Taksu commited on
Commit
031e3c1
·
unverified ·
1 Parent(s): d14ec08

Add goia0-forecast-nano-v0 model results

Browse files
results/goia-forecast-nano-v0/all_results.csv ADDED
@@ -0,0 +1,98 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ dataset,model,eval_metrics/MSE[mean],eval_metrics/MSE[0.5],eval_metrics/MAE[0.5],eval_metrics/MASE[0.5],eval_metrics/MAPE[0.5],eval_metrics/sMAPE[0.5],eval_metrics/MSIS,eval_metrics/RMSE[mean],eval_metrics/NRMSE[mean],eval_metrics/ND[0.5],eval_metrics/mean_weighted_sum_quantile_loss,domain,num_variates
2
+ loop_seattle/5T/short,goia-forecast-nano-v0,43.337466843234004,43.337466843234004,3.5929655124282442,0.5700483977649491,0.09593162930294702,0.07668635667794177,4.359828081221057,6.583119841172118,0.11288596860010537,0.0616114246440667,0.0488929885569911,Transport,1
3
+ loop_seattle/5T/medium,goia-forecast-nano-v0,79.37929066692466,79.37929066692466,5.272817307227167,0.8339894662416093,0.16841061744650573,0.12017698321337716,5.993352985390698,8.909505635383182,0.15851841500764993,0.09381425596130816,0.07397681737519905,Transport,1
4
+ loop_seattle/5T/long,goia-forecast-nano-v0,94.37572640752207,94.37572640752207,5.701185213851622,0.8968266839732988,0.18348928099200207,0.12872051713959115,6.302328437597069,9.71471700089725,0.17175819727427202,0.10079812871208174,0.07907195241375567,Transport,1
5
+ loop_seattle/D/short,goia-forecast-nano-v0,21.0359632997936,21.0359632997936,3.3713132498065015,1.0066201598615725,0.06295895414086687,0.061990230597191824,8.185964283439155,4.586497934131618,0.08196684278351651,0.060249869745814144,0.04803064266085509,Transport,1
6
+ loop_seattle/H/short,goia-forecast-nano-v0,73.43526373499539,73.43526373499539,5.004484093239096,1.0186179890160172,0.1568544174508446,0.11250750162370743,10.272211160329215,8.569437772397638,0.1516877629478372,0.0885844575774404,0.0729610557924451,Transport,1
7
+ loop_seattle/H/medium,goia-forecast-nano-v0,72.82258771929824,72.82258771929824,5.1473236745356035,1.0564160934972826,0.14981592451947884,0.11463239370821966,9.738656056936907,8.533615161190376,0.15083069290269063,0.09097836986550144,0.07456078750313158,Transport,1
8
+ loop_seattle/H/long,goia-forecast-nano-v0,78.61730306157551,78.61730306157551,5.172629106467149,1.0792152908043915,0.17914647698443412,0.11754156868656224,9.576936609116563,8.866639896915602,0.1584586891700828,0.09244178598692479,0.07538594559683813,Transport,1
9
+ m_dense/D/short,goia-forecast-nano-v0,13772.213333333333,13772.213333333333,64.72967592592593,0.9220013987695213,0.1573848738504216,0.13379396449674613,7.850021206770716,117.3550737434617,0.20315899173928054,0.1120566438010879,0.09119814398809543,Transport,1
10
+ m_dense/H/short,goia-forecast-nano-v0,47186.764444444445,47186.764444444445,94.75760416666667,0.8340222764180237,0.3080173527277561,0.22255459445397807,9.141418442246861,217.22514689704883,0.3853033052884634,0.16807638806172012,0.13900608649494958,Transport,1
11
+ m_dense/H/medium,goia-forecast-nano-v0,36877.43111111111,36877.43111111111,84.54381944444444,0.7293539614052444,0.2781011966718347,0.20196765820238666,7.52653014481638,192.03497366654625,0.3341166133234176,0.14709557374300916,0.1201932942463339,Transport,1
12
+ m_dense/H/long,goia-forecast-nano-v0,36626.6350617284,36626.6350617284,85.94320216049383,0.7475972866270502,0.2859054750147063,0.2041982190222855,7.428606582658214,191.38086388593922,0.33130860202662027,0.14878040355411098,0.1215257004975443,Transport,1
13
+ sz_taxi/15T/short,goia-forecast-nano-v0,16.978904938377596,16.978904938377596,2.759648212437519,0.5514094879928146,1090117697856.2172,0.39925540819430655,3.960023999373252,4.120546679553284,0.3852887588649592,0.25803892477423046,0.20329968441666024,Transport,1
14
+ sz_taxi/15T/medium,goia-forecast-nano-v0,16.579699185363246,16.579699185363246,2.770756335136218,0.5399704940052895,9566185247021.074,0.40568582854435586,3.8135525903460974,4.0718176758498466,0.378950570060022,0.25786510504258797,0.20357562256840797,Transport,1
15
+ sz_taxi/15T/long,goia-forecast-nano-v0,15.672607282763533,15.672607282763533,2.710084468482906,0.5118964979632473,6195880052993.896,0.39956284104691975,4.0068543352707096,3.958864393075814,0.366425436229864,0.25084059088270233,0.2000075181057278,Transport,1
16
+ sz_taxi/H/short,goia-forecast-nano-v0,7.388792901976496,7.388792901976496,1.879367926181891,0.5735009190165128,1.104642558301616,0.30008393050197674,4.3030414538814865,2.7182334156537213,0.2532202165815201,0.17507471969241856,0.1386475957140657,Transport,1
17
+ bitbrains_fast_storage/5T/short,goia-forecast-nano-v0,1989382.313606352,1989382.313606352,173.4768738605043,0.79765851039929,2.454301915299399,0.7662449762867883,14.31556312875936,1410.454647837481,4.4284787129728596,0.5446744737678663,0.4255338911452475,Web/CloudOps,2
18
+ bitbrains_fast_storage/5T/medium,goia-forecast-nano-v0,3148729.078702137,3148729.078702137,295.5825791884284,1.0088210062957848,4.679308664742978,0.8136810566089648,21.722262142331058,1774.4658572940018,5.391317449117568,0.8980615266747946,0.6483489395328774,Web/CloudOps,2
19
+ bitbrains_fast_storage/5T/long,goia-forecast-nano-v0,5241542.307006123,5241542.307006123,413.9877633608503,0.9305505659064947,5.203226857761187,0.82668504824228,16.3617488542554,2289.4414836387764,6.050310235702518,1.094046045735467,0.7480450629489716,Web/CloudOps,2
20
+ bitbrains_fast_storage/H/short,goia-forecast-nano-v0,2502569.769529342,2502569.769529342,291.3982897634287,1.200267565604401,4.3188693123741775,0.5967533554735361,20.21752623776482,1581.9512538410727,4.5090748828950655,0.830579770457868,0.6404493068115865,Web/CloudOps,2
21
+ bitbrains_rnd/5T/short,goia-forecast-nano-v0,1648860.6750932175,1648860.6750932175,125.93691562042763,1.7414598653578413,1.1631133337206252,0.6942474278548977,54.45342564579406,1284.0796996655688,5.254083385218991,0.5152974975925142,0.42013721170832563,Web/CloudOps,2
22
+ bitbrains_rnd/5T/medium,goia-forecast-nano-v0,2246261.497698401,2246261.497698401,151.04335174045113,4.447866927745794,0.5735044475243766,0.7327359454708741,161.2913869828404,1498.7533144912145,6.306019054466103,0.6355163621099662,0.6019221173579035,Web/CloudOps,2
23
+ bitbrains_rnd/5T/long,goia-forecast-nano-v0,2414578.6840962577,2414578.6840962577,188.12420293241095,3.371408096710215,2.1048434559069356,0.7244575011741489,116.6978421640258,1553.8914647092497,5.952608373935251,0.7206614690588423,0.6435005310174295,Web/CloudOps,2
24
+ bitbrains_rnd/H/short,goia-forecast-nano-v0,1948270.3175482715,1948270.3175482715,184.22626912748817,5.880132868217842,2.722767881867523,0.6044620891173691,194.4327497565773,1395.8045413123828,6.1087238630237355,0.8062643250585734,0.701730992090057,Web/CloudOps,2
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+ bizitobs_application/10S/short,goia-forecast-nano-v0,3437473.28,3437473.28,856.169375,2.6320852910911112,0.038252254062228735,0.03838141106570427,30.951704180333195,1854.0424159117827,0.07150300516238534,0.033019030586954,0.028157891532994885,Web/CloudOps,2
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+ bizitobs_application/10S/medium,goia-forecast-nano-v0,12831847.253333334,12831847.253333334,1863.9366666666667,6.1188847193921605,0.08916325887044271,0.08308672697405685,69.4464993535134,3582.156787932842,0.14066075414474943,0.0731913070066042,0.064057471612645,Web/CloudOps,2
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+ bizitobs_application/10S/long,goia-forecast-nano-v0,13383059.91111111,13383059.91111111,2136.1744444444444,7.157198164359369,0.1010976325141059,0.09685508501547566,107.64719609780447,3658.2864719853624,0.14108548663554416,0.08238370978894284,0.07266443388250282,Web/CloudOps,2
28
+ bizitobs_l2c/5T/short,goia-forecast-nano-v0,20.06600632440476,20.06600632440476,2.703056408110119,0.2799335321356884,0.15424074192454446,0.21334344571766561,2.929904823099789,4.479509607580361,0.15384449161084363,0.09283389820113787,0.07429967201263603,Web/CloudOps,7
29
+ bizitobs_l2c/5T/medium,goia-forecast-nano-v0,144.1954081632653,144.1954081632653,8.172437021683674,0.7999732858091833,0.5492669717349363,0.8535930668067565,7.193650351126977,12.008139246497157,0.6318047117008313,0.42999036823163445,0.33999885632100685,Web/CloudOps,7
30
+ bizitobs_l2c/5T/long,goia-forecast-nano-v0,303.0209523809524,303.0209523809524,12.642030009920635,1.209130159212666,0.8963362665425452,1.128122712069538,8.557746758862448,17.40749701654297,0.9774049332240988,0.7098310851882277,0.5504060329693679,Web/CloudOps,7
31
+ bizitobs_l2c/H/short,goia-forecast-nano-v0,118.83034164186508,118.83034164186508,6.688200451078869,0.68314964534065,0.548128965089647,0.7457174794573567,5.405182426534703,10.900933062901775,0.5875882098624753,0.3605111330905384,0.2902234994189753,Web/CloudOps,7
32
+ bizitobs_l2c/H/medium,goia-forecast-nano-v0,115.05127418154763,115.05127418154763,6.6716064453125,0.6764578477659474,0.6399522795770014,0.8375349325196533,5.4687595083638785,10.726195699386974,0.6494874417535653,0.4039759038519371,0.3310123693520388,Web/CloudOps,7
33
+ bizitobs_l2c/H/long,goia-forecast-nano-v0,103.05572916666667,103.05572916666667,6.664439174107143,0.7058438842634154,0.7542713817927718,0.8152813219974131,5.434426072305338,10.151636772790221,0.6200912735100444,0.40708317951041845,0.3332006995558974,Web/CloudOps,7
34
+ bizitobs_service/10S/short,goia-forecast-nano-v0,14095.705396825397,14095.705396825397,37.07429563492064,1.5188613874656234,0.10714172040343915,0.08627809147316112,14.516420405875825,118.72533595162153,0.0879555244265489,0.027465823441789303,0.023163289355544268,Web/CloudOps,2
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+ bizitobs_service/10S/medium,goia-forecast-nano-v0,78067.04253968254,78067.04253968254,85.19715277777777,3.0136555254776787,0.4571614970858135,0.12516289159335636,20.543367802702182,279.4048004950569,0.21028663705736353,0.06412138486080973,0.04883578703800357,Web/CloudOps,2
36
+ bizitobs_service/10S/long,goia-forecast-nano-v0,168189.77862433862,168189.77862433862,115.21261904761904,3.355786358627434,0.41242463934358464,0.14325302193020945,36.353796867985075,410.10947151259336,0.30382220736678667,0.0853531914453271,0.07487816201968017,Web/CloudOps,2
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+ car_parts/M/short,goia-forecast-nano-v0,1.3297035133156054,1.3297035133156054,0.5229837299264315,0.9175294404667047,0.7237044005489549,1.8348413623587356,14.88681799478514,1.1531277090225547,2.7650819578887447,1.2540613364626474,1.0667994979870903,Sales,1
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+ covid_deaths/D/short,goia-forecast-nano-v0,471073.3954887218,471073.3954887218,117.28945802005012,31.181136733379713,0.08649936149461813,0.3581452261886856,576.0229492606936,686.3478676944526,0.2582417253728804,0.04413072937618829,0.03832389010170314,Healthcare,1
39
+ electricity/15T/short,goia-forecast-nano-v0,168402.14835585587,168402.14835585587,61.018285824887386,1.1470502744309425,0.19535983979686555,0.18539243191125213,11.989063059746915,410.3683081767595,0.8089168270683555,0.12027906926320794,0.09899735726928544,Energy,1
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+ electricity/15T/medium,goia-forecast-nano-v0,292526.8024324324,292526.8024324324,59.79764611486487,0.9245176932676143,0.1618996259929057,0.14804930633319718,7.889566277406281,540.857469609538,0.9319518799396641,0.10303736537640357,0.08280201874817787,Energy,1
41
+ electricity/15T/long,goia-forecast-nano-v0,368727.7355675676,368727.7355675676,64.50120833333334,0.9576254836155113,0.1627073268199426,0.14691877275917753,7.802243426207867,607.2295575542807,0.9579790389231745,0.10175856033329962,0.08161510996613267,Energy,1
42
+ electricity/D/short,goia-forecast-nano-v0,1791022107.2328649,1791022107.2328649,4908.83618018018,1.6360165994981155,0.6446917832432848,0.11415342478856547,12.564494759194696,42320.46912822287,0.6954658939912047,0.08066848531763282,0.06305062084017134,Energy,1
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+ electricity/H/short,goia-forecast-nano-v0,1869635.3311711713,1869635.3311711713,197.63274774774774,1.0577171727517602,0.1924670575952727,0.141417911424252,11.896243166017374,1367.346090487398,0.6454849987668381,0.0932967701620949,0.07677760655047965,Energy,1
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+ electricity/H/medium,goia-forecast-nano-v0,5636993.447207207,5636993.447207207,246.67875,1.1082294257661995,0.2655188024174314,0.13563091889445997,9.608988217233044,2374.235339473997,0.9267423104924943,0.09628684693702165,0.07753286403686183,Energy,1
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+ electricity/H/long,goia-forecast-nano-v0,8734600.145873874,8734600.145873874,283.0758678678679,1.2256898171086823,0.3181028842013002,0.14739243058267898,10.597731674649573,2955.4356947620895,1.1656229638739533,0.11164503856068411,0.08904301931684833,Energy,1
46
+ electricity/W/short,goia-forecast-nano-v0,82369801789.809,82369801789.809,35836.21981981982,1.7374821035181753,0.2561843054635184,0.10870726769383074,13.883564689819911,287001.3968429579,0.6548424768244061,0.08176642763754721,0.06643498630649651,Energy,1
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+ ett1/15T/short,goia-forecast-nano-v0,4.562818836030506,4.562818836030506,1.052706255231585,0.685474300527019,0.48293280360100876,0.23422836687347606,4.925770729805599,2.1360755688950954,0.40380719700139167,0.1990053013015732,0.15851329372934633,Energy,7
48
+ ett1/15T/medium,goia-forecast-nano-v0,9.942990451388889,9.942990451388889,1.6124875992063492,1.0062707098927604,0.7677890899918487,0.38699162747403854,7.005894841827463,3.1532507752141896,0.6010127155092863,0.3073417307439584,0.23861188406174513,Energy,7
49
+ ett1/15T/long,goia-forecast-nano-v0,9.431083829365079,9.431083829365079,1.5909530009920634,1.0129479304788211,0.8222450837740313,0.38708440539416294,7.553104519577259,3.071006973187309,0.5853369655250098,0.3032372150321403,0.23731113250142943,Energy,7
50
+ ett1/D/short,goia-forecast-nano-v0,44390.77142857143,44390.77142857143,139.67404513888889,1.7021259632943888,1.680447242373512,0.4652973729122976,11.013858110278212,210.6911754881334,0.5533873611172732,0.36685851259270225,0.28412075279217425,Energy,7
51
+ ett1/H/short,goia-forecast-nano-v0,102.00663132440476,102.00663132440476,5.087384905133929,0.8458129909171002,0.49009410313197543,0.27257027302421755,6.35479558744096,10.099833232504622,0.47140053709016516,0.23744906687630649,0.188599164404096,Energy,7
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+ ett1/H/medium,goia-forecast-nano-v0,139.6405784970238,139.6405784970238,7.086839076450893,1.3379968237579978,4989337173916.03,0.450124484901508,10.056090839664298,11.816961474804925,0.5660045056702034,0.33944283027266836,0.26743150892810497,Energy,7
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+ ett1/H/long,goia-forecast-nano-v0,142.20666335978837,142.20666335978837,7.06558986441799,1.3613795131663955,2615008976516.174,0.47181837308925895,9.91868257906114,11.92504353701857,0.5710645071366636,0.33835579560177004,0.2694518455843153,Energy,7
54
+ ett1/W/short,goia-forecast-nano-v0,1731949.7142857143,1731949.7142857143,994.513671875,1.685254652847091,0.6890170233590263,0.5929838298242942,10.435641234966072,1316.0356052499926,0.52368197813639,0.3957407268416969,0.30249552235415295,Energy,7
55
+ ett2/15T/short,goia-forecast-nano-v0,7.6631649925595235,7.6631649925595235,1.7531018938337053,0.7529557627018858,0.10510166476517736,0.1275220404127399,5.358251091947523,2.76824222071688,0.13141830611701288,0.08322598348293737,0.0659403188197195,Energy,7
56
+ ett2/15T/medium,goia-forecast-nano-v0,12.138648313492064,12.138648313492064,2.172680431547619,0.8898303093882229,0.13219898714139242,0.15946733152176307,6.599759990945509,3.4840563017109907,0.1856716546471356,0.11578606538212088,0.09118161651751662,Energy,7
57
+ ett2/15T/long,goia-forecast-nano-v0,11.61834449404762,11.61834449404762,2.168355189732143,0.8953480025405102,0.1341191854588212,0.161746818173889,7.150065762092237,3.408569273763938,0.1816488145522609,0.11555556543175152,0.09241872284547167,Energy,7
58
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results/goia-forecast-nano-v0/config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "model": "goia-forecast-nano-v0",
3
+ "model_type": "zero-shot",
4
+ "model_dtype": "float32",
5
+ "model_link": "https://huggingface.co/gredio/goia-forecast-nano-v0",
6
+ "code_link": "https://github.com/gredio/goia-forecast",
7
+ "org": "Gredio",
8
+ "testdata_leakage": "No",
9
+ "replication_code_available": "Yes"
10
+ }