Upload 8 files
Browse files- base-70m-eval-files/EleutherAI-pythia-70m-0shot-shelloutput.txt +430 -0
- base-70m-eval-files/EleutherAI-pythia-70m-0shot/results.json +406 -0
- base-70m-eval-files/EleutherAI-pythia-70m-5shot-shelloutput.txt +430 -0
- base-70m-eval-files/EleutherAI-pythia-70m-5shot/results.json +406 -0
- sft-70m-eval-files/sft-pythia-70m-0shot-shelloutput.txt +430 -0
- sft-70m-eval-files/sft-pythia-70m-0shot/results.json +406 -0
- sft-70m-eval-files/sft-pythia-70m-5shot-shelloutput.txt +430 -0
- sft-70m-eval-files/sft-pythia-70m-5shot/results.json +406 -0
base-70m-eval-files/EleutherAI-pythia-70m-0shot-shelloutput.txt
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|
| 1 |
+
bootstrapping for stddev: perplexity
|
| 2 |
+
{
|
| 3 |
+
"results": {
|
| 4 |
+
"arc_challenge": {
|
| 5 |
+
"acc,none": 0.1757679180887372,
|
| 6 |
+
"acc_stderr,none": 0.011122850863120485,
|
| 7 |
+
"acc_norm,none": 0.21843003412969283,
|
| 8 |
+
"acc_norm_stderr,none": 0.012074291605700975
|
| 9 |
+
},
|
| 10 |
+
"arc_easy": {
|
| 11 |
+
"acc,none": 0.37542087542087543,
|
| 12 |
+
"acc_stderr,none": 0.00993621852711428,
|
| 13 |
+
"acc_norm,none": 0.3522727272727273,
|
| 14 |
+
"acc_norm_stderr,none": 0.009801753933112785
|
| 15 |
+
},
|
| 16 |
+
"boolq": {
|
| 17 |
+
"acc,none": 0.5886850152905199,
|
| 18 |
+
"acc_stderr,none": 0.00860639542630921
|
| 19 |
+
},
|
| 20 |
+
"hellaswag": {
|
| 21 |
+
"acc,none": 0.2666799442342163,
|
| 22 |
+
"acc_stderr,none": 0.004413198640053973,
|
| 23 |
+
"acc_norm,none": 0.27384983071101376,
|
| 24 |
+
"acc_norm_stderr,none": 0.004450214826707207
|
| 25 |
+
},
|
| 26 |
+
"lambada_openai": {
|
| 27 |
+
"perplexity,none": 130.96389727138103,
|
| 28 |
+
"perplexity_stderr,none": 5.501211486155379,
|
| 29 |
+
"acc,none": 0.22705220260042694,
|
| 30 |
+
"acc_stderr,none": 0.005836466732850104
|
| 31 |
+
},
|
| 32 |
+
"openbookqa": {
|
| 33 |
+
"acc,none": 0.126,
|
| 34 |
+
"acc_stderr,none": 0.014855617750787541,
|
| 35 |
+
"acc_norm,none": 0.254,
|
| 36 |
+
"acc_norm_stderr,none": 0.01948659680164337
|
| 37 |
+
},
|
| 38 |
+
"piqa": {
|
| 39 |
+
"acc,none": 0.5984766050054406,
|
| 40 |
+
"acc_stderr,none": 0.011437324373397844,
|
| 41 |
+
"acc_norm,none": 0.5919477693144722,
|
| 42 |
+
"acc_norm_stderr,none": 0.011466872778651264
|
| 43 |
+
},
|
| 44 |
+
"sciq": {
|
| 45 |
+
"acc,none": 0.64,
|
| 46 |
+
"acc_stderr,none": 0.015186527932040117,
|
| 47 |
+
"acc_norm,none": 0.564,
|
| 48 |
+
"acc_norm_stderr,none": 0.015689173023144064
|
| 49 |
+
},
|
| 50 |
+
"wikitext": {
|
| 51 |
+
"word_perplexity,none": 112.6458354552029,
|
| 52 |
+
"byte_perplexity,none": 2.1788907860475493,
|
| 53 |
+
"bits_per_byte,none": 1.1235938851292067
|
| 54 |
+
},
|
| 55 |
+
"winogrande": {
|
| 56 |
+
"acc,none": 0.5295974743488555,
|
| 57 |
+
"acc_stderr,none": 0.014027843827840085
|
| 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 0x7f8221504040>",
|
| 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 0x7f82214d6ef0>",
|
| 365 |
+
"doc_to_target": "<function doc_to_target at 0x7f82214d7370>",
|
| 366 |
+
"doc_to_choice": "<function doc_to_choice at 0x7f82214d75b0>",
|
| 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-70m",
|
| 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-70m), limit: None, num_fewshot: 0, batch_size: 16
|
| 409 |
+
| Task |Version|Filter| Metric | Value | |Stderr|
|
| 410 |
+
|--------------|-------|------|---------------|-------:|---|-----:|
|
| 411 |
+
|arc_challenge |Yaml |none |acc | 0.1758|± |0.0111|
|
| 412 |
+
| | |none |acc_norm | 0.2184|± |0.0121|
|
| 413 |
+
|arc_easy |Yaml |none |acc | 0.3754|± |0.0099|
|
| 414 |
+
| | |none |acc_norm | 0.3523|± |0.0098|
|
| 415 |
+
|boolq |Yaml |none |acc | 0.5887|± |0.0086|
|
| 416 |
+
|hellaswag |Yaml |none |acc | 0.2667|± |0.0044|
|
| 417 |
+
| | |none |acc_norm | 0.2738|± |0.0045|
|
| 418 |
+
|lambada_openai|Yaml |none |perplexity |130.9639|± |5.5012|
|
| 419 |
+
| | |none |acc | 0.2271|± |0.0058|
|
| 420 |
+
|openbookqa |Yaml |none |acc | 0.1260|± |0.0149|
|
| 421 |
+
| | |none |acc_norm | 0.2540|± |0.0195|
|
| 422 |
+
|piqa |Yaml |none |acc | 0.5985|± |0.0114|
|
| 423 |
+
| | |none |acc_norm | 0.5919|± |0.0115|
|
| 424 |
+
|sciq |Yaml |none |acc | 0.6400|± |0.0152|
|
| 425 |
+
| | |none |acc_norm | 0.5640|± |0.0157|
|
| 426 |
+
|wikitext |Yaml |none |word_perplexity|112.6458| | |
|
| 427 |
+
| | |none |byte_perplexity| 2.1789| | |
|
| 428 |
+
| | |none |bits_per_byte | 1.1236| | |
|
| 429 |
+
|winogrande |Yaml |none |acc | 0.5296|± |0.0140|
|
| 430 |
+
|
base-70m-eval-files/EleutherAI-pythia-70m-0shot/results.json
ADDED
|
@@ -0,0 +1,406 @@
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|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"arc_challenge": {
|
| 4 |
+
"acc,none": 0.1757679180887372,
|
| 5 |
+
"acc_stderr,none": 0.011122850863120485,
|
| 6 |
+
"acc_norm,none": 0.21843003412969283,
|
| 7 |
+
"acc_norm_stderr,none": 0.012074291605700975
|
| 8 |
+
},
|
| 9 |
+
"arc_easy": {
|
| 10 |
+
"acc,none": 0.37542087542087543,
|
| 11 |
+
"acc_stderr,none": 0.00993621852711428,
|
| 12 |
+
"acc_norm,none": 0.3522727272727273,
|
| 13 |
+
"acc_norm_stderr,none": 0.009801753933112785
|
| 14 |
+
},
|
| 15 |
+
"boolq": {
|
| 16 |
+
"acc,none": 0.5886850152905199,
|
| 17 |
+
"acc_stderr,none": 0.00860639542630921
|
| 18 |
+
},
|
| 19 |
+
"hellaswag": {
|
| 20 |
+
"acc,none": 0.2666799442342163,
|
| 21 |
+
"acc_stderr,none": 0.004413198640053973,
|
| 22 |
+
"acc_norm,none": 0.27384983071101376,
|
| 23 |
+
"acc_norm_stderr,none": 0.004450214826707207
|
| 24 |
+
},
|
| 25 |
+
"lambada_openai": {
|
| 26 |
+
"perplexity,none": 130.96389727138103,
|
| 27 |
+
"perplexity_stderr,none": 5.501211486155379,
|
| 28 |
+
"acc,none": 0.22705220260042694,
|
| 29 |
+
"acc_stderr,none": 0.005836466732850104
|
| 30 |
+
},
|
| 31 |
+
"openbookqa": {
|
| 32 |
+
"acc,none": 0.126,
|
| 33 |
+
"acc_stderr,none": 0.014855617750787541,
|
| 34 |
+
"acc_norm,none": 0.254,
|
| 35 |
+
"acc_norm_stderr,none": 0.01948659680164337
|
| 36 |
+
},
|
| 37 |
+
"piqa": {
|
| 38 |
+
"acc,none": 0.5984766050054406,
|
| 39 |
+
"acc_stderr,none": 0.011437324373397844,
|
| 40 |
+
"acc_norm,none": 0.5919477693144722,
|
| 41 |
+
"acc_norm_stderr,none": 0.011466872778651264
|
| 42 |
+
},
|
| 43 |
+
"sciq": {
|
| 44 |
+
"acc,none": 0.64,
|
| 45 |
+
"acc_stderr,none": 0.015186527932040117,
|
| 46 |
+
"acc_norm,none": 0.564,
|
| 47 |
+
"acc_norm_stderr,none": 0.015689173023144064
|
| 48 |
+
},
|
| 49 |
+
"wikitext": {
|
| 50 |
+
"word_perplexity,none": 112.6458354552029,
|
| 51 |
+
"byte_perplexity,none": 2.1788907860475493,
|
| 52 |
+
"bits_per_byte,none": 1.1235938851292067
|
| 53 |
+
},
|
| 54 |
+
"winogrande": {
|
| 55 |
+
"acc,none": 0.5295974743488555,
|
| 56 |
+
"acc_stderr,none": 0.014027843827840085
|
| 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 0x7f8221504040>",
|
| 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 |
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"should_decontaminate": true,
|
| 355 |
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"doc_to_decontamination_query": "{{page}}"
|
| 356 |
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},
|
| 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 0x7f82214d6ef0>",
|
| 364 |
+
"doc_to_target": "<function doc_to_target at 0x7f82214d7370>",
|
| 365 |
+
"doc_to_choice": "<function doc_to_choice at 0x7f82214d75b0>",
|
| 366 |
+
"description": "",
|
| 367 |
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"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 |
+
"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-70m",
|
| 397 |
+
"num_fewshot": 0,
|
| 398 |
+
"batch_size": 16,
|
| 399 |
+
"batch_sizes": [],
|
| 400 |
+
"device": "cuda:0",
|
| 401 |
+
"use_cache": null,
|
| 402 |
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"limit": null,
|
| 403 |
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"bootstrap_iters": 100000
|
| 404 |
+
},
|
| 405 |
+
"git_hash": "4e44f0a"
|
| 406 |
+
}
|
base-70m-eval-files/EleutherAI-pythia-70m-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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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
bootstrapping for stddev: perplexity
|
| 2 |
+
{
|
| 3 |
+
"results": {
|
| 4 |
+
"arc_challenge": {
|
| 5 |
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"acc,none": 0.16723549488054607,
|
| 6 |
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"acc_stderr,none": 0.010905532724601189,
|
| 7 |
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"acc_norm,none": 0.2090443686006826,
|
| 8 |
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"acc_norm_stderr,none": 0.011882746987406444
|
| 9 |
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},
|
| 10 |
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"arc_easy": {
|
| 11 |
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"acc,none": 0.367003367003367,
|
| 12 |
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"acc_stderr,none": 0.009890173658452116,
|
| 13 |
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"acc_norm,none": 0.3581649831649832,
|
| 14 |
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"acc_norm_stderr,none": 0.009838331651451848
|
| 15 |
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},
|
| 16 |
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"boolq": {
|
| 17 |
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"acc,none": 0.5480122324159021,
|
| 18 |
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"acc_stderr,none": 0.008704643851177517
|
| 19 |
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},
|
| 20 |
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"hellaswag": {
|
| 21 |
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"acc,none": 0.26598287193786097,
|
| 22 |
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"acc_stderr,none": 0.004409521343140176,
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| 23 |
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"acc_norm,none": 0.2747460665206134,
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| 24 |
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"acc_norm_stderr,none": 0.004454739415705064
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| 25 |
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},
|
| 26 |
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"lambada_openai": {
|
| 27 |
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"perplexity,none": 300.2755221103115,
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| 28 |
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"perplexity_stderr,none": 12.327724137522168,
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| 29 |
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"acc,none": 0.14341160489035512,
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| 30 |
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"acc_stderr,none": 0.004883040360919453
|
| 31 |
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},
|
| 32 |
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"openbookqa": {
|
| 33 |
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"acc,none": 0.144,
|
| 34 |
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"acc_stderr,none": 0.015716934945725767,
|
| 35 |
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"acc_norm,none": 0.244,
|
| 36 |
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"acc_norm_stderr,none": 0.01922673489361458
|
| 37 |
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},
|
| 38 |
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"piqa": {
|
| 39 |
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"acc,none": 0.5875952121871599,
|
| 40 |
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"acc_stderr,none": 0.011485407152743137,
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| 41 |
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"acc_norm,none": 0.588139281828074,
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| 42 |
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"acc_norm_stderr,none": 0.011483141106304395
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| 43 |
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},
|
| 44 |
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"sciq": {
|
| 45 |
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|
| 46 |
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| 47 |
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"acc_norm,none": 0.589,
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| 48 |
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"acc_norm_stderr,none": 0.01556667341859927
|
| 49 |
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},
|
| 50 |
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"wikitext": {
|
| 51 |
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"word_perplexity,none": 112.6458354552029,
|
| 52 |
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"byte_perplexity,none": 2.1788907860475493,
|
| 53 |
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"bits_per_byte,none": 1.1235938851292067
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| 54 |
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},
|
| 55 |
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"winogrande": {
|
| 56 |
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"acc,none": 0.5295974743488555,
|
| 57 |
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"acc_stderr,none": 0.014027843827840085
|
| 58 |
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}
|
| 59 |
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},
|
| 60 |
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"configs": {
|
| 61 |
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"arc_challenge": {
|
| 62 |
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"task": "arc_challenge",
|
| 63 |
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"group": [
|
| 64 |
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"ai2_arc",
|
| 65 |
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"multiple_choice"
|
| 66 |
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],
|
| 67 |
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"dataset_path": "ai2_arc",
|
| 68 |
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"dataset_name": "ARC-Challenge",
|
| 69 |
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"training_split": "train",
|
| 70 |
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"validation_split": "validation",
|
| 71 |
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"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 |
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"doc_to_choice": "{{choices.text}}",
|
| 75 |
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"description": "",
|
| 76 |
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"target_delimiter": " ",
|
| 77 |
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"fewshot_delimiter": "\n\n",
|
| 78 |
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|
| 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 |
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{
|
| 86 |
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"metric": "acc_norm",
|
| 87 |
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"aggregation": "mean",
|
| 88 |
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"higher_is_better": true
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| 89 |
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}
|
| 90 |
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],
|
| 91 |
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"output_type": "multiple_choice",
|
| 92 |
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"repeats": 1,
|
| 93 |
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"should_decontaminate": true,
|
| 94 |
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"doc_to_decontamination_query": "Question: {{question}}\nAnswer:"
|
| 95 |
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},
|
| 96 |
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"arc_easy": {
|
| 97 |
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"task": "arc_easy",
|
| 98 |
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"group": [
|
| 99 |
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"ai2_arc",
|
| 100 |
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"multiple_choice"
|
| 101 |
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],
|
| 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",
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| 106 |
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"test_split": "test",
|
| 107 |
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"doc_to_text": "Question: {{question}}\nAnswer:",
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| 108 |
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"doc_to_target": "{{choices.label.index(answerKey)}}",
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| 109 |
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"doc_to_choice": "{{choices.text}}",
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| 110 |
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"description": "",
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| 111 |
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"target_delimiter": " ",
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| 112 |
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| 113 |
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"num_fewshot": 5,
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| 114 |
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"metric_list": [
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| 115 |
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{
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| 116 |
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"metric": "acc",
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| 117 |
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"aggregation": "mean",
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| 118 |
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"higher_is_better": true
|
| 119 |
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},
|
| 120 |
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{
|
| 121 |
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"metric": "acc_norm",
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| 122 |
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"aggregation": "mean",
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| 123 |
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"higher_is_better": true
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| 124 |
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}
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| 125 |
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],
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| 126 |
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"output_type": "multiple_choice",
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| 127 |
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"repeats": 1,
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| 128 |
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"should_decontaminate": true,
|
| 129 |
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"doc_to_decontamination_query": "Question: {{question}}\nAnswer:"
|
| 130 |
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},
|
| 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": 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 0x7fa6ad108040>",
|
| 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 0x7fa6ad0daef0>",
|
| 365 |
+
"doc_to_target": "<function doc_to_target at 0x7fa6ad0db370>",
|
| 366 |
+
"doc_to_choice": "<function doc_to_choice at 0x7fa6ad0db5b0>",
|
| 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-70m",
|
| 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-70m), limit: None, num_fewshot: 5, batch_size: 16
|
| 409 |
+
| Task |Version|Filter| Metric | Value | |Stderr |
|
| 410 |
+
|--------------|-------|------|---------------|-------:|---|------:|
|
| 411 |
+
|arc_challenge |Yaml |none |acc | 0.1672|± | 0.0109|
|
| 412 |
+
| | |none |acc_norm | 0.2090|± | 0.0119|
|
| 413 |
+
|arc_easy |Yaml |none |acc | 0.3670|± | 0.0099|
|
| 414 |
+
| | |none |acc_norm | 0.3582|± | 0.0098|
|
| 415 |
+
|boolq |Yaml |none |acc | 0.5480|± | 0.0087|
|
| 416 |
+
|hellaswag |Yaml |none |acc | 0.2660|± | 0.0044|
|
| 417 |
+
| | |none |acc_norm | 0.2747|± | 0.0045|
|
| 418 |
+
|lambada_openai|Yaml |none |perplexity |300.2755|± |12.3277|
|
| 419 |
+
| | |none |acc | 0.1434|± | 0.0049|
|
| 420 |
+
|openbookqa |Yaml |none |acc | 0.1440|± | 0.0157|
|
| 421 |
+
| | |none |acc_norm | 0.2440|± | 0.0192|
|
| 422 |
+
|piqa |Yaml |none |acc | 0.5876|± | 0.0115|
|
| 423 |
+
| | |none |acc_norm | 0.5881|± | 0.0115|
|
| 424 |
+
|sciq |Yaml |none |acc | 0.6220|± | 0.0153|
|
| 425 |
+
| | |none |acc_norm | 0.5890|± | 0.0156|
|
| 426 |
+
|wikitext |Yaml |none |word_perplexity|112.6458| | |
|
| 427 |
+
| | |none |byte_perplexity| 2.1789| | |
|
| 428 |
+
| | |none |bits_per_byte | 1.1236| | |
|
| 429 |
+
|winogrande |Yaml |none |acc | 0.5296|± | 0.0140|
|
| 430 |
+
|
base-70m-eval-files/EleutherAI-pythia-70m-5shot/results.json
ADDED
|
@@ -0,0 +1,406 @@
|
|
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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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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|
|
|
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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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|
|
|
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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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|
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|
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|
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|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"arc_challenge": {
|
| 4 |
+
"acc,none": 0.16723549488054607,
|
| 5 |
+
"acc_stderr,none": 0.010905532724601189,
|
| 6 |
+
"acc_norm,none": 0.2090443686006826,
|
| 7 |
+
"acc_norm_stderr,none": 0.011882746987406444
|
| 8 |
+
},
|
| 9 |
+
"arc_easy": {
|
| 10 |
+
"acc,none": 0.367003367003367,
|
| 11 |
+
"acc_stderr,none": 0.009890173658452116,
|
| 12 |
+
"acc_norm,none": 0.3581649831649832,
|
| 13 |
+
"acc_norm_stderr,none": 0.009838331651451848
|
| 14 |
+
},
|
| 15 |
+
"boolq": {
|
| 16 |
+
"acc,none": 0.5480122324159021,
|
| 17 |
+
"acc_stderr,none": 0.008704643851177517
|
| 18 |
+
},
|
| 19 |
+
"hellaswag": {
|
| 20 |
+
"acc,none": 0.26598287193786097,
|
| 21 |
+
"acc_stderr,none": 0.004409521343140176,
|
| 22 |
+
"acc_norm,none": 0.2747460665206134,
|
| 23 |
+
"acc_norm_stderr,none": 0.004454739415705064
|
| 24 |
+
},
|
| 25 |
+
"lambada_openai": {
|
| 26 |
+
"perplexity,none": 300.2755221103115,
|
| 27 |
+
"perplexity_stderr,none": 12.327724137522168,
|
| 28 |
+
"acc,none": 0.14341160489035512,
|
| 29 |
+
"acc_stderr,none": 0.004883040360919453
|
| 30 |
+
},
|
| 31 |
+
"openbookqa": {
|
| 32 |
+
"acc,none": 0.144,
|
| 33 |
+
"acc_stderr,none": 0.015716934945725767,
|
| 34 |
+
"acc_norm,none": 0.244,
|
| 35 |
+
"acc_norm_stderr,none": 0.01922673489361458
|
| 36 |
+
},
|
| 37 |
+
"piqa": {
|
| 38 |
+
"acc,none": 0.5875952121871599,
|
| 39 |
+
"acc_stderr,none": 0.011485407152743137,
|
| 40 |
+
"acc_norm,none": 0.588139281828074,
|
| 41 |
+
"acc_norm_stderr,none": 0.011483141106304395
|
| 42 |
+
},
|
| 43 |
+
"sciq": {
|
| 44 |
+
"acc,none": 0.622,
|
| 45 |
+
"acc_stderr,none": 0.015341165254026637,
|
| 46 |
+
"acc_norm,none": 0.589,
|
| 47 |
+
"acc_norm_stderr,none": 0.01556667341859927
|
| 48 |
+
},
|
| 49 |
+
"wikitext": {
|
| 50 |
+
"word_perplexity,none": 112.6458354552029,
|
| 51 |
+
"byte_perplexity,none": 2.1788907860475493,
|
| 52 |
+
"bits_per_byte,none": 1.1235938851292067
|
| 53 |
+
},
|
| 54 |
+
"winogrande": {
|
| 55 |
+
"acc,none": 0.5295974743488555,
|
| 56 |
+
"acc_stderr,none": 0.014027843827840085
|
| 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": [
|
| 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": 5,
|
| 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 0x7fa6ad108040>",
|
| 337 |
+
"description": "",
|
| 338 |
+
"target_delimiter": " ",
|
| 339 |
+
"fewshot_delimiter": "\n\n",
|
| 340 |
+
"num_fewshot": 5,
|
| 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 0x7fa6ad0daef0>",
|
| 364 |
+
"doc_to_target": "<function doc_to_target at 0x7fa6ad0db370>",
|
| 365 |
+
"doc_to_choice": "<function doc_to_choice at 0x7fa6ad0db5b0>",
|
| 366 |
+
"description": "",
|
| 367 |
+
"target_delimiter": " ",
|
| 368 |
+
"fewshot_delimiter": "\n\n",
|
| 369 |
+
"num_fewshot": 5,
|
| 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-70m",
|
| 397 |
+
"num_fewshot": 5,
|
| 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 |
+
}
|
sft-70m-eval-files/sft-pythia-70m-0shot-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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|
|
|
|
|
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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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|
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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": 0.18344709897610922,
|
| 6 |
+
"acc_stderr,none": 0.011310170179554536,
|
| 7 |
+
"acc_norm,none": 0.22184300341296928,
|
| 8 |
+
"acc_norm_stderr,none": 0.012141659068147887
|
| 9 |
+
},
|
| 10 |
+
"arc_easy": {
|
| 11 |
+
"acc,none": 0.39225589225589225,
|
| 12 |
+
"acc_stderr,none": 0.010018744689650043,
|
| 13 |
+
"acc_norm,none": 0.35858585858585856,
|
| 14 |
+
"acc_norm_stderr,none": 0.009840882301225297
|
| 15 |
+
},
|
| 16 |
+
"boolq": {
|
| 17 |
+
"acc,none": 0.6180428134556575,
|
| 18 |
+
"acc_stderr,none": 0.008497851998427189
|
| 19 |
+
},
|
| 20 |
+
"hellaswag": {
|
| 21 |
+
"acc,none": 0.2614021111332404,
|
| 22 |
+
"acc_stderr,none": 0.004385004998923414,
|
| 23 |
+
"acc_norm,none": 0.2674765982871938,
|
| 24 |
+
"acc_norm_stderr,none": 0.004417384102398648
|
| 25 |
+
},
|
| 26 |
+
"lambada_openai": {
|
| 27 |
+
"perplexity,none": 205.15639768675794,
|
| 28 |
+
"perplexity_stderr,none": 11.85910091929417,
|
| 29 |
+
"acc,none": 0.23015718998641568,
|
| 30 |
+
"acc_stderr,none": 0.005864424171439992
|
| 31 |
+
},
|
| 32 |
+
"openbookqa": {
|
| 33 |
+
"acc,none": 0.134,
|
| 34 |
+
"acc_stderr,none": 0.015249692003854497,
|
| 35 |
+
"acc_norm,none": 0.244,
|
| 36 |
+
"acc_norm_stderr,none": 0.019226734893614567
|
| 37 |
+
},
|
| 38 |
+
"piqa": {
|
| 39 |
+
"acc,none": 0.5952121871599565,
|
| 40 |
+
"acc_stderr,none": 0.011452361375057025,
|
| 41 |
+
"acc_norm,none": 0.5854189336235038,
|
| 42 |
+
"acc_norm_stderr,none": 0.011494326682255168
|
| 43 |
+
},
|
| 44 |
+
"sciq": {
|
| 45 |
+
"acc,none": 0.63,
|
| 46 |
+
"acc_stderr,none": 0.015275252316519359,
|
| 47 |
+
"acc_norm,none": 0.572,
|
| 48 |
+
"acc_norm_stderr,none": 0.01565442624502928
|
| 49 |
+
},
|
| 50 |
+
"wikitext": {
|
| 51 |
+
"word_perplexity,none": 180.27069075802413,
|
| 52 |
+
"byte_perplexity,none": 2.3545097616343265,
|
| 53 |
+
"bits_per_byte,none": 1.2354267039635143
|
| 54 |
+
},
|
| 55 |
+
"winogrande": {
|
| 56 |
+
"acc,none": 0.5209155485398579,
|
| 57 |
+
"acc_stderr,none": 0.014040185494212949
|
| 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 0x7f78469f8040>",
|
| 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 0x7f78469caef0>",
|
| 365 |
+
"doc_to_target": "<function doc_to_target at 0x7f78469cb370>",
|
| 366 |
+
"doc_to_choice": "<function doc_to_choice at 0x7f78469cb5b0>",
|
| 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=lomahony/eleuther-pythia70m-hh-sft",
|
| 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=lomahony/eleuther-pythia70m-hh-sft), limit: None, num_fewshot: 0, batch_size: 16
|
| 409 |
+
| Task |Version|Filter| Metric | Value | |Stderr |
|
| 410 |
+
|--------------|-------|------|---------------|-------:|---|------:|
|
| 411 |
+
|arc_challenge |Yaml |none |acc | 0.1834|± | 0.0113|
|
| 412 |
+
| | |none |acc_norm | 0.2218|± | 0.0121|
|
| 413 |
+
|arc_easy |Yaml |none |acc | 0.3923|± | 0.0100|
|
| 414 |
+
| | |none |acc_norm | 0.3586|± | 0.0098|
|
| 415 |
+
|boolq |Yaml |none |acc | 0.6180|± | 0.0085|
|
| 416 |
+
|hellaswag |Yaml |none |acc | 0.2614|± | 0.0044|
|
| 417 |
+
| | |none |acc_norm | 0.2675|± | 0.0044|
|
| 418 |
+
|lambada_openai|Yaml |none |perplexity |205.1564|± |11.8591|
|
| 419 |
+
| | |none |acc | 0.2302|± | 0.0059|
|
| 420 |
+
|openbookqa |Yaml |none |acc | 0.1340|± | 0.0152|
|
| 421 |
+
| | |none |acc_norm | 0.2440|± | 0.0192|
|
| 422 |
+
|piqa |Yaml |none |acc | 0.5952|± | 0.0115|
|
| 423 |
+
| | |none |acc_norm | 0.5854|± | 0.0115|
|
| 424 |
+
|sciq |Yaml |none |acc | 0.6300|± | 0.0153|
|
| 425 |
+
| | |none |acc_norm | 0.5720|± | 0.0157|
|
| 426 |
+
|wikitext |Yaml |none |word_perplexity|180.2707| | |
|
| 427 |
+
| | |none |byte_perplexity| 2.3545| | |
|
| 428 |
+
| | |none |bits_per_byte | 1.2354| | |
|
| 429 |
+
|winogrande |Yaml |none |acc | 0.5209|± | 0.0140|
|
| 430 |
+
|
sft-70m-eval-files/sft-pythia-70m-0shot/results.json
ADDED
|
@@ -0,0 +1,406 @@
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"arc_challenge": {
|
| 4 |
+
"acc,none": 0.18344709897610922,
|
| 5 |
+
"acc_stderr,none": 0.011310170179554536,
|
| 6 |
+
"acc_norm,none": 0.22184300341296928,
|
| 7 |
+
"acc_norm_stderr,none": 0.012141659068147887
|
| 8 |
+
},
|
| 9 |
+
"arc_easy": {
|
| 10 |
+
"acc,none": 0.39225589225589225,
|
| 11 |
+
"acc_stderr,none": 0.010018744689650043,
|
| 12 |
+
"acc_norm,none": 0.35858585858585856,
|
| 13 |
+
"acc_norm_stderr,none": 0.009840882301225297
|
| 14 |
+
},
|
| 15 |
+
"boolq": {
|
| 16 |
+
"acc,none": 0.6180428134556575,
|
| 17 |
+
"acc_stderr,none": 0.008497851998427189
|
| 18 |
+
},
|
| 19 |
+
"hellaswag": {
|
| 20 |
+
"acc,none": 0.2614021111332404,
|
| 21 |
+
"acc_stderr,none": 0.004385004998923414,
|
| 22 |
+
"acc_norm,none": 0.2674765982871938,
|
| 23 |
+
"acc_norm_stderr,none": 0.004417384102398648
|
| 24 |
+
},
|
| 25 |
+
"lambada_openai": {
|
| 26 |
+
"perplexity,none": 205.15639768675794,
|
| 27 |
+
"perplexity_stderr,none": 11.85910091929417,
|
| 28 |
+
"acc,none": 0.23015718998641568,
|
| 29 |
+
"acc_stderr,none": 0.005864424171439992
|
| 30 |
+
},
|
| 31 |
+
"openbookqa": {
|
| 32 |
+
"acc,none": 0.134,
|
| 33 |
+
"acc_stderr,none": 0.015249692003854497,
|
| 34 |
+
"acc_norm,none": 0.244,
|
| 35 |
+
"acc_norm_stderr,none": 0.019226734893614567
|
| 36 |
+
},
|
| 37 |
+
"piqa": {
|
| 38 |
+
"acc,none": 0.5952121871599565,
|
| 39 |
+
"acc_stderr,none": 0.011452361375057025,
|
| 40 |
+
"acc_norm,none": 0.5854189336235038,
|
| 41 |
+
"acc_norm_stderr,none": 0.011494326682255168
|
| 42 |
+
},
|
| 43 |
+
"sciq": {
|
| 44 |
+
"acc,none": 0.63,
|
| 45 |
+
"acc_stderr,none": 0.015275252316519359,
|
| 46 |
+
"acc_norm,none": 0.572,
|
| 47 |
+
"acc_norm_stderr,none": 0.01565442624502928
|
| 48 |
+
},
|
| 49 |
+
"wikitext": {
|
| 50 |
+
"word_perplexity,none": 180.27069075802413,
|
| 51 |
+
"byte_perplexity,none": 2.3545097616343265,
|
| 52 |
+
"bits_per_byte,none": 1.2354267039635143
|
| 53 |
+
},
|
| 54 |
+
"winogrande": {
|
| 55 |
+
"acc,none": 0.5209155485398579,
|
| 56 |
+
"acc_stderr,none": 0.014040185494212949
|
| 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 0x7f78469f8040>",
|
| 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 0x7f78469caef0>",
|
| 364 |
+
"doc_to_target": "<function doc_to_target at 0x7f78469cb370>",
|
| 365 |
+
"doc_to_choice": "<function doc_to_choice at 0x7f78469cb5b0>",
|
| 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=lomahony/eleuther-pythia70m-hh-sft",
|
| 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 |
+
}
|
sft-70m-eval-files/sft-pythia-70m-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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|
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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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|
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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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|
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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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|
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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": 0.1757679180887372,
|
| 6 |
+
"acc_stderr,none": 0.011122850863120487,
|
| 7 |
+
"acc_norm,none": 0.21245733788395904,
|
| 8 |
+
"acc_norm_stderr,none": 0.011953482906582947
|
| 9 |
+
},
|
| 10 |
+
"arc_easy": {
|
| 11 |
+
"acc,none": 0.38173400673400676,
|
| 12 |
+
"acc_stderr,none": 0.00996864885183967,
|
| 13 |
+
"acc_norm,none": 0.3661616161616162,
|
| 14 |
+
"acc_norm_stderr,none": 0.00988539139094772
|
| 15 |
+
},
|
| 16 |
+
"boolq": {
|
| 17 |
+
"acc,none": 0.5837920489296636,
|
| 18 |
+
"acc_stderr,none": 0.008621380519419278
|
| 19 |
+
},
|
| 20 |
+
"hellaswag": {
|
| 21 |
+
"acc,none": 0.2605058753236407,
|
| 22 |
+
"acc_stderr,none": 0.004380136468543921,
|
| 23 |
+
"acc_norm,none": 0.2665803624775941,
|
| 24 |
+
"acc_norm_stderr,none": 0.004412674170976497
|
| 25 |
+
},
|
| 26 |
+
"lambada_openai": {
|
| 27 |
+
"perplexity,none": 495.31700918494755,
|
| 28 |
+
"perplexity_stderr,none": 27.7861411859479,
|
| 29 |
+
"acc,none": 0.15854841839705025,
|
| 30 |
+
"acc_stderr,none": 0.005088708755423655
|
| 31 |
+
},
|
| 32 |
+
"openbookqa": {
|
| 33 |
+
"acc,none": 0.132,
|
| 34 |
+
"acc_stderr,none": 0.015152927850580162,
|
| 35 |
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"acc_norm,none": 0.244,
|
| 36 |
+
"acc_norm_stderr,none": 0.019226734893614584
|
| 37 |
+
},
|
| 38 |
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"piqa": {
|
| 39 |
+
"acc,none": 0.5870511425462459,
|
| 40 |
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"acc_stderr,none": 0.011487658725079094,
|
| 41 |
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"acc_norm,none": 0.5930359085963003,
|
| 42 |
+
"acc_norm_stderr,none": 0.011462093919190166
|
| 43 |
+
},
|
| 44 |
+
"sciq": {
|
| 45 |
+
"acc,none": 0.621,
|
| 46 |
+
"acc_stderr,none": 0.015349091002225347,
|
| 47 |
+
"acc_norm,none": 0.576,
|
| 48 |
+
"acc_norm_stderr,none": 0.015635487471405186
|
| 49 |
+
},
|
| 50 |
+
"wikitext": {
|
| 51 |
+
"word_perplexity,none": 180.27069075802413,
|
| 52 |
+
"byte_perplexity,none": 2.3545097616343265,
|
| 53 |
+
"bits_per_byte,none": 1.2354267039635143
|
| 54 |
+
},
|
| 55 |
+
"winogrande": {
|
| 56 |
+
"acc,none": 0.5209155485398579,
|
| 57 |
+
"acc_stderr,none": 0.014040185494212949
|
| 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": 5,
|
| 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": 5,
|
| 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": 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 0x7f54329bc040>",
|
| 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 0x7f543298eef0>",
|
| 365 |
+
"doc_to_target": "<function doc_to_target at 0x7f543298f370>",
|
| 366 |
+
"doc_to_choice": "<function doc_to_choice at 0x7f543298f5b0>",
|
| 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=lomahony/eleuther-pythia70m-hh-sft",
|
| 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=lomahony/eleuther-pythia70m-hh-sft), limit: None, num_fewshot: 5, batch_size: 16
|
| 409 |
+
| Task |Version|Filter| Metric | Value | |Stderr |
|
| 410 |
+
|--------------|-------|------|---------------|-------:|---|------:|
|
| 411 |
+
|arc_challenge |Yaml |none |acc | 0.1758|± | 0.0111|
|
| 412 |
+
| | |none |acc_norm | 0.2125|± | 0.0120|
|
| 413 |
+
|arc_easy |Yaml |none |acc | 0.3817|± | 0.0100|
|
| 414 |
+
| | |none |acc_norm | 0.3662|± | 0.0099|
|
| 415 |
+
|boolq |Yaml |none |acc | 0.5838|± | 0.0086|
|
| 416 |
+
|hellaswag |Yaml |none |acc | 0.2605|± | 0.0044|
|
| 417 |
+
| | |none |acc_norm | 0.2666|± | 0.0044|
|
| 418 |
+
|lambada_openai|Yaml |none |perplexity |495.3170|± |27.7861|
|
| 419 |
+
| | |none |acc | 0.1585|± | 0.0051|
|
| 420 |
+
|openbookqa |Yaml |none |acc | 0.1320|± | 0.0152|
|
| 421 |
+
| | |none |acc_norm | 0.2440|± | 0.0192|
|
| 422 |
+
|piqa |Yaml |none |acc | 0.5871|± | 0.0115|
|
| 423 |
+
| | |none |acc_norm | 0.5930|± | 0.0115|
|
| 424 |
+
|sciq |Yaml |none |acc | 0.6210|± | 0.0153|
|
| 425 |
+
| | |none |acc_norm | 0.5760|± | 0.0156|
|
| 426 |
+
|wikitext |Yaml |none |word_perplexity|180.2707| | |
|
| 427 |
+
| | |none |byte_perplexity| 2.3545| | |
|
| 428 |
+
| | |none |bits_per_byte | 1.2354| | |
|
| 429 |
+
|winogrande |Yaml |none |acc | 0.5209|± | 0.0140|
|
| 430 |
+
|
sft-70m-eval-files/sft-pythia-70m-5shot/results.json
ADDED
|
@@ -0,0 +1,406 @@
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|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"arc_challenge": {
|
| 4 |
+
"acc,none": 0.1757679180887372,
|
| 5 |
+
"acc_stderr,none": 0.011122850863120487,
|
| 6 |
+
"acc_norm,none": 0.21245733788395904,
|
| 7 |
+
"acc_norm_stderr,none": 0.011953482906582947
|
| 8 |
+
},
|
| 9 |
+
"arc_easy": {
|
| 10 |
+
"acc,none": 0.38173400673400676,
|
| 11 |
+
"acc_stderr,none": 0.00996864885183967,
|
| 12 |
+
"acc_norm,none": 0.3661616161616162,
|
| 13 |
+
"acc_norm_stderr,none": 0.00988539139094772
|
| 14 |
+
},
|
| 15 |
+
"boolq": {
|
| 16 |
+
"acc,none": 0.5837920489296636,
|
| 17 |
+
"acc_stderr,none": 0.008621380519419278
|
| 18 |
+
},
|
| 19 |
+
"hellaswag": {
|
| 20 |
+
"acc,none": 0.2605058753236407,
|
| 21 |
+
"acc_stderr,none": 0.004380136468543921,
|
| 22 |
+
"acc_norm,none": 0.2665803624775941,
|
| 23 |
+
"acc_norm_stderr,none": 0.004412674170976497
|
| 24 |
+
},
|
| 25 |
+
"lambada_openai": {
|
| 26 |
+
"perplexity,none": 495.31700918494755,
|
| 27 |
+
"perplexity_stderr,none": 27.7861411859479,
|
| 28 |
+
"acc,none": 0.15854841839705025,
|
| 29 |
+
"acc_stderr,none": 0.005088708755423655
|
| 30 |
+
},
|
| 31 |
+
"openbookqa": {
|
| 32 |
+
"acc,none": 0.132,
|
| 33 |
+
"acc_stderr,none": 0.015152927850580162,
|
| 34 |
+
"acc_norm,none": 0.244,
|
| 35 |
+
"acc_norm_stderr,none": 0.019226734893614584
|
| 36 |
+
},
|
| 37 |
+
"piqa": {
|
| 38 |
+
"acc,none": 0.5870511425462459,
|
| 39 |
+
"acc_stderr,none": 0.011487658725079094,
|
| 40 |
+
"acc_norm,none": 0.5930359085963003,
|
| 41 |
+
"acc_norm_stderr,none": 0.011462093919190166
|
| 42 |
+
},
|
| 43 |
+
"sciq": {
|
| 44 |
+
"acc,none": 0.621,
|
| 45 |
+
"acc_stderr,none": 0.015349091002225347,
|
| 46 |
+
"acc_norm,none": 0.576,
|
| 47 |
+
"acc_norm_stderr,none": 0.015635487471405186
|
| 48 |
+
},
|
| 49 |
+
"wikitext": {
|
| 50 |
+
"word_perplexity,none": 180.27069075802413,
|
| 51 |
+
"byte_perplexity,none": 2.3545097616343265,
|
| 52 |
+
"bits_per_byte,none": 1.2354267039635143
|
| 53 |
+
},
|
| 54 |
+
"winogrande": {
|
| 55 |
+
"acc,none": 0.5209155485398579,
|
| 56 |
+
"acc_stderr,none": 0.014040185494212949
|
| 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": [
|
| 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": 5,
|
| 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 0x7f54329bc040>",
|
| 337 |
+
"description": "",
|
| 338 |
+
"target_delimiter": " ",
|
| 339 |
+
"fewshot_delimiter": "\n\n",
|
| 340 |
+
"num_fewshot": 5,
|
| 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 0x7f543298eef0>",
|
| 364 |
+
"doc_to_target": "<function doc_to_target at 0x7f543298f370>",
|
| 365 |
+
"doc_to_choice": "<function doc_to_choice at 0x7f543298f5b0>",
|
| 366 |
+
"description": "",
|
| 367 |
+
"target_delimiter": " ",
|
| 368 |
+
"fewshot_delimiter": "\n\n",
|
| 369 |
+
"num_fewshot": 5,
|
| 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=lomahony/eleuther-pythia70m-hh-sft",
|
| 397 |
+
"num_fewshot": 5,
|
| 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 |
+
}
|