.9122643223095513	0.9469297025827347	0.9077753172683088	0.946887598589024	0.9078164669106759	0.9526850308960527	0.9035609405886594
15	1	96	0.9595173522480765	0.9185526235805104	0.949525873118562	0.9136694625933475	0.9493670154270055	0.9134103248142119	0.9541430512629039	0.910460139118153
16	1	128	0.9594034804425732	0.9177448302127982	0.9510410538205278	0.9140668054196116	0.9510066453124948	0.9139974774237459	0.9543353984825856	0.9093598532345999
17	1	160	0.9584134650306313	0.9172432054959888	0.9461025929414694	0.9105820950017797	0.9461444449624696	0.9103345148701154	0.9516067076326292	0.9082593020895156
18	1	192	0.9593122412588952	0.9177322113427256	0.9490222867938638	0.9126346356767571	0.9488741413840257	0.9123628373436895	0.9523702097361784	0.9074511942035157
19	1	224	0.9587664740779075	0.918486641668888	0.9488150974469091	0.9126174277822926	0.9487367568966477	0.9125062642535294	0.9522711523458558	0.9075626798355667
20	1	256	0.9604776700687462	0.9199549021488536	0.9507702520105745	0.9145412067206465	0.950627800866083	0.9143870291398981	0.9523122158141124	0.9075605425855164
21	1	288	0.9599948071138408	0.9167965164426752	0.949718666634352	0.9114113669685069	0.949585599134688	0.9113439336978632	0.9534018869898268	0.9063316617011595
22	1	320	0.9597816801503579	0.9164429645030677	0.9503627500328624	0.9123222978028438	0.9502739985277567	0.9121922779686731	0.953720293466597	0.906147244305871
23	1	-1	0.9598848308181257	0.9151735175421271	0.9499376525952087	0.9111668072052281	0.9498483507883388	0.9109439306773873	0.9538155052652163	0.905184329790349
24	2	32	0.9611249795383279	0.917696166089834	0.9511940498317587	0.9137962765524426	0.9511085346287841	0.91331617212849	0.955393707646168	0.9088780321895962
25	2	64	0.9616877811715796	0.9192479081637024	0.9523860863690279	0.9148297771613778	0.9523215186092309	0.9145050515739642	0.9556432386327292	0.9097805693912004
26	2	96	0.9604781269002473	0.9157677867440812	0.9495904511222646	0.9113192681649256	0.9495279215398057	0.9109291366628556	0.9542327564577004	0.9064814169932403
27	2	128	0.9611133334720325	0.9187520489352939	0.9522764505040499	0.9147749930763146	0.9521882757981746	0.9145110464845659	0.9557172940043167	0.9097987284377261
28	2	160	0.9615751896241393	0.9199000346954663	0.9518281640003243	0.9153267256925522	0.9516685292510961	0.9150998702417457	0.9548557351807491	0.909208279006306
29	2	192	0.9613341797906176	0.9191231442963551	0.9518160789845664	0.91428573334009	0.9516872478411317	0.9141634288270228	0.9550004692835815	0.9085085245917373
30	2	224	0.9616900120618316	0.919838634229465	0.9525592426357835	0.9150848867546918	0.9524253655928929	0.9148058202556733	0.9552728837262433	0.9089769103200213
31	2	256	0.9614442434723803	0.9192568512668169	0.9516094663271528	0.9143671042094657	0.9515011443642336	0.9139930210300242	0.9548639890929828	0.908475069608324
32	2	288	0.9618484932169079	0.920681574750307	0.9513790593502466	0.9152344298375478	0.9513181683023832	0.914947792016543	0.9538819302951755	0.9083427382093829
33	2	320	0.9615814166173311	0.9194168911286099	0.9511747679699945	0.9142165758694942	0.9510632043548606	0.9138110440408215	0.9536774502549238	0.9071540974992867
34	2	-1	0.9618899204830091	0.9197523219160592	0.9514990187584786	0.9144950284775409	0.9513724249074965	0.9141933958011308	0.9541000305950149	0.907493882362763
35	3	32	0.9615725200294286	0.9196699542618352	0.9500532438609471	0.9139447661680752	0.9499245880971301	0.9136385217304753	0.954052601801799	0.9082290205910208
36	3	64	0.9622641779564153	0.9208518537072761	0.9518685142228873	0.9157354368701474	0.9517278605856678	0.9154265739222907	0.9549183732412461	0.9091011626106166
37	3	96	0.9625325524437279	0.9211031170102869	0.9520056696349597	0.9157857115091826	0.9518802639360843	0.9155718273472446	0.9549038242948721	0.9093585420847464
38	3	128	0.962412207234652	0.9210918320267806	0.9521220082987237	0.9157850028819498	0.9519936696864797	0.9155149931694914	0.9549815974380843	0.9092520130538757
39	3	160	0.9625864612298495	0.9212151369556961	0.9524239137731138	0.9161263224728557	0.9522914047396616	0.9158954350467772	0.9551869771522131	0.9097375363919628
40	3	192	0.9627922108913867	0.9214139694219735	0.9523087980474476	0.9163644932226866	0.9521701958703442	0.9158994404958961	0.9550326043881759	0.9095774055845672
41	3	224	0.9630076661645971	0.9217946235113581	0.9525463989407941	0.9166150706332703	0.952410780891146	0.9161885755647432	0.9555716681641571	0.9102728493194283
42	3	256	0.9630675850486086	0.9222451399096487	0.952555889993494	0.9168340478166045	0.9524244870974917	0.9164701544694059	0.9553434910563082	0.9104731937749312
43	3	288	0.9630349696372591	0.9222882373298693	0.952605827051247	0.9168340478166045	0.9524710416836056	0.9165576301434459	0.9551684193943721	0.9101838578652106
44	3	320	0.9630215630333796	0.9222556859503128	0.9526062420847365	0.9168406528287275	0.9524752171203408	0.9165423624476087	0.9551697992335885	0.9101982615663468
45	3	-1	0.9630212619359664	0.9222594034012261	0.9526033726229892	0.9168338697124335	0.952472766628758	0.9165486567247956	0.9551685746586317	0.910192641811339