File size: 17,794 Bytes
0bf72cb |
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": 0.3967576791808874,
"acc_stderr": 0.014296513020180646,
"acc_norm": 0.454778156996587,
"acc_norm_stderr": 0.014551507060836355
},
"harness|ko_hellaswag|10": {
"acc": 0.4164509061939853,
"acc_stderr": 0.004919626380645517,
"acc_norm": 0.5536745668193587,
"acc_norm_stderr": 0.004960947388535101
},
"harness|ko_mmlu_world_religions|5": {
"acc": 0.5380116959064327,
"acc_stderr": 0.038237270928823064,
"acc_norm": 0.5380116959064327,
"acc_norm_stderr": 0.038237270928823064
},
"harness|ko_mmlu_management|5": {
"acc": 0.6019417475728155,
"acc_stderr": 0.048467482539772386,
"acc_norm": 0.6019417475728155,
"acc_norm_stderr": 0.048467482539772386
},
"harness|ko_mmlu_miscellaneous|5": {
"acc": 0.5159642401021711,
"acc_stderr": 0.017870847506081738,
"acc_norm": 0.5159642401021711,
"acc_norm_stderr": 0.017870847506081738
},
"harness|ko_mmlu_anatomy|5": {
"acc": 0.42962962962962964,
"acc_stderr": 0.04276349494376599,
"acc_norm": 0.42962962962962964,
"acc_norm_stderr": 0.04276349494376599
},
"harness|ko_mmlu_abstract_algebra|5": {
"acc": 0.32,
"acc_stderr": 0.046882617226215034,
"acc_norm": 0.32,
"acc_norm_stderr": 0.046882617226215034
},
"harness|ko_mmlu_conceptual_physics|5": {
"acc": 0.37446808510638296,
"acc_stderr": 0.031639106653672915,
"acc_norm": 0.37446808510638296,
"acc_norm_stderr": 0.031639106653672915
},
"harness|ko_mmlu_virology|5": {
"acc": 0.45180722891566266,
"acc_stderr": 0.03874371556587953,
"acc_norm": 0.45180722891566266,
"acc_norm_stderr": 0.03874371556587953
},
"harness|ko_mmlu_philosophy|5": {
"acc": 0.5627009646302251,
"acc_stderr": 0.0281739177617629,
"acc_norm": 0.5627009646302251,
"acc_norm_stderr": 0.0281739177617629
},
"harness|ko_mmlu_human_aging|5": {
"acc": 0.3811659192825112,
"acc_stderr": 0.032596251184168284,
"acc_norm": 0.3811659192825112,
"acc_norm_stderr": 0.032596251184168284
},
"harness|ko_mmlu_human_sexuality|5": {
"acc": 0.46564885496183206,
"acc_stderr": 0.043749285605997376,
"acc_norm": 0.46564885496183206,
"acc_norm_stderr": 0.043749285605997376
},
"harness|ko_mmlu_medical_genetics|5": {
"acc": 0.42,
"acc_stderr": 0.049604496374885836,
"acc_norm": 0.42,
"acc_norm_stderr": 0.049604496374885836
},
"harness|ko_mmlu_high_school_geography|5": {
"acc": 0.5757575757575758,
"acc_stderr": 0.035212249088415866,
"acc_norm": 0.5757575757575758,
"acc_norm_stderr": 0.035212249088415866
},
"harness|ko_mmlu_electrical_engineering|5": {
"acc": 0.45517241379310347,
"acc_stderr": 0.04149886942192117,
"acc_norm": 0.45517241379310347,
"acc_norm_stderr": 0.04149886942192117
},
"harness|ko_mmlu_college_physics|5": {
"acc": 0.18627450980392157,
"acc_stderr": 0.038739587141493524,
"acc_norm": 0.18627450980392157,
"acc_norm_stderr": 0.038739587141493524
},
"harness|ko_mmlu_high_school_microeconomics|5": {
"acc": 0.4495798319327731,
"acc_stderr": 0.03231293497137707,
"acc_norm": 0.4495798319327731,
"acc_norm_stderr": 0.03231293497137707
},
"harness|ko_mmlu_high_school_macroeconomics|5": {
"acc": 0.4641025641025641,
"acc_stderr": 0.025285585990017834,
"acc_norm": 0.4641025641025641,
"acc_norm_stderr": 0.025285585990017834
},
"harness|ko_mmlu_computer_security|5": {
"acc": 0.46,
"acc_stderr": 0.05009082659620333,
"acc_norm": 0.46,
"acc_norm_stderr": 0.05009082659620333
},
"harness|ko_mmlu_global_facts|5": {
"acc": 0.35,
"acc_stderr": 0.04793724854411019,
"acc_norm": 0.35,
"acc_norm_stderr": 0.04793724854411019
},
"harness|ko_mmlu_jurisprudence|5": {
"acc": 0.5277777777777778,
"acc_stderr": 0.04826217294139894,
"acc_norm": 0.5277777777777778,
"acc_norm_stderr": 0.04826217294139894
},
"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": 0.5096774193548387,
"acc_stderr": 0.02843867799890955,
"acc_norm": 0.5096774193548387,
"acc_norm_stderr": 0.02843867799890955
},
"harness|ko_mmlu_marketing|5": {
"acc": 0.6837606837606838,
"acc_stderr": 0.030463656747340254,
"acc_norm": 0.6837606837606838,
"acc_norm_stderr": 0.030463656747340254
},
"harness|ko_mmlu_clinical_knowledge|5": {
"acc": 0.4641509433962264,
"acc_stderr": 0.030693675018458003,
"acc_norm": 0.4641509433962264,
"acc_norm_stderr": 0.030693675018458003
},
"harness|ko_mmlu_public_relations|5": {
"acc": 0.44545454545454544,
"acc_stderr": 0.047605488214603246,
"acc_norm": 0.44545454545454544,
"acc_norm_stderr": 0.047605488214603246
},
"harness|ko_mmlu_high_school_mathematics|5": {
"acc": 0.2777777777777778,
"acc_stderr": 0.02730914058823017,
"acc_norm": 0.2777777777777778,
"acc_norm_stderr": 0.02730914058823017
},
"harness|ko_mmlu_high_school_physics|5": {
"acc": 0.304635761589404,
"acc_stderr": 0.03757949922943343,
"acc_norm": 0.304635761589404,
"acc_norm_stderr": 0.03757949922943343
},
"harness|ko_mmlu_sociology|5": {
"acc": 0.5920398009950248,
"acc_stderr": 0.03475116365194092,
"acc_norm": 0.5920398009950248,
"acc_norm_stderr": 0.03475116365194092
},
"harness|ko_mmlu_college_medicine|5": {
"acc": 0.3988439306358382,
"acc_stderr": 0.03733626655383509,
"acc_norm": 0.3988439306358382,
"acc_norm_stderr": 0.03733626655383509
},
"harness|ko_mmlu_elementary_mathematics|5": {
"acc": 0.2857142857142857,
"acc_stderr": 0.02326651221373056,
"acc_norm": 0.2857142857142857,
"acc_norm_stderr": 0.02326651221373056
},
"harness|ko_mmlu_college_biology|5": {
"acc": 0.4027777777777778,
"acc_stderr": 0.04101405519842424,
"acc_norm": 0.4027777777777778,
"acc_norm_stderr": 0.04101405519842424
},
"harness|ko_mmlu_college_chemistry|5": {
"acc": 0.36,
"acc_stderr": 0.04824181513244218,
"acc_norm": 0.36,
"acc_norm_stderr": 0.04824181513244218
},
"harness|ko_mmlu_us_foreign_policy|5": {
"acc": 0.64,
"acc_stderr": 0.04824181513244218,
"acc_norm": 0.64,
"acc_norm_stderr": 0.04824181513244218
},
"harness|ko_mmlu_moral_disputes|5": {
"acc": 0.5028901734104047,
"acc_stderr": 0.02691864538323901,
"acc_norm": 0.5028901734104047,
"acc_norm_stderr": 0.02691864538323901
},
"harness|ko_mmlu_logical_fallacies|5": {
"acc": 0.4723926380368098,
"acc_stderr": 0.03922378290610991,
"acc_norm": 0.4723926380368098,
"acc_norm_stderr": 0.03922378290610991
},
"harness|ko_mmlu_prehistory|5": {
"acc": 0.4783950617283951,
"acc_stderr": 0.02779476010500874,
"acc_norm": 0.4783950617283951,
"acc_norm_stderr": 0.02779476010500874
},
"harness|ko_mmlu_college_mathematics|5": {
"acc": 0.28,
"acc_stderr": 0.045126085985421296,
"acc_norm": 0.28,
"acc_norm_stderr": 0.045126085985421296
},
"harness|ko_mmlu_high_school_government_and_politics|5": {
"acc": 0.538860103626943,
"acc_stderr": 0.035975244117345775,
"acc_norm": 0.538860103626943,
"acc_norm_stderr": 0.035975244117345775
},
"harness|ko_mmlu_econometrics|5": {
"acc": 0.2807017543859649,
"acc_stderr": 0.042270544512321984,
"acc_norm": 0.2807017543859649,
"acc_norm_stderr": 0.042270544512321984
},
"harness|ko_mmlu_high_school_psychology|5": {
"acc": 0.5229357798165137,
"acc_stderr": 0.0214147570581755,
"acc_norm": 0.5229357798165137,
"acc_norm_stderr": 0.0214147570581755
},
"harness|ko_mmlu_formal_logic|5": {
"acc": 0.3412698412698413,
"acc_stderr": 0.04240799327574925,
"acc_norm": 0.3412698412698413,
"acc_norm_stderr": 0.04240799327574925
},
"harness|ko_mmlu_nutrition|5": {
"acc": 0.477124183006536,
"acc_stderr": 0.028599936776089775,
"acc_norm": 0.477124183006536,
"acc_norm_stderr": 0.028599936776089775
},
"harness|ko_mmlu_business_ethics|5": {
"acc": 0.45,
"acc_stderr": 0.05,
"acc_norm": 0.45,
"acc_norm_stderr": 0.05
},
"harness|ko_mmlu_international_law|5": {
"acc": 0.6776859504132231,
"acc_stderr": 0.04266416363352167,
"acc_norm": 0.6776859504132231,
"acc_norm_stderr": 0.04266416363352167
},
"harness|ko_mmlu_astronomy|5": {
"acc": 0.46710526315789475,
"acc_stderr": 0.040601270352363966,
"acc_norm": 0.46710526315789475,
"acc_norm_stderr": 0.040601270352363966
},
"harness|ko_mmlu_professional_psychology|5": {
"acc": 0.3660130718954248,
"acc_stderr": 0.019488025745529672,
"acc_norm": 0.3660130718954248,
"acc_norm_stderr": 0.019488025745529672
},
"harness|ko_mmlu_professional_accounting|5": {
"acc": 0.35106382978723405,
"acc_stderr": 0.028473501272963775,
"acc_norm": 0.35106382978723405,
"acc_norm_stderr": 0.028473501272963775
},
"harness|ko_mmlu_machine_learning|5": {
"acc": 0.25,
"acc_stderr": 0.04109974682633932,
"acc_norm": 0.25,
"acc_norm_stderr": 0.04109974682633932
},
"harness|ko_mmlu_high_school_statistics|5": {
"acc": 0.375,
"acc_stderr": 0.033016908987210894,
"acc_norm": 0.375,
"acc_norm_stderr": 0.033016908987210894
},
"harness|ko_mmlu_moral_scenarios|5": {
"acc": 0.2547486033519553,
"acc_stderr": 0.014572650383409167,
"acc_norm": 0.2547486033519553,
"acc_norm_stderr": 0.014572650383409167
},
"harness|ko_mmlu_college_computer_science|5": {
"acc": 0.45,
"acc_stderr": 0.05,
"acc_norm": 0.45,
"acc_norm_stderr": 0.05
},
"harness|ko_mmlu_high_school_computer_science|5": {
"acc": 0.42,
"acc_stderr": 0.04960449637488584,
"acc_norm": 0.42,
"acc_norm_stderr": 0.04960449637488584
},
"harness|ko_mmlu_professional_medicine|5": {
"acc": 0.45955882352941174,
"acc_stderr": 0.03027332507734575,
"acc_norm": 0.45955882352941174,
"acc_norm_stderr": 0.03027332507734575
},
"harness|ko_mmlu_security_studies|5": {
"acc": 0.4897959183673469,
"acc_stderr": 0.03200255347893782,
"acc_norm": 0.4897959183673469,
"acc_norm_stderr": 0.03200255347893782
},
"harness|ko_mmlu_high_school_world_history|5": {
"acc": 0.6033755274261603,
"acc_stderr": 0.03184399873811225,
"acc_norm": 0.6033755274261603,
"acc_norm_stderr": 0.03184399873811225
},
"harness|ko_mmlu_professional_law|5": {
"acc": 0.3285528031290743,
"acc_stderr": 0.011996027247502912,
"acc_norm": 0.3285528031290743,
"acc_norm_stderr": 0.011996027247502912
},
"harness|ko_mmlu_high_school_us_history|5": {
"acc": 0.49019607843137253,
"acc_stderr": 0.035086373586305716,
"acc_norm": 0.49019607843137253,
"acc_norm_stderr": 0.035086373586305716
},
"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": 0.27906976744186046,
"mc1_stderr": 0.01570210709062789,
"mc2": 0.4486611820923937,
"mc2_stderr": 0.015416976946375454
},
"harness|ko_commongen_v2|2": {
"acc": 0.48406139315230223,
"acc_stderr": 0.017181617837190192,
"acc_norm": 0.5619834710743802,
"acc_norm_stderr": 0.01705775370216029
}
},
"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-v3-13b",
"model_sha": "199c2113f09f153bce1ad7aac35e6e756a99b89b",
"model_dtype": "torch.float16",
"lighteval_sha": "",
"num_few_shot_default": 0,
"num_fewshot_seeds": 1,
"override_batch_size": 1,
"max_samples": null
}
} |