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- split: '69'
path: fm-16/69-*
- split: '70'
path: fm-16/70-*
- split: '71'
path: fm-16/71-*
- split: '72'
path: fm-16/72-*
- split: '73'
path: fm-16/73-*
- split: '74'
path: fm-16/74-*
- split: '75'
path: fm-16/75-*
- split: '76'
path: fm-16/76-*
- split: '77'
path: fm-16/77-*
- split: '78'
path: fm-16/78-*
- split: '79'
path: fm-16/79-*
- split: '80'
path: fm-16/80-*
- split: '81'
path: fm-16/81-*
- split: '82'
path: fm-16/82-*
- split: '83'
path: fm-16/83-*
- split: '84'
path: fm-16/84-*
- split: '85'
path: fm-16/85-*
- split: '86'
path: fm-16/86-*
- split: '87'
path: fm-16/87-*
- split: '88'
path: fm-16/88-*
- split: '89'
path: fm-16/89-*
- split: '90'
path: fm-16/90-*
- split: '91'
path: fm-16/91-*
- split: '92'
path: fm-16/92-*
- split: '93'
path: fm-16/93-*
- split: '94'
path: fm-16/94-*
- split: '95'
path: fm-16/95-*
- split: '96'
path: fm-16/96-*
- split: '97'
path: fm-16/97-*
- split: '98'
path: fm-16/98-*
- split: '99'
path: fm-16/99-*
- split: '100'
path: fm-16/100-*
- split: '101'
path: fm-16/101-*
- split: '102'
path: fm-16/102-*
- split: '103'
path: fm-16/103-*
- split: '104'
path: fm-16/104-*
- split: '105'
path: fm-16/105-*
- split: '106'
path: fm-16/106-*
- split: '107'
path: fm-16/107-*
- split: '108'
path: fm-16/108-*
- split: '109'
path: fm-16/109-*
- split: '110'
path: fm-16/110-*
- split: '111'
path: fm-16/111-*
- split: '112'
path: fm-16/112-*
- split: '113'
path: fm-16/113-*
- split: '114'
path: fm-16/114-*
- split: '115'
path: fm-16/115-*
- split: '116'
path: fm-16/116-*
- split: '117'
path: fm-16/117-*
- split: '118'
path: fm-16/118-*
- split: '119'
path: fm-16/119-*
- split: '120'
path: fm-16/120-*
- split: '121'
path: fm-16/121-*
- split: '122'
path: fm-16/122-*
- split: '123'
path: fm-16/123-*
- split: '124'
path: fm-16/124-*
- split: '125'
path: fm-16/125-*
- split: '126'
path: fm-16/126-*
- split: '127'
path: fm-16/127-*
- split: '128'
path: fm-16/128-*
- split: '129'
path: fm-16/129-*
- split: '130'
path: fm-16/130-*
- split: '131'
path: fm-16/131-*
- split: '132'
path: fm-16/132-*
- split: '133'
path: fm-16/133-*
- split: '134'
path: fm-16/134-*
- split: '135'
path: fm-16/135-*
- split: '136'
path: fm-16/136-*
- split: '137'
path: fm-16/137-*
- split: '138'
path: fm-16/138-*
- split: '139'
path: fm-16/139-*
- split: '140'
path: fm-16/140-*
- split: '141'
path: fm-16/141-*
- split: '142'
path: fm-16/142-*
- split: '143'
path: fm-16/143-*
- split: '144'
path: fm-16/144-*
- split: '145'
path: fm-16/145-*
- split: '146'
path: fm-16/146-*
- split: '147'
path: fm-16/147-*
- split: '148'
path: fm-16/148-*
- split: '149'
path: fm-16/149-*
- split: '150'
path: fm-16/150-*
- split: '151'
path: fm-16/151-*
- split: '152'
path: fm-16/152-*
- split: '153'
path: fm-16/153-*
- split: '154'
path: fm-16/154-*
- split: '155'
path: fm-16/155-*
- split: '156'
path: fm-16/156-*
- split: '157'
path: fm-16/157-*
- split: '158'
path: fm-16/158-*
- split: '159'
path: fm-16/159-*
- split: '160'
path: fm-16/160-*
- split: '161'
path: fm-16/161-*
- split: '162'
path: fm-16/162-*
- split: '163'
path: fm-16/163-*
- split: '164'
path: fm-16/164-*
- split: '165'
path: fm-16/165-*
- split: '166'
path: fm-16/166-*
- split: '167'
path: fm-16/167-*
- split: '168'
path: fm-16/168-*
- split: '169'
path: fm-16/169-*
- split: '170'
path: fm-16/170-*
- split: '171'
path: fm-16/171-*
- split: '172'
path: fm-16/172-*
- split: '173'
path: fm-16/173-*
- split: '174'
path: fm-16/174-*
- split: '175'
path: fm-16/175-*
- split: '176'
path: fm-16/176-*
- split: '177'
path: fm-16/177-*
- split: '178'
path: fm-16/178-*
- split: '179'
path: fm-16/179-*
- split: '180'
path: fm-16/180-*
- split: '181'
path: fm-16/181-*
- split: '182'
path: fm-16/182-*
- split: '183'
path: fm-16/183-*
- split: '184'
path: fm-16/184-*
- split: '185'
path: fm-16/185-*
- split: '186'
path: fm-16/186-*
- split: '187'
path: fm-16/187-*
- split: '188'
path: fm-16/188-*
- split: '189'
path: fm-16/189-*
- split: '190'
path: fm-16/190-*
- split: '191'
path: fm-16/191-*
- split: '192'
path: fm-16/192-*
- split: '193'
path: fm-16/193-*
- split: '194'
path: fm-16/194-*
- split: '195'
path: fm-16/195-*
- split: '196'
path: fm-16/196-*
- split: '197'
path: fm-16/197-*
- split: '198'
path: fm-16/198-*
- split: '199'
path: fm-16/199-*
- split: '200'
path: fm-16/200-*
- split: '201'
path: fm-16/201-*
- split: '202'
path: fm-16/202-*
- split: '203'
path: fm-16/203-*
- split: '204'
path: fm-16/204-*
- split: '205'
path: fm-16/205-*
- split: '206'
path: fm-16/206-*
- split: '207'
path: fm-16/207-*
- split: '208'
path: fm-16/208-*
- split: '209'
path: fm-16/209-*
- split: '210'
path: fm-16/210-*
- split: '211'
path: fm-16/211-*
- split: '212'
path: fm-16/212-*
- split: '213'
path: fm-16/213-*
- split: '214'
path: fm-16/214-*
- split: '215'
path: fm-16/215-*
- split: '216'
path: fm-16/216-*
- split: '217'
path: fm-16/217-*
- split: '218'
path: fm-16/218-*
- split: '219'
path: fm-16/219-*
- split: '220'
path: fm-16/220-*
- split: '221'
path: fm-16/221-*
- split: '222'
path: fm-16/222-*
- split: '223'
path: fm-16/223-*
- split: '224'
path: fm-16/224-*
- split: '225'
path: fm-16/225-*
- split: '226'
path: fm-16/226-*
- split: '227'
path: fm-16/227-*
- split: '228'
path: fm-16/228-*
- split: '229'
path: fm-16/229-*
- split: '230'
path: fm-16/230-*
- split: '231'
path: fm-16/231-*
- split: '232'
path: fm-16/232-*
- split: '233'
path: fm-16/233-*
- split: '234'
path: fm-16/234-*
- split: '235'
path: fm-16/235-*
- split: '236'
path: fm-16/236-*
- split: '237'
path: fm-16/237-*
- split: '238'
path: fm-16/238-*
- split: '239'
path: fm-16/239-*
- split: '240'
path: fm-16/240-*
- split: '241'
path: fm-16/241-*
- split: '242'
path: fm-16/242-*
- split: '243'
path: fm-16/243-*
- split: '244'
path: fm-16/244-*
- split: '245'
path: fm-16/245-*
- split: '246'
path: fm-16/246-*
- split: '247'
path: fm-16/247-*
- split: '248'
path: fm-16/248-*
- split: '249'
path: fm-16/249-*
- split: '250'
path: fm-16/250-*
- split: '251'
path: fm-16/251-*
- split: '252'
path: fm-16/252-*
- split: '253'
path: fm-16/253-*
- split: '254'
path: fm-16/254-*
- split: '255'
path: fm-16/255-*
- split: '256'
path: fm-16/256-*
- split: '257'
path: fm-16/257-*
- split: '258'
path: fm-16/258-*
- split: '259'
path: fm-16/259-*
- split: '260'
path: fm-16/260-*
- split: '261'
path: fm-16/261-*
- split: '262'
path: fm-16/262-*
- split: '263'
path: fm-16/263-*
- split: '264'
path: fm-16/264-*
- split: '265'
path: fm-16/265-*
- split: '266'
path: fm-16/266-*
- split: '267'
path: fm-16/267-*
- split: '268'
path: fm-16/268-*
- split: '269'
path: fm-16/269-*
- split: '270'
path: fm-16/270-*
- split: '271'
path: fm-16/271-*
- split: '272'
path: fm-16/272-*
- split: '273'
path: fm-16/273-*
- split: '274'
path: fm-16/274-*
- split: '275'
path: fm-16/275-*
- split: '276'
path: fm-16/276-*
- split: '277'
path: fm-16/277-*
- split: '278'
path: fm-16/278-*
- split: '279'
path: fm-16/279-*
- split: '280'
path: fm-16/280-*
- split: '281'
path: fm-16/281-*
- split: '282'
path: fm-16/282-*
- split: '283'
path: fm-16/283-*
- split: '284'
path: fm-16/284-*
- split: '285'
path: fm-16/285-*
- split: '286'
path: fm-16/286-*
- split: '287'
path: fm-16/287-*
- split: '288'
path: fm-16/288-*
- split: '289'
path: fm-16/289-*
- split: '290'
path: fm-16/290-*
- split: '291'
path: fm-16/291-*
- split: '292'
path: fm-16/292-*
- split: '293'
path: fm-16/293-*
- split: '294'
path: fm-16/294-*
- split: '295'
path: fm-16/295-*
- split: '296'
path: fm-16/296-*
- split: '297'
path: fm-16/297-*
- split: '298'
path: fm-16/298-*
- split: '299'
path: fm-16/299-*
- config_name: lm1b-2-32
data_files:
- split: '0'
path: lm1b-2-32/0-*
- split: '1'
path: lm1b-2-32/1-*
- split: '2'
path: lm1b-2-32/2-*
- split: '3'
path: lm1b-2-32/3-*
- split: '4'
path: lm1b-2-32/4-*
- split: '5'
path: lm1b-2-32/5-*
- split: '6'
path: lm1b-2-32/6-*
- split: '7'
path: lm1b-2-32/7-*
- split: '8'
path: lm1b-2-32/8-*
- split: '9'
path: lm1b-2-32/9-*
- split: '10'
path: lm1b-2-32/10-*
- split: '11'
path: lm1b-2-32/11-*
- split: '12'
path: lm1b-2-32/12-*
- split: '13'
path: lm1b-2-32/13-*
- split: '14'
path: lm1b-2-32/14-*
- split: '15'
path: lm1b-2-32/15-*
- split: '16'
path: lm1b-2-32/16-*
- split: '17'
path: lm1b-2-32/17-*
- split: '18'
path: lm1b-2-32/18-*
- split: '19'
path: lm1b-2-32/19-*
- split: '20'
path: lm1b-2-32/20-*
- split: '21'
path: lm1b-2-32/21-*
- split: '22'
path: lm1b-2-32/22-*
- split: '23'
path: lm1b-2-32/23-*
- split: '24'
path: lm1b-2-32/24-*
- split: '25'
path: lm1b-2-32/25-*
- split: '26'
path: lm1b-2-32/26-*
- split: '27'
path: lm1b-2-32/27-*
- split: '28'
path: lm1b-2-32/28-*
- split: '29'
path: lm1b-2-32/29-*
- split: '30'
path: lm1b-2-32/30-*
- split: '31'
path: lm1b-2-32/31-*
- split: '32'
path: lm1b-2-32/32-*
- split: '33'
path: lm1b-2-32/33-*
- split: '34'
path: lm1b-2-32/34-*
- split: '35'
path: lm1b-2-32/35-*
- split: '36'
path: lm1b-2-32/36-*
- split: '37'
path: lm1b-2-32/37-*
- split: '38'
path: lm1b-2-32/38-*
- split: '39'
path: lm1b-2-32/39-*
- split: '40'
path: lm1b-2-32/40-*
- split: '41'
path: lm1b-2-32/41-*
- split: '42'
path: lm1b-2-32/42-*
- split: '43'
path: lm1b-2-32/43-*
- split: '44'
path: lm1b-2-32/44-*
- split: '45'
path: lm1b-2-32/45-*
- split: '46'
path: lm1b-2-32/46-*
- split: '47'
path: lm1b-2-32/47-*
- split: '48'
path: lm1b-2-32/48-*
- split: '49'
path: lm1b-2-32/49-*
- split: '50'
path: lm1b-2-32/50-*
- split: '51'
path: lm1b-2-32/51-*
- split: '52'
path: lm1b-2-32/52-*
- split: '53'
path: lm1b-2-32/53-*
- split: '54'
path: lm1b-2-32/54-*
- split: '55'
path: lm1b-2-32/55-*
- split: '56'
path: lm1b-2-32/56-*
- split: '57'
path: lm1b-2-32/57-*
- split: '58'
path: lm1b-2-32/58-*
- split: '59'
path: lm1b-2-32/59-*
- split: '60'
path: lm1b-2-32/60-*
- split: '61'
path: lm1b-2-32/61-*
- split: '62'
path: lm1b-2-32/62-*
- split: '63'
path: lm1b-2-32/63-*
- split: '64'
path: lm1b-2-32/64-*
- split: '65'
path: lm1b-2-32/65-*
- split: '66'
path: lm1b-2-32/66-*
- split: '67'
path: lm1b-2-32/67-*
- split: '68'
path: lm1b-2-32/68-*
- split: '69'
path: lm1b-2-32/69-*
- split: '70'
path: lm1b-2-32/70-*
- split: '71'
path: lm1b-2-32/71-*
- split: '72'
path: lm1b-2-32/72-*
- split: '73'
path: lm1b-2-32/73-*
- split: '74'
path: lm1b-2-32/74-*
- split: '75'
path: lm1b-2-32/75-*
- split: '76'
path: lm1b-2-32/76-*
- split: '77'
path: lm1b-2-32/77-*
- split: '78'
path: lm1b-2-32/78-*
- split: '79'
path: lm1b-2-32/79-*
- split: '80'
path: lm1b-2-32/80-*
- split: '81'
path: lm1b-2-32/81-*
- split: '82'
path: lm1b-2-32/82-*
- split: '83'
path: lm1b-2-32/83-*
- split: '84'
path: lm1b-2-32/84-*
- split: '85'
path: lm1b-2-32/85-*
- split: '86'
path: lm1b-2-32/86-*
- split: '87'
path: lm1b-2-32/87-*
- split: '88'
path: lm1b-2-32/88-*
- split: '89'
path: lm1b-2-32/89-*
- split: '90'
path: lm1b-2-32/90-*
- split: '91'
path: lm1b-2-32/91-*
- split: '92'
path: lm1b-2-32/92-*
- split: '93'
path: lm1b-2-32/93-*
- split: '94'
path: lm1b-2-32/94-*
- split: '95'
path: lm1b-2-32/95-*
- split: '96'
path: lm1b-2-32/96-*
- split: '97'
path: lm1b-2-32/97-*
- split: '98'
path: lm1b-2-32/98-*
- split: '99'
path: lm1b-2-32/99-*
- split: '100'
path: lm1b-2-32/100-*
- split: '101'
path: lm1b-2-32/101-*
- split: '102'
path: lm1b-2-32/102-*
- split: '103'
path: lm1b-2-32/103-*
- split: '104'
path: lm1b-2-32/104-*
- split: '105'
path: lm1b-2-32/105-*
- split: '106'
path: lm1b-2-32/106-*
- split: '107'
path: lm1b-2-32/107-*
- split: '108'
path: lm1b-2-32/108-*
- split: '109'
path: lm1b-2-32/109-*
- split: '110'
path: lm1b-2-32/110-*
- split: '111'
path: lm1b-2-32/111-*
- split: '112'
path: lm1b-2-32/112-*
- split: '113'
path: lm1b-2-32/113-*
- split: '114'
path: lm1b-2-32/114-*
- split: '115'
path: lm1b-2-32/115-*
- split: '116'
path: lm1b-2-32/116-*
- split: '117'
path: lm1b-2-32/117-*
- split: '118'
path: lm1b-2-32/118-*
- split: '119'
path: lm1b-2-32/119-*
- split: '120'
path: lm1b-2-32/120-*
- split: '121'
path: lm1b-2-32/121-*
- split: '122'
path: lm1b-2-32/122-*
- split: '123'
path: lm1b-2-32/123-*
- split: '124'
path: lm1b-2-32/124-*
- split: '125'
path: lm1b-2-32/125-*
- split: '126'
path: lm1b-2-32/126-*
- split: '127'
path: lm1b-2-32/127-*
- split: '128'
path: lm1b-2-32/128-*
- split: '129'
path: lm1b-2-32/129-*
- split: '130'
path: lm1b-2-32/130-*
- split: '131'
path: lm1b-2-32/131-*
- split: '132'
path: lm1b-2-32/132-*
- split: '133'
path: lm1b-2-32/133-*
- split: '134'
path: lm1b-2-32/134-*
- split: '135'
path: lm1b-2-32/135-*
- split: '136'
path: lm1b-2-32/136-*
- split: '137'
path: lm1b-2-32/137-*
- split: '138'
path: lm1b-2-32/138-*
- split: '139'
path: lm1b-2-32/139-*
- split: '140'
path: lm1b-2-32/140-*
- split: '141'
path: lm1b-2-32/141-*
- split: '142'
path: lm1b-2-32/142-*
- split: '143'
path: lm1b-2-32/143-*
- split: '144'
path: lm1b-2-32/144-*
- split: '145'
path: lm1b-2-32/145-*
- split: '146'
path: lm1b-2-32/146-*
- split: '147'
path: lm1b-2-32/147-*
- split: '148'
path: lm1b-2-32/148-*
- split: '149'
path: lm1b-2-32/149-*
- split: '150'
path: lm1b-2-32/150-*
- split: '151'
path: lm1b-2-32/151-*
- split: '152'
path: lm1b-2-32/152-*
- split: '153'
path: lm1b-2-32/153-*
- split: '154'
path: lm1b-2-32/154-*
- split: '155'
path: lm1b-2-32/155-*
- split: '156'
path: lm1b-2-32/156-*
- split: '157'
path: lm1b-2-32/157-*
- split: '158'
path: lm1b-2-32/158-*
- split: '159'
path: lm1b-2-32/159-*
- split: '160'
path: lm1b-2-32/160-*
- split: '161'
path: lm1b-2-32/161-*
- split: '162'
path: lm1b-2-32/162-*
- split: '163'
path: lm1b-2-32/163-*
- split: '164'
path: lm1b-2-32/164-*
- split: '165'
path: lm1b-2-32/165-*
- split: '166'
path: lm1b-2-32/166-*
- split: '167'
path: lm1b-2-32/167-*
- split: '168'
path: lm1b-2-32/168-*
- split: '169'
path: lm1b-2-32/169-*
- split: '170'
path: lm1b-2-32/170-*
- split: '171'
path: lm1b-2-32/171-*
- split: '172'
path: lm1b-2-32/172-*
- split: '173'
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This is the dataset of trained neural network checkpoints used to meta-train the NiNo model from https://github.com/SamsungSAILMontreal/nino/.
It contains 1000 models in total:
- 300 small convnets with 3 layers and 16, 32 and 32 channels (14,378 parameters in each model), trained on FashionMNIST (FM-16)
- 300 small convnets with 3 layers and 16, 32 and 32 channels (14,666 parameters in each model), trained on CIFAR10 (C10-16)
- 200 small GPT2-based transformers with 3 layers, 24 hidden units and 3 heads (1,252,464 parameters in each model), trained on LM1B (LM1B-3-24)
- 200 small GPT2-based transformers with 2 layers, 32 hidden units and 2 heads (1,666,464 parameters in each model), trained on LM1B (LM1B-2-32)
Each model contains multiple checkpoints:
- 2688 checkpoints per each model in FM-16 (corresponding to every 4 steps of Adam)
- 2513 checkpoints per each model in C10-16 (corresponding to every 4 steps of Adam)
- 124 checkpoints per each model in LM1B-3-24 (corresponding to every 200 steps of Adam)
- 124 checkpoints per each model in LM1B-2-32 (corresponding to every 200 steps of Adam)
In total, there are 1,609,900 model checkpoints.
The dataset also contains the training loss for each checkpoint, for FM-16 and C10-16 it also contains training accuracy, test loss, test accuracy.
The dataset corresponds to the first 4 columns (in-distribution tasks) in Table 1 below.
This Table is from the Accelerating Training with Neuron Interaction and Nowcasting Networks paper, see https://arxiv.org/abs/2409.04434 for details.
Example
UPDATE: To train the NiNo model more efficiently we also uploaded the dataset in the mmap format (in the mmap branch), which is much faster to read for large arrays. See https://github.com/SamsungSAILMontreal/nino/blob/main/dataset/dataset.py#L123 for the dataset code and https://github.com/SamsungSAILMontreal/nino/blob/main/README.md#training-nino for the training script examples.
Download and access trajectories of the fm-16 task (other three datasets: 'c10-16', 'lm1b-3-24', 'lm1b-2-32'). The original trajectories was saved as float16, but when loading huggingface may convert it to float32 or float64 depending on the version.
from datasets import load_dataset
import numpy as np
# Load the 'fm-16' task
dataset = load_dataset('SamsungSAILMontreal/nino_metatrain', 'fm-16') # you can use streaming=True for checking out individual samples
# Once downloaded, access the t-th state in the i-th trajectory:
print(np.array(dataset[str(i)][t]['data']).shape) # (14378,)