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details_TheBloke__wizard-vicuna-13B-HF

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1
+ ---
2
+ pretty_name: Evaluation run of TheBloke/wizard-vicuna-13B-HF
3
+ dataset_summary: "Dataset automatically created during the evaluation run of model\
4
+ \ [TheBloke/wizard-vicuna-13B-HF](https://huggingface.co/TheBloke/wizard-vicuna-13B-HF)\
5
+ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
6
+ \nThe dataset is composed of 60 configuration, each one coresponding to one of the\
7
+ \ evaluated task.\n\nThe dataset has been created from 1 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\
11
+ \ run (and is used to compute and display the agregated metrics on the [Open LLM\
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_TheBloke__wizard-vicuna-13B-HF\"\
15
+ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\
16
+ \nThese are the latest results from run 2023-07-18T15:41:31.806863\n\n```python\n\
17
+ {\n \"all\": {\n \"acc\": 0.49093552913894745,\n \"acc_stderr\"\
18
+ : 0.034974545085472035,\n \"acc_norm\": 0.4948812495871784,\n \"acc_norm_stderr\"\
19
+ : 0.03495902752470686,\n \"mc1\": 0.35006119951040393,\n \"mc1_stderr\"\
20
+ : 0.01669794942015103,\n \"mc2\": 0.49619544657387094,\n \"mc2_stderr\"\
21
+ : 0.01573558851923109\n },\n \"harness|arc:challenge|25\": {\n \"acc\"\
22
+ : 0.5187713310580204,\n \"acc_stderr\": 0.014601090150633964,\n \"\
23
+ acc_norm\": 0.5469283276450512,\n \"acc_norm_stderr\": 0.01454689205200563\n\
24
+ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5871340370444135,\n\
25
+ \ \"acc_stderr\": 0.0049134290105590705,\n \"acc_norm\": 0.7917745469030074,\n\
26
+ \ \"acc_norm_stderr\": 0.0040520910240415785\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
27
+ : {\n \"acc\": 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \
28
+ \ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.046882617226215034\n \
29
+ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4074074074074074,\n\
30
+ \ \"acc_stderr\": 0.04244633238353229,\n \"acc_norm\": 0.4074074074074074,\n\
31
+ \ \"acc_norm_stderr\": 0.04244633238353229\n },\n \"harness|hendrycksTest-astronomy|5\"\
32
+ : {\n \"acc\": 0.47368421052631576,\n \"acc_stderr\": 0.04063302731486671,\n\
33
+ \ \"acc_norm\": 0.47368421052631576,\n \"acc_norm_stderr\": 0.04063302731486671\n\
34
+ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.5,\n\
35
+ \ \"acc_stderr\": 0.050251890762960605,\n \"acc_norm\": 0.5,\n \
36
+ \ \"acc_norm_stderr\": 0.050251890762960605\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
37
+ : {\n \"acc\": 0.4716981132075472,\n \"acc_stderr\": 0.0307235352490061,\n\
38
+ \ \"acc_norm\": 0.4716981132075472,\n \"acc_norm_stderr\": 0.0307235352490061\n\
39
+ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.4861111111111111,\n\
40
+ \ \"acc_stderr\": 0.041795966175810016,\n \"acc_norm\": 0.4861111111111111,\n\
41
+ \ \"acc_norm_stderr\": 0.041795966175810016\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
42
+ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252604,\n \
43
+ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252604\n \
44
+ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
45
+ : 0.46,\n \"acc_stderr\": 0.05009082659620332,\n \"acc_norm\": 0.46,\n\
46
+ \ \"acc_norm_stderr\": 0.05009082659620332\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
47
+ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \
48
+ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \
49
+ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.3583815028901734,\n\
50
+ \ \"acc_stderr\": 0.036563436533531585,\n \"acc_norm\": 0.3583815028901734,\n\
51
+ \ \"acc_norm_stderr\": 0.036563436533531585\n },\n \"harness|hendrycksTest-college_physics|5\"\
52
+ : {\n \"acc\": 0.17647058823529413,\n \"acc_stderr\": 0.0379328118530781,\n\
53
+ \ \"acc_norm\": 0.17647058823529413,\n \"acc_norm_stderr\": 0.0379328118530781\n\
54
+ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
55
+ \ 0.61,\n \"acc_stderr\": 0.04902071300001975,\n \"acc_norm\": 0.61,\n\
56
+ \ \"acc_norm_stderr\": 0.04902071300001975\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
57
+ : {\n \"acc\": 0.3829787234042553,\n \"acc_stderr\": 0.03177821250236922,\n\
58
+ \ \"acc_norm\": 0.3829787234042553,\n \"acc_norm_stderr\": 0.03177821250236922\n\
59
+ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2807017543859649,\n\
60
+ \ \"acc_stderr\": 0.04227054451232199,\n \"acc_norm\": 0.2807017543859649,\n\
61
+ \ \"acc_norm_stderr\": 0.04227054451232199\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
62
+ : {\n \"acc\": 0.4068965517241379,\n \"acc_stderr\": 0.04093793981266237,\n\
63
+ \ \"acc_norm\": 0.4068965517241379,\n \"acc_norm_stderr\": 0.04093793981266237\n\
64
+ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
65
+ : 0.2751322751322751,\n \"acc_stderr\": 0.023000086859068642,\n \"\
66
+ acc_norm\": 0.2751322751322751,\n \"acc_norm_stderr\": 0.023000086859068642\n\
67
+ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.38095238095238093,\n\
68
+ \ \"acc_stderr\": 0.04343525428949098,\n \"acc_norm\": 0.38095238095238093,\n\
69
+ \ \"acc_norm_stderr\": 0.04343525428949098\n },\n \"harness|hendrycksTest-global_facts|5\"\
70
+ : {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \
71
+ \ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \
72
+ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.5225806451612903,\n\
73
+ \ \"acc_stderr\": 0.02841498501970786,\n \"acc_norm\": 0.5225806451612903,\n\
74
+ \ \"acc_norm_stderr\": 0.02841498501970786\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
75
+ : {\n \"acc\": 0.35960591133004927,\n \"acc_stderr\": 0.03376458246509568,\n\
76
+ \ \"acc_norm\": 0.35960591133004927,\n \"acc_norm_stderr\": 0.03376458246509568\n\
77
+ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
78
+ \ \"acc\": 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\"\
79
+ : 0.52,\n \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
80
+ : {\n \"acc\": 0.6545454545454545,\n \"acc_stderr\": 0.037131580674819135,\n\
81
+ \ \"acc_norm\": 0.6545454545454545,\n \"acc_norm_stderr\": 0.037131580674819135\n\
82
+ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
83
+ : 0.6161616161616161,\n \"acc_stderr\": 0.03464881675016339,\n \"\
84
+ acc_norm\": 0.6161616161616161,\n \"acc_norm_stderr\": 0.03464881675016339\n\
85
+ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
86
+ \ \"acc\": 0.6839378238341969,\n \"acc_stderr\": 0.03355397369686173,\n\
87
+ \ \"acc_norm\": 0.6839378238341969,\n \"acc_norm_stderr\": 0.03355397369686173\n\
88
+ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
89
+ \ \"acc\": 0.4153846153846154,\n \"acc_stderr\": 0.024985354923102332,\n\
90
+ \ \"acc_norm\": 0.4153846153846154,\n \"acc_norm_stderr\": 0.024985354923102332\n\
91
+ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
92
+ acc\": 0.23703703703703705,\n \"acc_stderr\": 0.025928876132766114,\n \
93
+ \ \"acc_norm\": 0.23703703703703705,\n \"acc_norm_stderr\": 0.025928876132766114\n\
94
+ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
95
+ \ \"acc\": 0.4327731092436975,\n \"acc_stderr\": 0.03218358107742613,\n \
96
+ \ \"acc_norm\": 0.4327731092436975,\n \"acc_norm_stderr\": 0.03218358107742613\n\
97
+ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
98
+ : 0.304635761589404,\n \"acc_stderr\": 0.03757949922943342,\n \"acc_norm\"\
99
+ : 0.304635761589404,\n \"acc_norm_stderr\": 0.03757949922943342\n },\n\
100
+ \ \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\": 0.6495412844036698,\n\
101
+ \ \"acc_stderr\": 0.020456077599824464,\n \"acc_norm\": 0.6495412844036698,\n\
102
+ \ \"acc_norm_stderr\": 0.020456077599824464\n },\n \"harness|hendrycksTest-high_school_statistics|5\"\
103
+ : {\n \"acc\": 0.3101851851851852,\n \"acc_stderr\": 0.031546962856566295,\n\
104
+ \ \"acc_norm\": 0.3101851851851852,\n \"acc_norm_stderr\": 0.031546962856566295\n\
105
+ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
106
+ : 0.6764705882352942,\n \"acc_stderr\": 0.0328347205610856,\n \"acc_norm\"\
107
+ : 0.6764705882352942,\n \"acc_norm_stderr\": 0.0328347205610856\n },\n\
108
+ \ \"harness|hendrycksTest-high_school_world_history|5\": {\n \"acc\":\
109
+ \ 0.6708860759493671,\n \"acc_stderr\": 0.030587326294702365,\n \"\
110
+ acc_norm\": 0.6708860759493671,\n \"acc_norm_stderr\": 0.030587326294702365\n\
111
+ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5964125560538116,\n\
112
+ \ \"acc_stderr\": 0.032928028193303135,\n \"acc_norm\": 0.5964125560538116,\n\
113
+ \ \"acc_norm_stderr\": 0.032928028193303135\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
114
+ : {\n \"acc\": 0.6259541984732825,\n \"acc_stderr\": 0.04243869242230524,\n\
115
+ \ \"acc_norm\": 0.6259541984732825,\n \"acc_norm_stderr\": 0.04243869242230524\n\
116
+ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
117
+ \ 0.6363636363636364,\n \"acc_stderr\": 0.043913262867240704,\n \"\
118
+ acc_norm\": 0.6363636363636364,\n \"acc_norm_stderr\": 0.043913262867240704\n\
119
+ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.5925925925925926,\n\
120
+ \ \"acc_stderr\": 0.04750077341199985,\n \"acc_norm\": 0.5925925925925926,\n\
121
+ \ \"acc_norm_stderr\": 0.04750077341199985\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
122
+ : {\n \"acc\": 0.6012269938650306,\n \"acc_stderr\": 0.03847021420456023,\n\
123
+ \ \"acc_norm\": 0.6012269938650306,\n \"acc_norm_stderr\": 0.03847021420456023\n\
124
+ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.36607142857142855,\n\
125
+ \ \"acc_stderr\": 0.045723723587374296,\n \"acc_norm\": 0.36607142857142855,\n\
126
+ \ \"acc_norm_stderr\": 0.045723723587374296\n },\n \"harness|hendrycksTest-management|5\"\
127
+ : {\n \"acc\": 0.6601941747572816,\n \"acc_stderr\": 0.04689765937278134,\n\
128
+ \ \"acc_norm\": 0.6601941747572816,\n \"acc_norm_stderr\": 0.04689765937278134\n\
129
+ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.717948717948718,\n\
130
+ \ \"acc_stderr\": 0.029480360549541194,\n \"acc_norm\": 0.717948717948718,\n\
131
+ \ \"acc_norm_stderr\": 0.029480360549541194\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
132
+ : {\n \"acc\": 0.59,\n \"acc_stderr\": 0.049431107042371025,\n \
133
+ \ \"acc_norm\": 0.59,\n \"acc_norm_stderr\": 0.049431107042371025\n \
134
+ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.6756066411238825,\n\
135
+ \ \"acc_stderr\": 0.016740929047162696,\n \"acc_norm\": 0.6756066411238825,\n\
136
+ \ \"acc_norm_stderr\": 0.016740929047162696\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
137
+ : {\n \"acc\": 0.5317919075144508,\n \"acc_stderr\": 0.02686462436675665,\n\
138
+ \ \"acc_norm\": 0.5317919075144508,\n \"acc_norm_stderr\": 0.02686462436675665\n\
139
+ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3452513966480447,\n\
140
+ \ \"acc_stderr\": 0.015901432608930354,\n \"acc_norm\": 0.3452513966480447,\n\
141
+ \ \"acc_norm_stderr\": 0.015901432608930354\n },\n \"harness|hendrycksTest-nutrition|5\"\
142
+ : {\n \"acc\": 0.5555555555555556,\n \"acc_stderr\": 0.02845263998508801,\n\
143
+ \ \"acc_norm\": 0.5555555555555556,\n \"acc_norm_stderr\": 0.02845263998508801\n\
144
+ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.49517684887459806,\n\
145
+ \ \"acc_stderr\": 0.02839677044411129,\n \"acc_norm\": 0.49517684887459806,\n\
146
+ \ \"acc_norm_stderr\": 0.02839677044411129\n },\n \"harness|hendrycksTest-prehistory|5\"\
147
+ : {\n \"acc\": 0.5246913580246914,\n \"acc_stderr\": 0.02778680093142745,\n\
148
+ \ \"acc_norm\": 0.5246913580246914,\n \"acc_norm_stderr\": 0.02778680093142745\n\
149
+ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
150
+ acc\": 0.34397163120567376,\n \"acc_stderr\": 0.028338017428611317,\n \
151
+ \ \"acc_norm\": 0.34397163120567376,\n \"acc_norm_stderr\": 0.028338017428611317\n\
152
+ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.408735332464146,\n\
153
+ \ \"acc_stderr\": 0.012555701346703373,\n \"acc_norm\": 0.408735332464146,\n\
154
+ \ \"acc_norm_stderr\": 0.012555701346703373\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
155
+ : {\n \"acc\": 0.4338235294117647,\n \"acc_stderr\": 0.030105636570016626,\n\
156
+ \ \"acc_norm\": 0.4338235294117647,\n \"acc_norm_stderr\": 0.030105636570016626\n\
157
+ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
158
+ acc\": 0.5,\n \"acc_stderr\": 0.020227834851568375,\n \"acc_norm\"\
159
+ : 0.5,\n \"acc_norm_stderr\": 0.020227834851568375\n },\n \"harness|hendrycksTest-public_relations|5\"\
160
+ : {\n \"acc\": 0.5181818181818182,\n \"acc_stderr\": 0.04785964010794915,\n\
161
+ \ \"acc_norm\": 0.5181818181818182,\n \"acc_norm_stderr\": 0.04785964010794915\n\
162
+ \ },\n \"harness|hendrycksTest-security_studies|5\": {\n \"acc\": 0.5673469387755102,\n\
163
+ \ \"acc_stderr\": 0.031717528240626645,\n \"acc_norm\": 0.5673469387755102,\n\
164
+ \ \"acc_norm_stderr\": 0.031717528240626645\n },\n \"harness|hendrycksTest-sociology|5\"\
165
+ : {\n \"acc\": 0.7263681592039801,\n \"acc_stderr\": 0.03152439186555402,\n\
166
+ \ \"acc_norm\": 0.7263681592039801,\n \"acc_norm_stderr\": 0.03152439186555402\n\
167
+ \ },\n \"harness|hendrycksTest-us_foreign_policy|5\": {\n \"acc\":\
168
+ \ 0.72,\n \"acc_stderr\": 0.04512608598542128,\n \"acc_norm\": 0.72,\n\
169
+ \ \"acc_norm_stderr\": 0.04512608598542128\n },\n \"harness|hendrycksTest-virology|5\"\
170
+ : {\n \"acc\": 0.45180722891566266,\n \"acc_stderr\": 0.03874371556587953,\n\
171
+ \ \"acc_norm\": 0.45180722891566266,\n \"acc_norm_stderr\": 0.03874371556587953\n\
172
+ \ },\n \"harness|hendrycksTest-world_religions|5\": {\n \"acc\": 0.6900584795321637,\n\
173
+ \ \"acc_stderr\": 0.035469769593931624,\n \"acc_norm\": 0.6900584795321637,\n\
174
+ \ \"acc_norm_stderr\": 0.035469769593931624\n },\n \"harness|truthfulqa:mc|0\"\
175
+ : {\n \"mc1\": 0.35006119951040393,\n \"mc1_stderr\": 0.01669794942015103,\n\
176
+ \ \"mc2\": 0.49619544657387094,\n \"mc2_stderr\": 0.01573558851923109\n\
177
+ \ }\n}\n```"
178
+ repo_url: https://huggingface.co/TheBloke/wizard-vicuna-13B-HF
179
+ leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
180
+ point_of_contact: clementine@hf.co
181
+ configs:
182
+ - config_name: harness_arc_challenge_25
183
+ data_files: '**/details_harness|arc:challenge|25_2023-07-18T15:41:31.806863.parquet'
184
+ - config_name: harness_hellaswag_10
185
+ data_files: '**/details_harness|hellaswag|10_2023-07-18T15:41:31.806863.parquet'
186
+ - config_name: harness_hendrycksTest_abstract_algebra_5
187
+ data_files: '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-18T15:41:31.806863.parquet'
188
+ - config_name: harness_hendrycksTest_anatomy_5
189
+ data_files: '**/details_harness|hendrycksTest-anatomy|5_2023-07-18T15:41:31.806863.parquet'
190
+ - config_name: harness_hendrycksTest_astronomy_5
191
+ data_files: '**/details_harness|hendrycksTest-astronomy|5_2023-07-18T15:41:31.806863.parquet'
192
+ - config_name: harness_hendrycksTest_business_ethics_5
193
+ data_files: '**/details_harness|hendrycksTest-business_ethics|5_2023-07-18T15:41:31.806863.parquet'
194
+ - config_name: harness_hendrycksTest_clinical_knowledge_5
195
+ data_files: '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-18T15:41:31.806863.parquet'
196
+ - config_name: harness_hendrycksTest_college_biology_5
197
+ data_files: '**/details_harness|hendrycksTest-college_biology|5_2023-07-18T15:41:31.806863.parquet'
198
+ - config_name: harness_hendrycksTest_college_chemistry_5
199
+ data_files: '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-18T15:41:31.806863.parquet'
200
+ - config_name: harness_hendrycksTest_college_computer_science_5
201
+ data_files: '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-18T15:41:31.806863.parquet'
202
+ - config_name: harness_hendrycksTest_college_mathematics_5
203
+ data_files: '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-18T15:41:31.806863.parquet'
204
+ - config_name: harness_hendrycksTest_college_medicine_5
205
+ data_files: '**/details_harness|hendrycksTest-college_medicine|5_2023-07-18T15:41:31.806863.parquet'
206
+ - config_name: harness_hendrycksTest_college_physics_5
207
+ data_files: '**/details_harness|hendrycksTest-college_physics|5_2023-07-18T15:41:31.806863.parquet'
208
+ - config_name: harness_hendrycksTest_computer_security_5
209
+ data_files: '**/details_harness|hendrycksTest-computer_security|5_2023-07-18T15:41:31.806863.parquet'
210
+ - config_name: harness_hendrycksTest_conceptual_physics_5
211
+ data_files: '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-18T15:41:31.806863.parquet'
212
+ - config_name: harness_hendrycksTest_econometrics_5
213
+ data_files: '**/details_harness|hendrycksTest-econometrics|5_2023-07-18T15:41:31.806863.parquet'
214
+ - config_name: harness_hendrycksTest_electrical_engineering_5
215
+ data_files: '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-18T15:41:31.806863.parquet'
216
+ - config_name: harness_hendrycksTest_elementary_mathematics_5
217
+ data_files: '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-18T15:41:31.806863.parquet'
218
+ - config_name: harness_hendrycksTest_formal_logic_5
219
+ data_files: '**/details_harness|hendrycksTest-formal_logic|5_2023-07-18T15:41:31.806863.parquet'
220
+ - config_name: harness_hendrycksTest_global_facts_5
221
+ data_files: '**/details_harness|hendrycksTest-global_facts|5_2023-07-18T15:41:31.806863.parquet'
222
+ - config_name: harness_hendrycksTest_high_school_biology_5
223
+ data_files: '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-18T15:41:31.806863.parquet'
224
+ - config_name: harness_hendrycksTest_high_school_chemistry_5
225
+ data_files: '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-18T15:41:31.806863.parquet'
226
+ - config_name: harness_hendrycksTest_high_school_computer_science_5
227
+ data_files: '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-18T15:41:31.806863.parquet'
228
+ - config_name: harness_hendrycksTest_high_school_european_history_5
229
+ data_files: '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-18T15:41:31.806863.parquet'
230
+ - config_name: harness_hendrycksTest_high_school_geography_5
231
+ data_files: '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-18T15:41:31.806863.parquet'
232
+ - config_name: harness_hendrycksTest_high_school_government_and_politics_5
233
+ data_files: '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-18T15:41:31.806863.parquet'
234
+ - config_name: harness_hendrycksTest_high_school_macroeconomics_5
235
+ data_files: '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-18T15:41:31.806863.parquet'
236
+ - config_name: harness_hendrycksTest_high_school_mathematics_5
237
+ data_files: '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-18T15:41:31.806863.parquet'
238
+ - config_name: harness_hendrycksTest_high_school_microeconomics_5
239
+ data_files: '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-18T15:41:31.806863.parquet'
240
+ - config_name: harness_hendrycksTest_high_school_physics_5
241
+ data_files: '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-18T15:41:31.806863.parquet'
242
+ - config_name: harness_hendrycksTest_high_school_psychology_5
243
+ data_files: '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-18T15:41:31.806863.parquet'
244
+ - config_name: harness_hendrycksTest_high_school_statistics_5
245
+ data_files: '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-18T15:41:31.806863.parquet'
246
+ - config_name: harness_hendrycksTest_high_school_us_history_5
247
+ data_files: '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-18T15:41:31.806863.parquet'
248
+ - config_name: harness_hendrycksTest_high_school_world_history_5
249
+ data_files: '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-18T15:41:31.806863.parquet'
250
+ - config_name: harness_hendrycksTest_human_aging_5
251
+ data_files: '**/details_harness|hendrycksTest-human_aging|5_2023-07-18T15:41:31.806863.parquet'
252
+ - config_name: harness_hendrycksTest_human_sexuality_5
253
+ data_files: '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-18T15:41:31.806863.parquet'
254
+ - config_name: harness_hendrycksTest_international_law_5
255
+ data_files: '**/details_harness|hendrycksTest-international_law|5_2023-07-18T15:41:31.806863.parquet'
256
+ - config_name: harness_hendrycksTest_jurisprudence_5
257
+ data_files: '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-18T15:41:31.806863.parquet'
258
+ - config_name: harness_hendrycksTest_logical_fallacies_5
259
+ data_files: '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-18T15:41:31.806863.parquet'
260
+ - config_name: harness_hendrycksTest_machine_learning_5
261
+ data_files: '**/details_harness|hendrycksTest-machine_learning|5_2023-07-18T15:41:31.806863.parquet'
262
+ - config_name: harness_hendrycksTest_management_5
263
+ data_files: '**/details_harness|hendrycksTest-management|5_2023-07-18T15:41:31.806863.parquet'
264
+ - config_name: harness_hendrycksTest_marketing_5
265
+ data_files: '**/details_harness|hendrycksTest-marketing|5_2023-07-18T15:41:31.806863.parquet'
266
+ - config_name: harness_hendrycksTest_medical_genetics_5
267
+ data_files: '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-18T15:41:31.806863.parquet'
268
+ - config_name: harness_hendrycksTest_miscellaneous_5
269
+ data_files: '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-18T15:41:31.806863.parquet'
270
+ - config_name: harness_hendrycksTest_moral_disputes_5
271
+ data_files: '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-18T15:41:31.806863.parquet'
272
+ - config_name: harness_hendrycksTest_moral_scenarios_5
273
+ data_files: '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-18T15:41:31.806863.parquet'
274
+ - config_name: harness_hendrycksTest_nutrition_5
275
+ data_files: '**/details_harness|hendrycksTest-nutrition|5_2023-07-18T15:41:31.806863.parquet'
276
+ - config_name: harness_hendrycksTest_philosophy_5
277
+ data_files: '**/details_harness|hendrycksTest-philosophy|5_2023-07-18T15:41:31.806863.parquet'
278
+ - config_name: harness_hendrycksTest_prehistory_5
279
+ data_files: '**/details_harness|hendrycksTest-prehistory|5_2023-07-18T15:41:31.806863.parquet'
280
+ - config_name: harness_hendrycksTest_professional_accounting_5
281
+ data_files: '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-18T15:41:31.806863.parquet'
282
+ - config_name: harness_hendrycksTest_professional_law_5
283
+ data_files: '**/details_harness|hendrycksTest-professional_law|5_2023-07-18T15:41:31.806863.parquet'
284
+ - config_name: harness_hendrycksTest_professional_medicine_5
285
+ data_files: '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-18T15:41:31.806863.parquet'
286
+ - config_name: harness_hendrycksTest_professional_psychology_5
287
+ data_files: '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-18T15:41:31.806863.parquet'
288
+ - config_name: harness_hendrycksTest_public_relations_5
289
+ data_files: '**/details_harness|hendrycksTest-public_relations|5_2023-07-18T15:41:31.806863.parquet'
290
+ - config_name: harness_hendrycksTest_security_studies_5
291
+ data_files: '**/details_harness|hendrycksTest-security_studies|5_2023-07-18T15:41:31.806863.parquet'
292
+ - config_name: harness_hendrycksTest_sociology_5
293
+ data_files: '**/details_harness|hendrycksTest-sociology|5_2023-07-18T15:41:31.806863.parquet'
294
+ - config_name: harness_hendrycksTest_us_foreign_policy_5
295
+ data_files: '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-18T15:41:31.806863.parquet'
296
+ - config_name: harness_hendrycksTest_virology_5
297
+ data_files: '**/details_harness|hendrycksTest-virology|5_2023-07-18T15:41:31.806863.parquet'
298
+ - config_name: harness_hendrycksTest_world_religions_5
299
+ data_files: '**/details_harness|hendrycksTest-world_religions|5_2023-07-18T15:41:31.806863.parquet'
300
+ - config_name: harness_truthfulqa_mc_0
301
+ data_files: '**/details_harness|truthfulqa:mc|0_2023-07-18T15:41:31.806863.parquet'
302
+ - config_name: results
303
+ data_files: '**/results_2023-07-18T15:41:31.806863.json'
304
+ ---
305
+
306
+ # Dataset Card for Evaluation run of TheBloke/wizard-vicuna-13B-HF
307
+
308
+ ## Dataset Description
309
+
310
+ - **Homepage:**
311
+ - **Repository:** https://huggingface.co/TheBloke/wizard-vicuna-13B-HF
312
+ - **Paper:**
313
+ - **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
314
+ - **Point of Contact:** clementine@hf.co
315
+
316
+ ### Dataset Summary
317
+
318
+ Dataset automatically created during the evaluation run of model [TheBloke/wizard-vicuna-13B-HF](https://huggingface.co/TheBloke/wizard-vicuna-13B-HF) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
319
+
320
+ The dataset is composed of 60 configuration, each one coresponding to one of the evaluated task.
321
+
322
+ 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.
323
+
324
+ 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)).
325
+
326
+ To load the details from a run, you can for instance do the following:
327
+ ```python
328
+ from datasets import load_dataset
329
+ data = load_dataset("open-llm-leaderboard/details_TheBloke__wizard-vicuna-13B-HF",
330
+ "harness_truthfulqa_mc_0",
331
+ split="train")
332
+ ```
333
+
334
+ ## Latest results
335
+
336
+ These are the latest results from run 2023-07-18T15:41:31.806863
337
+
338
+ ```python
339
+ {
340
+ "all": {
341
+ "acc": 0.49093552913894745,
342
+ "acc_stderr": 0.034974545085472035,
343
+ "acc_norm": 0.4948812495871784,
344
+ "acc_norm_stderr": 0.03495902752470686,
345
+ "mc1": 0.35006119951040393,
346
+ "mc1_stderr": 0.01669794942015103,
347
+ "mc2": 0.49619544657387094,
348
+ "mc2_stderr": 0.01573558851923109
349
+ },
350
+ "harness|arc:challenge|25": {
351
+ "acc": 0.5187713310580204,
352
+ "acc_stderr": 0.014601090150633964,
353
+ "acc_norm": 0.5469283276450512,
354
+ "acc_norm_stderr": 0.01454689205200563
355
+ },
356
+ "harness|hellaswag|10": {
357
+ "acc": 0.5871340370444135,
358
+ "acc_stderr": 0.0049134290105590705,
359
+ "acc_norm": 0.7917745469030074,
360
+ "acc_norm_stderr": 0.0040520910240415785
361
+ },
362
+ "harness|hendrycksTest-abstract_algebra|5": {
363
+ "acc": 0.32,
364
+ "acc_stderr": 0.046882617226215034,
365
+ "acc_norm": 0.32,
366
+ "acc_norm_stderr": 0.046882617226215034
367
+ },
368
+ "harness|hendrycksTest-anatomy|5": {
369
+ "acc": 0.4074074074074074,
370
+ "acc_stderr": 0.04244633238353229,
371
+ "acc_norm": 0.4074074074074074,
372
+ "acc_norm_stderr": 0.04244633238353229
373
+ },
374
+ "harness|hendrycksTest-astronomy|5": {
375
+ "acc": 0.47368421052631576,
376
+ "acc_stderr": 0.04063302731486671,
377
+ "acc_norm": 0.47368421052631576,
378
+ "acc_norm_stderr": 0.04063302731486671
379
+ },
380
+ "harness|hendrycksTest-business_ethics|5": {
381
+ "acc": 0.5,
382
+ "acc_stderr": 0.050251890762960605,
383
+ "acc_norm": 0.5,
384
+ "acc_norm_stderr": 0.050251890762960605
385
+ },
386
+ "harness|hendrycksTest-clinical_knowledge|5": {
387
+ "acc": 0.4716981132075472,
388
+ "acc_stderr": 0.0307235352490061,
389
+ "acc_norm": 0.4716981132075472,
390
+ "acc_norm_stderr": 0.0307235352490061
391
+ },
392
+ "harness|hendrycksTest-college_biology|5": {
393
+ "acc": 0.4861111111111111,
394
+ "acc_stderr": 0.041795966175810016,
395
+ "acc_norm": 0.4861111111111111,
396
+ "acc_norm_stderr": 0.041795966175810016
397
+ },
398
+ "harness|hendrycksTest-college_chemistry|5": {
399
+ "acc": 0.33,
400
+ "acc_stderr": 0.04725815626252604,
401
+ "acc_norm": 0.33,
402
+ "acc_norm_stderr": 0.04725815626252604
403
+ },
404
+ "harness|hendrycksTest-college_computer_science|5": {
405
+ "acc": 0.46,
406
+ "acc_stderr": 0.05009082659620332,
407
+ "acc_norm": 0.46,
408
+ "acc_norm_stderr": 0.05009082659620332
409
+ },
410
+ "harness|hendrycksTest-college_mathematics|5": {
411
+ "acc": 0.31,
412
+ "acc_stderr": 0.04648231987117316,
413
+ "acc_norm": 0.31,
414
+ "acc_norm_stderr": 0.04648231987117316
415
+ },
416
+ "harness|hendrycksTest-college_medicine|5": {
417
+ "acc": 0.3583815028901734,
418
+ "acc_stderr": 0.036563436533531585,
419
+ "acc_norm": 0.3583815028901734,
420
+ "acc_norm_stderr": 0.036563436533531585
421
+ },
422
+ "harness|hendrycksTest-college_physics|5": {
423
+ "acc": 0.17647058823529413,
424
+ "acc_stderr": 0.0379328118530781,
425
+ "acc_norm": 0.17647058823529413,
426
+ "acc_norm_stderr": 0.0379328118530781
427
+ },
428
+ "harness|hendrycksTest-computer_security|5": {
429
+ "acc": 0.61,
430
+ "acc_stderr": 0.04902071300001975,
431
+ "acc_norm": 0.61,
432
+ "acc_norm_stderr": 0.04902071300001975
433
+ },
434
+ "harness|hendrycksTest-conceptual_physics|5": {
435
+ "acc": 0.3829787234042553,
436
+ "acc_stderr": 0.03177821250236922,
437
+ "acc_norm": 0.3829787234042553,
438
+ "acc_norm_stderr": 0.03177821250236922
439
+ },
440
+ "harness|hendrycksTest-econometrics|5": {
441
+ "acc": 0.2807017543859649,
442
+ "acc_stderr": 0.04227054451232199,
443
+ "acc_norm": 0.2807017543859649,
444
+ "acc_norm_stderr": 0.04227054451232199
445
+ },
446
+ "harness|hendrycksTest-electrical_engineering|5": {
447
+ "acc": 0.4068965517241379,
448
+ "acc_stderr": 0.04093793981266237,
449
+ "acc_norm": 0.4068965517241379,
450
+ "acc_norm_stderr": 0.04093793981266237
451
+ },
452
+ "harness|hendrycksTest-elementary_mathematics|5": {
453
+ "acc": 0.2751322751322751,
454
+ "acc_stderr": 0.023000086859068642,
455
+ "acc_norm": 0.2751322751322751,
456
+ "acc_norm_stderr": 0.023000086859068642
457
+ },
458
+ "harness|hendrycksTest-formal_logic|5": {
459
+ "acc": 0.38095238095238093,
460
+ "acc_stderr": 0.04343525428949098,
461
+ "acc_norm": 0.38095238095238093,
462
+ "acc_norm_stderr": 0.04343525428949098
463
+ },
464
+ "harness|hendrycksTest-global_facts|5": {
465
+ "acc": 0.3,
466
+ "acc_stderr": 0.046056618647183814,
467
+ "acc_norm": 0.3,
468
+ "acc_norm_stderr": 0.046056618647183814
469
+ },
470
+ "harness|hendrycksTest-high_school_biology|5": {
471
+ "acc": 0.5225806451612903,
472
+ "acc_stderr": 0.02841498501970786,
473
+ "acc_norm": 0.5225806451612903,
474
+ "acc_norm_stderr": 0.02841498501970786
475
+ },
476
+ "harness|hendrycksTest-high_school_chemistry|5": {
477
+ "acc": 0.35960591133004927,
478
+ "acc_stderr": 0.03376458246509568,
479
+ "acc_norm": 0.35960591133004927,
480
+ "acc_norm_stderr": 0.03376458246509568
481
+ },
482
+ "harness|hendrycksTest-high_school_computer_science|5": {
483
+ "acc": 0.52,
484
+ "acc_stderr": 0.050211673156867795,
485
+ "acc_norm": 0.52,
486
+ "acc_norm_stderr": 0.050211673156867795
487
+ },
488
+ "harness|hendrycksTest-high_school_european_history|5": {
489
+ "acc": 0.6545454545454545,
490
+ "acc_stderr": 0.037131580674819135,
491
+ "acc_norm": 0.6545454545454545,
492
+ "acc_norm_stderr": 0.037131580674819135
493
+ },
494
+ "harness|hendrycksTest-high_school_geography|5": {
495
+ "acc": 0.6161616161616161,
496
+ "acc_stderr": 0.03464881675016339,
497
+ "acc_norm": 0.6161616161616161,
498
+ "acc_norm_stderr": 0.03464881675016339
499
+ },
500
+ "harness|hendrycksTest-high_school_government_and_politics|5": {
501
+ "acc": 0.6839378238341969,
502
+ "acc_stderr": 0.03355397369686173,
503
+ "acc_norm": 0.6839378238341969,
504
+ "acc_norm_stderr": 0.03355397369686173
505
+ },
506
+ "harness|hendrycksTest-high_school_macroeconomics|5": {
507
+ "acc": 0.4153846153846154,
508
+ "acc_stderr": 0.024985354923102332,
509
+ "acc_norm": 0.4153846153846154,
510
+ "acc_norm_stderr": 0.024985354923102332
511
+ },
512
+ "harness|hendrycksTest-high_school_mathematics|5": {
513
+ "acc": 0.23703703703703705,
514
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515
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572
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638
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+ "harness|hendrycksTest-virology|5": {
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+ "harness|hendrycksTest-world_religions|5": {
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+ "harness|truthfulqa:mc|0": {
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709
+ }
710
+ }
711
+ ```
712
+
713
+ ### Supported Tasks and Leaderboards
714
+
715
+ [More Information Needed]
716
+
717
+ ### Languages
718
+
719
+ [More Information Needed]
720
+
721
+ ## Dataset Structure
722
+
723
+ ### Data Instances
724
+
725
+ [More Information Needed]
726
+
727
+ ### Data Fields
728
+
729
+ [More Information Needed]
730
+
731
+ ### Data Splits
732
+
733
+ [More Information Needed]
734
+
735
+ ## Dataset Creation
736
+
737
+ ### Curation Rationale
738
+
739
+ [More Information Needed]
740
+
741
+ ### Source Data
742
+
743
+ #### Initial Data Collection and Normalization
744
+
745
+ [More Information Needed]
746
+
747
+ #### Who are the source language producers?
748
+
749
+ [More Information Needed]
750
+
751
+ ### Annotations
752
+
753
+ #### Annotation process
754
+
755
+ [More Information Needed]
756
+
757
+ #### Who are the annotators?
758
+
759
+ [More Information Needed]
760
+
761
+ ### Personal and Sensitive Information
762
+
763
+ [More Information Needed]
764
+
765
+ ## Considerations for Using the Data
766
+
767
+ ### Social Impact of Dataset
768
+
769
+ [More Information Needed]
770
+
771
+ ### Discussion of Biases
772
+
773
+ [More Information Needed]
774
+
775
+ ### Other Known Limitations
776
+
777
+ [More Information Needed]
778
+
779
+ ## Additional Information
780
+
781
+ ### Dataset Curators
782
+
783
+ [More Information Needed]
784
+
785
+ ### Licensing Information
786
+
787
+ [More Information Needed]
788
+
789
+ ### Citation Information
790
+
791
+ [More Information Needed]
792
+
793
+ ### Contributions
794
+
795
+ [More Information Needed]