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details_KoboldAI__fairseq-dense-355M

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1
+ ---
2
+ pretty_name: Evaluation run of KoboldAI/fairseq-dense-355M
3
+ dataset_summary: "Dataset automatically created during the evaluation run of model\
4
+ \ [KoboldAI/fairseq-dense-355M](https://huggingface.co/KoboldAI/fairseq-dense-355M)\
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_KoboldAI__fairseq-dense-355M\"\
15
+ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\
16
+ \nThese are the latest results from run 2023-07-19T14:19:36.418877\n\n```python\n\
17
+ {\n \"all\": {\n \"acc\": 0.254590602599736,\n \"acc_stderr\":\
18
+ \ 0.031410040700588275,\n \"acc_norm\": 0.2566910305276658,\n \"acc_norm_stderr\"\
19
+ : 0.03142192724345506,\n \"mc1\": 0.22643818849449204,\n \"mc1_stderr\"\
20
+ : 0.01465133732460257,\n \"mc2\": 0.3919368306011215,\n \"mc2_stderr\"\
21
+ : 0.014518433987465088\n },\n \"harness|arc:challenge|25\": {\n \"\
22
+ acc\": 0.2235494880546075,\n \"acc_stderr\": 0.01217489663120261,\n \
23
+ \ \"acc_norm\": 0.25426621160409557,\n \"acc_norm_stderr\": 0.012724999945157744\n\
24
+ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.37353116908982276,\n\
25
+ \ \"acc_stderr\": 0.004827526584889688,\n \"acc_norm\": 0.4667396932881896,\n\
26
+ \ \"acc_norm_stderr\": 0.0049787293000748915\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
27
+ : {\n \"acc\": 0.23,\n \"acc_stderr\": 0.04229525846816508,\n \
28
+ \ \"acc_norm\": 0.23,\n \"acc_norm_stderr\": 0.04229525846816508\n \
29
+ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.31851851851851853,\n\
30
+ \ \"acc_stderr\": 0.040247784019771096,\n \"acc_norm\": 0.31851851851851853,\n\
31
+ \ \"acc_norm_stderr\": 0.040247784019771096\n },\n \"harness|hendrycksTest-astronomy|5\"\
32
+ : {\n \"acc\": 0.17763157894736842,\n \"acc_stderr\": 0.031103182383123398,\n\
33
+ \ \"acc_norm\": 0.17763157894736842,\n \"acc_norm_stderr\": 0.031103182383123398\n\
34
+ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.24,\n\
35
+ \ \"acc_stderr\": 0.04292346959909281,\n \"acc_norm\": 0.24,\n \
36
+ \ \"acc_norm_stderr\": 0.04292346959909281\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
37
+ : {\n \"acc\": 0.24150943396226415,\n \"acc_stderr\": 0.026341480371118362,\n\
38
+ \ \"acc_norm\": 0.24150943396226415,\n \"acc_norm_stderr\": 0.026341480371118362\n\
39
+ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.20833333333333334,\n\
40
+ \ \"acc_stderr\": 0.03396116205845335,\n \"acc_norm\": 0.20833333333333334,\n\
41
+ \ \"acc_norm_stderr\": 0.03396116205845335\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
42
+ : {\n \"acc\": 0.23,\n \"acc_stderr\": 0.04229525846816508,\n \
43
+ \ \"acc_norm\": 0.23,\n \"acc_norm_stderr\": 0.04229525846816508\n \
44
+ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
45
+ : 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \"acc_norm\": 0.32,\n\
46
+ \ \"acc_norm_stderr\": 0.046882617226215034\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
47
+ : {\n \"acc\": 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \
48
+ \ \"acc_norm\": 0.25,\n \"acc_norm_stderr\": 0.04351941398892446\n \
49
+ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.16184971098265896,\n\
50
+ \ \"acc_stderr\": 0.02808359427957577,\n \"acc_norm\": 0.16184971098265896,\n\
51
+ \ \"acc_norm_stderr\": 0.02808359427957577\n },\n \"harness|hendrycksTest-college_physics|5\"\
52
+ : {\n \"acc\": 0.27450980392156865,\n \"acc_stderr\": 0.044405219061793275,\n\
53
+ \ \"acc_norm\": 0.27450980392156865,\n \"acc_norm_stderr\": 0.044405219061793275\n\
54
+ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
55
+ \ 0.27,\n \"acc_stderr\": 0.0446196043338474,\n \"acc_norm\": 0.27,\n\
56
+ \ \"acc_norm_stderr\": 0.0446196043338474\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
57
+ : {\n \"acc\": 0.22127659574468084,\n \"acc_stderr\": 0.027136349602424052,\n\
58
+ \ \"acc_norm\": 0.22127659574468084,\n \"acc_norm_stderr\": 0.027136349602424052\n\
59
+ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.23684210526315788,\n\
60
+ \ \"acc_stderr\": 0.03999423879281336,\n \"acc_norm\": 0.23684210526315788,\n\
61
+ \ \"acc_norm_stderr\": 0.03999423879281336\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
62
+ : {\n \"acc\": 0.21379310344827587,\n \"acc_stderr\": 0.03416520447747549,\n\
63
+ \ \"acc_norm\": 0.21379310344827587,\n \"acc_norm_stderr\": 0.03416520447747549\n\
64
+ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
65
+ : 0.2566137566137566,\n \"acc_stderr\": 0.022494510767503154,\n \"\
66
+ acc_norm\": 0.2566137566137566,\n \"acc_norm_stderr\": 0.022494510767503154\n\
67
+ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.15079365079365079,\n\
68
+ \ \"acc_stderr\": 0.03200686497287392,\n \"acc_norm\": 0.15079365079365079,\n\
69
+ \ \"acc_norm_stderr\": 0.03200686497287392\n },\n \"harness|hendrycksTest-global_facts|5\"\
70
+ : {\n \"acc\": 0.17,\n \"acc_stderr\": 0.0377525168068637,\n \
71
+ \ \"acc_norm\": 0.17,\n \"acc_norm_stderr\": 0.0377525168068637\n },\n\
72
+ \ \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.24193548387096775,\n\
73
+ \ \"acc_stderr\": 0.024362599693031103,\n \"acc_norm\": 0.24193548387096775,\n\
74
+ \ \"acc_norm_stderr\": 0.024362599693031103\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
75
+ : {\n \"acc\": 0.30049261083743845,\n \"acc_stderr\": 0.03225799476233483,\n\
76
+ \ \"acc_norm\": 0.30049261083743845,\n \"acc_norm_stderr\": 0.03225799476233483\n\
77
+ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
78
+ \ \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252605,\n \"acc_norm\"\
79
+ : 0.33,\n \"acc_norm_stderr\": 0.04725815626252605\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
80
+ : {\n \"acc\": 0.22424242424242424,\n \"acc_stderr\": 0.032568666616811015,\n\
81
+ \ \"acc_norm\": 0.22424242424242424,\n \"acc_norm_stderr\": 0.032568666616811015\n\
82
+ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
83
+ : 0.17676767676767677,\n \"acc_stderr\": 0.027178752639044915,\n \"\
84
+ acc_norm\": 0.17676767676767677,\n \"acc_norm_stderr\": 0.027178752639044915\n\
85
+ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
86
+ \ \"acc\": 0.22797927461139897,\n \"acc_stderr\": 0.030276909945178253,\n\
87
+ \ \"acc_norm\": 0.22797927461139897,\n \"acc_norm_stderr\": 0.030276909945178253\n\
88
+ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
89
+ \ \"acc\": 0.2358974358974359,\n \"acc_stderr\": 0.021525965407408726,\n\
90
+ \ \"acc_norm\": 0.2358974358974359,\n \"acc_norm_stderr\": 0.021525965407408726\n\
91
+ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
92
+ acc\": 0.26666666666666666,\n \"acc_stderr\": 0.026962424325073838,\n \
93
+ \ \"acc_norm\": 0.26666666666666666,\n \"acc_norm_stderr\": 0.026962424325073838\n\
94
+ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
95
+ \ \"acc\": 0.226890756302521,\n \"acc_stderr\": 0.02720537153827948,\n \
96
+ \ \"acc_norm\": 0.226890756302521,\n \"acc_norm_stderr\": 0.02720537153827948\n\
97
+ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
98
+ : 0.2119205298013245,\n \"acc_stderr\": 0.03336767086567978,\n \"\
99
+ acc_norm\": 0.2119205298013245,\n \"acc_norm_stderr\": 0.03336767086567978\n\
100
+ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
101
+ : 0.29724770642201837,\n \"acc_stderr\": 0.019595707224643544,\n \"\
102
+ acc_norm\": 0.29724770642201837,\n \"acc_norm_stderr\": 0.019595707224643544\n\
103
+ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
104
+ : 0.4212962962962963,\n \"acc_stderr\": 0.033674621388960775,\n \"\
105
+ acc_norm\": 0.4212962962962963,\n \"acc_norm_stderr\": 0.033674621388960775\n\
106
+ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
107
+ : 0.2696078431372549,\n \"acc_stderr\": 0.031145570659486782,\n \"\
108
+ acc_norm\": 0.2696078431372549,\n \"acc_norm_stderr\": 0.031145570659486782\n\
109
+ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
110
+ acc\": 0.3037974683544304,\n \"acc_stderr\": 0.029936696387138594,\n \
111
+ \ \"acc_norm\": 0.3037974683544304,\n \"acc_norm_stderr\": 0.029936696387138594\n\
112
+ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.3632286995515695,\n\
113
+ \ \"acc_stderr\": 0.03227790442850499,\n \"acc_norm\": 0.3632286995515695,\n\
114
+ \ \"acc_norm_stderr\": 0.03227790442850499\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
115
+ : {\n \"acc\": 0.2900763358778626,\n \"acc_stderr\": 0.03980066246467765,\n\
116
+ \ \"acc_norm\": 0.2900763358778626,\n \"acc_norm_stderr\": 0.03980066246467765\n\
117
+ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
118
+ \ 0.2644628099173554,\n \"acc_stderr\": 0.04026187527591205,\n \"\
119
+ acc_norm\": 0.2644628099173554,\n \"acc_norm_stderr\": 0.04026187527591205\n\
120
+ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.25925925925925924,\n\
121
+ \ \"acc_stderr\": 0.042365112580946336,\n \"acc_norm\": 0.25925925925925924,\n\
122
+ \ \"acc_norm_stderr\": 0.042365112580946336\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
123
+ : {\n \"acc\": 0.294478527607362,\n \"acc_stderr\": 0.03581165790474082,\n\
124
+ \ \"acc_norm\": 0.294478527607362,\n \"acc_norm_stderr\": 0.03581165790474082\n\
125
+ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.24107142857142858,\n\
126
+ \ \"acc_stderr\": 0.04059867246952687,\n \"acc_norm\": 0.24107142857142858,\n\
127
+ \ \"acc_norm_stderr\": 0.04059867246952687\n },\n \"harness|hendrycksTest-management|5\"\
128
+ : {\n \"acc\": 0.17475728155339806,\n \"acc_stderr\": 0.037601780060266224,\n\
129
+ \ \"acc_norm\": 0.17475728155339806,\n \"acc_norm_stderr\": 0.037601780060266224\n\
130
+ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.25213675213675213,\n\
131
+ \ \"acc_stderr\": 0.02844796547623101,\n \"acc_norm\": 0.25213675213675213,\n\
132
+ \ \"acc_norm_stderr\": 0.02844796547623101\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
133
+ : {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \
134
+ \ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \
135
+ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.24521072796934865,\n\
136
+ \ \"acc_stderr\": 0.015384352284543932,\n \"acc_norm\": 0.24521072796934865,\n\
137
+ \ \"acc_norm_stderr\": 0.015384352284543932\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
138
+ : {\n \"acc\": 0.24855491329479767,\n \"acc_stderr\": 0.023267528432100174,\n\
139
+ \ \"acc_norm\": 0.24855491329479767,\n \"acc_norm_stderr\": 0.023267528432100174\n\
140
+ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2446927374301676,\n\
141
+ \ \"acc_stderr\": 0.014378169884098407,\n \"acc_norm\": 0.2446927374301676,\n\
142
+ \ \"acc_norm_stderr\": 0.014378169884098407\n },\n \"harness|hendrycksTest-nutrition|5\"\
143
+ : {\n \"acc\": 0.24836601307189543,\n \"acc_stderr\": 0.02473998135511359,\n\
144
+ \ \"acc_norm\": 0.24836601307189543,\n \"acc_norm_stderr\": 0.02473998135511359\n\
145
+ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.27009646302250806,\n\
146
+ \ \"acc_stderr\": 0.02521804037341061,\n \"acc_norm\": 0.27009646302250806,\n\
147
+ \ \"acc_norm_stderr\": 0.02521804037341061\n },\n \"harness|hendrycksTest-prehistory|5\"\
148
+ : {\n \"acc\": 0.2006172839506173,\n \"acc_stderr\": 0.022282313949774885,\n\
149
+ \ \"acc_norm\": 0.2006172839506173,\n \"acc_norm_stderr\": 0.022282313949774885\n\
150
+ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
151
+ acc\": 0.23404255319148937,\n \"acc_stderr\": 0.025257861359432403,\n \
152
+ \ \"acc_norm\": 0.23404255319148937,\n \"acc_norm_stderr\": 0.025257861359432403\n\
153
+ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.23859191655801826,\n\
154
+ \ \"acc_stderr\": 0.010885929742002204,\n \"acc_norm\": 0.23859191655801826,\n\
155
+ \ \"acc_norm_stderr\": 0.010885929742002204\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
156
+ : {\n \"acc\": 0.4522058823529412,\n \"acc_stderr\": 0.030233758551596452,\n\
157
+ \ \"acc_norm\": 0.4522058823529412,\n \"acc_norm_stderr\": 0.030233758551596452\n\
158
+ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
159
+ acc\": 0.25,\n \"acc_stderr\": 0.01751781884501444,\n \"acc_norm\"\
160
+ : 0.25,\n \"acc_norm_stderr\": 0.01751781884501444\n },\n \"harness|hendrycksTest-public_relations|5\"\
161
+ : {\n \"acc\": 0.2,\n \"acc_stderr\": 0.03831305140884603,\n \
162
+ \ \"acc_norm\": 0.2,\n \"acc_norm_stderr\": 0.03831305140884603\n },\n\
163
+ \ \"harness|hendrycksTest-security_studies|5\": {\n \"acc\": 0.16326530612244897,\n\
164
+ \ \"acc_stderr\": 0.02366169917709861,\n \"acc_norm\": 0.16326530612244897,\n\
165
+ \ \"acc_norm_stderr\": 0.02366169917709861\n },\n \"harness|hendrycksTest-sociology|5\"\
166
+ : {\n \"acc\": 0.2537313432835821,\n \"acc_stderr\": 0.030769444967296014,\n\
167
+ \ \"acc_norm\": 0.2537313432835821,\n \"acc_norm_stderr\": 0.030769444967296014\n\
168
+ \ },\n \"harness|hendrycksTest-us_foreign_policy|5\": {\n \"acc\":\
169
+ \ 0.29,\n \"acc_stderr\": 0.045604802157206845,\n \"acc_norm\": 0.29,\n\
170
+ \ \"acc_norm_stderr\": 0.045604802157206845\n },\n \"harness|hendrycksTest-virology|5\"\
171
+ : {\n \"acc\": 0.21686746987951808,\n \"acc_stderr\": 0.03208284450356365,\n\
172
+ \ \"acc_norm\": 0.21686746987951808,\n \"acc_norm_stderr\": 0.03208284450356365\n\
173
+ \ },\n \"harness|hendrycksTest-world_religions|5\": {\n \"acc\": 0.3216374269005848,\n\
174
+ \ \"acc_stderr\": 0.03582529442573122,\n \"acc_norm\": 0.3216374269005848,\n\
175
+ \ \"acc_norm_stderr\": 0.03582529442573122\n },\n \"harness|truthfulqa:mc|0\"\
176
+ : {\n \"mc1\": 0.22643818849449204,\n \"mc1_stderr\": 0.01465133732460257,\n\
177
+ \ \"mc2\": 0.3919368306011215,\n \"mc2_stderr\": 0.014518433987465088\n\
178
+ \ }\n}\n```"
179
+ repo_url: https://huggingface.co/KoboldAI/fairseq-dense-355M
180
+ leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
181
+ point_of_contact: [email protected]
182
+ configs:
183
+ - config_name: harness_arc_challenge_25
184
+ data_files: '**/details_harness|arc:challenge|25_2023-07-19T14:19:36.418877.parquet'
185
+ - config_name: harness_hellaswag_10
186
+ data_files: '**/details_harness|hellaswag|10_2023-07-19T14:19:36.418877.parquet'
187
+ - config_name: harness_hendrycksTest_abstract_algebra_5
188
+ data_files: '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T14:19:36.418877.parquet'
189
+ - config_name: harness_hendrycksTest_anatomy_5
190
+ data_files: '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T14:19:36.418877.parquet'
191
+ - config_name: harness_hendrycksTest_astronomy_5
192
+ data_files: '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T14:19:36.418877.parquet'
193
+ - config_name: harness_hendrycksTest_business_ethics_5
194
+ data_files: '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T14:19:36.418877.parquet'
195
+ - config_name: harness_hendrycksTest_clinical_knowledge_5
196
+ data_files: '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T14:19:36.418877.parquet'
197
+ - config_name: harness_hendrycksTest_college_biology_5
198
+ data_files: '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T14:19:36.418877.parquet'
199
+ - config_name: harness_hendrycksTest_college_chemistry_5
200
+ data_files: '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T14:19:36.418877.parquet'
201
+ - config_name: harness_hendrycksTest_college_computer_science_5
202
+ data_files: '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T14:19:36.418877.parquet'
203
+ - config_name: harness_hendrycksTest_college_mathematics_5
204
+ data_files: '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T14:19:36.418877.parquet'
205
+ - config_name: harness_hendrycksTest_college_medicine_5
206
+ data_files: '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T14:19:36.418877.parquet'
207
+ - config_name: harness_hendrycksTest_college_physics_5
208
+ data_files: '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T14:19:36.418877.parquet'
209
+ - config_name: harness_hendrycksTest_computer_security_5
210
+ data_files: '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T14:19:36.418877.parquet'
211
+ - config_name: harness_hendrycksTest_conceptual_physics_5
212
+ data_files: '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T14:19:36.418877.parquet'
213
+ - config_name: harness_hendrycksTest_econometrics_5
214
+ data_files: '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T14:19:36.418877.parquet'
215
+ - config_name: harness_hendrycksTest_electrical_engineering_5
216
+ data_files: '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T14:19:36.418877.parquet'
217
+ - config_name: harness_hendrycksTest_elementary_mathematics_5
218
+ data_files: '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T14:19:36.418877.parquet'
219
+ - config_name: harness_hendrycksTest_formal_logic_5
220
+ data_files: '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T14:19:36.418877.parquet'
221
+ - config_name: harness_hendrycksTest_global_facts_5
222
+ data_files: '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T14:19:36.418877.parquet'
223
+ - config_name: harness_hendrycksTest_high_school_biology_5
224
+ data_files: '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T14:19:36.418877.parquet'
225
+ - config_name: harness_hendrycksTest_high_school_chemistry_5
226
+ data_files: '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T14:19:36.418877.parquet'
227
+ - config_name: harness_hendrycksTest_high_school_computer_science_5
228
+ data_files: '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T14:19:36.418877.parquet'
229
+ - config_name: harness_hendrycksTest_high_school_european_history_5
230
+ data_files: '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T14:19:36.418877.parquet'
231
+ - config_name: harness_hendrycksTest_high_school_geography_5
232
+ data_files: '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T14:19:36.418877.parquet'
233
+ - config_name: harness_hendrycksTest_high_school_government_and_politics_5
234
+ data_files: '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T14:19:36.418877.parquet'
235
+ - config_name: harness_hendrycksTest_high_school_macroeconomics_5
236
+ data_files: '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T14:19:36.418877.parquet'
237
+ - config_name: harness_hendrycksTest_high_school_mathematics_5
238
+ data_files: '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T14:19:36.418877.parquet'
239
+ - config_name: harness_hendrycksTest_high_school_microeconomics_5
240
+ data_files: '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T14:19:36.418877.parquet'
241
+ - config_name: harness_hendrycksTest_high_school_physics_5
242
+ data_files: '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T14:19:36.418877.parquet'
243
+ - config_name: harness_hendrycksTest_high_school_psychology_5
244
+ data_files: '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T14:19:36.418877.parquet'
245
+ - config_name: harness_hendrycksTest_high_school_statistics_5
246
+ data_files: '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T14:19:36.418877.parquet'
247
+ - config_name: harness_hendrycksTest_high_school_us_history_5
248
+ data_files: '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T14:19:36.418877.parquet'
249
+ - config_name: harness_hendrycksTest_high_school_world_history_5
250
+ data_files: '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T14:19:36.418877.parquet'
251
+ - config_name: harness_hendrycksTest_human_aging_5
252
+ data_files: '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T14:19:36.418877.parquet'
253
+ - config_name: harness_hendrycksTest_human_sexuality_5
254
+ data_files: '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T14:19:36.418877.parquet'
255
+ - config_name: harness_hendrycksTest_international_law_5
256
+ data_files: '**/details_harness|hendrycksTest-international_law|5_2023-07-19T14:19:36.418877.parquet'
257
+ - config_name: harness_hendrycksTest_jurisprudence_5
258
+ data_files: '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T14:19:36.418877.parquet'
259
+ - config_name: harness_hendrycksTest_logical_fallacies_5
260
+ data_files: '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T14:19:36.418877.parquet'
261
+ - config_name: harness_hendrycksTest_machine_learning_5
262
+ data_files: '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T14:19:36.418877.parquet'
263
+ - config_name: harness_hendrycksTest_management_5
264
+ data_files: '**/details_harness|hendrycksTest-management|5_2023-07-19T14:19:36.418877.parquet'
265
+ - config_name: harness_hendrycksTest_marketing_5
266
+ data_files: '**/details_harness|hendrycksTest-marketing|5_2023-07-19T14:19:36.418877.parquet'
267
+ - config_name: harness_hendrycksTest_medical_genetics_5
268
+ data_files: '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T14:19:36.418877.parquet'
269
+ - config_name: harness_hendrycksTest_miscellaneous_5
270
+ data_files: '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T14:19:36.418877.parquet'
271
+ - config_name: harness_hendrycksTest_moral_disputes_5
272
+ data_files: '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T14:19:36.418877.parquet'
273
+ - config_name: harness_hendrycksTest_moral_scenarios_5
274
+ data_files: '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T14:19:36.418877.parquet'
275
+ - config_name: harness_hendrycksTest_nutrition_5
276
+ data_files: '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T14:19:36.418877.parquet'
277
+ - config_name: harness_hendrycksTest_philosophy_5
278
+ data_files: '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T14:19:36.418877.parquet'
279
+ - config_name: harness_hendrycksTest_prehistory_5
280
+ data_files: '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T14:19:36.418877.parquet'
281
+ - config_name: harness_hendrycksTest_professional_accounting_5
282
+ data_files: '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T14:19:36.418877.parquet'
283
+ - config_name: harness_hendrycksTest_professional_law_5
284
+ data_files: '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T14:19:36.418877.parquet'
285
+ - config_name: harness_hendrycksTest_professional_medicine_5
286
+ data_files: '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T14:19:36.418877.parquet'
287
+ - config_name: harness_hendrycksTest_professional_psychology_5
288
+ data_files: '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T14:19:36.418877.parquet'
289
+ - config_name: harness_hendrycksTest_public_relations_5
290
+ data_files: '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T14:19:36.418877.parquet'
291
+ - config_name: harness_hendrycksTest_security_studies_5
292
+ data_files: '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T14:19:36.418877.parquet'
293
+ - config_name: harness_hendrycksTest_sociology_5
294
+ data_files: '**/details_harness|hendrycksTest-sociology|5_2023-07-19T14:19:36.418877.parquet'
295
+ - config_name: harness_hendrycksTest_us_foreign_policy_5
296
+ data_files: '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T14:19:36.418877.parquet'
297
+ - config_name: harness_hendrycksTest_virology_5
298
+ data_files: '**/details_harness|hendrycksTest-virology|5_2023-07-19T14:19:36.418877.parquet'
299
+ - config_name: harness_hendrycksTest_world_religions_5
300
+ data_files: '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T14:19:36.418877.parquet'
301
+ - config_name: harness_truthfulqa_mc_0
302
+ data_files: '**/details_harness|truthfulqa:mc|0_2023-07-19T14:19:36.418877.parquet'
303
+ - config_name: results
304
+ data_files: '**/results_2023-07-19T14:19:36.418877.json'
305
+ ---
306
+
307
+ # Dataset Card for Evaluation run of KoboldAI/fairseq-dense-355M
308
+
309
+ ## Dataset Description
310
+
311
+ - **Homepage:**
312
+ - **Repository:** https://huggingface.co/KoboldAI/fairseq-dense-355M
313
+ - **Paper:**
314
+ - **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
315
+ - **Point of Contact:** [email protected]
316
+
317
+ ### Dataset Summary
318
+
319
+ Dataset automatically created during the evaluation run of model [KoboldAI/fairseq-dense-355M](https://huggingface.co/KoboldAI/fairseq-dense-355M) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
320
+
321
+ The dataset is composed of 60 configuration, each one coresponding to one of the evaluated task.
322
+
323
+ 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.
324
+
325
+ 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)).
326
+
327
+ To load the details from a run, you can for instance do the following:
328
+ ```python
329
+ from datasets import load_dataset
330
+ data = load_dataset("open-llm-leaderboard/details_KoboldAI__fairseq-dense-355M",
331
+ "harness_truthfulqa_mc_0",
332
+ split="train")
333
+ ```
334
+
335
+ ## Latest results
336
+
337
+ These are the latest results from run 2023-07-19T14:19:36.418877
338
+
339
+ ```python
340
+ {
341
+ "all": {
342
+ "acc": 0.254590602599736,
343
+ "acc_stderr": 0.031410040700588275,
344
+ "acc_norm": 0.2566910305276658,
345
+ "acc_norm_stderr": 0.03142192724345506,
346
+ "mc1": 0.22643818849449204,
347
+ "mc1_stderr": 0.01465133732460257,
348
+ "mc2": 0.3919368306011215,
349
+ "mc2_stderr": 0.014518433987465088
350
+ },
351
+ "harness|arc:challenge|25": {
352
+ "acc": 0.2235494880546075,
353
+ "acc_stderr": 0.01217489663120261,
354
+ "acc_norm": 0.25426621160409557,
355
+ "acc_norm_stderr": 0.012724999945157744
356
+ },
357
+ "harness|hellaswag|10": {
358
+ "acc": 0.37353116908982276,
359
+ "acc_stderr": 0.004827526584889688,
360
+ "acc_norm": 0.4667396932881896,
361
+ "acc_norm_stderr": 0.0049787293000748915
362
+ },
363
+ "harness|hendrycksTest-abstract_algebra|5": {
364
+ "acc": 0.23,
365
+ "acc_stderr": 0.04229525846816508,
366
+ "acc_norm": 0.23,
367
+ "acc_norm_stderr": 0.04229525846816508
368
+ },
369
+ "harness|hendrycksTest-anatomy|5": {
370
+ "acc": 0.31851851851851853,
371
+ "acc_stderr": 0.040247784019771096,
372
+ "acc_norm": 0.31851851851851853,
373
+ "acc_norm_stderr": 0.040247784019771096
374
+ },
375
+ "harness|hendrycksTest-astronomy|5": {
376
+ "acc": 0.17763157894736842,
377
+ "acc_stderr": 0.031103182383123398,
378
+ "acc_norm": 0.17763157894736842,
379
+ "acc_norm_stderr": 0.031103182383123398
380
+ },
381
+ "harness|hendrycksTest-business_ethics|5": {
382
+ "acc": 0.24,
383
+ "acc_stderr": 0.04292346959909281,
384
+ "acc_norm": 0.24,
385
+ "acc_norm_stderr": 0.04292346959909281
386
+ },
387
+ "harness|hendrycksTest-clinical_knowledge|5": {
388
+ "acc": 0.24150943396226415,
389
+ "acc_stderr": 0.026341480371118362,
390
+ "acc_norm": 0.24150943396226415,
391
+ "acc_norm_stderr": 0.026341480371118362
392
+ },
393
+ "harness|hendrycksTest-college_biology|5": {
394
+ "acc": 0.20833333333333334,
395
+ "acc_stderr": 0.03396116205845335,
396
+ "acc_norm": 0.20833333333333334,
397
+ "acc_norm_stderr": 0.03396116205845335
398
+ },
399
+ "harness|hendrycksTest-college_chemistry|5": {
400
+ "acc": 0.23,
401
+ "acc_stderr": 0.04229525846816508,
402
+ "acc_norm": 0.23,
403
+ "acc_norm_stderr": 0.04229525846816508
404
+ },
405
+ "harness|hendrycksTest-college_computer_science|5": {
406
+ "acc": 0.32,
407
+ "acc_stderr": 0.046882617226215034,
408
+ "acc_norm": 0.32,
409
+ "acc_norm_stderr": 0.046882617226215034
410
+ },
411
+ "harness|hendrycksTest-college_mathematics|5": {
412
+ "acc": 0.25,
413
+ "acc_stderr": 0.04351941398892446,
414
+ "acc_norm": 0.25,
415
+ "acc_norm_stderr": 0.04351941398892446
416
+ },
417
+ "harness|hendrycksTest-college_medicine|5": {
418
+ "acc": 0.16184971098265896,
419
+ "acc_stderr": 0.02808359427957577,
420
+ "acc_norm": 0.16184971098265896,
421
+ "acc_norm_stderr": 0.02808359427957577
422
+ },
423
+ "harness|hendrycksTest-college_physics|5": {
424
+ "acc": 0.27450980392156865,
425
+ "acc_stderr": 0.044405219061793275,
426
+ "acc_norm": 0.27450980392156865,
427
+ "acc_norm_stderr": 0.044405219061793275
428
+ },
429
+ "harness|hendrycksTest-computer_security|5": {
430
+ "acc": 0.27,
431
+ "acc_stderr": 0.0446196043338474,
432
+ "acc_norm": 0.27,
433
+ "acc_norm_stderr": 0.0446196043338474
434
+ },
435
+ "harness|hendrycksTest-conceptual_physics|5": {
436
+ "acc": 0.22127659574468084,
437
+ "acc_stderr": 0.027136349602424052,
438
+ "acc_norm": 0.22127659574468084,
439
+ "acc_norm_stderr": 0.027136349602424052
440
+ },
441
+ "harness|hendrycksTest-econometrics|5": {
442
+ "acc": 0.23684210526315788,
443
+ "acc_stderr": 0.03999423879281336,
444
+ "acc_norm": 0.23684210526315788,
445
+ "acc_norm_stderr": 0.03999423879281336
446
+ },
447
+ "harness|hendrycksTest-electrical_engineering|5": {
448
+ "acc": 0.21379310344827587,
449
+ "acc_stderr": 0.03416520447747549,
450
+ "acc_norm": 0.21379310344827587,
451
+ "acc_norm_stderr": 0.03416520447747549
452
+ },
453
+ "harness|hendrycksTest-elementary_mathematics|5": {
454
+ "acc": 0.2566137566137566,
455
+ "acc_stderr": 0.022494510767503154,
456
+ "acc_norm": 0.2566137566137566,
457
+ "acc_norm_stderr": 0.022494510767503154
458
+ },
459
+ "harness|hendrycksTest-formal_logic|5": {
460
+ "acc": 0.15079365079365079,
461
+ "acc_stderr": 0.03200686497287392,
462
+ "acc_norm": 0.15079365079365079,
463
+ "acc_norm_stderr": 0.03200686497287392
464
+ },
465
+ "harness|hendrycksTest-global_facts|5": {
466
+ "acc": 0.17,
467
+ "acc_stderr": 0.0377525168068637,
468
+ "acc_norm": 0.17,
469
+ "acc_norm_stderr": 0.0377525168068637
470
+ },
471
+ "harness|hendrycksTest-high_school_biology|5": {
472
+ "acc": 0.24193548387096775,
473
+ "acc_stderr": 0.024362599693031103,
474
+ "acc_norm": 0.24193548387096775,
475
+ "acc_norm_stderr": 0.024362599693031103
476
+ },
477
+ "harness|hendrycksTest-high_school_chemistry|5": {
478
+ "acc": 0.30049261083743845,
479
+ "acc_stderr": 0.03225799476233483,
480
+ "acc_norm": 0.30049261083743845,
481
+ "acc_norm_stderr": 0.03225799476233483
482
+ },
483
+ "harness|hendrycksTest-high_school_computer_science|5": {
484
+ "acc": 0.33,
485
+ "acc_stderr": 0.04725815626252605,
486
+ "acc_norm": 0.33,
487
+ "acc_norm_stderr": 0.04725815626252605
488
+ },
489
+ "harness|hendrycksTest-high_school_european_history|5": {
490
+ "acc": 0.22424242424242424,
491
+ "acc_stderr": 0.032568666616811015,
492
+ "acc_norm": 0.22424242424242424,
493
+ "acc_norm_stderr": 0.032568666616811015
494
+ },
495
+ "harness|hendrycksTest-high_school_geography|5": {
496
+ "acc": 0.17676767676767677,
497
+ "acc_stderr": 0.027178752639044915,
498
+ "acc_norm": 0.17676767676767677,
499
+ "acc_norm_stderr": 0.027178752639044915
500
+ },
501
+ "harness|hendrycksTest-high_school_government_and_politics|5": {
502
+ "acc": 0.22797927461139897,
503
+ "acc_stderr": 0.030276909945178253,
504
+ "acc_norm": 0.22797927461139897,
505
+ "acc_norm_stderr": 0.030276909945178253
506
+ },
507
+ "harness|hendrycksTest-high_school_macroeconomics|5": {
508
+ "acc": 0.2358974358974359,
509
+ "acc_stderr": 0.021525965407408726,
510
+ "acc_norm": 0.2358974358974359,
511
+ "acc_norm_stderr": 0.021525965407408726
512
+ },
513
+ "harness|hendrycksTest-high_school_mathematics|5": {
514
+ "acc": 0.26666666666666666,
515
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573
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579
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633
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699
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705
+ "harness|truthfulqa:mc|0": {
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710
+ }
711
+ }
712
+ ```
713
+
714
+ ### Supported Tasks and Leaderboards
715
+
716
+ [More Information Needed]
717
+
718
+ ### Languages
719
+
720
+ [More Information Needed]
721
+
722
+ ## Dataset Structure
723
+
724
+ ### Data Instances
725
+
726
+ [More Information Needed]
727
+
728
+ ### Data Fields
729
+
730
+ [More Information Needed]
731
+
732
+ ### Data Splits
733
+
734
+ [More Information Needed]
735
+
736
+ ## Dataset Creation
737
+
738
+ ### Curation Rationale
739
+
740
+ [More Information Needed]
741
+
742
+ ### Source Data
743
+
744
+ #### Initial Data Collection and Normalization
745
+
746
+ [More Information Needed]
747
+
748
+ #### Who are the source language producers?
749
+
750
+ [More Information Needed]
751
+
752
+ ### Annotations
753
+
754
+ #### Annotation process
755
+
756
+ [More Information Needed]
757
+
758
+ #### Who are the annotators?
759
+
760
+ [More Information Needed]
761
+
762
+ ### Personal and Sensitive Information
763
+
764
+ [More Information Needed]
765
+
766
+ ## Considerations for Using the Data
767
+
768
+ ### Social Impact of Dataset
769
+
770
+ [More Information Needed]
771
+
772
+ ### Discussion of Biases
773
+
774
+ [More Information Needed]
775
+
776
+ ### Other Known Limitations
777
+
778
+ [More Information Needed]
779
+
780
+ ## Additional Information
781
+
782
+ ### Dataset Curators
783
+
784
+ [More Information Needed]
785
+
786
+ ### Licensing Information
787
+
788
+ [More Information Needed]
789
+
790
+ ### Citation Information
791
+
792
+ [More Information Needed]
793
+
794
+ ### Contributions
795
+
796
+ [More Information Needed]