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RoBERTa waxay muujisay in BERT si weyn loo tabobaran: iyadoo la hagaajinayo cuntada halkii laga samayn lahaa qaab-dhismeedka, waxay dejisay diiwaanno bartilmaameed cusub.
Dhageyso hagahanAI-waa laga sheekeeyay · ~2 min
Waa heer sare oo ku saabsan sida xulashada tababarku ay muhiim u tahay sida naqshadeynta moodeelka.
RoBERTa (Si adag loo Hagaajiyay BERT Approach), oo uu sii daayay Facebook AI sanadka 2019, ayaa qaab dhismeedka BERT ka dhigay mid aan isbadalin balse dib u habeyn lagu sameeyay sida loo tababaray. Kooxdu waxay muddo dheer ku tababarteen xog aad u badan (160GB oo qoraal ah oo ka soo horjeeda BERT's 16GB), waxay adeegsadeen dufcooyin aad uga waaweyn, oo waxay meesha ka saareen ujeedadii BERT ee jumlada-xiga ka dib markii ay u arkeen mid aan waxtar lahayn. Waxay ka beddeleen waji-xidhid taagan - halkaas oo erayo isku mid ah lagu qariyo waaya-aragnimo kasta - ilaa waji-xidhasho firfircoon oo dib-u-fushad mar kasta oo taxane ah oo la arko, oo la isticmaalo calaamad BPE-heer byte ah. Isbeddelladan oo keliya, RoBERTa waxay dhaaftay BERT oo waxay la mid tahay ama garaacday moodooyinka cusub sida XLNet ee GLUE, SQuAD, iyo RACE, taasoo caddaynaysa in tababarka anshaxa leh uu la tartami karo hal-abuurnimada dhismaha.
Hagaajinta RoBERTa ee falanqaynta dareenka, ogaanshaha sunta, iyo dhexdhexaadinta nuxurka
U adeega sida codeeyaha xooggan ee raadinta semantic iyo moodooyinka jumlada ku-xidhan
Ku-xoojinta NLP-ga luqadaha badan iyadoo la adeegsanayo kala duwanaanshaha XLM-RoBERTa ee 100 luqadood
U shaqaynta sidii sal sax ah oo sarreeya oo ku saabsan gluE, SquaAD, iyo bartilmaameedyada RACE
Casharka waara ee RoBERTa - in xogta taxaddarka leh, cabbirka, iyo hagaajinta hyperparameter-ka ay ka miisaan badnaan karto qaab-dhismeedka - qaabeeyay sida goobtu u wajahdo tababarka ka hor. Waxay ahaanaysaa laf-dhabarta koodhka si weyn loo isticmaalo, la isku halayn karo si loo kala saaro, dib u soo celinta, iyo hawlaha hagaajinta, iyo noocyada kala duwan ee luuqadaha badan sida XLM-R waxay ku kordhiyeen cuntada 100 luqadood. Marka fikirka qaan-qaadista qaangaadho, falsafada RoBERTa ee 'tababarka si ka sii wanaagsan, ma aha oo kaliya dhismaha weyn' waxay sii wadaa inay wargeliso horumarinta moodeelka hufan.
Warqad bilaash ah
Saddex sheeko oo la xaqiijiyay oo AI ah maalin kasta oo shaqo ah, oo lagu qoray Ingiriis fudud. Bilaash had iyo jeer, aan xayaysiis lahayn.
Hal iimayl maalin kasta oo shaqo ah. Ka bax hal gujin. Marna ma iibinno ama ma wadaagno ciwaankaaga.
Is tijaabi
Fikrad degdeg ah oo ku saabsan jawaab kasta, iyo shahaado la wadaajin karo oo leh aqoonsi la xaqiijin karo markaad ka gudubto koorso.
Taageer waxbarashada AI bilaashka ah. AI Understanding waa 501(c)(3) aan faa'iido doon ahayn — xayaysiis la'aan, albaab lacag ah ma jiro, had iyo jeer. Samee deeq
RoBERTa waxay muujisay in BERT si weyn loo tabobaran: iyadoo la hagaajinayo cuntada halkii laga samayn lahaa qaab-dhismeedka, waxay dejisay diiwaanno bartilmaameed cusub. Waa heer sare oo ku saabsan sida xulashada tababarku ay muhiim u tahay sida naqshadeynta moodeelka.
RoBERTa waxay muujisay in BERT si hoose loo tababaray, iyo in xog badan iyo tababar dheer ay si wayn u wanaajiyeen natiijooyinka.
RoBERTa waxay heshay saadaasha jumlada xigta mid aan faa'iido lahayn wayna iska tuurtay, iyadoo ku tababartay qaabaynta luuqadda waji-xidhan oo kaliya.
RoBERTa generates masks dynamically during training, providing varied prediction targets when sequences are revisited.
The guide contrasts roughly 160 GB in the RoBERTa training setup with about 16 GB in the original BERT setup, an approximately tenfold difference.
RoBERTa waxaa soo bandhigay Facebook AI (hadda Meta AI) sanadka 2019.
Sii wad waxbarashada
Tilmaamayaal badan ayaa loo doortay mawduucan
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Tababarka Saadaasha Calaamadaha Badan
Luuqadda AI