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RoBERTa yakaratidza kuti BERT yaive yakadzikira zvakanyanya: nekugadzirisa iyo resipi kwete yekuvaka, yakaisa marekodhi matsva ebhenji.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
It is a masterclass in how training choices matter as much as model design.
RoBERTa (Robustly Optimized BERT Approach), yakaburitswa neFacebook AI muna 2019, yakachengeta chivako cheBERT chisina kuchinjika asi chakagadziridza madzidzisirwo aakaitwa. Chikwata chakadzidziswa kwenguva yakareba pane data rakawanda (160GB yezvinyorwa zvichipesana neBERT's 16GB), yakashandisa mabheti akakura, uye yakabvisa chinangwa cheBERT chinotevera-mutsara-yekufanotaura mushure mekuzviona zvisingabatsire. Ivo vakachinja kubva kune static masking - uko iwo mazwi mamwechete anovharika epoch yega yega - kune ane simba masking ayo anovharazve pese panoonekwa kutevedzana, uye akashandisa byte-level BPE tokenizer. Nekuchinja uku chete, RoBERTa yakapfuura BERT uye yakafananidza kana kurova mhando nyowani seXLNet paGLUE, SQuAD, uye RACE, zvichiratidza kuti kudzidziswa kwakarangwa kunogona kukwikwidza hunyanzvi hwekuvaka.
Yakanaka-tuning RoBERTa yekuongorora manzwiro, kuona chepfu, uye kuyera zvemukati
Kushanda se encoder yakasimba yekutsvaga semantic uye mutsara-emedding modhi
Kusimbisa mitauro yakawanda NLP kuburikidza neXLM-RoBERTa musiyano mumitauro zana
Kuita seyakanyanya-chaiyo yekutanga paGLUE, SQuAD, uye RACE mabhenji.
RoBERTa chidzidzo chekupedzisira - kuti kungwarira kwedhata, chiyero, uye hyperparameter tuning inogona kupfuura ekuvaka tweaks - yakaumbwa kuti munda unosvika sei kudzidzisa. Iyo inoramba iri yakashandiswa zvakanyanya, yakavimbika encoder musana wekuisa, kudzoreredza, uye kunyatso-tuta mabasa, uye akasiyana mitauro yakawanda seXLM-R yakawedzera resipi mumitauro zana. Sezvo kuyera-mutemo kufunga kunokura, iyo RoBERTa huzivi hwe 'chitima zvirinani, kwete kungokura dhizaini' inoenderera mberi nekuzivisa inobudirira modhi budiriro.
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RoBERTa yakaratidza kuti BERT yaive yakadzikira zvakanyanya: nekugadzirisa iyo resipi kwete yekuvaka, yakaisa marekodhi matsva ebhenji. Iyo masterclass mune kuti sarudzo dzekudzidzisa dzinokosha sei senge modhi dhizaini.
RoBERTa yakaratidza kuti BERT yakanga isina kudzidziswa, uye kuti data rakawanda uye kudzidziswa kwenguva refu kwakavandudza mhedzisiro.
RoBERTa akawana kufanotaura kwemutsara unotevera kusingabatsiri uye akairasa, achidzidzira chete nemasikirwo emutauro.
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 yakaunzwa neFacebook AI (ikozvino Meta AI) muna 2019.
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InoteveraGaidhi rinotevera
Multi-Token Prediction Training
Mutauro AI