Text Classification
PEFT
Safetensors
English
decision-model
calibration
lora
multiple-choice
typesafe
qwen3.5
Eval Results (legacy)
Instructions to use jaredpalmer/kev-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jaredpalmer/kev-4b with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("Qwen/Qwen3.5-4B-Base") model = PeftModel.from_pretrained(base_model, "jaredpalmer/kev-4b") - Notebooks
- Google Colab
- Kaggle
Research preview: Qwen3-4B-Base + LoRA r16, decision-v4, lr 5e-5 (trial lowdrift-4b-v4/01-trial-1); dev 0.843, transfer 0.759; locked test 0.852 / 0.794 (one ungated read)
1a0cb0a verified Download result.json from jaredpalmer/kev-4b: direct link, hf CLI and curl.
- Browser
- Download file 44.5 kB
-
https://huggingface.co/jaredpalmer/kev-4b/resolve/002ed9fb770d4eae7c52f447c0a64245ce07b7f9/result.json
- Command line
-
hf download hf://jaredpalmer/kev-4b@002ed9fb770d4eae7c52f447c0a64245ce07b7f9/result.json
-
curl -L -o result.json https://huggingface.co/jaredpalmer/kev-4b/resolve/002ed9fb770d4eae7c52f447c0a64245ce07b7f9/result.json
44.5 kB
| { | |
| "objective": -0.43626773843495975, | |
| "paired_flip": { | |
| "pairs": 80, | |
| "flip_rate": 0.8, | |
| "both_correct_rate": 0.7875, | |
| "invariant_pairs": 32, | |
| "invariance_rate": 0.96875, | |
| "invariant_both_correct_rate": 0.75 | |
| }, | |
| "clean": { | |
| "n": 1264, | |
| "nll": 0.49270420325136344, | |
| "acc": 0.8433544303797469, | |
| "ece": 0.06594221953695525, | |
| "brier": 0.2304253991005061, | |
| "mean_conf": 0.9056805510694902, | |
| "confident_error_rate": 0.041930379746835444, | |
| "coverage_at_0_9": 0.7207278481012658, | |
| "accuracy_at_0_9": 0.9418221734357849, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.9683544303797469, | |
| "confidence_cutoff": 0.9969858274806879 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8006329113924051, | |
| "accuracy": 0.9169960474308301, | |
| "confidence_cutoff": 0.7772195703619846 | |
| } | |
| }, | |
| "score_mae": 0.46615447394386733, | |
| "ranked_probability_score": 0.07413022264755034 | |
| }, | |
| "tasks": { | |
| "agnews": { | |
| "n": 80, | |
| "nll": 0.7950945140716335, | |
| "acc": 0.8375, | |
| "ece": 0.1406972002844886, | |
| "brier": 0.2762554000738226, | |
| "mean_conf": 0.9745562358474412, | |
| "confident_error_rate": 0.125, | |
| "coverage_at_0_9": 0.9375, | |
| "accuracy_at_0_9": 0.8666666666666667, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.925, | |
| "confidence_cutoff": 0.998320386625476 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.90625, | |
| "confidence_cutoff": 0.9904088712919377 | |
| } | |
| } | |
| }, | |
| "agnews_yn": { | |
| "n": 160, | |
| "nll": 0.28186152223742494, | |
| "acc": 0.90625, | |
| "ece": 0.07542313092570005, | |
| "brier": 0.14901831317168973, | |
| "mean_conf": 0.9747087980041751, | |
| "confident_error_rate": 0.0625, | |
| "coverage_at_0_9": 0.9375, | |
| "accuracy_at_0_9": 0.9333333333333333, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9971681734067362 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.96875, | |
| "confidence_cutoff": 0.982740683770429 | |
| } | |
| } | |
| }, | |
| "amazon": { | |
| "n": 80, | |
| "nll": 1.0196391123600004, | |
| "acc": 0.6, | |
| "ece": 0.11720791576959377, | |
| "brier": 0.5160439083611392, | |
| "mean_conf": 0.6799275887021834, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.1, | |
| "accuracy_at_0_9": 1.0, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.775, | |
| "confidence_cutoff": 0.6836506775293549 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.65625, | |
| "confidence_cutoff": 0.5342125840165901 | |
| } | |
| }, | |
| "score_mae": 0.5459510098165279, | |
| "ranked_probability_score": 0.08945245383686956 | |
| }, | |
| "banking77": { | |
| "n": 80, | |
| "nll": 0.5113620485051269, | |
| "acc": 0.8625, | |
| "ece": 0.1058299297618509, | |
| "brier": 0.19751754442029174, | |
| "mean_conf": 0.9084802876232677, | |
| "confident_error_rate": 0.0375, | |
| "coverage_at_0_9": 0.75, | |
| "accuracy_at_0_9": 0.95, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.975, | |
| "confidence_cutoff": 0.997406004742942 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.953125, | |
| "confidence_cutoff": 0.8375620363220349 | |
| } | |
| } | |
| }, | |
| "boolq": { | |
| "n": 80, | |
| "nll": 0.6063220428768478, | |
| "acc": 0.8125, | |
| "ece": 0.1523504399403393, | |
| "brier": 0.29723528107621944, | |
| "mean_conf": 0.9479388131077211, | |
| "confident_error_rate": 0.1125, | |
| "coverage_at_0_9": 0.825, | |
| "accuracy_at_0_9": 0.8636363636363636, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.95, | |
| "confidence_cutoff": 0.9944373938794245 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.875, | |
| "confidence_cutoff": 0.9355499109953589 | |
| } | |
| } | |
| }, | |
| "composition_atom": { | |
| "n": 16, | |
| "nll": 0.00022375169248473796, | |
| "acc": 1.0, | |
| "ece": 0.0002236985931735047, | |
| "brier": 2.1231266595717122e-07, | |
| "mean_conf": 0.9997763014068265, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 1.0, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999058993385987 | |
| }, | |
| "0.8": { | |
| "coverage": 0.875, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9993928257859716 | |
| } | |
| } | |
| }, | |
| "composition_conditional": { | |
| "n": 16, | |
| "nll": 0.7082546219350276, | |
| "acc": 0.5625, | |
| "ece": 0.21645559184868818, | |
| "brier": 0.5274401456434846, | |
| "mean_conf": 0.768314753890476, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.1875, | |
| "accuracy_at_0_9": 1.0, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.5, | |
| "confidence_cutoff": 0.7694463867279061 | |
| }, | |
| "0.8": { | |
| "coverage": 0.875, | |
| "accuracy": 0.5714285714285714, | |
| "confidence_cutoff": 0.6823214495873883 | |
| } | |
| } | |
| }, | |
| "composition_conjunction": { | |
| "n": 16, | |
| "nll": 0.27846297632793376, | |
| "acc": 0.9375, | |
| "ece": 0.05346808288657512, | |
| "brier": 0.12228270731305031, | |
| "mean_conf": 0.9909680828865751, | |
| "confident_error_rate": 0.0625, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 0.9375, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9993270337200509 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8125, | |
| "accuracy": 0.9230769230769231, | |
| "confidence_cutoff": 0.9778269797547057 | |
| } | |
| } | |
| }, | |
| "composition_disjunction": { | |
| "n": 16, | |
| "nll": 0.8764993307606881, | |
| "acc": 0.375, | |
| "ece": 0.4711898645745842, | |
| "brier": 0.7023675622349094, | |
| "mean_conf": 0.8387335772460123, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.375, | |
| "accuracy_at_0_9": 1.0, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.75, | |
| "confidence_cutoff": 0.7967217324698745 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8125, | |
| "accuracy": 0.46153846153846156, | |
| "confidence_cutoff": 0.7052494111805804 | |
| } | |
| } | |
| }, | |
| "composition_exception": { | |
| "n": 16, | |
| "nll": 0.612728266149837, | |
| "acc": 0.8125, | |
| "ece": 0.14532368418730013, | |
| "brier": 0.28791174353070237, | |
| "mean_conf": 0.8207914709327099, | |
| "confident_error_rate": 0.0625, | |
| "coverage_at_0_9": 0.5625, | |
| "accuracy_at_0_9": 0.8888888888888888, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5625, | |
| "accuracy": 0.8888888888888888, | |
| "confidence_cutoff": 0.9903986490905234 | |
| }, | |
| "0.8": { | |
| "coverage": 0.875, | |
| "accuracy": 0.9285714285714286, | |
| "confidence_cutoff": 0.5969183622872342 | |
| } | |
| } | |
| }, | |
| "composition_negation": { | |
| "n": 16, | |
| "nll": 0.0030236235164483446, | |
| "acc": 1.0, | |
| "ece": 0.003009578314682959, | |
| "brier": 5.578378827942149e-05, | |
| "mean_conf": 0.996990421685317, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 1.0, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9995587880948419 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8125, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9935149998439103 | |
| } | |
| } | |
| }, | |
| "composition_nested_and": { | |
| "n": 16, | |
| "nll": 0.481820796499673, | |
| "acc": 0.8125, | |
| "ece": 0.18958547888708274, | |
| "brier": 0.3234615292511045, | |
| "mean_conf": 0.9109958565994007, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.5625, | |
| "accuracy_at_0_9": 1.0, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5625, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9139422570032867 | |
| }, | |
| "0.8": { | |
| "coverage": 0.875, | |
| "accuracy": 0.7857142857142857, | |
| "confidence_cutoff": 0.8780794470786842 | |
| } | |
| } | |
| }, | |
| "composition_nested_or": { | |
| "n": 16, | |
| "nll": 0.2501230770678766, | |
| "acc": 0.8125, | |
| "ece": 0.1790732485764209, | |
| "brier": 0.1691031074981212, | |
| "mean_conf": 0.8615686225464547, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.625, | |
| "accuracy_at_0_9": 1.0, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5625, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9637807320421716 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8125, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.717047529396562 | |
| } | |
| } | |
| }, | |
| "contrastive_age_eligibility": { | |
| "n": 24, | |
| "nll": 9.418382347374338e-05, | |
| "acc": 1.0, | |
| "ece": 9.416856850796851e-05, | |
| "brier": 6.099229203265891e-08, | |
| "mean_conf": 0.999905831431492, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 1.0, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999457138899187 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8333333333333334, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999129651852414 | |
| } | |
| } | |
| }, | |
| "contrastive_quantity_limit": { | |
| "n": 24, | |
| "nll": 0.07730656772491125, | |
| "acc": 0.9583333333333334, | |
| "ece": 0.04974356098719197, | |
| "brier": 0.050979178083050546, | |
| "mean_conf": 0.9710007250630094, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.875, | |
| "accuracy_at_0_9": 1.0, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999835881930685 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8333333333333334, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9436147756677654 | |
| } | |
| } | |
| }, | |
| "contrastive_return_window": { | |
| "n": 24, | |
| "nll": 0.49209644010229986, | |
| "acc": 0.8333333333333334, | |
| "ece": 0.19578387787396817, | |
| "brier": 0.32706070337436416, | |
| "mean_conf": 0.6740205242962628, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.125, | |
| "accuracy_at_0_9": 1.0, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.8333333333333334, | |
| "confidence_cutoff": 0.6806883609089743 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8333333333333334, | |
| "accuracy": 0.9, | |
| "confidence_cutoff": 0.5212784564876096 | |
| } | |
| } | |
| }, | |
| "contrastive_spend_threshold": { | |
| "n": 24, | |
| "nll": 5.205699232173055e-06, | |
| "acc": 1.0, | |
| "ece": 5.205682826692204e-06, | |
| "brier": 5.936279180575511e-11, | |
| "mean_conf": 0.9999947943171733, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 1.0, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999958155985319 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8333333333333334, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999936876541461 | |
| } | |
| } | |
| }, | |
| "dbpedia14": { | |
| "n": 80, | |
| "nll": 0.29656149284632616, | |
| "acc": 0.975, | |
| "ece": 0.025214292354676295, | |
| "brier": 0.05064140567840305, | |
| "mean_conf": 0.996385923721335, | |
| "confident_error_rate": 0.025, | |
| "coverage_at_0_9": 0.9875, | |
| "accuracy_at_0_9": 0.9746835443037974, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.975, | |
| "confidence_cutoff": 0.9999960017182091 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.984375, | |
| "confidence_cutoff": 0.9999788824754027 | |
| } | |
| } | |
| }, | |
| "imdb": { | |
| "n": 80, | |
| "nll": 0.3127233810892126, | |
| "acc": 0.9375, | |
| "ece": 0.053663935619804926, | |
| "brier": 0.11534978018158895, | |
| "mean_conf": 0.9738274778837788, | |
| "confident_error_rate": 0.05, | |
| "coverage_at_0_9": 0.95, | |
| "accuracy_at_0_9": 0.9473684210526315, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.975, | |
| "confidence_cutoff": 0.999593531373628 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.96875, | |
| "confidence_cutoff": 0.9953810277859526 | |
| } | |
| } | |
| }, | |
| "mnli": { | |
| "n": 80, | |
| "nll": 0.7358959894016086, | |
| "acc": 0.8875, | |
| "ece": 0.09498478417122745, | |
| "brier": 0.2066712957443589, | |
| "mean_conf": 0.9824847841712273, | |
| "confident_error_rate": 0.075, | |
| "coverage_at_0_9": 0.9125, | |
| "accuracy_at_0_9": 0.9178082191780822, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.95, | |
| "confidence_cutoff": 0.9998106535789235 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.921875, | |
| "confidence_cutoff": 0.9968406114683508 | |
| } | |
| } | |
| }, | |
| "sst5": { | |
| "n": 80, | |
| "nll": 0.9669308824391963, | |
| "acc": 0.6, | |
| "ece": 0.09834935819867714, | |
| "brier": 0.5390031367943859, | |
| "mean_conf": 0.6697246211788539, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.0, | |
| "accuracy_at_0_9": null, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.675, | |
| "confidence_cutoff": 0.6838879515926393 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.640625, | |
| "confidence_cutoff": 0.5562130566679055 | |
| } | |
| }, | |
| "score_mae": 0.4866490608247956, | |
| "ranked_probability_score": 0.07760274373746638 | |
| }, | |
| "trec": { | |
| "n": 80, | |
| "nll": 0.2681665341339504, | |
| "acc": 0.95, | |
| "ece": 0.04589909809143966, | |
| "brier": 0.08563855882533415, | |
| "mean_conf": 0.9897104052330299, | |
| "confident_error_rate": 0.0375, | |
| "coverage_at_0_9": 0.9625, | |
| "accuracy_at_0_9": 0.961038961038961, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999113102739388 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.984375, | |
| "confidence_cutoff": 0.9995804447520621 | |
| } | |
| } | |
| }, | |
| "yelp": { | |
| "n": 80, | |
| "nll": 0.6831540510313843, | |
| "acc": 0.7125, | |
| "ece": 0.11338568933312428, | |
| "brier": 0.4054758669002904, | |
| "mean_conf": 0.7549803480348907, | |
| "confident_error_rate": 0.0125, | |
| "coverage_at_0_9": 0.2375, | |
| "accuracy_at_0_9": 0.9473684210526315, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.825, | |
| "confidence_cutoff": 0.7584703217844887 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.71875, | |
| "confidence_cutoff": 0.5751638650678267 | |
| } | |
| }, | |
| "score_mae": 0.3658633511902785, | |
| "ranked_probability_score": 0.0553354703683151 | |
| }, | |
| "yelp_yn": { | |
| "n": 80, | |
| "nll": 0.21207531014643574, | |
| "acc": 0.9375, | |
| "ece": 0.07081812833225783, | |
| "brier": 0.1129159603215983, | |
| "mean_conf": 0.951214245414727, | |
| "confident_error_rate": 0.0375, | |
| "coverage_at_0_9": 0.8875, | |
| "accuracy_at_0_9": 0.9577464788732394, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9980030267810204 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.96875, | |
| "confidence_cutoff": 0.9512556366061135 | |
| } | |
| } | |
| } | |
| }, | |
| "variants": { | |
| "clean": { | |
| "n": 1264, | |
| "nll": 0.49270420325136344, | |
| "acc": 0.8433544303797469, | |
| "ece": 0.06594221953695525, | |
| "brier": 0.2304253991005061, | |
| "mean_conf": 0.9056805510694902, | |
| "confident_error_rate": 0.041930379746835444, | |
| "coverage_at_0_9": 0.7207278481012658, | |
| "accuracy_at_0_9": 0.9418221734357849, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.9683544303797469, | |
| "confidence_cutoff": 0.9969858274806879 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8006329113924051, | |
| "accuracy": 0.9169960474308301, | |
| "confidence_cutoff": 0.7772195703619846 | |
| } | |
| }, | |
| "score_mae": 0.46615447394386733, | |
| "ranked_probability_score": 0.07413022264755034 | |
| }, | |
| "none_absent": { | |
| "n": 60, | |
| "nll": 0.34730929757853557, | |
| "acc": 0.9, | |
| "ece": 0.05819559509032246, | |
| "brier": 0.15066119354556398, | |
| "mean_conf": 0.9357325580768454, | |
| "confident_error_rate": 0.03333333333333333, | |
| "coverage_at_0_9": 0.8166666666666667, | |
| "accuracy_at_0_9": 0.9591836734693877, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.9666666666666667, | |
| "confidence_cutoff": 0.9936425163549159 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.9583333333333334, | |
| "confidence_cutoff": 0.9199155242794771 | |
| } | |
| } | |
| }, | |
| "none_present": { | |
| "n": 60, | |
| "nll": 0.6144052506757293, | |
| "acc": 0.85, | |
| "ece": 0.12398924921867116, | |
| "brier": 0.2219867824244911, | |
| "mean_conf": 0.9225475682703834, | |
| "confident_error_rate": 0.05, | |
| "coverage_at_0_9": 0.7333333333333333, | |
| "accuracy_at_0_9": 0.9318181818181818, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.9666666666666667, | |
| "confidence_cutoff": 0.9788449007841126 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.9375, | |
| "confidence_cutoff": 0.8778505645541171 | |
| } | |
| } | |
| }, | |
| "permuted": { | |
| "n": 84, | |
| "nll": 0.2546924017313925, | |
| "acc": 0.9642857142857143, | |
| "ece": 0.027005499462976732, | |
| "brier": 0.06334382848593952, | |
| "mean_conf": 0.9616513050530332, | |
| "confident_error_rate": 0.011904761904761904, | |
| "coverage_at_0_9": 0.8809523809523809, | |
| "accuracy_at_0_9": 0.9864864864864865, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.9761904761904762, | |
| "confidence_cutoff": 0.9986857381395567 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8095238095238095, | |
| "accuracy": 0.9852941176470589, | |
| "confidence_cutoff": 0.9782015603157548 | |
| } | |
| } | |
| } | |
| }, | |
| "heldout_tasks": {}, | |
| "permutation": { | |
| "n": 60, | |
| "mean_max_delta": 0.028645445881422607, | |
| "flip_rate": 0.0 | |
| }, | |
| "temperature": 1.6817928305074288, | |
| "calibrated_clean": { | |
| "n": 1264, | |
| "nll": 0.41122771423718835, | |
| "acc": 0.8433544303797469, | |
| "ece": 0.029878680941071403, | |
| "brier": 0.22163995813342396, | |
| "mean_conf": 0.8537602563128153, | |
| "confident_error_rate": 0.02531645569620253, | |
| "coverage_at_0_9": 0.6305379746835443, | |
| "accuracy_at_0_9": 0.9598494353826851, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.9699367088607594, | |
| "confidence_cutoff": 0.9642199125508445 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8006329113924051, | |
| "accuracy": 0.9140316205533597, | |
| "confidence_cutoff": 0.64404729215556 | |
| } | |
| }, | |
| "score_mae": 0.4898882439100961, | |
| "ranked_probability_score": 0.07318786656043844 | |
| }, | |
| "metric_policy": { | |
| "nll_floor": 1e-09, | |
| "renormalize_returned_probabilities": true, | |
| "raw_sums_outside_1e_5": 0, | |
| "returned_zeros": 0 | |
| }, | |
| "coverage": { | |
| "requested_records": 1204, | |
| "requested_questions": 1468, | |
| "evaluated_records": 1204, | |
| "evaluated_questions": 1468, | |
| "rejected_records": 0, | |
| "truncated_records": 0 | |
| }, | |
| "latency_ms": { | |
| "median": 40.70646650006893, | |
| "p95": 176.1448922000227 | |
| }, | |
| "transfer": { | |
| "objective": -0.6469513768218378, | |
| "paired_flip": { | |
| "pairs": 64, | |
| "flip_rate": 0.765625, | |
| "both_correct_rate": 0.625, | |
| "invariant_pairs": 24, | |
| "invariance_rate": 0.9166666666666666, | |
| "invariant_both_correct_rate": 0.7083333333333334 | |
| }, | |
| "clean": { | |
| "n": 656, | |
| "nll": 0.6737480119225305, | |
| "acc": 0.7591463414634146, | |
| "ece": 0.09576415469848724, | |
| "brier": 0.3458683977940453, | |
| "mean_conf": 0.8536714256705493, | |
| "confident_error_rate": 0.054878048780487805, | |
| "coverage_at_0_9": 0.5609756097560976, | |
| "accuracy_at_0_9": 0.9021739130434783, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.9176829268292683, | |
| "confidence_cutoff": 0.9453179137202009 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8003048780487805, | |
| "accuracy": 0.84, | |
| "confidence_cutoff": 0.6736268802658845 | |
| } | |
| }, | |
| "score_mae": 0.559585187044141, | |
| "ranked_probability_score": 0.20125310837378044 | |
| }, | |
| "tasks": { | |
| "composition_held_and_or": { | |
| "n": 32, | |
| "nll": 0.16124667325614508, | |
| "acc": 0.90625, | |
| "ece": 0.0999692090647061, | |
| "brier": 0.09203981623543711, | |
| "mean_conf": 0.8987736025965803, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.5625, | |
| "accuracy_at_0_9": 1.0, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.965252237085153 | |
| }, | |
| "0.8": { | |
| "coverage": 0.84375, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.8564524054527283 | |
| } | |
| } | |
| }, | |
| "composition_held_conditional": { | |
| "n": 32, | |
| "nll": 0.5615376657515203, | |
| "acc": 0.6875, | |
| "ece": 0.22184899361932287, | |
| "brier": 0.3794817850737517, | |
| "mean_conf": 0.7246624672103279, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.0, | |
| "accuracy_at_0_9": null, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.75, | |
| "confidence_cutoff": 0.7544585241538726 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8125, | |
| "accuracy": 0.7692307692307693, | |
| "confidence_cutoff": 0.5531940625069756 | |
| } | |
| } | |
| }, | |
| "composition_held_or_not": { | |
| "n": 32, | |
| "nll": 0.5655317868338693, | |
| "acc": 0.71875, | |
| "ece": 0.09325598891592117, | |
| "brier": 0.39100563024022383, | |
| "mean_conf": 0.7736132595874887, | |
| "confident_error_rate": 0.03125, | |
| "coverage_at_0_9": 0.34375, | |
| "accuracy_at_0_9": 0.9090909090909091, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.53125, | |
| "accuracy": 0.7647058823529411, | |
| "confidence_cutoff": 0.7146551992101908 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8125, | |
| "accuracy": 0.7307692307692307, | |
| "confidence_cutoff": 0.6406720876693726 | |
| } | |
| } | |
| }, | |
| "contrastive_authorization": { | |
| "n": 40, | |
| "nll": 0.0033886158836361523, | |
| "acc": 1.0, | |
| "ece": 0.003376199689084425, | |
| "brier": 4.9305385295095284e-05, | |
| "mean_conf": 0.9966238003109156, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 1.0, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9982887944477522 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9942067137057325 | |
| } | |
| } | |
| }, | |
| "contrastive_deadline": { | |
| "n": 40, | |
| "nll": 1.6340949276574512, | |
| "acc": 0.6, | |
| "ece": 0.2046063513171754, | |
| "brier": 0.6650279715640843, | |
| "mean_conf": 0.7713137611531188, | |
| "confident_error_rate": 0.05, | |
| "coverage_at_0_9": 0.275, | |
| "accuracy_at_0_9": 0.8181818181818182, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.7, | |
| "confidence_cutoff": 0.7491426513245583 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.59375, | |
| "confidence_cutoff": 0.6120769070497205 | |
| } | |
| }, | |
| "score_mae": 0.559585187044141, | |
| "ranked_probability_score": 0.20125310837378044 | |
| }, | |
| "emotion": { | |
| "n": 80, | |
| "nll": 1.1690988193586769, | |
| "acc": 0.6, | |
| "ece": 0.1320255533441977, | |
| "brier": 0.557419433233482, | |
| "mean_conf": 0.7006192641171833, | |
| "confident_error_rate": 0.025, | |
| "coverage_at_0_9": 0.175, | |
| "accuracy_at_0_9": 0.8571428571428571, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.725, | |
| "confidence_cutoff": 0.7470126194995798 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.640625, | |
| "confidence_cutoff": 0.538923469466965 | |
| } | |
| } | |
| }, | |
| "mmlu": { | |
| "n": 80, | |
| "nll": 0.7799326210052785, | |
| "acc": 0.675, | |
| "ece": 0.09810006981421683, | |
| "brier": 0.41859635644049414, | |
| "mean_conf": 0.7673221455513571, | |
| "confident_error_rate": 0.0125, | |
| "coverage_at_0_9": 0.4125, | |
| "accuracy_at_0_9": 0.9696969696969697, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.925, | |
| "confidence_cutoff": 0.8180593755020935 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.734375, | |
| "confidence_cutoff": 0.5302840270313641 | |
| } | |
| } | |
| }, | |
| "paws": { | |
| "n": 80, | |
| "nll": 1.3508678648880292, | |
| "acc": 0.6375, | |
| "ece": 0.3337099334260657, | |
| "brier": 0.6342081819070262, | |
| "mean_conf": 0.9338208533191088, | |
| "confident_error_rate": 0.2875, | |
| "coverage_at_0_9": 0.825, | |
| "accuracy_at_0_9": 0.6515151515151515, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.775, | |
| "confidence_cutoff": 0.9885027546692093 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.65625, | |
| "confidence_cutoff": 0.9237694626032281 | |
| } | |
| } | |
| }, | |
| "qnli": { | |
| "n": 80, | |
| "nll": 0.21017877411941993, | |
| "acc": 0.8875, | |
| "ece": 0.051945754480597184, | |
| "brier": 0.13376057700152744, | |
| "mean_conf": 0.9286758641890824, | |
| "confident_error_rate": 0.0125, | |
| "coverage_at_0_9": 0.775, | |
| "accuracy_at_0_9": 0.9838709677419355, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.980412259406034 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.984375, | |
| "confidence_cutoff": 0.8854393033147118 | |
| } | |
| } | |
| }, | |
| "sciq": { | |
| "n": 80, | |
| "nll": 0.055040031162765776, | |
| "acc": 0.9875, | |
| "ece": 0.03640015391753809, | |
| "brier": 0.025248333439990812, | |
| "mean_conf": 0.9593721571738849, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.8875, | |
| "accuracy_at_0_9": 1.0, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9995435771535113 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9926320963090701 | |
| } | |
| } | |
| }, | |
| "tweet_offensive": { | |
| "n": 80, | |
| "nll": 0.6255473651234228, | |
| "acc": 0.7125, | |
| "ece": 0.15500689365811154, | |
| "brier": 0.3893384487941963, | |
| "mean_conf": 0.8675068936581116, | |
| "confident_error_rate": 0.075, | |
| "coverage_at_0_9": 0.525, | |
| "accuracy_at_0_9": 0.8571428571428571, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.85, | |
| "confidence_cutoff": 0.9214156085885589 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.796875, | |
| "confidence_cutoff": 0.7567637788284951 | |
| } | |
| } | |
| } | |
| }, | |
| "variants": { | |
| "clean": { | |
| "n": 656, | |
| "nll": 0.6737480119225305, | |
| "acc": 0.7591463414634146, | |
| "ece": 0.09576415469848724, | |
| "brier": 0.3458683977940453, | |
| "mean_conf": 0.8536714256705493, | |
| "confident_error_rate": 0.054878048780487805, | |
| "coverage_at_0_9": 0.5609756097560976, | |
| "accuracy_at_0_9": 0.9021739130434783, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.9176829268292683, | |
| "confidence_cutoff": 0.9453179137202009 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8003048780487805, | |
| "accuracy": 0.84, | |
| "confidence_cutoff": 0.6736268802658845 | |
| } | |
| }, | |
| "score_mae": 0.559585187044141, | |
| "ranked_probability_score": 0.20125310837378044 | |
| }, | |
| "none_absent": { | |
| "n": 36, | |
| "nll": 0.26926884161704145, | |
| "acc": 0.8888888888888888, | |
| "ece": 0.08483246085548923, | |
| "brier": 0.15538302713139848, | |
| "mean_conf": 0.8458775384482723, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.5555555555555556, | |
| "accuracy_at_0_9": 1.0, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.952827393769941 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8055555555555556, | |
| "accuracy": 0.9655172413793104, | |
| "confidence_cutoff": 0.647155167781788 | |
| } | |
| } | |
| }, | |
| "none_present": { | |
| "n": 36, | |
| "nll": 1.1557523564285068, | |
| "acc": 0.5833333333333334, | |
| "ece": 0.20228737926678123, | |
| "brier": 0.5375500328823575, | |
| "mean_conf": 0.7856207126001148, | |
| "confident_error_rate": 0.05555555555555555, | |
| "coverage_at_0_9": 0.4444444444444444, | |
| "accuracy_at_0_9": 0.875, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.8333333333333334, | |
| "confidence_cutoff": 0.8320525450679077 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8055555555555556, | |
| "accuracy": 0.6896551724137931, | |
| "confidence_cutoff": 0.5603063771072972 | |
| } | |
| } | |
| }, | |
| "permuted": { | |
| "n": 36, | |
| "nll": 0.5201077218808491, | |
| "acc": 0.8055555555555556, | |
| "ece": 0.10620680917142078, | |
| "brier": 0.2585350782150818, | |
| "mean_conf": 0.8560817865315147, | |
| "confident_error_rate": 0.027777777777777776, | |
| "coverage_at_0_9": 0.6388888888888888, | |
| "accuracy_at_0_9": 0.9565217391304348, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9688668293898156 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8055555555555556, | |
| "accuracy": 0.9310344827586207, | |
| "confidence_cutoff": 0.6698001526464686 | |
| } | |
| } | |
| } | |
| }, | |
| "heldout_tasks": { | |
| "composition_held_and_or": { | |
| "n": 32, | |
| "nll": 0.16124667325614508, | |
| "acc": 0.90625, | |
| "ece": 0.0999692090647061, | |
| "brier": 0.09203981623543711, | |
| "mean_conf": 0.8987736025965803, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.5625, | |
| "accuracy_at_0_9": 1.0, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.965252237085153 | |
| }, | |
| "0.8": { | |
| "coverage": 0.84375, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.8564524054527283 | |
| } | |
| } | |
| }, | |
| "composition_held_conditional": { | |
| "n": 32, | |
| "nll": 0.5615376657515203, | |
| "acc": 0.6875, | |
| "ece": 0.22184899361932287, | |
| "brier": 0.3794817850737517, | |
| "mean_conf": 0.7246624672103279, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.0, | |
| "accuracy_at_0_9": null, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.75, | |
| "confidence_cutoff": 0.7544585241538726 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8125, | |
| "accuracy": 0.7692307692307693, | |
| "confidence_cutoff": 0.5531940625069756 | |
| } | |
| } | |
| }, | |
| "composition_held_or_not": { | |
| "n": 32, | |
| "nll": 0.5655317868338693, | |
| "acc": 0.71875, | |
| "ece": 0.09325598891592117, | |
| "brier": 0.39100563024022383, | |
| "mean_conf": 0.7736132595874887, | |
| "confident_error_rate": 0.03125, | |
| "coverage_at_0_9": 0.34375, | |
| "accuracy_at_0_9": 0.9090909090909091, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.53125, | |
| "accuracy": 0.7647058823529411, | |
| "confidence_cutoff": 0.7146551992101908 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8125, | |
| "accuracy": 0.7307692307692307, | |
| "confidence_cutoff": 0.6406720876693726 | |
| } | |
| } | |
| }, | |
| "contrastive_authorization": { | |
| "n": 40, | |
| "nll": 0.0033886158836361523, | |
| "acc": 1.0, | |
| "ece": 0.003376199689084425, | |
| "brier": 4.9305385295095284e-05, | |
| "mean_conf": 0.9966238003109156, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 1.0, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9982887944477522 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9942067137057325 | |
| } | |
| } | |
| }, | |
| "contrastive_deadline": { | |
| "n": 40, | |
| "nll": 1.6340949276574512, | |
| "acc": 0.6, | |
| "ece": 0.2046063513171754, | |
| "brier": 0.6650279715640843, | |
| "mean_conf": 0.7713137611531188, | |
| "confident_error_rate": 0.05, | |
| "coverage_at_0_9": 0.275, | |
| "accuracy_at_0_9": 0.8181818181818182, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.7, | |
| "confidence_cutoff": 0.7491426513245583 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.59375, | |
| "confidence_cutoff": 0.6120769070497205 | |
| } | |
| }, | |
| "score_mae": 0.559585187044141, | |
| "ranked_probability_score": 0.20125310837378044 | |
| }, | |
| "emotion": { | |
| "n": 80, | |
| "nll": 1.1690988193586769, | |
| "acc": 0.6, | |
| "ece": 0.1320255533441977, | |
| "brier": 0.557419433233482, | |
| "mean_conf": 0.7006192641171833, | |
| "confident_error_rate": 0.025, | |
| "coverage_at_0_9": 0.175, | |
| "accuracy_at_0_9": 0.8571428571428571, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.725, | |
| "confidence_cutoff": 0.7470126194995798 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.640625, | |
| "confidence_cutoff": 0.538923469466965 | |
| } | |
| } | |
| }, | |
| "mmlu": { | |
| "n": 80, | |
| "nll": 0.7799326210052785, | |
| "acc": 0.675, | |
| "ece": 0.09810006981421683, | |
| "brier": 0.41859635644049414, | |
| "mean_conf": 0.7673221455513571, | |
| "confident_error_rate": 0.0125, | |
| "coverage_at_0_9": 0.4125, | |
| "accuracy_at_0_9": 0.9696969696969697, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.925, | |
| "confidence_cutoff": 0.8180593755020935 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.734375, | |
| "confidence_cutoff": 0.5302840270313641 | |
| } | |
| } | |
| }, | |
| "paws": { | |
| "n": 80, | |
| "nll": 1.3508678648880292, | |
| "acc": 0.6375, | |
| "ece": 0.3337099334260657, | |
| "brier": 0.6342081819070262, | |
| "mean_conf": 0.9338208533191088, | |
| "confident_error_rate": 0.2875, | |
| "coverage_at_0_9": 0.825, | |
| "accuracy_at_0_9": 0.6515151515151515, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.775, | |
| "confidence_cutoff": 0.9885027546692093 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.65625, | |
| "confidence_cutoff": 0.9237694626032281 | |
| } | |
| } | |
| }, | |
| "qnli": { | |
| "n": 80, | |
| "nll": 0.21017877411941993, | |
| "acc": 0.8875, | |
| "ece": 0.051945754480597184, | |
| "brier": 0.13376057700152744, | |
| "mean_conf": 0.9286758641890824, | |
| "confident_error_rate": 0.0125, | |
| "coverage_at_0_9": 0.775, | |
| "accuracy_at_0_9": 0.9838709677419355, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.980412259406034 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.984375, | |
| "confidence_cutoff": 0.8854393033147118 | |
| } | |
| } | |
| }, | |
| "sciq": { | |
| "n": 80, | |
| "nll": 0.055040031162765776, | |
| "acc": 0.9875, | |
| "ece": 0.03640015391753809, | |
| "brier": 0.025248333439990812, | |
| "mean_conf": 0.9593721571738849, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.8875, | |
| "accuracy_at_0_9": 1.0, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9995435771535113 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9926320963090701 | |
| } | |
| } | |
| }, | |
| "tweet_offensive": { | |
| "n": 80, | |
| "nll": 0.6255473651234228, | |
| "acc": 0.7125, | |
| "ece": 0.15500689365811154, | |
| "brier": 0.3893384487941963, | |
| "mean_conf": 0.8675068936581116, | |
| "confident_error_rate": 0.075, | |
| "coverage_at_0_9": 0.525, | |
| "accuracy_at_0_9": 0.8571428571428571, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.85, | |
| "confidence_cutoff": 0.9214156085885589 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.796875, | |
| "confidence_cutoff": 0.7567637788284951 | |
| } | |
| } | |
| } | |
| }, | |
| "permutation": { | |
| "n": 36, | |
| "mean_max_delta": 0.05925491716674244, | |
| "flip_rate": 0.08333333333333333 | |
| }, | |
| "temperature": 1.6817928305074288, | |
| "calibrated_clean": { | |
| "n": 656, | |
| "nll": 0.5820378669828833, | |
| "acc": 0.7591463414634146, | |
| "ece": 0.03700641597240436, | |
| "brier": 0.32945411573350936, | |
| "mean_conf": 0.7766242655533966, | |
| "confident_error_rate": 0.022865853658536585, | |
| "coverage_at_0_9": 0.4054878048780488, | |
| "accuracy_at_0_9": 0.943609022556391, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.9146341463414634, | |
| "confidence_cutoff": 0.8338229811080289 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8003048780487805, | |
| "accuracy": 0.8361904761904762, | |
| "confidence_cutoff": 0.5750182888989672 | |
| } | |
| }, | |
| "score_mae": 0.6168083306093092, | |
| "ranked_probability_score": 0.20097565485284385 | |
| }, | |
| "metric_policy": { | |
| "nll_floor": 1e-09, | |
| "renormalize_returned_probabilities": true, | |
| "raw_sums_outside_1e_5": 0, | |
| "returned_zeros": 0 | |
| }, | |
| "coverage": { | |
| "requested_records": 764, | |
| "requested_questions": 764, | |
| "evaluated_records": 764, | |
| "evaluated_questions": 764, | |
| "rejected_records": 0, | |
| "truncated_records": 0 | |
| }, | |
| "latency_ms": { | |
| "median": 40.34418950004692, | |
| "p95": 53.09184909999658 | |
| }, | |
| "suite_sha256": "31677c2256b406222e7d94ffdc0a02a70ce05746b9efe307876024c4e77291d1" | |
| }, | |
| "provenance": { | |
| "config": { | |
| "epochs": 2, | |
| "seed": 0, | |
| "lr": 5e-05, | |
| "lora": 16, | |
| "accum": 2, | |
| "batch": 4, | |
| "perm_kl": 0.0, | |
| "perm_frac": 0.3, | |
| "ord_w": 0.0, | |
| "p_none": 0.1, | |
| "p_none_distract": 0.12, | |
| "p_distract": 0.15, | |
| "p_none_pair": 0.25, | |
| "synthetic_repeat": 1, | |
| "public_frac": 1.0, | |
| "base": "Qwen/Qwen3-4B-Base", | |
| "dtype": "bf16", | |
| "checkpointing": 1 | |
| }, | |
| "config_sha256": "5d3deac10148d21541e48b12430160d3e7a79e3b4f61bcbbf98f934a79c5367c", | |
| "suite_sha256": "1b33e566d114f9eafeff55b36c221fadb2a4ae358a1b9cc68006e82c7cfad8f1", | |
| "source_hashes": { | |
| "kev/__init__.py": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", | |
| "kev/api.py": "cdb0602684d798ccd3fc2c86be622f2a8e7bcdeee64d07f95604c7d3fd4701ec", | |
| "kev/autoresearch.py": "ca45a4e2bc91ae241d841e6543bc2715f00054d928668d6c8d24bb6f7cfa3db4", | |
| "kev/benchmark.py": "042747fa86d4f10b3bb7c2a45ad3ff671183f45872bc3ab029e7743364a51a28", | |
| "kev/compare.py": "bd0445f021de59e35c7bff9304e39dd2e1211e3877a453575594ae7b81b0ada4", | |
| "kev/composition.py": "7667e02da107548cd85953da60c9b411f7be1cb8aef01e1eb0301b68f8d4457d", | |
| "kev/contrastive.py": "d6c9a577c9ad598416ed96f7c9037fd7541f1a53b36fd9c22bdae547b554ae87", | |
| "kev/data.py": "4296cea986f53383475d37438aa3ca2ba7cb258fe85a78b534a0aeccd02b9711", | |
| "kev/evaluate.py": "07664e4ac95c76054025e0850785fe5a16cef48a964679bdbab0137fe37147c1", | |
| "kev/experiment.py": "96bf40aa3fc9fcfee845adabf61c232708a7cc7e6c9874c3d2af4a4c6364dae7", | |
| "kev/jev.py": "e0213782359ba2f95adbf045ddaf0a008b08b4162bf6a9b66d4ce55fc91a51cb", | |
| "kev/model.py": "214b43200c6f31b673c31023621bec3ed3f713e26542dd9f483f62a9f4d813b9", | |
| "kev/plot.py": "d689c7dd18cde7f9ea77cb4f55c50ff7da1880b21cb2ecf244348e45842a1382", | |
| "kev/publish.py": "d6d581b0fab520305a46ed980cfeec9fcde80d479d70c95bebe8bd47dd91bece", | |
| "kev/serve.py": "86bcf741a8942c8ab0c49a7af7385af6a3e0163d0a931da3dc4faa8ab4ae50b7", | |
| "kev/study_v3.py": "4cda234f0b92391f82ffb441f89bc142c969705ce223dcb1ae52ea782e0b4b63", | |
| "kev/suite.py": "c4db818f83d7abaf4d8349a5b58f20f70439e04127b0989eb1f831be85578d87", | |
| "kev/train.py": "fb509ed3ecb52dcd4d70759c988b1c1a733995d8c1f6187218020e56784c37f6", | |
| "modal_app.py": "db0f9dc408c88d43e07a8cf4c6673267b9c9d451628f5bd8c437cf4ffb4e081e", | |
| "pyproject.toml": "ce566ee11b68c0cb587bb591943641f403d761d820817693dae7590faacf9888", | |
| "uv.lock": "846fdc64a8bd6279a17a4365f18cd4e92ba9622d50d378aafcb5be6604296138" | |
| }, | |
| "git_commit": "639f756ff930fffbd347f5b6d11c0c754240665c", | |
| "platform": "Linux-4.19.0-gvisor-x86_64-with-glibc2.36", | |
| "torch": "2.8.0+cu128", | |
| "device": "cuda", | |
| "gpu": "NVIDIA H100 80GB HBM3", | |
| "legacy_checkpoint": false | |
| }, | |
| "mechanism_checks": { | |
| "n": 8, | |
| "packed_max_delta": 0.0, | |
| "sibling_max_delta": 4.231929779052734e-06, | |
| "tolerance": 0.001, | |
| "passed": true | |
| }, | |
| "gates": { | |
| "passed": false, | |
| "checks": { | |
| "complete_coverage": true, | |
| "isolation_and_packing": true, | |
| "transfer_complete": true, | |
| "heldout_pairs_at_least_70pct": false, | |
| "transfer_confident_errors_below_10pct": true | |
| }, | |
| "policy": "Research screening only: 1e-3 isolation; 5pp task regression; 70% heldout pair correctness; <=10% confident errors; no automatic release." | |
| }, | |
| "wall_seconds": 2329.125955744, | |
| "promotable": false, | |
| "test_evaluated": false, | |
| "training_resources": { | |
| "wall_seconds": 2147.780514717102, | |
| "records_seen": 27070, | |
| "requested_records": 21792, | |
| "truncated_records": 0, | |
| "rejected_records": 0, | |
| "optimizer_steps": 2724, | |
| "forward_tokens": 5366731, | |
| "peak_device_bytes": 22944659968, | |
| "device": "cuda", | |
| "dtype": "bf16", | |
| "batch": 4, | |
| "peak_rss_bytes": 25038151680 | |
| } | |
| } | |