Zero-Shot Classification
Transformers
Safetensors
English
modernbert
feature-extraction
assay
decision-model
calibrated
conformal-prediction
text-classification
cpu
Instructions to use Berk/assay-compiled-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Berk/assay-compiled-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="Berk/assay-compiled-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Berk/assay-compiled-base") model = AutoModel.from_pretrained("Berk/assay-compiled-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "overall": { | |
| "count": 6113, | |
| "accuracy": 0.6679208244724358, | |
| "brier": 0.4544455845096957, | |
| "brier_soft": 0.4310818103173888, | |
| "nll": 0.8546754183783308, | |
| "nll_soft": 0.8720034822503786, | |
| "ece": 0.10337806078709712, | |
| "mean_confidence": 0.769263460145617, | |
| "confident_error_rate": 0.05300179944380828, | |
| "score_mae": 0.53153959018479, | |
| "evidence_auc": 0.9074727460810058 | |
| }, | |
| "by_type": { | |
| "bool": { | |
| "count": 1898, | |
| "accuracy": 0.7787144362486829, | |
| "brier": 0.32803778696812624, | |
| "brier_soft": 0.32512087658844907, | |
| "nll": 0.5308636866774319, | |
| "nll_soft": 0.5373907544543911, | |
| "ece": 0.0827987949639653, | |
| "mean_confidence": 0.8615132312126481, | |
| "confident_error_rate": 0.07586933614330875, | |
| "evidence_auc": 0.9039322111530974 | |
| }, | |
| "choice": { | |
| "count": 3248, | |
| "accuracy": 0.625615763546798, | |
| "brier": 0.5167065686871394, | |
| "brier_soft": 0.4935414744397849, | |
| "nll": 1.034598991800825, | |
| "nll_soft": 1.0506837306443417, | |
| "ece": 0.13399685761808722, | |
| "mean_confidence": 0.7569434392263682, | |
| "confident_error_rate": 0.05511083743842365, | |
| "evidence_auc": 0.9208606009429315 | |
| }, | |
| "score": { | |
| "count": 967, | |
| "accuracy": 0.5925542916235781, | |
| "brier": 0.4934304067698423, | |
| "brier_soft": 0.429266777378387, | |
| "nll": 0.8859090277806523, | |
| "nll_soft": 0.9286131105577126, | |
| "ece": 0.07366032000041674, | |
| "mean_confidence": 0.6295792434553326, | |
| "confident_error_rate": 0.001034126163391934, | |
| "score_mae": 0.53153959018479 | |
| } | |
| }, | |
| "by_source": { | |
| "ag_news": { | |
| "count": 100, | |
| "accuracy": 0.88, | |
| "brier": 0.1956816155108337, | |
| "brier_soft": 0.1956816155108337, | |
| "nll": 0.3569359667701418, | |
| "nll_soft": 0.3569359667701418, | |
| "ece": 0.09543950200080867, | |
| "mean_confidence": 0.957247873544693, | |
| "confident_error_rate": 0.06 | |
| }, | |
| "amazon_polarity": { | |
| "count": 100, | |
| "accuracy": 0.97, | |
| "brier": 0.06277382037310442, | |
| "brier_soft": 0.06277382037310442, | |
| "nll": 0.14048191098950258, | |
| "nll_soft": 0.14048191098950258, | |
| "ece": 0.028436743021011374, | |
| "mean_confidence": 0.9850584268569946, | |
| "confident_error_rate": 0.03 | |
| }, | |
| "amazon_stars": { | |
| "count": 100, | |
| "accuracy": 0.53, | |
| "brier": 0.576941525754432, | |
| "brier_soft": 0.576941525754432, | |
| "nll": 0.9323376081861305, | |
| "nll_soft": 0.9323376081861305, | |
| "ece": 0.16485882312059405, | |
| "mean_confidence": 0.6662529197335243, | |
| "confident_error_rate": 0.0, | |
| "score_mae": 0.5123922033898998 | |
| }, | |
| "anli": { | |
| "count": 100, | |
| "accuracy": 0.39, | |
| "brier": 1.0697171006877613, | |
| "brier_soft": 1.0697171006877613, | |
| "nll": 2.53446586810947, | |
| "nll_soft": 2.53446586810947, | |
| "ece": 0.49495991080999374, | |
| "mean_confidence": 0.8732111909985543, | |
| "confident_error_rate": 0.35 | |
| }, | |
| "arc_challenge": { | |
| "count": 100, | |
| "accuracy": 0.36, | |
| "brier": 0.85564326196725, | |
| "brier_soft": 0.85564326196725, | |
| "nll": 1.6615319409245108, | |
| "nll_soft": 1.6615319409245108, | |
| "ece": 0.30022275894880296, | |
| "mean_confidence": 0.6384962823987007, | |
| "confident_error_rate": 0.07 | |
| }, | |
| "arc_easy": { | |
| "count": 100, | |
| "accuracy": 0.45, | |
| "brier": 0.6727499751604388, | |
| "brier_soft": 0.6727499751604388, | |
| "nll": 1.3332344578928694, | |
| "nll_soft": 1.3332344578928694, | |
| "ece": 0.20594446569681168, | |
| "mean_confidence": 0.6355124202370643, | |
| "confident_error_rate": 0.03 | |
| }, | |
| "banking77": { | |
| "count": 100, | |
| "accuracy": 0.81, | |
| "brier": 0.27520138323214327, | |
| "brier_soft": 0.27520138323214327, | |
| "nll": 0.7042584741411863, | |
| "nll_soft": 0.7042584741411863, | |
| "ece": 0.07309853732585905, | |
| "mean_confidence": 0.7600076282024384, | |
| "confident_error_rate": 0.0 | |
| }, | |
| "boolq": { | |
| "count": 125, | |
| "accuracy": 0.568, | |
| "brier": 0.7086733078745265, | |
| "brier_soft": 0.7086733078745265, | |
| "nll": 1.0996114747593868, | |
| "nll_soft": 1.0996114747593868, | |
| "ece": 0.345228253364563, | |
| "mean_confidence": 0.8863685808181763, | |
| "confident_error_rate": 0.264, | |
| "evidence_auc": 0.9706666666666667 | |
| }, | |
| "cb": { | |
| "count": 28, | |
| "accuracy": 0.9285714285714286, | |
| "brier": 0.14187151621545094, | |
| "brier_soft": 0.14187151621545094, | |
| "nll": 0.3411688505063019, | |
| "nll_soft": 0.3411688505063019, | |
| "ece": 0.08071247168949669, | |
| "mean_confidence": 0.9737525028841836, | |
| "confident_error_rate": 0.07142857142857142 | |
| }, | |
| "civil_comments_severity": { | |
| "count": 100, | |
| "accuracy": 0.81, | |
| "brier": 0.2641616792613485, | |
| "brier_soft": 0.18398093610713928, | |
| "nll": 0.48525818979939045, | |
| "nll_soft": 0.6278173365191989, | |
| "ece": 0.0930167320370674, | |
| "mean_confidence": 0.7847322449088097, | |
| "confident_error_rate": 0.01, | |
| "score_mae": 0.31169346647828206 | |
| }, | |
| "civil_comments_toxic": { | |
| "count": 100, | |
| "accuracy": 0.94, | |
| "brier": 0.08438325557871443, | |
| "brier_soft": 0.02902029657244265, | |
| "nll": 0.151836350238126, | |
| "nll_soft": 0.27572009664481245, | |
| "ece": 0.04216815173625941, | |
| "mean_confidence": 0.9121545308828354, | |
| "confident_error_rate": 0.01 | |
| }, | |
| "clinc150": { | |
| "count": 100, | |
| "accuracy": 0.8, | |
| "brier": 0.2993320627901788, | |
| "brier_soft": 0.2993320627901788, | |
| "nll": 0.9652885590344843, | |
| "nll_soft": 0.9652885590344843, | |
| "ece": 0.11481654163450003, | |
| "mean_confidence": 0.7029852807894349, | |
| "confident_error_rate": 0.0 | |
| }, | |
| "cola": { | |
| "count": 100, | |
| "accuracy": 0.58, | |
| "brier": 0.49509596184792515, | |
| "brier_soft": 0.49509596184792515, | |
| "nll": 0.6953869891066888, | |
| "nll_soft": 0.6953869891066888, | |
| "ece": 0.15781798183918, | |
| "mean_confidence": 0.7369759422540665, | |
| "confident_error_rate": 0.02 | |
| }, | |
| "commonsense_qa": { | |
| "count": 100, | |
| "accuracy": 0.42, | |
| "brier": 0.7442126993153202, | |
| "brier_soft": 0.7442126993153202, | |
| "nll": 1.4986388927152847, | |
| "nll_soft": 1.4986388927152847, | |
| "ece": 0.2365888097882271, | |
| "mean_confidence": 0.6122629001736641, | |
| "confident_error_rate": 0.05 | |
| }, | |
| "cosmos_qa": { | |
| "count": 120, | |
| "accuracy": 0.4, | |
| "brier": 0.7216093164068191, | |
| "brier_soft": 0.7216093164068191, | |
| "nll": 1.3523367352044129, | |
| "nll_soft": 1.3523367352044129, | |
| "ece": 0.22780664563179015, | |
| "mean_confidence": 0.6138915047049522, | |
| "confident_error_rate": 0.016666666666666666, | |
| "evidence_auc": 0.836875 | |
| }, | |
| "dates": { | |
| "count": 300, | |
| "accuracy": 0.7633333333333333, | |
| "brier": 0.28494306618151344, | |
| "brier_soft": 0.28494306618151344, | |
| "nll": 0.461646918030587, | |
| "nll_soft": 0.461646918030587, | |
| "ece": 0.06982577522595727, | |
| "mean_confidence": 0.8165360381205876, | |
| "confident_error_rate": 0.02666666666666667, | |
| "score_mae": 0.42511637235032534 | |
| }, | |
| "dbpedia": { | |
| "count": 100, | |
| "accuracy": 0.99, | |
| "brier": 0.01313320294332829, | |
| "brier_soft": 0.01313320294332829, | |
| "nll": 0.022723471569511666, | |
| "nll_soft": 0.022723471569511666, | |
| "ece": 0.015564617514610263, | |
| "mean_confidence": 0.9883377414941787, | |
| "confident_error_rate": 0.0 | |
| }, | |
| "dynasent": { | |
| "count": 100, | |
| "accuracy": 0.53, | |
| "brier": 0.5607406074995769, | |
| "brier_soft": 0.42609746333683257, | |
| "nll": 0.9629181593054416, | |
| "nll_soft": 1.0097704657215225, | |
| "ece": 0.1584402248263359, | |
| "mean_confidence": 0.6659586235880852, | |
| "confident_error_rate": 0.0, | |
| "score_mae": 0.5633883766271174 | |
| }, | |
| "enron_spam": { | |
| "count": 100, | |
| "accuracy": 0.94, | |
| "brier": 0.08979354473427502, | |
| "brier_soft": 0.08979354473427502, | |
| "nll": 0.1666279776671364, | |
| "nll_soft": 0.1666279776671364, | |
| "ece": 0.0407087934017182, | |
| "mean_confidence": 0.9807087934017181, | |
| "confident_error_rate": 0.03 | |
| }, | |
| "go_emotions": { | |
| "count": 100, | |
| "accuracy": 0.54, | |
| "brier": 0.5986230077830135, | |
| "brier_soft": 0.23341383083194883, | |
| "nll": 1.5085460014590555, | |
| "nll_soft": 2.014061282637175, | |
| "ece": 0.1133653888106346, | |
| "mean_confidence": 0.47643122762441636, | |
| "confident_error_rate": 0.0 | |
| }, | |
| "hellaswag": { | |
| "count": 100, | |
| "accuracy": 0.49, | |
| "brier": 0.7303985853764171, | |
| "brier_soft": 0.7303985853764171, | |
| "nll": 1.4383446168093819, | |
| "nll_soft": 1.4383446168093819, | |
| "ece": 0.22660601407289505, | |
| "mean_confidence": 0.658343857228756, | |
| "confident_error_rate": 0.06 | |
| }, | |
| "imdb": { | |
| "count": 100, | |
| "accuracy": 0.95, | |
| "brier": 0.08479113838840116, | |
| "brier_soft": 0.08479113838840116, | |
| "nll": 0.20038125969079196, | |
| "nll_soft": 0.20038125969079196, | |
| "ece": 0.04454047501087191, | |
| "mean_confidence": 0.977543198466301, | |
| "confident_error_rate": 0.03 | |
| }, | |
| "ledgar": { | |
| "count": 100, | |
| "accuracy": 0.75, | |
| "brier": 0.37746571387860506, | |
| "brier_soft": 0.37746571387860506, | |
| "nll": 1.117831587098228, | |
| "nll_soft": 1.117831587098228, | |
| "ece": 0.09851389944553374, | |
| "mean_confidence": 0.7810949206352233, | |
| "confident_error_rate": 0.01 | |
| }, | |
| "liar": { | |
| "count": 100, | |
| "accuracy": 0.32, | |
| "brier": 0.7427717464748098, | |
| "brier_soft": 0.7427717464748098, | |
| "nll": 1.4772028411140192, | |
| "nll_soft": 1.4772028411140192, | |
| "ece": 0.10479136735200882, | |
| "mean_confidence": 0.3535214939713478, | |
| "confident_error_rate": 0.0, | |
| "score_mae": 0.9304733183607459 | |
| }, | |
| "measuring_hate_speech": { | |
| "count": 100, | |
| "accuracy": 0.83, | |
| "brier": 0.26393481691390774, | |
| "brier_soft": 0.1380680952422536, | |
| "nll": 0.5018035055388043, | |
| "nll_soft": 0.6680358527776807, | |
| "ece": 0.1381094029545784, | |
| "mean_confidence": 0.7157146391272545, | |
| "confident_error_rate": 0.0, | |
| "score_mae": 0.5079832007945515 | |
| }, | |
| "medqa": { | |
| "count": 100, | |
| "accuracy": 0.34, | |
| "brier": 0.8253335318993641, | |
| "brier_soft": 0.8253335318993641, | |
| "nll": 1.6004826115846618, | |
| "nll_soft": 1.6004826115846618, | |
| "ece": 0.24258146941661834, | |
| "mean_confidence": 0.5722464674711227, | |
| "confident_error_rate": 0.01 | |
| }, | |
| "mnli": { | |
| "count": 100, | |
| "accuracy": 0.78, | |
| "brier": 0.35049440453320635, | |
| "brier_soft": 0.35049440453320635, | |
| "nll": 0.7340184397638638, | |
| "nll_soft": 0.7340184397638638, | |
| "ece": 0.1504778018593788, | |
| "mean_confidence": 0.9077262398600578, | |
| "confident_error_rate": 0.09 | |
| }, | |
| "mrpc": { | |
| "count": 100, | |
| "accuracy": 0.81, | |
| "brier": 0.296402084274162, | |
| "brier_soft": 0.296402084274162, | |
| "nll": 0.49396724593180946, | |
| "nll_soft": 0.49396724593180946, | |
| "ece": 0.12271335303783416, | |
| "mean_confidence": 0.913284073472023, | |
| "confident_error_rate": 0.11 | |
| }, | |
| "multirc": { | |
| "count": 125, | |
| "accuracy": 0.664, | |
| "brier": 0.5778966045169998, | |
| "brier_soft": 0.5778966045169998, | |
| "nll": 1.0105245482832101, | |
| "nll_soft": 1.0105245482832101, | |
| "ece": 0.2395370769500732, | |
| "mean_confidence": 0.8928435230255127, | |
| "confident_error_rate": 0.232, | |
| "evidence_auc": 0.6994666666666667 | |
| }, | |
| "openbookqa": { | |
| "count": 100, | |
| "accuracy": 0.52, | |
| "brier": 0.6241696926704345, | |
| "brier_soft": 0.6241696926704345, | |
| "nll": 1.2342317482843357, | |
| "nll_soft": 1.2342317482843357, | |
| "ece": 0.1368167817592621, | |
| "mean_confidence": 0.6306584364175797, | |
| "confident_error_rate": 0.01 | |
| }, | |
| "piqa": { | |
| "count": 100, | |
| "accuracy": 0.61, | |
| "brier": 0.5360872271281376, | |
| "brier_soft": 0.5360872271281376, | |
| "nll": 0.7988801723216932, | |
| "nll_soft": 0.7988801723216932, | |
| "ece": 0.1281885802745819, | |
| "mean_confidence": 0.7082396709918976, | |
| "confident_error_rate": 0.07 | |
| }, | |
| "policy_application": { | |
| "count": 150, | |
| "accuracy": 0.7333333333333333, | |
| "brier": 0.3540402117052364, | |
| "brier_soft": 0.3540402117052364, | |
| "nll": 0.5500808292524187, | |
| "nll_soft": 0.5500808292524187, | |
| "ece": 0.07159115393956501, | |
| "mean_confidence": 0.7941183785597483, | |
| "confident_error_rate": 0.02666666666666667, | |
| "evidence_auc": 0.5696533682145193 | |
| }, | |
| "policy_hard": { | |
| "count": 300, | |
| "accuracy": 0.6966666666666667, | |
| "brier": 0.39680403372516454, | |
| "brier_soft": 0.39680403372516454, | |
| "nll": 0.6353135836137924, | |
| "nll_soft": 0.6353135836137924, | |
| "ece": 0.09296291559934615, | |
| "mean_confidence": 0.7867085169752439, | |
| "confident_error_rate": 0.03, | |
| "evidence_auc": 0.7445023148148148 | |
| }, | |
| "qqp": { | |
| "count": 100, | |
| "accuracy": 0.8, | |
| "brier": 0.33138385122291225, | |
| "brier_soft": 0.33138385122291225, | |
| "nll": 0.5997304360971085, | |
| "nll_soft": 0.5997304360971085, | |
| "ece": 0.160344073176384, | |
| "mean_confidence": 0.92669453561306, | |
| "confident_error_rate": 0.11 | |
| }, | |
| "race": { | |
| "count": 125, | |
| "accuracy": 0.464, | |
| "brier": 0.6912585134522173, | |
| "brier_soft": 0.6912585134522173, | |
| "nll": 1.3744160623714958, | |
| "nll_soft": 1.3744160623714958, | |
| "ece": 0.14605404186248777, | |
| "mean_confidence": 0.5852895030975341, | |
| "confident_error_rate": 0.016, | |
| "evidence_auc": 0.7856 | |
| }, | |
| "rotten_tomatoes": { | |
| "count": 100, | |
| "accuracy": 0.89, | |
| "brier": 0.2377622469757273, | |
| "brier_soft": 0.2377622469757273, | |
| "nll": 0.3884358803375364, | |
| "nll_soft": 0.3884358803375364, | |
| "ece": 0.13390481829643247, | |
| "mean_confidence": 0.7656551349163055, | |
| "confident_error_rate": 0.0 | |
| }, | |
| "rte": { | |
| "count": 100, | |
| "accuracy": 0.7, | |
| "brier": 0.48653410178986045, | |
| "brier_soft": 0.48653410178986045, | |
| "nll": 0.8552582691879445, | |
| "nll_soft": 0.8552582691879445, | |
| "ece": 0.20795070528984066, | |
| "mean_confidence": 0.9079507052898407, | |
| "confident_error_rate": 0.2 | |
| }, | |
| "scotus": { | |
| "count": 100, | |
| "accuracy": 0.63, | |
| "brier": 0.558399670895838, | |
| "brier_soft": 0.558399670895838, | |
| "nll": 1.3936418468284624, | |
| "nll_soft": 1.3936418468284624, | |
| "ece": 0.13719820365309715, | |
| "mean_confidence": 0.6636926798522472, | |
| "confident_error_rate": 0.01 | |
| }, | |
| "shp": { | |
| "count": 100, | |
| "accuracy": 0.5, | |
| "brier": 0.6054587301920193, | |
| "brier_soft": 0.2182656459890131, | |
| "nll": 0.8379870996959774, | |
| "nll_soft": 0.8549041361552857, | |
| "ece": 0.22597848415374755, | |
| "mean_confidence": 0.7121235334873199, | |
| "confident_error_rate": 0.04 | |
| }, | |
| "sms_spam": { | |
| "count": 100, | |
| "accuracy": 0.96, | |
| "brier": 0.1060751114641901, | |
| "brier_soft": 0.1060751114641901, | |
| "nll": 0.21970222462417918, | |
| "nll_soft": 0.21970222462417918, | |
| "ece": 0.1075866764783859, | |
| "mean_confidence": 0.852413323521614, | |
| "confident_error_rate": 0.0 | |
| }, | |
| "snli": { | |
| "count": 100, | |
| "accuracy": 0.79, | |
| "brier": 0.3950873837225307, | |
| "brier_soft": 0.3950873837225307, | |
| "nll": 0.8923272739656278, | |
| "nll_soft": 0.8923272739656278, | |
| "ece": 0.20375718295574188, | |
| "mean_confidence": 0.9457461875677109, | |
| "confident_error_rate": 0.16 | |
| }, | |
| "social_iqa": { | |
| "count": 100, | |
| "accuracy": 0.5, | |
| "brier": 0.7282720596366673, | |
| "brier_soft": 0.7282720596366673, | |
| "nll": 1.4898040089024713, | |
| "nll_soft": 1.4898040089024713, | |
| "ece": 0.2804051974415779, | |
| "mean_confidence": 0.766021781861782, | |
| "confident_error_rate": 0.11 | |
| }, | |
| "sst2": { | |
| "count": 100, | |
| "accuracy": 0.9, | |
| "brier": 0.22684034833869313, | |
| "brier_soft": 0.22684034833869313, | |
| "nll": 0.3794984833755713, | |
| "nll_soft": 0.3794984833755713, | |
| "ece": 0.14272936522960666, | |
| "mean_confidence": 0.7780753713846207, | |
| "confident_error_rate": 0.02 | |
| }, | |
| "sst5": { | |
| "count": 100, | |
| "accuracy": 0.56, | |
| "brier": 0.5610144765744216, | |
| "brier_soft": 0.5610144765744216, | |
| "nll": 1.012664727296375, | |
| "nll_soft": 1.012664727296375, | |
| "ece": 0.06806655168533324, | |
| "mean_confidence": 0.5649158990383149, | |
| "confident_error_rate": 0.0, | |
| "score_mae": 0.5462690752366325 | |
| }, | |
| "stance_abortion": { | |
| "count": 60, | |
| "accuracy": 0.6333333333333333, | |
| "brier": 0.524088736443351, | |
| "brier_soft": 0.524088736443351, | |
| "nll": 0.8961191172069207, | |
| "nll_soft": 0.8961191172069207, | |
| "ece": 0.21964709063371024, | |
| "mean_confidence": 0.8473132938146591, | |
| "confident_error_rate": 0.11666666666666667 | |
| }, | |
| "stance_atheism": { | |
| "count": 60, | |
| "accuracy": 0.7, | |
| "brier": 0.4295024180903305, | |
| "brier_soft": 0.4295024180903305, | |
| "nll": 0.7695298592508046, | |
| "nll_soft": 0.7695298592508046, | |
| "ece": 0.20804943144321447, | |
| "mean_confidence": 0.8740352998177211, | |
| "confident_error_rate": 0.11666666666666667 | |
| }, | |
| "stance_feminist": { | |
| "count": 60, | |
| "accuracy": 0.6833333333333333, | |
| "brier": 0.5069301963867938, | |
| "brier_soft": 0.5069301963867938, | |
| "nll": 0.8636041819841961, | |
| "nll_soft": 0.8636041819841961, | |
| "ece": 0.24766051123539606, | |
| "mean_confidence": 0.8220602666338285, | |
| "confident_error_rate": 0.08333333333333333 | |
| }, | |
| "stance_hillary": { | |
| "count": 60, | |
| "accuracy": 0.6666666666666666, | |
| "brier": 0.5074511953888173, | |
| "brier_soft": 0.5074511953888173, | |
| "nll": 0.9144219988342865, | |
| "nll_soft": 0.9144219988342865, | |
| "ece": 0.1895925045013428, | |
| "mean_confidence": 0.8227309505144755, | |
| "confident_error_rate": 0.08333333333333333 | |
| }, | |
| "stsb": { | |
| "count": 100, | |
| "accuracy": 0.45, | |
| "brier": 0.6911273352227522, | |
| "brier_soft": 0.4113556479959866, | |
| "nll": 1.3398778933038693, | |
| "nll_soft": 1.3971825733832768, | |
| "ece": 0.17724637597799303, | |
| "mean_confidence": 0.6206034556031227, | |
| "confident_error_rate": 0.0, | |
| "score_mae": 0.6759577402091236 | |
| }, | |
| "subjectivity": { | |
| "count": 100, | |
| "accuracy": 0.94, | |
| "brier": 0.0767058129522083, | |
| "brier_soft": 0.0767058129522083, | |
| "nll": 0.11295796720663813, | |
| "nll_soft": 0.11295796720663813, | |
| "ece": 0.04773887455463412, | |
| "mean_confidence": 0.9554775649309158, | |
| "confident_error_rate": 0.0 | |
| }, | |
| "swag": { | |
| "count": 100, | |
| "accuracy": 0.4, | |
| "brier": 0.8060758700239877, | |
| "brier_soft": 0.8060758700239877, | |
| "nll": 1.6377803414833798, | |
| "nll_soft": 1.6377803414833798, | |
| "ece": 0.313101019859314, | |
| "mean_confidence": 0.713101019859314, | |
| "confident_error_rate": 0.08 | |
| }, | |
| "trec": { | |
| "count": 100, | |
| "accuracy": 0.96, | |
| "brier": 0.0627841559130499, | |
| "brier_soft": 0.0627841559130499, | |
| "nll": 0.1128754384695211, | |
| "nll_soft": 0.1128754384695211, | |
| "ece": 0.03479043036699291, | |
| "mean_confidence": 0.9710938653349876, | |
| "confident_error_rate": 0.01 | |
| }, | |
| "tweet_hate": { | |
| "count": 100, | |
| "accuracy": 0.54, | |
| "brier": 0.4972376556033321, | |
| "brier_soft": 0.4972376556033321, | |
| "nll": 0.692663662352403, | |
| "nll_soft": 0.692663662352403, | |
| "ece": 0.11306986272335055, | |
| "mean_confidence": 0.6452960926294327, | |
| "confident_error_rate": 0.0 | |
| }, | |
| "tweet_sentiment": { | |
| "count": 100, | |
| "accuracy": 0.67, | |
| "brier": 0.4101129435493609, | |
| "brier_soft": 0.4101129435493609, | |
| "nll": 0.6681253383561087, | |
| "nll_soft": 0.6681253383561087, | |
| "ece": 0.06605960577726364, | |
| "mean_confidence": 0.6303303089737892, | |
| "confident_error_rate": 0.0, | |
| "score_mae": 0.3951122248638421 | |
| }, | |
| "vitaminc": { | |
| "count": 100, | |
| "accuracy": 0.55, | |
| "brier": 0.6667891043228811, | |
| "brier_soft": 0.6667891043228811, | |
| "nll": 1.3148888047347953, | |
| "nll_soft": 1.3148888047347953, | |
| "ece": 0.2980202031135559, | |
| "mean_confidence": 0.8368437862396241, | |
| "confident_error_rate": 0.16 | |
| }, | |
| "wic": { | |
| "count": 100, | |
| "accuracy": 0.61, | |
| "brier": 0.5528101823846308, | |
| "brier_soft": 0.5528101823846308, | |
| "nll": 0.8525569252877085, | |
| "nll_soft": 0.8525569252877085, | |
| "ece": 0.21445172727108003, | |
| "mean_confidence": 0.8244517272710801, | |
| "confident_error_rate": 0.12 | |
| }, | |
| "winogrande": { | |
| "count": 100, | |
| "accuracy": 0.57, | |
| "brier": 0.5353339564884243, | |
| "brier_soft": 0.5353339564884243, | |
| "nll": 0.7633381528774766, | |
| "nll_soft": 0.7633381528774766, | |
| "ece": 0.17423450052738187, | |
| "mean_confidence": 0.7043132489919662, | |
| "confident_error_rate": 0.04 | |
| }, | |
| "yelp": { | |
| "count": 100, | |
| "accuracy": 0.62, | |
| "brier": 0.41939405623046616, | |
| "brier_soft": 0.41939405623046616, | |
| "nll": 0.7083493947055206, | |
| "nll_soft": 0.7083493947055206, | |
| "ece": 0.12632228136062626, | |
| "mean_confidence": 0.6600254368782044, | |
| "confident_error_rate": 0.0, | |
| "score_mae": 0.4118902616520063 | |
| } | |
| }, | |
| "reliability": [ | |
| { | |
| "bin": "0.0-0.1", | |
| "count": 4, | |
| "confidence": 0.06522660795599222, | |
| "accuracy": 0.5 | |
| }, | |
| { | |
| "bin": "0.1-0.2", | |
| "count": 11, | |
| "confidence": 0.16455867480147968, | |
| "accuracy": 0.18181818181818182 | |
| }, | |
| { | |
| "bin": "0.2-0.3", | |
| "count": 88, | |
| "confidence": 0.2596369771794839, | |
| "accuracy": 0.29545454545454547 | |
| }, | |
| { | |
| "bin": "0.3-0.4", | |
| "count": 172, | |
| "confidence": 0.3557821914207104, | |
| "accuracy": 0.25 | |
| }, | |
| { | |
| "bin": "0.4-0.5", | |
| "count": 412, | |
| "confidence": 0.45668168980809093, | |
| "accuracy": 0.40048543689320387 | |
| }, | |
| { | |
| "bin": "0.5-0.6", | |
| "count": 828, | |
| "confidence": 0.5498056534839713, | |
| "accuracy": 0.4782608695652174 | |
| }, | |
| { | |
| "bin": "0.6-0.7", | |
| "count": 719, | |
| "confidence": 0.6487497972513605, | |
| "accuracy": 0.5465924895688457 | |
| }, | |
| { | |
| "bin": "0.7-0.8", | |
| "count": 714, | |
| "confidence": 0.7503752866212059, | |
| "accuracy": 0.6162464985994398 | |
| }, | |
| { | |
| "bin": "0.8-0.9", | |
| "count": 827, | |
| "confidence": 0.8522957843044793, | |
| "accuracy": 0.727932285368803 | |
| }, | |
| { | |
| "bin": "0.9-1.0", | |
| "count": 2338, | |
| "confidence": 0.9691763384613449, | |
| "accuracy": 0.8614200171086399 | |
| } | |
| ] | |
| } |