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dpo-410m-eval-files/EleutherAI-pythia-410m-0shot-shelloutput.txt
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| 1 |
+
bootstrapping for stddev: perplexity
|
| 2 |
+
{
|
| 3 |
+
"results": {
|
| 4 |
+
"arc_challenge": {
|
| 5 |
+
"acc,none": 0.21416382252559726,
|
| 6 |
+
"acc_stderr,none": 0.011988383205966515,
|
| 7 |
+
"acc_norm,none": 0.2431740614334471,
|
| 8 |
+
"acc_norm_stderr,none": 0.012536554144587084
|
| 9 |
+
},
|
| 10 |
+
"arc_easy": {
|
| 11 |
+
"acc,none": 0.5189393939393939,
|
| 12 |
+
"acc_stderr,none": 0.01025242049689449,
|
| 13 |
+
"acc_norm,none": 0.45707070707070707,
|
| 14 |
+
"acc_norm_stderr,none": 0.010221897564256049
|
| 15 |
+
},
|
| 16 |
+
"boolq": {
|
| 17 |
+
"acc,none": 0.6058103975535168,
|
| 18 |
+
"acc_stderr,none": 0.008546995661233639
|
| 19 |
+
},
|
| 20 |
+
"hellaswag": {
|
| 21 |
+
"acc,none": 0.33718382792272455,
|
| 22 |
+
"acc_stderr,none": 0.004717820714968757,
|
| 23 |
+
"acc_norm,none": 0.4060944035052778,
|
| 24 |
+
"acc_norm_stderr,none": 0.004900988997414242
|
| 25 |
+
},
|
| 26 |
+
"lambada_openai": {
|
| 27 |
+
"perplexity,none": 10.780459714601333,
|
| 28 |
+
"perplexity_stderr,none": 0.32049412467424027,
|
| 29 |
+
"acc,none": 0.5163982146322531,
|
| 30 |
+
"acc_stderr,none": 0.006962230326368326
|
| 31 |
+
},
|
| 32 |
+
"openbookqa": {
|
| 33 |
+
"acc,none": 0.182,
|
| 34 |
+
"acc_stderr,none": 0.01727277329773045,
|
| 35 |
+
"acc_norm,none": 0.294,
|
| 36 |
+
"acc_norm_stderr,none": 0.020395095484936624
|
| 37 |
+
},
|
| 38 |
+
"piqa": {
|
| 39 |
+
"acc,none": 0.6670293797606094,
|
| 40 |
+
"acc_stderr,none": 0.010995648822619082,
|
| 41 |
+
"acc_norm,none": 0.6719260065288357,
|
| 42 |
+
"acc_norm_stderr,none": 0.010954487135124227
|
| 43 |
+
},
|
| 44 |
+
"sciq": {
|
| 45 |
+
"acc,none": 0.815,
|
| 46 |
+
"acc_stderr,none": 0.012285191326386667,
|
| 47 |
+
"acc_norm,none": 0.725,
|
| 48 |
+
"acc_norm_stderr,none": 0.014127086556490528
|
| 49 |
+
},
|
| 50 |
+
"wikitext": {
|
| 51 |
+
"word_perplexity,none": 34.50450469911897,
|
| 52 |
+
"byte_perplexity,none": 1.7927778872125213,
|
| 53 |
+
"bits_per_byte,none": 0.842196759334895
|
| 54 |
+
},
|
| 55 |
+
"winogrande": {
|
| 56 |
+
"acc,none": 0.5335438042620363,
|
| 57 |
+
"acc_stderr,none": 0.014020826677598103
|
| 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 0x7fae1b130040>",
|
| 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 0x7fae1b102ef0>",
|
| 365 |
+
"doc_to_target": "<function doc_to_target at 0x7fae1b103370>",
|
| 366 |
+
"doc_to_choice": "<function doc_to_choice at 0x7fae1b1035b0>",
|
| 367 |
+
"description": "",
|
| 368 |
+
"target_delimiter": " ",
|
| 369 |
+
"fewshot_delimiter": "\n\n",
|
| 370 |
+
"num_fewshot": 0,
|
| 371 |
+
"metric_list": [
|
| 372 |
+
{
|
| 373 |
+
"metric": "acc",
|
| 374 |
+
"aggregation": "mean",
|
| 375 |
+
"higher_is_better": true
|
| 376 |
+
}
|
| 377 |
+
],
|
| 378 |
+
"output_type": "multiple_choice",
|
| 379 |
+
"repeats": 1,
|
| 380 |
+
"should_decontaminate": false
|
| 381 |
+
}
|
| 382 |
+
},
|
| 383 |
+
"versions": {
|
| 384 |
+
"arc_challenge": "Yaml",
|
| 385 |
+
"arc_easy": "Yaml",
|
| 386 |
+
"boolq": "Yaml",
|
| 387 |
+
"hellaswag": "Yaml",
|
| 388 |
+
"lambada_openai": "Yaml",
|
| 389 |
+
"openbookqa": "Yaml",
|
| 390 |
+
"piqa": "Yaml",
|
| 391 |
+
"sciq": "Yaml",
|
| 392 |
+
"wikitext": "Yaml",
|
| 393 |
+
"winogrande": "Yaml"
|
| 394 |
+
},
|
| 395 |
+
"config": {
|
| 396 |
+
"model": "hf",
|
| 397 |
+
"model_args": "pretrained=EleutherAI/pythia-410m",
|
| 398 |
+
"num_fewshot": 0,
|
| 399 |
+
"batch_size": 16,
|
| 400 |
+
"batch_sizes": [],
|
| 401 |
+
"device": "cuda:0",
|
| 402 |
+
"use_cache": null,
|
| 403 |
+
"limit": null,
|
| 404 |
+
"bootstrap_iters": 100000
|
| 405 |
+
},
|
| 406 |
+
"git_hash": "4e44f0a"
|
| 407 |
+
}
|
| 408 |
+
hf (pretrained=EleutherAI/pythia-410m), limit: None, num_fewshot: 0, batch_size: 16
|
| 409 |
+
| Task |Version|Filter| Metric | Value | |Stderr|
|
| 410 |
+
|--------------|-------|------|---------------|------:|---|-----:|
|
| 411 |
+
|arc_challenge |Yaml |none |acc | 0.2142|± |0.0120|
|
| 412 |
+
| | |none |acc_norm | 0.2432|± |0.0125|
|
| 413 |
+
|arc_easy |Yaml |none |acc | 0.5189|± |0.0103|
|
| 414 |
+
| | |none |acc_norm | 0.4571|± |0.0102|
|
| 415 |
+
|boolq |Yaml |none |acc | 0.6058|± |0.0085|
|
| 416 |
+
|hellaswag |Yaml |none |acc | 0.3372|± |0.0047|
|
| 417 |
+
| | |none |acc_norm | 0.4061|± |0.0049|
|
| 418 |
+
|lambada_openai|Yaml |none |perplexity |10.7805|± |0.3205|
|
| 419 |
+
| | |none |acc | 0.5164|± |0.0070|
|
| 420 |
+
|openbookqa |Yaml |none |acc | 0.1820|± |0.0173|
|
| 421 |
+
| | |none |acc_norm | 0.2940|± |0.0204|
|
| 422 |
+
|piqa |Yaml |none |acc | 0.6670|± |0.0110|
|
| 423 |
+
| | |none |acc_norm | 0.6719|± |0.0110|
|
| 424 |
+
|sciq |Yaml |none |acc | 0.8150|± |0.0123|
|
| 425 |
+
| | |none |acc_norm | 0.7250|± |0.0141|
|
| 426 |
+
|wikitext |Yaml |none |word_perplexity|34.5045| | |
|
| 427 |
+
| | |none |byte_perplexity| 1.7928| | |
|
| 428 |
+
| | |none |bits_per_byte | 0.8422| | |
|
| 429 |
+
|winogrande |Yaml |none |acc | 0.5335|± |0.0140|
|
| 430 |
+
|
dpo-410m-eval-files/EleutherAI-pythia-410m-5shot-shelloutput.txt
ADDED
|
@@ -0,0 +1,440 @@
|
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| 1 |
+
Downloading and preparing dataset super_glue/boolq to /home/laura/.cache/huggingface/datasets/super_glue/boolq/1.0.3/bb9675f958ebfee0d5d6dc5476fafe38c79123727a7258d515c450873dbdbbed...
|
| 2 |
+
Dataset super_glue downloaded and prepared to /home/laura/.cache/huggingface/datasets/super_glue/boolq/1.0.3/bb9675f958ebfee0d5d6dc5476fafe38c79123727a7258d515c450873dbdbbed. Subsequent calls will reuse this data.
|
| 3 |
+
Downloading and preparing dataset openbookqa/main to /home/laura/.cache/huggingface/datasets/openbookqa/main/1.0.1/f338ccacfbc86fb8c2de3aa1c06d2ce686933de3bca284dba97d32592c52b33f...
|
| 4 |
+
Dataset openbookqa downloaded and prepared to /home/laura/.cache/huggingface/datasets/openbookqa/main/1.0.1/f338ccacfbc86fb8c2de3aa1c06d2ce686933de3bca284dba97d32592c52b33f. Subsequent calls will reuse this data.
|
| 5 |
+
Downloading and preparing dataset piqa/plain_text to /home/laura/.cache/huggingface/datasets/piqa/plain_text/1.1.0/6c611c1a9bf220943c4174e117d3b660859665baf1d43156230116185312d011...
|
| 6 |
+
Dataset piqa downloaded and prepared to /home/laura/.cache/huggingface/datasets/piqa/plain_text/1.1.0/6c611c1a9bf220943c4174e117d3b660859665baf1d43156230116185312d011. Subsequent calls will reuse this data.
|
| 7 |
+
Downloading and preparing dataset sciq/default to /home/laura/.cache/huggingface/datasets/sciq/default/0.1.0/50e5c6e3795b55463819d399ec417bfd4c3c621105e00295ddb5f3633d708493...
|
| 8 |
+
Dataset sciq downloaded and prepared to /home/laura/.cache/huggingface/datasets/sciq/default/0.1.0/50e5c6e3795b55463819d399ec417bfd4c3c621105e00295ddb5f3633d708493. Subsequent calls will reuse this data.
|
| 9 |
+
Downloading and preparing dataset winogrande/winogrande_xl to /home/laura/.cache/huggingface/datasets/winogrande/winogrande_xl/1.1.0/a826c3d3506aefe0e9e9390dcb53271070536586bab95849876b2c1743df56e2...
|
| 10 |
+
Dataset winogrande downloaded and prepared to /home/laura/.cache/huggingface/datasets/winogrande/winogrande_xl/1.1.0/a826c3d3506aefe0e9e9390dcb53271070536586bab95849876b2c1743df56e2. Subsequent calls will reuse this data.
|
| 11 |
+
bootstrapping for stddev: perplexity
|
| 12 |
+
{
|
| 13 |
+
"results": {
|
| 14 |
+
"arc_challenge": {
|
| 15 |
+
"acc,none": 0.21843003412969283,
|
| 16 |
+
"acc_stderr,none": 0.012074291605700959,
|
| 17 |
+
"acc_norm,none": 0.2645051194539249,
|
| 18 |
+
"acc_norm_stderr,none": 0.012889272949313368
|
| 19 |
+
},
|
| 20 |
+
"arc_easy": {
|
| 21 |
+
"acc,none": 0.54503367003367,
|
| 22 |
+
"acc_stderr,none": 0.010218084454602589,
|
| 23 |
+
"acc_norm,none": 0.5370370370370371,
|
| 24 |
+
"acc_norm_stderr,none": 0.010231597249131058
|
| 25 |
+
},
|
| 26 |
+
"boolq": {
|
| 27 |
+
"acc,none": 0.4871559633027523,
|
| 28 |
+
"acc_stderr,none": 0.008742169169427067
|
| 29 |
+
},
|
| 30 |
+
"hellaswag": {
|
| 31 |
+
"acc,none": 0.33827922724556864,
|
| 32 |
+
"acc_stderr,none": 0.004721571443354456,
|
| 33 |
+
"acc_norm,none": 0.40818562039434375,
|
| 34 |
+
"acc_norm_stderr,none": 0.004904933500255884
|
| 35 |
+
},
|
| 36 |
+
"lambada_openai": {
|
| 37 |
+
"perplexity,none": 14.485555582236119,
|
| 38 |
+
"perplexity_stderr,none": 0.4358013409476018,
|
| 39 |
+
"acc,none": 0.4422666407917718,
|
| 40 |
+
"acc_stderr,none": 0.006919384666875831
|
| 41 |
+
},
|
| 42 |
+
"openbookqa": {
|
| 43 |
+
"acc,none": 0.188,
|
| 44 |
+
"acc_stderr,none": 0.01749067888034625,
|
| 45 |
+
"acc_norm,none": 0.28,
|
| 46 |
+
"acc_norm_stderr,none": 0.020099950647503237
|
| 47 |
+
},
|
| 48 |
+
"piqa": {
|
| 49 |
+
"acc,none": 0.6806311207834603,
|
| 50 |
+
"acc_stderr,none": 0.010877964076613737,
|
| 51 |
+
"acc_norm,none": 0.6692056583242655,
|
| 52 |
+
"acc_norm_stderr,none": 0.010977520584714429
|
| 53 |
+
},
|
| 54 |
+
"sciq": {
|
| 55 |
+
"acc,none": 0.892,
|
| 56 |
+
"acc_stderr,none": 0.009820001651345682,
|
| 57 |
+
"acc_norm,none": 0.887,
|
| 58 |
+
"acc_norm_stderr,none": 0.01001655286669685
|
| 59 |
+
},
|
| 60 |
+
"wikitext": {
|
| 61 |
+
"word_perplexity,none": 34.50450469911897,
|
| 62 |
+
"byte_perplexity,none": 1.7927778872125213,
|
| 63 |
+
"bits_per_byte,none": 0.842196759334895
|
| 64 |
+
},
|
| 65 |
+
"winogrande": {
|
| 66 |
+
"acc,none": 0.5335438042620363,
|
| 67 |
+
"acc_stderr,none": 0.014020826677598103
|
| 68 |
+
}
|
| 69 |
+
},
|
| 70 |
+
"configs": {
|
| 71 |
+
"arc_challenge": {
|
| 72 |
+
"task": "arc_challenge",
|
| 73 |
+
"group": [
|
| 74 |
+
"ai2_arc",
|
| 75 |
+
"multiple_choice"
|
| 76 |
+
],
|
| 77 |
+
"dataset_path": "ai2_arc",
|
| 78 |
+
"dataset_name": "ARC-Challenge",
|
| 79 |
+
"training_split": "train",
|
| 80 |
+
"validation_split": "validation",
|
| 81 |
+
"test_split": "test",
|
| 82 |
+
"doc_to_text": "Question: {{question}}\nAnswer:",
|
| 83 |
+
"doc_to_target": "{{choices.label.index(answerKey)}}",
|
| 84 |
+
"doc_to_choice": "{{choices.text}}",
|
| 85 |
+
"description": "",
|
| 86 |
+
"target_delimiter": " ",
|
| 87 |
+
"fewshot_delimiter": "\n\n",
|
| 88 |
+
"num_fewshot": 5,
|
| 89 |
+
"metric_list": [
|
| 90 |
+
{
|
| 91 |
+
"metric": "acc",
|
| 92 |
+
"aggregation": "mean",
|
| 93 |
+
"higher_is_better": true
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"metric": "acc_norm",
|
| 97 |
+
"aggregation": "mean",
|
| 98 |
+
"higher_is_better": true
|
| 99 |
+
}
|
| 100 |
+
],
|
| 101 |
+
"output_type": "multiple_choice",
|
| 102 |
+
"repeats": 1,
|
| 103 |
+
"should_decontaminate": true,
|
| 104 |
+
"doc_to_decontamination_query": "Question: {{question}}\nAnswer:"
|
| 105 |
+
},
|
| 106 |
+
"arc_easy": {
|
| 107 |
+
"task": "arc_easy",
|
| 108 |
+
"group": [
|
| 109 |
+
"ai2_arc",
|
| 110 |
+
"multiple_choice"
|
| 111 |
+
],
|
| 112 |
+
"dataset_path": "ai2_arc",
|
| 113 |
+
"dataset_name": "ARC-Easy",
|
| 114 |
+
"training_split": "train",
|
| 115 |
+
"validation_split": "validation",
|
| 116 |
+
"test_split": "test",
|
| 117 |
+
"doc_to_text": "Question: {{question}}\nAnswer:",
|
| 118 |
+
"doc_to_target": "{{choices.label.index(answerKey)}}",
|
| 119 |
+
"doc_to_choice": "{{choices.text}}",
|
| 120 |
+
"description": "",
|
| 121 |
+
"target_delimiter": " ",
|
| 122 |
+
"fewshot_delimiter": "\n\n",
|
| 123 |
+
"num_fewshot": 5,
|
| 124 |
+
"metric_list": [
|
| 125 |
+
{
|
| 126 |
+
"metric": "acc",
|
| 127 |
+
"aggregation": "mean",
|
| 128 |
+
"higher_is_better": true
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"metric": "acc_norm",
|
| 132 |
+
"aggregation": "mean",
|
| 133 |
+
"higher_is_better": true
|
| 134 |
+
}
|
| 135 |
+
],
|
| 136 |
+
"output_type": "multiple_choice",
|
| 137 |
+
"repeats": 1,
|
| 138 |
+
"should_decontaminate": true,
|
| 139 |
+
"doc_to_decontamination_query": "Question: {{question}}\nAnswer:"
|
| 140 |
+
},
|
| 141 |
+
"boolq": {
|
| 142 |
+
"task": "boolq",
|
| 143 |
+
"group": [
|
| 144 |
+
"super-glue-lm-eval-v1"
|
| 145 |
+
],
|
| 146 |
+
"dataset_path": "super_glue",
|
| 147 |
+
"dataset_name": "boolq",
|
| 148 |
+
"training_split": "train",
|
| 149 |
+
"validation_split": "validation",
|
| 150 |
+
"doc_to_text": "{{passage}}\nQuestion: {{question}}?\nAnswer:",
|
| 151 |
+
"doc_to_target": "label",
|
| 152 |
+
"doc_to_choice": [
|
| 153 |
+
"no",
|
| 154 |
+
"yes"
|
| 155 |
+
],
|
| 156 |
+
"description": "",
|
| 157 |
+
"target_delimiter": " ",
|
| 158 |
+
"fewshot_delimiter": "\n\n",
|
| 159 |
+
"num_fewshot": 5,
|
| 160 |
+
"metric_list": [
|
| 161 |
+
{
|
| 162 |
+
"metric": "acc"
|
| 163 |
+
}
|
| 164 |
+
],
|
| 165 |
+
"output_type": "multiple_choice",
|
| 166 |
+
"repeats": 1,
|
| 167 |
+
"should_decontaminate": true,
|
| 168 |
+
"doc_to_decontamination_query": "passage"
|
| 169 |
+
},
|
| 170 |
+
"hellaswag": {
|
| 171 |
+
"task": "hellaswag",
|
| 172 |
+
"group": [
|
| 173 |
+
"multiple_choice"
|
| 174 |
+
],
|
| 175 |
+
"dataset_path": "hellaswag",
|
| 176 |
+
"training_split": "train",
|
| 177 |
+
"validation_split": "validation",
|
| 178 |
+
"doc_to_text": "{% set text = activity_label ~ ': ' ~ ctx_a ~ ' ' ~ ctx_b.capitalize() %}{{text|trim|replace(' [title]', '. ')|regex_replace('\\[.*?\\]', '')|replace(' ', ' ')}}",
|
| 179 |
+
"doc_to_target": "{{label}}",
|
| 180 |
+
"doc_to_choice": "{{endings|map('trim')|map('replace', ' [title]', '. ')|map('regex_replace', '\\[.*?\\]', '')|map('replace', ' ', ' ')|list}}",
|
| 181 |
+
"description": "",
|
| 182 |
+
"target_delimiter": " ",
|
| 183 |
+
"fewshot_delimiter": "\n\n",
|
| 184 |
+
"num_fewshot": 5,
|
| 185 |
+
"metric_list": [
|
| 186 |
+
{
|
| 187 |
+
"metric": "acc",
|
| 188 |
+
"aggregation": "mean",
|
| 189 |
+
"higher_is_better": true
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"metric": "acc_norm",
|
| 193 |
+
"aggregation": "mean",
|
| 194 |
+
"higher_is_better": true
|
| 195 |
+
}
|
| 196 |
+
],
|
| 197 |
+
"output_type": "multiple_choice",
|
| 198 |
+
"repeats": 1,
|
| 199 |
+
"should_decontaminate": false
|
| 200 |
+
},
|
| 201 |
+
"lambada_openai": {
|
| 202 |
+
"task": "lambada_openai",
|
| 203 |
+
"group": [
|
| 204 |
+
"lambada",
|
| 205 |
+
"loglikelihood",
|
| 206 |
+
"perplexity"
|
| 207 |
+
],
|
| 208 |
+
"dataset_path": "EleutherAI/lambada_openai",
|
| 209 |
+
"dataset_name": "default",
|
| 210 |
+
"test_split": "test",
|
| 211 |
+
"template_aliases": "",
|
| 212 |
+
"doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}",
|
| 213 |
+
"doc_to_target": "{{' '+text.split(' ')[-1]}}",
|
| 214 |
+
"description": "",
|
| 215 |
+
"target_delimiter": " ",
|
| 216 |
+
"fewshot_delimiter": "\n\n",
|
| 217 |
+
"num_fewshot": 5,
|
| 218 |
+
"metric_list": [
|
| 219 |
+
{
|
| 220 |
+
"metric": "perplexity",
|
| 221 |
+
"aggregation": "perplexity",
|
| 222 |
+
"higher_is_better": false
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"metric": "acc",
|
| 226 |
+
"aggregation": "mean",
|
| 227 |
+
"higher_is_better": true
|
| 228 |
+
}
|
| 229 |
+
],
|
| 230 |
+
"output_type": "loglikelihood",
|
| 231 |
+
"repeats": 1,
|
| 232 |
+
"should_decontaminate": true,
|
| 233 |
+
"doc_to_decontamination_query": "{{text}}"
|
| 234 |
+
},
|
| 235 |
+
"openbookqa": {
|
| 236 |
+
"task": "openbookqa",
|
| 237 |
+
"group": [
|
| 238 |
+
"multiple_choice"
|
| 239 |
+
],
|
| 240 |
+
"dataset_path": "openbookqa",
|
| 241 |
+
"dataset_name": "main",
|
| 242 |
+
"training_split": "train",
|
| 243 |
+
"validation_split": "validation",
|
| 244 |
+
"test_split": "test",
|
| 245 |
+
"doc_to_text": "question_stem",
|
| 246 |
+
"doc_to_target": "{{choices.label.index(answerKey.lstrip())}}",
|
| 247 |
+
"doc_to_choice": "{{choices.text}}",
|
| 248 |
+
"description": "",
|
| 249 |
+
"target_delimiter": " ",
|
| 250 |
+
"fewshot_delimiter": "\n\n",
|
| 251 |
+
"num_fewshot": 5,
|
| 252 |
+
"metric_list": [
|
| 253 |
+
{
|
| 254 |
+
"metric": "acc",
|
| 255 |
+
"aggregation": "mean",
|
| 256 |
+
"higher_is_better": true
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"metric": "acc_norm",
|
| 260 |
+
"aggregation": "mean",
|
| 261 |
+
"higher_is_better": true
|
| 262 |
+
}
|
| 263 |
+
],
|
| 264 |
+
"output_type": "multiple_choice",
|
| 265 |
+
"repeats": 1,
|
| 266 |
+
"should_decontaminate": true,
|
| 267 |
+
"doc_to_decontamination_query": "question_stem"
|
| 268 |
+
},
|
| 269 |
+
"piqa": {
|
| 270 |
+
"task": "piqa",
|
| 271 |
+
"group": [
|
| 272 |
+
"multiple_choice"
|
| 273 |
+
],
|
| 274 |
+
"dataset_path": "piqa",
|
| 275 |
+
"training_split": "train",
|
| 276 |
+
"validation_split": "validation",
|
| 277 |
+
"doc_to_text": "Question: {{goal}}\nAnswer:",
|
| 278 |
+
"doc_to_target": "label",
|
| 279 |
+
"doc_to_choice": "{{[sol1, sol2]}}",
|
| 280 |
+
"description": "",
|
| 281 |
+
"target_delimiter": " ",
|
| 282 |
+
"fewshot_delimiter": "\n\n",
|
| 283 |
+
"num_fewshot": 5,
|
| 284 |
+
"metric_list": [
|
| 285 |
+
{
|
| 286 |
+
"metric": "acc",
|
| 287 |
+
"aggregation": "mean",
|
| 288 |
+
"higher_is_better": true
|
| 289 |
+
},
|
| 290 |
+
{
|
| 291 |
+
"metric": "acc_norm",
|
| 292 |
+
"aggregation": "mean",
|
| 293 |
+
"higher_is_better": true
|
| 294 |
+
}
|
| 295 |
+
],
|
| 296 |
+
"output_type": "multiple_choice",
|
| 297 |
+
"repeats": 1,
|
| 298 |
+
"should_decontaminate": true,
|
| 299 |
+
"doc_to_decontamination_query": "goal"
|
| 300 |
+
},
|
| 301 |
+
"sciq": {
|
| 302 |
+
"task": "sciq",
|
| 303 |
+
"group": [
|
| 304 |
+
"multiple_choice"
|
| 305 |
+
],
|
| 306 |
+
"dataset_path": "sciq",
|
| 307 |
+
"training_split": "train",
|
| 308 |
+
"validation_split": "validation",
|
| 309 |
+
"test_split": "test",
|
| 310 |
+
"doc_to_text": "{{support.lstrip()}}\nQuestion: {{question}}\nAnswer:",
|
| 311 |
+
"doc_to_target": 3,
|
| 312 |
+
"doc_to_choice": "{{[distractor1, distractor2, distractor3, correct_answer]}}",
|
| 313 |
+
"description": "",
|
| 314 |
+
"target_delimiter": " ",
|
| 315 |
+
"fewshot_delimiter": "\n\n",
|
| 316 |
+
"num_fewshot": 5,
|
| 317 |
+
"metric_list": [
|
| 318 |
+
{
|
| 319 |
+
"metric": "acc",
|
| 320 |
+
"aggregation": "mean",
|
| 321 |
+
"higher_is_better": true
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"metric": "acc_norm",
|
| 325 |
+
"aggregation": "mean",
|
| 326 |
+
"higher_is_better": true
|
| 327 |
+
}
|
| 328 |
+
],
|
| 329 |
+
"output_type": "multiple_choice",
|
| 330 |
+
"repeats": 1,
|
| 331 |
+
"should_decontaminate": true,
|
| 332 |
+
"doc_to_decontamination_query": "{{support}} {{question}}"
|
| 333 |
+
},
|
| 334 |
+
"wikitext": {
|
| 335 |
+
"task": "wikitext",
|
| 336 |
+
"group": [
|
| 337 |
+
"perplexity",
|
| 338 |
+
"loglikelihood_rolling"
|
| 339 |
+
],
|
| 340 |
+
"dataset_path": "EleutherAI/wikitext_document_level",
|
| 341 |
+
"dataset_name": "wikitext-2-raw-v1",
|
| 342 |
+
"training_split": "train",
|
| 343 |
+
"validation_split": "validation",
|
| 344 |
+
"test_split": "test",
|
| 345 |
+
"template_aliases": "",
|
| 346 |
+
"doc_to_text": "",
|
| 347 |
+
"doc_to_target": "<function wikitext_detokenizer at 0x7efb86530040>",
|
| 348 |
+
"description": "",
|
| 349 |
+
"target_delimiter": " ",
|
| 350 |
+
"fewshot_delimiter": "\n\n",
|
| 351 |
+
"num_fewshot": 5,
|
| 352 |
+
"metric_list": [
|
| 353 |
+
{
|
| 354 |
+
"metric": "word_perplexity"
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"metric": "byte_perplexity"
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"metric": "bits_per_byte"
|
| 361 |
+
}
|
| 362 |
+
],
|
| 363 |
+
"output_type": "loglikelihood_rolling",
|
| 364 |
+
"repeats": 1,
|
| 365 |
+
"should_decontaminate": true,
|
| 366 |
+
"doc_to_decontamination_query": "{{page}}"
|
| 367 |
+
},
|
| 368 |
+
"winogrande": {
|
| 369 |
+
"task": "winogrande",
|
| 370 |
+
"dataset_path": "winogrande",
|
| 371 |
+
"dataset_name": "winogrande_xl",
|
| 372 |
+
"training_split": "train",
|
| 373 |
+
"validation_split": "validation",
|
| 374 |
+
"doc_to_text": "<function doc_to_text at 0x7efb86502ef0>",
|
| 375 |
+
"doc_to_target": "<function doc_to_target at 0x7efb86503370>",
|
| 376 |
+
"doc_to_choice": "<function doc_to_choice at 0x7efb865035b0>",
|
| 377 |
+
"description": "",
|
| 378 |
+
"target_delimiter": " ",
|
| 379 |
+
"fewshot_delimiter": "\n\n",
|
| 380 |
+
"num_fewshot": 5,
|
| 381 |
+
"metric_list": [
|
| 382 |
+
{
|
| 383 |
+
"metric": "acc",
|
| 384 |
+
"aggregation": "mean",
|
| 385 |
+
"higher_is_better": true
|
| 386 |
+
}
|
| 387 |
+
],
|
| 388 |
+
"output_type": "multiple_choice",
|
| 389 |
+
"repeats": 1,
|
| 390 |
+
"should_decontaminate": false
|
| 391 |
+
}
|
| 392 |
+
},
|
| 393 |
+
"versions": {
|
| 394 |
+
"arc_challenge": "Yaml",
|
| 395 |
+
"arc_easy": "Yaml",
|
| 396 |
+
"boolq": "Yaml",
|
| 397 |
+
"hellaswag": "Yaml",
|
| 398 |
+
"lambada_openai": "Yaml",
|
| 399 |
+
"openbookqa": "Yaml",
|
| 400 |
+
"piqa": "Yaml",
|
| 401 |
+
"sciq": "Yaml",
|
| 402 |
+
"wikitext": "Yaml",
|
| 403 |
+
"winogrande": "Yaml"
|
| 404 |
+
},
|
| 405 |
+
"config": {
|
| 406 |
+
"model": "hf",
|
| 407 |
+
"model_args": "pretrained=EleutherAI/pythia-410m",
|
| 408 |
+
"num_fewshot": 5,
|
| 409 |
+
"batch_size": 16,
|
| 410 |
+
"batch_sizes": [],
|
| 411 |
+
"device": "cuda:0",
|
| 412 |
+
"use_cache": null,
|
| 413 |
+
"limit": null,
|
| 414 |
+
"bootstrap_iters": 100000
|
| 415 |
+
},
|
| 416 |
+
"git_hash": "4e44f0a"
|
| 417 |
+
}
|
| 418 |
+
hf (pretrained=EleutherAI/pythia-410m), limit: None, num_fewshot: 5, batch_size: 16
|
| 419 |
+
| Task |Version|Filter| Metric | Value | |Stderr|
|
| 420 |
+
|--------------|-------|------|---------------|------:|---|-----:|
|
| 421 |
+
|arc_challenge |Yaml |none |acc | 0.2184|± |0.0121|
|
| 422 |
+
| | |none |acc_norm | 0.2645|± |0.0129|
|
| 423 |
+
|arc_easy |Yaml |none |acc | 0.5450|± |0.0102|
|
| 424 |
+
| | |none |acc_norm | 0.5370|± |0.0102|
|
| 425 |
+
|boolq |Yaml |none |acc | 0.4872|± |0.0087|
|
| 426 |
+
|hellaswag |Yaml |none |acc | 0.3383|± |0.0047|
|
| 427 |
+
| | |none |acc_norm | 0.4082|± |0.0049|
|
| 428 |
+
|lambada_openai|Yaml |none |perplexity |14.4856|± |0.4358|
|
| 429 |
+
| | |none |acc | 0.4423|± |0.0069|
|
| 430 |
+
|openbookqa |Yaml |none |acc | 0.1880|± |0.0175|
|
| 431 |
+
| | |none |acc_norm | 0.2800|± |0.0201|
|
| 432 |
+
|piqa |Yaml |none |acc | 0.6806|± |0.0109|
|
| 433 |
+
| | |none |acc_norm | 0.6692|± |0.0110|
|
| 434 |
+
|sciq |Yaml |none |acc | 0.8920|± |0.0098|
|
| 435 |
+
| | |none |acc_norm | 0.8870|± |0.0100|
|
| 436 |
+
|wikitext |Yaml |none |word_perplexity|34.5045| | |
|
| 437 |
+
| | |none |byte_perplexity| 1.7928| | |
|
| 438 |
+
| | |none |bits_per_byte | 0.8422| | |
|
| 439 |
+
|winogrande |Yaml |none |acc | 0.5335|± |0.0140|
|
| 440 |
+
|