MetaModel
This model is a merge of the following models made with
mergekit
:
🧩 Configuration
slices:
- sources:
- model: jeonsworld/CarbonVillain-en-10.7B-v4
layer_range: [0 , 48 ]
- model: kekmodel/StopCarbon-10.7B-v5
layer_range: [0 , 48 ]
merge_method: slerp
base_model: jeonsworld/CarbonVillain-en-10.7B-v4
parameters:
t:
- filter: self_attn
value: [0 , 0.5 , 0.3 , 0.7 , 1 ]
- filter: mlp
value: [1 , 0.5 , 0.7 , 0.3 , 0 ]
- value: 0.5
dtype: bfloat16
Dataset Card for Evaluation run of gagan3012/MetaModel
Dataset automatically created during the evaluation run of model
gagan3012/MetaModel
on the
Open LLM Leaderboard
.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the
Open LLM Leaderboard
).
To load the details from a run, you can for instance do the following:
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_gagan3012__MetaModel" ,
"harness_winogrande_5" ,
split="train" )
Latest results
These are the
latest results from run 2024-01-04T14:09:43.780941
(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
{
"all" : {
"acc" : 0.6664380298886512 ,
"acc_stderr" : 0.031642195230944255 ,
"acc_norm" : 0.6671639222858992 ,
"acc_norm_stderr" : 0.03228745343467652 ,
"mc1" : 0.5691554467564259 ,
"mc1_stderr" : 0.01733527247533237 ,
"mc2" : 0.7184177934834866 ,
"mc2_stderr" : 0.014995634120330182
},
"harness|arc:challenge|25" : {
"acc" : 0.6843003412969283 ,
"acc_stderr" : 0.013582571095815291 ,
"acc_norm" : 0.7107508532423208 ,
"acc_norm_stderr" : 0.01325001257939344
},
"harness|hellaswag|10" : {
"acc" : 0.7132045409281019 ,
"acc_stderr" : 0.004513409114983828 ,
"acc_norm" : 0.8844851623182632 ,
"acc_norm_stderr" : 0.0031898897894046684
},
"harness|hendrycksTest-abstract_algebra|5" : {
"acc" : 0.43 ,
"acc_stderr" : 0.049756985195624284 ,
"acc_norm" : 0.43 ,
"acc_norm_stderr" : 0.049756985195624284
},
"harness|hendrycksTest-anatomy|5" : {
"acc" : 0.6148148148148148 ,
"acc_stderr" : 0.04203921040156279 ,
"acc_norm" : 0.6148148148148148 ,
"acc_norm_stderr" : 0.04203921040156279
},
"harness|hendrycksTest-astronomy|5" : {
"acc" : 0.743421052631579 ,
"acc_stderr" : 0.0355418036802569 ,
"acc_norm" : 0.743421052631579 ,
"acc_norm_stderr" : 0.0355418036802569
},
"harness|hendrycksTest-business_ethics|5" : {
"acc" : 0.75 ,
"acc_stderr" : 0.04351941398892446 ,
"acc_norm" : 0.75 ,
"acc_norm_stderr" : 0.04351941398892446
},
"harness|hendrycksTest-clinical_knowledge|5" : {
"acc" : 0.6830188679245283 ,
"acc_stderr" : 0.02863723563980089 ,
"acc_norm" : 0.6830188679245283 ,
"acc_norm_stderr" : 0.02863723563980089
},
"harness|hendrycksTest-college_biology|5" : {
"acc" : 0.7638888888888888 ,
"acc_stderr" : 0.03551446610810826 ,
"acc_norm" : 0.7638888888888888 ,
"acc_norm_stderr" : 0.03551446610810826
},
"harness|hendrycksTest-college_chemistry|5" : {
"acc" : 0.47 ,
"acc_stderr" : 0.050161355804659205 ,
"acc_norm" : 0.47 ,
"acc_norm_stderr" : 0.050161355804659205
},
"harness|hendrycksTest-college_computer_science|5" : {
"acc" : 0.48 ,
"acc_stderr" : 0.05021167315686781 ,
"acc_norm" : 0.48 ,
"acc_norm_stderr" : 0.05021167315686781
},
"harness|hendrycksTest-college_mathematics|5" : {
"acc" : 0.32 ,
"acc_stderr" : 0.046882617226215034 ,
"acc_norm" : 0.32 ,
"acc_norm_stderr" : 0.046882617226215034
},
"harness|hendrycksTest-college_medicine|5" : {
"acc" : 0.6647398843930635 ,
"acc_stderr" : 0.03599586301247077 ,
"acc_norm" : 0.6647398843930635 ,
"acc_norm_stderr" : 0.03599586301247077
},
"harness|hendrycksTest-college_physics|5" : {
"acc" : 0.38235294117647056 ,
"acc_stderr" : 0.04835503696107223 ,
"acc_norm" : 0.38235294117647056 ,
"acc_norm_stderr" : 0.04835503696107223
},
"harness|hendrycksTest-computer_security|5" : {
"acc" : 0.75 ,
"acc_stderr" : 0.04351941398892446 ,
"acc_norm" : 0.75 ,
"acc_norm_stderr" : 0.04351941398892446
},
"harness|hendrycksTest-conceptual_physics|5" : {
"acc" : 0.625531914893617 ,
"acc_stderr" : 0.03163910665367291 ,
"acc_norm" : 0.625531914893617 ,
"acc_norm_stderr" : 0.03163910665367291
},
"harness|hendrycksTest-econometrics|5" : {
"acc" : 0.4824561403508772 ,
"acc_stderr" : 0.04700708033551038 ,
"acc_norm" : 0.4824561403508772 ,
"acc_norm_stderr" : 0.04700708033551038
},
"harness|hendrycksTest-electrical_engineering|5" : {
"acc" : 0.6413793103448275 ,
"acc_stderr" : 0.039966295748767186 ,
"acc_norm" : 0.6413793103448275 ,
"acc_norm_stderr" : 0.039966295748767186
},
"harness|hendrycksTest-elementary_mathematics|5" : {
"acc" : 0.5 ,
"acc_stderr" : 0.025751310131230234 ,
"acc_norm" : 0.5 ,
"acc_norm_stderr" : 0.025751310131230234
},
"harness|hendrycksTest-formal_logic|5" : {
"acc" : 0.42857142857142855 ,
"acc_stderr" : 0.0442626668137991 ,
"acc_norm" : 0.42857142857142855 ,
"acc_norm_stderr" : 0.0442626668137991
},
"harness|hendrycksTest-global_facts|5" : {
"acc" : 0.35 ,
"acc_stderr" : 0.047937248544110196 ,
"acc_norm" : 0.35 ,
"acc_norm_stderr" : 0.047937248544110196
},
"harness|hendrycksTest-high_school_biology|5" : {
"acc" : 0.8129032258064516 ,
"acc_stderr" : 0.022185710092252252 ,
"acc_norm" : 0.8129032258064516 ,
"acc_norm_stderr" : 0.022185710092252252
},
"harness|hendrycksTest-high_school_chemistry|5" : {
"acc" : 0.5073891625615764 ,
"acc_stderr" : 0.035176035403610105 ,
"acc_norm" : 0.5073891625615764 ,
"acc_norm_stderr" : 0.035176035403610105
},
"harness|hendrycksTest-high_school_computer_science|5" : {
"acc" : 0.72 ,
"acc_stderr" : 0.04512608598542128 ,
"acc_norm" : 0.72 ,
"acc_norm_stderr" : 0.04512608598542128
},
"harness|hendrycksTest-high_school_european_history|5" : {
"acc" : 0.8121212121212121 ,
"acc_stderr" : 0.03050193405942914 ,
"acc_norm" : 0.8121212121212121 ,
"acc_norm_stderr" : 0.03050193405942914
},
"harness|hendrycksTest-high_school_geography|5" : {
"acc" : 0.8636363636363636 ,
"acc_stderr" : 0.024450155973189835 ,
"acc_norm" : 0.8636363636363636 ,
"acc_norm_stderr" : 0.024450155973189835
},
"harness|hendrycksTest-high_school_government_and_politics|5" : {
"acc" : 0.8963730569948186 ,
"acc_stderr" : 0.021995311963644244 ,
"acc_norm" : 0.8963730569948186 ,
"acc_norm_stderr" : 0.021995311963644244
},
"harness|hendrycksTest-high_school_macroeconomics|5" : {
"acc" : 0.6692307692307692 ,
"acc_stderr" : 0.02385479568097114 ,
"acc_norm" : 0.6692307692307692 ,
"acc_norm_stderr" : 0.02385479568097114
},
"harness|hendrycksTest-high_school_mathematics|5" : {
"acc" : 0.37037037037037035 ,
"acc_stderr" : 0.02944316932303154 ,
"acc_norm" : 0.37037037037037035 ,
"acc_norm_stderr" : 0.02944316932303154
},
"harness|hendrycksTest-high_school_microeconomics|5" : {
"acc" : 0.7142857142857143 ,
"acc_stderr" : 0.029344572500634332 ,
"acc_norm" : 0.7142857142857143 ,
"acc_norm_stderr" : 0.029344572500634332
},
"harness|hendrycksTest-high_school_physics|5" : {
"acc" : 0.3708609271523179 ,
"acc_stderr" : 0.03943966699183629 ,
"acc_norm" : 0.3708609271523179 ,
"acc_norm_stderr" : 0.03943966699183629
},
"harness|hendrycksTest-high_school_psychology|5" : {
"acc" : 0.8422018348623853 ,
"acc_stderr" : 0.01563002297009246 ,
"acc_norm" : 0.8422018348623853 ,
"acc_norm_stderr" : 0.01563002297009246
},
"harness|hendrycksTest-high_school_statistics|5" : {
"acc" : 0.5740740740740741 ,
"acc_stderr" : 0.03372343271653062 ,
"acc_norm" : 0.5740740740740741 ,
"acc_norm_stderr" : 0.03372343271653062
},
"harness|hendrycksTest-high_school_us_history|5" : {
"acc" : 0.8578431372549019 ,
"acc_stderr" : 0.02450980392156862 ,
"acc_norm" : 0.8578431372549019 ,
"acc_norm_stderr" : 0.02450980392156862
},
"harness|hendrycksTest-high_school_world_history|5" : {
"acc" : 0.8565400843881856 ,
"acc_stderr" : 0.022818291821017012 ,
"acc_norm" : 0.8565400843881856 ,
"acc_norm_stderr" : 0.022818291821017012
},
"harness|hendrycksTest-human_aging|5" : {
"acc" : 0.672645739910314 ,
"acc_stderr" : 0.03149384670994131 ,
"acc_norm" : 0.672645739910314 ,
"acc_norm_stderr" : 0.03149384670994131
},
"harness|hendrycksTest-human_sexuality|5" : {
"acc" : 0.7557251908396947 ,
"acc_stderr" : 0.03768335959728743 ,
"acc_norm" : 0.7557251908396947 ,
"acc_norm_stderr" : 0.03768335959728743
},
"harness|hendrycksTest-international_law|5" : {
"acc" : 0.7851239669421488 ,
"acc_stderr" : 0.037494924487096966 ,
"acc_norm" : 0.7851239669421488 ,
"acc_norm_stderr" : 0.037494924487096966
},
"harness|hendrycksTest-jurisprudence|5" : {
"acc" : 0.8055555555555556 ,
"acc_stderr" : 0.038260763248848646 ,
"acc_norm" : 0.8055555555555556 ,
"acc_norm_stderr" : 0.038260763248848646
},
"harness|hendrycksTest-logical_fallacies|5" : {
"acc" : 0.754601226993865 ,
"acc_stderr" : 0.03380939813943354 ,
"acc_norm" : 0.754601226993865 ,
"acc_norm_stderr" : 0.03380939813943354
},
"harness|hendrycksTest-machine_learning|5" : {
"acc" : 0.4732142857142857 ,
"acc_stderr" : 0.047389751192741546 ,
"acc_norm" : 0.4732142857142857 ,
"acc_norm_stderr" : 0.047389751192741546
},
"harness|hendrycksTest-management|5" : {
"acc" : 0.8446601941747572 ,
"acc_stderr" : 0.035865947385739734 ,
"acc_norm" : 0.8446601941747572 ,
"acc_norm_stderr" : 0.035865947385739734
},
"harness|hendrycksTest-marketing|5" : {
"acc" : 0.8589743589743589 ,
"acc_stderr" : 0.02280138253459753 ,
"acc_norm" : 0.8589743589743589 ,
"acc_norm_stderr" : 0.02280138253459753
},
"harness|hendrycksTest-medical_genetics|5" : {
"acc" : 0.7 ,
"acc_stderr" : 0.046056618647183814 ,
"acc_norm" : 0.7 ,
"acc_norm_stderr" : 0.046056618647183814
},
"harness|hendrycksTest-miscellaneous|5" : {
"acc" : 0.8084291187739464 ,
"acc_stderr" : 0.014072859310451949 ,
"acc_norm" : 0.8084291187739464 ,
"acc_norm_stderr" : 0.014072859310451949
},
"harness|hendrycksTest-moral_disputes|5" : {
"acc" : 0.7572254335260116 ,
"acc_stderr" : 0.023083658586984204 ,
"acc_norm" : 0.7572254335260116 ,
"acc_norm_stderr" : 0.023083658586984204
},
"harness|hendrycksTest-moral_scenarios|5" : {
"acc" : 0.39664804469273746 ,
"acc_stderr" : 0.016361354769822468 ,
"acc_norm" : 0.39664804469273746 ,
"acc_norm_stderr" : 0.016361354769822468
},
"harness|hendrycksTest-nutrition|5" : {
"acc" : 0.7581699346405228 ,
"acc_stderr" : 0.024518195641879334 ,
"acc_norm" : 0.7581699346405228 ,
"acc_norm_stderr" : 0.024518195641879334
},
"harness|hendrycksTest-philosophy|5" : {
"acc" : 0.7202572347266881 ,
"acc_stderr" : 0.025494259350694905 ,
"acc_norm" : 0.7202572347266881 ,
"acc_norm_stderr" : 0.025494259350694905
},
"harness|hendrycksTest-prehistory|5" : {
"acc" : 0.7777777777777778 ,
"acc_stderr" : 0.02313237623454333 ,
"acc_norm" : 0.7777777777777778 ,
"acc_norm_stderr" : 0.02313237623454333
},
"harness|hendrycksTest-professional_accounting|5" : {
"acc" : 0.5035460992907801 ,
"acc_stderr" : 0.02982674915328092 ,
"acc_norm" : 0.5035460992907801 ,
"acc_norm_stderr" : 0.02982674915328092
},
"harness|hendrycksTest-professional_law|5" : {
"acc" : 0.49478487614080835 ,
"acc_stderr" : 0.012769541449652547 ,
"acc_norm" : 0.49478487614080835 ,
"acc_norm_stderr" : 0.012769541449652547
},
"harness|hendrycksTest-professional_medicine|5" : {
"acc" : 0.75 ,
"acc_stderr" : 0.026303648393696036 ,
"acc_norm" : 0.75 ,
"acc_norm_stderr" : 0.026303648393696036
},
"harness|hendrycksTest-professional_psychology|5" : {
"acc" : 0.6813725490196079 ,
"acc_stderr" : 0.018850084696468712 ,
"acc_norm" : 0.6813725490196079 ,
"acc_norm_stderr" : 0.018850084696468712
},
"harness|hendrycksTest-public_relations|5" : {
"acc" : 0.6818181818181818 ,
"acc_stderr" : 0.04461272175910509 ,
"acc_norm" : 0.6818181818181818 ,
"acc_norm_stderr" : 0.04461272175910509
},
"harness|hendrycksTest-security_studies|5" : {
"acc" : 0.746938775510204 ,
"acc_stderr" : 0.027833023871399677 ,
"acc_norm" : 0.746938775510204 ,
"acc_norm_stderr" : 0.027833023871399677
},
"harness|hendrycksTest-sociology|5" : {
"acc" : 0.8258706467661692 ,
"acc_stderr" : 0.026814951200421603 ,
"acc_norm" : 0.8258706467661692 ,
"acc_norm_stderr" : 0.026814951200421603
},
"harness|hendrycksTest-us_foreign_policy|5" : {
"acc" : 0.91 ,
"acc_stderr" : 0.028762349126466125 ,
"acc_norm" : 0.91 ,
"acc_norm_stderr" : 0.028762349126466125
},
"harness|hendrycksTest-virology|5" : {
"acc" : 0.5783132530120482 ,
"acc_stderr" : 0.038444531817709175 ,
"acc_norm" : 0.5783132530120482 ,
"acc_norm_stderr" : 0.038444531817709175
},
"harness|hendrycksTest-world_religions|5" : {
"acc" : 0.7777777777777778 ,
"acc_stderr" : 0.03188578017686398 ,
"acc_norm" : 0.7777777777777778 ,
"acc_norm_stderr" : 0.03188578017686398
},
"harness|truthfulqa:mc|0" : {
"mc1" : 0.5691554467564259 ,
"mc1_stderr" : 0.01733527247533237 ,
"mc2" : 0.7184177934834866 ,
"mc2_stderr" : 0.014995634120330182
},
"harness|winogrande|5" : {
"acc" : 0.8342541436464088 ,
"acc_stderr" : 0.010450899545370632
},
"harness|gsm8k|5" : {
"acc" : 0.6535253980288097 ,
"acc_stderr" : 0.013107179054313398
}
}
Open LLM Leaderboard Evaluation Results
Detailed results can be found
here
Metric
Value
Avg.
74.4
ARC (25-shot)
71.08
HellaSwag (10-shot)
88.45
MMLU (5-shot)
66.26
TruthfulQA (0-shot)
71.84
Winogrande (5-shot)
83.43
GSM8K (5-shot)
65.35
