File size: 17,814 Bytes
b1c2261 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 |
{
"results": {
"harness|ko_arc_challenge|25": {
"acc": 0.4087030716723549,
"acc_stderr": 0.014365750345427006,
"acc_norm": 0.4564846416382253,
"acc_norm_stderr": 0.01455594976049644
},
"harness|ko_hellaswag|10": {
"acc": 0.43168691495717987,
"acc_stderr": 0.0049429906231311166,
"acc_norm": 0.5795658235411273,
"acc_norm_stderr": 0.0049261984839487115
},
"harness|ko_mmlu_world_religions|5": {
"acc": 0.5321637426900585,
"acc_stderr": 0.038268824176603704,
"acc_norm": 0.5321637426900585,
"acc_norm_stderr": 0.038268824176603704
},
"harness|ko_mmlu_management|5": {
"acc": 0.49514563106796117,
"acc_stderr": 0.049505043821289195,
"acc_norm": 0.49514563106796117,
"acc_norm_stderr": 0.049505043821289195
},
"harness|ko_mmlu_miscellaneous|5": {
"acc": 0.5555555555555556,
"acc_stderr": 0.017769250583533246,
"acc_norm": 0.5555555555555556,
"acc_norm_stderr": 0.017769250583533246
},
"harness|ko_mmlu_anatomy|5": {
"acc": 0.4074074074074074,
"acc_stderr": 0.0424463323835323,
"acc_norm": 0.4074074074074074,
"acc_norm_stderr": 0.0424463323835323
},
"harness|ko_mmlu_abstract_algebra|5": {
"acc": 0.27,
"acc_stderr": 0.04461960433384741,
"acc_norm": 0.27,
"acc_norm_stderr": 0.04461960433384741
},
"harness|ko_mmlu_conceptual_physics|5": {
"acc": 0.4,
"acc_stderr": 0.03202563076101735,
"acc_norm": 0.4,
"acc_norm_stderr": 0.03202563076101735
},
"harness|ko_mmlu_virology|5": {
"acc": 0.4457831325301205,
"acc_stderr": 0.038695433234721015,
"acc_norm": 0.4457831325301205,
"acc_norm_stderr": 0.038695433234721015
},
"harness|ko_mmlu_philosophy|5": {
"acc": 0.4855305466237942,
"acc_stderr": 0.028386198084177673,
"acc_norm": 0.4855305466237942,
"acc_norm_stderr": 0.028386198084177673
},
"harness|ko_mmlu_human_aging|5": {
"acc": 0.5022421524663677,
"acc_stderr": 0.033557465352232634,
"acc_norm": 0.5022421524663677,
"acc_norm_stderr": 0.033557465352232634
},
"harness|ko_mmlu_human_sexuality|5": {
"acc": 0.4732824427480916,
"acc_stderr": 0.04379024936553894,
"acc_norm": 0.4732824427480916,
"acc_norm_stderr": 0.04379024936553894
},
"harness|ko_mmlu_medical_genetics|5": {
"acc": 0.39,
"acc_stderr": 0.04902071300001975,
"acc_norm": 0.39,
"acc_norm_stderr": 0.04902071300001975
},
"harness|ko_mmlu_high_school_geography|5": {
"acc": 0.5909090909090909,
"acc_stderr": 0.035029757994130085,
"acc_norm": 0.5909090909090909,
"acc_norm_stderr": 0.035029757994130085
},
"harness|ko_mmlu_electrical_engineering|5": {
"acc": 0.3724137931034483,
"acc_stderr": 0.0402873153294756,
"acc_norm": 0.3724137931034483,
"acc_norm_stderr": 0.0402873153294756
},
"harness|ko_mmlu_college_physics|5": {
"acc": 0.22549019607843138,
"acc_stderr": 0.04158307533083286,
"acc_norm": 0.22549019607843138,
"acc_norm_stderr": 0.04158307533083286
},
"harness|ko_mmlu_high_school_microeconomics|5": {
"acc": 0.453781512605042,
"acc_stderr": 0.03233943468182088,
"acc_norm": 0.453781512605042,
"acc_norm_stderr": 0.03233943468182088
},
"harness|ko_mmlu_high_school_macroeconomics|5": {
"acc": 0.45897435897435895,
"acc_stderr": 0.025265525491284295,
"acc_norm": 0.45897435897435895,
"acc_norm_stderr": 0.025265525491284295
},
"harness|ko_mmlu_computer_security|5": {
"acc": 0.54,
"acc_stderr": 0.05009082659620332,
"acc_norm": 0.54,
"acc_norm_stderr": 0.05009082659620332
},
"harness|ko_mmlu_global_facts|5": {
"acc": 0.36,
"acc_stderr": 0.048241815132442176,
"acc_norm": 0.36,
"acc_norm_stderr": 0.048241815132442176
},
"harness|ko_mmlu_jurisprudence|5": {
"acc": 0.5462962962962963,
"acc_stderr": 0.048129173245368216,
"acc_norm": 0.5462962962962963,
"acc_norm_stderr": 0.048129173245368216
},
"harness|ko_mmlu_high_school_chemistry|5": {
"acc": 0.35467980295566504,
"acc_stderr": 0.03366124489051449,
"acc_norm": 0.35467980295566504,
"acc_norm_stderr": 0.03366124489051449
},
"harness|ko_mmlu_high_school_biology|5": {
"acc": 0.45806451612903226,
"acc_stderr": 0.028343787250540636,
"acc_norm": 0.45806451612903226,
"acc_norm_stderr": 0.028343787250540636
},
"harness|ko_mmlu_marketing|5": {
"acc": 0.6495726495726496,
"acc_stderr": 0.0312561082442188,
"acc_norm": 0.6495726495726496,
"acc_norm_stderr": 0.0312561082442188
},
"harness|ko_mmlu_clinical_knowledge|5": {
"acc": 0.4490566037735849,
"acc_stderr": 0.030612730713641092,
"acc_norm": 0.4490566037735849,
"acc_norm_stderr": 0.030612730713641092
},
"harness|ko_mmlu_public_relations|5": {
"acc": 0.6,
"acc_stderr": 0.0469237132203465,
"acc_norm": 0.6,
"acc_norm_stderr": 0.0469237132203465
},
"harness|ko_mmlu_high_school_mathematics|5": {
"acc": 0.2518518518518518,
"acc_stderr": 0.026466117538959916,
"acc_norm": 0.2518518518518518,
"acc_norm_stderr": 0.026466117538959916
},
"harness|ko_mmlu_high_school_physics|5": {
"acc": 0.31125827814569534,
"acc_stderr": 0.03780445850526733,
"acc_norm": 0.31125827814569534,
"acc_norm_stderr": 0.03780445850526733
},
"harness|ko_mmlu_sociology|5": {
"acc": 0.5671641791044776,
"acc_stderr": 0.03503490923673281,
"acc_norm": 0.5671641791044776,
"acc_norm_stderr": 0.03503490923673281
},
"harness|ko_mmlu_college_medicine|5": {
"acc": 0.4161849710982659,
"acc_stderr": 0.037585177754049466,
"acc_norm": 0.4161849710982659,
"acc_norm_stderr": 0.037585177754049466
},
"harness|ko_mmlu_elementary_mathematics|5": {
"acc": 0.30423280423280424,
"acc_stderr": 0.023695415009463087,
"acc_norm": 0.30423280423280424,
"acc_norm_stderr": 0.023695415009463087
},
"harness|ko_mmlu_college_biology|5": {
"acc": 0.3958333333333333,
"acc_stderr": 0.04089465449325583,
"acc_norm": 0.3958333333333333,
"acc_norm_stderr": 0.04089465449325583
},
"harness|ko_mmlu_college_chemistry|5": {
"acc": 0.31,
"acc_stderr": 0.04648231987117316,
"acc_norm": 0.31,
"acc_norm_stderr": 0.04648231987117316
},
"harness|ko_mmlu_us_foreign_policy|5": {
"acc": 0.64,
"acc_stderr": 0.048241815132442176,
"acc_norm": 0.64,
"acc_norm_stderr": 0.048241815132442176
},
"harness|ko_mmlu_moral_disputes|5": {
"acc": 0.49710982658959535,
"acc_stderr": 0.02691864538323901,
"acc_norm": 0.49710982658959535,
"acc_norm_stderr": 0.02691864538323901
},
"harness|ko_mmlu_logical_fallacies|5": {
"acc": 0.5766871165644172,
"acc_stderr": 0.03881891213334383,
"acc_norm": 0.5766871165644172,
"acc_norm_stderr": 0.03881891213334383
},
"harness|ko_mmlu_prehistory|5": {
"acc": 0.49691358024691357,
"acc_stderr": 0.027820214158594377,
"acc_norm": 0.49691358024691357,
"acc_norm_stderr": 0.027820214158594377
},
"harness|ko_mmlu_college_mathematics|5": {
"acc": 0.36,
"acc_stderr": 0.04824181513244218,
"acc_norm": 0.36,
"acc_norm_stderr": 0.04824181513244218
},
"harness|ko_mmlu_high_school_government_and_politics|5": {
"acc": 0.5440414507772021,
"acc_stderr": 0.03594413711272436,
"acc_norm": 0.5440414507772021,
"acc_norm_stderr": 0.03594413711272436
},
"harness|ko_mmlu_econometrics|5": {
"acc": 0.21052631578947367,
"acc_stderr": 0.03835153954399419,
"acc_norm": 0.21052631578947367,
"acc_norm_stderr": 0.03835153954399419
},
"harness|ko_mmlu_high_school_psychology|5": {
"acc": 0.5871559633027523,
"acc_stderr": 0.02110912813341391,
"acc_norm": 0.5871559633027523,
"acc_norm_stderr": 0.02110912813341391
},
"harness|ko_mmlu_formal_logic|5": {
"acc": 0.3333333333333333,
"acc_stderr": 0.04216370213557835,
"acc_norm": 0.3333333333333333,
"acc_norm_stderr": 0.04216370213557835
},
"harness|ko_mmlu_nutrition|5": {
"acc": 0.4215686274509804,
"acc_stderr": 0.02827549015679143,
"acc_norm": 0.4215686274509804,
"acc_norm_stderr": 0.02827549015679143
},
"harness|ko_mmlu_business_ethics|5": {
"acc": 0.47,
"acc_stderr": 0.05016135580465919,
"acc_norm": 0.47,
"acc_norm_stderr": 0.05016135580465919
},
"harness|ko_mmlu_international_law|5": {
"acc": 0.5950413223140496,
"acc_stderr": 0.04481137755942469,
"acc_norm": 0.5950413223140496,
"acc_norm_stderr": 0.04481137755942469
},
"harness|ko_mmlu_astronomy|5": {
"acc": 0.375,
"acc_stderr": 0.039397364351956274,
"acc_norm": 0.375,
"acc_norm_stderr": 0.039397364351956274
},
"harness|ko_mmlu_professional_psychology|5": {
"acc": 0.42810457516339867,
"acc_stderr": 0.0200176292142131,
"acc_norm": 0.42810457516339867,
"acc_norm_stderr": 0.0200176292142131
},
"harness|ko_mmlu_professional_accounting|5": {
"acc": 0.3404255319148936,
"acc_stderr": 0.028267657482650144,
"acc_norm": 0.3404255319148936,
"acc_norm_stderr": 0.028267657482650144
},
"harness|ko_mmlu_machine_learning|5": {
"acc": 0.2767857142857143,
"acc_stderr": 0.04246624336697625,
"acc_norm": 0.2767857142857143,
"acc_norm_stderr": 0.04246624336697625
},
"harness|ko_mmlu_high_school_statistics|5": {
"acc": 0.33796296296296297,
"acc_stderr": 0.03225941352631295,
"acc_norm": 0.33796296296296297,
"acc_norm_stderr": 0.03225941352631295
},
"harness|ko_mmlu_moral_scenarios|5": {
"acc": 0.2435754189944134,
"acc_stderr": 0.01435591196476786,
"acc_norm": 0.2435754189944134,
"acc_norm_stderr": 0.01435591196476786
},
"harness|ko_mmlu_college_computer_science|5": {
"acc": 0.38,
"acc_stderr": 0.048783173121456316,
"acc_norm": 0.38,
"acc_norm_stderr": 0.048783173121456316
},
"harness|ko_mmlu_high_school_computer_science|5": {
"acc": 0.39,
"acc_stderr": 0.04902071300001974,
"acc_norm": 0.39,
"acc_norm_stderr": 0.04902071300001974
},
"harness|ko_mmlu_professional_medicine|5": {
"acc": 0.38235294117647056,
"acc_stderr": 0.02952009569768775,
"acc_norm": 0.38235294117647056,
"acc_norm_stderr": 0.02952009569768775
},
"harness|ko_mmlu_security_studies|5": {
"acc": 0.5020408163265306,
"acc_stderr": 0.0320089533497105,
"acc_norm": 0.5020408163265306,
"acc_norm_stderr": 0.0320089533497105
},
"harness|ko_mmlu_high_school_world_history|5": {
"acc": 0.6751054852320675,
"acc_stderr": 0.030486039389105303,
"acc_norm": 0.6751054852320675,
"acc_norm_stderr": 0.030486039389105303
},
"harness|ko_mmlu_professional_law|5": {
"acc": 0.3741851368970013,
"acc_stderr": 0.012359335618172063,
"acc_norm": 0.3741851368970013,
"acc_norm_stderr": 0.012359335618172063
},
"harness|ko_mmlu_high_school_us_history|5": {
"acc": 0.5294117647058824,
"acc_stderr": 0.03503235296367993,
"acc_norm": 0.5294117647058824,
"acc_norm_stderr": 0.03503235296367993
},
"harness|ko_mmlu_high_school_european_history|5": {
"acc": 0.5575757575757576,
"acc_stderr": 0.03878372113711275,
"acc_norm": 0.5575757575757576,
"acc_norm_stderr": 0.03878372113711275
},
"harness|ko_truthfulqa_mc|0": {
"mc1": 0.3243574051407589,
"mc1_stderr": 0.01638797677964794,
"mc2": 0.4753344144954286,
"mc2_stderr": 0.015470233894001158
},
"harness|ko_commongen_v2|2": {
"acc": 0.500590318772137,
"acc_stderr": 0.01719034212344859,
"acc_norm": 0.5726092089728453,
"acc_norm_stderr": 0.017008129844823156
}
},
"versions": {
"all": 0,
"harness|ko_arc_challenge|25": 0,
"harness|ko_hellaswag|10": 0,
"harness|ko_mmlu_world_religions|5": 1,
"harness|ko_mmlu_management|5": 1,
"harness|ko_mmlu_miscellaneous|5": 1,
"harness|ko_mmlu_anatomy|5": 1,
"harness|ko_mmlu_abstract_algebra|5": 1,
"harness|ko_mmlu_conceptual_physics|5": 1,
"harness|ko_mmlu_virology|5": 1,
"harness|ko_mmlu_philosophy|5": 1,
"harness|ko_mmlu_human_aging|5": 1,
"harness|ko_mmlu_human_sexuality|5": 1,
"harness|ko_mmlu_medical_genetics|5": 1,
"harness|ko_mmlu_high_school_geography|5": 1,
"harness|ko_mmlu_electrical_engineering|5": 1,
"harness|ko_mmlu_college_physics|5": 1,
"harness|ko_mmlu_high_school_microeconomics|5": 1,
"harness|ko_mmlu_high_school_macroeconomics|5": 1,
"harness|ko_mmlu_computer_security|5": 1,
"harness|ko_mmlu_global_facts|5": 1,
"harness|ko_mmlu_jurisprudence|5": 1,
"harness|ko_mmlu_high_school_chemistry|5": 1,
"harness|ko_mmlu_high_school_biology|5": 1,
"harness|ko_mmlu_marketing|5": 1,
"harness|ko_mmlu_clinical_knowledge|5": 1,
"harness|ko_mmlu_public_relations|5": 1,
"harness|ko_mmlu_high_school_mathematics|5": 1,
"harness|ko_mmlu_high_school_physics|5": 1,
"harness|ko_mmlu_sociology|5": 1,
"harness|ko_mmlu_college_medicine|5": 1,
"harness|ko_mmlu_elementary_mathematics|5": 1,
"harness|ko_mmlu_college_biology|5": 1,
"harness|ko_mmlu_college_chemistry|5": 1,
"harness|ko_mmlu_us_foreign_policy|5": 1,
"harness|ko_mmlu_moral_disputes|5": 1,
"harness|ko_mmlu_logical_fallacies|5": 1,
"harness|ko_mmlu_prehistory|5": 1,
"harness|ko_mmlu_college_mathematics|5": 1,
"harness|ko_mmlu_high_school_government_and_politics|5": 1,
"harness|ko_mmlu_econometrics|5": 1,
"harness|ko_mmlu_high_school_psychology|5": 1,
"harness|ko_mmlu_formal_logic|5": 1,
"harness|ko_mmlu_nutrition|5": 1,
"harness|ko_mmlu_business_ethics|5": 1,
"harness|ko_mmlu_international_law|5": 1,
"harness|ko_mmlu_astronomy|5": 1,
"harness|ko_mmlu_professional_psychology|5": 1,
"harness|ko_mmlu_professional_accounting|5": 1,
"harness|ko_mmlu_machine_learning|5": 1,
"harness|ko_mmlu_high_school_statistics|5": 1,
"harness|ko_mmlu_moral_scenarios|5": 1,
"harness|ko_mmlu_college_computer_science|5": 1,
"harness|ko_mmlu_high_school_computer_science|5": 1,
"harness|ko_mmlu_professional_medicine|5": 1,
"harness|ko_mmlu_security_studies|5": 1,
"harness|ko_mmlu_high_school_world_history|5": 1,
"harness|ko_mmlu_professional_law|5": 1,
"harness|ko_mmlu_high_school_us_history|5": 1,
"harness|ko_mmlu_high_school_european_history|5": 1,
"harness|ko_truthfulqa_mc|0": 0,
"harness|ko_commongen_v2|2": 1
},
"config_general": {
"model_name": "42MARU/GenAI-llama2-ko-en-instruct-v4-13B",
"model_sha": "fabf605d23d96e548908ffe9f0ad49dae01c46f8",
"model_dtype": "torch.float16",
"lighteval_sha": "",
"num_few_shot_default": 0,
"num_fewshot_seeds": 1,
"override_batch_size": 1,
"max_samples": null
}
} |