Instructions to use adarshcod30/openforensics-ensemble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use adarshcod30/openforensics-ensemble with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://adarshcod30/openforensics-ensemble") - Notebooks
- Google Colab
- Kaggle
| { | |
| "accuracy": [ | |
| 0.659500002861023, | |
| 0.7017999887466431, | |
| 0.7110000252723694, | |
| 0.7255499958992004, | |
| 0.7226499915122986, | |
| 0.7330999970436096, | |
| 0.7402499914169312, | |
| 0.7426000237464905, | |
| 0.7429999709129333, | |
| 0.7437000274658203, | |
| 0.7547000050544739, | |
| 0.7498499751091003, | |
| 0.7537999749183655, | |
| 0.7487499713897705, | |
| 0.753600001335144, | |
| 0.7539499998092651, | |
| 0.748449981212616, | |
| 0.7549999952316284, | |
| 0.7545999884605408, | |
| 0.7544000148773193 | |
| ], | |
| "auc": [ | |
| 0.7173540592193604, | |
| 0.7754159569740295, | |
| 0.7850887775421143, | |
| 0.803634524345398, | |
| 0.8031816482543945, | |
| 0.8133217692375183, | |
| 0.8207768201828003, | |
| 0.8249707221984863, | |
| 0.8240637183189392, | |
| 0.8275882601737976, | |
| 0.8360404968261719, | |
| 0.8342851996421814, | |
| 0.8379852771759033, | |
| 0.8320711255073547, | |
| 0.8366756439208984, | |
| 0.8354263305664062, | |
| 0.8339663147926331, | |
| 0.8368260860443115, | |
| 0.8393108248710632, | |
| 0.8376755714416504 | |
| ], | |
| "loss": [ | |
| 0.6813316941261292, | |
| 0.5923287868499756, | |
| 0.5734178423881531, | |
| 0.5459656119346619, | |
| 0.5432800054550171, | |
| 0.5277969241142273, | |
| 0.518195390701294, | |
| 0.5113338828086853, | |
| 0.511739194393158, | |
| 0.5069106221199036, | |
| 0.49666649103164673, | |
| 0.4985329508781433, | |
| 0.49333256483078003, | |
| 0.5020601749420166, | |
| 0.4960188567638397, | |
| 0.49715468287467957, | |
| 0.49685853719711304, | |
| 0.4949033260345459, | |
| 0.491393506526947, | |
| 0.49283814430236816 | |
| ], | |
| "pr_auc": [ | |
| 0.6950342655181885, | |
| 0.754374086856842, | |
| 0.7665385603904724, | |
| 0.7842331528663635, | |
| 0.7856216430664062, | |
| 0.7991156578063965, | |
| 0.8038672208786011, | |
| 0.8097383975982666, | |
| 0.8095018863677979, | |
| 0.8130930066108704, | |
| 0.8229112029075623, | |
| 0.8231561183929443, | |
| 0.826492428779602, | |
| 0.8186397552490234, | |
| 0.8216284513473511, | |
| 0.8213553428649902, | |
| 0.8247389197349548, | |
| 0.821742594242096, | |
| 0.8261934518814087, | |
| 0.8238918781280518 | |
| ], | |
| "precision": [ | |
| 0.6578582525253296, | |
| 0.6973786950111389, | |
| 0.7053328156471252, | |
| 0.7194279432296753, | |
| 0.716312050819397, | |
| 0.7258283495903015, | |
| 0.7321929335594177, | |
| 0.7345321178436279, | |
| 0.7349642515182495, | |
| 0.7365100979804993, | |
| 0.744762659072876, | |
| 0.7417981028556824, | |
| 0.7448861598968506, | |
| 0.7408267855644226, | |
| 0.7447876334190369, | |
| 0.745101809501648, | |
| 0.7389631867408752, | |
| 0.7466627955436707, | |
| 0.7440099716186523, | |
| 0.7444743514060974 | |
| ], | |
| "recall": [ | |
| 0.6646999716758728, | |
| 0.7129999995231628, | |
| 0.7247999906539917, | |
| 0.7394999861717224, | |
| 0.7372999787330627, | |
| 0.7491999864578247, | |
| 0.7576000094413757, | |
| 0.7598000168800354, | |
| 0.7601000070571899, | |
| 0.758899986743927, | |
| 0.7749999761581421, | |
| 0.7664999961853027, | |
| 0.7720000147819519, | |
| 0.7652000188827515, | |
| 0.7716000080108643, | |
| 0.7720000147819519, | |
| 0.7682999968528748, | |
| 0.7718999981880188, | |
| 0.7763000130653381, | |
| 0.7746999859809875 | |
| ], | |
| "val_accuracy": [ | |
| 0.7639999985694885, | |
| 0.7856666445732117, | |
| 0.7754999995231628, | |
| 0.7928333282470703, | |
| 0.7868333458900452, | |
| 0.7896666526794434, | |
| 0.7856666445732117, | |
| 0.7916666865348816, | |
| 0.8006666898727417, | |
| 0.7983333468437195, | |
| 0.7963333129882812, | |
| 0.8038333058357239, | |
| 0.7960000038146973, | |
| 0.8028333187103271, | |
| 0.8034999966621399, | |
| 0.7956666946411133, | |
| 0.8053333163261414, | |
| 0.800166666507721, | |
| 0.8023333549499512, | |
| 0.7996666431427002 | |
| ], | |
| "val_auc": [ | |
| 0.8518015146255493, | |
| 0.8659895658493042, | |
| 0.8590093851089478, | |
| 0.8753137588500977, | |
| 0.8687015175819397, | |
| 0.8715113401412964, | |
| 0.868065357208252, | |
| 0.8738881349563599, | |
| 0.8793981075286865, | |
| 0.8752559423446655, | |
| 0.8779399394989014, | |
| 0.8835710883140564, | |
| 0.8772802352905273, | |
| 0.8852648138999939, | |
| 0.88173907995224, | |
| 0.8830122947692871, | |
| 0.8824228048324585, | |
| 0.8827253580093384, | |
| 0.8827019929885864, | |
| 0.8813710808753967 | |
| ], | |
| "val_loss": [ | |
| 0.48509806394577026, | |
| 0.45829829573631287, | |
| 0.471304714679718, | |
| 0.4495863914489746, | |
| 0.45843705534935, | |
| 0.4542941153049469, | |
| 0.45682331919670105, | |
| 0.4503905475139618, | |
| 0.4420509338378906, | |
| 0.4472264349460602, | |
| 0.4446899890899658, | |
| 0.43615585565567017, | |
| 0.4468179941177368, | |
| 0.43811580538749695, | |
| 0.43913134932518005, | |
| 0.4403049647808075, | |
| 0.4379112124443054, | |
| 0.44036242365837097, | |
| 0.43963196873664856, | |
| 0.4411848485469818 | |
| ], | |
| "val_pr_auc": [ | |
| 0.8345251083374023, | |
| 0.8554242849349976, | |
| 0.841472864151001, | |
| 0.8664713501930237, | |
| 0.8577094674110413, | |
| 0.8568025231361389, | |
| 0.850128710269928, | |
| 0.8595180511474609, | |
| 0.868485689163208, | |
| 0.8619974255561829, | |
| 0.86510169506073, | |
| 0.8737555742263794, | |
| 0.8627110719680786, | |
| 0.8754913806915283, | |
| 0.8682188987731934, | |
| 0.8711894750595093, | |
| 0.8687462210655212, | |
| 0.8696081638336182, | |
| 0.8695904016494751, | |
| 0.8671808242797852 | |
| ], | |
| "val_precision": [ | |
| 0.7757660150527954, | |
| 0.77432781457901, | |
| 0.7798848748207092, | |
| 0.7773918509483337, | |
| 0.7741318941116333, | |
| 0.7957794666290283, | |
| 0.7885521650314331, | |
| 0.7922511696815491, | |
| 0.7924773097038269, | |
| 0.7841269969940186, | |
| 0.8042436838150024, | |
| 0.8001317381858826, | |
| 0.8022464513778687, | |
| 0.8159999847412109, | |
| 0.7994080781936646, | |
| 0.8118846416473389, | |
| 0.804723858833313, | |
| 0.8101963400840759, | |
| 0.8104038238525391, | |
| 0.8074555397033691 | |
| ], | |
| "val_recall": [ | |
| 0.7426666617393494, | |
| 0.8063333630561829, | |
| 0.7676666378974915, | |
| 0.8206666707992554, | |
| 0.8100000023841858, | |
| 0.7793333530426025, | |
| 0.7806666493415833, | |
| 0.7906666398048401, | |
| 0.8146666884422302, | |
| 0.8233333230018616, | |
| 0.7833333611488342, | |
| 0.8100000023841858, | |
| 0.7856666445732117, | |
| 0.7820000052452087, | |
| 0.8103333115577698, | |
| 0.7696666717529297, | |
| 0.8063333630561829, | |
| 0.7839999794960022, | |
| 0.7893333435058594, | |
| 0.7870000004768372 | |
| ], | |
| "learning_rate": [ | |
| 0.00019999999494757503, | |
| 0.00019999999494757503, | |
| 0.00019999999494757503, | |
| 0.00019999999494757503, | |
| 0.00019999999494757503, | |
| 0.00019999999494757503, | |
| 0.00019999999494757503, | |
| 9.999999747378752e-05, | |
| 9.999999747378752e-05, | |
| 9.999999747378752e-05, | |
| 9.999999747378752e-05, | |
| 9.999999747378752e-05, | |
| 9.999999747378752e-05, | |
| 9.999999747378752e-05, | |
| 9.999999747378752e-05, | |
| 9.999999747378752e-05, | |
| 9.999999747378752e-05, | |
| 4.999999873689376e-05, | |
| 4.999999873689376e-05, | |
| 4.999999873689376e-05 | |
| ] | |
| } |