Ntụziaka nka

Ịhazi ọnụ ọgụgụ mmụta

Usoro ọnụego mmụta na-agbanwe nha nzọụkwụ n'oge ọzụzụ kama ijide ya.

2 nkeji na-agụEmelitere ikpeazụ

Nchịkọta

Getting it right is often the single biggest lever for whether a model converges quickly and reaches high accuracy.

Ime miri emi

Ọnụego mmụta na-achịkwa otú nnukwu nzọụkwụ onye na-ebuli elu si ewe mmelite ọ bụla. Oke elu na ọzụzụ diverges; dị oke ala ma ọ na-arara ma ọ bụ rapara. Ịhazi oge na-agbanwe uru a ka oge na-aga. Ntụziaka ọgbara ọhụrụ a na-emekarị bụ ikpo ọkụ na-esochi ire ere: malite nso efu wee gbagote n'elu narị ole na ole ma ọ bụ puku nzọụkwụ mbụ (ya mere n'isi ụtụtụ, gradients na-eme mkpọtụ anaghị afụ ụfụ na-adịghị akwụ ụgwọ), wee jiri nwayọọ nwayọọ belata. Ụdị ire ere na-ewu ewu na-agụnye ire ere nzọụkwụ (dabere site n'otu ihe na oge a na-edozi), ire ere na-egbuke egbuke, na annealing cosine, nke na-esochi usoro ọkara-cosine nke ọma ruo na nso efu. Nhazi oge cosine nwere ikpo ọkụ linear bụ ọkọlọtọ maka ịzụ ụdị asụsụ buru ibu, ebe atumatu cyclical na otu okirikiri nwere ike mee ka ọzụzụ dị nta dị ngwa.

Nghọta nka nka

Ihe na-ekpo ọkụ n'ihi na ndị na-eme mgbanwe dị ka Adam nwere atụmatụ oge nke abụọ na-enweghị ntụkwasị obi na nzọụkwụ mbụ; Obere mmụta ọnụego na-ezere imebi ịdị arọ tupu ọnụ ọgụgụ ndị ahụ edozi. Cosine annealing sets lr = lr_min + 0.5 * (lr_max - lr_min) * (1 + cos(pi * t / T)), na-enye ọganihu ngwa ngwa n'isi na obere, na-edozi usoro dị mma nso na njedebe. Ụfọdụ nhazi oge na-agbakwunye mmalite ọkụ, na-awụghachi ọnụego azụ iji gbanarị minima dị nkọ.

Mmetụta atụmatụ

Ọnụ ego na mmefu ego

Mkpebi ihe owuwu ụlọ na-akwalite arụmọrụ yana ọnụ ahịa ọrụ ruo ọtụtụ afọ.

Mkpebi doro anya

Nkà mmụta nka na-enyere ndị otu egwuregwu aka ịhọrọ nchịkọta ziri ezi, ọ bụghị naanị nke kachasị ọhụrụ.

Quality akara

Nhọrọ injinia ka mma na-ebelata ihe omume ntụkwasị obi na mmepụta.

Ọdịnihu nke nhazi ọnụego mmụta

Ka ọzụzụ na-aga n'ihu na-abawanye ọnụ, a na-ahazi usoro nhazi ya na ndị na-eme ka ọ dị mma na nha batch, ndị na-eme nchọpụta na-amụkwa iwu scaling iji buru amụma ọnụ ọgụgụ kasị mma tupu ọzụzụ. Ndị na-emezigharị oge na-enweghị usoro nke na-ewepụ mkpa ọ dị ịhọrọ ụzọ ire ere tupu oge eruo na-enweta traction, na mgbanwe, nhazi usoro nzaghachi nke na-anabata usoro ọnwụ ndụ nwere ike ibelata ule-na-njehie nke ka na-achịkwa ọzụzụ buru ibu.

Mmejuputa n'ezie n'ụwa

A na-eji ikpo ọkụ Linear gbakwunyere ire ere cosine mgbe a na-azụ ụdị asụsụ mgbanwe.

Nrụrụ nzọụkwụ nke na-agbada ọnụego mmụta 10x na oge 30, 60, na 90 mgbe ị na-azụ ndị nhazi onyonyo na ImageNet.

Amụma otu okirikiri na fast.ai iji zụọ ihe nlereanya ka ọ dị mma n'ime oge ole na ole.

Annealing Cosine na-ekpo ọkụ malitegharịa iji gbanarị obere mfu dị nkọ ma melite mkpokọta.

Ihe ize ndụ & okporo ụzọ nche

Ịkwalite otu akara ngosi nwere ike zoo adịghị ike sistemụ sara mbara.

A na-eledakarị ihe akụrụngwa na ụgwọ ọrụ anya.

Ọdịiche nchekwa na nleba anya nwere ike itolite ka sistemu na-adịwanye mgbagwoju anya.

Map mmejuputa

1

Kọwaa latency, ịdịmma na ebumnuche ọnụ ahịa tupu mmejuputa ya.

2

Benchmark n'okpuru ibu dị adị na ọnọdụ data.

3

Nleba anya akụrụngwa maka mperi, ịkpafu na mmetụta onye ọrụ.

4

Kwadebe ụzọ nzaghachi azụghachi azụ na ihe omume tupu ịchachaa.

Nọgide na-eme nchọpụta

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Ntuziaka na-esote

Ọnụego mmụta cyclical

Ajụjụ a na-ajụkarị

What is Learning Rate Scheduling?

Usoro ọnụego mmụta na-agbanwe nha nzọụkwụ n'oge ọzụzụ kama ijide ya. Inweta ya nke ọma na-abụkarị otu nnukwu lever maka ma ihe nlereanya na-agbakọta ngwa ngwa wee rute oke ziri ezi.

Gịnị bụ ebumnobi nke usoro 'ekpo ọkụ' na nhazi ọnụego mmụta?

Igwe ọkụ na-amalite nso efu ma na-abawanye ọnụego ka mmelite mmalite na-adịghị akwụsị akwụsị ghara imebi ihe nlereanya ahụ tupu ọnụ ọgụgụ njikarịcha edozi.

Kedu usoro nhazi nke na-esote usoro ọkara-cosine gbadaa na opekempe?

Annealing cosine na-emebi ọnụ ọgụgụ mmụta n'ogo ọkara cosine, na-enye nnukwu nzọụkwụ n'isi na obere nzọụkwụ nso na njedebe.

Kedu ihe ga - eme ma ọ bụrụ na edobere ọnụego mmụta dị oke oke?

Ọnụego dị elu gabigara ókè na-akpata ịgbaghara, ya mere mfu ahụ nwere ike ibili gburugburu ma ọ bụ fesa kama idozi.

Kedu ihe nrụrụ ụkwụ na-eme na ọnụego mmụta?

Nrụrụ nzọụkwụ na-amụba ọnụego site n'otu ihe (dịka ọmụmaatụ, 0.1) n'ihe dị ịrịba ama a họọrọ, na-emepụta ụkpụrụ steepụ.

Kedu ihe kpatara eji agbakwunye 'mmalite ọkụ' mgbe ụfọdụ na nhazi oge?

Malitegharịa ekwentị na-ekpo ọkụ na-awụli elu n'ịmụ ihe n'oge oge, na-enyere onye na-ebupụta ihe pụọ na obere obere warara wee chọpụta azịza ka mma.