Commit
•
4042447
1
Parent(s):
c2e800f
Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -3,8 +3,8 @@ pretty_name: Evaluation run of Sao10K/Stheno-1.3-L2-13B
|
|
| 3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
\ [Sao10K/Stheno-1.3-L2-13B](https://huggingface.co/Sao10K/Stheno-1.3-L2-13B) on\
|
| 5 |
\ the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
|
| 6 |
-
\nThe dataset is composed of
|
| 7 |
-
\ evaluated task.\n\nThe dataset has been created from
|
| 8 |
\ found as a specific split in each configuration, the split being named using the\
|
| 9 |
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
|
| 10 |
\nAn additional configuration \"results\" store all the aggregated results of the\
|
|
@@ -12,172 +12,20 @@ dataset_summary: "Dataset automatically created during the evaluation run of mod
|
|
| 12 |
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
|
| 13 |
\nTo load the details from a run, you can for instance do the following:\n```python\n\
|
| 14 |
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Sao10K__Stheno-1.3-L2-13B\"\
|
| 15 |
-
,\n\t\"
|
| 16 |
-
|
| 17 |
\ that their might be results for other tasks in the repos if successive evals didn't\
|
| 18 |
\ cover the same tasks. You find each in the results and the \"latest\" split for\
|
| 19 |
-
\ each eval):\n\n```python\n{\n \"all\": {\n \"
|
| 20 |
-
\ \"
|
| 21 |
-
\ \"
|
| 22 |
-
\ \"
|
| 23 |
-
\ \"
|
| 24 |
-
|
| 25 |
-
\
|
| 26 |
-
\ },\n \"harness|
|
| 27 |
-
\ \"
|
| 28 |
-
\
|
| 29 |
-
: {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \
|
| 30 |
-
\ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \
|
| 31 |
-
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4666666666666667,\n\
|
| 32 |
-
\ \"acc_stderr\": 0.043097329010363554,\n \"acc_norm\": 0.4666666666666667,\n\
|
| 33 |
-
\ \"acc_norm_stderr\": 0.043097329010363554\n },\n \"harness|hendrycksTest-astronomy|5\"\
|
| 34 |
-
: {\n \"acc\": 0.506578947368421,\n \"acc_stderr\": 0.040685900502249704,\n\
|
| 35 |
-
\ \"acc_norm\": 0.506578947368421,\n \"acc_norm_stderr\": 0.040685900502249704\n\
|
| 36 |
-
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.53,\n\
|
| 37 |
-
\ \"acc_stderr\": 0.050161355804659205,\n \"acc_norm\": 0.53,\n \
|
| 38 |
-
\ \"acc_norm_stderr\": 0.050161355804659205\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
|
| 39 |
-
: {\n \"acc\": 0.5471698113207547,\n \"acc_stderr\": 0.030635627957961816,\n\
|
| 40 |
-
\ \"acc_norm\": 0.5471698113207547,\n \"acc_norm_stderr\": 0.030635627957961816\n\
|
| 41 |
-
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.5347222222222222,\n\
|
| 42 |
-
\ \"acc_stderr\": 0.041711158581816184,\n \"acc_norm\": 0.5347222222222222,\n\
|
| 43 |
-
\ \"acc_norm_stderr\": 0.041711158581816184\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
|
| 44 |
-
: {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \
|
| 45 |
-
\ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \
|
| 46 |
-
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
|
| 47 |
-
: 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\": 0.44,\n\
|
| 48 |
-
\ \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
|
| 49 |
-
: {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \
|
| 50 |
-
\ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \
|
| 51 |
-
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.4913294797687861,\n\
|
| 52 |
-
\ \"acc_stderr\": 0.03811890988940412,\n \"acc_norm\": 0.4913294797687861,\n\
|
| 53 |
-
\ \"acc_norm_stderr\": 0.03811890988940412\n },\n \"harness|hendrycksTest-college_physics|5\"\
|
| 54 |
-
: {\n \"acc\": 0.3333333333333333,\n \"acc_stderr\": 0.04690650298201942,\n\
|
| 55 |
-
\ \"acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.04690650298201942\n\
|
| 56 |
-
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
|
| 57 |
-
\ 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\": 0.69,\n\
|
| 58 |
-
\ \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
|
| 59 |
-
: {\n \"acc\": 0.39148936170212767,\n \"acc_stderr\": 0.03190701242326812,\n\
|
| 60 |
-
\ \"acc_norm\": 0.39148936170212767,\n \"acc_norm_stderr\": 0.03190701242326812\n\
|
| 61 |
-
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2982456140350877,\n\
|
| 62 |
-
\ \"acc_stderr\": 0.04303684033537315,\n \"acc_norm\": 0.2982456140350877,\n\
|
| 63 |
-
\ \"acc_norm_stderr\": 0.04303684033537315\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
|
| 64 |
-
: {\n \"acc\": 0.503448275862069,\n \"acc_stderr\": 0.041665675771015785,\n\
|
| 65 |
-
\ \"acc_norm\": 0.503448275862069,\n \"acc_norm_stderr\": 0.041665675771015785\n\
|
| 66 |
-
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
|
| 67 |
-
: 0.2830687830687831,\n \"acc_stderr\": 0.02320139293819498,\n \"\
|
| 68 |
-
acc_norm\": 0.2830687830687831,\n \"acc_norm_stderr\": 0.02320139293819498\n\
|
| 69 |
-
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.35714285714285715,\n\
|
| 70 |
-
\ \"acc_stderr\": 0.042857142857142816,\n \"acc_norm\": 0.35714285714285715,\n\
|
| 71 |
-
\ \"acc_norm_stderr\": 0.042857142857142816\n },\n \"harness|hendrycksTest-global_facts|5\"\
|
| 72 |
-
: {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \
|
| 73 |
-
\ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \
|
| 74 |
-
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.6161290322580645,\n\
|
| 75 |
-
\ \"acc_stderr\": 0.027666182075539645,\n \"acc_norm\": 0.6161290322580645,\n\
|
| 76 |
-
\ \"acc_norm_stderr\": 0.027666182075539645\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
|
| 77 |
-
: {\n \"acc\": 0.4236453201970443,\n \"acc_stderr\": 0.03476725747649038,\n\
|
| 78 |
-
\ \"acc_norm\": 0.4236453201970443,\n \"acc_norm_stderr\": 0.03476725747649038\n\
|
| 79 |
-
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
|
| 80 |
-
\ \"acc\": 0.49,\n \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\"\
|
| 81 |
-
: 0.49,\n \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
|
| 82 |
-
: {\n \"acc\": 0.6424242424242425,\n \"acc_stderr\": 0.03742597043806587,\n\
|
| 83 |
-
\ \"acc_norm\": 0.6424242424242425,\n \"acc_norm_stderr\": 0.03742597043806587\n\
|
| 84 |
-
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
|
| 85 |
-
: 0.6818181818181818,\n \"acc_stderr\": 0.03318477333845331,\n \"\
|
| 86 |
-
acc_norm\": 0.6818181818181818,\n \"acc_norm_stderr\": 0.03318477333845331\n\
|
| 87 |
-
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
|
| 88 |
-
\ \"acc\": 0.7823834196891192,\n \"acc_stderr\": 0.029778663037752964,\n\
|
| 89 |
-
\ \"acc_norm\": 0.7823834196891192,\n \"acc_norm_stderr\": 0.029778663037752964\n\
|
| 90 |
-
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
|
| 91 |
-
\ \"acc\": 0.48205128205128206,\n \"acc_stderr\": 0.025334667080954932,\n\
|
| 92 |
-
\ \"acc_norm\": 0.48205128205128206,\n \"acc_norm_stderr\": 0.025334667080954932\n\
|
| 93 |
-
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
|
| 94 |
-
acc\": 0.2851851851851852,\n \"acc_stderr\": 0.027528599210340496,\n \
|
| 95 |
-
\ \"acc_norm\": 0.2851851851851852,\n \"acc_norm_stderr\": 0.027528599210340496\n\
|
| 96 |
-
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
|
| 97 |
-
\ \"acc\": 0.5168067226890757,\n \"acc_stderr\": 0.03246013680375308,\n \
|
| 98 |
-
\ \"acc_norm\": 0.5168067226890757,\n \"acc_norm_stderr\": 0.03246013680375308\n\
|
| 99 |
-
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
|
| 100 |
-
: 0.2781456953642384,\n \"acc_stderr\": 0.03658603262763743,\n \"\
|
| 101 |
-
acc_norm\": 0.2781456953642384,\n \"acc_norm_stderr\": 0.03658603262763743\n\
|
| 102 |
-
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
|
| 103 |
-
: 0.6954128440366972,\n \"acc_stderr\": 0.019732299420354045,\n \"\
|
| 104 |
-
acc_norm\": 0.6954128440366972,\n \"acc_norm_stderr\": 0.019732299420354045\n\
|
| 105 |
-
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
|
| 106 |
-
: 0.3333333333333333,\n \"acc_stderr\": 0.032149521478027514,\n \"\
|
| 107 |
-
acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.032149521478027514\n\
|
| 108 |
-
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
|
| 109 |
-
: 0.7450980392156863,\n \"acc_stderr\": 0.030587591351604257,\n \"\
|
| 110 |
-
acc_norm\": 0.7450980392156863,\n \"acc_norm_stderr\": 0.030587591351604257\n\
|
| 111 |
-
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
|
| 112 |
-
acc\": 0.6877637130801688,\n \"acc_stderr\": 0.03016513786784701,\n \
|
| 113 |
-
\ \"acc_norm\": 0.6877637130801688,\n \"acc_norm_stderr\": 0.03016513786784701\n\
|
| 114 |
-
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6367713004484304,\n\
|
| 115 |
-
\ \"acc_stderr\": 0.032277904428505,\n \"acc_norm\": 0.6367713004484304,\n\
|
| 116 |
-
\ \"acc_norm_stderr\": 0.032277904428505\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
|
| 117 |
-
: {\n \"acc\": 0.648854961832061,\n \"acc_stderr\": 0.04186445163013751,\n\
|
| 118 |
-
\ \"acc_norm\": 0.648854961832061,\n \"acc_norm_stderr\": 0.04186445163013751\n\
|
| 119 |
-
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
|
| 120 |
-
\ 0.7520661157024794,\n \"acc_stderr\": 0.03941897526516303,\n \"\
|
| 121 |
-
acc_norm\": 0.7520661157024794,\n \"acc_norm_stderr\": 0.03941897526516303\n\
|
| 122 |
-
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.6851851851851852,\n\
|
| 123 |
-
\ \"acc_stderr\": 0.04489931073591312,\n \"acc_norm\": 0.6851851851851852,\n\
|
| 124 |
-
\ \"acc_norm_stderr\": 0.04489931073591312\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
|
| 125 |
-
: {\n \"acc\": 0.6380368098159509,\n \"acc_stderr\": 0.037757007291414416,\n\
|
| 126 |
-
\ \"acc_norm\": 0.6380368098159509,\n \"acc_norm_stderr\": 0.037757007291414416\n\
|
| 127 |
-
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.32142857142857145,\n\
|
| 128 |
-
\ \"acc_stderr\": 0.04432804055291519,\n \"acc_norm\": 0.32142857142857145,\n\
|
| 129 |
-
\ \"acc_norm_stderr\": 0.04432804055291519\n },\n \"harness|hendrycksTest-management|5\"\
|
| 130 |
-
: {\n \"acc\": 0.6310679611650486,\n \"acc_stderr\": 0.0477761518115674,\n\
|
| 131 |
-
\ \"acc_norm\": 0.6310679611650486,\n \"acc_norm_stderr\": 0.0477761518115674\n\
|
| 132 |
-
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7606837606837606,\n\
|
| 133 |
-
\ \"acc_stderr\": 0.027951826808924336,\n \"acc_norm\": 0.7606837606837606,\n\
|
| 134 |
-
\ \"acc_norm_stderr\": 0.027951826808924336\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
|
| 135 |
-
: {\n \"acc\": 0.55,\n \"acc_stderr\": 0.049999999999999996,\n \
|
| 136 |
-
\ \"acc_norm\": 0.55,\n \"acc_norm_stderr\": 0.049999999999999996\n \
|
| 137 |
-
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7113665389527458,\n\
|
| 138 |
-
\ \"acc_stderr\": 0.016203792703197765,\n \"acc_norm\": 0.7113665389527458,\n\
|
| 139 |
-
\ \"acc_norm_stderr\": 0.016203792703197765\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
|
| 140 |
-
: {\n \"acc\": 0.5895953757225434,\n \"acc_stderr\": 0.026483392042098174,\n\
|
| 141 |
-
\ \"acc_norm\": 0.5895953757225434,\n \"acc_norm_stderr\": 0.026483392042098174\n\
|
| 142 |
-
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2659217877094972,\n\
|
| 143 |
-
\ \"acc_stderr\": 0.014776765066438888,\n \"acc_norm\": 0.2659217877094972,\n\
|
| 144 |
-
\ \"acc_norm_stderr\": 0.014776765066438888\n },\n \"harness|hendrycksTest-nutrition|5\"\
|
| 145 |
-
: {\n \"acc\": 0.5882352941176471,\n \"acc_stderr\": 0.02818059632825928,\n\
|
| 146 |
-
\ \"acc_norm\": 0.5882352941176471,\n \"acc_norm_stderr\": 0.02818059632825928\n\
|
| 147 |
-
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6077170418006431,\n\
|
| 148 |
-
\ \"acc_stderr\": 0.027731258647011994,\n \"acc_norm\": 0.6077170418006431,\n\
|
| 149 |
-
\ \"acc_norm_stderr\": 0.027731258647011994\n },\n \"harness|hendrycksTest-prehistory|5\"\
|
| 150 |
-
: {\n \"acc\": 0.6172839506172839,\n \"acc_stderr\": 0.027044538138402605,\n\
|
| 151 |
-
\ \"acc_norm\": 0.6172839506172839,\n \"acc_norm_stderr\": 0.027044538138402605\n\
|
| 152 |
-
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
|
| 153 |
-
acc\": 0.3829787234042553,\n \"acc_stderr\": 0.028999080904806185,\n \
|
| 154 |
-
\ \"acc_norm\": 0.3829787234042553,\n \"acc_norm_stderr\": 0.028999080904806185\n\
|
| 155 |
-
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4041720990873533,\n\
|
| 156 |
-
\ \"acc_stderr\": 0.012533504046491365,\n \"acc_norm\": 0.4041720990873533,\n\
|
| 157 |
-
\ \"acc_norm_stderr\": 0.012533504046491365\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
|
| 158 |
-
: {\n \"acc\": 0.5,\n \"acc_stderr\": 0.030372836961539352,\n \
|
| 159 |
-
\ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.030372836961539352\n \
|
| 160 |
-
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"acc\"\
|
| 161 |
-
: 0.5228758169934641,\n \"acc_stderr\": 0.02020665318788479,\n \"\
|
| 162 |
-
acc_norm\": 0.5228758169934641,\n \"acc_norm_stderr\": 0.02020665318788479\n\
|
| 163 |
-
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6,\n\
|
| 164 |
-
\ \"acc_stderr\": 0.0469237132203465,\n \"acc_norm\": 0.6,\n \
|
| 165 |
-
\ \"acc_norm_stderr\": 0.0469237132203465\n },\n \"harness|hendrycksTest-security_studies|5\"\
|
| 166 |
-
: {\n \"acc\": 0.6326530612244898,\n \"acc_stderr\": 0.03086214492108756,\n\
|
| 167 |
-
\ \"acc_norm\": 0.6326530612244898,\n \"acc_norm_stderr\": 0.03086214492108756\n\
|
| 168 |
-
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7164179104477612,\n\
|
| 169 |
-
\ \"acc_stderr\": 0.03187187537919797,\n \"acc_norm\": 0.7164179104477612,\n\
|
| 170 |
-
\ \"acc_norm_stderr\": 0.03187187537919797\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
|
| 171 |
-
: {\n \"acc\": 0.81,\n \"acc_stderr\": 0.039427724440366255,\n \
|
| 172 |
-
\ \"acc_norm\": 0.81,\n \"acc_norm_stderr\": 0.039427724440366255\n \
|
| 173 |
-
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.463855421686747,\n\
|
| 174 |
-
\ \"acc_stderr\": 0.03882310850890594,\n \"acc_norm\": 0.463855421686747,\n\
|
| 175 |
-
\ \"acc_norm_stderr\": 0.03882310850890594\n },\n \"harness|hendrycksTest-world_religions|5\"\
|
| 176 |
-
: {\n \"acc\": 0.7076023391812866,\n \"acc_stderr\": 0.03488647713457922,\n\
|
| 177 |
-
\ \"acc_norm\": 0.7076023391812866,\n \"acc_norm_stderr\": 0.03488647713457922\n\
|
| 178 |
-
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.34761321909424725,\n\
|
| 179 |
-
\ \"mc1_stderr\": 0.016670769188897303,\n \"mc2\": 0.5023124365778059,\n\
|
| 180 |
-
\ \"mc2_stderr\": 0.015829473943426323\n }\n}\n```"
|
| 181 |
repo_url: https://huggingface.co/Sao10K/Stheno-1.3-L2-13B
|
| 182 |
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
| 183 |
point_of_contact: clementine@hf.co
|
|
@@ -190,6 +38,22 @@ configs:
|
|
| 190 |
- split: latest
|
| 191 |
path:
|
| 192 |
- '**/details_harness|arc:challenge|25_2023-09-12T18-38-55.194574.parquet'
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 193 |
- config_name: harness_hellaswag_10
|
| 194 |
data_files:
|
| 195 |
- split: 2023_09_12T18_38_55.194574
|
|
@@ -782,14 +646,25 @@ configs:
|
|
| 782 |
- split: latest
|
| 783 |
path:
|
| 784 |
- '**/details_harness|truthfulqa:mc|0_2023-09-12T18-38-55.194574.parquet'
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 785 |
- config_name: results
|
| 786 |
data_files:
|
| 787 |
- split: 2023_09_12T18_38_55.194574
|
| 788 |
path:
|
| 789 |
- results_2023-09-12T18-38-55.194574.parquet
|
|
|
|
|
|
|
|
|
|
| 790 |
- split: latest
|
| 791 |
path:
|
| 792 |
-
- results_2023-
|
| 793 |
---
|
| 794 |
|
| 795 |
# Dataset Card for Evaluation run of Sao10K/Stheno-1.3-L2-13B
|
|
@@ -806,9 +681,9 @@ configs:
|
|
| 806 |
|
| 807 |
Dataset automatically created during the evaluation run of model [Sao10K/Stheno-1.3-L2-13B](https://huggingface.co/Sao10K/Stheno-1.3-L2-13B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
| 808 |
|
| 809 |
-
The dataset is composed of
|
| 810 |
|
| 811 |
-
The dataset has been created from
|
| 812 |
|
| 813 |
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
|
| 814 |
|
|
@@ -816,385 +691,37 @@ To load the details from a run, you can for instance do the following:
|
|
| 816 |
```python
|
| 817 |
from datasets import load_dataset
|
| 818 |
data = load_dataset("open-llm-leaderboard/details_Sao10K__Stheno-1.3-L2-13B",
|
| 819 |
-
"
|
| 820 |
split="train")
|
| 821 |
```
|
| 822 |
|
| 823 |
## Latest results
|
| 824 |
|
| 825 |
-
These are the [latest results from run 2023-
|
| 826 |
|
| 827 |
```python
|
| 828 |
{
|
| 829 |
"all": {
|
| 830 |
-
"
|
| 831 |
-
"
|
| 832 |
-
"
|
| 833 |
-
"
|
| 834 |
-
"
|
| 835 |
-
"
|
| 836 |
-
|
| 837 |
-
|
| 838 |
-
|
| 839 |
-
|
| 840 |
-
"
|
| 841 |
-
"
|
| 842 |
-
|
| 843 |
-
|
| 844 |
-
|
| 845 |
-
|
| 846 |
-
|
| 847 |
-
|
| 848 |
-
"
|
| 849 |
-
"
|
| 850 |
-
},
|
| 851 |
-
"harness|hendrycksTest-abstract_algebra|5": {
|
| 852 |
-
"acc": 0.3,
|
| 853 |
-
"acc_stderr": 0.046056618647183814,
|
| 854 |
-
"acc_norm": 0.3,
|
| 855 |
-
"acc_norm_stderr": 0.046056618647183814
|
| 856 |
-
},
|
| 857 |
-
"harness|hendrycksTest-anatomy|5": {
|
| 858 |
-
"acc": 0.4666666666666667,
|
| 859 |
-
"acc_stderr": 0.043097329010363554,
|
| 860 |
-
"acc_norm": 0.4666666666666667,
|
| 861 |
-
"acc_norm_stderr": 0.043097329010363554
|
| 862 |
-
},
|
| 863 |
-
"harness|hendrycksTest-astronomy|5": {
|
| 864 |
-
"acc": 0.506578947368421,
|
| 865 |
-
"acc_stderr": 0.040685900502249704,
|
| 866 |
-
"acc_norm": 0.506578947368421,
|
| 867 |
-
"acc_norm_stderr": 0.040685900502249704
|
| 868 |
-
},
|
| 869 |
-
"harness|hendrycksTest-business_ethics|5": {
|
| 870 |
-
"acc": 0.53,
|
| 871 |
-
"acc_stderr": 0.050161355804659205,
|
| 872 |
-
"acc_norm": 0.53,
|
| 873 |
-
"acc_norm_stderr": 0.050161355804659205
|
| 874 |
-
},
|
| 875 |
-
"harness|hendrycksTest-clinical_knowledge|5": {
|
| 876 |
-
"acc": 0.5471698113207547,
|
| 877 |
-
"acc_stderr": 0.030635627957961816,
|
| 878 |
-
"acc_norm": 0.5471698113207547,
|
| 879 |
-
"acc_norm_stderr": 0.030635627957961816
|
| 880 |
-
},
|
| 881 |
-
"harness|hendrycksTest-college_biology|5": {
|
| 882 |
-
"acc": 0.5347222222222222,
|
| 883 |
-
"acc_stderr": 0.041711158581816184,
|
| 884 |
-
"acc_norm": 0.5347222222222222,
|
| 885 |
-
"acc_norm_stderr": 0.041711158581816184
|
| 886 |
-
},
|
| 887 |
-
"harness|hendrycksTest-college_chemistry|5": {
|
| 888 |
-
"acc": 0.34,
|
| 889 |
-
"acc_stderr": 0.04760952285695235,
|
| 890 |
-
"acc_norm": 0.34,
|
| 891 |
-
"acc_norm_stderr": 0.04760952285695235
|
| 892 |
-
},
|
| 893 |
-
"harness|hendrycksTest-college_computer_science|5": {
|
| 894 |
-
"acc": 0.44,
|
| 895 |
-
"acc_stderr": 0.04988876515698589,
|
| 896 |
-
"acc_norm": 0.44,
|
| 897 |
-
"acc_norm_stderr": 0.04988876515698589
|
| 898 |
-
},
|
| 899 |
-
"harness|hendrycksTest-college_mathematics|5": {
|
| 900 |
-
"acc": 0.3,
|
| 901 |
-
"acc_stderr": 0.046056618647183814,
|
| 902 |
-
"acc_norm": 0.3,
|
| 903 |
-
"acc_norm_stderr": 0.046056618647183814
|
| 904 |
-
},
|
| 905 |
-
"harness|hendrycksTest-college_medicine|5": {
|
| 906 |
-
"acc": 0.4913294797687861,
|
| 907 |
-
"acc_stderr": 0.03811890988940412,
|
| 908 |
-
"acc_norm": 0.4913294797687861,
|
| 909 |
-
"acc_norm_stderr": 0.03811890988940412
|
| 910 |
-
},
|
| 911 |
-
"harness|hendrycksTest-college_physics|5": {
|
| 912 |
-
"acc": 0.3333333333333333,
|
| 913 |
-
"acc_stderr": 0.04690650298201942,
|
| 914 |
-
"acc_norm": 0.3333333333333333,
|
| 915 |
-
"acc_norm_stderr": 0.04690650298201942
|
| 916 |
-
},
|
| 917 |
-
"harness|hendrycksTest-computer_security|5": {
|
| 918 |
-
"acc": 0.69,
|
| 919 |
-
"acc_stderr": 0.04648231987117316,
|
| 920 |
-
"acc_norm": 0.69,
|
| 921 |
-
"acc_norm_stderr": 0.04648231987117316
|
| 922 |
-
},
|
| 923 |
-
"harness|hendrycksTest-conceptual_physics|5": {
|
| 924 |
-
"acc": 0.39148936170212767,
|
| 925 |
-
"acc_stderr": 0.03190701242326812,
|
| 926 |
-
"acc_norm": 0.39148936170212767,
|
| 927 |
-
"acc_norm_stderr": 0.03190701242326812
|
| 928 |
-
},
|
| 929 |
-
"harness|hendrycksTest-econometrics|5": {
|
| 930 |
-
"acc": 0.2982456140350877,
|
| 931 |
-
"acc_stderr": 0.04303684033537315,
|
| 932 |
-
"acc_norm": 0.2982456140350877,
|
| 933 |
-
"acc_norm_stderr": 0.04303684033537315
|
| 934 |
-
},
|
| 935 |
-
"harness|hendrycksTest-electrical_engineering|5": {
|
| 936 |
-
"acc": 0.503448275862069,
|
| 937 |
-
"acc_stderr": 0.041665675771015785,
|
| 938 |
-
"acc_norm": 0.503448275862069,
|
| 939 |
-
"acc_norm_stderr": 0.041665675771015785
|
| 940 |
-
},
|
| 941 |
-
"harness|hendrycksTest-elementary_mathematics|5": {
|
| 942 |
-
"acc": 0.2830687830687831,
|
| 943 |
-
"acc_stderr": 0.02320139293819498,
|
| 944 |
-
"acc_norm": 0.2830687830687831,
|
| 945 |
-
"acc_norm_stderr": 0.02320139293819498
|
| 946 |
-
},
|
| 947 |
-
"harness|hendrycksTest-formal_logic|5": {
|
| 948 |
-
"acc": 0.35714285714285715,
|
| 949 |
-
"acc_stderr": 0.042857142857142816,
|
| 950 |
-
"acc_norm": 0.35714285714285715,
|
| 951 |
-
"acc_norm_stderr": 0.042857142857142816
|
| 952 |
-
},
|
| 953 |
-
"harness|hendrycksTest-global_facts|5": {
|
| 954 |
-
"acc": 0.37,
|
| 955 |
-
"acc_stderr": 0.04852365870939099,
|
| 956 |
-
"acc_norm": 0.37,
|
| 957 |
-
"acc_norm_stderr": 0.04852365870939099
|
| 958 |
-
},
|
| 959 |
-
"harness|hendrycksTest-high_school_biology|5": {
|
| 960 |
-
"acc": 0.6161290322580645,
|
| 961 |
-
"acc_stderr": 0.027666182075539645,
|
| 962 |
-
"acc_norm": 0.6161290322580645,
|
| 963 |
-
"acc_norm_stderr": 0.027666182075539645
|
| 964 |
-
},
|
| 965 |
-
"harness|hendrycksTest-high_school_chemistry|5": {
|
| 966 |
-
"acc": 0.4236453201970443,
|
| 967 |
-
"acc_stderr": 0.03476725747649038,
|
| 968 |
-
"acc_norm": 0.4236453201970443,
|
| 969 |
-
"acc_norm_stderr": 0.03476725747649038
|
| 970 |
-
},
|
| 971 |
-
"harness|hendrycksTest-high_school_computer_science|5": {
|
| 972 |
-
"acc": 0.49,
|
| 973 |
-
"acc_stderr": 0.05024183937956912,
|
| 974 |
-
"acc_norm": 0.49,
|
| 975 |
-
"acc_norm_stderr": 0.05024183937956912
|
| 976 |
-
},
|
| 977 |
-
"harness|hendrycksTest-high_school_european_history|5": {
|
| 978 |
-
"acc": 0.6424242424242425,
|
| 979 |
-
"acc_stderr": 0.03742597043806587,
|
| 980 |
-
"acc_norm": 0.6424242424242425,
|
| 981 |
-
"acc_norm_stderr": 0.03742597043806587
|
| 982 |
-
},
|
| 983 |
-
"harness|hendrycksTest-high_school_geography|5": {
|
| 984 |
-
"acc": 0.6818181818181818,
|
| 985 |
-
"acc_stderr": 0.03318477333845331,
|
| 986 |
-
"acc_norm": 0.6818181818181818,
|
| 987 |
-
"acc_norm_stderr": 0.03318477333845331
|
| 988 |
-
},
|
| 989 |
-
"harness|hendrycksTest-high_school_government_and_politics|5": {
|
| 990 |
-
"acc": 0.7823834196891192,
|
| 991 |
-
"acc_stderr": 0.029778663037752964,
|
| 992 |
-
"acc_norm": 0.7823834196891192,
|
| 993 |
-
"acc_norm_stderr": 0.029778663037752964
|
| 994 |
-
},
|
| 995 |
-
"harness|hendrycksTest-high_school_macroeconomics|5": {
|
| 996 |
-
"acc": 0.48205128205128206,
|
| 997 |
-
"acc_stderr": 0.025334667080954932,
|
| 998 |
-
"acc_norm": 0.48205128205128206,
|
| 999 |
-
"acc_norm_stderr": 0.025334667080954932
|
| 1000 |
-
},
|
| 1001 |
-
"harness|hendrycksTest-high_school_mathematics|5": {
|
| 1002 |
-
"acc": 0.2851851851851852,
|
| 1003 |
-
"acc_stderr": 0.027528599210340496,
|
| 1004 |
-
"acc_norm": 0.2851851851851852,
|
| 1005 |
-
"acc_norm_stderr": 0.027528599210340496
|
| 1006 |
-
},
|
| 1007 |
-
"harness|hendrycksTest-high_school_microeconomics|5": {
|
| 1008 |
-
"acc": 0.5168067226890757,
|
| 1009 |
-
"acc_stderr": 0.03246013680375308,
|
| 1010 |
-
"acc_norm": 0.5168067226890757,
|
| 1011 |
-
"acc_norm_stderr": 0.03246013680375308
|
| 1012 |
-
},
|
| 1013 |
-
"harness|hendrycksTest-high_school_physics|5": {
|
| 1014 |
-
"acc": 0.2781456953642384,
|
| 1015 |
-
"acc_stderr": 0.03658603262763743,
|
| 1016 |
-
"acc_norm": 0.2781456953642384,
|
| 1017 |
-
"acc_norm_stderr": 0.03658603262763743
|
| 1018 |
-
},
|
| 1019 |
-
"harness|hendrycksTest-high_school_psychology|5": {
|
| 1020 |
-
"acc": 0.6954128440366972,
|
| 1021 |
-
"acc_stderr": 0.019732299420354045,
|
| 1022 |
-
"acc_norm": 0.6954128440366972,
|
| 1023 |
-
"acc_norm_stderr": 0.019732299420354045
|
| 1024 |
-
},
|
| 1025 |
-
"harness|hendrycksTest-high_school_statistics|5": {
|
| 1026 |
-
"acc": 0.3333333333333333,
|
| 1027 |
-
"acc_stderr": 0.032149521478027514,
|
| 1028 |
-
"acc_norm": 0.3333333333333333,
|
| 1029 |
-
"acc_norm_stderr": 0.032149521478027514
|
| 1030 |
-
},
|
| 1031 |
-
"harness|hendrycksTest-high_school_us_history|5": {
|
| 1032 |
-
"acc": 0.7450980392156863,
|
| 1033 |
-
"acc_stderr": 0.030587591351604257,
|
| 1034 |
-
"acc_norm": 0.7450980392156863,
|
| 1035 |
-
"acc_norm_stderr": 0.030587591351604257
|
| 1036 |
-
},
|
| 1037 |
-
"harness|hendrycksTest-high_school_world_history|5": {
|
| 1038 |
-
"acc": 0.6877637130801688,
|
| 1039 |
-
"acc_stderr": 0.03016513786784701,
|
| 1040 |
-
"acc_norm": 0.6877637130801688,
|
| 1041 |
-
"acc_norm_stderr": 0.03016513786784701
|
| 1042 |
-
},
|
| 1043 |
-
"harness|hendrycksTest-human_aging|5": {
|
| 1044 |
-
"acc": 0.6367713004484304,
|
| 1045 |
-
"acc_stderr": 0.032277904428505,
|
| 1046 |
-
"acc_norm": 0.6367713004484304,
|
| 1047 |
-
"acc_norm_stderr": 0.032277904428505
|
| 1048 |
-
},
|
| 1049 |
-
"harness|hendrycksTest-human_sexuality|5": {
|
| 1050 |
-
"acc": 0.648854961832061,
|
| 1051 |
-
"acc_stderr": 0.04186445163013751,
|
| 1052 |
-
"acc_norm": 0.648854961832061,
|
| 1053 |
-
"acc_norm_stderr": 0.04186445163013751
|
| 1054 |
-
},
|
| 1055 |
-
"harness|hendrycksTest-international_law|5": {
|
| 1056 |
-
"acc": 0.7520661157024794,
|
| 1057 |
-
"acc_stderr": 0.03941897526516303,
|
| 1058 |
-
"acc_norm": 0.7520661157024794,
|
| 1059 |
-
"acc_norm_stderr": 0.03941897526516303
|
| 1060 |
-
},
|
| 1061 |
-
"harness|hendrycksTest-jurisprudence|5": {
|
| 1062 |
-
"acc": 0.6851851851851852,
|
| 1063 |
-
"acc_stderr": 0.04489931073591312,
|
| 1064 |
-
"acc_norm": 0.6851851851851852,
|
| 1065 |
-
"acc_norm_stderr": 0.04489931073591312
|
| 1066 |
-
},
|
| 1067 |
-
"harness|hendrycksTest-logical_fallacies|5": {
|
| 1068 |
-
"acc": 0.6380368098159509,
|
| 1069 |
-
"acc_stderr": 0.037757007291414416,
|
| 1070 |
-
"acc_norm": 0.6380368098159509,
|
| 1071 |
-
"acc_norm_stderr": 0.037757007291414416
|
| 1072 |
-
},
|
| 1073 |
-
"harness|hendrycksTest-machine_learning|5": {
|
| 1074 |
-
"acc": 0.32142857142857145,
|
| 1075 |
-
"acc_stderr": 0.04432804055291519,
|
| 1076 |
-
"acc_norm": 0.32142857142857145,
|
| 1077 |
-
"acc_norm_stderr": 0.04432804055291519
|
| 1078 |
-
},
|
| 1079 |
-
"harness|hendrycksTest-management|5": {
|
| 1080 |
-
"acc": 0.6310679611650486,
|
| 1081 |
-
"acc_stderr": 0.0477761518115674,
|
| 1082 |
-
"acc_norm": 0.6310679611650486,
|
| 1083 |
-
"acc_norm_stderr": 0.0477761518115674
|
| 1084 |
-
},
|
| 1085 |
-
"harness|hendrycksTest-marketing|5": {
|
| 1086 |
-
"acc": 0.7606837606837606,
|
| 1087 |
-
"acc_stderr": 0.027951826808924336,
|
| 1088 |
-
"acc_norm": 0.7606837606837606,
|
| 1089 |
-
"acc_norm_stderr": 0.027951826808924336
|
| 1090 |
-
},
|
| 1091 |
-
"harness|hendrycksTest-medical_genetics|5": {
|
| 1092 |
-
"acc": 0.55,
|
| 1093 |
-
"acc_stderr": 0.049999999999999996,
|
| 1094 |
-
"acc_norm": 0.55,
|
| 1095 |
-
"acc_norm_stderr": 0.049999999999999996
|
| 1096 |
-
},
|
| 1097 |
-
"harness|hendrycksTest-miscellaneous|5": {
|
| 1098 |
-
"acc": 0.7113665389527458,
|
| 1099 |
-
"acc_stderr": 0.016203792703197765,
|
| 1100 |
-
"acc_norm": 0.7113665389527458,
|
| 1101 |
-
"acc_norm_stderr": 0.016203792703197765
|
| 1102 |
-
},
|
| 1103 |
-
"harness|hendrycksTest-moral_disputes|5": {
|
| 1104 |
-
"acc": 0.5895953757225434,
|
| 1105 |
-
"acc_stderr": 0.026483392042098174,
|
| 1106 |
-
"acc_norm": 0.5895953757225434,
|
| 1107 |
-
"acc_norm_stderr": 0.026483392042098174
|
| 1108 |
-
},
|
| 1109 |
-
"harness|hendrycksTest-moral_scenarios|5": {
|
| 1110 |
-
"acc": 0.2659217877094972,
|
| 1111 |
-
"acc_stderr": 0.014776765066438888,
|
| 1112 |
-
"acc_norm": 0.2659217877094972,
|
| 1113 |
-
"acc_norm_stderr": 0.014776765066438888
|
| 1114 |
-
},
|
| 1115 |
-
"harness|hendrycksTest-nutrition|5": {
|
| 1116 |
-
"acc": 0.5882352941176471,
|
| 1117 |
-
"acc_stderr": 0.02818059632825928,
|
| 1118 |
-
"acc_norm": 0.5882352941176471,
|
| 1119 |
-
"acc_norm_stderr": 0.02818059632825928
|
| 1120 |
-
},
|
| 1121 |
-
"harness|hendrycksTest-philosophy|5": {
|
| 1122 |
-
"acc": 0.6077170418006431,
|
| 1123 |
-
"acc_stderr": 0.027731258647011994,
|
| 1124 |
-
"acc_norm": 0.6077170418006431,
|
| 1125 |
-
"acc_norm_stderr": 0.027731258647011994
|
| 1126 |
-
},
|
| 1127 |
-
"harness|hendrycksTest-prehistory|5": {
|
| 1128 |
-
"acc": 0.6172839506172839,
|
| 1129 |
-
"acc_stderr": 0.027044538138402605,
|
| 1130 |
-
"acc_norm": 0.6172839506172839,
|
| 1131 |
-
"acc_norm_stderr": 0.027044538138402605
|
| 1132 |
-
},
|
| 1133 |
-
"harness|hendrycksTest-professional_accounting|5": {
|
| 1134 |
-
"acc": 0.3829787234042553,
|
| 1135 |
-
"acc_stderr": 0.028999080904806185,
|
| 1136 |
-
"acc_norm": 0.3829787234042553,
|
| 1137 |
-
"acc_norm_stderr": 0.028999080904806185
|
| 1138 |
-
},
|
| 1139 |
-
"harness|hendrycksTest-professional_law|5": {
|
| 1140 |
-
"acc": 0.4041720990873533,
|
| 1141 |
-
"acc_stderr": 0.012533504046491365,
|
| 1142 |
-
"acc_norm": 0.4041720990873533,
|
| 1143 |
-
"acc_norm_stderr": 0.012533504046491365
|
| 1144 |
-
},
|
| 1145 |
-
"harness|hendrycksTest-professional_medicine|5": {
|
| 1146 |
-
"acc": 0.5,
|
| 1147 |
-
"acc_stderr": 0.030372836961539352,
|
| 1148 |
-
"acc_norm": 0.5,
|
| 1149 |
-
"acc_norm_stderr": 0.030372836961539352
|
| 1150 |
-
},
|
| 1151 |
-
"harness|hendrycksTest-professional_psychology|5": {
|
| 1152 |
-
"acc": 0.5228758169934641,
|
| 1153 |
-
"acc_stderr": 0.02020665318788479,
|
| 1154 |
-
"acc_norm": 0.5228758169934641,
|
| 1155 |
-
"acc_norm_stderr": 0.02020665318788479
|
| 1156 |
-
},
|
| 1157 |
-
"harness|hendrycksTest-public_relations|5": {
|
| 1158 |
-
"acc": 0.6,
|
| 1159 |
-
"acc_stderr": 0.0469237132203465,
|
| 1160 |
-
"acc_norm": 0.6,
|
| 1161 |
-
"acc_norm_stderr": 0.0469237132203465
|
| 1162 |
-
},
|
| 1163 |
-
"harness|hendrycksTest-security_studies|5": {
|
| 1164 |
-
"acc": 0.6326530612244898,
|
| 1165 |
-
"acc_stderr": 0.03086214492108756,
|
| 1166 |
-
"acc_norm": 0.6326530612244898,
|
| 1167 |
-
"acc_norm_stderr": 0.03086214492108756
|
| 1168 |
-
},
|
| 1169 |
-
"harness|hendrycksTest-sociology|5": {
|
| 1170 |
-
"acc": 0.7164179104477612,
|
| 1171 |
-
"acc_stderr": 0.03187187537919797,
|
| 1172 |
-
"acc_norm": 0.7164179104477612,
|
| 1173 |
-
"acc_norm_stderr": 0.03187187537919797
|
| 1174 |
-
},
|
| 1175 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 1176 |
-
"acc": 0.81,
|
| 1177 |
-
"acc_stderr": 0.039427724440366255,
|
| 1178 |
-
"acc_norm": 0.81,
|
| 1179 |
-
"acc_norm_stderr": 0.039427724440366255
|
| 1180 |
-
},
|
| 1181 |
-
"harness|hendrycksTest-virology|5": {
|
| 1182 |
-
"acc": 0.463855421686747,
|
| 1183 |
-
"acc_stderr": 0.03882310850890594,
|
| 1184 |
-
"acc_norm": 0.463855421686747,
|
| 1185 |
-
"acc_norm_stderr": 0.03882310850890594
|
| 1186 |
-
},
|
| 1187 |
-
"harness|hendrycksTest-world_religions|5": {
|
| 1188 |
-
"acc": 0.7076023391812866,
|
| 1189 |
-
"acc_stderr": 0.03488647713457922,
|
| 1190 |
-
"acc_norm": 0.7076023391812866,
|
| 1191 |
-
"acc_norm_stderr": 0.03488647713457922
|
| 1192 |
-
},
|
| 1193 |
-
"harness|truthfulqa:mc|0": {
|
| 1194 |
-
"mc1": 0.34761321909424725,
|
| 1195 |
-
"mc1_stderr": 0.016670769188897303,
|
| 1196 |
-
"mc2": 0.5023124365778059,
|
| 1197 |
-
"mc2_stderr": 0.015829473943426323
|
| 1198 |
}
|
| 1199 |
}
|
| 1200 |
```
|
|
|
|
| 3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
\ [Sao10K/Stheno-1.3-L2-13B](https://huggingface.co/Sao10K/Stheno-1.3-L2-13B) on\
|
| 5 |
\ the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
|
| 6 |
+
\nThe dataset is composed of 64 configuration, each one coresponding to one of the\
|
| 7 |
+
\ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\
|
| 8 |
\ found as a specific split in each configuration, the split being named using the\
|
| 9 |
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
|
| 10 |
\nAn additional configuration \"results\" store all the aggregated results of the\
|
|
|
|
| 12 |
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
|
| 13 |
\nTo load the details from a run, you can for instance do the following:\n```python\n\
|
| 14 |
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Sao10K__Stheno-1.3-L2-13B\"\
|
| 15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
| 16 |
+
These are the [latest results from run 2023-10-23T21:32:22.649999](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__Stheno-1.3-L2-13B/blob/main/results_2023-10-23T21-32-22.649999.json)(note\
|
| 17 |
\ that their might be results for other tasks in the repos if successive evals didn't\
|
| 18 |
\ cover the same tasks. You find each in the results and the \"latest\" split for\
|
| 19 |
+
\ each eval):\n\n```python\n{\n \"all\": {\n \"em\": 0.2075293624161074,\n\
|
| 20 |
+
\ \"em_stderr\": 0.0041530868871623655,\n \"f1\": 0.3234186241610759,\n\
|
| 21 |
+
\ \"f1_stderr\": 0.004163889670714078,\n \"acc\": 0.35670155034816864,\n\
|
| 22 |
+
\ \"acc_stderr\": 0.00702519954294294\n },\n \"harness|drop|3\": {\n\
|
| 23 |
+
\ \"em\": 0.2075293624161074,\n \"em_stderr\": 0.0041530868871623655,\n\
|
| 24 |
+
\ \"f1\": 0.3234186241610759,\n \"f1_stderr\": 0.004163889670714078\n\
|
| 25 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.002274450341167551,\n \
|
| 26 |
+
\ \"acc_stderr\": 0.0013121578148674326\n },\n \"harness|winogrande|5\"\
|
| 27 |
+
: {\n \"acc\": 0.7111286503551697,\n \"acc_stderr\": 0.012738241271018446\n\
|
| 28 |
+
\ }\n}\n```"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 29 |
repo_url: https://huggingface.co/Sao10K/Stheno-1.3-L2-13B
|
| 30 |
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
| 31 |
point_of_contact: clementine@hf.co
|
|
|
|
| 38 |
- split: latest
|
| 39 |
path:
|
| 40 |
- '**/details_harness|arc:challenge|25_2023-09-12T18-38-55.194574.parquet'
|
| 41 |
+
- config_name: harness_drop_3
|
| 42 |
+
data_files:
|
| 43 |
+
- split: 2023_10_23T21_32_22.649999
|
| 44 |
+
path:
|
| 45 |
+
- '**/details_harness|drop|3_2023-10-23T21-32-22.649999.parquet'
|
| 46 |
+
- split: latest
|
| 47 |
+
path:
|
| 48 |
+
- '**/details_harness|drop|3_2023-10-23T21-32-22.649999.parquet'
|
| 49 |
+
- config_name: harness_gsm8k_5
|
| 50 |
+
data_files:
|
| 51 |
+
- split: 2023_10_23T21_32_22.649999
|
| 52 |
+
path:
|
| 53 |
+
- '**/details_harness|gsm8k|5_2023-10-23T21-32-22.649999.parquet'
|
| 54 |
+
- split: latest
|
| 55 |
+
path:
|
| 56 |
+
- '**/details_harness|gsm8k|5_2023-10-23T21-32-22.649999.parquet'
|
| 57 |
- config_name: harness_hellaswag_10
|
| 58 |
data_files:
|
| 59 |
- split: 2023_09_12T18_38_55.194574
|
|
|
|
| 646 |
- split: latest
|
| 647 |
path:
|
| 648 |
- '**/details_harness|truthfulqa:mc|0_2023-09-12T18-38-55.194574.parquet'
|
| 649 |
+
- config_name: harness_winogrande_5
|
| 650 |
+
data_files:
|
| 651 |
+
- split: 2023_10_23T21_32_22.649999
|
| 652 |
+
path:
|
| 653 |
+
- '**/details_harness|winogrande|5_2023-10-23T21-32-22.649999.parquet'
|
| 654 |
+
- split: latest
|
| 655 |
+
path:
|
| 656 |
+
- '**/details_harness|winogrande|5_2023-10-23T21-32-22.649999.parquet'
|
| 657 |
- config_name: results
|
| 658 |
data_files:
|
| 659 |
- split: 2023_09_12T18_38_55.194574
|
| 660 |
path:
|
| 661 |
- results_2023-09-12T18-38-55.194574.parquet
|
| 662 |
+
- split: 2023_10_23T21_32_22.649999
|
| 663 |
+
path:
|
| 664 |
+
- results_2023-10-23T21-32-22.649999.parquet
|
| 665 |
- split: latest
|
| 666 |
path:
|
| 667 |
+
- results_2023-10-23T21-32-22.649999.parquet
|
| 668 |
---
|
| 669 |
|
| 670 |
# Dataset Card for Evaluation run of Sao10K/Stheno-1.3-L2-13B
|
|
|
|
| 681 |
|
| 682 |
Dataset automatically created during the evaluation run of model [Sao10K/Stheno-1.3-L2-13B](https://huggingface.co/Sao10K/Stheno-1.3-L2-13B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
| 683 |
|
| 684 |
+
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
|
| 685 |
|
| 686 |
+
The dataset has been created from 2 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.
|
| 687 |
|
| 688 |
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
|
| 689 |
|
|
|
|
| 691 |
```python
|
| 692 |
from datasets import load_dataset
|
| 693 |
data = load_dataset("open-llm-leaderboard/details_Sao10K__Stheno-1.3-L2-13B",
|
| 694 |
+
"harness_winogrande_5",
|
| 695 |
split="train")
|
| 696 |
```
|
| 697 |
|
| 698 |
## Latest results
|
| 699 |
|
| 700 |
+
These are the [latest results from run 2023-10-23T21:32:22.649999](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__Stheno-1.3-L2-13B/blob/main/results_2023-10-23T21-32-22.649999.json)(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):
|
| 701 |
|
| 702 |
```python
|
| 703 |
{
|
| 704 |
"all": {
|
| 705 |
+
"em": 0.2075293624161074,
|
| 706 |
+
"em_stderr": 0.0041530868871623655,
|
| 707 |
+
"f1": 0.3234186241610759,
|
| 708 |
+
"f1_stderr": 0.004163889670714078,
|
| 709 |
+
"acc": 0.35670155034816864,
|
| 710 |
+
"acc_stderr": 0.00702519954294294
|
| 711 |
+
},
|
| 712 |
+
"harness|drop|3": {
|
| 713 |
+
"em": 0.2075293624161074,
|
| 714 |
+
"em_stderr": 0.0041530868871623655,
|
| 715 |
+
"f1": 0.3234186241610759,
|
| 716 |
+
"f1_stderr": 0.004163889670714078
|
| 717 |
+
},
|
| 718 |
+
"harness|gsm8k|5": {
|
| 719 |
+
"acc": 0.002274450341167551,
|
| 720 |
+
"acc_stderr": 0.0013121578148674326
|
| 721 |
+
},
|
| 722 |
+
"harness|winogrande|5": {
|
| 723 |
+
"acc": 0.7111286503551697,
|
| 724 |
+
"acc_stderr": 0.012738241271018446
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 725 |
}
|
| 726 |
}
|
| 727 |
```
|