quiz bu lëkkale ak tegtal · Diggante Niveau

Warmup ak Cosine Horaire Quiz

Dafay saytu cër bi warmup wara am ci tàggat yaram, dem ci cosine decay, ak ni ñuy jàngee rampe lineaire bi ak point biy jeexal oraaire bi.

Yooni njiit yu jëm ciWarmup ak Cosinus
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Lan mooy jubluwaay bi gëna mag ci wàllu tàngoor bi ñuy tàmbali tàggat yaram?

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

  1. Lan mooy jubluwaay bi gëna mag ci wàllu tàngoor bi ñuy tàmbali tàggat yaram?
    • Ngir dakkal tàggat yaram bu teel sudee diisaay yi dañuy nekk ci anam wu bari te degrade yi dañu bari bruit
    • Yokk dayo lots bi ndànk-ndànk
    • Ngir gelé xeetu couche yi ci suufu model bi
    • Ngir kompresse model bi ngir gëna gaaw ci jël doggal
  2. Cosine annealing dafay yàqu tolluwaayu jàng ci ban jëmm?
    • Ligne diagonale bu jub
    • Courbe cosine bu tàmbali kawe, yombal, ba noppi plat ci wetu nul
    • Fonction jéego buy wàcci ci jamono yu takku
    • ab piik exponensiyel ci kaw
  3. Ban optimiser mooy gëna am njariñ ci warmup ndax estimaasioŋ yi ci variance yi wóoru ñu ci teel?
    • SGD bu amul benn momentum
    • Seetug griy
    • Adam ak ay xeetam
    • K-dafay tekki
  4. Ci formul cosinus, lan mooy T?
    • Tàngooru model bi ngir jël misaal
    • Limu GPU yiñ jëfandikoo
    • Dayo vokabileer tokenizer bi
    • Limu jéego yi ci tàggat yaram yépp ci kalendriye bi
  5. In the guide’s warmup-plus-cosine schedule, what begins after warmup reaches its target rate?
    • Cosine decay begins from the peak learning rate
    • All model weights are reset
    • The schedule switches to a constant zero rate
    • Momentum is removed from every optimizer
  6. A linear warmup rises from zero to its target rate over 200 steps. About what rate is used halfway through?
    • The full target rate
    • About half of the target rate
    • The learning rate is exactly zero
    • Twice the target rate
  7. At the cosine horizon t = T, what multiplier does the guide’s cosine formula produce?
    • Benn
    • One-half
    • Zéro
    • It becomes negative one
  8. Why use a gradual cosine decay after warmup rather than abruptly setting the rate to zero?
    • It guarantees a global minimum
    • It increases the model’s parameter count
    • It removes the need to check training loss
    • It lets the rate ease down so optimization can settle gradually