Instructions to use macmacmacmac/Sev-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use macmacmacmac/Sev-4B with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download result.json from macmacmacmac/Sev-4B: direct link, hf CLI and curl.
- Browser
- Download file 82.1 kB
-
https://huggingface.co/macmacmacmac/Sev-4B/resolve/main/result.json
- Command line
-
hf download hf://macmacmacmac/Sev-4B/result.json
-
curl -L -o result.json https://huggingface.co/macmacmacmac/Sev-4B/resolve/main/result.json
82.1 kB
| { | |
| "objective": -0.17643950559609828, | |
| "paired_flip": null, | |
| "unknowable": null, | |
| "clean": { | |
| "n": 2632, | |
| "nll": 0.4626010690091542, | |
| "acc": 0.7868541033434651, | |
| "ece": 0.0822959829967011, | |
| "brier": 0.2695405506463609, | |
| "mean_conf": 0.8650301490049586, | |
| "confident_error_rate": 0.014437689969604863, | |
| "coverage_at_0_9": 0.6565349544072948, | |
| "accuracy_at_0_9": 0.9780092592592593, | |
| "coverage_at_5pct_error": 0.6808510638297872, | |
| "coverage_at_1pct_error": 0.5828267477203647, | |
| "aurc": 0.04539486327850754, | |
| "error_rate_at_0_9": 0.02199074074074074, | |
| "confidence_bias": 0.0781760456614935, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 1728, | |
| "errors": 38, | |
| "error_rate": 0.02199074074074074 | |
| }, | |
| "0.95": { | |
| "n": 1675, | |
| "errors": 28, | |
| "error_rate": 0.01671641791044776 | |
| }, | |
| "0.99": { | |
| "n": 1519, | |
| "errors": 15, | |
| "error_rate": 0.009874917709019092 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5155775075987842, | |
| "accuracy": 0.9918938835666913, | |
| "confidence_cutoff": 0.9953955617749282 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8028115501519757, | |
| "accuracy": 0.8920965451964032, | |
| "confidence_cutoff": 0.658356020724118 | |
| } | |
| } | |
| }, | |
| "tasks": { | |
| "excytin_file": { | |
| "n": 80, | |
| "nll": 8.416562133899781e-05, | |
| "acc": 1.0, | |
| "ece": 8.407504508700647e-05, | |
| "brier": 3.608306194877327e-07, | |
| "mean_conf": 0.999915924954913, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 1.0, | |
| "aurc": 0.0, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": -8.407504508700647e-05, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 80, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 80, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 80, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999870465451609 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999445146924221 | |
| } | |
| } | |
| }, | |
| "excytin_parent_join": { | |
| "n": 78, | |
| "nll": 0.0010931532029286512, | |
| "acc": 1.0, | |
| "ece": 0.0010890559164937752, | |
| "brier": 1.524968968159761e-05, | |
| "mean_conf": 0.9989109440835062, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 1.0, | |
| "aurc": 0.0, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": -0.0010890559164937752, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 78, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 78, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 77, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9997808486535813 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8076923076923077, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9985521003494622 | |
| } | |
| } | |
| }, | |
| "excytin_process": { | |
| "n": 120, | |
| "nll": 0.00038924968205708544, | |
| "acc": 1.0, | |
| "ece": 0.00038892368944332123, | |
| "brier": 1.2813112890567744e-06, | |
| "mean_conf": 0.9996110763105567, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 1.0, | |
| "aurc": 0.0, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": -0.00038892368944332123, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 120, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 120, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 120, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999547557532524 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9992749850755753 | |
| } | |
| } | |
| }, | |
| "excytin_signin": { | |
| "n": 120, | |
| "nll": 0.0009466221977245799, | |
| "acc": 1.0, | |
| "ece": 0.0009222842581878554, | |
| "brier": 7.013154556645113e-05, | |
| "mean_conf": 0.9990777157418121, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 1.0, | |
| "aurc": 0.0, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": -0.0009222842581878554, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 120, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 119, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 119, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999016374480455 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9997216681533668 | |
| } | |
| } | |
| }, | |
| "sev_guide_detector": { | |
| "n": 1064, | |
| "nll": 0.8605571101399087, | |
| "acc": 0.6005639097744361, | |
| "ece": 0.14734385206430384, | |
| "brier": 0.5008109312564021, | |
| "mean_conf": 0.7382136284198534, | |
| "confident_error_rate": 0.017857142857142856, | |
| "coverage_at_0_9": 0.33270676691729323, | |
| "accuracy_at_0_9": 0.9463276836158192, | |
| "coverage_at_5pct_error": 0.3082706766917293, | |
| "coverage_at_1pct_error": 0.0, | |
| "aurc": 0.19350209200158913, | |
| "error_rate_at_0_9": 0.05367231638418079, | |
| "confidence_bias": 0.1376497186454173, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 354, | |
| "errors": 19, | |
| "error_rate": 0.05367231638418079 | |
| }, | |
| "0.95": { | |
| "n": 327, | |
| "errors": 13, | |
| "error_rate": 0.039755351681957186 | |
| }, | |
| "0.99": { | |
| "n": 319, | |
| "errors": 12, | |
| "error_rate": 0.03761755485893417 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5028195488721805, | |
| "accuracy": 0.8205607476635514, | |
| "confidence_cutoff": 0.7059991149306561 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8035714285714286, | |
| "accuracy": 0.6596491228070176, | |
| "confidence_cutoff": 0.5473316703985754 | |
| } | |
| } | |
| }, | |
| "sev_guide_triage": { | |
| "n": 231, | |
| "nll": 0.8396428451107271, | |
| "acc": 0.5670995670995671, | |
| "ece": 0.1889188281653689, | |
| "brier": 0.5162927524049745, | |
| "mean_conf": 0.7421494516023849, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.3593073593073593, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 0.3722943722943723, | |
| "coverage_at_1pct_error": 0.36363636363636365, | |
| "aurc": 0.20987091476964936, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": 0.17504988450281778, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 83, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 80, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 14, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5627705627705628, | |
| "accuracy": 0.7153846153846154, | |
| "confidence_cutoff": 0.7564145922660828 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8051948051948052, | |
| "accuracy": 0.5806451612903226, | |
| "confidence_cutoff": 0.51023405030021 | |
| } | |
| } | |
| }, | |
| "sev_swarmtraces_response_policy": { | |
| "n": 175, | |
| "nll": 0.49844721765472333, | |
| "acc": 0.84, | |
| "ece": 0.1173563845984423, | |
| "brier": 0.26967228692055817, | |
| "mean_conf": 0.955988843320762, | |
| "confident_error_rate": 0.10285714285714286, | |
| "coverage_at_0_9": 0.8742857142857143, | |
| "accuracy_at_0_9": 0.8823529411764706, | |
| "coverage_at_5pct_error": 0.6114285714285714, | |
| "coverage_at_1pct_error": 0.44, | |
| "aurc": 0.044632779737602504, | |
| "error_rate_at_0_9": 0.11764705882352941, | |
| "confidence_bias": 0.11598884332076198, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 153, | |
| "errors": 18, | |
| "error_rate": 0.11764705882352941 | |
| }, | |
| "0.95": { | |
| "n": 140, | |
| "errors": 14, | |
| "error_rate": 0.1 | |
| }, | |
| "0.99": { | |
| "n": 92, | |
| "errors": 3, | |
| "error_rate": 0.03260869565217391 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5028571428571429, | |
| "accuracy": 0.9772727272727273, | |
| "confidence_cutoff": 0.9904485381783863 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.9, | |
| "confidence_cutoff": 0.9516673045977523 | |
| } | |
| } | |
| }, | |
| "sev_swarmtraces_static": { | |
| "n": 354, | |
| "nll": 0.04944532768977841, | |
| "acc": 0.980225988700565, | |
| "ece": 0.01487544035693287, | |
| "brier": 0.024608535342050798, | |
| "mean_conf": 0.9802643779708107, | |
| "confident_error_rate": 0.002824858757062147, | |
| "coverage_at_0_9": 0.9463276836158192, | |
| "accuracy_at_0_9": 0.9970149253731343, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 0.9858757062146892, | |
| "aurc": 0.0005032049402250012, | |
| "error_rate_at_0_9": 0.0029850746268656717, | |
| "confidence_bias": 3.8389270245686724e-05, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 335, | |
| "errors": 1, | |
| "error_rate": 0.0029850746268656717 | |
| }, | |
| "0.95": { | |
| "n": 330, | |
| "errors": 1, | |
| "error_rate": 0.0030303030303030303 | |
| }, | |
| "0.99": { | |
| "n": 308, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999276209511099 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8022598870056498, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.997796467038603 | |
| } | |
| } | |
| }, | |
| "sev_sysmon_native_file": { | |
| "n": 62, | |
| "nll": 0.008428780795422771, | |
| "acc": 1.0, | |
| "ece": 0.007810434776248104, | |
| "brier": 0.0017443201233063612, | |
| "mean_conf": 0.9921895652237519, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.9838709677419355, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 1.0, | |
| "aurc": 0.0, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": -0.0078104347762480986, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 61, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 59, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 57, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9991686260052061 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8064516129032258, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9962482122843107 | |
| } | |
| } | |
| }, | |
| "sev_sysmon_native_join": { | |
| "n": 120, | |
| "nll": 0.00039767294618876087, | |
| "acc": 1.0, | |
| "ece": 0.0003974740966455892, | |
| "brier": 7.310901229709924e-07, | |
| "mean_conf": 0.9996025259033544, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 1.0, | |
| "aurc": 0.0, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": -0.0003974740966455892, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 120, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 120, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 120, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9997660582574378 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9994606035447323 | |
| } | |
| } | |
| }, | |
| "sev_sysmon_native_other_effect": { | |
| "n": 88, | |
| "nll": 0.005466714567741097, | |
| "acc": 1.0, | |
| "ece": 0.005048372154544871, | |
| "brier": 0.0014126265728775101, | |
| "mean_conf": 0.994951627845455, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.9886363636363636, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 1.0, | |
| "aurc": 0.0, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": -0.005048372154545011, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 87, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 86, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 83, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9997677646417501 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8068181818181818, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9978176224669177 | |
| } | |
| } | |
| }, | |
| "sev_sysmon_native_process": { | |
| "n": 74, | |
| "nll": 0.004798899209615666, | |
| "acc": 1.0, | |
| "ece": 0.004644321057477101, | |
| "brier": 0.0005716684001551928, | |
| "mean_conf": 0.995355678942523, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.9864864864864865, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 1.0, | |
| "aurc": 0.0, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": -0.00464432105747703, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 73, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 72, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 68, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999268900168323 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8108108108108109, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9973453419434639 | |
| } | |
| } | |
| }, | |
| "sev_sysmon_native_registry": { | |
| "n": 66, | |
| "nll": 0.024015813931122083, | |
| "acc": 0.9848484848484849, | |
| "ece": 0.016913465896023366, | |
| "brier": 0.01690246747159733, | |
| "mean_conf": 0.9866786138448916, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.9696969696969697, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 0.9696969696969697, | |
| "aurc": 0.00046266864448682633, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": 0.0018301289964067768, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 64, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 64, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 62, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9998656142719909 | |
| }, | |
| "0.8": { | |
| "coverage": 0.803030303030303, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9982153954384291 | |
| } | |
| } | |
| } | |
| }, | |
| "variants": { | |
| "clean": { | |
| "n": 2632, | |
| "nll": 0.4626010690091542, | |
| "acc": 0.7868541033434651, | |
| "ece": 0.0822959829967011, | |
| "brier": 0.2695405506463609, | |
| "mean_conf": 0.8650301490049586, | |
| "confident_error_rate": 0.014437689969604863, | |
| "coverage_at_0_9": 0.6565349544072948, | |
| "accuracy_at_0_9": 0.9780092592592593, | |
| "coverage_at_5pct_error": 0.6808510638297872, | |
| "coverage_at_1pct_error": 0.5828267477203647, | |
| "aurc": 0.04539486327850754, | |
| "error_rate_at_0_9": 0.02199074074074074, | |
| "confidence_bias": 0.0781760456614935, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 1728, | |
| "errors": 38, | |
| "error_rate": 0.02199074074074074 | |
| }, | |
| "0.95": { | |
| "n": 1675, | |
| "errors": 28, | |
| "error_rate": 0.01671641791044776 | |
| }, | |
| "0.99": { | |
| "n": 1519, | |
| "errors": 15, | |
| "error_rate": 0.009874917709019092 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5155775075987842, | |
| "accuracy": 0.9918938835666913, | |
| "confidence_cutoff": 0.9953955617749282 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8028115501519757, | |
| "accuracy": 0.8920965451964032, | |
| "confidence_cutoff": 0.658356020724118 | |
| } | |
| } | |
| } | |
| }, | |
| "heldout_tasks": {}, | |
| "permutation": { | |
| "n": 0, | |
| "mean_max_delta": null, | |
| "flip_rate": null | |
| }, | |
| "temperature": 1.6817928305074288, | |
| "calibrated_clean": { | |
| "n": 2632, | |
| "nll": 0.42892992382965894, | |
| "acc": 0.7868541033434651, | |
| "ece": 0.04404789769068498, | |
| "brier": 0.25086130169182097, | |
| "mean_conf": 0.8094973007371603, | |
| "confident_error_rate": 0.007978723404255319, | |
| "coverage_at_0_9": 0.6196808510638298, | |
| "accuracy_at_0_9": 0.9871244635193133, | |
| "coverage_at_5pct_error": 0.6918693009118541, | |
| "coverage_at_1pct_error": 0.5395136778115501, | |
| "aurc": 0.045402363700726256, | |
| "error_rate_at_0_9": 0.012875536480686695, | |
| "confidence_bias": 0.022643197393695247, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 1631, | |
| "errors": 21, | |
| "error_rate": 0.012875536480686695 | |
| }, | |
| "0.95": { | |
| "n": 1153, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 776, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5208966565349544, | |
| "accuracy": 0.9912472647702407, | |
| "confidence_cutoff": 0.9486799539412789 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8111702127659575, | |
| "accuracy": 0.8861826697892272, | |
| "confidence_cutoff": 0.52766162421842 | |
| } | |
| } | |
| }, | |
| "metric_policy": { | |
| "version": 2, | |
| "selective_ties": "whole_confidence_groups", | |
| "coverage_at_error": "in-sample maximum over confidence thresholds; not a deployed error guarantee", | |
| "aurc": "right-step integral over whole confidence groups", | |
| "confident_error_rate": "high-confidence errors divided by all questions", | |
| "error_rate_at_0_9": "errors divided by questions accepted at p_max >= 0.9", | |
| "nll": "exact from logits when recorded; otherwise from floored probabilities", | |
| "nll_floor": 1e-09, | |
| "renormalize_returned_probabilities": true, | |
| "raw_sums_outside_1e_5": 0, | |
| "returned_zeros": 0 | |
| }, | |
| "coverage": { | |
| "requested_records": 1828, | |
| "requested_questions": 2632, | |
| "evaluated_records": 1828, | |
| "evaluated_questions": 2632, | |
| "rejected_records": 0, | |
| "truncated_records": 0 | |
| }, | |
| "latency_ms": { | |
| "median": 54.25747899994349, | |
| "p95": 161.14951469993457 | |
| }, | |
| "calibration": { | |
| "inference_temperature": 1.0, | |
| "additional_temperature": 1.6817928305074288, | |
| "logits_recorded": true | |
| }, | |
| "transfer": { | |
| "objective": -0.4988755241804635, | |
| "paired_flip": { | |
| "pairs": 16, | |
| "flip_rate": 0.9375, | |
| "both_correct_rate": 0.9375, | |
| "invariant_pairs": 8, | |
| "invariance_rate": 1.0, | |
| "invariant_both_correct_rate": 0.875 | |
| }, | |
| "unknowable": null, | |
| "clean": { | |
| "n": 243, | |
| "nll": 0.6065943824685833, | |
| "acc": 0.8683127572016461, | |
| "ece": 0.09195653550207036, | |
| "brier": 0.23499321102178952, | |
| "mean_conf": 0.9525644631029061, | |
| "confident_error_rate": 0.09053497942386832, | |
| "coverage_at_0_9": 0.8600823045267489, | |
| "accuracy_at_0_9": 0.8947368421052632, | |
| "coverage_at_5pct_error": 0.6872427983539094, | |
| "coverage_at_1pct_error": 0.42386831275720166, | |
| "aurc": 0.034793809228677, | |
| "error_rate_at_0_9": 0.10526315789473684, | |
| "confidence_bias": 0.08425170590125997, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 209, | |
| "errors": 22, | |
| "error_rate": 0.10526315789473684 | |
| }, | |
| "0.95": { | |
| "n": 193, | |
| "errors": 13, | |
| "error_rate": 0.06735751295336788 | |
| }, | |
| "0.99": { | |
| "n": 154, | |
| "errors": 4, | |
| "error_rate": 0.025974025974025976 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5020576131687243, | |
| "accuracy": 0.9836065573770492, | |
| "confidence_cutoff": 0.9985267483650163 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8024691358024691, | |
| "accuracy": 0.9230769230769231, | |
| "confidence_cutoff": 0.946113674977154 | |
| } | |
| } | |
| }, | |
| "tasks": { | |
| "composition_held_and_or": { | |
| "n": 32, | |
| "nll": 0.24171629359001318, | |
| "acc": 0.90625, | |
| "ece": 0.08267706695037225, | |
| "brier": 0.1580607438572586, | |
| "mean_conf": 0.9889270669503722, | |
| "confident_error_rate": 0.09375, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 0.90625, | |
| "coverage_at_5pct_error": 0.9375, | |
| "coverage_at_1pct_error": 0.90625, | |
| "aurc": 0.0069010416666666664, | |
| "error_rate_at_0_9": 0.09375, | |
| "confidence_bias": 0.08267706695037225, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 32, | |
| "errors": 3, | |
| "error_rate": 0.09375 | |
| }, | |
| "0.95": { | |
| "n": 30, | |
| "errors": 1, | |
| "error_rate": 0.03333333333333333 | |
| }, | |
| "0.99": { | |
| "n": 26, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999364856833449 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8125, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9996934954887139 | |
| } | |
| } | |
| }, | |
| "contrastive_authorization": { | |
| "n": 16, | |
| "nll": 1.502653141036028e-05, | |
| "acc": 1.0, | |
| "ece": 1.50264042420023e-05, | |
| "brier": 5.139828295030656e-10, | |
| "mean_conf": 0.999984973595758, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 1.0, | |
| "aurc": 0.0, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": -1.50264042420023e-05, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 16, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 16, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 16, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999862890472545 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8125, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999813198967473 | |
| } | |
| } | |
| }, | |
| "emotion": { | |
| "n": 8, | |
| "nll": 1.4194273414243654, | |
| "acc": 0.625, | |
| "ece": 0.3420785503418361, | |
| "brier": 0.6845960520300963, | |
| "mean_conf": 0.967078550341836, | |
| "confident_error_rate": 0.25, | |
| "coverage_at_0_9": 0.875, | |
| "accuracy_at_0_9": 0.7142857142857143, | |
| "coverage_at_5pct_error": 0.5, | |
| "coverage_at_1pct_error": 0.5, | |
| "aurc": 0.12842261904761904, | |
| "error_rate_at_0_9": 0.2857142857142857, | |
| "confidence_bias": 0.342078550341836, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 7, | |
| "errors": 2, | |
| "error_rate": 0.2857142857142857 | |
| }, | |
| "0.95": { | |
| "n": 5, | |
| "errors": 1, | |
| "error_rate": 0.2 | |
| }, | |
| "0.99": { | |
| "n": 3, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9869563807629563 | |
| }, | |
| "0.8": { | |
| "coverage": 0.875, | |
| "accuracy": 0.7142857142857143, | |
| "confidence_cutoff": 0.936063568486461 | |
| } | |
| } | |
| }, | |
| "mmlu": { | |
| "n": 8, | |
| "nll": 1.3129749769552814, | |
| "acc": 0.625, | |
| "ece": 0.15765322690405312, | |
| "brier": 0.6484351711065982, | |
| "mean_conf": 0.7567759888850003, | |
| "confident_error_rate": 0.125, | |
| "coverage_at_0_9": 0.5, | |
| "accuracy_at_0_9": 0.75, | |
| "coverage_at_5pct_error": 0.375, | |
| "coverage_at_1pct_error": 0.375, | |
| "aurc": 0.22336309523809525, | |
| "error_rate_at_0_9": 0.25, | |
| "confidence_bias": 0.1317759888850003, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 4, | |
| "errors": 1, | |
| "error_rate": 0.25 | |
| }, | |
| "0.95": { | |
| "n": 3, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 1, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.75, | |
| "confidence_cutoff": 0.9327223999584052 | |
| }, | |
| "0.8": { | |
| "coverage": 0.875, | |
| "accuracy": 0.5714285714285714, | |
| "confidence_cutoff": 0.485476400811401 | |
| } | |
| } | |
| }, | |
| "otrf_sysmon_file": { | |
| "n": 16, | |
| "nll": 0.008605175298168915, | |
| "acc": 1.0, | |
| "ece": 0.008437849080092708, | |
| "brier": 0.0005211762382657875, | |
| "mean_conf": 0.9915621509199073, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 1.0, | |
| "aurc": 0.0, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": -0.008437849080092708, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 16, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 15, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 13, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9989837483137961 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8125, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9925042879134804 | |
| } | |
| } | |
| }, | |
| "otrf_sysmon_join": { | |
| "n": 16, | |
| "nll": 0.12967885980971613, | |
| "acc": 0.9375, | |
| "ece": 0.0857233928404766, | |
| "brier": 0.08146985002971384, | |
| "mean_conf": 0.946506108546294, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.6875, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 0.9375, | |
| "coverage_at_1pct_error": 0.9375, | |
| "aurc": 0.00390625, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": 0.009006108546294023, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 11, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 11, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 9, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9970209747654696 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8125, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.8702734279589676 | |
| } | |
| } | |
| }, | |
| "otrf_sysmon_process": { | |
| "n": 24, | |
| "nll": 0.16156109121321785, | |
| "acc": 0.9583333333333334, | |
| "ece": 0.05273169620250518, | |
| "brier": 0.0899182770612567, | |
| "mean_conf": 0.9768730534919899, | |
| "confident_error_rate": 0.041666666666666664, | |
| "coverage_at_0_9": 0.9583333333333334, | |
| "accuracy_at_0_9": 0.9565217391304348, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 0.9166666666666666, | |
| "aurc": 0.0035477053140096615, | |
| "error_rate_at_0_9": 0.043478260869565216, | |
| "confidence_bias": 0.01853972015865657, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 23, | |
| "errors": 1, | |
| "error_rate": 0.043478260869565216 | |
| }, | |
| "0.95": { | |
| "n": 22, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 19, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9994396085787187 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8333333333333334, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9832554759400715 | |
| } | |
| } | |
| }, | |
| "otrf_sysmon_registry": { | |
| "n": 8, | |
| "nll": 0.010723606364118954, | |
| "acc": 1.0, | |
| "ece": 0.010542385937563847, | |
| "brier": 0.0006959554565011166, | |
| "mean_conf": 0.9894576140624362, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 1.0, | |
| "aurc": 0.0, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": -0.010542385937563847, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 8, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 8, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 5, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9972651302471073 | |
| }, | |
| "0.8": { | |
| "coverage": 0.875, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9840692701748682 | |
| } | |
| } | |
| }, | |
| "paws": { | |
| "n": 8, | |
| "nll": 1.0368545966100273, | |
| "acc": 0.75, | |
| "ece": 0.22498828525853157, | |
| "brier": 0.34163600039007924, | |
| "mean_conf": 0.9122532529823204, | |
| "confident_error_rate": 0.125, | |
| "coverage_at_0_9": 0.75, | |
| "accuracy_at_0_9": 0.8333333333333334, | |
| "coverage_at_5pct_error": 0.5, | |
| "coverage_at_1pct_error": 0.5, | |
| "aurc": 0.09494047619047619, | |
| "error_rate_at_0_9": 0.16666666666666666, | |
| "confidence_bias": 0.1622532529823204, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 6, | |
| "errors": 1, | |
| "error_rate": 0.16666666666666666 | |
| }, | |
| "0.95": { | |
| "n": 6, | |
| "errors": 1, | |
| "error_rate": 0.16666666666666666 | |
| }, | |
| "0.99": { | |
| "n": 6, | |
| "errors": 1, | |
| "error_rate": 0.16666666666666666 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9992691391151949 | |
| }, | |
| "0.8": { | |
| "coverage": 0.875, | |
| "accuracy": 0.8571428571428571, | |
| "confidence_cutoff": 0.749059870895155 | |
| } | |
| } | |
| }, | |
| "qnli": { | |
| "n": 8, | |
| "nll": 0.005181466224742151, | |
| "acc": 1.0, | |
| "ece": 0.005129334884136472, | |
| "brier": 0.00020524982613720548, | |
| "mean_conf": 0.9948706651158635, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 1.0, | |
| "aurc": 0.0, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": -0.005129334884136472, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 8, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 8, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 6, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.999952371295075 | |
| }, | |
| "0.8": { | |
| "coverage": 0.875, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.98872862957213 | |
| } | |
| } | |
| }, | |
| "sciq": { | |
| "n": 8, | |
| "nll": 0.00023928943016782004, | |
| "acc": 1.0, | |
| "ece": 0.0002391650142747892, | |
| "brier": 4.955209174865095e-07, | |
| "mean_conf": 0.9997608349857252, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 1.0, | |
| "aurc": 0.0, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": -0.0002391650142747892, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 8, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 8, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 8, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999911919978735 | |
| }, | |
| "0.8": { | |
| "coverage": 0.875, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9994259298933852 | |
| } | |
| } | |
| }, | |
| "sev_swarmtraces_manual_credential": { | |
| "n": 40, | |
| "nll": 0.9530052125004369, | |
| "acc": 0.825, | |
| "ece": 0.17316335764162732, | |
| "brier": 0.3580423587545788, | |
| "mean_conf": 0.9202306277592299, | |
| "confident_error_rate": 0.15, | |
| "coverage_at_0_9": 0.75, | |
| "accuracy_at_0_9": 0.8, | |
| "coverage_at_5pct_error": 0.225, | |
| "coverage_at_1pct_error": 0.225, | |
| "aurc": 0.10718612602417658, | |
| "error_rate_at_0_9": 0.2, | |
| "confidence_bias": 0.09523062775922997, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 30, | |
| "errors": 6, | |
| "error_rate": 0.2 | |
| }, | |
| "0.95": { | |
| "n": 26, | |
| "errors": 3, | |
| "error_rate": 0.11538461538461539 | |
| }, | |
| "0.99": { | |
| "n": 15, | |
| "errors": 1, | |
| "error_rate": 0.06666666666666667 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.9, | |
| "confidence_cutoff": 0.9774245184450835 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.8125, | |
| "confidence_cutoff": 0.8542392185801473 | |
| } | |
| } | |
| }, | |
| "sev_swarmtraces_manual_flow": { | |
| "n": 40, | |
| "nll": 1.485896746743676, | |
| "acc": 0.75, | |
| "ece": 0.21977756775377905, | |
| "brier": 0.43299049842888415, | |
| "mean_conf": 0.9214803040956191, | |
| "confident_error_rate": 0.15, | |
| "coverage_at_0_9": 0.725, | |
| "accuracy_at_0_9": 0.7931034482758621, | |
| "coverage_at_5pct_error": 0.1, | |
| "coverage_at_1pct_error": 0.1, | |
| "aurc": 0.14190456225170725, | |
| "error_rate_at_0_9": 0.20689655172413793, | |
| "confidence_bias": 0.1714803040956191, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 29, | |
| "errors": 6, | |
| "error_rate": 0.20689655172413793 | |
| }, | |
| "0.95": { | |
| "n": 27, | |
| "errors": 6, | |
| "error_rate": 0.2222222222222222 | |
| }, | |
| "0.99": { | |
| "n": 21, | |
| "errors": 2, | |
| "error_rate": 0.09523809523809523 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.9, | |
| "confidence_cutoff": 0.9901066734665328 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.8125, | |
| "confidence_cutoff": 0.8291658959545783 | |
| } | |
| } | |
| }, | |
| "sev_swarmtraces_manual_prerequisite": { | |
| "n": 3, | |
| "nll": 1.0331257533433365e-05, | |
| "acc": 1.0, | |
| "ece": 1.0331183196821137e-05, | |
| "brier": 2.5195789327524225e-10, | |
| "mean_conf": 0.9999896688168032, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 1.0, | |
| "aurc": 0.0, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": -1.0331183196821137e-05, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 3, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 3, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 3, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.6666666666666666, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999897312178962 | |
| }, | |
| "0.8": { | |
| "coverage": 1.0, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999810314632929 | |
| } | |
| } | |
| }, | |
| "tweet_offensive": { | |
| "n": 8, | |
| "nll": 0.7172428487540772, | |
| "acc": 0.75, | |
| "ece": 0.2179639808956667, | |
| "brier": 0.44120571426799937, | |
| "mean_conf": 0.9679639808956667, | |
| "confident_error_rate": 0.25, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 0.75, | |
| "coverage_at_5pct_error": 0.5, | |
| "coverage_at_1pct_error": 0.5, | |
| "aurc": 0.09494047619047619, | |
| "error_rate_at_0_9": 0.25, | |
| "confidence_bias": 0.2179639808956667, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 8, | |
| "errors": 2, | |
| "error_rate": 0.25 | |
| }, | |
| "0.95": { | |
| "n": 5, | |
| "errors": 1, | |
| "error_rate": 0.2 | |
| }, | |
| "0.99": { | |
| "n": 3, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9897168920827885 | |
| }, | |
| "0.8": { | |
| "coverage": 0.875, | |
| "accuracy": 0.8571428571428571, | |
| "confidence_cutoff": 0.940377631626033 | |
| } | |
| } | |
| } | |
| }, | |
| "variants": { | |
| "authorized_dns_diagnostic": { | |
| "n": 4, | |
| "nll": 0.2732991829356235, | |
| "acc": 0.75, | |
| "ece": 0.2014060191596143, | |
| "brier": 0.1826209474615037, | |
| "mean_conf": 0.8245034642731555, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.5, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 0.75, | |
| "coverage_at_1pct_error": 0.75, | |
| "aurc": 0.0625, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": 0.07450346427315546, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 2, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 2, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 2, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9941628768025105 | |
| }, | |
| "0.8": { | |
| "coverage": 1.0, | |
| "accuracy": 0.75, | |
| "confidence_cutoff": 0.5518189668655396 | |
| } | |
| } | |
| }, | |
| "cache_denied_no_reply": { | |
| "n": 4, | |
| "nll": 0.6290998127898555, | |
| "acc": 0.5, | |
| "ece": 0.19783432109801047, | |
| "brier": 0.45073491547326267, | |
| "mean_conf": 0.6842140294824197, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.25, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 0.25, | |
| "coverage_at_1pct_error": 0.25, | |
| "aurc": 0.41666666666666663, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": 0.18421402948241972, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 1, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 1, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 0, | |
| "errors": 0, | |
| "error_rate": null | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.5, | |
| "confidence_cutoff": 0.5997726159351691 | |
| }, | |
| "0.8": { | |
| "coverage": 1.0, | |
| "accuracy": 0.5, | |
| "confidence_cutoff": 0.5818420334307344 | |
| } | |
| } | |
| }, | |
| "clean": { | |
| "n": 243, | |
| "nll": 0.6065943824685833, | |
| "acc": 0.8683127572016461, | |
| "ece": 0.09195653550207036, | |
| "brier": 0.23499321102178952, | |
| "mean_conf": 0.9525644631029061, | |
| "confident_error_rate": 0.09053497942386832, | |
| "coverage_at_0_9": 0.8600823045267489, | |
| "accuracy_at_0_9": 0.8947368421052632, | |
| "coverage_at_5pct_error": 0.6872427983539094, | |
| "coverage_at_1pct_error": 0.42386831275720166, | |
| "aurc": 0.034793809228677, | |
| "error_rate_at_0_9": 0.10526315789473684, | |
| "confidence_bias": 0.08425170590125997, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 209, | |
| "errors": 22, | |
| "error_rate": 0.10526315789473684 | |
| }, | |
| "0.95": { | |
| "n": 193, | |
| "errors": 13, | |
| "error_rate": 0.06735751295336788 | |
| }, | |
| "0.99": { | |
| "n": 154, | |
| "errors": 4, | |
| "error_rate": 0.025974025974025976 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5020576131687243, | |
| "accuracy": 0.9836065573770492, | |
| "confidence_cutoff": 0.9985267483650163 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8024691358024691, | |
| "accuracy": 0.9230769230769231, | |
| "confidence_cutoff": 0.946113674977154 | |
| } | |
| } | |
| }, | |
| "dns_off_task_reply": { | |
| "n": 4, | |
| "nll": 2.500105858228899, | |
| "acc": 0.25, | |
| "ece": 0.7354215562262277, | |
| "brier": 1.1856881009881057, | |
| "mean_conf": 0.7180991063824902, | |
| "confident_error_rate": 0.25, | |
| "coverage_at_0_9": 0.25, | |
| "accuracy_at_0_9": 0.0, | |
| "coverage_at_5pct_error": 0.0, | |
| "coverage_at_1pct_error": 0.0, | |
| "aurc": 0.9375, | |
| "error_rate_at_0_9": 1.0, | |
| "confidence_bias": 0.4680991063824902, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 1, | |
| "errors": 1, | |
| "error_rate": 1.0 | |
| }, | |
| "0.95": { | |
| "n": 1, | |
| "errors": 1, | |
| "error_rate": 1.0 | |
| }, | |
| "0.99": { | |
| "n": 1, | |
| "errors": 1, | |
| "error_rate": 1.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.0, | |
| "confidence_cutoff": 0.7394568794916744 | |
| }, | |
| "0.8": { | |
| "coverage": 1.0, | |
| "accuracy": 0.25, | |
| "confidence_cutoff": 0.465355100312525 | |
| } | |
| } | |
| }, | |
| "dns_unhelpful_reply": { | |
| "n": 4, | |
| "nll": 0.6130712887407269, | |
| "acc": 0.75, | |
| "ece": 0.2694959031277442, | |
| "brier": 0.34519095756377294, | |
| "mean_conf": 0.7624970557751488, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.5, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 0.75, | |
| "coverage_at_1pct_error": 0.75, | |
| "aurc": 0.0625, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": 0.012497055775148813, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 2, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 1, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 0, | |
| "errors": 0, | |
| "error_rate": null | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9232891824527384 | |
| }, | |
| "0.8": { | |
| "coverage": 1.0, | |
| "accuracy": 0.75, | |
| "confidence_cutoff": 0.563985917805786 | |
| } | |
| } | |
| }, | |
| "dns_without_reply": { | |
| "n": 4, | |
| "nll": 0.6878185272523656, | |
| "acc": 0.5, | |
| "ece": 0.20221082782282854, | |
| "brier": 0.5043315891024525, | |
| "mean_conf": 0.7000800429377261, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.25, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 0.25, | |
| "coverage_at_1pct_error": 0.25, | |
| "aurc": 0.41666666666666663, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": 0.20008004293772608, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 1, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 1, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 1, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.5, | |
| "confidence_cutoff": 0.6943924514728984 | |
| }, | |
| "0.8": { | |
| "coverage": 1.0, | |
| "accuracy": 0.5, | |
| "confidence_cutoff": 0.5490827128017757 | |
| } | |
| } | |
| }, | |
| "none_absent": { | |
| "n": 3, | |
| "nll": 1.3777335821359413, | |
| "acc": 0.6666666666666666, | |
| "ece": 0.24885046106665176, | |
| "brier": 0.5885968900899531, | |
| "mean_conf": 0.9151737396988762, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.3333333333333333, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 0.6666666666666666, | |
| "coverage_at_1pct_error": 0.6666666666666666, | |
| "aurc": 0.1111111111111111, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": 0.24850707303220954, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 1, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 1, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 1, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.6666666666666666, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.8739663040318306 | |
| }, | |
| "0.8": { | |
| "coverage": 1.0, | |
| "accuracy": 0.6666666666666666, | |
| "confidence_cutoff": 0.8720699971164613 | |
| } | |
| } | |
| }, | |
| "none_present": { | |
| "n": 3, | |
| "nll": 3.3971590445247757, | |
| "acc": 0.0, | |
| "ece": 0.806803931885096, | |
| "brier": 1.589050038207996, | |
| "mean_conf": 0.8068039318850961, | |
| "confident_error_rate": 0.3333333333333333, | |
| "coverage_at_0_9": 0.3333333333333333, | |
| "accuracy_at_0_9": 0.0, | |
| "coverage_at_5pct_error": 0.0, | |
| "coverage_at_1pct_error": 0.0, | |
| "aurc": 1.0, | |
| "error_rate_at_0_9": 1.0, | |
| "confidence_bias": 0.8068039318850961, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 1, | |
| "errors": 1, | |
| "error_rate": 1.0 | |
| }, | |
| "0.95": { | |
| "n": 1, | |
| "errors": 1, | |
| "error_rate": 1.0 | |
| }, | |
| "0.99": { | |
| "n": 0, | |
| "errors": 0, | |
| "error_rate": null | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.6666666666666666, | |
| "accuracy": 0.0, | |
| "confidence_cutoff": 0.8592945698759779 | |
| }, | |
| "0.8": { | |
| "coverage": 1.0, | |
| "accuracy": 0.0, | |
| "confidence_cutoff": 0.5949657569957464 | |
| } | |
| } | |
| }, | |
| "operator_terminated": { | |
| "n": 4, | |
| "nll": 1.0359158594833722, | |
| "acc": 0.75, | |
| "ece": 0.2925896655492872, | |
| "brier": 0.4933779585120464, | |
| "mean_conf": 0.9106235817198012, | |
| "confident_error_rate": 0.25, | |
| "coverage_at_0_9": 0.75, | |
| "accuracy_at_0_9": 0.6666666666666666, | |
| "coverage_at_5pct_error": 0.5, | |
| "coverage_at_1pct_error": 0.5, | |
| "aurc": 0.14583333333333331, | |
| "error_rate_at_0_9": 0.3333333333333333, | |
| "confidence_bias": 0.16062358171980118, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 3, | |
| "errors": 1, | |
| "error_rate": 0.3333333333333333 | |
| }, | |
| "0.95": { | |
| "n": 2, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 1, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9713811910576418 | |
| }, | |
| "0.8": { | |
| "coverage": 1.0, | |
| "accuracy": 0.75, | |
| "confidence_cutoff": 0.736067832341028 | |
| } | |
| } | |
| }, | |
| "ordinary_resolution": { | |
| "n": 4, | |
| "nll": 0.04811475260764305, | |
| "acc": 1.0, | |
| "ece": 0.04485818654799875, | |
| "brier": 0.011362447845748204, | |
| "mean_conf": 0.9551418134520012, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.75, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 1.0, | |
| "aurc": 0.0, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": -0.04485818654799878, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 3, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 3, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 2, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9973615074301722 | |
| }, | |
| "0.8": { | |
| "coverage": 1.0, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.848997818390719 | |
| } | |
| } | |
| }, | |
| "permuted": { | |
| "n": 3, | |
| "nll": 1.5849320188552285, | |
| "acc": 0.3333333333333333, | |
| "ece": 0.5115039138500523, | |
| "brier": 0.948500922906351, | |
| "mean_conf": 0.834218301404813, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.3333333333333333, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 0.3333333333333333, | |
| "coverage_at_1pct_error": 0.3333333333333333, | |
| "aurc": 0.38888888888888884, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": 0.5008849680714798, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 1, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 1, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 0, | |
| "errors": 0, | |
| "error_rate": null | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.6666666666666666, | |
| "accuracy": 0.5, | |
| "confidence_cutoff": 0.8701283299219073 | |
| }, | |
| "0.8": { | |
| "coverage": 1.0, | |
| "accuracy": 0.3333333333333333, | |
| "confidence_cutoff": 0.6484549929603911 | |
| } | |
| } | |
| }, | |
| "review_acknowledged": { | |
| "n": 4, | |
| "nll": 0.9430886337427746, | |
| "acc": 0.75, | |
| "ece": 0.26428833978133903, | |
| "brier": 0.46621510579801406, | |
| "mean_conf": 0.9076209540563065, | |
| "confident_error_rate": 0.25, | |
| "coverage_at_0_9": 0.75, | |
| "accuracy_at_0_9": 0.6666666666666666, | |
| "coverage_at_5pct_error": 0.5, | |
| "coverage_at_1pct_error": 0.5, | |
| "aurc": 0.14583333333333331, | |
| "error_rate_at_0_9": 0.3333333333333333, | |
| "confidence_bias": 0.1576209540563065, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 3, | |
| "errors": 1, | |
| "error_rate": 0.3333333333333333 | |
| }, | |
| "0.95": { | |
| "n": 1, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 1, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9371813046912169 | |
| }, | |
| "0.8": { | |
| "coverage": 1.0, | |
| "accuracy": 0.75, | |
| "confidence_cutoff": 0.786665228549935 | |
| } | |
| } | |
| } | |
| }, | |
| "heldout_tasks": { | |
| "composition_held_and_or": { | |
| "n": 32, | |
| "nll": 0.24171629359001318, | |
| "acc": 0.90625, | |
| "ece": 0.08267706695037225, | |
| "brier": 0.1580607438572586, | |
| "mean_conf": 0.9889270669503722, | |
| "confident_error_rate": 0.09375, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 0.90625, | |
| "coverage_at_5pct_error": 0.9375, | |
| "coverage_at_1pct_error": 0.90625, | |
| "aurc": 0.0069010416666666664, | |
| "error_rate_at_0_9": 0.09375, | |
| "confidence_bias": 0.08267706695037225, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 32, | |
| "errors": 3, | |
| "error_rate": 0.09375 | |
| }, | |
| "0.95": { | |
| "n": 30, | |
| "errors": 1, | |
| "error_rate": 0.03333333333333333 | |
| }, | |
| "0.99": { | |
| "n": 26, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999364856833449 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8125, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9996934954887139 | |
| } | |
| } | |
| }, | |
| "contrastive_authorization": { | |
| "n": 16, | |
| "nll": 1.502653141036028e-05, | |
| "acc": 1.0, | |
| "ece": 1.50264042420023e-05, | |
| "brier": 5.139828295030656e-10, | |
| "mean_conf": 0.999984973595758, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 1.0, | |
| "aurc": 0.0, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": -1.50264042420023e-05, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 16, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 16, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 16, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999862890472545 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8125, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999813198967473 | |
| } | |
| } | |
| }, | |
| "emotion": { | |
| "n": 8, | |
| "nll": 1.4194273414243654, | |
| "acc": 0.625, | |
| "ece": 0.3420785503418361, | |
| "brier": 0.6845960520300963, | |
| "mean_conf": 0.967078550341836, | |
| "confident_error_rate": 0.25, | |
| "coverage_at_0_9": 0.875, | |
| "accuracy_at_0_9": 0.7142857142857143, | |
| "coverage_at_5pct_error": 0.5, | |
| "coverage_at_1pct_error": 0.5, | |
| "aurc": 0.12842261904761904, | |
| "error_rate_at_0_9": 0.2857142857142857, | |
| "confidence_bias": 0.342078550341836, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 7, | |
| "errors": 2, | |
| "error_rate": 0.2857142857142857 | |
| }, | |
| "0.95": { | |
| "n": 5, | |
| "errors": 1, | |
| "error_rate": 0.2 | |
| }, | |
| "0.99": { | |
| "n": 3, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9869563807629563 | |
| }, | |
| "0.8": { | |
| "coverage": 0.875, | |
| "accuracy": 0.7142857142857143, | |
| "confidence_cutoff": 0.936063568486461 | |
| } | |
| } | |
| }, | |
| "mmlu": { | |
| "n": 8, | |
| "nll": 1.3129749769552814, | |
| "acc": 0.625, | |
| "ece": 0.15765322690405312, | |
| "brier": 0.6484351711065982, | |
| "mean_conf": 0.7567759888850003, | |
| "confident_error_rate": 0.125, | |
| "coverage_at_0_9": 0.5, | |
| "accuracy_at_0_9": 0.75, | |
| "coverage_at_5pct_error": 0.375, | |
| "coverage_at_1pct_error": 0.375, | |
| "aurc": 0.22336309523809525, | |
| "error_rate_at_0_9": 0.25, | |
| "confidence_bias": 0.1317759888850003, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 4, | |
| "errors": 1, | |
| "error_rate": 0.25 | |
| }, | |
| "0.95": { | |
| "n": 3, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 1, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.75, | |
| "confidence_cutoff": 0.9327223999584052 | |
| }, | |
| "0.8": { | |
| "coverage": 0.875, | |
| "accuracy": 0.5714285714285714, | |
| "confidence_cutoff": 0.485476400811401 | |
| } | |
| } | |
| }, | |
| "otrf_sysmon_file": { | |
| "n": 16, | |
| "nll": 0.008605175298168915, | |
| "acc": 1.0, | |
| "ece": 0.008437849080092708, | |
| "brier": 0.0005211762382657875, | |
| "mean_conf": 0.9915621509199073, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 1.0, | |
| "aurc": 0.0, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": -0.008437849080092708, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 16, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 15, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 13, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9989837483137961 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8125, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9925042879134804 | |
| } | |
| } | |
| }, | |
| "otrf_sysmon_join": { | |
| "n": 16, | |
| "nll": 0.12967885980971613, | |
| "acc": 0.9375, | |
| "ece": 0.0857233928404766, | |
| "brier": 0.08146985002971384, | |
| "mean_conf": 0.946506108546294, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 0.6875, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 0.9375, | |
| "coverage_at_1pct_error": 0.9375, | |
| "aurc": 0.00390625, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": 0.009006108546294023, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 11, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 11, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 9, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9970209747654696 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8125, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.8702734279589676 | |
| } | |
| } | |
| }, | |
| "otrf_sysmon_process": { | |
| "n": 24, | |
| "nll": 0.16156109121321785, | |
| "acc": 0.9583333333333334, | |
| "ece": 0.05273169620250518, | |
| "brier": 0.0899182770612567, | |
| "mean_conf": 0.9768730534919899, | |
| "confident_error_rate": 0.041666666666666664, | |
| "coverage_at_0_9": 0.9583333333333334, | |
| "accuracy_at_0_9": 0.9565217391304348, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 0.9166666666666666, | |
| "aurc": 0.0035477053140096615, | |
| "error_rate_at_0_9": 0.043478260869565216, | |
| "confidence_bias": 0.01853972015865657, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 23, | |
| "errors": 1, | |
| "error_rate": 0.043478260869565216 | |
| }, | |
| "0.95": { | |
| "n": 22, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 19, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9994396085787187 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8333333333333334, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9832554759400715 | |
| } | |
| } | |
| }, | |
| "otrf_sysmon_registry": { | |
| "n": 8, | |
| "nll": 0.010723606364118954, | |
| "acc": 1.0, | |
| "ece": 0.010542385937563847, | |
| "brier": 0.0006959554565011166, | |
| "mean_conf": 0.9894576140624362, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 1.0, | |
| "aurc": 0.0, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": -0.010542385937563847, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 8, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 8, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 5, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9972651302471073 | |
| }, | |
| "0.8": { | |
| "coverage": 0.875, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9840692701748682 | |
| } | |
| } | |
| }, | |
| "paws": { | |
| "n": 8, | |
| "nll": 1.0368545966100273, | |
| "acc": 0.75, | |
| "ece": 0.22498828525853157, | |
| "brier": 0.34163600039007924, | |
| "mean_conf": 0.9122532529823204, | |
| "confident_error_rate": 0.125, | |
| "coverage_at_0_9": 0.75, | |
| "accuracy_at_0_9": 0.8333333333333334, | |
| "coverage_at_5pct_error": 0.5, | |
| "coverage_at_1pct_error": 0.5, | |
| "aurc": 0.09494047619047619, | |
| "error_rate_at_0_9": 0.16666666666666666, | |
| "confidence_bias": 0.1622532529823204, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 6, | |
| "errors": 1, | |
| "error_rate": 0.16666666666666666 | |
| }, | |
| "0.95": { | |
| "n": 6, | |
| "errors": 1, | |
| "error_rate": 0.16666666666666666 | |
| }, | |
| "0.99": { | |
| "n": 6, | |
| "errors": 1, | |
| "error_rate": 0.16666666666666666 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9992691391151949 | |
| }, | |
| "0.8": { | |
| "coverage": 0.875, | |
| "accuracy": 0.8571428571428571, | |
| "confidence_cutoff": 0.749059870895155 | |
| } | |
| } | |
| }, | |
| "qnli": { | |
| "n": 8, | |
| "nll": 0.005181466224742151, | |
| "acc": 1.0, | |
| "ece": 0.005129334884136472, | |
| "brier": 0.00020524982613720548, | |
| "mean_conf": 0.9948706651158635, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 1.0, | |
| "aurc": 0.0, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": -0.005129334884136472, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 8, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 8, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 6, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.999952371295075 | |
| }, | |
| "0.8": { | |
| "coverage": 0.875, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.98872862957213 | |
| } | |
| } | |
| }, | |
| "sciq": { | |
| "n": 8, | |
| "nll": 0.00023928943016782004, | |
| "acc": 1.0, | |
| "ece": 0.0002391650142747892, | |
| "brier": 4.955209174865095e-07, | |
| "mean_conf": 0.9997608349857252, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 1.0, | |
| "aurc": 0.0, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": -0.0002391650142747892, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 8, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 8, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 8, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999911919978735 | |
| }, | |
| "0.8": { | |
| "coverage": 0.875, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9994259298933852 | |
| } | |
| } | |
| }, | |
| "sev_swarmtraces_manual_credential": { | |
| "n": 40, | |
| "nll": 0.9530052125004369, | |
| "acc": 0.825, | |
| "ece": 0.17316335764162732, | |
| "brier": 0.3580423587545788, | |
| "mean_conf": 0.9202306277592299, | |
| "confident_error_rate": 0.15, | |
| "coverage_at_0_9": 0.75, | |
| "accuracy_at_0_9": 0.8, | |
| "coverage_at_5pct_error": 0.225, | |
| "coverage_at_1pct_error": 0.225, | |
| "aurc": 0.10718612602417658, | |
| "error_rate_at_0_9": 0.2, | |
| "confidence_bias": 0.09523062775922997, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 30, | |
| "errors": 6, | |
| "error_rate": 0.2 | |
| }, | |
| "0.95": { | |
| "n": 26, | |
| "errors": 3, | |
| "error_rate": 0.11538461538461539 | |
| }, | |
| "0.99": { | |
| "n": 15, | |
| "errors": 1, | |
| "error_rate": 0.06666666666666667 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.9, | |
| "confidence_cutoff": 0.9774245184450835 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.8125, | |
| "confidence_cutoff": 0.8542392185801473 | |
| } | |
| } | |
| }, | |
| "sev_swarmtraces_manual_flow": { | |
| "n": 40, | |
| "nll": 1.485896746743676, | |
| "acc": 0.75, | |
| "ece": 0.21977756775377905, | |
| "brier": 0.43299049842888415, | |
| "mean_conf": 0.9214803040956191, | |
| "confident_error_rate": 0.15, | |
| "coverage_at_0_9": 0.725, | |
| "accuracy_at_0_9": 0.7931034482758621, | |
| "coverage_at_5pct_error": 0.1, | |
| "coverage_at_1pct_error": 0.1, | |
| "aurc": 0.14190456225170725, | |
| "error_rate_at_0_9": 0.20689655172413793, | |
| "confidence_bias": 0.1714803040956191, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 29, | |
| "errors": 6, | |
| "error_rate": 0.20689655172413793 | |
| }, | |
| "0.95": { | |
| "n": 27, | |
| "errors": 6, | |
| "error_rate": 0.2222222222222222 | |
| }, | |
| "0.99": { | |
| "n": 21, | |
| "errors": 2, | |
| "error_rate": 0.09523809523809523 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 0.9, | |
| "confidence_cutoff": 0.9901066734665328 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8, | |
| "accuracy": 0.8125, | |
| "confidence_cutoff": 0.8291658959545783 | |
| } | |
| } | |
| }, | |
| "sev_swarmtraces_manual_prerequisite": { | |
| "n": 3, | |
| "nll": 1.0331257533433365e-05, | |
| "acc": 1.0, | |
| "ece": 1.0331183196821137e-05, | |
| "brier": 2.5195789327524225e-10, | |
| "mean_conf": 0.9999896688168032, | |
| "confident_error_rate": 0.0, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 1.0, | |
| "coverage_at_5pct_error": 1.0, | |
| "coverage_at_1pct_error": 1.0, | |
| "aurc": 0.0, | |
| "error_rate_at_0_9": 0.0, | |
| "confidence_bias": -1.0331183196821137e-05, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 3, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.95": { | |
| "n": 3, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "0.99": { | |
| "n": 3, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.6666666666666666, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999897312178962 | |
| }, | |
| "0.8": { | |
| "coverage": 1.0, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9999810314632929 | |
| } | |
| } | |
| }, | |
| "tweet_offensive": { | |
| "n": 8, | |
| "nll": 0.7172428487540772, | |
| "acc": 0.75, | |
| "ece": 0.2179639808956667, | |
| "brier": 0.44120571426799937, | |
| "mean_conf": 0.9679639808956667, | |
| "confident_error_rate": 0.25, | |
| "coverage_at_0_9": 1.0, | |
| "accuracy_at_0_9": 0.75, | |
| "coverage_at_5pct_error": 0.5, | |
| "coverage_at_1pct_error": 0.5, | |
| "aurc": 0.09494047619047619, | |
| "error_rate_at_0_9": 0.25, | |
| "confidence_bias": 0.2179639808956667, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 8, | |
| "errors": 2, | |
| "error_rate": 0.25 | |
| }, | |
| "0.95": { | |
| "n": 5, | |
| "errors": 1, | |
| "error_rate": 0.2 | |
| }, | |
| "0.99": { | |
| "n": 3, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5, | |
| "accuracy": 1.0, | |
| "confidence_cutoff": 0.9897168920827885 | |
| }, | |
| "0.8": { | |
| "coverage": 0.875, | |
| "accuracy": 0.8571428571428571, | |
| "confidence_cutoff": 0.940377631626033 | |
| } | |
| } | |
| } | |
| }, | |
| "permutation": { | |
| "n": 3, | |
| "mean_max_delta": 0.04297798881434687, | |
| "flip_rate": 0.0 | |
| }, | |
| "temperature": 1.6817928305074288, | |
| "calibrated_clean": { | |
| "n": 243, | |
| "nll": 0.4460227427836622, | |
| "acc": 0.8683127572016461, | |
| "ece": 0.04490914804947624, | |
| "brier": 0.21677989484802473, | |
| "mean_conf": 0.9016047263613403, | |
| "confident_error_rate": 0.024691358024691357, | |
| "coverage_at_0_9": 0.6831275720164609, | |
| "accuracy_at_0_9": 0.963855421686747, | |
| "coverage_at_5pct_error": 0.7489711934156379, | |
| "coverage_at_1pct_error": 0.4156378600823045, | |
| "aurc": 0.03366327644063936, | |
| "error_rate_at_0_9": 0.03614457831325301, | |
| "confidence_bias": 0.033291969159694124, | |
| "top_bins": { | |
| "0.9": { | |
| "n": 166, | |
| "errors": 6, | |
| "error_rate": 0.03614457831325301 | |
| }, | |
| "0.95": { | |
| "n": 141, | |
| "errors": 2, | |
| "error_rate": 0.014184397163120567 | |
| }, | |
| "0.99": { | |
| "n": 81, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| } | |
| }, | |
| "selective": { | |
| "0.5": { | |
| "coverage": 0.5020576131687243, | |
| "accuracy": 0.9836065573770492, | |
| "confidence_cutoff": 0.9739727890189261 | |
| }, | |
| "0.8": { | |
| "coverage": 0.8024691358024691, | |
| "accuracy": 0.9282051282051282, | |
| "confidence_cutoff": 0.8229542441861438 | |
| } | |
| } | |
| }, | |
| "metric_policy": { | |
| "version": 2, | |
| "selective_ties": "whole_confidence_groups", | |
| "coverage_at_error": "in-sample maximum over confidence thresholds; not a deployed error guarantee", | |
| "aurc": "right-step integral over whole confidence groups", | |
| "confident_error_rate": "high-confidence errors divided by all questions", | |
| "error_rate_at_0_9": "errors divided by questions accepted at p_max >= 0.9", | |
| "nll": "exact from logits when recorded; otherwise from floored probabilities", | |
| "nll_floor": 1e-09, | |
| "renormalize_returned_probabilities": true, | |
| "raw_sums_outside_1e_5": 0, | |
| "returned_zeros": 0 | |
| }, | |
| "coverage": { | |
| "requested_records": 185, | |
| "requested_questions": 284, | |
| "evaluated_records": 185, | |
| "evaluated_questions": 284, | |
| "rejected_records": 0, | |
| "truncated_records": 0 | |
| }, | |
| "latency_ms": { | |
| "median": 49.463423999895895, | |
| "p95": 189.5706840000457 | |
| }, | |
| "calibration": { | |
| "inference_temperature": 1.0, | |
| "additional_temperature": 1.6817928305074288, | |
| "logits_recorded": true | |
| }, | |
| "suite_sha256": "adde94227c959c3bfd62ee2ca27d8a73d5b0fff96bf0500c627645e5a7d72f37" | |
| }, | |
| "provenance": { | |
| "config": { | |
| "epochs": 1, | |
| "seed": 4, | |
| "lr": 2.5e-06, | |
| "lora": 16, | |
| "accum": 2, | |
| "batch": 4, | |
| "perm_kl": 0, | |
| "perm_frac": 0.3, | |
| "ord_w": 0.0, | |
| "p_none": 0, | |
| "p_none_distract": 0, | |
| "p_distract": 0, | |
| "p_none_pair": 0, | |
| "synthetic_repeat": 1, | |
| "public_frac": 1, | |
| "head_lr": 0.0, | |
| "weight_decay": 0.01, | |
| "anchor_w": 0.0, | |
| "label_smoothing": 0.0, | |
| "brier_w": 0.0, | |
| "focal_gamma": 0.0, | |
| "base": "Qwen/Qwen3.5-4B-Base", | |
| "base_revision": "1001bb4d826a52d1f399e183466143f4da7b741b", | |
| "init_from": "macmacmacmac/Sev-4B@a1824aefba305fda86e3503b895a7d9b3871f79a", | |
| "lora_targets": "all", | |
| "head_dim": 256, | |
| "weights_dtype": "fp32", | |
| "dtype": "bf16", | |
| "checkpointing": 1, | |
| "option_isolation": 0, | |
| "special_embeddings": 0 | |
| }, | |
| "config_sha256": "01ce0c9f84977e5c32d40dbd5c012634208c7770615b9e7d9d6f5950c042706f", | |
| "suite_sha256": "3b9a80dfd212b6932b66ea520c35ab1a3b19e132a81af1b6b7b306d776a70a02", | |
| "source_hashes": { | |
| "kev/__init__.py": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", | |
| "kev/anchors.py": "6963eafdb276db5a6c94d939eae675c761555553b8d0f963ffd803448beaabbb", | |
| "kev/api.py": "7bffacfb762c626b8bc2f670f350295af5ccb0883dbe90239c7d2f8e5ef56582", | |
| "kev/autoresearch.py": "f7d7fabb9c0df7065bee3fec4aa4bee7028c5d1565847aefe2d74e3d7d40ed8a", | |
| "kev/benchmark.py": "8d486659a9036102386b077fcbd197fc0d85ae7752a4711666d6b3a95622b26f", | |
| "kev/calibrate.py": "c1eff4744fabd349e8abca86777a7aa0cbea44904c8223d3b61fca3d43741519", | |
| "kev/checkpoint.py": "9f1dbc5d3d7d3050aca4ee34e0578c9ad76b7a2a7467dfc7a4ad65e3c471db59", | |
| "kev/compare.py": "3606dbf98bb305d66420158498cb837304d2edb8dab01cdaf2ec42964bef3435", | |
| "kev/composition.py": "f335ed17e18e0a544893db5e22b9a059e6ce1b2e14dbb863ac7d7bbf8f3e0536", | |
| "kev/contrastive.py": "cbb979aa5d40265ad0e64695f94b281d91751fa405811ddfa8212fede111edcf", | |
| "kev/data.py": "a5a5e200f56b60e4bf30a195a4cc87a74afddae15999ec48c7543a4f9b59f71c", | |
| "kev/device.py": "d1677fd98ec0979c7284546306e34e0d09298ca4042fc39eb2b32a74f4e975c4", | |
| "kev/evaluate.py": "999264f2837dcfbf2ec93601aa4745e701698ab850a43ad89324672a6604965c", | |
| "kev/experiment.py": "1a5ca47d2b3d236e53c87e8c4197704f162c6692aa008521d31ea491945693f0", | |
| "kev/jev.py": "acd4cc3f1844e438cc83a8d409c15ef78a5ef64d39ea10f583d75a6c7646b243", | |
| "kev/metrics.py": "db0930d470c0ce16f16dcaf726d49a7a103973a5296cefc5259d1e68707d882b", | |
| "kev/mlx_model.py": "f582428796faf6bf962b772a69a6227ac3259ccbd3215c0c8b55ce28dbbd0909", | |
| "kev/model.py": "eac0f56c807b85b5c4077483d922e6bb03f07890de2835efd9372cf20cd01b8e", | |
| "kev/plot.py": "0874bcff2885d8155a1cceade0de8a275a7163d3c3fd6aa0c294e8ccf5ff7e02", | |
| "kev/predictors.py": "b2a66dd9f0f0a8026bc94603383bacfdd622e75d1c935173997175606626a9b3", | |
| "kev/publish.py": "8abc9bcf4a01365697b05cf3c5ad0013462bd92d005f5616954e40ab1100c7aa", | |
| "kev/serve.py": "c210b1f4598e64b49c399f73603ed372f4314c165ceda50e1340c0466ec1c735", | |
| "kev/study_v3.py": "7891150aa623e4479c7c789d4dc4662f186132b37b7bac1e1f072b9e08ee13e3", | |
| "kev/suite.py": "c5e5e27f2fed871b547a021d180b0a7f4a0542a488cce4ee02ad936f433441db", | |
| "kev/train.py": "a2d85632d73760fb3efe51627ff4fde6af3100ed1c34e75d290c1b00c9899aa9", | |
| "kev/transfer_v9.py": "0902409742151250a28af1fd8f42258b70fcc161f3deed3ee35fe3f473f3c763", | |
| "modal_app.py": "639577258f4d581daefa51dad639961280ce92de9da256316ab4124f005a53fb", | |
| "pyproject.toml": "39ec40f14c88598dee7ac98fb859a5a44e22337235a3064ebd5e89036ce81e30", | |
| "uv.lock": "a9922dbb89acdef78299fd2b4a8c3f7f0fa1b2bc08b55595b6926fa785a9c466" | |
| }, | |
| "git_commit": "740b511bb562cf29430a85457b9e54389a3f21cd", | |
| "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, | |
| "measured_checkpoint": { | |
| "requested": "/runs/sev-r2-response-policy-4b-v2/00-trial-0/checkpoint", | |
| "resolved": "/runs/sev-r2-response-policy-4b-v2/00-trial-0/checkpoint", | |
| "head_sha256": "506dcd3587847917a288d95757c497c15a2aef8e2d4bc6523b04ad991c961a2b", | |
| "adapter_sha256": "fa1916b34fe1eeb10d15c36927c225df43115407d7c97b4f879bba3102c3ed21", | |
| "inference_temperature": 1.0 | |
| } | |
| }, | |
| "mechanism_checks": { | |
| "n": 24, | |
| "packed_max_delta": 1.923413947224617e-06, | |
| "sibling_max_delta": 9.5367431640625e-07, | |
| "tolerance": 0.001, | |
| "passed": true | |
| }, | |
| "gates": { | |
| "passed": true, | |
| "checks": { | |
| "complete_coverage": true, | |
| "isolation_and_packing": true, | |
| "transfer_complete": true, | |
| "heldout_pairs_at_least_70pct": true, | |
| "transfer_confident_errors_below_10pct": true | |
| }, | |
| "policy": "Research screening only: 0.001 isolation; 5pp task regression; 70% heldout pair correctness; <=10% confident errors; no automatic release." | |
| }, | |
| "calibration_fit": { | |
| "temperature": 1.6817928305074288, | |
| "aggregation": "micro", | |
| "objective": "raw-logit NLL", | |
| "split": "calibration", | |
| "rows_sha256": "026b68705b7ac76bc4361bc2fda1cbfe74265b436a807ea68bca77f87d3cf9da", | |
| "suite_sha256": "3b9a80dfd212b6932b66ea520c35ab1a3b19e132a81af1b6b7b306d776a70a02", | |
| "n": 2674 | |
| }, | |
| "wall_seconds": 1285.6242614819998, | |
| "promotable": false, | |
| "test_evaluated": false, | |
| "training_resources": { | |
| "wall_seconds": 887.5156674385071, | |
| "records_seen": 6577, | |
| "requested_records": 6577, | |
| "truncated_records": 0, | |
| "rejected_records": 0, | |
| "optimizer_steps": 823, | |
| "forward_tokens": 1505379, | |
| "peak_device_bytes": 22225622528, | |
| "device": "cuda", | |
| "dtype": "bf16", | |
| "batch": 4, | |
| "peak_rss_bytes": 31556661248 | |
| } | |
| } | |