Upload 6 files
Browse files- sft-160m-eval-files/dpo-pythia-160m-0shot-shelloutput.txt +430 -0
- sft-160m-eval-files/dpo-pythia-160m-5shot-shelloutput.txt +430 -0
- sft-160m-eval-files/sft-pythia-160m-0shot-shelloutput.txt +430 -0
- sft-160m-eval-files/sft-pythia-160m-0shot/results.json +406 -0
- sft-160m-eval-files/sft-pythia-160m-5shot-shelloutput.txt +430 -0
- sft-160m-eval-files/sft-pythia-160m-5shot/results.json +406 -0
sft-160m-eval-files/dpo-pythia-160m-0shot-shelloutput.txt
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| 1 |
+
bootstrapping for stddev: perplexity
|
| 2 |
+
{
|
| 3 |
+
"results": {
|
| 4 |
+
"arc_challenge": {
|
| 5 |
+
"acc,none": 0.19283276450511946,
|
| 6 |
+
"acc_stderr,none": 0.01152905546566333,
|
| 7 |
+
"acc_norm,none": 0.24488054607508533,
|
| 8 |
+
"acc_norm_stderr,none": 0.012566273985131358
|
| 9 |
+
},
|
| 10 |
+
"arc_easy": {
|
| 11 |
+
"acc,none": 0.4671717171717172,
|
| 12 |
+
"acc_stderr,none": 0.010237645778853858,
|
| 13 |
+
"acc_norm,none": 0.4132996632996633,
|
| 14 |
+
"acc_norm_stderr,none": 0.010104361780747516
|
| 15 |
+
},
|
| 16 |
+
"boolq": {
|
| 17 |
+
"acc,none": 0.6149847094801223,
|
| 18 |
+
"acc_stderr,none": 0.00851066875102728
|
| 19 |
+
},
|
| 20 |
+
"hellaswag": {
|
| 21 |
+
"acc,none": 0.28958374825731925,
|
| 22 |
+
"acc_stderr,none": 0.004526422125860652,
|
| 23 |
+
"acc_norm,none": 0.3016331408086039,
|
| 24 |
+
"acc_norm_stderr,none": 0.004580288728196038
|
| 25 |
+
},
|
| 26 |
+
"lambada_openai": {
|
| 27 |
+
"perplexity,none": 40.49750927655119,
|
| 28 |
+
"perplexity_stderr,none": 1.9470980651595484,
|
| 29 |
+
"acc,none": 0.35066951290510384,
|
| 30 |
+
"acc_stderr,none": 0.006648045374603881
|
| 31 |
+
},
|
| 32 |
+
"openbookqa": {
|
| 33 |
+
"acc,none": 0.172,
|
| 34 |
+
"acc_stderr,none": 0.01689386887634748,
|
| 35 |
+
"acc_norm,none": 0.28,
|
| 36 |
+
"acc_norm_stderr,none": 0.020099950647503237
|
| 37 |
+
},
|
| 38 |
+
"piqa": {
|
| 39 |
+
"acc,none": 0.6332970620239391,
|
| 40 |
+
"acc_stderr,none": 0.011243625019038255,
|
| 41 |
+
"acc_norm,none": 0.6262241566920566,
|
| 42 |
+
"acc_norm_stderr,none": 0.011287972563201014
|
| 43 |
+
},
|
| 44 |
+
"sciq": {
|
| 45 |
+
"acc,none": 0.753,
|
| 46 |
+
"acc_stderr,none": 0.013644675781314128,
|
| 47 |
+
"acc_norm,none": 0.67,
|
| 48 |
+
"acc_norm_stderr,none": 0.014876872027456732
|
| 49 |
+
},
|
| 50 |
+
"wikitext": {
|
| 51 |
+
"word_perplexity,none": 75.24993841350984,
|
| 52 |
+
"byte_perplexity,none": 2.0386909133746456,
|
| 53 |
+
"bits_per_byte,none": 1.0276430644458452
|
| 54 |
+
},
|
| 55 |
+
"winogrande": {
|
| 56 |
+
"acc,none": 0.5138121546961326,
|
| 57 |
+
"acc_stderr,none": 0.014047122916440419
|
| 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 0x7fd1a1c44040>",
|
| 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 0x7fd1a1c16ef0>",
|
| 365 |
+
"doc_to_target": "<function doc_to_target at 0x7fd1a1c17370>",
|
| 366 |
+
"doc_to_choice": "<function doc_to_choice at 0x7fd1a1c175b0>",
|
| 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-pythia160m-hh-dpo",
|
| 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-pythia160m-hh-dpo), limit: None, num_fewshot: 0, batch_size: 16
|
| 409 |
+
| Task |Version|Filter| Metric | Value | |Stderr|
|
| 410 |
+
|--------------|-------|------|---------------|------:|---|-----:|
|
| 411 |
+
|arc_challenge |Yaml |none |acc | 0.1928|± |0.0115|
|
| 412 |
+
| | |none |acc_norm | 0.2449|± |0.0126|
|
| 413 |
+
|arc_easy |Yaml |none |acc | 0.4672|± |0.0102|
|
| 414 |
+
| | |none |acc_norm | 0.4133|± |0.0101|
|
| 415 |
+
|boolq |Yaml |none |acc | 0.6150|± |0.0085|
|
| 416 |
+
|hellaswag |Yaml |none |acc | 0.2896|± |0.0045|
|
| 417 |
+
| | |none |acc_norm | 0.3016|± |0.0046|
|
| 418 |
+
|lambada_openai|Yaml |none |perplexity |40.4975|± |1.9471|
|
| 419 |
+
| | |none |acc | 0.3507|± |0.0066|
|
| 420 |
+
|openbookqa |Yaml |none |acc | 0.1720|± |0.0169|
|
| 421 |
+
| | |none |acc_norm | 0.2800|± |0.0201|
|
| 422 |
+
|piqa |Yaml |none |acc | 0.6333|± |0.0112|
|
| 423 |
+
| | |none |acc_norm | 0.6262|± |0.0113|
|
| 424 |
+
|sciq |Yaml |none |acc | 0.7530|± |0.0136|
|
| 425 |
+
| | |none |acc_norm | 0.6700|± |0.0149|
|
| 426 |
+
|wikitext |Yaml |none |word_perplexity|75.2499| | |
|
| 427 |
+
| | |none |byte_perplexity| 2.0387| | |
|
| 428 |
+
| | |none |bits_per_byte | 1.0276| | |
|
| 429 |
+
|winogrande |Yaml |none |acc | 0.5138|± |0.0140|
|
| 430 |
+
|
sft-160m-eval-files/dpo-pythia-160m-5shot-shelloutput.txt
ADDED
|
@@ -0,0 +1,430 @@
|
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|
| 1 |
+
bootstrapping for stddev: perplexity
|
| 2 |
+
{
|
| 3 |
+
"results": {
|
| 4 |
+
"arc_challenge": {
|
| 5 |
+
"acc,none": 0.20563139931740615,
|
| 6 |
+
"acc_stderr,none": 0.011810745260742547,
|
| 7 |
+
"acc_norm,none": 0.24744027303754265,
|
| 8 |
+
"acc_norm_stderr,none": 0.01261035266329267
|
| 9 |
+
},
|
| 10 |
+
"arc_easy": {
|
| 11 |
+
"acc,none": 0.46380471380471383,
|
| 12 |
+
"acc_stderr,none": 0.01023286555034674,
|
| 13 |
+
"acc_norm,none": 0.4385521885521885,
|
| 14 |
+
"acc_norm_stderr,none": 0.010182010275471116
|
| 15 |
+
},
|
| 16 |
+
"boolq": {
|
| 17 |
+
"acc,none": 0.6055045871559633,
|
| 18 |
+
"acc_stderr,none": 0.008548152025770934
|
| 19 |
+
},
|
| 20 |
+
"hellaswag": {
|
| 21 |
+
"acc,none": 0.2885879306910974,
|
| 22 |
+
"acc_stderr,none": 0.004521798577922137,
|
| 23 |
+
"acc_norm,none": 0.3088030272854013,
|
| 24 |
+
"acc_norm_stderr,none": 0.004610554974411229
|
| 25 |
+
},
|
| 26 |
+
"lambada_openai": {
|
| 27 |
+
"perplexity,none": 68.78788187981594,
|
| 28 |
+
"perplexity_stderr,none": 3.3418985414978897,
|
| 29 |
+
"acc,none": 0.2815835435668543,
|
| 30 |
+
"acc_stderr,none": 0.006266194106395877
|
| 31 |
+
},
|
| 32 |
+
"openbookqa": {
|
| 33 |
+
"acc,none": 0.158,
|
| 34 |
+
"acc_stderr,none": 0.01632804980457984,
|
| 35 |
+
"acc_norm,none": 0.254,
|
| 36 |
+
"acc_norm_stderr,none": 0.019486596801643368
|
| 37 |
+
},
|
| 38 |
+
"piqa": {
|
| 39 |
+
"acc,none": 0.6284004352557128,
|
| 40 |
+
"acc_stderr,none": 0.011274603006724757,
|
| 41 |
+
"acc_norm,none": 0.6332970620239391,
|
| 42 |
+
"acc_norm_stderr,none": 0.01124362501903826
|
| 43 |
+
},
|
| 44 |
+
"sciq": {
|
| 45 |
+
"acc,none": 0.76,
|
| 46 |
+
"acc_stderr,none": 0.013512312258920836,
|
| 47 |
+
"acc_norm,none": 0.737,
|
| 48 |
+
"acc_norm_stderr,none": 0.013929286594259724
|
| 49 |
+
},
|
| 50 |
+
"wikitext": {
|
| 51 |
+
"word_perplexity,none": 75.24993841350984,
|
| 52 |
+
"byte_perplexity,none": 2.0386909133746456,
|
| 53 |
+
"bits_per_byte,none": 1.0276430644458452
|
| 54 |
+
},
|
| 55 |
+
"winogrande": {
|
| 56 |
+
"acc,none": 0.5138121546961326,
|
| 57 |
+
"acc_stderr,none": 0.014047122916440419
|
| 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 0x7ff6ce1e4040>",
|
| 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 0x7ff6ce1b6ef0>",
|
| 365 |
+
"doc_to_target": "<function doc_to_target at 0x7ff6ce1b7370>",
|
| 366 |
+
"doc_to_choice": "<function doc_to_choice at 0x7ff6ce1b75b0>",
|
| 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-pythia160m-hh-dpo",
|
| 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-pythia160m-hh-dpo), limit: None, num_fewshot: 5, batch_size: 16
|
| 409 |
+
| Task |Version|Filter| Metric | Value | |Stderr|
|
| 410 |
+
|--------------|-------|------|---------------|------:|---|-----:|
|
| 411 |
+
|arc_challenge |Yaml |none |acc | 0.2056|± |0.0118|
|
| 412 |
+
| | |none |acc_norm | 0.2474|± |0.0126|
|
| 413 |
+
|arc_easy |Yaml |none |acc | 0.4638|± |0.0102|
|
| 414 |
+
| | |none |acc_norm | 0.4386|± |0.0102|
|
| 415 |
+
|boolq |Yaml |none |acc | 0.6055|± |0.0085|
|
| 416 |
+
|hellaswag |Yaml |none |acc | 0.2886|± |0.0045|
|
| 417 |
+
| | |none |acc_norm | 0.3088|± |0.0046|
|
| 418 |
+
|lambada_openai|Yaml |none |perplexity |68.7879|± |3.3419|
|
| 419 |
+
| | |none |acc | 0.2816|± |0.0063|
|
| 420 |
+
|openbookqa |Yaml |none |acc | 0.1580|± |0.0163|
|
| 421 |
+
| | |none |acc_norm | 0.2540|± |0.0195|
|
| 422 |
+
|piqa |Yaml |none |acc | 0.6284|± |0.0113|
|
| 423 |
+
| | |none |acc_norm | 0.6333|± |0.0112|
|
| 424 |
+
|sciq |Yaml |none |acc | 0.7600|± |0.0135|
|
| 425 |
+
| | |none |acc_norm | 0.7370|± |0.0139|
|
| 426 |
+
|wikitext |Yaml |none |word_perplexity|75.2499| | |
|
| 427 |
+
| | |none |byte_perplexity| 2.0387| | |
|
| 428 |
+
| | |none |bits_per_byte | 1.0276| | |
|
| 429 |
+
|winogrande |Yaml |none |acc | 0.5138|± |0.0140|
|
| 430 |
+
|
sft-160m-eval-files/sft-pythia-160m-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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
bootstrapping for stddev: perplexity
|
| 2 |
+
{
|
| 3 |
+
"results": {
|
| 4 |
+
"arc_challenge": {
|
| 5 |
+
"acc,none": 0.1945392491467577,
|
| 6 |
+
"acc_stderr,none": 0.011567709174648728,
|
| 7 |
+
"acc_norm,none": 0.24573378839590443,
|
| 8 |
+
"acc_norm_stderr,none": 0.012581033453730118
|
| 9 |
+
},
|
| 10 |
+
"arc_easy": {
|
| 11 |
+
"acc,none": 0.4524410774410774,
|
| 12 |
+
"acc_stderr,none": 0.010213265860171393,
|
| 13 |
+
"acc_norm,none": 0.4078282828282828,
|
| 14 |
+
"acc_norm_stderr,none": 0.010083950240041214
|
| 15 |
+
},
|
| 16 |
+
"boolq": {
|
| 17 |
+
"acc,none": 0.6192660550458715,
|
| 18 |
+
"acc_stderr,none": 0.00849262556165622
|
| 19 |
+
},
|
| 20 |
+
"hellaswag": {
|
| 21 |
+
"acc,none": 0.2869946225851424,
|
| 22 |
+
"acc_stderr,none": 0.00451434554778033,
|
| 23 |
+
"acc_norm,none": 0.29685321649073887,
|
| 24 |
+
"acc_norm_stderr,none": 0.0045593758358059315
|
| 25 |
+
},
|
| 26 |
+
"lambada_openai": {
|
| 27 |
+
"perplexity,none": 33.80704913877752,
|
| 28 |
+
"perplexity_stderr,none": 1.4967416616346076,
|
| 29 |
+
"acc,none": 0.3580438579468271,
|
| 30 |
+
"acc_stderr,none": 0.006679329465345719
|
| 31 |
+
},
|
| 32 |
+
"openbookqa": {
|
| 33 |
+
"acc,none": 0.17,
|
| 34 |
+
"acc_stderr,none": 0.01681563353139343,
|
| 35 |
+
"acc_norm,none": 0.26,
|
| 36 |
+
"acc_norm_stderr,none": 0.019635965529725515
|
| 37 |
+
},
|
| 38 |
+
"piqa": {
|
| 39 |
+
"acc,none": 0.6332970620239391,
|
| 40 |
+
"acc_stderr,none": 0.011243625019038255,
|
| 41 |
+
"acc_norm,none": 0.6300326441784548,
|
| 42 |
+
"acc_norm_stderr,none": 0.011264415223415276
|
| 43 |
+
},
|
| 44 |
+
"sciq": {
|
| 45 |
+
"acc,none": 0.756,
|
| 46 |
+
"acc_stderr,none": 0.013588548437881431,
|
| 47 |
+
"acc_norm,none": 0.687,
|
| 48 |
+
"acc_norm_stderr,none": 0.01467127282297788
|
| 49 |
+
},
|
| 50 |
+
"wikitext": {
|
| 51 |
+
"word_perplexity,none": 69.5803814818009,
|
| 52 |
+
"byte_perplexity,none": 2.012533549921474,
|
| 53 |
+
"bits_per_byte,none": 1.009012833861732
|
| 54 |
+
},
|
| 55 |
+
"winogrande": {
|
| 56 |
+
"acc,none": 0.516179952644041,
|
| 57 |
+
"acc_stderr,none": 0.0140451261309786
|
| 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 0x7f9804f4c040>",
|
| 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 0x7f9804f1eef0>",
|
| 365 |
+
"doc_to_target": "<function doc_to_target at 0x7f9804f1f370>",
|
| 366 |
+
"doc_to_choice": "<function doc_to_choice at 0x7f9804f1f5b0>",
|
| 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-pythia160m-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-pythia160m-hh-sft), limit: None, num_fewshot: 0, batch_size: 16
|
| 409 |
+
| Task |Version|Filter| Metric | Value | |Stderr|
|
| 410 |
+
|--------------|-------|------|---------------|------:|---|-----:|
|
| 411 |
+
|arc_challenge |Yaml |none |acc | 0.1945|± |0.0116|
|
| 412 |
+
| | |none |acc_norm | 0.2457|± |0.0126|
|
| 413 |
+
|arc_easy |Yaml |none |acc | 0.4524|± |0.0102|
|
| 414 |
+
| | |none |acc_norm | 0.4078|± |0.0101|
|
| 415 |
+
|boolq |Yaml |none |acc | 0.6193|± |0.0085|
|
| 416 |
+
|hellaswag |Yaml |none |acc | 0.2870|± |0.0045|
|
| 417 |
+
| | |none |acc_norm | 0.2969|± |0.0046|
|
| 418 |
+
|lambada_openai|Yaml |none |perplexity |33.8070|± |1.4967|
|
| 419 |
+
| | |none |acc | 0.3580|± |0.0067|
|
| 420 |
+
|openbookqa |Yaml |none |acc | 0.1700|± |0.0168|
|
| 421 |
+
| | |none |acc_norm | 0.2600|± |0.0196|
|
| 422 |
+
|piqa |Yaml |none |acc | 0.6333|± |0.0112|
|
| 423 |
+
| | |none |acc_norm | 0.6300|± |0.0113|
|
| 424 |
+
|sciq |Yaml |none |acc | 0.7560|± |0.0136|
|
| 425 |
+
| | |none |acc_norm | 0.6870|± |0.0147|
|
| 426 |
+
|wikitext |Yaml |none |word_perplexity|69.5804| | |
|
| 427 |
+
| | |none |byte_perplexity| 2.0125| | |
|
| 428 |
+
| | |none |bits_per_byte | 1.0090| | |
|
| 429 |
+
|winogrande |Yaml |none |acc | 0.5162|± |0.0140|
|
| 430 |
+
|
sft-160m-eval-files/sft-pythia-160m-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": 0.1945392491467577,
|
| 5 |
+
"acc_stderr,none": 0.011567709174648728,
|
| 6 |
+
"acc_norm,none": 0.24573378839590443,
|
| 7 |
+
"acc_norm_stderr,none": 0.012581033453730118
|
| 8 |
+
},
|
| 9 |
+
"arc_easy": {
|
| 10 |
+
"acc,none": 0.4524410774410774,
|
| 11 |
+
"acc_stderr,none": 0.010213265860171393,
|
| 12 |
+
"acc_norm,none": 0.4078282828282828,
|
| 13 |
+
"acc_norm_stderr,none": 0.010083950240041214
|
| 14 |
+
},
|
| 15 |
+
"boolq": {
|
| 16 |
+
"acc,none": 0.6192660550458715,
|
| 17 |
+
"acc_stderr,none": 0.00849262556165622
|
| 18 |
+
},
|
| 19 |
+
"hellaswag": {
|
| 20 |
+
"acc,none": 0.2869946225851424,
|
| 21 |
+
"acc_stderr,none": 0.00451434554778033,
|
| 22 |
+
"acc_norm,none": 0.29685321649073887,
|
| 23 |
+
"acc_norm_stderr,none": 0.0045593758358059315
|
| 24 |
+
},
|
| 25 |
+
"lambada_openai": {
|
| 26 |
+
"perplexity,none": 33.80704913877752,
|
| 27 |
+
"perplexity_stderr,none": 1.4967416616346076,
|
| 28 |
+
"acc,none": 0.3580438579468271,
|
| 29 |
+
"acc_stderr,none": 0.006679329465345719
|
| 30 |
+
},
|
| 31 |
+
"openbookqa": {
|
| 32 |
+
"acc,none": 0.17,
|
| 33 |
+
"acc_stderr,none": 0.01681563353139343,
|
| 34 |
+
"acc_norm,none": 0.26,
|
| 35 |
+
"acc_norm_stderr,none": 0.019635965529725515
|
| 36 |
+
},
|
| 37 |
+
"piqa": {
|
| 38 |
+
"acc,none": 0.6332970620239391,
|
| 39 |
+
"acc_stderr,none": 0.011243625019038255,
|
| 40 |
+
"acc_norm,none": 0.6300326441784548,
|
| 41 |
+
"acc_norm_stderr,none": 0.011264415223415276
|
| 42 |
+
},
|
| 43 |
+
"sciq": {
|
| 44 |
+
"acc,none": 0.756,
|
| 45 |
+
"acc_stderr,none": 0.013588548437881431,
|
| 46 |
+
"acc_norm,none": 0.687,
|
| 47 |
+
"acc_norm_stderr,none": 0.01467127282297788
|
| 48 |
+
},
|
| 49 |
+
"wikitext": {
|
| 50 |
+
"word_perplexity,none": 69.5803814818009,
|
| 51 |
+
"byte_perplexity,none": 2.012533549921474,
|
| 52 |
+
"bits_per_byte,none": 1.009012833861732
|
| 53 |
+
},
|
| 54 |
+
"winogrande": {
|
| 55 |
+
"acc,none": 0.516179952644041,
|
| 56 |
+
"acc_stderr,none": 0.0140451261309786
|
| 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 0x7f9804f4c040>",
|
| 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 0x7f9804f1eef0>",
|
| 364 |
+
"doc_to_target": "<function doc_to_target at 0x7f9804f1f370>",
|
| 365 |
+
"doc_to_choice": "<function doc_to_choice at 0x7f9804f1f5b0>",
|
| 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-pythia160m-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-160m-eval-files/sft-pythia-160m-5shot-shelloutput.txt
ADDED
|
@@ -0,0 +1,430 @@
|
|
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|
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|
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|
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|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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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": 0.18686006825938567,
|
| 6 |
+
"acc_stderr,none": 0.011391015649694396,
|
| 7 |
+
"acc_norm,none": 0.24146757679180889,
|
| 8 |
+
"acc_norm_stderr,none": 0.012506564839739432
|
| 9 |
+
},
|
| 10 |
+
"arc_easy": {
|
| 11 |
+
"acc,none": 0.45707070707070707,
|
| 12 |
+
"acc_stderr,none": 0.010221897564256042,
|
| 13 |
+
"acc_norm,none": 0.4335016835016835,
|
| 14 |
+
"acc_norm_stderr,none": 0.010168640625454107
|
| 15 |
+
},
|
| 16 |
+
"boolq": {
|
| 17 |
+
"acc,none": 0.5938837920489297,
|
| 18 |
+
"acc_stderr,none": 0.008589510943787407
|
| 19 |
+
},
|
| 20 |
+
"hellaswag": {
|
| 21 |
+
"acc,none": 0.2861979685321649,
|
| 22 |
+
"acc_stderr,none": 0.004510593395289897,
|
| 23 |
+
"acc_norm,none": 0.3037243576976698,
|
| 24 |
+
"acc_norm_stderr,none": 0.00458925224362782
|
| 25 |
+
},
|
| 26 |
+
"lambada_openai": {
|
| 27 |
+
"perplexity,none": 60.10678259260095,
|
| 28 |
+
"perplexity_stderr,none": 2.70306190425745,
|
| 29 |
+
"acc,none": 0.2829419755482243,
|
| 30 |
+
"acc_stderr,none": 0.006275349431343604
|
| 31 |
+
},
|
| 32 |
+
"openbookqa": {
|
| 33 |
+
"acc,none": 0.164,
|
| 34 |
+
"acc_stderr,none": 0.016575811142446713,
|
| 35 |
+
"acc_norm,none": 0.256,
|
| 36 |
+
"acc_norm_stderr,none": 0.019536923574747598
|
| 37 |
+
},
|
| 38 |
+
"piqa": {
|
| 39 |
+
"acc,none": 0.6349292709466812,
|
| 40 |
+
"acc_stderr,none": 0.011233021830554834,
|
| 41 |
+
"acc_norm,none": 0.6305767138193689,
|
| 42 |
+
"acc_norm_stderr,none": 0.011260988628572333
|
| 43 |
+
},
|
| 44 |
+
"sciq": {
|
| 45 |
+
"acc,none": 0.77,
|
| 46 |
+
"acc_stderr,none": 0.013314551335935952,
|
| 47 |
+
"acc_norm,none": 0.747,
|
| 48 |
+
"acc_norm_stderr,none": 0.01375427861358708
|
| 49 |
+
},
|
| 50 |
+
"wikitext": {
|
| 51 |
+
"word_perplexity,none": 69.5803814818009,
|
| 52 |
+
"byte_perplexity,none": 2.012533549921474,
|
| 53 |
+
"bits_per_byte,none": 1.009012833861732
|
| 54 |
+
},
|
| 55 |
+
"winogrande": {
|
| 56 |
+
"acc,none": 0.516179952644041,
|
| 57 |
+
"acc_stderr,none": 0.0140451261309786
|
| 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 0x7f50b9b54040>",
|
| 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 0x7f50b9b26ef0>",
|
| 365 |
+
"doc_to_target": "<function doc_to_target at 0x7f50b9b27370>",
|
| 366 |
+
"doc_to_choice": "<function doc_to_choice at 0x7f50b9b275b0>",
|
| 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-pythia160m-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-pythia160m-hh-sft), limit: None, num_fewshot: 5, batch_size: 16
|
| 409 |
+
| Task |Version|Filter| Metric | Value | |Stderr|
|
| 410 |
+
|--------------|-------|------|---------------|------:|---|-----:|
|
| 411 |
+
|arc_challenge |Yaml |none |acc | 0.1869|± |0.0114|
|
| 412 |
+
| | |none |acc_norm | 0.2415|± |0.0125|
|
| 413 |
+
|arc_easy |Yaml |none |acc | 0.4571|± |0.0102|
|
| 414 |
+
| | |none |acc_norm | 0.4335|± |0.0102|
|
| 415 |
+
|boolq |Yaml |none |acc | 0.5939|± |0.0086|
|
| 416 |
+
|hellaswag |Yaml |none |acc | 0.2862|± |0.0045|
|
| 417 |
+
| | |none |acc_norm | 0.3037|± |0.0046|
|
| 418 |
+
|lambada_openai|Yaml |none |perplexity |60.1068|± |2.7031|
|
| 419 |
+
| | |none |acc | 0.2829|± |0.0063|
|
| 420 |
+
|openbookqa |Yaml |none |acc | 0.1640|± |0.0166|
|
| 421 |
+
| | |none |acc_norm | 0.2560|± |0.0195|
|
| 422 |
+
|piqa |Yaml |none |acc | 0.6349|± |0.0112|
|
| 423 |
+
| | |none |acc_norm | 0.6306|± |0.0113|
|
| 424 |
+
|sciq |Yaml |none |acc | 0.7700|± |0.0133|
|
| 425 |
+
| | |none |acc_norm | 0.7470|± |0.0138|
|
| 426 |
+
|wikitext |Yaml |none |word_perplexity|69.5804| | |
|
| 427 |
+
| | |none |byte_perplexity| 2.0125| | |
|
| 428 |
+
| | |none |bits_per_byte | 1.0090| | |
|
| 429 |
+
|winogrande |Yaml |none |acc | 0.5162|± |0.0140|
|
| 430 |
+
|
sft-160m-eval-files/sft-pythia-160m-5shot/results.json
ADDED
|
@@ -0,0 +1,406 @@
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|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"arc_challenge": {
|
| 4 |
+
"acc,none": 0.18686006825938567,
|
| 5 |
+
"acc_stderr,none": 0.011391015649694396,
|
| 6 |
+
"acc_norm,none": 0.24146757679180889,
|
| 7 |
+
"acc_norm_stderr,none": 0.012506564839739432
|
| 8 |
+
},
|
| 9 |
+
"arc_easy": {
|
| 10 |
+
"acc,none": 0.45707070707070707,
|
| 11 |
+
"acc_stderr,none": 0.010221897564256042,
|
| 12 |
+
"acc_norm,none": 0.4335016835016835,
|
| 13 |
+
"acc_norm_stderr,none": 0.010168640625454107
|
| 14 |
+
},
|
| 15 |
+
"boolq": {
|
| 16 |
+
"acc,none": 0.5938837920489297,
|
| 17 |
+
"acc_stderr,none": 0.008589510943787407
|
| 18 |
+
},
|
| 19 |
+
"hellaswag": {
|
| 20 |
+
"acc,none": 0.2861979685321649,
|
| 21 |
+
"acc_stderr,none": 0.004510593395289897,
|
| 22 |
+
"acc_norm,none": 0.3037243576976698,
|
| 23 |
+
"acc_norm_stderr,none": 0.00458925224362782
|
| 24 |
+
},
|
| 25 |
+
"lambada_openai": {
|
| 26 |
+
"perplexity,none": 60.10678259260095,
|
| 27 |
+
"perplexity_stderr,none": 2.70306190425745,
|
| 28 |
+
"acc,none": 0.2829419755482243,
|
| 29 |
+
"acc_stderr,none": 0.006275349431343604
|
| 30 |
+
},
|
| 31 |
+
"openbookqa": {
|
| 32 |
+
"acc,none": 0.164,
|
| 33 |
+
"acc_stderr,none": 0.016575811142446713,
|
| 34 |
+
"acc_norm,none": 0.256,
|
| 35 |
+
"acc_norm_stderr,none": 0.019536923574747598
|
| 36 |
+
},
|
| 37 |
+
"piqa": {
|
| 38 |
+
"acc,none": 0.6349292709466812,
|
| 39 |
+
"acc_stderr,none": 0.011233021830554834,
|
| 40 |
+
"acc_norm,none": 0.6305767138193689,
|
| 41 |
+
"acc_norm_stderr,none": 0.011260988628572333
|
| 42 |
+
},
|
| 43 |
+
"sciq": {
|
| 44 |
+
"acc,none": 0.77,
|
| 45 |
+
"acc_stderr,none": 0.013314551335935952,
|
| 46 |
+
"acc_norm,none": 0.747,
|
| 47 |
+
"acc_norm_stderr,none": 0.01375427861358708
|
| 48 |
+
},
|
| 49 |
+
"wikitext": {
|
| 50 |
+
"word_perplexity,none": 69.5803814818009,
|
| 51 |
+
"byte_perplexity,none": 2.012533549921474,
|
| 52 |
+
"bits_per_byte,none": 1.009012833861732
|
| 53 |
+
},
|
| 54 |
+
"winogrande": {
|
| 55 |
+
"acc,none": 0.516179952644041,
|
| 56 |
+
"acc_stderr,none": 0.0140451261309786
|
| 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 0x7f50b9b54040>",
|
| 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 0x7f50b9b26ef0>",
|
| 364 |
+
"doc_to_target": "<function doc_to_target at 0x7f50b9b27370>",
|
| 365 |
+
"doc_to_choice": "<function doc_to_choice at 0x7f50b9b275b0>",
|
| 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-pythia160m-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 |
+
}
|