Files
nyaya-3b-v3/training/figures/training_v3.csv
ModelHub XC ff5f5ef338 初始化项目,由ModelHub XC社区提供模型
Model: NyayaLabs98/nyaya-3b-v3
Source: Original Platform
2026-07-27 22:08:26 +08:00

3.1 KiB

1stepepochlosslearning_rategrad_normmean_token_accuracy
2100.060468631897203331.48689956665039069e-050.22064013779163360.6501498550176621
3200.120937263794406651.2801131248474129.980736554638366e-050.203031688928604130.6815041944384574
4300.181405895691609981.14426593780517589.914337409040418e-050.123612724244594570.7108227916061878
5400.24187452758881331.07837266921997079.801196139334195e-050.138244077563285830.7233529925346375
6500.302343159486016641.03280601501464859.642388874981347e-050.17186895012855530.7331555418670177
7600.362811791383219950.94522457122802749.439426092011875e-050.198339268565177920.7508241727948188
8700.423280423280423260.89574489593505869.194238246314599e-050.271383017301559450.763477711379528
9800.48374905517762660.83883094787597668.90915741234015e-050.86699455976486210.776527363806963
10900.544217687074830.77851305007934578.586895101857747e-050.32513430714607240.7925561927258968
111000.60468631897203330.70258932113647478.230516473739935e-050.454805821180343630.810952752828598
121100.66515495086923660.67173776626586917.843411180075794e-050.34900125861167910.8204429857432842
131200.72562358276643990.6347281932830817.42926112590631e-050.41810801625251770.8306220307946205
141300.78609221466364320.58373866081237796.992005449231208e-050.406897813081741330.843410138040781
151400.84656084656084650.53291859626770026.535803054375738e-050.46658876538276670.8579231850802899
161500.90702947845804990.50830135345458986.064993055076698e-050.46265590190887450.8642070218920708
171600.96749811035525320.4891644001007085.5840535035285025e-050.58838719129562380.8689255759119987
181701.02418745275888120.437760925292968735.0975587979329734e-050.62381440401077270.8809238640467326
191801.08465608465608470.41749329566955574.610136173665751e-050.42845666408538820.888404282182455
201901.1451247165532880.392895388603210444.1264216918883656e-050.423299252986907960.8944049634039402
212001.20559334845049130.391945314407348643.651016144214878e-050.452796429395675660.8959574572741985
222101.26606198034769470.38412489891052253.188441292840587e-050.49725756049156190.896124105155468
232201.32653061224489790.352189612388610852.743096862349427e-050.51215440034866330.9058273300528527
242301.38699924414210130.37452583312988282.3192186922673186e-050.387170553207397460.9008041150867939
252401.44746787603930470.35685853958129881.9208384483883817e-050.400574594736099240.9051908120512963
262501.5079365079365080.340929865837097171.5517452760747975e-050.39717373251914980.9089121885597706
272601.5684051398337110.330796313285827651.2154497602603703e-050.362235248088836670.9112872503697872
282701.62887377173091470.33473534584045419.151505349477902e-060.39427086710929870.9104152075946331
292801.6893424036281180.340167069435119656.53703859789348e-060.352296501398086550.9098294205963612
302901.74981103552532110.31722276210784914.335964531197401e-060.384569346904754640.9160888768732548
313001.81027966742252460.317316436767578152.5692183983629713e-060.50151389837265010.9155210055410862