quiz bu lëkkale ak tegtal · Diggante Niveau

Quiz biy waaja tàggat ELECTRA

Dafay leeral gis-gis biñ wecci token, cër generatër ak diskriminatër, jàng ci position token yi, ak yam ci méngale ordinatër.

Yooni njiit yu jëm ciElectra di tàggat yaram
Laaj 1 de 8

Ban liggéey la ELECTRA di jëfandikoo ci palaasu modelu làkk bu maske?

Xoolaatal laaj bu nekk8 laaj

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

  1. Ban liggéey la ELECTRA di jëfandikoo ci palaasu modelu làkk bu maske?
    • ñu wecci gis-gis token
    • Prediction frase bi ci topp
    • Xalaatal baat bu ci topp buy dellu ginaaw
    • Modelu làkku permutasioŋ
  2. Lu tax ELECTRA gëna am njariñ ci xayma BERT?
    • Dafay jëfandikoo vocabulaire bu gëna ndaw
    • Dafay xayma siñaal jàng ci kaw jeton yépp, du ci kaw yiñ maske rek
    • Dafay tàggat ci 15% ci jeton yiñ maske
    • Dafay teggi mekaniismu bàyyi xel bi
  3. Ban cër la reso generatër bu ndaw bi di def ci ELECTRA?
    • Dafay rang produit yu mujj yi ci kalite
    • Dafay kompresse model bi ginaaw biñu ko tàggatee
    • Dafay defar ay token yuñ mëna wecci ngir kiy xeex mën àtte
    • Dafay tekki mbind diggante làkk yi
  4. Lan mooy dall generatër bi ginaaw bi ñu tàggatee ba noppi?
    • Dañu ko jagleel liggéey bi ci suuf
    • Dafa boole ak diskriminatër bi
    • Dafay nekk decodeur ngir jamono
    • Dañu koy sànni; diskriminatër bi kese lañuy jëfandikoo
  5. Gëstukat yu bawoo ci ban mbootaay ñoo njëkka defar ELECTRA?
    • Google and Stanford
    • AI ak NYU
    • OpenAI ak Microsoft
    • Deepmind ak Oxford
  6. Ban model ci ginaaw moo yokk xalaatu ELECTRA ci gis-token buñ wecci?
    • GPT-2
    • Deberta-v3
    • T5
    • Word2Vec
  7. What happens if ELECTRA’s generator proposes the original token at a position?
    • It is always labeled replaced because the generator proposed it
    • The position is removed from the input
    • That token is treated as original by the discriminator’s replaced-token label
    • The whole sequence is discarded
  8. When comparing ELECTRA with another pretraining method, what makes a compute claim meaningful?
    • Compare model names alone
    • Assume every ELECTRA run uses one fixed compute ratio
    • Ignore generator training cost
    • Specify model size, data, training budget, and evaluation setting