Time Series Forecasting
Chronos
Safetensors
PEFT
Turkish
English
fine-tuned
time-series
chronos
chronos-2
turkish
lora
gift-eval
Instructions to use Verm1ion/turkforecast-fm-chronos2-lora-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Chronos
How to use Verm1ion/turkforecast-fm-chronos2-lora-v1 with Chronos:
pip install chronos-forecasting
import pandas as pd from chronos import BaseChronosPipeline pipeline = BaseChronosPipeline.from_pretrained("Verm1ion/turkforecast-fm-chronos2-lora-v1", device_map="cuda") # Load historical data context_df = pd.read_csv("https://autogluon.s3.us-west-2.amazonaws.com/datasets/timeseries/misc/AirPassengers.csv") # Generate predictions pred_df = pipeline.predict_df( context_df, prediction_length=36, # Number of steps to forecast quantile_levels=[0.1, 0.5, 0.9], # Quantiles for probabilistic forecast id_column="item_id", # Column identifying different time series timestamp_column="Month", # Column with datetime information target="#Passengers", # Column(s) with time series values to predict ) - PEFT
How to use Verm1ion/turkforecast-fm-chronos2-lora-v1 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
| 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 | |
| bitbrains_fast_storage/5T/long,TurkForecast-FM-Chronos2-LoRA-v1,4145797.488463595,4145797.488463595,357.97367393467607,0.8711999929238592,3.7828414394588368,0.8360760492923797,15.432955463966756,2036.1231515955992,5.380865066630999,0.946017452499958,0.7026061445524241,Web/CloudOps,2 | |
| bitbrains_fast_storage/5T/medium,TurkForecast-FM-Chronos2-LoRA-v1,2854813.8535229373,2854813.8535229373,267.82598383026493,0.9588490240362445,3.4515445017801873,0.8189011494265185,20.728725080171767,1689.6194404430062,5.133530703852618,0.8137293395024578,0.6233457308991365,Web/CloudOps,2 | |
| bitbrains_fast_storage/5T/short,TurkForecast-FM-Chronos2-LoRA-v1,13813272.941630358,13813272.883602723,1034.2030676695697,0.588926849642918,5.559348561258853,0.9853327063081376,9.442299719640902,3716.621172736113,3.2419222578401636,0.9021113079100637,0.5921277160771736,Web/CloudOps,2 | |
| bitbrains_fast_storage/H/short,TurkForecast-FM-Chronos2-LoRA-v1,25593343.002852045,25593343.913878936,1653.2433231962495,1.0045046730749456,0.8551940633444735,0.6120406795293092,68.34015839793562,5058.986361204391,1.557192216177352,0.5088801310949449,0.37188517283298544,Web/CloudOps,2 | |
| bitbrains_rnd/5T/long,TurkForecast-FM-Chronos2-LoRA-v1,2314407.0498213544,2314407.0498213544,165.33585963632635,3.2753978851024095,1.2795751991636328,0.7092483613458547,115.21846073163633,1521.3175374724879,5.8278244831833454,0.6333644009242041,0.8730126297517127,Web/CloudOps,2 | |
| bitbrains_rnd/5T/medium,TurkForecast-FM-Chronos2-LoRA-v1,2303161.976669191,2303161.976669191,157.1222612676236,4.359229717604128,0.8530047134127788,0.7383417746560365,159.03573459737711,1517.617203602144,6.385389278797625,0.6610934563586716,1.004565433626743,Web/CloudOps,2 | |
| bitbrains_rnd/5T/short,TurkForecast-FM-Chronos2-LoRA-v1,1650925.5809867298,1650925.6655343752,137.05585308562328,0.34207670591305334,0.5613496402894474,0.6412752145528795,84.36733568344327,1284.8834892653613,3.2752733665495857,0.349366601078879,0.31943693854230404,Web/CloudOps,2 | |
| bitbrains_rnd/H/short,TurkForecast-FM-Chronos2-LoRA-v1,8212963.009784802,8212963.129132655,581.9444275650674,2.8112009545430268,3.8871269629077685,0.5803074897018572,152.45237452104334,2865.8267585087556,4.236042934741475,0.8601851214484488,0.7198871910519904,Web/CloudOps,2 | |
| bizitobs_application/10S/long,TurkForecast-FM-Chronos2-LoRA-v1,5508385.564444444,5508385.564444444,1444.5294444444444,2.9496631708273595,0.04264470418294271,0.043645833333333335,21.627569590086416,2346.995007332662,0.09051421622566853,0.0557097267230176,0.04539597373122299,Web/CloudOps,2 | |
| bizitobs_application/10S/medium,TurkForecast-FM-Chronos2-LoRA-v1,2196085.12,2196085.12,830.188125,1.8026079477842636,0.02545076847076416,0.02595753033955892,17.99670644890125,1481.9194040162913,0.05819061344630824,0.032599044279103956,0.025662633137848945,Web/CloudOps,2 | |
| bizitobs_application/10S/short,TurkForecast-FM-Chronos2-LoRA-v1,347597.08444444445,347597.08444444445,322.35493055555554,1.003902166736118,0.01409513579474555,0.014232810338338215,6.047178036464015,589.5736463279583,0.022737498945655292,0.012431941182046274,0.009567255598719189,Web/CloudOps,2 | |
| bizitobs_l2c/5T/long,TurkForecast-FM-Chronos2-LoRA-v1,96.63757936507936,96.63757936507936,6.570953621031746,0.6471512945825063,0.550500069975595,0.811466548859127,5.148691017725035,9.830441463387052,0.5519645916327948,0.36894922222762233,0.2977954916750903,Web/CloudOps,7 | |
| bizitobs_l2c/5T/medium,TurkForecast-FM-Chronos2-LoRA-v1,81.7203762755102,81.7203762755102,5.994177163052721,0.5826103672409443,0.44157504104487144,0.6657834007626489,4.4808924084573665,9.03993231586997,0.47563337777660464,0.3153818669691863,0.24720505695342634,Web/CloudOps,7 | |
| bizitobs_l2c/5T/short,TurkForecast-FM-Chronos2-LoRA-v1,1.2736444473266602,1.2736444379370748,1.0646353562672932,1.4394779156694748,0.10427936911582947,0.11074050267537434,6.496190051243036,1.128558570623014,0.11208759513494355,0.105738789182876,0.08656550336132517,Web/CloudOps,7 | |
| bizitobs_l2c/H/long,TurkForecast-FM-Chronos2-LoRA-v1,85.68464781746032,85.68464781746032,5.357755921378968,0.5712635894958724,0.6297144659223869,0.7843813941592261,5.135881343364576,9.256600229968901,0.5654198582399772,0.3272671951136721,0.2672670630808577,Web/CloudOps,7 | |
| bizitobs_l2c/H/medium,TurkForecast-FM-Chronos2-LoRA-v1,76.57036830357143,76.57036830357143,4.936408923921131,0.4979993374385745,0.4964170399098629,0.7691191173735119,3.3091562434700794,8.750449605795774,0.5298530148006348,0.29890705831800585,0.2359357980831375,Web/CloudOps,7 | |
| bizitobs_l2c/H/short,TurkForecast-FM-Chronos2-LoRA-v1,10.819485982259115,10.819486312630715,3.180017352104187,0.4174540700545407,0.11202432711919148,0.11910935242970784,5.936501370052949,3.289298706754848,0.11661674936909298,0.11274236045511557,0.10096949785902391,Web/CloudOps,7 | |
| bizitobs_service/10S/long,TurkForecast-FM-Chronos2-LoRA-v1,131188.08042328042,131188.08042328042,76.91575396825397,1.3255743262231172,0.07917331917576058,0.07955421730324073,18.17709193096694,362.1989514386816,0.2683285624352049,0.056981649474530625,0.0511030149757811,Web/CloudOps,2 | |
| bizitobs_service/10S/medium,TurkForecast-FM-Chronos2-LoRA-v1,37981.88444444445,37981.88444444445,39.59513888888889,0.9790487780830548,0.06515108623201885,0.0587854488312252,10.441729982856108,194.8894159374604,0.1466783495022143,0.029800231031514076,0.02211947431703989,Web/CloudOps,2 | |
| bizitobs_service/10S/short,TurkForecast-FM-Chronos2-LoRA-v1,1836.175238095238,1836.175238095238,17.853725198412697,0.71692567427202,0.05574358258928572,0.04660181439112103,5.53490701103776,42.85061537592241,0.03174510577022393,0.013226610396232215,0.010125705005055306,Web/CloudOps,2 | |
| car_parts/M/short,TurkForecast-FM-Chronos2-LoRA-v1,1.3728812440578502,1.3728812440578502,0.45334444113171746,0.8359773797258253,0.8484361781497719,1.903766687321476,15.376365499809188,1.1717001510872354,2.8096167687905766,1.0870734655617833,0.9660464513713963,Sales,1 | |
| covid_deaths/D/short,TurkForecast-FM-Chronos2-LoRA-v1,491285.0026464259,491284.9982696425,122.913200165987,6.563407122049355,0.20629658011926547,0.426425896068414,685.956905261619,700.9172580600551,0.6526357037845437,0.11444652300999619,0.07383022747641926,Healthcare,1 | |
| electricity/15T/long,TurkForecast-FM-Chronos2-LoRA-v1,311064.08655255253,311064.08655255253,56.517862706456455,0.8554108103088559,0.12106029066856129,0.1287547336154514,7.247739954641148,557.7311956064073,0.8798893135132914,0.08916385493544576,0.07167304284461921,Energy,1 | |
| electricity/15T/medium,TurkForecast-FM-Chronos2-LoRA-v1,259282.1163963964,259282.1163963964,51.24800267454955,0.8041393284984164,0.11774989078055213,0.12681871816274282,7.066440269952036,509.1975219857186,0.877398605698191,0.08830546919418839,0.07142175805937691,Energy,1 | |
| electricity/15T/short,TurkForecast-FM-Chronos2-LoRA-v1,569.8243161101515,569.8243035120253,8.120091214478016,0.3150890824201111,0.08711830541374636,0.10244774495561919,3.94900938246791,23.87099319488302,0.23364175680615715,0.07947689183789908,0.06406816925927099,Energy,1 | |
| electricity/D/short,TurkForecast-FM-Chronos2-LoRA-v1,1275285.582471354,1275285.5738211996,526.654396891276,1.1762035837391729,0.08917937111854553,0.08296761306126912,14.123542326924964,1129.2854300270387,0.12227264799314491,0.05702316311373778,0.04595426245846068,Energy,1 | |
| electricity/H/long,TurkForecast-FM-Chronos2-LoRA-v1,9137662.634666666,9137662.634666666,282.3887507507508,1.1925033326651895,0.29071461624112027,0.14178493337087086,9.865966042933266,3022.856700981154,1.1922137887853903,0.11137403977292432,0.08775034376303065,Energy,1 | |
| electricity/H/medium,TurkForecast-FM-Chronos2-LoRA-v1,6055900.268108108,6055900.268108108,244.40511542792794,1.0691861062780872,0.23166439194444644,0.12954365223377676,8.94221628330075,2460.8738830155658,0.9605601728525409,0.09539937074459606,0.07593499533151156,Energy,1 | |
| electricity/H/short,TurkForecast-FM-Chronos2-LoRA-v1,4472.552361089108,4472.552346311361,27.981416455904647,0.8275140821788405,0.06793394207954406,0.06848514009267091,10.60395634424436,66.87714378686569,0.13920573328679325,0.05824371919376945,0.0470979880074406,Energy,1 | |
| electricity/W/short,TurkForecast-FM-Chronos2-LoRA-v1,222573686.08339843,222573689.1091473,5583.665745239257,1.9659352960831997,0.08884189989417791,0.08592616360634565,19.10817636397229,14918.903648840904,0.2205613919194663,0.0825490344235387,0.06301357361198406,Energy,1 | |
| ett1/15T/long,TurkForecast-FM-Chronos2-LoRA-v1,8.841597222222223,8.841597222222223,1.5811059957837301,1.0133727405348167,0.7827073009652279,0.38617210751488096,8.330647018479825,2.9734823393156757,0.5667486738823136,0.30136036610327815,0.24113485656719547,Energy,7 | |
| ett1/15T/medium,TurkForecast-FM-Chronos2-LoRA-v1,9.473058655753968,9.473058655753968,1.5767613777281746,0.9859937447971706,0.7630063625767908,0.37749449714781746,7.507395887777427,3.077833435349283,0.5866380266337106,0.30053224208922674,0.23303125605934719,Energy,7 | |
| ett1/15T/short,TurkForecast-FM-Chronos2-LoRA-v1,1.3306454022725422,1.3306454932582692,0.9806562662124634,0.15421073829264542,0.07204935948053996,0.0705514947573344,1.2806436084867998,1.1535360429013661,0.07875253821211252,0.0669499437685042,0.05154629569143616,Energy,7 | |
| ett1/D/short,TurkForecast-FM-Chronos2-LoRA-v1,101586.18333333333,101586.18377739613,229.63846435546876,1.0104384777211877,0.6325628916422527,0.30530134836832684,9.502404524203746,318.72587490402054,0.3697031215187246,0.2663670014686541,0.21383860221449835,Energy,7 | |
| ett1/H/long,TurkForecast-FM-Chronos2-LoRA-v1,149.0723544973545,149.0723544973545,7.340656001984127,1.380466540478325,3420950115626.8896,0.46889803447420636,10.575395748311882,12.209519011711906,0.5846874214886253,0.3515281171779196,0.2751785632214682,Energy,7 | |
| ett1/H/medium,TurkForecast-FM-Chronos2-LoRA-v1,140.37652529761905,140.37652529761905,6.97626720610119,1.273777521133431,3687778958273.7476,0.4353119623093378,9.667693706636634,11.848059980335137,0.5674939873309317,0.33414666198916376,0.26059463857135295,Energy,7 | |
| ett1/H/short,TurkForecast-FM-Chronos2-LoRA-v1,46.82054646809896,46.82054610332542,5.481607939427097,0.5203337299979017,0.46396485964457196,0.27803532282511395,5.72945504791593,6.842554089526729,0.17321679387210695,0.1387649353196062,0.12435096037766329,Energy,7 | |
| ett1/W/short,TurkForecast-FM-Chronos2-LoRA-v1,3257778.5,3257778.3278597593,1659.533203125,1.9389318805161724,0.30396950244903564,0.36307257413864136,7.81223266516236,1804.9317161599217,0.3414852668209104,0.3139764976112199,0.25964838913004357,Energy,7 | |
| ett2/15T/long,TurkForecast-FM-Chronos2-LoRA-v1,11.688671875,11.688671875,2.136253410218254,0.8903270215343758,0.1369816222269947,0.16666164822048612,7.1919007730020015,3.4188699704727,0.1821977572892066,0.11384480360607892,0.09289448313644817,Energy,7 | |
| ett2/15T/medium,TurkForecast-FM-Chronos2-LoRA-v1,11.215238095238096,11.215238095238096,2.059312220982143,0.8487085901964821,0.1280561590255245,0.1561493694971478,6.484077334641768,3.348915958222615,0.17846978159682161,0.1097444686290088,0.08738895504218223,Energy,7 | |
| ett2/15T/short,TurkForecast-FM-Chronos2-LoRA-v1,3.613638242085775,3.613638165747337,1.559729019800822,0.338607453936347,0.040238626301288605,0.04116901755332947,3.000119502859451,1.900957191018718,0.048909836594654164,0.04013035536192807,0.03491420690368861,Energy,7 | |
| ett2/D/short,TurkForecast-FM-Chronos2-LoRA-v1,1453196.1333333333,1453196.3842504784,1015.4501831054688,1.9556510338798445,0.41218064626057943,0.3139926910400391,10.726402142785142,1205.4858494952703,0.38872174266984294,0.32744268136101906,0.2467312340221731,Energy,7 | |
| ett2/H/long,TurkForecast-FM-Chronos2-LoRA-v1,241.76742724867725,241.76742724867725,9.487003968253969,1.0480351820112475,0.1770615728432216,0.17451640134135252,8.920745325257933,15.548872217903048,0.21292983772830115,0.129917217607728,0.10505843968023981,Energy,7 | |
| ett2/H/medium,TurkForecast-FM-Chronos2-LoRA-v1,272.4251302083333,272.4251302083333,10.183489118303571,1.0901769049896204,0.17723347685298205,0.17325506664457777,7.853810714208072,16.505306122830117,0.222419600232226,0.13722905602637375,0.10911511025055304,Energy,7 | |
| ett2/H/short,TurkForecast-FM-Chronos2-LoRA-v1,396.9031168619792,396.90310122145576,16.641751130421955,1.0860030503952955,0.12323339780171712,0.13402499755223593,11.681531905437081,19.922427484169173,0.15635482934961312,0.13060748920779222,0.11914640270252806,Energy,7 | |
| ett2/W/short,TurkForecast-FM-Chronos2-LoRA-v1,6730791.5,6730791.563088894,2180.902099609375,0.930140857732958,0.08886271715164185,0.09150855243206024,7.36636469394322,2594.3769001438477,0.1096472154994495,0.092172360340478,0.07182691419267503,Energy,7 | |
| hierarchical_sales/D/short,TurkForecast-FM-Chronos2-LoRA-v1,15.962049570719405,15.96204936576941,2.0124655214796463,0.6085223460366644,0.6490006909072094,0.8574259389241538,6.215149481322569,3.9952533800397947,1.2574234305622518,0.6333819254075985,0.5227454262865514,Sales,1 | |
| hierarchical_sales/W/short,TurkForecast-FM-Chronos2-LoRA-v1,2273.937395029068,2273.9373672110833,14.748539578318596,0.8621687897941697,0.3723561361077286,0.3818073506653309,15.098166516357756,47.68581964304554,1.5229004277220133,0.4710112363468863,0.4190792956647283,Sales,1 | |
| hospital/M/short,TurkForecast-FM-Chronos2-LoRA-v1,470.5620562744141,470.5620569230814,10.562214560508728,0.8597670915810088,0.19844381084044777,0.18869929820299147,6.730573888348339,21.69244237688357,0.17702335871457134,0.0861940138501225,0.07408859311123023,Healthcare,1 | |
| jena_weather/10T/long,TurkForecast-FM-Chronos2-LoRA-v1,1327.8632275132275,1327.8632275132275,9.587346023478837,0.6918561732061718,0.8754758130744825,0.6431797572544643,6.041743119123887,36.439857676906854,0.2229817375208641,0.058666614273958986,0.051384381593606226,Nature,21 | |
| jena_weather/10T/medium,TurkForecast-FM-Chronos2-LoRA-v1,1531.8712842712844,1531.8712842712844,9.632253336940837,0.6057200244714774,0.7589422149086217,0.6483931812545094,5.420471604944751,39.139127280399144,0.24019612843487564,0.05911296751871536,0.04960599787793978,Nature,21 | |
| jena_weather/10T/short,TurkForecast-FM-Chronos2-LoRA-v1,1.3645008405049641,1.3645009097332756,1.0,0.8509935845199619,0.0010151021803418796,0.0010156806092709303,12.622284821156684,1.1681185044784472,0.0011862443529446947,0.001015517131521121,0.0008763931003529948,Nature,21 | |
| jena_weather/D/short,TurkForecast-FM-Chronos2-LoRA-v1,89.5066650390625,89.5066698388507,7.867331949869792,0.8993278589429283,0.007972535987695059,0.007961899042129517,8.494469734964305,9.46079621591452,0.009560837684293099,0.0079505236202667,0.005785124574119025,Nature,21 | |
| jena_weather/H/long,TurkForecast-FM-Chronos2-LoRA-v1,1441.8238095238096,1441.8238095238096,12.078509424603174,1.0084402648660813,2.5280535480459307,0.6797292235036375,8.152702147613358,37.971355118349535,0.22862965001289043,0.07272601606704138,0.058572540522816546,Nature,21 | |
| jena_weather/H/medium,TurkForecast-FM-Chronos2-LoRA-v1,1267.605257936508,1267.605257936508,10.338327752976191,0.7856590893334519,2.5514887758105416,0.6837812635633681,5.938333913704131,35.60344446730552,0.2178637745444152,0.06326205625438838,0.05033272427534201,Nature,21 | |
| jena_weather/H/short,TurkForecast-FM-Chronos2-LoRA-v1,10.323766708374023,10.323766503250226,2.909234364827474,0.6440790394692644,0.0028915448735157647,0.0028965684274832406,5.333898880951799,3.213061889907199,0.0031956993184635743,0.002893513600261988,0.0021862307638049923,Nature,21 | |
| kdd_cup_2018/D/short,TurkForecast-FM-Chronos2-LoRA-v1,888.1717393010457,888.1717487821784,18.151811396737894,0.7474060642847339,0.9717535470326741,0.5521157620747883,30.506405841780765,29.80221030898624,0.8732675999443503,0.5318863562221008,0.43228357980770915,Nature,1 | |
| kdd_cup_2018/H/long,TurkForecast-FM-Chronos2-LoRA-v1,4165.433668656734,4165.433668656734,24.78768872926688,1.046908916534262,1.0979405344428492,0.6230810785178198,7.358994805141847,64.54017096860477,1.5143732109381864,0.5816193420208982,0.44533304415352265,Nature,1 | |
| kdd_cup_2018/H/medium,TurkForecast-FM-Chronos2-LoRA-v1,4983.18968989833,4983.18968989833,25.004080862510037,1.0401058282304305,1.1041164935683345,0.5461257448671087,8.564919389661053,70.59171119825847,1.4776123629245475,0.5233806969524404,0.41721991436439515,Nature,1 | |
| kdd_cup_2018/H/short,TurkForecast-FM-Chronos2-LoRA-v1,2687.5703781799475,2687.5704001165204,23.857132121495283,0.9580271501646781,0.8566789857546488,0.5749385766188304,43.258283647826005,51.84178216631781,1.0307493560503147,0.47434179435864054,0.39179971543858794,Nature,1 | |
| loop_seattle/5T/long,TurkForecast-FM-Chronos2-LoRA-v1,98.44317165462677,98.44317165462677,5.780385778580438,0.9113433908564642,0.1925361980958319,0.13005866653587606,6.227033630065236,9.921853236902205,0.17542039436024412,0.10219840271992542,0.0795193568123974,Transport,1 | |
| loop_seattle/5T/medium,TurkForecast-FM-Chronos2-LoRA-v1,84.09893567788957,84.09893567788957,5.332555741663442,0.845525262307259,0.17424029087503629,0.12172835374641222,5.885399477836339,9.170547185304134,0.1631628740887507,0.0948771216664779,0.07417131365244178,Transport,1 | |
| loop_seattle/5T/short,TurkForecast-FM-Chronos2-LoRA-v1,36.085862445831296,36.08586220706857,3.4292523829142256,0.46375184826370613,0.08272513583302497,0.06936937535802523,3.9686996256959675,6.007150942487736,0.11060878900051734,0.06314232117051466,0.050088659859280994,Transport,1 | |
| loop_seattle/D/short,TurkForecast-FM-Chronos2-LoRA-v1,10.440760639190676,10.440760801278103,2.087435712178548,0.9562158922375633,0.03940250102678935,0.039458522737026214,11.320812040800515,3.231216588096607,0.05852722210536897,0.037809848967085544,0.03091959651208666,Transport,1 | |
| loop_seattle/H/long,TurkForecast-FM-Chronos2-LoRA-v1,60.37068283453733,60.37068283453733,4.181222318971448,0.8735345852417211,0.12331930973458462,0.09723127566541967,6.758270331885551,7.769857323949863,0.1388577527389141,0.07472404070079071,0.05933858722158785,Transport,1 | |
| loop_seattle/H/medium,TurkForecast-FM-Chronos2-LoRA-v1,68.24554308565531,68.24554308565531,4.435131659571724,0.9076093962599161,0.1153957118928986,0.10154155026525413,7.288989500176872,8.261086071798024,0.14601375510291262,0.07839044677196205,0.06281535872065858,Transport,1 | |
| loop_seattle/H/short,TurkForecast-FM-Chronos2-LoRA-v1,46.38423306147258,46.38423379632779,3.3737089914083476,0.6031596229164817,0.13589927713076272,0.09039992625514666,4.450748396896226,6.810597114899147,0.1248999928490897,0.061870672498643635,0.04989461575426929,Transport,1 | |
| m4_daily/D/short,TurkForecast-FM-Chronos2-LoRA-v1,52934.149375174384,52934.146046977345,126.54592856270925,1.5319453498062423,0.04291946465947799,0.041385668840791506,18.57857735260502,230.07422579501247,0.058707337986310074,0.03229033857173919,0.02678026819651974,Econ/Fin,1 | |
| m4_hourly/H/short,TurkForecast-FM-Chronos2-LoRA-v1,1071562.0244018554,1071562.0283038793,495.6700006802877,0.648396571302382,0.03626246305803458,0.03581845852235953,27.439605994240438,1035.1628009167714,0.05639222135360247,0.027002450685393867,0.02188046318661455,Econ/Fin,1 | |
| m4_monthly/M/short,TurkForecast-FM-Chronos2-LoRA-v1,252152.29852593315,252152.30177655266,277.1957342529297,2.5904531963588107,0.060911911233431766,0.06023248033805026,30.383085073029015,502.1476859709035,0.0912456387082191,0.050369447865224466,0.04090151022970403,Econ/Fin,1 | |
| m4_quarterly/Q/short,TurkForecast-FM-Chronos2-LoRA-v1,42490.7230602762,42490.7226457889,120.70166679050611,1.1289480023112772,0.02879985687626607,0.028453482517405697,10.895224376946846,206.13278016918173,0.04510024817565028,0.026408585393349962,0.020857124240758123,Econ/Fin,1 | |
| m4_weekly/W/short,TurkForecast-FM-Chronos2-LoRA-v1,476739.9092487981,476739.8944750341,278.7677283653846,2.010269640900077,0.06580950316328268,0.06731602865916032,15.18739442546153,690.4635466473217,0.15336066807947746,0.06191783001648865,0.0498302867682196,Econ/Fin,1 | |
| m4_yearly/A/short,TurkForecast-FM-Chronos2-LoRA-v1,402817.0133825231,402817.03162775206,387.1530298303674,2.5353122073318635,0.11018430786552252,0.09266682465871175,18.750683636815566,634.6786693930426,0.10329740484401867,0.06301126095386357,0.04949737091847885,Econ/Fin,1 | |
| m_dense/D/short,TurkForecast-FM-Chronos2-LoRA-v1,21145.682769588893,21145.68282578949,64.18846896277533,0.8689651659452137,0.13044468098216588,0.14117724670304194,10.270297679149374,145.41555202105755,0.33903224541390625,0.14965359770459224,0.12378935022040413,Transport,1 | |
| m_dense/H/long,TurkForecast-FM-Chronos2-LoRA-v1,36285.14765432099,36285.14765432099,79.24003086419754,0.6824050396489317,0.2785773710583145,0.19208964783468363,7.31249086395161,190.48660754583506,0.32976047670281394,0.1371762072325005,0.1133079726778582,Transport,1 | |
| m_dense/H/medium,TurkForecast-FM-Chronos2-LoRA-v1,39619.293333333335,39619.293333333335,80.905859375,0.6970900925375951,0.2804773785363389,0.19406134711371528,8.459217312139414,199.04595784223636,0.34631481986063417,0.14076597394321705,0.11721631317369591,Transport,1 | |
| m_dense/H/short,TurkForecast-FM-Chronos2-LoRA-v1,42013.074359469945,42013.07345917552,74.47968956538372,0.5180690556036381,0.3281152389052543,0.19902189473311102,4.436988029722614,204.97091100805,0.32968145913843117,0.11979540226038404,0.0971235202025804,Transport,1 | |
| restaurant/D/short,TurkForecast-FM-Chronos2-LoRA-v1,123.74637992858887,123.74638075516422,7.374443191846212,0.725015936999844,0.7525384906133016,0.42570380735397334,6.351618519563342,11.1241350193437,0.5629876237424605,0.3732173588827749,0.30350904890464486,Sales,1 | |
| saugeen/D/short,TurkForecast-FM-Chronos2-LoRA-v1,2911.225520833333,2911.225436943056,38.38583335876465,2.5544081416350553,0.5258459726969401,0.8003928502400716,5.384907949076832,53.955773748815176,0.9648168680781152,0.6864010160860402,0.5909052350266903,Nature,1 | |
| saugeen/M/short,TurkForecast-FM-Chronos2-LoRA-v1,248.57975260416666,248.57976018886507,11.281306982040405,0.6033998468352851,0.5465644598007202,0.392250657081604,3.740998646768917,15.766412166506578,0.5808454881234884,0.4156111314315867,0.31205972318151104,Nature,1 | |
| saugeen/W/short,TurkForecast-FM-Chronos2-LoRA-v1,23.68859100341797,23.68858940163466,3.5674105882644653,0.2901206979928427,0.2200894057750702,0.24671702086925507,2.2973385180010517,4.867092664354971,0.34988086248171696,0.2564505625464087,0.1856047022634849,Nature,1 | |
| solar/10T/long,TurkForecast-FM-Chronos2-LoRA-v1,19.23235613721614,19.23235613721614,1.8166723494208739,0.7941239726053174,3.5173645623054024,1.441211769122567,3.818120671119489,4.385471027975917,0.9478493075369309,0.3926446252718286,0.29006620400278477,Energy,1 | |
| solar/10T/medium,TurkForecast-FM-Chronos2-LoRA-v1,19.42522395487724,19.42522395487724,1.8085002626631277,0.7899656500667791,3.620400844569428,1.441321532501106,3.6594001896293933,4.407405580937298,0.9780207642000411,0.4013133750603495,0.29022404279507985,Energy,1 | |
| solar/10T/short,TurkForecast-FM-Chronos2-LoRA-v1,18.993281915298052,18.993281915298052,1.7785098333428375,0.7784342503824689,4.95596794503629,1.4938188761690236,3.345156606542752,4.358128258243217,1.2677790383669734,0.5173683179187785,0.3859580534483757,Energy,1 | |
| solar/D/short,TurkForecast-FM-Chronos2-LoRA-v1,96713.17074999999,96713.17502210235,236.5770104726156,0.754791892927362,0.3790463616053264,0.2637776670455933,5.365628891628843,310.98741252661654,0.311861492883607,0.23724195435800766,0.18302973567625982,Energy,1 | |
| solar/H/long,TurkForecast-FM-Chronos2-LoRA-v1,863.2689375506894,863.2689375506894,13.061734590429847,0.9951096739685439,4.7256056823511985,1.4152125152068127,4.769305578292617,29.381438656925727,1.0187080243859727,0.4528741425850578,0.3396900582695741,Energy,1 | |
| solar/H/medium,TurkForecast-FM-Chronos2-LoRA-v1,917.9939781021898,917.9939781021898,14.019875304136253,1.0693943523681286,3.7866529688614436,1.4422406050410583,4.416687057144223,30.298415438801246,1.09141964095334,0.5050286310040903,0.36297925188459823,Energy,1 | |
| solar/H/short,TurkForecast-FM-Chronos2-LoRA-v1,515.3584885660807,515.3584938999968,11.81192224880318,0.8526820348967128,2.149821207555287,1.3734070450870703,8.290305394219512,22.701508508600938,0.59473280438092,0.30944805432073885,0.25984255080819,Energy,1 | |
| solar/W/short,TurkForecast-FM-Chronos2-LoRA-v1,420779.9146875,420779.9079668322,465.87262573242185,0.4446646429488684,0.06487692482769489,0.06328929387032986,4.539074532077146,648.675508006507,0.08854078571663619,0.06358915639190009,0.05184283840376276,Energy,1 | |
| sz_taxi/15T/long,TurkForecast-FM-Chronos2-LoRA-v1,15.539048032407408,15.539048032407408,2.702750233707265,0.5097233936474667,6160711490300.354,0.4007208060674858,4.202062870264974,3.9419599227297337,0.3648607885668546,0.25016174717646755,0.20111065809505738,Transport,1 | |
| sz_taxi/15T/medium,TurkForecast-FM-Chronos2-LoRA-v1,16.26090077457265,16.26090077457265,2.7383766109107905,0.5346223799157326,9442351611960.014,0.4037479498447516,4.004753579868697,4.0324807221575965,0.3752896393628863,0.25485165126805776,0.2020288543113543,Transport,1 | |
| sz_taxi/15T/short,TurkForecast-FM-Chronos2-LoRA-v1,13.175321003595986,13.17532116977995,2.570602640214686,0.44438987018524684,0.636834931174914,0.2745321827133496,3.521253454889609,3.6297825008664066,0.261464151333888,0.18516824214064412,0.14731471681436636,Transport,1 | |
| sz_taxi/H/short,TurkForecast-FM-Chronos2-LoRA-v1,5.449611894289652,5.449611871555619,1.6742767857030656,0.5346529789677261,0.221589563190937,0.18144336496790248,4.321829292269569,2.3344403813954324,0.16752728180083445,0.12015172547695722,0.09550119403894981,Transport,1 | |
| temperature_rain/D/short,TurkForecast-FM-Chronos2-LoRA-v1,321.8198042869568,321.81980812529605,11.02174806278199,4.833495982554783,1.4081182631745564,0.9123614786465963,105.8795804105927,17.939336785036307,0.8320054879656273,0.5111758061806186,0.4068868875347929,Nature,1 | |
| us_births/D/short,TurkForecast-FM-Chronos2-LoRA-v1,71849.86666666667,71849.86666666667,208.66666666666666,0.7682235467834035,0.02072704831759135,0.020614810784657798,9.483546535614513,268.0482543622821,0.026147817931014908,0.020355208136880645,0.017520549261617897,Healthcare,1 | |
| us_births/M/short,TurkForecast-FM-Chronos2-LoRA-v1,342473962.6666667,342473951.8333333,16794.5,1.344911389496713,0.05289501448472341,0.05464264750480652,2.854188144399685,18506.052055116095,0.058982586879602034,0.053527519127215706,0.05115489416324145,Healthcare,1 | |
| us_births/W/short,TurkForecast-FM-Chronos2-LoRA-v1,677837.875,677837.875,717.125,0.6602110512574637,0.009474821388721466,0.00949627161026001,5.048574218671307,823.3091005205761,0.0108510936876154,0.009451602752612495,0.008023667974401065,Healthcare,1 | |