Idanwo ti o sopọ mọ itọsọna · Lile Ipele
Lookahead ati Kiniun Optimizers adanwo
Checks Lookahead’s fast and slow weights, Lion’s sign-based momentum update, and the implications for memory and learning-rate choice.
Ibeere 1 ti 8
Kini igbesẹ iširo asọye ninu imudojuiwọn iwuwo kiniun ti o dara ju?
Awotẹlẹ gbogbo ibeere8 ibeere
Awọn idahun ati awọn alaye han bi o ṣe n mu ibeere naa.
- Kini igbesẹ iširo asọye ninu imudojuiwọn iwuwo kiniun ti o dara ju?
- Gbigba ami ti akoko ti o da lori ipa
- Pipin gradient nipasẹ iwọn ṣiṣe onigun mẹrin rẹ
- Iṣiro a keji-ibere Hessian isunmọ
- Iwọn aropin kọja awọn aaye ayẹwo pupọ
- Bawo ni Lookhead ṣe ilana iṣapeye rẹ?
- O nlo eto kan ti awọn iwuwo imudojuiwọn lẹmeji fun igbesẹ kan
- O ṣetọju awọn iwuwo 'yara' ti a ṣe imudojuiwọn nipasẹ iṣapeye ipilẹ ati awọn iwuwo 'o lọra' ti o ṣe agbedemeji si wọn lorekore
- O yọ ipa kuro patapata lati fi iranti pamọ
- O ṣe ikẹkọ awọn nẹtiwọọki meji ati aropin awọn abajade wọn
- Bawo ni a ṣe rii iṣaju kiniun ni akọkọ?
- Nipa jijẹ ọwọ rẹ lati imọ-iṣapeye convex
- Nipa aropin awọn imudojuiwọn ti SGD ati Adam
- Nipasẹ wiwa eto aami aladaaṣe lori awọn algoridimu ti o dara ju
- Lati kan kikopa fisiksi ti išipopada patiku
- Ni afiwe pẹlu Adam, kini anfani iranti bọtini ti Kiniun?
- O tọjú ko si ipinle ni gbogbo
- O nlo awọn iwọn konge idaji ni aifọwọyi
- O pin ipinlẹ kọja gbogbo awọn ipele
- O ntọju ifipamọ ipa kan nikan dipo awọn tenors ipinlẹ meji ti Adam
- Kini idi ti Kiniun nigbagbogbo nilo oṣuwọn ẹkọ ti o kere ju Adam lọ?
- Nitori iṣiṣẹ ami naa jẹ ki gbogbo aṣọ titobi imudojuiwọn, ṣe iwọn igbesẹ naa ni imunadoko
- Nitoripe ko lo ipa
- Nitori ti o ilana tobi batches
- Nitori ti o disables àdánù ibajẹ
- Anfani to wulo ti Lookhead ni pe o duro lati ṣe ikẹkọ:
- Diẹ ifarabalẹ si yiyan hyperparameters
- Diẹ sii iduroṣinṣin ati logan, pẹlu oscillation dinku
- Losokepupo fun igbese kan nipa kan mẹwa
- Ni ibamu pẹlu Adam tabi SGD
- Lookahead slow weights are 0 and the fast weights end an inner loop at 8. If alpha is 0.25, where do the slow weights move?
- To 8, regardless of alpha
- To −2, away from the fast weights
- To 2, one quarter of the distance toward the fast weights
- They remain at 0 because alpha only changes Lion
- After Lookahead updates its slow weights at synchronization, where do the fast weights restart?
- At the original random initialization
- At the final validation predictions
- At the previous slow weights before interpolation
- At the updated slow-weight values for the next inner loop