Dubawa
Dabaru don adana yanayin horon samfurin guntu (shards) don haka za a iya ajiye manyan samfura kuma a sake loda su ba tare da shaƙawa akan iyakokin ƙwaƙwalwar ajiya ko faifai ba, don haka gudu ya faɗo zai iya ɗauka daidai inda ya tsaya. Mahimmanci ga kowane aikin horo da ke gudana na kwanaki ko makonni a cikin GPUs da yawa.
Sharding Point Sharding da Resumable Training tubalan gini ne na fasaha wanda ke shafar ingancin samfuri, farashin kayayyakin more rayuwa, latency, da aminci a sikeli.
Zurfafa nutsewa
Wurin binciken horo hoto ne na duk abin da ake buƙata don ci gaba: ma'aunin ƙira, jahohin ingantawa, jadawalin ƙimar koyo, matsayin mai ɗaukar bayanai, da nau'in janareta na lambar bazuwar. Ga manyan samfura wannan hoton na iya zama ɗaruruwan gigabytes, wanda yayi girma da yawa ga fayil ɗaya ko ƙwaƙwalwar na'ura ɗaya. Sharding Checkpoint yana rarrabuwa wanda ke ɗaukar hoto a cikin fayiloli da yawa da darajoji da yawa, don haka kowane GPU yana rubuta nasa yanki kawai a layi daya. Horon da za a sake dawowa sannan ya sake loda waɗancan shards kuma ya dawo da cikakken jihar daidai. Idan ba tare da shi ba, gudu na makonni da yawa wanda ya fado a sa'a 200 zai sake farawa daga karce. Tsarukan kamar PyTorch Rarraba Checkpoint, DeepSpeed , da Tsarin Rarraba Face Hub sun sanya wannan na yau da kullun.
Fahimtar Fasaha
Sharding yana aiki saboda horon da aka rarraba ya riga ya raba ma'aunin nauyi da jihohi masu ingantawa a cikin matsayi (ta hanyar bayanai, tensor, ko daidaitaccen ZeRO). Kowane matsayi yana tsara ɓangaren sa ne kawai, sau da yawa zuwa tsari kamar safetensors waɗanda ke ba da damar raɗaɗi, ɗaukar taswirar ƙwaƙwalwar ajiya. Fayil na fihirisa taswirar siga sunaye zuwa fayilolin shard. Don ci gaba da ƙayyadaddun ƙayyadaddun ƙayyadaddun ƙayyadaddun tsarin, tsarin kuma yana dawwama a jihohin RNG, ƙidayar matakin ingantawa, da daidaitaccen mai ɗaukar bayanai, don haka sake kunnawa yana sake fitar da jerin batches iri ɗaya.
Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwaƙwalwa na Ƙaddamarwa zai Yi
Dabaru don adana yanayin horon samfurin guntu (shards) don haka za a iya ajiye manyan samfura kuma a sake loda su ba tare da shaƙawa akan iyakokin ƙwaƙwalwar ajiya ko faifai ba, don haka gudu ya faɗo zai iya ɗauka daidai inda ya tsaya. Mahimmanci ga kowane aikin horo da ke gudana na kwanaki ko makonni a cikin GPUs da yawa. Sharding Point Sharding da Resumable Training tubalan gini ne na fasaha wanda ke shafar ingancin samfuri, farashin kayayyakin more rayuwa, latency, da aminci a sikeli. Don gina zurfin fahimta, bi Sharding Checkpoint da Resumable Training a matsayin samfurin aiki, ba fasali ɗaya ba: ayyana sakamakon da ake so, fayyace zato, da raba abin da tsarin zai iya yi da dogaro daga abin da har yanzu ke buƙatar yanke hukunci na ƙwararru.
A aikace, ƙaƙƙarfan ƙungiyoyi masu amfani da Checkpoint Sharding da Resumable Training suna haɓaka gine-gine, bayanai, da zaɓin abubuwan more rayuwa akan dogaro da farashi. Suna rubuta ƙayyadaddun ƙa'idodin nasara, gwaji akan bayanan gaskiya da gudanawar aiki, da jujjuyawar bisa ga tsarin gazawar da aka lura maimakon cin nasara na lokaci ɗaya. Wannan shine inda fahimtar ka'idar ta juya zuwa iyawa mai dorewa a cikin samfura, manufofi, da ayyuka.
Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru. A lokaci guda, Haɓaka ma'auni ɗaya na iya ɓoye manyan raunin tsarin. Hanyar da ta fi dacewa ita ce haɗa saurin gwaji tare da horon gudanarwa: gudanar da matukin jirgi, kama shaida, buga rajistan ayyukan yanke shawara, da ci gaba da sabunta abubuwan tsaro kamar yadda halayen ƙira, tsammanin mai amfani, da buƙatun tsari ke tasowa.
Dabarun Tasiri
Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru.
Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Ilimin fasaha yana taimaka wa ƙungiyoyi su zaɓi tari mai kyau, ba kawai sabon abu ba.
Ilimin fasaha yana taimaka wa ƙungiyoyi su zaɓi tari mai kyau, ba kawai sabon abu ba. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Zaɓuɓɓukan injiniya mafi kyau suna rage abin dogaro a cikin samarwa.
Zaɓuɓɓukan injiniya mafi kyau suna rage abin dogaro a cikin samarwa. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Aiwatar da Gaskiyar Duniya
Samfurin iyaka yana gudana a cikin dubunnan GPUs waɗanda ke adana wuraren bincike ta atomatik kowane ƴan matakai ɗari don haka kumburin da ya gaza ɗaya kawai yana ɗaukar mintuna, ba kwanaki ba.
Fuskar Runguma tana rarraba babban buɗaɗɗen ƙira a matsayin shards na safetensors da yawa tare da index.json don masu amfani su iya saukewa da loda shi gabaɗaya.
Wani mai bincike yana ci gaba da katsewa mai kyau wanda ke dawo da ainihin lokacin ingantawa, ƙidayar mataki, da matsayin mai ɗaukar bayanai don ci gaba da watsewa.
Horarwa ta misali akan GPUs masu arha mai arha, inda wuraren bincike akai-akai ke barin aikin ya tsira daga korar da sake tsarawa.
Hanyoyin Aiwatarwa
Sharding Point Check da Resumable Training a aikace
Samfurin iyaka yana gudana a cikin dubunnan GPUs waɗanda ke adana wuraren bincike ta atomatik kowane ƴan matakai ɗari don haka kumburin da ya gaza ɗaya kawai yana ɗaukar mintuna, ba kwanaki ba.
Samfurin iyaka yana gudana a cikin dubunnan GPUs waɗanda ke adana wuraren bincike ta atomatik kowane ƴan matakai ɗari don haka kulli ɗaya da ya gaza kawai yana kashe mintuna, ba kwanaki Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da bin diddigin nasarorin samarwa da tsadar kurakurai a kan lokaci.
Sharding Point Check da Resumable Training a aikace
Fuskar Runguma tana rarraba babban buɗaɗɗen ƙira a matsayin shards na safetensors da yawa tare da index.json don masu amfani su iya saukewa da loda shi gabaɗaya.
Rungumar Fuskar da ke rarraba babban buɗaɗɗen ƙira kamar yadda madaidaicin shards da yawa tare da index.json don haka masu amfani za su iya zazzagewa da loda shi gabaɗaya Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ƙofofin inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in gefe, da kuma bin diddigin nasarorin samarwa da ƙimar kuskure akan lokaci.
Sharding Point Check da Resumable Training a aikace
Wani mai bincike yana ci gaba da katsewa mai kyau wanda ke dawo da ainihin lokacin ingantawa, ƙidayar mataki, da matsayin mai ɗaukar bayanai don ci gaba da watsewa.
Mai bincike da ke ci gaba da katsewar sauti mai kyau wanda ke dawo da ainihin lokacin ingantawa, ƙidayar mataki, da matsayin mai ɗaukar bayanai don ci gaba ba tare da ɓata lokaci ba Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in gefe, da kuma bin diddigin nasarorin samarwa da ƙimar kuskure akan lokaci.
Sharding Point Check da Resumable Training a aikace
Horarwa ta misali akan GPUs masu arha mai arha, inda wuraren bincike akai-akai ke barin aikin ya tsira daga korar da sake tsarawa.
Horarwa ta misali akan GPUs masu arha mai arha, inda wuraren bincike akai-akai ke barin aikin ya tsira ana fitar da shi da kuma sake tsarawa Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ƙofofin inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in gefe, da bin diddigin nasarorin samarwa da farashi na kuskure akan lokaci.
Hatsari & Tsare-tsare
Haɓaka ma'auni ɗaya na iya ɓoye manyan raunin tsarin.
Sau da yawa ana raina kayan more rayuwa da kuma kuɗin kulawa.
Tsaro da gibin lura na iya girma yayin da tsarin ke ƙara haɓaka.
Taswirar Hanya
Ƙayyade latency, inganci, da maƙasudin farashi kafin aiwatarwa.
Ƙayyade latency, inganci, da maƙasudin farashi kafin aiwatarwa. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Alamar ma'auni a ƙarƙashin ainihin kaya da yanayin bayanai.
Alamar ma'auni a ƙarƙashin ainihin kaya da yanayin bayanai. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Kula da kayan aiki don kurakurai, ɗigo, da tasirin mai amfani.
Kula da kayan aiki don kurakurai, ɗigo, da tasirin mai amfani. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Shirya bijirowa da hanyoyin mayar da martani kafin sikeli.
Shirya bijirowa da hanyoyin mayar da martani kafin sikeli. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.