Upload 6 files
Browse files- base-160m-eval-files/EleutherAI-pythia-160m-0shot-shelloutput.txt +430 -0
- base-160m-eval-files/EleutherAI-pythia-160m-0shot/results.json +406 -0
- base-160m-eval-files/EleutherAI-pythia-160m-5shot-shelloutput.txt +430 -0
- base-160m-eval-files/EleutherAI-pythia-160m-5shot/results.json +406 -0
- dpo-160m-eval-files/dpo-pythia-160m-0shot/results.json +406 -0
- dpo-160m-eval-files/dpo-pythia-160m-5shot/results.json +406 -0
base-160m-eval-files/EleutherAI-pythia-160m-0shot-shelloutput.txt
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|
| 1 |
+
bootstrapping for stddev: perplexity
|
| 2 |
+
{
|
| 3 |
+
"results": {
|
| 4 |
+
"arc_challenge": {
|
| 5 |
+
"acc,none": 0.1945392491467577,
|
| 6 |
+
"acc_stderr,none": 0.011567709174648728,
|
| 7 |
+
"acc_norm,none": 0.2363481228668942,
|
| 8 |
+
"acc_norm_stderr,none": 0.012414960524301837
|
| 9 |
+
},
|
| 10 |
+
"arc_easy": {
|
| 11 |
+
"acc,none": 0.4364478114478115,
|
| 12 |
+
"acc_stderr,none": 0.010176569980111043,
|
| 13 |
+
"acc_norm,none": 0.39646464646464646,
|
| 14 |
+
"acc_norm_stderr,none": 0.010037412763064529
|
| 15 |
+
},
|
| 16 |
+
"boolq": {
|
| 17 |
+
"acc,none": 0.5691131498470948,
|
| 18 |
+
"acc_stderr,none": 0.008661108320775383
|
| 19 |
+
},
|
| 20 |
+
"hellaswag": {
|
| 21 |
+
"acc,none": 0.28380800637323245,
|
| 22 |
+
"acc_stderr,none": 0.004499233874427503,
|
| 23 |
+
"acc_norm,none": 0.3027285401314479,
|
| 24 |
+
"acc_norm_stderr,none": 0.004584997935360479
|
| 25 |
+
},
|
| 26 |
+
"lambada_openai": {
|
| 27 |
+
"perplexity,none": 37.255307146908386,
|
| 28 |
+
"perplexity_stderr,none": 1.399816741635691,
|
| 29 |
+
"acc,none": 0.3537745002910926,
|
| 30 |
+
"acc_stderr,none": 0.006661428663512768
|
| 31 |
+
},
|
| 32 |
+
"openbookqa": {
|
| 33 |
+
"acc,none": 0.15,
|
| 34 |
+
"acc_stderr,none": 0.015984712135164926,
|
| 35 |
+
"acc_norm,none": 0.268,
|
| 36 |
+
"acc_norm_stderr,none": 0.019827714859587578
|
| 37 |
+
},
|
| 38 |
+
"piqa": {
|
| 39 |
+
"acc,none": 0.6229597388465724,
|
| 40 |
+
"acc_stderr,none": 0.011307569752543899,
|
| 41 |
+
"acc_norm,none": 0.6196953210010882,
|
| 42 |
+
"acc_norm_stderr,none": 0.011326620892570319
|
| 43 |
+
},
|
| 44 |
+
"sciq": {
|
| 45 |
+
"acc,none": 0.754,
|
| 46 |
+
"acc_stderr,none": 0.013626065817750629,
|
| 47 |
+
"acc_norm,none": 0.677,
|
| 48 |
+
"acc_norm_stderr,none": 0.014794927843348628
|
| 49 |
+
},
|
| 50 |
+
"wikitext": {
|
| 51 |
+
"word_perplexity,none": 62.20996521798232,
|
| 52 |
+
"byte_perplexity,none": 1.975726163529806,
|
| 53 |
+
"bits_per_byte,none": 0.9823830026441426
|
| 54 |
+
},
|
| 55 |
+
"winogrande": {
|
| 56 |
+
"acc,none": 0.5130228887134964,
|
| 57 |
+
"acc_stderr,none": 0.01404771839399767
|
| 58 |
+
}
|
| 59 |
+
},
|
| 60 |
+
"configs": {
|
| 61 |
+
"arc_challenge": {
|
| 62 |
+
"task": "arc_challenge",
|
| 63 |
+
"group": [
|
| 64 |
+
"ai2_arc",
|
| 65 |
+
"multiple_choice"
|
| 66 |
+
],
|
| 67 |
+
"dataset_path": "ai2_arc",
|
| 68 |
+
"dataset_name": "ARC-Challenge",
|
| 69 |
+
"training_split": "train",
|
| 70 |
+
"validation_split": "validation",
|
| 71 |
+
"test_split": "test",
|
| 72 |
+
"doc_to_text": "Question: {{question}}\nAnswer:",
|
| 73 |
+
"doc_to_target": "{{choices.label.index(answerKey)}}",
|
| 74 |
+
"doc_to_choice": "{{choices.text}}",
|
| 75 |
+
"description": "",
|
| 76 |
+
"target_delimiter": " ",
|
| 77 |
+
"fewshot_delimiter": "\n\n",
|
| 78 |
+
"num_fewshot": 0,
|
| 79 |
+
"metric_list": [
|
| 80 |
+
{
|
| 81 |
+
"metric": "acc",
|
| 82 |
+
"aggregation": "mean",
|
| 83 |
+
"higher_is_better": true
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"metric": "acc_norm",
|
| 87 |
+
"aggregation": "mean",
|
| 88 |
+
"higher_is_better": true
|
| 89 |
+
}
|
| 90 |
+
],
|
| 91 |
+
"output_type": "multiple_choice",
|
| 92 |
+
"repeats": 1,
|
| 93 |
+
"should_decontaminate": true,
|
| 94 |
+
"doc_to_decontamination_query": "Question: {{question}}\nAnswer:"
|
| 95 |
+
},
|
| 96 |
+
"arc_easy": {
|
| 97 |
+
"task": "arc_easy",
|
| 98 |
+
"group": [
|
| 99 |
+
"ai2_arc",
|
| 100 |
+
"multiple_choice"
|
| 101 |
+
],
|
| 102 |
+
"dataset_path": "ai2_arc",
|
| 103 |
+
"dataset_name": "ARC-Easy",
|
| 104 |
+
"training_split": "train",
|
| 105 |
+
"validation_split": "validation",
|
| 106 |
+
"test_split": "test",
|
| 107 |
+
"doc_to_text": "Question: {{question}}\nAnswer:",
|
| 108 |
+
"doc_to_target": "{{choices.label.index(answerKey)}}",
|
| 109 |
+
"doc_to_choice": "{{choices.text}}",
|
| 110 |
+
"description": "",
|
| 111 |
+
"target_delimiter": " ",
|
| 112 |
+
"fewshot_delimiter": "\n\n",
|
| 113 |
+
"num_fewshot": 0,
|
| 114 |
+
"metric_list": [
|
| 115 |
+
{
|
| 116 |
+
"metric": "acc",
|
| 117 |
+
"aggregation": "mean",
|
| 118 |
+
"higher_is_better": true
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"metric": "acc_norm",
|
| 122 |
+
"aggregation": "mean",
|
| 123 |
+
"higher_is_better": true
|
| 124 |
+
}
|
| 125 |
+
],
|
| 126 |
+
"output_type": "multiple_choice",
|
| 127 |
+
"repeats": 1,
|
| 128 |
+
"should_decontaminate": true,
|
| 129 |
+
"doc_to_decontamination_query": "Question: {{question}}\nAnswer:"
|
| 130 |
+
},
|
| 131 |
+
"boolq": {
|
| 132 |
+
"task": "boolq",
|
| 133 |
+
"group": [
|
| 134 |
+
"super-glue-lm-eval-v1"
|
| 135 |
+
],
|
| 136 |
+
"dataset_path": "super_glue",
|
| 137 |
+
"dataset_name": "boolq",
|
| 138 |
+
"training_split": "train",
|
| 139 |
+
"validation_split": "validation",
|
| 140 |
+
"doc_to_text": "{{passage}}\nQuestion: {{question}}?\nAnswer:",
|
| 141 |
+
"doc_to_target": "label",
|
| 142 |
+
"doc_to_choice": [
|
| 143 |
+
"no",
|
| 144 |
+
"yes"
|
| 145 |
+
],
|
| 146 |
+
"description": "",
|
| 147 |
+
"target_delimiter": " ",
|
| 148 |
+
"fewshot_delimiter": "\n\n",
|
| 149 |
+
"num_fewshot": 0,
|
| 150 |
+
"metric_list": [
|
| 151 |
+
{
|
| 152 |
+
"metric": "acc"
|
| 153 |
+
}
|
| 154 |
+
],
|
| 155 |
+
"output_type": "multiple_choice",
|
| 156 |
+
"repeats": 1,
|
| 157 |
+
"should_decontaminate": true,
|
| 158 |
+
"doc_to_decontamination_query": "passage"
|
| 159 |
+
},
|
| 160 |
+
"hellaswag": {
|
| 161 |
+
"task": "hellaswag",
|
| 162 |
+
"group": [
|
| 163 |
+
"multiple_choice"
|
| 164 |
+
],
|
| 165 |
+
"dataset_path": "hellaswag",
|
| 166 |
+
"training_split": "train",
|
| 167 |
+
"validation_split": "validation",
|
| 168 |
+
"doc_to_text": "{% set text = activity_label ~ ': ' ~ ctx_a ~ ' ' ~ ctx_b.capitalize() %}{{text|trim|replace(' [title]', '. ')|regex_replace('\\[.*?\\]', '')|replace(' ', ' ')}}",
|
| 169 |
+
"doc_to_target": "{{label}}",
|
| 170 |
+
"doc_to_choice": "{{endings|map('trim')|map('replace', ' [title]', '. ')|map('regex_replace', '\\[.*?\\]', '')|map('replace', ' ', ' ')|list}}",
|
| 171 |
+
"description": "",
|
| 172 |
+
"target_delimiter": " ",
|
| 173 |
+
"fewshot_delimiter": "\n\n",
|
| 174 |
+
"num_fewshot": 0,
|
| 175 |
+
"metric_list": [
|
| 176 |
+
{
|
| 177 |
+
"metric": "acc",
|
| 178 |
+
"aggregation": "mean",
|
| 179 |
+
"higher_is_better": true
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"metric": "acc_norm",
|
| 183 |
+
"aggregation": "mean",
|
| 184 |
+
"higher_is_better": true
|
| 185 |
+
}
|
| 186 |
+
],
|
| 187 |
+
"output_type": "multiple_choice",
|
| 188 |
+
"repeats": 1,
|
| 189 |
+
"should_decontaminate": false
|
| 190 |
+
},
|
| 191 |
+
"lambada_openai": {
|
| 192 |
+
"task": "lambada_openai",
|
| 193 |
+
"group": [
|
| 194 |
+
"lambada",
|
| 195 |
+
"loglikelihood",
|
| 196 |
+
"perplexity"
|
| 197 |
+
],
|
| 198 |
+
"dataset_path": "EleutherAI/lambada_openai",
|
| 199 |
+
"dataset_name": "default",
|
| 200 |
+
"test_split": "test",
|
| 201 |
+
"template_aliases": "",
|
| 202 |
+
"doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}",
|
| 203 |
+
"doc_to_target": "{{' '+text.split(' ')[-1]}}",
|
| 204 |
+
"description": "",
|
| 205 |
+
"target_delimiter": " ",
|
| 206 |
+
"fewshot_delimiter": "\n\n",
|
| 207 |
+
"num_fewshot": 0,
|
| 208 |
+
"metric_list": [
|
| 209 |
+
{
|
| 210 |
+
"metric": "perplexity",
|
| 211 |
+
"aggregation": "perplexity",
|
| 212 |
+
"higher_is_better": false
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"metric": "acc",
|
| 216 |
+
"aggregation": "mean",
|
| 217 |
+
"higher_is_better": true
|
| 218 |
+
}
|
| 219 |
+
],
|
| 220 |
+
"output_type": "loglikelihood",
|
| 221 |
+
"repeats": 1,
|
| 222 |
+
"should_decontaminate": true,
|
| 223 |
+
"doc_to_decontamination_query": "{{text}}"
|
| 224 |
+
},
|
| 225 |
+
"openbookqa": {
|
| 226 |
+
"task": "openbookqa",
|
| 227 |
+
"group": [
|
| 228 |
+
"multiple_choice"
|
| 229 |
+
],
|
| 230 |
+
"dataset_path": "openbookqa",
|
| 231 |
+
"dataset_name": "main",
|
| 232 |
+
"training_split": "train",
|
| 233 |
+
"validation_split": "validation",
|
| 234 |
+
"test_split": "test",
|
| 235 |
+
"doc_to_text": "question_stem",
|
| 236 |
+
"doc_to_target": "{{choices.label.index(answerKey.lstrip())}}",
|
| 237 |
+
"doc_to_choice": "{{choices.text}}",
|
| 238 |
+
"description": "",
|
| 239 |
+
"target_delimiter": " ",
|
| 240 |
+
"fewshot_delimiter": "\n\n",
|
| 241 |
+
"num_fewshot": 0,
|
| 242 |
+
"metric_list": [
|
| 243 |
+
{
|
| 244 |
+
"metric": "acc",
|
| 245 |
+
"aggregation": "mean",
|
| 246 |
+
"higher_is_better": true
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"metric": "acc_norm",
|
| 250 |
+
"aggregation": "mean",
|
| 251 |
+
"higher_is_better": true
|
| 252 |
+
}
|
| 253 |
+
],
|
| 254 |
+
"output_type": "multiple_choice",
|
| 255 |
+
"repeats": 1,
|
| 256 |
+
"should_decontaminate": true,
|
| 257 |
+
"doc_to_decontamination_query": "question_stem"
|
| 258 |
+
},
|
| 259 |
+
"piqa": {
|
| 260 |
+
"task": "piqa",
|
| 261 |
+
"group": [
|
| 262 |
+
"multiple_choice"
|
| 263 |
+
],
|
| 264 |
+
"dataset_path": "piqa",
|
| 265 |
+
"training_split": "train",
|
| 266 |
+
"validation_split": "validation",
|
| 267 |
+
"doc_to_text": "Question: {{goal}}\nAnswer:",
|
| 268 |
+
"doc_to_target": "label",
|
| 269 |
+
"doc_to_choice": "{{[sol1, sol2]}}",
|
| 270 |
+
"description": "",
|
| 271 |
+
"target_delimiter": " ",
|
| 272 |
+
"fewshot_delimiter": "\n\n",
|
| 273 |
+
"num_fewshot": 0,
|
| 274 |
+
"metric_list": [
|
| 275 |
+
{
|
| 276 |
+
"metric": "acc",
|
| 277 |
+
"aggregation": "mean",
|
| 278 |
+
"higher_is_better": true
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"metric": "acc_norm",
|
| 282 |
+
"aggregation": "mean",
|
| 283 |
+
"higher_is_better": true
|
| 284 |
+
}
|
| 285 |
+
],
|
| 286 |
+
"output_type": "multiple_choice",
|
| 287 |
+
"repeats": 1,
|
| 288 |
+
"should_decontaminate": true,
|
| 289 |
+
"doc_to_decontamination_query": "goal"
|
| 290 |
+
},
|
| 291 |
+
"sciq": {
|
| 292 |
+
"task": "sciq",
|
| 293 |
+
"group": [
|
| 294 |
+
"multiple_choice"
|
| 295 |
+
],
|
| 296 |
+
"dataset_path": "sciq",
|
| 297 |
+
"training_split": "train",
|
| 298 |
+
"validation_split": "validation",
|
| 299 |
+
"test_split": "test",
|
| 300 |
+
"doc_to_text": "{{support.lstrip()}}\nQuestion: {{question}}\nAnswer:",
|
| 301 |
+
"doc_to_target": 3,
|
| 302 |
+
"doc_to_choice": "{{[distractor1, distractor2, distractor3, correct_answer]}}",
|
| 303 |
+
"description": "",
|
| 304 |
+
"target_delimiter": " ",
|
| 305 |
+
"fewshot_delimiter": "\n\n",
|
| 306 |
+
"num_fewshot": 0,
|
| 307 |
+
"metric_list": [
|
| 308 |
+
{
|
| 309 |
+
"metric": "acc",
|
| 310 |
+
"aggregation": "mean",
|
| 311 |
+
"higher_is_better": true
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"metric": "acc_norm",
|
| 315 |
+
"aggregation": "mean",
|
| 316 |
+
"higher_is_better": true
|
| 317 |
+
}
|
| 318 |
+
],
|
| 319 |
+
"output_type": "multiple_choice",
|
| 320 |
+
"repeats": 1,
|
| 321 |
+
"should_decontaminate": true,
|
| 322 |
+
"doc_to_decontamination_query": "{{support}} {{question}}"
|
| 323 |
+
},
|
| 324 |
+
"wikitext": {
|
| 325 |
+
"task": "wikitext",
|
| 326 |
+
"group": [
|
| 327 |
+
"perplexity",
|
| 328 |
+
"loglikelihood_rolling"
|
| 329 |
+
],
|
| 330 |
+
"dataset_path": "EleutherAI/wikitext_document_level",
|
| 331 |
+
"dataset_name": "wikitext-2-raw-v1",
|
| 332 |
+
"training_split": "train",
|
| 333 |
+
"validation_split": "validation",
|
| 334 |
+
"test_split": "test",
|
| 335 |
+
"template_aliases": "",
|
| 336 |
+
"doc_to_text": "",
|
| 337 |
+
"doc_to_target": "<function wikitext_detokenizer at 0x7f110a2a0040>",
|
| 338 |
+
"description": "",
|
| 339 |
+
"target_delimiter": " ",
|
| 340 |
+
"fewshot_delimiter": "\n\n",
|
| 341 |
+
"num_fewshot": 0,
|
| 342 |
+
"metric_list": [
|
| 343 |
+
{
|
| 344 |
+
"metric": "word_perplexity"
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"metric": "byte_perplexity"
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"metric": "bits_per_byte"
|
| 351 |
+
}
|
| 352 |
+
],
|
| 353 |
+
"output_type": "loglikelihood_rolling",
|
| 354 |
+
"repeats": 1,
|
| 355 |
+
"should_decontaminate": true,
|
| 356 |
+
"doc_to_decontamination_query": "{{page}}"
|
| 357 |
+
},
|
| 358 |
+
"winogrande": {
|
| 359 |
+
"task": "winogrande",
|
| 360 |
+
"dataset_path": "winogrande",
|
| 361 |
+
"dataset_name": "winogrande_xl",
|
| 362 |
+
"training_split": "train",
|
| 363 |
+
"validation_split": "validation",
|
| 364 |
+
"doc_to_text": "<function doc_to_text at 0x7f110a272ef0>",
|
| 365 |
+
"doc_to_target": "<function doc_to_target at 0x7f110a273370>",
|
| 366 |
+
"doc_to_choice": "<function doc_to_choice at 0x7f110a2735b0>",
|
| 367 |
+
"description": "",
|
| 368 |
+
"target_delimiter": " ",
|
| 369 |
+
"fewshot_delimiter": "\n\n",
|
| 370 |
+
"num_fewshot": 0,
|
| 371 |
+
"metric_list": [
|
| 372 |
+
{
|
| 373 |
+
"metric": "acc",
|
| 374 |
+
"aggregation": "mean",
|
| 375 |
+
"higher_is_better": true
|
| 376 |
+
}
|
| 377 |
+
],
|
| 378 |
+
"output_type": "multiple_choice",
|
| 379 |
+
"repeats": 1,
|
| 380 |
+
"should_decontaminate": false
|
| 381 |
+
}
|
| 382 |
+
},
|
| 383 |
+
"versions": {
|
| 384 |
+
"arc_challenge": "Yaml",
|
| 385 |
+
"arc_easy": "Yaml",
|
| 386 |
+
"boolq": "Yaml",
|
| 387 |
+
"hellaswag": "Yaml",
|
| 388 |
+
"lambada_openai": "Yaml",
|
| 389 |
+
"openbookqa": "Yaml",
|
| 390 |
+
"piqa": "Yaml",
|
| 391 |
+
"sciq": "Yaml",
|
| 392 |
+
"wikitext": "Yaml",
|
| 393 |
+
"winogrande": "Yaml"
|
| 394 |
+
},
|
| 395 |
+
"config": {
|
| 396 |
+
"model": "hf",
|
| 397 |
+
"model_args": "pretrained=EleutherAI/pythia-160m",
|
| 398 |
+
"num_fewshot": 0,
|
| 399 |
+
"batch_size": 16,
|
| 400 |
+
"batch_sizes": [],
|
| 401 |
+
"device": "cuda:0",
|
| 402 |
+
"use_cache": null,
|
| 403 |
+
"limit": null,
|
| 404 |
+
"bootstrap_iters": 100000
|
| 405 |
+
},
|
| 406 |
+
"git_hash": "4e44f0a"
|
| 407 |
+
}
|
| 408 |
+
hf (pretrained=EleutherAI/pythia-160m), limit: None, num_fewshot: 0, batch_size: 16
|
| 409 |
+
| Task |Version|Filter| Metric | Value | |Stderr|
|
| 410 |
+
|--------------|-------|------|---------------|------:|---|-----:|
|
| 411 |
+
|arc_challenge |Yaml |none |acc | 0.1945|± |0.0116|
|
| 412 |
+
| | |none |acc_norm | 0.2363|± |0.0124|
|
| 413 |
+
|arc_easy |Yaml |none |acc | 0.4364|± |0.0102|
|
| 414 |
+
| | |none |acc_norm | 0.3965|± |0.0100|
|
| 415 |
+
|boolq |Yaml |none |acc | 0.5691|± |0.0087|
|
| 416 |
+
|hellaswag |Yaml |none |acc | 0.2838|± |0.0045|
|
| 417 |
+
| | |none |acc_norm | 0.3027|± |0.0046|
|
| 418 |
+
|lambada_openai|Yaml |none |perplexity |37.2553|± |1.3998|
|
| 419 |
+
| | |none |acc | 0.3538|± |0.0067|
|
| 420 |
+
|openbookqa |Yaml |none |acc | 0.1500|± |0.0160|
|
| 421 |
+
| | |none |acc_norm | 0.2680|± |0.0198|
|
| 422 |
+
|piqa |Yaml |none |acc | 0.6230|± |0.0113|
|
| 423 |
+
| | |none |acc_norm | 0.6197|± |0.0113|
|
| 424 |
+
|sciq |Yaml |none |acc | 0.7540|± |0.0136|
|
| 425 |
+
| | |none |acc_norm | 0.6770|± |0.0148|
|
| 426 |
+
|wikitext |Yaml |none |word_perplexity|62.2100| | |
|
| 427 |
+
| | |none |byte_perplexity| 1.9757| | |
|
| 428 |
+
| | |none |bits_per_byte | 0.9824| | |
|
| 429 |
+
|winogrande |Yaml |none |acc | 0.5130|± |0.0140|
|
| 430 |
+
|
base-160m-eval-files/EleutherAI-pythia-160m-0shot/results.json
ADDED
|
@@ -0,0 +1,406 @@
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|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"arc_challenge": {
|
| 4 |
+
"acc,none": 0.1945392491467577,
|
| 5 |
+
"acc_stderr,none": 0.011567709174648728,
|
| 6 |
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"acc_norm,none": 0.2363481228668942,
|
| 7 |
+
"acc_norm_stderr,none": 0.012414960524301837
|
| 8 |
+
},
|
| 9 |
+
"arc_easy": {
|
| 10 |
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"acc,none": 0.4364478114478115,
|
| 11 |
+
"acc_stderr,none": 0.010176569980111043,
|
| 12 |
+
"acc_norm,none": 0.39646464646464646,
|
| 13 |
+
"acc_norm_stderr,none": 0.010037412763064529
|
| 14 |
+
},
|
| 15 |
+
"boolq": {
|
| 16 |
+
"acc,none": 0.5691131498470948,
|
| 17 |
+
"acc_stderr,none": 0.008661108320775383
|
| 18 |
+
},
|
| 19 |
+
"hellaswag": {
|
| 20 |
+
"acc,none": 0.28380800637323245,
|
| 21 |
+
"acc_stderr,none": 0.004499233874427503,
|
| 22 |
+
"acc_norm,none": 0.3027285401314479,
|
| 23 |
+
"acc_norm_stderr,none": 0.004584997935360479
|
| 24 |
+
},
|
| 25 |
+
"lambada_openai": {
|
| 26 |
+
"perplexity,none": 37.255307146908386,
|
| 27 |
+
"perplexity_stderr,none": 1.399816741635691,
|
| 28 |
+
"acc,none": 0.3537745002910926,
|
| 29 |
+
"acc_stderr,none": 0.006661428663512768
|
| 30 |
+
},
|
| 31 |
+
"openbookqa": {
|
| 32 |
+
"acc,none": 0.15,
|
| 33 |
+
"acc_stderr,none": 0.015984712135164926,
|
| 34 |
+
"acc_norm,none": 0.268,
|
| 35 |
+
"acc_norm_stderr,none": 0.019827714859587578
|
| 36 |
+
},
|
| 37 |
+
"piqa": {
|
| 38 |
+
"acc,none": 0.6229597388465724,
|
| 39 |
+
"acc_stderr,none": 0.011307569752543899,
|
| 40 |
+
"acc_norm,none": 0.6196953210010882,
|
| 41 |
+
"acc_norm_stderr,none": 0.011326620892570319
|
| 42 |
+
},
|
| 43 |
+
"sciq": {
|
| 44 |
+
"acc,none": 0.754,
|
| 45 |
+
"acc_stderr,none": 0.013626065817750629,
|
| 46 |
+
"acc_norm,none": 0.677,
|
| 47 |
+
"acc_norm_stderr,none": 0.014794927843348628
|
| 48 |
+
},
|
| 49 |
+
"wikitext": {
|
| 50 |
+
"word_perplexity,none": 62.20996521798232,
|
| 51 |
+
"byte_perplexity,none": 1.975726163529806,
|
| 52 |
+
"bits_per_byte,none": 0.9823830026441426
|
| 53 |
+
},
|
| 54 |
+
"winogrande": {
|
| 55 |
+
"acc,none": 0.5130228887134964,
|
| 56 |
+
"acc_stderr,none": 0.01404771839399767
|
| 57 |
+
}
|
| 58 |
+
},
|
| 59 |
+
"configs": {
|
| 60 |
+
"arc_challenge": {
|
| 61 |
+
"task": "arc_challenge",
|
| 62 |
+
"group": [
|
| 63 |
+
"ai2_arc",
|
| 64 |
+
"multiple_choice"
|
| 65 |
+
],
|
| 66 |
+
"dataset_path": "ai2_arc",
|
| 67 |
+
"dataset_name": "ARC-Challenge",
|
| 68 |
+
"training_split": "train",
|
| 69 |
+
"validation_split": "validation",
|
| 70 |
+
"test_split": "test",
|
| 71 |
+
"doc_to_text": "Question: {{question}}\nAnswer:",
|
| 72 |
+
"doc_to_target": "{{choices.label.index(answerKey)}}",
|
| 73 |
+
"doc_to_choice": "{{choices.text}}",
|
| 74 |
+
"description": "",
|
| 75 |
+
"target_delimiter": " ",
|
| 76 |
+
"fewshot_delimiter": "\n\n",
|
| 77 |
+
"num_fewshot": 0,
|
| 78 |
+
"metric_list": [
|
| 79 |
+
{
|
| 80 |
+
"metric": "acc",
|
| 81 |
+
"aggregation": "mean",
|
| 82 |
+
"higher_is_better": true
|
| 83 |
+
},
|
| 84 |
+
{
|
| 85 |
+
"metric": "acc_norm",
|
| 86 |
+
"aggregation": "mean",
|
| 87 |
+
"higher_is_better": true
|
| 88 |
+
}
|
| 89 |
+
],
|
| 90 |
+
"output_type": "multiple_choice",
|
| 91 |
+
"repeats": 1,
|
| 92 |
+
"should_decontaminate": true,
|
| 93 |
+
"doc_to_decontamination_query": "Question: {{question}}\nAnswer:"
|
| 94 |
+
},
|
| 95 |
+
"arc_easy": {
|
| 96 |
+
"task": "arc_easy",
|
| 97 |
+
"group": [
|
| 98 |
+
"ai2_arc",
|
| 99 |
+
"multiple_choice"
|
| 100 |
+
],
|
| 101 |
+
"dataset_path": "ai2_arc",
|
| 102 |
+
"dataset_name": "ARC-Easy",
|
| 103 |
+
"training_split": "train",
|
| 104 |
+
"validation_split": "validation",
|
| 105 |
+
"test_split": "test",
|
| 106 |
+
"doc_to_text": "Question: {{question}}\nAnswer:",
|
| 107 |
+
"doc_to_target": "{{choices.label.index(answerKey)}}",
|
| 108 |
+
"doc_to_choice": "{{choices.text}}",
|
| 109 |
+
"description": "",
|
| 110 |
+
"target_delimiter": " ",
|
| 111 |
+
"fewshot_delimiter": "\n\n",
|
| 112 |
+
"num_fewshot": 0,
|
| 113 |
+
"metric_list": [
|
| 114 |
+
{
|
| 115 |
+
"metric": "acc",
|
| 116 |
+
"aggregation": "mean",
|
| 117 |
+
"higher_is_better": true
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"metric": "acc_norm",
|
| 121 |
+
"aggregation": "mean",
|
| 122 |
+
"higher_is_better": true
|
| 123 |
+
}
|
| 124 |
+
],
|
| 125 |
+
"output_type": "multiple_choice",
|
| 126 |
+
"repeats": 1,
|
| 127 |
+
"should_decontaminate": true,
|
| 128 |
+
"doc_to_decontamination_query": "Question: {{question}}\nAnswer:"
|
| 129 |
+
},
|
| 130 |
+
"boolq": {
|
| 131 |
+
"task": "boolq",
|
| 132 |
+
"group": [
|
| 133 |
+
"super-glue-lm-eval-v1"
|
| 134 |
+
],
|
| 135 |
+
"dataset_path": "super_glue",
|
| 136 |
+
"dataset_name": "boolq",
|
| 137 |
+
"training_split": "train",
|
| 138 |
+
"validation_split": "validation",
|
| 139 |
+
"doc_to_text": "{{passage}}\nQuestion: {{question}}?\nAnswer:",
|
| 140 |
+
"doc_to_target": "label",
|
| 141 |
+
"doc_to_choice": [
|
| 142 |
+
"no",
|
| 143 |
+
"yes"
|
| 144 |
+
],
|
| 145 |
+
"description": "",
|
| 146 |
+
"target_delimiter": " ",
|
| 147 |
+
"fewshot_delimiter": "\n\n",
|
| 148 |
+
"num_fewshot": 0,
|
| 149 |
+
"metric_list": [
|
| 150 |
+
{
|
| 151 |
+
"metric": "acc"
|
| 152 |
+
}
|
| 153 |
+
],
|
| 154 |
+
"output_type": "multiple_choice",
|
| 155 |
+
"repeats": 1,
|
| 156 |
+
"should_decontaminate": true,
|
| 157 |
+
"doc_to_decontamination_query": "passage"
|
| 158 |
+
},
|
| 159 |
+
"hellaswag": {
|
| 160 |
+
"task": "hellaswag",
|
| 161 |
+
"group": [
|
| 162 |
+
"multiple_choice"
|
| 163 |
+
],
|
| 164 |
+
"dataset_path": "hellaswag",
|
| 165 |
+
"training_split": "train",
|
| 166 |
+
"validation_split": "validation",
|
| 167 |
+
"doc_to_text": "{% set text = activity_label ~ ': ' ~ ctx_a ~ ' ' ~ ctx_b.capitalize() %}{{text|trim|replace(' [title]', '. ')|regex_replace('\\[.*?\\]', '')|replace(' ', ' ')}}",
|
| 168 |
+
"doc_to_target": "{{label}}",
|
| 169 |
+
"doc_to_choice": "{{endings|map('trim')|map('replace', ' [title]', '. ')|map('regex_replace', '\\[.*?\\]', '')|map('replace', ' ', ' ')|list}}",
|
| 170 |
+
"description": "",
|
| 171 |
+
"target_delimiter": " ",
|
| 172 |
+
"fewshot_delimiter": "\n\n",
|
| 173 |
+
"num_fewshot": 0,
|
| 174 |
+
"metric_list": [
|
| 175 |
+
{
|
| 176 |
+
"metric": "acc",
|
| 177 |
+
"aggregation": "mean",
|
| 178 |
+
"higher_is_better": true
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"metric": "acc_norm",
|
| 182 |
+
"aggregation": "mean",
|
| 183 |
+
"higher_is_better": true
|
| 184 |
+
}
|
| 185 |
+
],
|
| 186 |
+
"output_type": "multiple_choice",
|
| 187 |
+
"repeats": 1,
|
| 188 |
+
"should_decontaminate": false
|
| 189 |
+
},
|
| 190 |
+
"lambada_openai": {
|
| 191 |
+
"task": "lambada_openai",
|
| 192 |
+
"group": [
|
| 193 |
+
"lambada",
|
| 194 |
+
"loglikelihood",
|
| 195 |
+
"perplexity"
|
| 196 |
+
],
|
| 197 |
+
"dataset_path": "EleutherAI/lambada_openai",
|
| 198 |
+
"dataset_name": "default",
|
| 199 |
+
"test_split": "test",
|
| 200 |
+
"template_aliases": "",
|
| 201 |
+
"doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}",
|
| 202 |
+
"doc_to_target": "{{' '+text.split(' ')[-1]}}",
|
| 203 |
+
"description": "",
|
| 204 |
+
"target_delimiter": " ",
|
| 205 |
+
"fewshot_delimiter": "\n\n",
|
| 206 |
+
"num_fewshot": 0,
|
| 207 |
+
"metric_list": [
|
| 208 |
+
{
|
| 209 |
+
"metric": "perplexity",
|
| 210 |
+
"aggregation": "perplexity",
|
| 211 |
+
"higher_is_better": false
|
| 212 |
+
},
|
| 213 |
+
{
|
| 214 |
+
"metric": "acc",
|
| 215 |
+
"aggregation": "mean",
|
| 216 |
+
"higher_is_better": true
|
| 217 |
+
}
|
| 218 |
+
],
|
| 219 |
+
"output_type": "loglikelihood",
|
| 220 |
+
"repeats": 1,
|
| 221 |
+
"should_decontaminate": true,
|
| 222 |
+
"doc_to_decontamination_query": "{{text}}"
|
| 223 |
+
},
|
| 224 |
+
"openbookqa": {
|
| 225 |
+
"task": "openbookqa",
|
| 226 |
+
"group": [
|
| 227 |
+
"multiple_choice"
|
| 228 |
+
],
|
| 229 |
+
"dataset_path": "openbookqa",
|
| 230 |
+
"dataset_name": "main",
|
| 231 |
+
"training_split": "train",
|
| 232 |
+
"validation_split": "validation",
|
| 233 |
+
"test_split": "test",
|
| 234 |
+
"doc_to_text": "question_stem",
|
| 235 |
+
"doc_to_target": "{{choices.label.index(answerKey.lstrip())}}",
|
| 236 |
+
"doc_to_choice": "{{choices.text}}",
|
| 237 |
+
"description": "",
|
| 238 |
+
"target_delimiter": " ",
|
| 239 |
+
"fewshot_delimiter": "\n\n",
|
| 240 |
+
"num_fewshot": 0,
|
| 241 |
+
"metric_list": [
|
| 242 |
+
{
|
| 243 |
+
"metric": "acc",
|
| 244 |
+
"aggregation": "mean",
|
| 245 |
+
"higher_is_better": true
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"metric": "acc_norm",
|
| 249 |
+
"aggregation": "mean",
|
| 250 |
+
"higher_is_better": true
|
| 251 |
+
}
|
| 252 |
+
],
|
| 253 |
+
"output_type": "multiple_choice",
|
| 254 |
+
"repeats": 1,
|
| 255 |
+
"should_decontaminate": true,
|
| 256 |
+
"doc_to_decontamination_query": "question_stem"
|
| 257 |
+
},
|
| 258 |
+
"piqa": {
|
| 259 |
+
"task": "piqa",
|
| 260 |
+
"group": [
|
| 261 |
+
"multiple_choice"
|
| 262 |
+
],
|
| 263 |
+
"dataset_path": "piqa",
|
| 264 |
+
"training_split": "train",
|
| 265 |
+
"validation_split": "validation",
|
| 266 |
+
"doc_to_text": "Question: {{goal}}\nAnswer:",
|
| 267 |
+
"doc_to_target": "label",
|
| 268 |
+
"doc_to_choice": "{{[sol1, sol2]}}",
|
| 269 |
+
"description": "",
|
| 270 |
+
"target_delimiter": " ",
|
| 271 |
+
"fewshot_delimiter": "\n\n",
|
| 272 |
+
"num_fewshot": 0,
|
| 273 |
+
"metric_list": [
|
| 274 |
+
{
|
| 275 |
+
"metric": "acc",
|
| 276 |
+
"aggregation": "mean",
|
| 277 |
+
"higher_is_better": true
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"metric": "acc_norm",
|
| 281 |
+
"aggregation": "mean",
|
| 282 |
+
"higher_is_better": true
|
| 283 |
+
}
|
| 284 |
+
],
|
| 285 |
+
"output_type": "multiple_choice",
|
| 286 |
+
"repeats": 1,
|
| 287 |
+
"should_decontaminate": true,
|
| 288 |
+
"doc_to_decontamination_query": "goal"
|
| 289 |
+
},
|
| 290 |
+
"sciq": {
|
| 291 |
+
"task": "sciq",
|
| 292 |
+
"group": [
|
| 293 |
+
"multiple_choice"
|
| 294 |
+
],
|
| 295 |
+
"dataset_path": "sciq",
|
| 296 |
+
"training_split": "train",
|
| 297 |
+
"validation_split": "validation",
|
| 298 |
+
"test_split": "test",
|
| 299 |
+
"doc_to_text": "{{support.lstrip()}}\nQuestion: {{question}}\nAnswer:",
|
| 300 |
+
"doc_to_target": 3,
|
| 301 |
+
"doc_to_choice": "{{[distractor1, distractor2, distractor3, correct_answer]}}",
|
| 302 |
+
"description": "",
|
| 303 |
+
"target_delimiter": " ",
|
| 304 |
+
"fewshot_delimiter": "\n\n",
|
| 305 |
+
"num_fewshot": 0,
|
| 306 |
+
"metric_list": [
|
| 307 |
+
{
|
| 308 |
+
"metric": "acc",
|
| 309 |
+
"aggregation": "mean",
|
| 310 |
+
"higher_is_better": true
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"metric": "acc_norm",
|
| 314 |
+
"aggregation": "mean",
|
| 315 |
+
"higher_is_better": true
|
| 316 |
+
}
|
| 317 |
+
],
|
| 318 |
+
"output_type": "multiple_choice",
|
| 319 |
+
"repeats": 1,
|
| 320 |
+
"should_decontaminate": true,
|
| 321 |
+
"doc_to_decontamination_query": "{{support}} {{question}}"
|
| 322 |
+
},
|
| 323 |
+
"wikitext": {
|
| 324 |
+
"task": "wikitext",
|
| 325 |
+
"group": [
|
| 326 |
+
"perplexity",
|
| 327 |
+
"loglikelihood_rolling"
|
| 328 |
+
],
|
| 329 |
+
"dataset_path": "EleutherAI/wikitext_document_level",
|
| 330 |
+
"dataset_name": "wikitext-2-raw-v1",
|
| 331 |
+
"training_split": "train",
|
| 332 |
+
"validation_split": "validation",
|
| 333 |
+
"test_split": "test",
|
| 334 |
+
"template_aliases": "",
|
| 335 |
+
"doc_to_text": "",
|
| 336 |
+
"doc_to_target": "<function wikitext_detokenizer at 0x7f110a2a0040>",
|
| 337 |
+
"description": "",
|
| 338 |
+
"target_delimiter": " ",
|
| 339 |
+
"fewshot_delimiter": "\n\n",
|
| 340 |
+
"num_fewshot": 0,
|
| 341 |
+
"metric_list": [
|
| 342 |
+
{
|
| 343 |
+
"metric": "word_perplexity"
|
| 344 |
+
},
|
| 345 |
+
{
|
| 346 |
+
"metric": "byte_perplexity"
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"metric": "bits_per_byte"
|
| 350 |
+
}
|
| 351 |
+
],
|
| 352 |
+
"output_type": "loglikelihood_rolling",
|
| 353 |
+
"repeats": 1,
|
| 354 |
+
"should_decontaminate": true,
|
| 355 |
+
"doc_to_decontamination_query": "{{page}}"
|
| 356 |
+
},
|
| 357 |
+
"winogrande": {
|
| 358 |
+
"task": "winogrande",
|
| 359 |
+
"dataset_path": "winogrande",
|
| 360 |
+
"dataset_name": "winogrande_xl",
|
| 361 |
+
"training_split": "train",
|
| 362 |
+
"validation_split": "validation",
|
| 363 |
+
"doc_to_text": "<function doc_to_text at 0x7f110a272ef0>",
|
| 364 |
+
"doc_to_target": "<function doc_to_target at 0x7f110a273370>",
|
| 365 |
+
"doc_to_choice": "<function doc_to_choice at 0x7f110a2735b0>",
|
| 366 |
+
"description": "",
|
| 367 |
+
"target_delimiter": " ",
|
| 368 |
+
"fewshot_delimiter": "\n\n",
|
| 369 |
+
"num_fewshot": 0,
|
| 370 |
+
"metric_list": [
|
| 371 |
+
{
|
| 372 |
+
"metric": "acc",
|
| 373 |
+
"aggregation": "mean",
|
| 374 |
+
"higher_is_better": true
|
| 375 |
+
}
|
| 376 |
+
],
|
| 377 |
+
"output_type": "multiple_choice",
|
| 378 |
+
"repeats": 1,
|
| 379 |
+
"should_decontaminate": false
|
| 380 |
+
}
|
| 381 |
+
},
|
| 382 |
+
"versions": {
|
| 383 |
+
"arc_challenge": "Yaml",
|
| 384 |
+
"arc_easy": "Yaml",
|
| 385 |
+
"boolq": "Yaml",
|
| 386 |
+
"hellaswag": "Yaml",
|
| 387 |
+
"lambada_openai": "Yaml",
|
| 388 |
+
"openbookqa": "Yaml",
|
| 389 |
+
"piqa": "Yaml",
|
| 390 |
+
"sciq": "Yaml",
|
| 391 |
+
"wikitext": "Yaml",
|
| 392 |
+
"winogrande": "Yaml"
|
| 393 |
+
},
|
| 394 |
+
"config": {
|
| 395 |
+
"model": "hf",
|
| 396 |
+
"model_args": "pretrained=EleutherAI/pythia-160m",
|
| 397 |
+
"num_fewshot": 0,
|
| 398 |
+
"batch_size": 16,
|
| 399 |
+
"batch_sizes": [],
|
| 400 |
+
"device": "cuda:0",
|
| 401 |
+
"use_cache": null,
|
| 402 |
+
"limit": null,
|
| 403 |
+
"bootstrap_iters": 100000
|
| 404 |
+
},
|
| 405 |
+
"git_hash": "4e44f0a"
|
| 406 |
+
}
|
base-160m-eval-files/EleutherAI-pythia-160m-5shot-shelloutput.txt
ADDED
|
@@ -0,0 +1,430 @@
|
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|
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|
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|
|
|
|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
bootstrapping for stddev: perplexity
|
| 2 |
+
{
|
| 3 |
+
"results": {
|
| 4 |
+
"arc_challenge": {
|
| 5 |
+
"acc,none": 0.18088737201365188,
|
| 6 |
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"acc_stderr,none": 0.01124857446740703,
|
| 7 |
+
"acc_norm,none": 0.22696245733788395,
|
| 8 |
+
"acc_norm_stderr,none": 0.012240491536132877
|
| 9 |
+
},
|
| 10 |
+
"arc_easy": {
|
| 11 |
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"acc,none": 0.44276094276094274,
|
| 12 |
+
"acc_stderr,none": 0.010192333348394464,
|
| 13 |
+
"acc_norm,none": 0.4234006734006734,
|
| 14 |
+
"acc_norm_stderr,none": 0.010138671005289052
|
| 15 |
+
},
|
| 16 |
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"boolq": {
|
| 17 |
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"acc,none": 0.5201834862385321,
|
| 18 |
+
"acc_stderr,none": 0.008737927070893482
|
| 19 |
+
},
|
| 20 |
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"hellaswag": {
|
| 21 |
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"acc,none": 0.28689504082852024,
|
| 22 |
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"acc_stderr,none": 0.004513877465062066,
|
| 23 |
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"acc_norm,none": 0.30561641107349136,
|
| 24 |
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"acc_norm_stderr,none": 0.0045972653995687476
|
| 25 |
+
},
|
| 26 |
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"lambada_openai": {
|
| 27 |
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"perplexity,none": 64.43019423487391,
|
| 28 |
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"perplexity_stderr,none": 2.4889723074682717,
|
| 29 |
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"acc,none": 0.27149233456239086,
|
| 30 |
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"acc_stderr,none": 0.006195950247020848
|
| 31 |
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},
|
| 32 |
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"openbookqa": {
|
| 33 |
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"acc,none": 0.164,
|
| 34 |
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"acc_stderr,none": 0.0165758111424467,
|
| 35 |
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"acc_norm,none": 0.256,
|
| 36 |
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"acc_norm_stderr,none": 0.01953692357474761
|
| 37 |
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},
|
| 38 |
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"piqa": {
|
| 39 |
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"acc,none": 0.6256800870511425,
|
| 40 |
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"acc_stderr,none": 0.011291276801194992,
|
| 41 |
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"acc_norm,none": 0.6305767138193689,
|
| 42 |
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"acc_norm_stderr,none": 0.011260988628572336
|
| 43 |
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},
|
| 44 |
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"sciq": {
|
| 45 |
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"acc,none": 0.78,
|
| 46 |
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"acc_stderr,none": 0.013106173040661773,
|
| 47 |
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"acc_norm,none": 0.757,
|
| 48 |
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"acc_norm_stderr,none": 0.013569640199177451
|
| 49 |
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},
|
| 50 |
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"wikitext": {
|
| 51 |
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"word_perplexity,none": 62.20996521798232,
|
| 52 |
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"byte_perplexity,none": 1.975726163529806,
|
| 53 |
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"bits_per_byte,none": 0.9823830026441426
|
| 54 |
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},
|
| 55 |
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"winogrande": {
|
| 56 |
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"acc,none": 0.5130228887134964,
|
| 57 |
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"acc_stderr,none": 0.01404771839399767
|
| 58 |
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}
|
| 59 |
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},
|
| 60 |
+
"configs": {
|
| 61 |
+
"arc_challenge": {
|
| 62 |
+
"task": "arc_challenge",
|
| 63 |
+
"group": [
|
| 64 |
+
"ai2_arc",
|
| 65 |
+
"multiple_choice"
|
| 66 |
+
],
|
| 67 |
+
"dataset_path": "ai2_arc",
|
| 68 |
+
"dataset_name": "ARC-Challenge",
|
| 69 |
+
"training_split": "train",
|
| 70 |
+
"validation_split": "validation",
|
| 71 |
+
"test_split": "test",
|
| 72 |
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"doc_to_text": "Question: {{question}}\nAnswer:",
|
| 73 |
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"doc_to_target": "{{choices.label.index(answerKey)}}",
|
| 74 |
+
"doc_to_choice": "{{choices.text}}",
|
| 75 |
+
"description": "",
|
| 76 |
+
"target_delimiter": " ",
|
| 77 |
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"fewshot_delimiter": "\n\n",
|
| 78 |
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"num_fewshot": 5,
|
| 79 |
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"metric_list": [
|
| 80 |
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{
|
| 81 |
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"metric": "acc",
|
| 82 |
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"aggregation": "mean",
|
| 83 |
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"higher_is_better": true
|
| 84 |
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},
|
| 85 |
+
{
|
| 86 |
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"metric": "acc_norm",
|
| 87 |
+
"aggregation": "mean",
|
| 88 |
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"higher_is_better": true
|
| 89 |
+
}
|
| 90 |
+
],
|
| 91 |
+
"output_type": "multiple_choice",
|
| 92 |
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"repeats": 1,
|
| 93 |
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"should_decontaminate": true,
|
| 94 |
+
"doc_to_decontamination_query": "Question: {{question}}\nAnswer:"
|
| 95 |
+
},
|
| 96 |
+
"arc_easy": {
|
| 97 |
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"task": "arc_easy",
|
| 98 |
+
"group": [
|
| 99 |
+
"ai2_arc",
|
| 100 |
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"multiple_choice"
|
| 101 |
+
],
|
| 102 |
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"dataset_path": "ai2_arc",
|
| 103 |
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"dataset_name": "ARC-Easy",
|
| 104 |
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"training_split": "train",
|
| 105 |
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"validation_split": "validation",
|
| 106 |
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"test_split": "test",
|
| 107 |
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"doc_to_text": "Question: {{question}}\nAnswer:",
|
| 108 |
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"doc_to_target": "{{choices.label.index(answerKey)}}",
|
| 109 |
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"doc_to_choice": "{{choices.text}}",
|
| 110 |
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"description": "",
|
| 111 |
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"target_delimiter": " ",
|
| 112 |
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"fewshot_delimiter": "\n\n",
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| 113 |
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"num_fewshot": 5,
|
| 114 |
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"metric_list": [
|
| 115 |
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{
|
| 116 |
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"metric": "acc",
|
| 117 |
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"aggregation": "mean",
|
| 118 |
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"higher_is_better": true
|
| 119 |
+
},
|
| 120 |
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{
|
| 121 |
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"metric": "acc_norm",
|
| 122 |
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"aggregation": "mean",
|
| 123 |
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"higher_is_better": true
|
| 124 |
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}
|
| 125 |
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],
|
| 126 |
+
"output_type": "multiple_choice",
|
| 127 |
+
"repeats": 1,
|
| 128 |
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"should_decontaminate": true,
|
| 129 |
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"doc_to_decontamination_query": "Question: {{question}}\nAnswer:"
|
| 130 |
+
},
|
| 131 |
+
"boolq": {
|
| 132 |
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"task": "boolq",
|
| 133 |
+
"group": [
|
| 134 |
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"super-glue-lm-eval-v1"
|
| 135 |
+
],
|
| 136 |
+
"dataset_path": "super_glue",
|
| 137 |
+
"dataset_name": "boolq",
|
| 138 |
+
"training_split": "train",
|
| 139 |
+
"validation_split": "validation",
|
| 140 |
+
"doc_to_text": "{{passage}}\nQuestion: {{question}}?\nAnswer:",
|
| 141 |
+
"doc_to_target": "label",
|
| 142 |
+
"doc_to_choice": [
|
| 143 |
+
"no",
|
| 144 |
+
"yes"
|
| 145 |
+
],
|
| 146 |
+
"description": "",
|
| 147 |
+
"target_delimiter": " ",
|
| 148 |
+
"fewshot_delimiter": "\n\n",
|
| 149 |
+
"num_fewshot": 5,
|
| 150 |
+
"metric_list": [
|
| 151 |
+
{
|
| 152 |
+
"metric": "acc"
|
| 153 |
+
}
|
| 154 |
+
],
|
| 155 |
+
"output_type": "multiple_choice",
|
| 156 |
+
"repeats": 1,
|
| 157 |
+
"should_decontaminate": true,
|
| 158 |
+
"doc_to_decontamination_query": "passage"
|
| 159 |
+
},
|
| 160 |
+
"hellaswag": {
|
| 161 |
+
"task": "hellaswag",
|
| 162 |
+
"group": [
|
| 163 |
+
"multiple_choice"
|
| 164 |
+
],
|
| 165 |
+
"dataset_path": "hellaswag",
|
| 166 |
+
"training_split": "train",
|
| 167 |
+
"validation_split": "validation",
|
| 168 |
+
"doc_to_text": "{% set text = activity_label ~ ': ' ~ ctx_a ~ ' ' ~ ctx_b.capitalize() %}{{text|trim|replace(' [title]', '. ')|regex_replace('\\[.*?\\]', '')|replace(' ', ' ')}}",
|
| 169 |
+
"doc_to_target": "{{label}}",
|
| 170 |
+
"doc_to_choice": "{{endings|map('trim')|map('replace', ' [title]', '. ')|map('regex_replace', '\\[.*?\\]', '')|map('replace', ' ', ' ')|list}}",
|
| 171 |
+
"description": "",
|
| 172 |
+
"target_delimiter": " ",
|
| 173 |
+
"fewshot_delimiter": "\n\n",
|
| 174 |
+
"num_fewshot": 5,
|
| 175 |
+
"metric_list": [
|
| 176 |
+
{
|
| 177 |
+
"metric": "acc",
|
| 178 |
+
"aggregation": "mean",
|
| 179 |
+
"higher_is_better": true
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"metric": "acc_norm",
|
| 183 |
+
"aggregation": "mean",
|
| 184 |
+
"higher_is_better": true
|
| 185 |
+
}
|
| 186 |
+
],
|
| 187 |
+
"output_type": "multiple_choice",
|
| 188 |
+
"repeats": 1,
|
| 189 |
+
"should_decontaminate": false
|
| 190 |
+
},
|
| 191 |
+
"lambada_openai": {
|
| 192 |
+
"task": "lambada_openai",
|
| 193 |
+
"group": [
|
| 194 |
+
"lambada",
|
| 195 |
+
"loglikelihood",
|
| 196 |
+
"perplexity"
|
| 197 |
+
],
|
| 198 |
+
"dataset_path": "EleutherAI/lambada_openai",
|
| 199 |
+
"dataset_name": "default",
|
| 200 |
+
"test_split": "test",
|
| 201 |
+
"template_aliases": "",
|
| 202 |
+
"doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}",
|
| 203 |
+
"doc_to_target": "{{' '+text.split(' ')[-1]}}",
|
| 204 |
+
"description": "",
|
| 205 |
+
"target_delimiter": " ",
|
| 206 |
+
"fewshot_delimiter": "\n\n",
|
| 207 |
+
"num_fewshot": 5,
|
| 208 |
+
"metric_list": [
|
| 209 |
+
{
|
| 210 |
+
"metric": "perplexity",
|
| 211 |
+
"aggregation": "perplexity",
|
| 212 |
+
"higher_is_better": false
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"metric": "acc",
|
| 216 |
+
"aggregation": "mean",
|
| 217 |
+
"higher_is_better": true
|
| 218 |
+
}
|
| 219 |
+
],
|
| 220 |
+
"output_type": "loglikelihood",
|
| 221 |
+
"repeats": 1,
|
| 222 |
+
"should_decontaminate": true,
|
| 223 |
+
"doc_to_decontamination_query": "{{text}}"
|
| 224 |
+
},
|
| 225 |
+
"openbookqa": {
|
| 226 |
+
"task": "openbookqa",
|
| 227 |
+
"group": [
|
| 228 |
+
"multiple_choice"
|
| 229 |
+
],
|
| 230 |
+
"dataset_path": "openbookqa",
|
| 231 |
+
"dataset_name": "main",
|
| 232 |
+
"training_split": "train",
|
| 233 |
+
"validation_split": "validation",
|
| 234 |
+
"test_split": "test",
|
| 235 |
+
"doc_to_text": "question_stem",
|
| 236 |
+
"doc_to_target": "{{choices.label.index(answerKey.lstrip())}}",
|
| 237 |
+
"doc_to_choice": "{{choices.text}}",
|
| 238 |
+
"description": "",
|
| 239 |
+
"target_delimiter": " ",
|
| 240 |
+
"fewshot_delimiter": "\n\n",
|
| 241 |
+
"num_fewshot": 5,
|
| 242 |
+
"metric_list": [
|
| 243 |
+
{
|
| 244 |
+
"metric": "acc",
|
| 245 |
+
"aggregation": "mean",
|
| 246 |
+
"higher_is_better": true
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"metric": "acc_norm",
|
| 250 |
+
"aggregation": "mean",
|
| 251 |
+
"higher_is_better": true
|
| 252 |
+
}
|
| 253 |
+
],
|
| 254 |
+
"output_type": "multiple_choice",
|
| 255 |
+
"repeats": 1,
|
| 256 |
+
"should_decontaminate": true,
|
| 257 |
+
"doc_to_decontamination_query": "question_stem"
|
| 258 |
+
},
|
| 259 |
+
"piqa": {
|
| 260 |
+
"task": "piqa",
|
| 261 |
+
"group": [
|
| 262 |
+
"multiple_choice"
|
| 263 |
+
],
|
| 264 |
+
"dataset_path": "piqa",
|
| 265 |
+
"training_split": "train",
|
| 266 |
+
"validation_split": "validation",
|
| 267 |
+
"doc_to_text": "Question: {{goal}}\nAnswer:",
|
| 268 |
+
"doc_to_target": "label",
|
| 269 |
+
"doc_to_choice": "{{[sol1, sol2]}}",
|
| 270 |
+
"description": "",
|
| 271 |
+
"target_delimiter": " ",
|
| 272 |
+
"fewshot_delimiter": "\n\n",
|
| 273 |
+
"num_fewshot": 5,
|
| 274 |
+
"metric_list": [
|
| 275 |
+
{
|
| 276 |
+
"metric": "acc",
|
| 277 |
+
"aggregation": "mean",
|
| 278 |
+
"higher_is_better": true
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"metric": "acc_norm",
|
| 282 |
+
"aggregation": "mean",
|
| 283 |
+
"higher_is_better": true
|
| 284 |
+
}
|
| 285 |
+
],
|
| 286 |
+
"output_type": "multiple_choice",
|
| 287 |
+
"repeats": 1,
|
| 288 |
+
"should_decontaminate": true,
|
| 289 |
+
"doc_to_decontamination_query": "goal"
|
| 290 |
+
},
|
| 291 |
+
"sciq": {
|
| 292 |
+
"task": "sciq",
|
| 293 |
+
"group": [
|
| 294 |
+
"multiple_choice"
|
| 295 |
+
],
|
| 296 |
+
"dataset_path": "sciq",
|
| 297 |
+
"training_split": "train",
|
| 298 |
+
"validation_split": "validation",
|
| 299 |
+
"test_split": "test",
|
| 300 |
+
"doc_to_text": "{{support.lstrip()}}\nQuestion: {{question}}\nAnswer:",
|
| 301 |
+
"doc_to_target": 3,
|
| 302 |
+
"doc_to_choice": "{{[distractor1, distractor2, distractor3, correct_answer]}}",
|
| 303 |
+
"description": "",
|
| 304 |
+
"target_delimiter": " ",
|
| 305 |
+
"fewshot_delimiter": "\n\n",
|
| 306 |
+
"num_fewshot": 5,
|
| 307 |
+
"metric_list": [
|
| 308 |
+
{
|
| 309 |
+
"metric": "acc",
|
| 310 |
+
"aggregation": "mean",
|
| 311 |
+
"higher_is_better": true
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"metric": "acc_norm",
|
| 315 |
+
"aggregation": "mean",
|
| 316 |
+
"higher_is_better": true
|
| 317 |
+
}
|
| 318 |
+
],
|
| 319 |
+
"output_type": "multiple_choice",
|
| 320 |
+
"repeats": 1,
|
| 321 |
+
"should_decontaminate": true,
|
| 322 |
+
"doc_to_decontamination_query": "{{support}} {{question}}"
|
| 323 |
+
},
|
| 324 |
+
"wikitext": {
|
| 325 |
+
"task": "wikitext",
|
| 326 |
+
"group": [
|
| 327 |
+
"perplexity",
|
| 328 |
+
"loglikelihood_rolling"
|
| 329 |
+
],
|
| 330 |
+
"dataset_path": "EleutherAI/wikitext_document_level",
|
| 331 |
+
"dataset_name": "wikitext-2-raw-v1",
|
| 332 |
+
"training_split": "train",
|
| 333 |
+
"validation_split": "validation",
|
| 334 |
+
"test_split": "test",
|
| 335 |
+
"template_aliases": "",
|
| 336 |
+
"doc_to_text": "",
|
| 337 |
+
"doc_to_target": "<function wikitext_detokenizer at 0x7fc359d3c040>",
|
| 338 |
+
"description": "",
|
| 339 |
+
"target_delimiter": " ",
|
| 340 |
+
"fewshot_delimiter": "\n\n",
|
| 341 |
+
"num_fewshot": 5,
|
| 342 |
+
"metric_list": [
|
| 343 |
+
{
|
| 344 |
+
"metric": "word_perplexity"
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"metric": "byte_perplexity"
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"metric": "bits_per_byte"
|
| 351 |
+
}
|
| 352 |
+
],
|
| 353 |
+
"output_type": "loglikelihood_rolling",
|
| 354 |
+
"repeats": 1,
|
| 355 |
+
"should_decontaminate": true,
|
| 356 |
+
"doc_to_decontamination_query": "{{page}}"
|
| 357 |
+
},
|
| 358 |
+
"winogrande": {
|
| 359 |
+
"task": "winogrande",
|
| 360 |
+
"dataset_path": "winogrande",
|
| 361 |
+
"dataset_name": "winogrande_xl",
|
| 362 |
+
"training_split": "train",
|
| 363 |
+
"validation_split": "validation",
|
| 364 |
+
"doc_to_text": "<function doc_to_text at 0x7fc359d0eef0>",
|
| 365 |
+
"doc_to_target": "<function doc_to_target at 0x7fc359d0f370>",
|
| 366 |
+
"doc_to_choice": "<function doc_to_choice at 0x7fc359d0f5b0>",
|
| 367 |
+
"description": "",
|
| 368 |
+
"target_delimiter": " ",
|
| 369 |
+
"fewshot_delimiter": "\n\n",
|
| 370 |
+
"num_fewshot": 5,
|
| 371 |
+
"metric_list": [
|
| 372 |
+
{
|
| 373 |
+
"metric": "acc",
|
| 374 |
+
"aggregation": "mean",
|
| 375 |
+
"higher_is_better": true
|
| 376 |
+
}
|
| 377 |
+
],
|
| 378 |
+
"output_type": "multiple_choice",
|
| 379 |
+
"repeats": 1,
|
| 380 |
+
"should_decontaminate": false
|
| 381 |
+
}
|
| 382 |
+
},
|
| 383 |
+
"versions": {
|
| 384 |
+
"arc_challenge": "Yaml",
|
| 385 |
+
"arc_easy": "Yaml",
|
| 386 |
+
"boolq": "Yaml",
|
| 387 |
+
"hellaswag": "Yaml",
|
| 388 |
+
"lambada_openai": "Yaml",
|
| 389 |
+
"openbookqa": "Yaml",
|
| 390 |
+
"piqa": "Yaml",
|
| 391 |
+
"sciq": "Yaml",
|
| 392 |
+
"wikitext": "Yaml",
|
| 393 |
+
"winogrande": "Yaml"
|
| 394 |
+
},
|
| 395 |
+
"config": {
|
| 396 |
+
"model": "hf",
|
| 397 |
+
"model_args": "pretrained=EleutherAI/pythia-160m",
|
| 398 |
+
"num_fewshot": 5,
|
| 399 |
+
"batch_size": 16,
|
| 400 |
+
"batch_sizes": [],
|
| 401 |
+
"device": "cuda:0",
|
| 402 |
+
"use_cache": null,
|
| 403 |
+
"limit": null,
|
| 404 |
+
"bootstrap_iters": 100000
|
| 405 |
+
},
|
| 406 |
+
"git_hash": "4e44f0a"
|
| 407 |
+
}
|
| 408 |
+
hf (pretrained=EleutherAI/pythia-160m), limit: None, num_fewshot: 5, batch_size: 16
|
| 409 |
+
| Task |Version|Filter| Metric | Value | |Stderr|
|
| 410 |
+
|--------------|-------|------|---------------|------:|---|-----:|
|
| 411 |
+
|arc_challenge |Yaml |none |acc | 0.1809|± |0.0112|
|
| 412 |
+
| | |none |acc_norm | 0.2270|± |0.0122|
|
| 413 |
+
|arc_easy |Yaml |none |acc | 0.4428|± |0.0102|
|
| 414 |
+
| | |none |acc_norm | 0.4234|± |0.0101|
|
| 415 |
+
|boolq |Yaml |none |acc | 0.5202|± |0.0087|
|
| 416 |
+
|hellaswag |Yaml |none |acc | 0.2869|± |0.0045|
|
| 417 |
+
| | |none |acc_norm | 0.3056|± |0.0046|
|
| 418 |
+
|lambada_openai|Yaml |none |perplexity |64.4302|± |2.4890|
|
| 419 |
+
| | |none |acc | 0.2715|± |0.0062|
|
| 420 |
+
|openbookqa |Yaml |none |acc | 0.1640|± |0.0166|
|
| 421 |
+
| | |none |acc_norm | 0.2560|± |0.0195|
|
| 422 |
+
|piqa |Yaml |none |acc | 0.6257|± |0.0113|
|
| 423 |
+
| | |none |acc_norm | 0.6306|± |0.0113|
|
| 424 |
+
|sciq |Yaml |none |acc | 0.7800|± |0.0131|
|
| 425 |
+
| | |none |acc_norm | 0.7570|± |0.0136|
|
| 426 |
+
|wikitext |Yaml |none |word_perplexity|62.2100| | |
|
| 427 |
+
| | |none |byte_perplexity| 1.9757| | |
|
| 428 |
+
| | |none |bits_per_byte | 0.9824| | |
|
| 429 |
+
|winogrande |Yaml |none |acc | 0.5130|± |0.0140|
|
| 430 |
+
|
base-160m-eval-files/EleutherAI-pythia-160m-5shot/results.json
ADDED
|
@@ -0,0 +1,406 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"arc_challenge": {
|
| 4 |
+
"acc,none": 0.18088737201365188,
|
| 5 |
+
"acc_stderr,none": 0.01124857446740703,
|
| 6 |
+
"acc_norm,none": 0.22696245733788395,
|
| 7 |
+
"acc_norm_stderr,none": 0.012240491536132877
|
| 8 |
+
},
|
| 9 |
+
"arc_easy": {
|
| 10 |
+
"acc,none": 0.44276094276094274,
|
| 11 |
+
"acc_stderr,none": 0.010192333348394464,
|
| 12 |
+
"acc_norm,none": 0.4234006734006734,
|
| 13 |
+
"acc_norm_stderr,none": 0.010138671005289052
|
| 14 |
+
},
|
| 15 |
+
"boolq": {
|
| 16 |
+
"acc,none": 0.5201834862385321,
|
| 17 |
+
"acc_stderr,none": 0.008737927070893482
|
| 18 |
+
},
|
| 19 |
+
"hellaswag": {
|
| 20 |
+
"acc,none": 0.28689504082852024,
|
| 21 |
+
"acc_stderr,none": 0.004513877465062066,
|
| 22 |
+
"acc_norm,none": 0.30561641107349136,
|
| 23 |
+
"acc_norm_stderr,none": 0.0045972653995687476
|
| 24 |
+
},
|
| 25 |
+
"lambada_openai": {
|
| 26 |
+
"perplexity,none": 64.43019423487391,
|
| 27 |
+
"perplexity_stderr,none": 2.4889723074682717,
|
| 28 |
+
"acc,none": 0.27149233456239086,
|
| 29 |
+
"acc_stderr,none": 0.006195950247020848
|
| 30 |
+
},
|
| 31 |
+
"openbookqa": {
|
| 32 |
+
"acc,none": 0.164,
|
| 33 |
+
"acc_stderr,none": 0.0165758111424467,
|
| 34 |
+
"acc_norm,none": 0.256,
|
| 35 |
+
"acc_norm_stderr,none": 0.01953692357474761
|
| 36 |
+
},
|
| 37 |
+
"piqa": {
|
| 38 |
+
"acc,none": 0.6256800870511425,
|
| 39 |
+
"acc_stderr,none": 0.011291276801194992,
|
| 40 |
+
"acc_norm,none": 0.6305767138193689,
|
| 41 |
+
"acc_norm_stderr,none": 0.011260988628572336
|
| 42 |
+
},
|
| 43 |
+
"sciq": {
|
| 44 |
+
"acc,none": 0.78,
|
| 45 |
+
"acc_stderr,none": 0.013106173040661773,
|
| 46 |
+
"acc_norm,none": 0.757,
|
| 47 |
+
"acc_norm_stderr,none": 0.013569640199177451
|
| 48 |
+
},
|
| 49 |
+
"wikitext": {
|
| 50 |
+
"word_perplexity,none": 62.20996521798232,
|
| 51 |
+
"byte_perplexity,none": 1.975726163529806,
|
| 52 |
+
"bits_per_byte,none": 0.9823830026441426
|
| 53 |
+
},
|
| 54 |
+
"winogrande": {
|
| 55 |
+
"acc,none": 0.5130228887134964,
|
| 56 |
+
"acc_stderr,none": 0.01404771839399767
|
| 57 |
+
}
|
| 58 |
+
},
|
| 59 |
+
"configs": {
|
| 60 |
+
"arc_challenge": {
|
| 61 |
+
"task": "arc_challenge",
|
| 62 |
+
"group": [
|
| 63 |
+
"ai2_arc",
|
| 64 |
+
"multiple_choice"
|
| 65 |
+
],
|
| 66 |
+
"dataset_path": "ai2_arc",
|
| 67 |
+
"dataset_name": "ARC-Challenge",
|
| 68 |
+
"training_split": "train",
|
| 69 |
+
"validation_split": "validation",
|
| 70 |
+
"test_split": "test",
|
| 71 |
+
"doc_to_text": "Question: {{question}}\nAnswer:",
|
| 72 |
+
"doc_to_target": "{{choices.label.index(answerKey)}}",
|
| 73 |
+
"doc_to_choice": "{{choices.text}}",
|
| 74 |
+
"description": "",
|
| 75 |
+
"target_delimiter": " ",
|
| 76 |
+
"fewshot_delimiter": "\n\n",
|
| 77 |
+
"num_fewshot": 5,
|
| 78 |
+
"metric_list": [
|
| 79 |
+
{
|
| 80 |
+
"metric": "acc",
|
| 81 |
+
"aggregation": "mean",
|
| 82 |
+
"higher_is_better": true
|
| 83 |
+
},
|
| 84 |
+
{
|
| 85 |
+
"metric": "acc_norm",
|
| 86 |
+
"aggregation": "mean",
|
| 87 |
+
"higher_is_better": true
|
| 88 |
+
}
|
| 89 |
+
],
|
| 90 |
+
"output_type": "multiple_choice",
|
| 91 |
+
"repeats": 1,
|
| 92 |
+
"should_decontaminate": true,
|
| 93 |
+
"doc_to_decontamination_query": "Question: {{question}}\nAnswer:"
|
| 94 |
+
},
|
| 95 |
+
"arc_easy": {
|
| 96 |
+
"task": "arc_easy",
|
| 97 |
+
"group": [
|
| 98 |
+
"ai2_arc",
|
| 99 |
+
"multiple_choice"
|
| 100 |
+
],
|
| 101 |
+
"dataset_path": "ai2_arc",
|
| 102 |
+
"dataset_name": "ARC-Easy",
|
| 103 |
+
"training_split": "train",
|
| 104 |
+
"validation_split": "validation",
|
| 105 |
+
"test_split": "test",
|
| 106 |
+
"doc_to_text": "Question: {{question}}\nAnswer:",
|
| 107 |
+
"doc_to_target": "{{choices.label.index(answerKey)}}",
|
| 108 |
+
"doc_to_choice": "{{choices.text}}",
|
| 109 |
+
"description": "",
|
| 110 |
+
"target_delimiter": " ",
|
| 111 |
+
"fewshot_delimiter": "\n\n",
|
| 112 |
+
"num_fewshot": 5,
|
| 113 |
+
"metric_list": [
|
| 114 |
+
{
|
| 115 |
+
"metric": "acc",
|
| 116 |
+
"aggregation": "mean",
|
| 117 |
+
"higher_is_better": true
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"metric": "acc_norm",
|
| 121 |
+
"aggregation": "mean",
|
| 122 |
+
"higher_is_better": true
|
| 123 |
+
}
|
| 124 |
+
],
|
| 125 |
+
"output_type": "multiple_choice",
|
| 126 |
+
"repeats": 1,
|
| 127 |
+
"should_decontaminate": true,
|
| 128 |
+
"doc_to_decontamination_query": "Question: {{question}}\nAnswer:"
|
| 129 |
+
},
|
| 130 |
+
"boolq": {
|
| 131 |
+
"task": "boolq",
|
| 132 |
+
"group": [
|
| 133 |
+
"super-glue-lm-eval-v1"
|
| 134 |
+
],
|
| 135 |
+
"dataset_path": "super_glue",
|
| 136 |
+
"dataset_name": "boolq",
|
| 137 |
+
"training_split": "train",
|
| 138 |
+
"validation_split": "validation",
|
| 139 |
+
"doc_to_text": "{{passage}}\nQuestion: {{question}}?\nAnswer:",
|
| 140 |
+
"doc_to_target": "label",
|
| 141 |
+
"doc_to_choice": [
|
| 142 |
+
"no",
|
| 143 |
+
"yes"
|
| 144 |
+
],
|
| 145 |
+
"description": "",
|
| 146 |
+
"target_delimiter": " ",
|
| 147 |
+
"fewshot_delimiter": "\n\n",
|
| 148 |
+
"num_fewshot": 5,
|
| 149 |
+
"metric_list": [
|
| 150 |
+
{
|
| 151 |
+
"metric": "acc"
|
| 152 |
+
}
|
| 153 |
+
],
|
| 154 |
+
"output_type": "multiple_choice",
|
| 155 |
+
"repeats": 1,
|
| 156 |
+
"should_decontaminate": true,
|
| 157 |
+
"doc_to_decontamination_query": "passage"
|
| 158 |
+
},
|
| 159 |
+
"hellaswag": {
|
| 160 |
+
"task": "hellaswag",
|
| 161 |
+
"group": [
|
| 162 |
+
"multiple_choice"
|
| 163 |
+
],
|
| 164 |
+
"dataset_path": "hellaswag",
|
| 165 |
+
"training_split": "train",
|
| 166 |
+
"validation_split": "validation",
|
| 167 |
+
"doc_to_text": "{% set text = activity_label ~ ': ' ~ ctx_a ~ ' ' ~ ctx_b.capitalize() %}{{text|trim|replace(' [title]', '. ')|regex_replace('\\[.*?\\]', '')|replace(' ', ' ')}}",
|
| 168 |
+
"doc_to_target": "{{label}}",
|
| 169 |
+
"doc_to_choice": "{{endings|map('trim')|map('replace', ' [title]', '. ')|map('regex_replace', '\\[.*?\\]', '')|map('replace', ' ', ' ')|list}}",
|
| 170 |
+
"description": "",
|
| 171 |
+
"target_delimiter": " ",
|
| 172 |
+
"fewshot_delimiter": "\n\n",
|
| 173 |
+
"num_fewshot": 5,
|
| 174 |
+
"metric_list": [
|
| 175 |
+
{
|
| 176 |
+
"metric": "acc",
|
| 177 |
+
"aggregation": "mean",
|
| 178 |
+
"higher_is_better": true
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"metric": "acc_norm",
|
| 182 |
+
"aggregation": "mean",
|
| 183 |
+
"higher_is_better": true
|
| 184 |
+
}
|
| 185 |
+
],
|
| 186 |
+
"output_type": "multiple_choice",
|
| 187 |
+
"repeats": 1,
|
| 188 |
+
"should_decontaminate": false
|
| 189 |
+
},
|
| 190 |
+
"lambada_openai": {
|
| 191 |
+
"task": "lambada_openai",
|
| 192 |
+
"group": [
|
| 193 |
+
"lambada",
|
| 194 |
+
"loglikelihood",
|
| 195 |
+
"perplexity"
|
| 196 |
+
],
|
| 197 |
+
"dataset_path": "EleutherAI/lambada_openai",
|
| 198 |
+
"dataset_name": "default",
|
| 199 |
+
"test_split": "test",
|
| 200 |
+
"template_aliases": "",
|
| 201 |
+
"doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}",
|
| 202 |
+
"doc_to_target": "{{' '+text.split(' ')[-1]}}",
|
| 203 |
+
"description": "",
|
| 204 |
+
"target_delimiter": " ",
|
| 205 |
+
"fewshot_delimiter": "\n\n",
|
| 206 |
+
"num_fewshot": 5,
|
| 207 |
+
"metric_list": [
|
| 208 |
+
{
|
| 209 |
+
"metric": "perplexity",
|
| 210 |
+
"aggregation": "perplexity",
|
| 211 |
+
"higher_is_better": false
|
| 212 |
+
},
|
| 213 |
+
{
|
| 214 |
+
"metric": "acc",
|
| 215 |
+
"aggregation": "mean",
|
| 216 |
+
"higher_is_better": true
|
| 217 |
+
}
|
| 218 |
+
],
|
| 219 |
+
"output_type": "loglikelihood",
|
| 220 |
+
"repeats": 1,
|
| 221 |
+
"should_decontaminate": true,
|
| 222 |
+
"doc_to_decontamination_query": "{{text}}"
|
| 223 |
+
},
|
| 224 |
+
"openbookqa": {
|
| 225 |
+
"task": "openbookqa",
|
| 226 |
+
"group": [
|
| 227 |
+
"multiple_choice"
|
| 228 |
+
],
|
| 229 |
+
"dataset_path": "openbookqa",
|
| 230 |
+
"dataset_name": "main",
|
| 231 |
+
"training_split": "train",
|
| 232 |
+
"validation_split": "validation",
|
| 233 |
+
"test_split": "test",
|
| 234 |
+
"doc_to_text": "question_stem",
|
| 235 |
+
"doc_to_target": "{{choices.label.index(answerKey.lstrip())}}",
|
| 236 |
+
"doc_to_choice": "{{choices.text}}",
|
| 237 |
+
"description": "",
|
| 238 |
+
"target_delimiter": " ",
|
| 239 |
+
"fewshot_delimiter": "\n\n",
|
| 240 |
+
"num_fewshot": 5,
|
| 241 |
+
"metric_list": [
|
| 242 |
+
{
|
| 243 |
+
"metric": "acc",
|
| 244 |
+
"aggregation": "mean",
|
| 245 |
+
"higher_is_better": true
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"metric": "acc_norm",
|
| 249 |
+
"aggregation": "mean",
|
| 250 |
+
"higher_is_better": true
|
| 251 |
+
}
|
| 252 |
+
],
|
| 253 |
+
"output_type": "multiple_choice",
|
| 254 |
+
"repeats": 1,
|
| 255 |
+
"should_decontaminate": true,
|
| 256 |
+
"doc_to_decontamination_query": "question_stem"
|
| 257 |
+
},
|
| 258 |
+
"piqa": {
|
| 259 |
+
"task": "piqa",
|
| 260 |
+
"group": [
|
| 261 |
+
"multiple_choice"
|
| 262 |
+
],
|
| 263 |
+
"dataset_path": "piqa",
|
| 264 |
+
"training_split": "train",
|
| 265 |
+
"validation_split": "validation",
|
| 266 |
+
"doc_to_text": "Question: {{goal}}\nAnswer:",
|
| 267 |
+
"doc_to_target": "label",
|
| 268 |
+
"doc_to_choice": "{{[sol1, sol2]}}",
|
| 269 |
+
"description": "",
|
| 270 |
+
"target_delimiter": " ",
|
| 271 |
+
"fewshot_delimiter": "\n\n",
|
| 272 |
+
"num_fewshot": 5,
|
| 273 |
+
"metric_list": [
|
| 274 |
+
{
|
| 275 |
+
"metric": "acc",
|
| 276 |
+
"aggregation": "mean",
|
| 277 |
+
"higher_is_better": true
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"metric": "acc_norm",
|
| 281 |
+
"aggregation": "mean",
|
| 282 |
+
"higher_is_better": true
|
| 283 |
+
}
|
| 284 |
+
],
|
| 285 |
+
"output_type": "multiple_choice",
|
| 286 |
+
"repeats": 1,
|
| 287 |
+
"should_decontaminate": true,
|
| 288 |
+
"doc_to_decontamination_query": "goal"
|
| 289 |
+
},
|
| 290 |
+
"sciq": {
|
| 291 |
+
"task": "sciq",
|
| 292 |
+
"group": [
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| 390 |
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| 391 |
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| 392 |
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|
| 393 |
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|
| 394 |
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|
| 395 |
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|
| 396 |
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|
| 406 |
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|
dpo-160m-eval-files/dpo-pythia-160m-0shot/results.json
ADDED
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@@ -0,0 +1,406 @@
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| 1 |
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{
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| 58 |
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| 70 |
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| 71 |
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| 82 |
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| 84 |
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| 85 |
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| 86 |
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"should_decontaminate": true,
|
| 93 |
+
"doc_to_decontamination_query": "Question: {{question}}\nAnswer:"
|
| 94 |
+
},
|
| 95 |
+
"arc_easy": {
|
| 96 |
+
"task": "arc_easy",
|
| 97 |
+
"group": [
|
| 98 |
+
"ai2_arc",
|
| 99 |
+
"multiple_choice"
|
| 100 |
+
],
|
| 101 |
+
"dataset_path": "ai2_arc",
|
| 102 |
+
"dataset_name": "ARC-Easy",
|
| 103 |
+
"training_split": "train",
|
| 104 |
+
"validation_split": "validation",
|
| 105 |
+
"test_split": "test",
|
| 106 |
+
"doc_to_text": "Question: {{question}}\nAnswer:",
|
| 107 |
+
"doc_to_target": "{{choices.label.index(answerKey)}}",
|
| 108 |
+
"doc_to_choice": "{{choices.text}}",
|
| 109 |
+
"description": "",
|
| 110 |
+
"target_delimiter": " ",
|
| 111 |
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"fewshot_delimiter": "\n\n",
|
| 112 |
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"num_fewshot": 0,
|
| 113 |
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"metric_list": [
|
| 114 |
+
{
|
| 115 |
+
"metric": "acc",
|
| 116 |
+
"aggregation": "mean",
|
| 117 |
+
"higher_is_better": true
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"metric": "acc_norm",
|
| 121 |
+
"aggregation": "mean",
|
| 122 |
+
"higher_is_better": true
|
| 123 |
+
}
|
| 124 |
+
],
|
| 125 |
+
"output_type": "multiple_choice",
|
| 126 |
+
"repeats": 1,
|
| 127 |
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"should_decontaminate": true,
|
| 128 |
+
"doc_to_decontamination_query": "Question: {{question}}\nAnswer:"
|
| 129 |
+
},
|
| 130 |
+
"boolq": {
|
| 131 |
+
"task": "boolq",
|
| 132 |
+
"group": [
|
| 133 |
+
"super-glue-lm-eval-v1"
|
| 134 |
+
],
|
| 135 |
+
"dataset_path": "super_glue",
|
| 136 |
+
"dataset_name": "boolq",
|
| 137 |
+
"training_split": "train",
|
| 138 |
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"validation_split": "validation",
|
| 139 |
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"doc_to_text": "{{passage}}\nQuestion: {{question}}?\nAnswer:",
|
| 140 |
+
"doc_to_target": "label",
|
| 141 |
+
"doc_to_choice": [
|
| 142 |
+
"no",
|
| 143 |
+
"yes"
|
| 144 |
+
],
|
| 145 |
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"description": "",
|
| 146 |
+
"target_delimiter": " ",
|
| 147 |
+
"fewshot_delimiter": "\n\n",
|
| 148 |
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"num_fewshot": 0,
|
| 149 |
+
"metric_list": [
|
| 150 |
+
{
|
| 151 |
+
"metric": "acc"
|
| 152 |
+
}
|
| 153 |
+
],
|
| 154 |
+
"output_type": "multiple_choice",
|
| 155 |
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"repeats": 1,
|
| 156 |
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"should_decontaminate": true,
|
| 157 |
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"doc_to_decontamination_query": "passage"
|
| 158 |
+
},
|
| 159 |
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"hellaswag": {
|
| 160 |
+
"task": "hellaswag",
|
| 161 |
+
"group": [
|
| 162 |
+
"multiple_choice"
|
| 163 |
+
],
|
| 164 |
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"dataset_path": "hellaswag",
|
| 165 |
+
"training_split": "train",
|
| 166 |
+
"validation_split": "validation",
|
| 167 |
+
"doc_to_text": "{% set text = activity_label ~ ': ' ~ ctx_a ~ ' ' ~ ctx_b.capitalize() %}{{text|trim|replace(' [title]', '. ')|regex_replace('\\[.*?\\]', '')|replace(' ', ' ')}}",
|
| 168 |
+
"doc_to_target": "{{label}}",
|
| 169 |
+
"doc_to_choice": "{{endings|map('trim')|map('replace', ' [title]', '. ')|map('regex_replace', '\\[.*?\\]', '')|map('replace', ' ', ' ')|list}}",
|
| 170 |
+
"description": "",
|
| 171 |
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"target_delimiter": " ",
|
| 172 |
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"fewshot_delimiter": "\n\n",
|
| 173 |
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"num_fewshot": 0,
|
| 174 |
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"metric_list": [
|
| 175 |
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{
|
| 176 |
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"metric": "acc",
|
| 177 |
+
"aggregation": "mean",
|
| 178 |
+
"higher_is_better": true
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"metric": "acc_norm",
|
| 182 |
+
"aggregation": "mean",
|
| 183 |
+
"higher_is_better": true
|
| 184 |
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}
|
| 185 |
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],
|
| 186 |
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"output_type": "multiple_choice",
|
| 187 |
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"repeats": 1,
|
| 188 |
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"should_decontaminate": false
|
| 189 |
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},
|
| 190 |
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"lambada_openai": {
|
| 191 |
+
"task": "lambada_openai",
|
| 192 |
+
"group": [
|
| 193 |
+
"lambada",
|
| 194 |
+
"loglikelihood",
|
| 195 |
+
"perplexity"
|
| 196 |
+
],
|
| 197 |
+
"dataset_path": "EleutherAI/lambada_openai",
|
| 198 |
+
"dataset_name": "default",
|
| 199 |
+
"test_split": "test",
|
| 200 |
+
"template_aliases": "",
|
| 201 |
+
"doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}",
|
| 202 |
+
"doc_to_target": "{{' '+text.split(' ')[-1]}}",
|
| 203 |
+
"description": "",
|
| 204 |
+
"target_delimiter": " ",
|
| 205 |
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"fewshot_delimiter": "\n\n",
|
| 206 |
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"num_fewshot": 0,
|
| 207 |
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"metric_list": [
|
| 208 |
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{
|
| 209 |
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"metric": "perplexity",
|
| 210 |
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"aggregation": "perplexity",
|
| 211 |
+
"higher_is_better": false
|
| 212 |
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},
|
| 213 |
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{
|
| 214 |
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"metric": "acc",
|
| 215 |
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"aggregation": "mean",
|
| 216 |
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"higher_is_better": true
|
| 217 |
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}
|
| 218 |
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],
|
| 219 |
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"output_type": "loglikelihood",
|
| 220 |
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"repeats": 1,
|
| 221 |
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"should_decontaminate": true,
|
| 222 |
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"doc_to_decontamination_query": "{{text}}"
|
| 223 |
+
},
|
| 224 |
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"openbookqa": {
|
| 225 |
+
"task": "openbookqa",
|
| 226 |
+
"group": [
|
| 227 |
+
"multiple_choice"
|
| 228 |
+
],
|
| 229 |
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"dataset_path": "openbookqa",
|
| 230 |
+
"dataset_name": "main",
|
| 231 |
+
"training_split": "train",
|
| 232 |
+
"validation_split": "validation",
|
| 233 |
+
"test_split": "test",
|
| 234 |
+
"doc_to_text": "question_stem",
|
| 235 |
+
"doc_to_target": "{{choices.label.index(answerKey.lstrip())}}",
|
| 236 |
+
"doc_to_choice": "{{choices.text}}",
|
| 237 |
+
"description": "",
|
| 238 |
+
"target_delimiter": " ",
|
| 239 |
+
"fewshot_delimiter": "\n\n",
|
| 240 |
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"num_fewshot": 0,
|
| 241 |
+
"metric_list": [
|
| 242 |
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{
|
| 243 |
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"metric": "acc",
|
| 244 |
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"aggregation": "mean",
|
| 245 |
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"higher_is_better": true
|
| 246 |
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},
|
| 247 |
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{
|
| 248 |
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"metric": "acc_norm",
|
| 249 |
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"aggregation": "mean",
|
| 250 |
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"higher_is_better": true
|
| 251 |
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}
|
| 252 |
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],
|
| 253 |
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"output_type": "multiple_choice",
|
| 254 |
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"repeats": 1,
|
| 255 |
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"should_decontaminate": true,
|
| 256 |
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"doc_to_decontamination_query": "question_stem"
|
| 257 |
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},
|
| 258 |
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"piqa": {
|
| 259 |
+
"task": "piqa",
|
| 260 |
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"group": [
|
| 261 |
+
"multiple_choice"
|
| 262 |
+
],
|
| 263 |
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"dataset_path": "piqa",
|
| 264 |
+
"training_split": "train",
|
| 265 |
+
"validation_split": "validation",
|
| 266 |
+
"doc_to_text": "Question: {{goal}}\nAnswer:",
|
| 267 |
+
"doc_to_target": "label",
|
| 268 |
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"doc_to_choice": "{{[sol1, sol2]}}",
|
| 269 |
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"description": "",
|
| 270 |
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"target_delimiter": " ",
|
| 271 |
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"fewshot_delimiter": "\n\n",
|
| 272 |
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"num_fewshot": 0,
|
| 273 |
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"metric_list": [
|
| 274 |
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{
|
| 275 |
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"metric": "acc",
|
| 276 |
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"aggregation": "mean",
|
| 277 |
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"higher_is_better": true
|
| 278 |
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},
|
| 279 |
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{
|
| 280 |
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"metric": "acc_norm",
|
| 281 |
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"aggregation": "mean",
|
| 282 |
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"higher_is_better": true
|
| 283 |
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}
|
| 284 |
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],
|
| 285 |
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"output_type": "multiple_choice",
|
| 286 |
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"repeats": 1,
|
| 287 |
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"should_decontaminate": true,
|
| 288 |
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"doc_to_decontamination_query": "goal"
|
| 289 |
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},
|
| 290 |
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"sciq": {
|
| 291 |
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"task": "sciq",
|
| 292 |
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"group": [
|
| 293 |
+
"multiple_choice"
|
| 294 |
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],
|
| 295 |
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"dataset_path": "sciq",
|
| 296 |
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"training_split": "train",
|
| 297 |
+
"validation_split": "validation",
|
| 298 |
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"test_split": "test",
|
| 299 |
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"doc_to_text": "{{support.lstrip()}}\nQuestion: {{question}}\nAnswer:",
|
| 300 |
+
"doc_to_target": 3,
|
| 301 |
+
"doc_to_choice": "{{[distractor1, distractor2, distractor3, correct_answer]}}",
|
| 302 |
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"description": "",
|
| 303 |
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"target_delimiter": " ",
|
| 304 |
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"fewshot_delimiter": "\n\n",
|
| 305 |
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"num_fewshot": 0,
|
| 306 |
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"metric_list": [
|
| 307 |
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{
|
| 308 |
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"metric": "acc",
|
| 309 |
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"aggregation": "mean",
|
| 310 |
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"higher_is_better": true
|
| 311 |
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},
|
| 312 |
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{
|
| 313 |
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"metric": "acc_norm",
|
| 314 |
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"aggregation": "mean",
|
| 315 |
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"higher_is_better": true
|
| 316 |
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}
|
| 317 |
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],
|
| 318 |
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"output_type": "multiple_choice",
|
| 319 |
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"repeats": 1,
|
| 320 |
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"should_decontaminate": true,
|
| 321 |
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"doc_to_decontamination_query": "{{support}} {{question}}"
|
| 322 |
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},
|
| 323 |
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"wikitext": {
|
| 324 |
+
"task": "wikitext",
|
| 325 |
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"group": [
|
| 326 |
+
"perplexity",
|
| 327 |
+
"loglikelihood_rolling"
|
| 328 |
+
],
|
| 329 |
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"dataset_path": "EleutherAI/wikitext_document_level",
|
| 330 |
+
"dataset_name": "wikitext-2-raw-v1",
|
| 331 |
+
"training_split": "train",
|
| 332 |
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"validation_split": "validation",
|
| 333 |
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"test_split": "test",
|
| 334 |
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"template_aliases": "",
|
| 335 |
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"doc_to_text": "",
|
| 336 |
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"doc_to_target": "<function wikitext_detokenizer at 0x7fd1a1c44040>",
|
| 337 |
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"description": "",
|
| 338 |
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"target_delimiter": " ",
|
| 339 |
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"fewshot_delimiter": "\n\n",
|
| 340 |
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"num_fewshot": 0,
|
| 341 |
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"metric_list": [
|
| 342 |
+
{
|
| 343 |
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"metric": "word_perplexity"
|
| 344 |
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},
|
| 345 |
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{
|
| 346 |
+
"metric": "byte_perplexity"
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"metric": "bits_per_byte"
|
| 350 |
+
}
|
| 351 |
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],
|
| 352 |
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"output_type": "loglikelihood_rolling",
|
| 353 |
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"repeats": 1,
|
| 354 |
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"should_decontaminate": true,
|
| 355 |
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"doc_to_decontamination_query": "{{page}}"
|
| 356 |
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},
|
| 357 |
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"winogrande": {
|
| 358 |
+
"task": "winogrande",
|
| 359 |
+
"dataset_path": "winogrande",
|
| 360 |
+
"dataset_name": "winogrande_xl",
|
| 361 |
+
"training_split": "train",
|
| 362 |
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"validation_split": "validation",
|
| 363 |
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"doc_to_text": "<function doc_to_text at 0x7fd1a1c16ef0>",
|
| 364 |
+
"doc_to_target": "<function doc_to_target at 0x7fd1a1c17370>",
|
| 365 |
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"doc_to_choice": "<function doc_to_choice at 0x7fd1a1c175b0>",
|
| 366 |
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"description": "",
|
| 367 |
+
"target_delimiter": " ",
|
| 368 |
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"fewshot_delimiter": "\n\n",
|
| 369 |
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"num_fewshot": 0,
|
| 370 |
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"metric_list": [
|
| 371 |
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{
|
| 372 |
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"metric": "acc",
|
| 373 |
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"aggregation": "mean",
|
| 374 |
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"higher_is_better": true
|
| 375 |
+
}
|
| 376 |
+
],
|
| 377 |
+
"output_type": "multiple_choice",
|
| 378 |
+
"repeats": 1,
|
| 379 |
+
"should_decontaminate": false
|
| 380 |
+
}
|
| 381 |
+
},
|
| 382 |
+
"versions": {
|
| 383 |
+
"arc_challenge": "Yaml",
|
| 384 |
+
"arc_easy": "Yaml",
|
| 385 |
+
"boolq": "Yaml",
|
| 386 |
+
"hellaswag": "Yaml",
|
| 387 |
+
"lambada_openai": "Yaml",
|
| 388 |
+
"openbookqa": "Yaml",
|
| 389 |
+
"piqa": "Yaml",
|
| 390 |
+
"sciq": "Yaml",
|
| 391 |
+
"wikitext": "Yaml",
|
| 392 |
+
"winogrande": "Yaml"
|
| 393 |
+
},
|
| 394 |
+
"config": {
|
| 395 |
+
"model": "hf",
|
| 396 |
+
"model_args": "pretrained=lomahony/eleuther-pythia160m-hh-dpo",
|
| 397 |
+
"num_fewshot": 0,
|
| 398 |
+
"batch_size": 16,
|
| 399 |
+
"batch_sizes": [],
|
| 400 |
+
"device": "cuda:0",
|
| 401 |
+
"use_cache": null,
|
| 402 |
+
"limit": null,
|
| 403 |
+
"bootstrap_iters": 100000
|
| 404 |
+
},
|
| 405 |
+
"git_hash": "4e44f0a"
|
| 406 |
+
}
|
dpo-160m-eval-files/dpo-pythia-160m-5shot/results.json
ADDED
|
@@ -0,0 +1,406 @@
|
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|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"arc_challenge": {
|
| 4 |
+
"acc,none": 0.20563139931740615,
|
| 5 |
+
"acc_stderr,none": 0.011810745260742547,
|
| 6 |
+
"acc_norm,none": 0.24744027303754265,
|
| 7 |
+
"acc_norm_stderr,none": 0.01261035266329267
|
| 8 |
+
},
|
| 9 |
+
"arc_easy": {
|
| 10 |
+
"acc,none": 0.46380471380471383,
|
| 11 |
+
"acc_stderr,none": 0.01023286555034674,
|
| 12 |
+
"acc_norm,none": 0.4385521885521885,
|
| 13 |
+
"acc_norm_stderr,none": 0.010182010275471116
|
| 14 |
+
},
|
| 15 |
+
"boolq": {
|
| 16 |
+
"acc,none": 0.6055045871559633,
|
| 17 |
+
"acc_stderr,none": 0.008548152025770934
|
| 18 |
+
},
|
| 19 |
+
"hellaswag": {
|
| 20 |
+
"acc,none": 0.2885879306910974,
|
| 21 |
+
"acc_stderr,none": 0.004521798577922137,
|
| 22 |
+
"acc_norm,none": 0.3088030272854013,
|
| 23 |
+
"acc_norm_stderr,none": 0.004610554974411229
|
| 24 |
+
},
|
| 25 |
+
"lambada_openai": {
|
| 26 |
+
"perplexity,none": 68.78788187981594,
|
| 27 |
+
"perplexity_stderr,none": 3.3418985414978897,
|
| 28 |
+
"acc,none": 0.2815835435668543,
|
| 29 |
+
"acc_stderr,none": 0.006266194106395877
|
| 30 |
+
},
|
| 31 |
+
"openbookqa": {
|
| 32 |
+
"acc,none": 0.158,
|
| 33 |
+
"acc_stderr,none": 0.01632804980457984,
|
| 34 |
+
"acc_norm,none": 0.254,
|
| 35 |
+
"acc_norm_stderr,none": 0.019486596801643368
|
| 36 |
+
},
|
| 37 |
+
"piqa": {
|
| 38 |
+
"acc,none": 0.6284004352557128,
|
| 39 |
+
"acc_stderr,none": 0.011274603006724757,
|
| 40 |
+
"acc_norm,none": 0.6332970620239391,
|
| 41 |
+
"acc_norm_stderr,none": 0.01124362501903826
|
| 42 |
+
},
|
| 43 |
+
"sciq": {
|
| 44 |
+
"acc,none": 0.76,
|
| 45 |
+
"acc_stderr,none": 0.013512312258920836,
|
| 46 |
+
"acc_norm,none": 0.737,
|
| 47 |
+
"acc_norm_stderr,none": 0.013929286594259724
|
| 48 |
+
},
|
| 49 |
+
"wikitext": {
|
| 50 |
+
"word_perplexity,none": 75.24993841350984,
|
| 51 |
+
"byte_perplexity,none": 2.0386909133746456,
|
| 52 |
+
"bits_per_byte,none": 1.0276430644458452
|
| 53 |
+
},
|
| 54 |
+
"winogrande": {
|
| 55 |
+
"acc,none": 0.5138121546961326,
|
| 56 |
+
"acc_stderr,none": 0.014047122916440419
|
| 57 |
+
}
|
| 58 |
+
},
|
| 59 |
+
"configs": {
|
| 60 |
+
"arc_challenge": {
|
| 61 |
+
"task": "arc_challenge",
|
| 62 |
+
"group": [
|
| 63 |
+
"ai2_arc",
|
| 64 |
+
"multiple_choice"
|
| 65 |
+
],
|
| 66 |
+
"dataset_path": "ai2_arc",
|
| 67 |
+
"dataset_name": "ARC-Challenge",
|
| 68 |
+
"training_split": "train",
|
| 69 |
+
"validation_split": "validation",
|
| 70 |
+
"test_split": "test",
|
| 71 |
+
"doc_to_text": "Question: {{question}}\nAnswer:",
|
| 72 |
+
"doc_to_target": "{{choices.label.index(answerKey)}}",
|
| 73 |
+
"doc_to_choice": "{{choices.text}}",
|
| 74 |
+
"description": "",
|
| 75 |
+
"target_delimiter": " ",
|
| 76 |
+
"fewshot_delimiter": "\n\n",
|
| 77 |
+
"num_fewshot": 5,
|
| 78 |
+
"metric_list": [
|
| 79 |
+
{
|
| 80 |
+
"metric": "acc",
|
| 81 |
+
"aggregation": "mean",
|
| 82 |
+
"higher_is_better": true
|
| 83 |
+
},
|
| 84 |
+
{
|
| 85 |
+
"metric": "acc_norm",
|
| 86 |
+
"aggregation": "mean",
|
| 87 |
+
"higher_is_better": true
|
| 88 |
+
}
|
| 89 |
+
],
|
| 90 |
+
"output_type": "multiple_choice",
|
| 91 |
+
"repeats": 1,
|
| 92 |
+
"should_decontaminate": true,
|
| 93 |
+
"doc_to_decontamination_query": "Question: {{question}}\nAnswer:"
|
| 94 |
+
},
|
| 95 |
+
"arc_easy": {
|
| 96 |
+
"task": "arc_easy",
|
| 97 |
+
"group": [
|
| 98 |
+
"ai2_arc",
|
| 99 |
+
"multiple_choice"
|
| 100 |
+
],
|
| 101 |
+
"dataset_path": "ai2_arc",
|
| 102 |
+
"dataset_name": "ARC-Easy",
|
| 103 |
+
"training_split": "train",
|
| 104 |
+
"validation_split": "validation",
|
| 105 |
+
"test_split": "test",
|
| 106 |
+
"doc_to_text": "Question: {{question}}\nAnswer:",
|
| 107 |
+
"doc_to_target": "{{choices.label.index(answerKey)}}",
|
| 108 |
+
"doc_to_choice": "{{choices.text}}",
|
| 109 |
+
"description": "",
|
| 110 |
+
"target_delimiter": " ",
|
| 111 |
+
"fewshot_delimiter": "\n\n",
|
| 112 |
+
"num_fewshot": 5,
|
| 113 |
+
"metric_list": [
|
| 114 |
+
{
|
| 115 |
+
"metric": "acc",
|
| 116 |
+
"aggregation": "mean",
|
| 117 |
+
"higher_is_better": true
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"metric": "acc_norm",
|
| 121 |
+
"aggregation": "mean",
|
| 122 |
+
"higher_is_better": true
|
| 123 |
+
}
|
| 124 |
+
],
|
| 125 |
+
"output_type": "multiple_choice",
|
| 126 |
+
"repeats": 1,
|
| 127 |
+
"should_decontaminate": true,
|
| 128 |
+
"doc_to_decontamination_query": "Question: {{question}}\nAnswer:"
|
| 129 |
+
},
|
| 130 |
+
"boolq": {
|
| 131 |
+
"task": "boolq",
|
| 132 |
+
"group": [
|
| 133 |
+
"super-glue-lm-eval-v1"
|
| 134 |
+
],
|
| 135 |
+
"dataset_path": "super_glue",
|
| 136 |
+
"dataset_name": "boolq",
|
| 137 |
+
"training_split": "train",
|
| 138 |
+
"validation_split": "validation",
|
| 139 |
+
"doc_to_text": "{{passage}}\nQuestion: {{question}}?\nAnswer:",
|
| 140 |
+
"doc_to_target": "label",
|
| 141 |
+
"doc_to_choice": [
|
| 142 |
+
"no",
|
| 143 |
+
"yes"
|
| 144 |
+
],
|
| 145 |
+
"description": "",
|
| 146 |
+
"target_delimiter": " ",
|
| 147 |
+
"fewshot_delimiter": "\n\n",
|
| 148 |
+
"num_fewshot": 5,
|
| 149 |
+
"metric_list": [
|
| 150 |
+
{
|
| 151 |
+
"metric": "acc"
|
| 152 |
+
}
|
| 153 |
+
],
|
| 154 |
+
"output_type": "multiple_choice",
|
| 155 |
+
"repeats": 1,
|
| 156 |
+
"should_decontaminate": true,
|
| 157 |
+
"doc_to_decontamination_query": "passage"
|
| 158 |
+
},
|
| 159 |
+
"hellaswag": {
|
| 160 |
+
"task": "hellaswag",
|
| 161 |
+
"group": [
|
| 162 |
+
"multiple_choice"
|
| 163 |
+
],
|
| 164 |
+
"dataset_path": "hellaswag",
|
| 165 |
+
"training_split": "train",
|
| 166 |
+
"validation_split": "validation",
|
| 167 |
+
"doc_to_text": "{% set text = activity_label ~ ': ' ~ ctx_a ~ ' ' ~ ctx_b.capitalize() %}{{text|trim|replace(' [title]', '. ')|regex_replace('\\[.*?\\]', '')|replace(' ', ' ')}}",
|
| 168 |
+
"doc_to_target": "{{label}}",
|
| 169 |
+
"doc_to_choice": "{{endings|map('trim')|map('replace', ' [title]', '. ')|map('regex_replace', '\\[.*?\\]', '')|map('replace', ' ', ' ')|list}}",
|
| 170 |
+
"description": "",
|
| 171 |
+
"target_delimiter": " ",
|
| 172 |
+
"fewshot_delimiter": "\n\n",
|
| 173 |
+
"num_fewshot": 5,
|
| 174 |
+
"metric_list": [
|
| 175 |
+
{
|
| 176 |
+
"metric": "acc",
|
| 177 |
+
"aggregation": "mean",
|
| 178 |
+
"higher_is_better": true
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"metric": "acc_norm",
|
| 182 |
+
"aggregation": "mean",
|
| 183 |
+
"higher_is_better": true
|
| 184 |
+
}
|
| 185 |
+
],
|
| 186 |
+
"output_type": "multiple_choice",
|
| 187 |
+
"repeats": 1,
|
| 188 |
+
"should_decontaminate": false
|
| 189 |
+
},
|
| 190 |
+
"lambada_openai": {
|
| 191 |
+
"task": "lambada_openai",
|
| 192 |
+
"group": [
|
| 193 |
+
"lambada",
|
| 194 |
+
"loglikelihood",
|
| 195 |
+
"perplexity"
|
| 196 |
+
],
|
| 197 |
+
"dataset_path": "EleutherAI/lambada_openai",
|
| 198 |
+
"dataset_name": "default",
|
| 199 |
+
"test_split": "test",
|
| 200 |
+
"template_aliases": "",
|
| 201 |
+
"doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}",
|
| 202 |
+
"doc_to_target": "{{' '+text.split(' ')[-1]}}",
|
| 203 |
+
"description": "",
|
| 204 |
+
"target_delimiter": " ",
|
| 205 |
+
"fewshot_delimiter": "\n\n",
|
| 206 |
+
"num_fewshot": 5,
|
| 207 |
+
"metric_list": [
|
| 208 |
+
{
|
| 209 |
+
"metric": "perplexity",
|
| 210 |
+
"aggregation": "perplexity",
|
| 211 |
+
"higher_is_better": false
|
| 212 |
+
},
|
| 213 |
+
{
|
| 214 |
+
"metric": "acc",
|
| 215 |
+
"aggregation": "mean",
|
| 216 |
+
"higher_is_better": true
|
| 217 |
+
}
|
| 218 |
+
],
|
| 219 |
+
"output_type": "loglikelihood",
|
| 220 |
+
"repeats": 1,
|
| 221 |
+
"should_decontaminate": true,
|
| 222 |
+
"doc_to_decontamination_query": "{{text}}"
|
| 223 |
+
},
|
| 224 |
+
"openbookqa": {
|
| 225 |
+
"task": "openbookqa",
|
| 226 |
+
"group": [
|
| 227 |
+
"multiple_choice"
|
| 228 |
+
],
|
| 229 |
+
"dataset_path": "openbookqa",
|
| 230 |
+
"dataset_name": "main",
|
| 231 |
+
"training_split": "train",
|
| 232 |
+
"validation_split": "validation",
|
| 233 |
+
"test_split": "test",
|
| 234 |
+
"doc_to_text": "question_stem",
|
| 235 |
+
"doc_to_target": "{{choices.label.index(answerKey.lstrip())}}",
|
| 236 |
+
"doc_to_choice": "{{choices.text}}",
|
| 237 |
+
"description": "",
|
| 238 |
+
"target_delimiter": " ",
|
| 239 |
+
"fewshot_delimiter": "\n\n",
|
| 240 |
+
"num_fewshot": 5,
|
| 241 |
+
"metric_list": [
|
| 242 |
+
{
|
| 243 |
+
"metric": "acc",
|
| 244 |
+
"aggregation": "mean",
|
| 245 |
+
"higher_is_better": true
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"metric": "acc_norm",
|
| 249 |
+
"aggregation": "mean",
|
| 250 |
+
"higher_is_better": true
|
| 251 |
+
}
|
| 252 |
+
],
|
| 253 |
+
"output_type": "multiple_choice",
|
| 254 |
+
"repeats": 1,
|
| 255 |
+
"should_decontaminate": true,
|
| 256 |
+
"doc_to_decontamination_query": "question_stem"
|
| 257 |
+
},
|
| 258 |
+
"piqa": {
|
| 259 |
+
"task": "piqa",
|
| 260 |
+
"group": [
|
| 261 |
+
"multiple_choice"
|
| 262 |
+
],
|
| 263 |
+
"dataset_path": "piqa",
|
| 264 |
+
"training_split": "train",
|
| 265 |
+
"validation_split": "validation",
|
| 266 |
+
"doc_to_text": "Question: {{goal}}\nAnswer:",
|
| 267 |
+
"doc_to_target": "label",
|
| 268 |
+
"doc_to_choice": "{{[sol1, sol2]}}",
|
| 269 |
+
"description": "",
|
| 270 |
+
"target_delimiter": " ",
|
| 271 |
+
"fewshot_delimiter": "\n\n",
|
| 272 |
+
"num_fewshot": 5,
|
| 273 |
+
"metric_list": [
|
| 274 |
+
{
|
| 275 |
+
"metric": "acc",
|
| 276 |
+
"aggregation": "mean",
|
| 277 |
+
"higher_is_better": true
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"metric": "acc_norm",
|
| 281 |
+
"aggregation": "mean",
|
| 282 |
+
"higher_is_better": true
|
| 283 |
+
}
|
| 284 |
+
],
|
| 285 |
+
"output_type": "multiple_choice",
|
| 286 |
+
"repeats": 1,
|
| 287 |
+
"should_decontaminate": true,
|
| 288 |
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"doc_to_decontamination_query": "goal"
|
| 289 |
+
},
|
| 290 |
+
"sciq": {
|
| 291 |
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"task": "sciq",
|
| 292 |
+
"group": [
|
| 293 |
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"multiple_choice"
|
| 294 |
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],
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| 295 |
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"dataset_path": "sciq",
|
| 296 |
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"training_split": "train",
|
| 297 |
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"validation_split": "validation",
|
| 298 |
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"test_split": "test",
|
| 299 |
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"doc_to_text": "{{support.lstrip()}}\nQuestion: {{question}}\nAnswer:",
|
| 300 |
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"doc_to_target": 3,
|
| 301 |
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"doc_to_choice": "{{[distractor1, distractor2, distractor3, correct_answer]}}",
|
| 302 |
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"description": "",
|
| 303 |
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"target_delimiter": " ",
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| 304 |
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"fewshot_delimiter": "\n\n",
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| 305 |
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"num_fewshot": 5,
|
| 306 |
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"metric_list": [
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| 307 |
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{
|
| 308 |
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"metric": "acc",
|
| 309 |
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| 310 |
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"higher_is_better": true
|
| 311 |
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},
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| 312 |
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{
|
| 313 |
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"metric": "acc_norm",
|
| 314 |
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"aggregation": "mean",
|
| 315 |
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"higher_is_better": true
|
| 316 |
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}
|
| 317 |
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],
|
| 318 |
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"output_type": "multiple_choice",
|
| 319 |
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|
| 320 |
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"should_decontaminate": true,
|
| 321 |
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"doc_to_decontamination_query": "{{support}} {{question}}"
|
| 322 |
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},
|
| 323 |
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"wikitext": {
|
| 324 |
+
"task": "wikitext",
|
| 325 |
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"group": [
|
| 326 |
+
"perplexity",
|
| 327 |
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"loglikelihood_rolling"
|
| 328 |
+
],
|
| 329 |
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"dataset_path": "EleutherAI/wikitext_document_level",
|
| 330 |
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"dataset_name": "wikitext-2-raw-v1",
|
| 331 |
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"training_split": "train",
|
| 332 |
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"validation_split": "validation",
|
| 333 |
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"test_split": "test",
|
| 334 |
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"template_aliases": "",
|
| 335 |
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"doc_to_text": "",
|
| 336 |
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"doc_to_target": "<function wikitext_detokenizer at 0x7ff6ce1e4040>",
|
| 337 |
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"description": "",
|
| 338 |
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|
| 339 |
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|
| 340 |
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"num_fewshot": 5,
|
| 341 |
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"metric_list": [
|
| 342 |
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{
|
| 343 |
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"metric": "word_perplexity"
|
| 344 |
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},
|
| 345 |
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{
|
| 346 |
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"metric": "byte_perplexity"
|
| 347 |
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},
|
| 348 |
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{
|
| 349 |
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"metric": "bits_per_byte"
|
| 350 |
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}
|
| 351 |
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],
|
| 352 |
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"output_type": "loglikelihood_rolling",
|
| 353 |
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|
| 354 |
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"should_decontaminate": true,
|
| 355 |
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"doc_to_decontamination_query": "{{page}}"
|
| 356 |
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},
|
| 357 |
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"winogrande": {
|
| 358 |
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"task": "winogrande",
|
| 359 |
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"dataset_path": "winogrande",
|
| 360 |
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"dataset_name": "winogrande_xl",
|
| 361 |
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"training_split": "train",
|
| 362 |
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"validation_split": "validation",
|
| 363 |
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"doc_to_text": "<function doc_to_text at 0x7ff6ce1b6ef0>",
|
| 364 |
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"doc_to_target": "<function doc_to_target at 0x7ff6ce1b7370>",
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| 365 |
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"doc_to_choice": "<function doc_to_choice at 0x7ff6ce1b75b0>",
|
| 366 |
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"description": "",
|
| 367 |
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"target_delimiter": " ",
|
| 368 |
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"fewshot_delimiter": "\n\n",
|
| 369 |
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|
| 370 |
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"metric_list": [
|
| 371 |
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{
|
| 372 |
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"metric": "acc",
|
| 373 |
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|
| 374 |
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"higher_is_better": true
|
| 375 |
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}
|
| 376 |
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],
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| 377 |
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"output_type": "multiple_choice",
|
| 378 |
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|
| 379 |
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"should_decontaminate": false
|
| 380 |
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}
|
| 381 |
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},
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| 382 |
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"versions": {
|
| 383 |
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"arc_challenge": "Yaml",
|
| 384 |
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"arc_easy": "Yaml",
|
| 385 |
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"boolq": "Yaml",
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| 386 |
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"hellaswag": "Yaml",
|
| 387 |
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"lambada_openai": "Yaml",
|
| 388 |
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"openbookqa": "Yaml",
|
| 389 |
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"piqa": "Yaml",
|
| 390 |
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"sciq": "Yaml",
|
| 391 |
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"wikitext": "Yaml",
|
| 392 |
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"winogrande": "Yaml"
|
| 393 |
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},
|
| 394 |
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"config": {
|
| 395 |
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"model": "hf",
|
| 396 |
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"model_args": "pretrained=lomahony/eleuther-pythia160m-hh-dpo",
|
| 397 |
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"num_fewshot": 5,
|
| 398 |
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"batch_size": 16,
|
| 399 |
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"batch_sizes": [],
|
| 400 |
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"device": "cuda:0",
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"limit": null,
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"bootstrap_iters": 100000
|
| 404 |
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},
|
| 405 |
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"git_hash": "4e44f0a"
|
| 406 |
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}
|