Commit
·
bb3556d
1
Parent(s):
168ece4
Add evaluation (#27)
Browse files- Add evaluation (f4d13b5ba0ecc4e0ef2ac892aadcc7daa33d3529)
- eng -> fra for crows_pairs_french (b07b3ae34315243657bf764d1ef5cf87d627dd50)
- Move to subsection (f1a18285e419e05ef30872b0f1aa6c0a62ed5782)
- Fix typos (d5d729d96775c846213efcc7c802613a4dd2c728)
- Update training statistics (5ebccd1f300f458cfed43489512b120a51a2ef2a)
- Update README.md (094e07d1004d2663cefd5f19fd8fe6282e0872c7)
Co-authored-by: Niklas Muennighoff <[email protected]>
README.md
CHANGED
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@@ -155,6 +155,1601 @@ widget:
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A: Let's think step by step.
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example_title: Mathematical reasoning
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group: English
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| 158 |
---
|
| 159 |
|
| 160 |
<img src="https://s3.amazonaws.com/moonup/production/uploads/1657124309515-5f17f0a0925b9863e28ad517.png" alt="BigScience Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
|
|
@@ -559,28 +2154,182 @@ Includes:
|
|
| 559 |
And multiple different metrics for specific tasks. _(More evaluation metrics forthcoming upon completion of evaluation protocol.)_
|
| 560 |
|
| 561 |
## Factors
|
| 562 |
-
*This section lists some different aspects of
|
| 563 |
|
| 564 |
- Language, such as English or Yoruba
|
| 565 |
|
| 566 |
- Domain, such as newswire or stories
|
| 567 |
-
|
| 568 |
- Demographic characteristics, such as gender or nationality
|
| 569 |
|
| 570 |
## Results
|
| 571 |
*Results are based on the [Factors](#factors) and [Metrics](#metrics).*
|
| 572 |
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 573 |
**Train-time Evaluation:**
|
| 574 |
|
| 575 |
-
|
| 576 |
|
| 577 |
-
- Training Loss:
|
| 578 |
|
| 579 |
-
- Validation Loss: 2.
|
| 580 |
|
| 581 |
-
- Perplexity:
|
| 582 |
|
| 583 |
-
|
| 584 |
|
| 585 |
</details>
|
| 586 |
|
|
@@ -675,4 +2424,4 @@ Initial prompting experiments using interim checkpoints: https://huggingface.co/
|
|
| 675 |
# Model Card Authors
|
| 676 |
*Ordered roughly chronologically and by amount of time spent.*
|
| 677 |
|
| 678 |
-
Margaret Mitchell, Giada Pistilli, Yacine Jernite, Ezinwanne Ozoani, Marissa Gerchick, Nazneen Rajani, Sasha Luccioni, Irene Solaiman, Maraim Masoud, Somaieh Nikpoor, Carlos Muñoz Ferrandis, Stas Bekman, Christopher Akiki, Danish Contractor, David Lansky, Angelina McMillan-Major, Tristan Thrush, Suzana Ilić, Gérard Dupont, Shayne Longpre, Manan Dey, Stella Biderman, Douwe Kiela, Emi Baylor, Teven Le Scao, Aaron Gokaslan, Julien Launay
|
|
|
|
| 155 |
A: Let's think step by step.
|
| 156 |
example_title: Mathematical reasoning
|
| 157 |
group: English
|
| 158 |
+
model-index:
|
| 159 |
+
- name: bloom
|
| 160 |
+
results:
|
| 161 |
+
- task:
|
| 162 |
+
type: text-generation
|
| 163 |
+
name: text generation
|
| 164 |
+
dataset:
|
| 165 |
+
name: arc_challenge
|
| 166 |
+
type: arc_challenge
|
| 167 |
+
metrics:
|
| 168 |
+
- name: acc
|
| 169 |
+
type: acc
|
| 170 |
+
value: 0.4112627986348123
|
| 171 |
+
verified: false
|
| 172 |
+
- task:
|
| 173 |
+
type: text-generation
|
| 174 |
+
name: text generation
|
| 175 |
+
dataset:
|
| 176 |
+
name: arc_easy
|
| 177 |
+
type: arc_easy
|
| 178 |
+
metrics:
|
| 179 |
+
- name: acc
|
| 180 |
+
type: acc
|
| 181 |
+
value: 0.726010101010101
|
| 182 |
+
verified: false
|
| 183 |
+
- task:
|
| 184 |
+
type: text-generation
|
| 185 |
+
name: text generation
|
| 186 |
+
dataset:
|
| 187 |
+
name: axb
|
| 188 |
+
type: axb
|
| 189 |
+
metrics:
|
| 190 |
+
- name: acc
|
| 191 |
+
type: acc
|
| 192 |
+
value: 0.5751811594202898
|
| 193 |
+
verified: false
|
| 194 |
+
- task:
|
| 195 |
+
type: text-generation
|
| 196 |
+
name: text generation
|
| 197 |
+
dataset:
|
| 198 |
+
name: axg
|
| 199 |
+
type: axg
|
| 200 |
+
metrics:
|
| 201 |
+
- name: acc
|
| 202 |
+
type: acc
|
| 203 |
+
value: 0.5252808988764045
|
| 204 |
+
verified: false
|
| 205 |
+
- task:
|
| 206 |
+
type: text-generation
|
| 207 |
+
name: text generation
|
| 208 |
+
dataset:
|
| 209 |
+
name: boolq
|
| 210 |
+
type: boolq
|
| 211 |
+
metrics:
|
| 212 |
+
- name: acc
|
| 213 |
+
type: acc
|
| 214 |
+
value: 0.6345565749235474
|
| 215 |
+
verified: false
|
| 216 |
+
- task:
|
| 217 |
+
type: text-generation
|
| 218 |
+
name: text generation
|
| 219 |
+
dataset:
|
| 220 |
+
name: cb
|
| 221 |
+
type: cb
|
| 222 |
+
metrics:
|
| 223 |
+
- name: acc
|
| 224 |
+
type: acc
|
| 225 |
+
value: 0.3392857142857143
|
| 226 |
+
verified: false
|
| 227 |
+
- task:
|
| 228 |
+
type: text-generation
|
| 229 |
+
name: text generation
|
| 230 |
+
dataset:
|
| 231 |
+
name: cola
|
| 232 |
+
type: cola
|
| 233 |
+
metrics:
|
| 234 |
+
- name: acc
|
| 235 |
+
type: acc
|
| 236 |
+
value: 0.39022051773729627
|
| 237 |
+
verified: false
|
| 238 |
+
- task:
|
| 239 |
+
type: text-generation
|
| 240 |
+
name: text generation
|
| 241 |
+
dataset:
|
| 242 |
+
name: copa
|
| 243 |
+
type: copa
|
| 244 |
+
metrics:
|
| 245 |
+
- name: acc
|
| 246 |
+
type: acc
|
| 247 |
+
value: 0.56
|
| 248 |
+
verified: false
|
| 249 |
+
- task:
|
| 250 |
+
type: text-generation
|
| 251 |
+
name: text generation
|
| 252 |
+
dataset:
|
| 253 |
+
name: crows_pairs_english
|
| 254 |
+
type: crows_pairs_english
|
| 255 |
+
metrics:
|
| 256 |
+
- name: acc
|
| 257 |
+
type: acc
|
| 258 |
+
value: 0.5
|
| 259 |
+
verified: false
|
| 260 |
+
- task:
|
| 261 |
+
type: text-generation
|
| 262 |
+
name: text generation
|
| 263 |
+
dataset:
|
| 264 |
+
name: crows_pairs_french
|
| 265 |
+
type: crows_pairs_french
|
| 266 |
+
metrics:
|
| 267 |
+
- name: acc
|
| 268 |
+
type: acc
|
| 269 |
+
value: 0.505664877757901
|
| 270 |
+
verified: false
|
| 271 |
+
- task:
|
| 272 |
+
type: text-generation
|
| 273 |
+
name: text generation
|
| 274 |
+
dataset:
|
| 275 |
+
name: diabla
|
| 276 |
+
type: diabla
|
| 277 |
+
metrics:
|
| 278 |
+
- name: acc
|
| 279 |
+
type: acc
|
| 280 |
+
value: 0.2947981906750174
|
| 281 |
+
verified: false
|
| 282 |
+
- task:
|
| 283 |
+
type: text-generation
|
| 284 |
+
name: text generation
|
| 285 |
+
dataset:
|
| 286 |
+
name: gsarti/flores_101_afr
|
| 287 |
+
type: gsarti/flores_101_afr
|
| 288 |
+
metrics:
|
| 289 |
+
- name: byte_perplexity
|
| 290 |
+
type: byte_perplexity
|
| 291 |
+
value: 4.25431550058444
|
| 292 |
+
verified: false
|
| 293 |
+
- task:
|
| 294 |
+
type: text-generation
|
| 295 |
+
name: text generation
|
| 296 |
+
dataset:
|
| 297 |
+
name: gsarti/flores_101_amh
|
| 298 |
+
type: gsarti/flores_101_amh
|
| 299 |
+
metrics:
|
| 300 |
+
- name: byte_perplexity
|
| 301 |
+
type: byte_perplexity
|
| 302 |
+
value: 3.716877477347089
|
| 303 |
+
verified: false
|
| 304 |
+
- task:
|
| 305 |
+
type: text-generation
|
| 306 |
+
name: text generation
|
| 307 |
+
dataset:
|
| 308 |
+
name: gsarti/flores_101_ara
|
| 309 |
+
type: gsarti/flores_101_ara
|
| 310 |
+
metrics:
|
| 311 |
+
- name: byte_perplexity
|
| 312 |
+
type: byte_perplexity
|
| 313 |
+
value: 1.7049030137120964
|
| 314 |
+
verified: false
|
| 315 |
+
- task:
|
| 316 |
+
type: text-generation
|
| 317 |
+
name: text generation
|
| 318 |
+
dataset:
|
| 319 |
+
name: gsarti/flores_101_asm
|
| 320 |
+
type: gsarti/flores_101_asm
|
| 321 |
+
metrics:
|
| 322 |
+
- name: byte_perplexity
|
| 323 |
+
type: byte_perplexity
|
| 324 |
+
value: 6.576581380404954
|
| 325 |
+
verified: false
|
| 326 |
+
- task:
|
| 327 |
+
type: text-generation
|
| 328 |
+
name: text generation
|
| 329 |
+
dataset:
|
| 330 |
+
name: gsarti/flores_101_ast
|
| 331 |
+
type: gsarti/flores_101_ast
|
| 332 |
+
metrics:
|
| 333 |
+
- name: byte_perplexity
|
| 334 |
+
type: byte_perplexity
|
| 335 |
+
value: 2.8562364775797944
|
| 336 |
+
verified: false
|
| 337 |
+
- task:
|
| 338 |
+
type: text-generation
|
| 339 |
+
name: text generation
|
| 340 |
+
dataset:
|
| 341 |
+
name: gsarti/flores_101_azj
|
| 342 |
+
type: gsarti/flores_101_azj
|
| 343 |
+
metrics:
|
| 344 |
+
- name: byte_perplexity
|
| 345 |
+
type: byte_perplexity
|
| 346 |
+
value: 4.80721528624391
|
| 347 |
+
verified: false
|
| 348 |
+
- task:
|
| 349 |
+
type: text-generation
|
| 350 |
+
name: text generation
|
| 351 |
+
dataset:
|
| 352 |
+
name: gsarti/flores_101_bel
|
| 353 |
+
type: gsarti/flores_101_bel
|
| 354 |
+
metrics:
|
| 355 |
+
- name: byte_perplexity
|
| 356 |
+
type: byte_perplexity
|
| 357 |
+
value: 2.7312177406635065
|
| 358 |
+
verified: false
|
| 359 |
+
- task:
|
| 360 |
+
type: text-generation
|
| 361 |
+
name: text generation
|
| 362 |
+
dataset:
|
| 363 |
+
name: gsarti/flores_101_ben
|
| 364 |
+
type: gsarti/flores_101_ben
|
| 365 |
+
metrics:
|
| 366 |
+
- name: byte_perplexity
|
| 367 |
+
type: byte_perplexity
|
| 368 |
+
value: 5.993409478990023
|
| 369 |
+
verified: false
|
| 370 |
+
- task:
|
| 371 |
+
type: text-generation
|
| 372 |
+
name: text generation
|
| 373 |
+
dataset:
|
| 374 |
+
name: gsarti/flores_101_bos
|
| 375 |
+
type: gsarti/flores_101_bos
|
| 376 |
+
metrics:
|
| 377 |
+
- name: byte_perplexity
|
| 378 |
+
type: byte_perplexity
|
| 379 |
+
value: 3.5936169095529493
|
| 380 |
+
verified: false
|
| 381 |
+
- task:
|
| 382 |
+
type: text-generation
|
| 383 |
+
name: text generation
|
| 384 |
+
dataset:
|
| 385 |
+
name: gsarti/flores_101_bul
|
| 386 |
+
type: gsarti/flores_101_bul
|
| 387 |
+
metrics:
|
| 388 |
+
- name: byte_perplexity
|
| 389 |
+
type: byte_perplexity
|
| 390 |
+
value: 2.159035321398085
|
| 391 |
+
verified: false
|
| 392 |
+
- task:
|
| 393 |
+
type: text-generation
|
| 394 |
+
name: text generation
|
| 395 |
+
dataset:
|
| 396 |
+
name: gsarti/flores_101_cat
|
| 397 |
+
type: gsarti/flores_101_cat
|
| 398 |
+
metrics:
|
| 399 |
+
- name: byte_perplexity
|
| 400 |
+
type: byte_perplexity
|
| 401 |
+
value: 2.167873680006659
|
| 402 |
+
verified: false
|
| 403 |
+
- task:
|
| 404 |
+
type: text-generation
|
| 405 |
+
name: text generation
|
| 406 |
+
dataset:
|
| 407 |
+
name: gsarti/flores_101_ceb
|
| 408 |
+
type: gsarti/flores_101_ceb
|
| 409 |
+
metrics:
|
| 410 |
+
- name: byte_perplexity
|
| 411 |
+
type: byte_perplexity
|
| 412 |
+
value: 5.286975089885673
|
| 413 |
+
verified: false
|
| 414 |
+
- task:
|
| 415 |
+
type: text-generation
|
| 416 |
+
name: text generation
|
| 417 |
+
dataset:
|
| 418 |
+
name: gsarti/flores_101_ces
|
| 419 |
+
type: gsarti/flores_101_ces
|
| 420 |
+
metrics:
|
| 421 |
+
- name: byte_perplexity
|
| 422 |
+
type: byte_perplexity
|
| 423 |
+
value: 3.4516208322236017
|
| 424 |
+
verified: false
|
| 425 |
+
- task:
|
| 426 |
+
type: text-generation
|
| 427 |
+
name: text generation
|
| 428 |
+
dataset:
|
| 429 |
+
name: gsarti/flores_101_ckb
|
| 430 |
+
type: gsarti/flores_101_ckb
|
| 431 |
+
metrics:
|
| 432 |
+
- name: byte_perplexity
|
| 433 |
+
type: byte_perplexity
|
| 434 |
+
value: 3.7051034724765612
|
| 435 |
+
verified: false
|
| 436 |
+
- task:
|
| 437 |
+
type: text-generation
|
| 438 |
+
name: text generation
|
| 439 |
+
dataset:
|
| 440 |
+
name: gsarti/flores_101_cym
|
| 441 |
+
type: gsarti/flores_101_cym
|
| 442 |
+
metrics:
|
| 443 |
+
- name: byte_perplexity
|
| 444 |
+
type: byte_perplexity
|
| 445 |
+
value: 7.0889312398688125
|
| 446 |
+
verified: false
|
| 447 |
+
- task:
|
| 448 |
+
type: text-generation
|
| 449 |
+
name: text generation
|
| 450 |
+
dataset:
|
| 451 |
+
name: gsarti/flores_101_dan
|
| 452 |
+
type: gsarti/flores_101_dan
|
| 453 |
+
metrics:
|
| 454 |
+
- name: byte_perplexity
|
| 455 |
+
type: byte_perplexity
|
| 456 |
+
value: 3.4300748208111838
|
| 457 |
+
verified: false
|
| 458 |
+
- task:
|
| 459 |
+
type: text-generation
|
| 460 |
+
name: text generation
|
| 461 |
+
dataset:
|
| 462 |
+
name: gsarti/flores_101_deu
|
| 463 |
+
type: gsarti/flores_101_deu
|
| 464 |
+
metrics:
|
| 465 |
+
- name: byte_perplexity
|
| 466 |
+
type: byte_perplexity
|
| 467 |
+
value: 2.3380585896268107
|
| 468 |
+
verified: false
|
| 469 |
+
- task:
|
| 470 |
+
type: text-generation
|
| 471 |
+
name: text generation
|
| 472 |
+
dataset:
|
| 473 |
+
name: gsarti/flores_101_ell
|
| 474 |
+
type: gsarti/flores_101_ell
|
| 475 |
+
metrics:
|
| 476 |
+
- name: byte_perplexity
|
| 477 |
+
type: byte_perplexity
|
| 478 |
+
value: 1.9595604725375586
|
| 479 |
+
verified: false
|
| 480 |
+
- task:
|
| 481 |
+
type: text-generation
|
| 482 |
+
name: text generation
|
| 483 |
+
dataset:
|
| 484 |
+
name: gsarti/flores_101_eng
|
| 485 |
+
type: gsarti/flores_101_eng
|
| 486 |
+
metrics:
|
| 487 |
+
- name: byte_perplexity
|
| 488 |
+
type: byte_perplexity
|
| 489 |
+
value: 1.8819637649637901
|
| 490 |
+
verified: false
|
| 491 |
+
- task:
|
| 492 |
+
type: text-generation
|
| 493 |
+
name: text generation
|
| 494 |
+
dataset:
|
| 495 |
+
name: gsarti/flores_101_est
|
| 496 |
+
type: gsarti/flores_101_est
|
| 497 |
+
metrics:
|
| 498 |
+
- name: byte_perplexity
|
| 499 |
+
type: byte_perplexity
|
| 500 |
+
value: 5.773850600380297
|
| 501 |
+
verified: false
|
| 502 |
+
- task:
|
| 503 |
+
type: text-generation
|
| 504 |
+
name: text generation
|
| 505 |
+
dataset:
|
| 506 |
+
name: gsarti/flores_101_fas
|
| 507 |
+
type: gsarti/flores_101_fas
|
| 508 |
+
metrics:
|
| 509 |
+
- name: byte_perplexity
|
| 510 |
+
type: byte_perplexity
|
| 511 |
+
value: 2.4306140728294086
|
| 512 |
+
verified: false
|
| 513 |
+
- task:
|
| 514 |
+
type: text-generation
|
| 515 |
+
name: text generation
|
| 516 |
+
dataset:
|
| 517 |
+
name: gsarti/flores_101_fin
|
| 518 |
+
type: gsarti/flores_101_fin
|
| 519 |
+
metrics:
|
| 520 |
+
- name: byte_perplexity
|
| 521 |
+
type: byte_perplexity
|
| 522 |
+
value: 4.304305536244342
|
| 523 |
+
verified: false
|
| 524 |
+
- task:
|
| 525 |
+
type: text-generation
|
| 526 |
+
name: text generation
|
| 527 |
+
dataset:
|
| 528 |
+
name: gsarti/flores_101_fra
|
| 529 |
+
type: gsarti/flores_101_fra
|
| 530 |
+
metrics:
|
| 531 |
+
- name: byte_perplexity
|
| 532 |
+
type: byte_perplexity
|
| 533 |
+
value: 1.9374688438541796
|
| 534 |
+
verified: false
|
| 535 |
+
- task:
|
| 536 |
+
type: text-generation
|
| 537 |
+
name: text generation
|
| 538 |
+
dataset:
|
| 539 |
+
name: gsarti/flores_101_ful
|
| 540 |
+
type: gsarti/flores_101_ful
|
| 541 |
+
metrics:
|
| 542 |
+
- name: byte_perplexity
|
| 543 |
+
type: byte_perplexity
|
| 544 |
+
value: 9.740353097219378
|
| 545 |
+
verified: false
|
| 546 |
+
- task:
|
| 547 |
+
type: text-generation
|
| 548 |
+
name: text generation
|
| 549 |
+
dataset:
|
| 550 |
+
name: gsarti/flores_101_gle
|
| 551 |
+
type: gsarti/flores_101_gle
|
| 552 |
+
metrics:
|
| 553 |
+
- name: byte_perplexity
|
| 554 |
+
type: byte_perplexity
|
| 555 |
+
value: 6.035269765075012
|
| 556 |
+
verified: false
|
| 557 |
+
- task:
|
| 558 |
+
type: text-generation
|
| 559 |
+
name: text generation
|
| 560 |
+
dataset:
|
| 561 |
+
name: gsarti/flores_101_glg
|
| 562 |
+
type: gsarti/flores_101_glg
|
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dataset:
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metrics:
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dataset:
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dataset:
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dataset:
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dataset:
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dataset:
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dataset:
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dataset:
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metrics:
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dataset:
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| 718 |
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dataset:
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| 729 |
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dataset:
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metrics:
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| 740 |
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dataset:
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dataset:
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| 762 |
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dataset:
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dataset:
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metrics:
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dataset:
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| 817 |
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dataset:
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| 828 |
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dataset:
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metrics:
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| 839 |
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dataset:
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dataset:
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name: gsarti/flores_101_lug
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metrics:
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| 861 |
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dataset:
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name: gsarti/flores_101_luo
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metrics:
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dataset:
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name: gsarti/flores_101_mal
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metrics:
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dataset:
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name: gsarti/flores_101_mar
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metrics:
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name: gsarti/flores_101_mkd
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metrics:
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| 905 |
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name: gsarti/flores_101_mlt
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metrics:
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dataset:
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name: gsarti/flores_101_mri
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dataset:
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| 948 |
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metrics:
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| 949 |
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dataset:
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name: gsarti/flores_101_mya
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| 960 |
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verified: false
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|
| 965 |
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| 967 |
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dataset:
|
| 968 |
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name: gsarti/flores_101_nld
|
| 969 |
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type: gsarti/flores_101_nld
|
| 970 |
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|
| 971 |
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| 973 |
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|
| 976 |
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dataset:
|
| 979 |
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name: gsarti/flores_101_nob
|
| 980 |
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type: gsarti/flores_101_nob
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| 981 |
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metrics:
|
| 982 |
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type: byte_perplexity
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| 984 |
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dataset:
|
| 990 |
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name: gsarti/flores_101_npi
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| 991 |
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| 992 |
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metrics:
|
| 993 |
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type: byte_perplexity
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| 998 |
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name: text generation
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| 1000 |
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dataset:
|
| 1001 |
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name: gsarti/flores_101_nso
|
| 1002 |
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type: gsarti/flores_101_nso
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| 1003 |
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metrics:
|
| 1004 |
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dataset:
|
| 1012 |
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name: gsarti/flores_101_nya
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type: gsarti/flores_101_nya
|
| 1014 |
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metrics:
|
| 1015 |
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| 1017 |
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| 1020 |
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| 1022 |
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dataset:
|
| 1023 |
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name: gsarti/flores_101_oci
|
| 1024 |
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type: gsarti/flores_101_oci
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| 1025 |
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|
| 1026 |
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dataset:
|
| 1034 |
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name: gsarti/flores_101_orm
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type: gsarti/flores_101_orm
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| 1036 |
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|
| 1037 |
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dataset:
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| 1045 |
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name: gsarti/flores_101_ory
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|
| 1048 |
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dataset:
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name: gsarti/flores_101_pan
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|
| 1059 |
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dataset:
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name: gsarti/flores_101_pol
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| 1070 |
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dataset:
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name: gsarti/flores_101_por
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| 1080 |
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| 1081 |
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dataset:
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name: gsarti/flores_101_pus
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| 1092 |
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dataset:
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| 1100 |
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name: gsarti/flores_101_ron
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| 1101 |
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type: gsarti/flores_101_ron
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| 1103 |
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| 1110 |
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dataset:
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| 1111 |
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name: gsarti/flores_101_rus
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| 1112 |
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| 1113 |
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| 1114 |
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dataset:
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name: gsarti/flores_101_slk
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| 1123 |
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| 1124 |
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|
| 1125 |
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| 1130 |
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dataset:
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name: gsarti/flores_101_slv
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| 1135 |
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| 1136 |
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dataset:
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name: gsarti/flores_101_sna
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| 1146 |
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metrics:
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| 1147 |
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dataset:
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name: gsarti/flores_101_snd
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| 1157 |
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metrics:
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| 1158 |
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| 1160 |
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dataset:
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name: gsarti/flores_101_som
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metrics:
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| 1169 |
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dataset:
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name: gsarti/flores_101_spa
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type: gsarti/flores_101_spa
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| 1179 |
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| 1180 |
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dataset:
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name: gsarti/flores_101_srp
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| 1190 |
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metrics:
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| 1191 |
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dataset:
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| 1199 |
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name: gsarti/flores_101_swe
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| 1200 |
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type: gsarti/flores_101_swe
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| 1201 |
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metrics:
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| 1202 |
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dataset:
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name: gsarti/flores_101_swh
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metrics:
|
| 1213 |
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dataset:
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name: gsarti/flores_101_tam
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type: gsarti/flores_101_tam
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metrics:
|
| 1224 |
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dataset:
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name: gsarti/flores_101_tel
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type: gsarti/flores_101_tel
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| 1234 |
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metrics:
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| 1235 |
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dataset:
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name: gsarti/flores_101_tgk
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type: gsarti/flores_101_tgk
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| 1245 |
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metrics:
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| 1246 |
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dataset:
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name: gsarti/flores_101_tgl
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| 1255 |
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type: gsarti/flores_101_tgl
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| 1256 |
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metrics:
|
| 1257 |
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dataset:
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| 1265 |
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name: gsarti/flores_101_tha
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type: gsarti/flores_101_tha
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| 1267 |
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metrics:
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| 1268 |
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dataset:
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name: gsarti/flores_101_tur
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type: gsarti/flores_101_tur
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| 1278 |
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metrics:
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| 1279 |
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dataset:
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name: gsarti/flores_101_ukr
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type: gsarti/flores_101_ukr
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| 1289 |
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metrics:
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| 1290 |
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dataset:
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name: gsarti/flores_101_umb
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| 1299 |
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type: gsarti/flores_101_umb
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| 1300 |
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metrics:
|
| 1301 |
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dataset:
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name: gsarti/flores_101_urd
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type: gsarti/flores_101_urd
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| 1311 |
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|
| 1312 |
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dataset:
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name: gsarti/flores_101_uzb
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type: gsarti/flores_101_uzb
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| 1322 |
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metrics:
|
| 1323 |
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dataset:
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name: gsarti/flores_101_vie
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| 1333 |
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metrics:
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| 1334 |
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dataset:
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name: gsarti/flores_101_wol
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type: gsarti/flores_101_wol
|
| 1344 |
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metrics:
|
| 1345 |
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type: text-generation
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dataset:
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name: gsarti/flores_101_xho
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|
| 1355 |
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|
| 1356 |
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|
| 1360 |
+
- task:
|
| 1361 |
+
type: text-generation
|
| 1362 |
+
name: text generation
|
| 1363 |
+
dataset:
|
| 1364 |
+
name: gsarti/flores_101_yor
|
| 1365 |
+
type: gsarti/flores_101_yor
|
| 1366 |
+
metrics:
|
| 1367 |
+
- name: byte_perplexity
|
| 1368 |
+
type: byte_perplexity
|
| 1369 |
+
value: 4.360585696242932
|
| 1370 |
+
verified: false
|
| 1371 |
+
- task:
|
| 1372 |
+
type: text-generation
|
| 1373 |
+
name: text generation
|
| 1374 |
+
dataset:
|
| 1375 |
+
name: gsarti/flores_101_zho_simpl
|
| 1376 |
+
type: gsarti/flores_101_zho_simpl
|
| 1377 |
+
metrics:
|
| 1378 |
+
- name: byte_perplexity
|
| 1379 |
+
type: byte_perplexity
|
| 1380 |
+
value: 2.1183545781883515
|
| 1381 |
+
verified: false
|
| 1382 |
+
- task:
|
| 1383 |
+
type: text-generation
|
| 1384 |
+
name: text generation
|
| 1385 |
+
dataset:
|
| 1386 |
+
name: gsarti/flores_101_zho_trad
|
| 1387 |
+
type: gsarti/flores_101_zho_trad
|
| 1388 |
+
metrics:
|
| 1389 |
+
- name: byte_perplexity
|
| 1390 |
+
type: byte_perplexity
|
| 1391 |
+
value: 2.273787884962656
|
| 1392 |
+
verified: false
|
| 1393 |
+
- task:
|
| 1394 |
+
type: text-generation
|
| 1395 |
+
name: text generation
|
| 1396 |
+
dataset:
|
| 1397 |
+
name: gsarti/flores_101_zul
|
| 1398 |
+
type: gsarti/flores_101_zul
|
| 1399 |
+
metrics:
|
| 1400 |
+
- name: byte_perplexity
|
| 1401 |
+
type: byte_perplexity
|
| 1402 |
+
value: 6.016954767729589
|
| 1403 |
+
verified: false
|
| 1404 |
+
- task:
|
| 1405 |
+
type: text-generation
|
| 1406 |
+
name: text generation
|
| 1407 |
+
dataset:
|
| 1408 |
+
name: headqa
|
| 1409 |
+
type: headqa
|
| 1410 |
+
metrics:
|
| 1411 |
+
- name: acc
|
| 1412 |
+
type: acc
|
| 1413 |
+
value: 0.3464624361779723
|
| 1414 |
+
verified: false
|
| 1415 |
+
- task:
|
| 1416 |
+
type: text-generation
|
| 1417 |
+
name: text generation
|
| 1418 |
+
dataset:
|
| 1419 |
+
name: hellaswag
|
| 1420 |
+
type: hellaswag
|
| 1421 |
+
metrics:
|
| 1422 |
+
- name: acc
|
| 1423 |
+
type: acc
|
| 1424 |
+
value: 0.5353515236008763
|
| 1425 |
+
verified: false
|
| 1426 |
+
- task:
|
| 1427 |
+
type: text-generation
|
| 1428 |
+
name: text generation
|
| 1429 |
+
dataset:
|
| 1430 |
+
name: lambada_mt_de
|
| 1431 |
+
type: lambada_mt_de
|
| 1432 |
+
metrics:
|
| 1433 |
+
- name: acc
|
| 1434 |
+
type: acc
|
| 1435 |
+
value: 0.3291286629148069
|
| 1436 |
+
verified: false
|
| 1437 |
+
- task:
|
| 1438 |
+
type: text-generation
|
| 1439 |
+
name: text generation
|
| 1440 |
+
dataset:
|
| 1441 |
+
name: lambada_mt_en
|
| 1442 |
+
type: lambada_mt_en
|
| 1443 |
+
metrics:
|
| 1444 |
+
- name: acc
|
| 1445 |
+
type: acc
|
| 1446 |
+
value: 0.6720357073549389
|
| 1447 |
+
verified: false
|
| 1448 |
+
- task:
|
| 1449 |
+
type: text-generation
|
| 1450 |
+
name: text generation
|
| 1451 |
+
dataset:
|
| 1452 |
+
name: lambada_mt_es
|
| 1453 |
+
type: lambada_mt_es
|
| 1454 |
+
metrics:
|
| 1455 |
+
- name: acc
|
| 1456 |
+
type: acc
|
| 1457 |
+
value: 0.476421502037648
|
| 1458 |
+
verified: false
|
| 1459 |
+
- task:
|
| 1460 |
+
type: text-generation
|
| 1461 |
+
name: text generation
|
| 1462 |
+
dataset:
|
| 1463 |
+
name: lambada_mt_it
|
| 1464 |
+
type: lambada_mt_it
|
| 1465 |
+
metrics:
|
| 1466 |
+
- name: acc
|
| 1467 |
+
type: acc
|
| 1468 |
+
value: 0.4061711624296526
|
| 1469 |
+
verified: false
|
| 1470 |
+
- task:
|
| 1471 |
+
type: text-generation
|
| 1472 |
+
name: text generation
|
| 1473 |
+
dataset:
|
| 1474 |
+
name: logiqa
|
| 1475 |
+
type: logiqa
|
| 1476 |
+
metrics:
|
| 1477 |
+
- name: acc
|
| 1478 |
+
type: acc
|
| 1479 |
+
value: 0.2350230414746544
|
| 1480 |
+
verified: false
|
| 1481 |
+
- task:
|
| 1482 |
+
type: text-generation
|
| 1483 |
+
name: text generation
|
| 1484 |
+
dataset:
|
| 1485 |
+
name: mathqa
|
| 1486 |
+
type: mathqa
|
| 1487 |
+
metrics:
|
| 1488 |
+
- name: acc
|
| 1489 |
+
type: acc
|
| 1490 |
+
value: 0.27671691792294806
|
| 1491 |
+
verified: false
|
| 1492 |
+
- task:
|
| 1493 |
+
type: text-generation
|
| 1494 |
+
name: text generation
|
| 1495 |
+
dataset:
|
| 1496 |
+
name: mc_taco
|
| 1497 |
+
type: mc_taco
|
| 1498 |
+
metrics:
|
| 1499 |
+
- name: em
|
| 1500 |
+
type: em
|
| 1501 |
+
value: 0.13063063063063063
|
| 1502 |
+
verified: false
|
| 1503 |
+
- task:
|
| 1504 |
+
type: text-generation
|
| 1505 |
+
name: text generation
|
| 1506 |
+
dataset:
|
| 1507 |
+
name: mnli
|
| 1508 |
+
type: mnli
|
| 1509 |
+
metrics:
|
| 1510 |
+
- name: acc
|
| 1511 |
+
type: acc
|
| 1512 |
+
value: 0.3545565500406835
|
| 1513 |
+
verified: false
|
| 1514 |
+
- task:
|
| 1515 |
+
type: text-generation
|
| 1516 |
+
name: text generation
|
| 1517 |
+
dataset:
|
| 1518 |
+
name: mnli_mismatched
|
| 1519 |
+
type: mnli_mismatched
|
| 1520 |
+
metrics:
|
| 1521 |
+
- name: acc
|
| 1522 |
+
type: acc
|
| 1523 |
+
value: 0.3545565500406835
|
| 1524 |
+
verified: false
|
| 1525 |
+
- task:
|
| 1526 |
+
type: text-generation
|
| 1527 |
+
name: text generation
|
| 1528 |
+
dataset:
|
| 1529 |
+
name: mrpc
|
| 1530 |
+
type: mrpc
|
| 1531 |
+
metrics:
|
| 1532 |
+
- name: acc
|
| 1533 |
+
type: acc
|
| 1534 |
+
value: 0.3872549019607843
|
| 1535 |
+
verified: false
|
| 1536 |
+
- task:
|
| 1537 |
+
type: text-generation
|
| 1538 |
+
name: text generation
|
| 1539 |
+
dataset:
|
| 1540 |
+
name: multirc
|
| 1541 |
+
type: multirc
|
| 1542 |
+
metrics:
|
| 1543 |
+
- name: acc
|
| 1544 |
+
type: acc
|
| 1545 |
+
value: 0.570957095709571
|
| 1546 |
+
verified: false
|
| 1547 |
+
- task:
|
| 1548 |
+
type: text-generation
|
| 1549 |
+
name: text generation
|
| 1550 |
+
dataset:
|
| 1551 |
+
name: openbookqa
|
| 1552 |
+
type: openbookqa
|
| 1553 |
+
metrics:
|
| 1554 |
+
- name: acc
|
| 1555 |
+
type: acc
|
| 1556 |
+
value: 0.312
|
| 1557 |
+
verified: false
|
| 1558 |
+
- task:
|
| 1559 |
+
type: text-generation
|
| 1560 |
+
name: text generation
|
| 1561 |
+
dataset:
|
| 1562 |
+
name: piqa
|
| 1563 |
+
type: piqa
|
| 1564 |
+
metrics:
|
| 1565 |
+
- name: acc
|
| 1566 |
+
type: acc
|
| 1567 |
+
value: 0.7812840043525572
|
| 1568 |
+
verified: false
|
| 1569 |
+
- task:
|
| 1570 |
+
type: text-generation
|
| 1571 |
+
name: text generation
|
| 1572 |
+
dataset:
|
| 1573 |
+
name: prost
|
| 1574 |
+
type: prost
|
| 1575 |
+
metrics:
|
| 1576 |
+
- name: acc
|
| 1577 |
+
type: acc
|
| 1578 |
+
value: 0.2977156276686593
|
| 1579 |
+
verified: false
|
| 1580 |
+
- task:
|
| 1581 |
+
type: text-generation
|
| 1582 |
+
name: text generation
|
| 1583 |
+
dataset:
|
| 1584 |
+
name: pubmedqa
|
| 1585 |
+
type: pubmedqa
|
| 1586 |
+
metrics:
|
| 1587 |
+
- name: acc
|
| 1588 |
+
type: acc
|
| 1589 |
+
value: 0.741
|
| 1590 |
+
verified: false
|
| 1591 |
+
- task:
|
| 1592 |
+
type: text-generation
|
| 1593 |
+
name: text generation
|
| 1594 |
+
dataset:
|
| 1595 |
+
name: qnli
|
| 1596 |
+
type: qnli
|
| 1597 |
+
metrics:
|
| 1598 |
+
- name: acc
|
| 1599 |
+
type: acc
|
| 1600 |
+
value: 0.5172981878088962
|
| 1601 |
+
verified: false
|
| 1602 |
+
- task:
|
| 1603 |
+
type: text-generation
|
| 1604 |
+
name: text generation
|
| 1605 |
+
dataset:
|
| 1606 |
+
name: qqp
|
| 1607 |
+
type: qqp
|
| 1608 |
+
metrics:
|
| 1609 |
+
- name: acc
|
| 1610 |
+
type: acc
|
| 1611 |
+
value: 0.5883007667573584
|
| 1612 |
+
verified: false
|
| 1613 |
+
- task:
|
| 1614 |
+
type: text-generation
|
| 1615 |
+
name: text generation
|
| 1616 |
+
dataset:
|
| 1617 |
+
name: race
|
| 1618 |
+
type: race
|
| 1619 |
+
metrics:
|
| 1620 |
+
- name: acc
|
| 1621 |
+
type: acc
|
| 1622 |
+
value: 0.39043062200956935
|
| 1623 |
+
verified: false
|
| 1624 |
+
- task:
|
| 1625 |
+
type: text-generation
|
| 1626 |
+
name: text generation
|
| 1627 |
+
dataset:
|
| 1628 |
+
name: rte
|
| 1629 |
+
type: rte
|
| 1630 |
+
metrics:
|
| 1631 |
+
- name: acc
|
| 1632 |
+
type: acc
|
| 1633 |
+
value: 0.5198555956678701
|
| 1634 |
+
verified: false
|
| 1635 |
+
- task:
|
| 1636 |
+
type: text-generation
|
| 1637 |
+
name: text generation
|
| 1638 |
+
dataset:
|
| 1639 |
+
name: sciq
|
| 1640 |
+
type: sciq
|
| 1641 |
+
metrics:
|
| 1642 |
+
- name: acc
|
| 1643 |
+
type: acc
|
| 1644 |
+
value: 0.936
|
| 1645 |
+
verified: false
|
| 1646 |
+
- task:
|
| 1647 |
+
type: text-generation
|
| 1648 |
+
name: text generation
|
| 1649 |
+
dataset:
|
| 1650 |
+
name: sst
|
| 1651 |
+
type: sst
|
| 1652 |
+
metrics:
|
| 1653 |
+
- name: acc
|
| 1654 |
+
type: acc
|
| 1655 |
+
value: 0.6043577981651376
|
| 1656 |
+
verified: false
|
| 1657 |
+
- task:
|
| 1658 |
+
type: text-generation
|
| 1659 |
+
name: text generation
|
| 1660 |
+
dataset:
|
| 1661 |
+
name: triviaqa
|
| 1662 |
+
type: triviaqa
|
| 1663 |
+
metrics:
|
| 1664 |
+
- name: acc
|
| 1665 |
+
type: acc
|
| 1666 |
+
value: 0.18332891363917617
|
| 1667 |
+
verified: false
|
| 1668 |
+
- task:
|
| 1669 |
+
type: text-generation
|
| 1670 |
+
name: text generation
|
| 1671 |
+
dataset:
|
| 1672 |
+
name: tydiqa_primary
|
| 1673 |
+
type: tydiqa_primary
|
| 1674 |
+
metrics:
|
| 1675 |
+
- name: acc
|
| 1676 |
+
type: acc
|
| 1677 |
+
value: 0.2809817301342725
|
| 1678 |
+
verified: false
|
| 1679 |
+
- task:
|
| 1680 |
+
type: text-generation
|
| 1681 |
+
name: text generation
|
| 1682 |
+
dataset:
|
| 1683 |
+
name: webqs
|
| 1684 |
+
type: webqs
|
| 1685 |
+
metrics:
|
| 1686 |
+
- name: acc
|
| 1687 |
+
type: acc
|
| 1688 |
+
value: 0.061515748031496065
|
| 1689 |
+
verified: false
|
| 1690 |
+
- task:
|
| 1691 |
+
type: text-generation
|
| 1692 |
+
name: text generation
|
| 1693 |
+
dataset:
|
| 1694 |
+
name: wic
|
| 1695 |
+
type: wic
|
| 1696 |
+
metrics:
|
| 1697 |
+
- name: acc
|
| 1698 |
+
type: acc
|
| 1699 |
+
value: 0.5062695924764891
|
| 1700 |
+
verified: false
|
| 1701 |
+
- task:
|
| 1702 |
+
type: text-generation
|
| 1703 |
+
name: text generation
|
| 1704 |
+
dataset:
|
| 1705 |
+
name: winogrande
|
| 1706 |
+
type: winogrande
|
| 1707 |
+
metrics:
|
| 1708 |
+
- name: acc
|
| 1709 |
+
type: acc
|
| 1710 |
+
value: 0.7095501183898973
|
| 1711 |
+
verified: false
|
| 1712 |
+
- task:
|
| 1713 |
+
type: text-generation
|
| 1714 |
+
name: text generation
|
| 1715 |
+
dataset:
|
| 1716 |
+
name: wnli
|
| 1717 |
+
type: wnli
|
| 1718 |
+
metrics:
|
| 1719 |
+
- name: acc
|
| 1720 |
+
type: acc
|
| 1721 |
+
value: 0.5704225352112676
|
| 1722 |
+
verified: false
|
| 1723 |
+
- task:
|
| 1724 |
+
type: text-generation
|
| 1725 |
+
name: text generation
|
| 1726 |
+
dataset:
|
| 1727 |
+
name: wsc
|
| 1728 |
+
type: wsc
|
| 1729 |
+
metrics:
|
| 1730 |
+
- name: acc
|
| 1731 |
+
type: acc
|
| 1732 |
+
value: 0.5192307692307693
|
| 1733 |
+
verified: false
|
| 1734 |
+
- task:
|
| 1735 |
+
type: text-generation
|
| 1736 |
+
name: text generation
|
| 1737 |
+
dataset:
|
| 1738 |
+
name: humaneval
|
| 1739 |
+
type: humaneval
|
| 1740 |
+
metrics:
|
| 1741 |
+
- name: pass@1
|
| 1742 |
+
type: pass@1
|
| 1743 |
+
value: 0.15524390243902436
|
| 1744 |
+
verified: false
|
| 1745 |
+
- name: pass@10
|
| 1746 |
+
type: pass@10
|
| 1747 |
+
value: 0.3220367632383857
|
| 1748 |
+
verified: false
|
| 1749 |
+
- name: pass@100
|
| 1750 |
+
type: pass@100
|
| 1751 |
+
value: 0.5545431515723145
|
| 1752 |
+
verified: false
|
| 1753 |
---
|
| 1754 |
|
| 1755 |
<img src="https://s3.amazonaws.com/moonup/production/uploads/1657124309515-5f17f0a0925b9863e28ad517.png" alt="BigScience Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
|
|
|
|
| 2154 |
And multiple different metrics for specific tasks. _(More evaluation metrics forthcoming upon completion of evaluation protocol.)_
|
| 2155 |
|
| 2156 |
## Factors
|
| 2157 |
+
*This section lists some different aspects of BLOOM models. Its focus is on aspects that are likely to give rise to high variance in model behavior.*
|
| 2158 |
|
| 2159 |
- Language, such as English or Yoruba
|
| 2160 |
|
| 2161 |
- Domain, such as newswire or stories
|
| 2162 |
+
|
| 2163 |
- Demographic characteristics, such as gender or nationality
|
| 2164 |
|
| 2165 |
## Results
|
| 2166 |
*Results are based on the [Factors](#factors) and [Metrics](#metrics).*
|
| 2167 |
|
| 2168 |
+
**Zero-shot evaluations:**
|
| 2169 |
+
|
| 2170 |
+
See this repository for JSON files: https://github.com/bigscience-workshop/evaluation-results
|
| 2171 |
+
|
| 2172 |
+
| Task | Language | Metric | BLOOM-176B | OPT-175B* |
|
| 2173 |
+
|:--------|:-----------------|:------------------------|-------------:|------------:|
|
| 2174 |
+
| arc_challenge | eng | acc ↑ | 0.411 | 0.412 |
|
| 2175 |
+
| arc_easy | eng | acc ↑ | 0.726 | 0.751 |
|
| 2176 |
+
| axb (Median of 10 prompts) | eng | acc ↑ | 0.575 | 0.532 |
|
| 2177 |
+
| axg (Median of 10 prompts) | eng | acc ↑ | 0.525 | 0.548 |
|
| 2178 |
+
| boolq (Median of 11 prompts) | eng | acc ↑ | 0.635 | 0.622 |
|
| 2179 |
+
| cb (Median of 15 prompts) | eng | acc ↑ | 0.339 | 0.411 |
|
| 2180 |
+
| cola (Median of 5 prompts) | eng | acc ↑ | 0.39 | 0.444 |
|
| 2181 |
+
| copa (Median of 9 prompts) | eng | acc ↑ | 0.56 | 0.55 |
|
| 2182 |
+
| crows_pairs_english (Median of 6 prompts) | eng | acc ↑ | 0.5 | 0.502 |
|
| 2183 |
+
| crows_pairs_french (Median of 7 prompts) | fra | acc ↑ | 0.506 | 0.499 |
|
| 2184 |
+
| diabla (Median of 2 prompts) | eng | acc ↑ | 0.295 | 0.289 |
|
| 2185 |
+
| gsarti/flores_101_afr | afr | byte_perplexity ↓ | 4.254 | 3.381 |
|
| 2186 |
+
| gsarti/flores_101_amh | amh | byte_perplexity ↓ | 3.717 | 3.87 |
|
| 2187 |
+
| gsarti/flores_101_ara | ara | byte_perplexity ↓ | 1.705 | 2.42 |
|
| 2188 |
+
| gsarti/flores_101_asm | asm | byte_perplexity ↓ | 6.577 | 3.028 |
|
| 2189 |
+
| gsarti/flores_101_ast | ast | byte_perplexity ↓ | 2.856 | 4.737 |
|
| 2190 |
+
| gsarti/flores_101_azj | azj | byte_perplexity ↓ | 4.807 | 4.767 |
|
| 2191 |
+
| gsarti/flores_101_bel | bel | byte_perplexity ↓ | 2.731 | 2.557 |
|
| 2192 |
+
| gsarti/flores_101_ben | ben | byte_perplexity ↓ | 5.993 | 2.243 |
|
| 2193 |
+
| gsarti/flores_101_bos | bos | byte_perplexity ↓ | 3.594 | 2.668 |
|
| 2194 |
+
| gsarti/flores_101_bul | bul | byte_perplexity ↓ | 2.159 | 2.099 |
|
| 2195 |
+
| gsarti/flores_101_cat | cat | byte_perplexity ↓ | 2.168 | 2.837 |
|
| 2196 |
+
| gsarti/flores_101_ceb | ceb | byte_perplexity ↓ | 5.287 | 3.636 |
|
| 2197 |
+
| gsarti/flores_101_ces | ces | byte_perplexity ↓ | 3.452 | 2.749 |
|
| 2198 |
+
| gsarti/flores_101_ckb | ckb | byte_perplexity ↓ | 3.705 | 4.688 |
|
| 2199 |
+
| gsarti/flores_101_cym | cym | byte_perplexity ↓ | 7.089 | 5.075 |
|
| 2200 |
+
| gsarti/flores_101_dan | dan | byte_perplexity ↓ | 3.43 | 2.492 |
|
| 2201 |
+
| gsarti/flores_101_deu | deu | byte_perplexity ↓ | 2.338 | 2.099 |
|
| 2202 |
+
| gsarti/flores_101_ell | ell | byte_perplexity ↓ | 1.96 | 1.811 |
|
| 2203 |
+
| gsarti/flores_101_eng | eng | byte_perplexity ↓ | 1.882 | 1.9 |
|
| 2204 |
+
| gsarti/flores_101_est | est | byte_perplexity ↓ | 5.774 | 3.533 |
|
| 2205 |
+
| gsarti/flores_101_fas | fas | byte_perplexity ↓ | 2.431 | 2.444 |
|
| 2206 |
+
| gsarti/flores_101_fin | fin | byte_perplexity ↓ | 4.304 | 2.601 |
|
| 2207 |
+
| gsarti/flores_101_fra | fra | byte_perplexity ↓ | 1.937 | 1.984 |
|
| 2208 |
+
| gsarti/flores_101_ful | ful | byte_perplexity ↓ | 9.74 | 11.84 |
|
| 2209 |
+
| gsarti/flores_101_gle | gle | byte_perplexity ↓ | 6.035 | 3.914 |
|
| 2210 |
+
| gsarti/flores_101_glg | glg | byte_perplexity ↓ | 2.365 | 3.015 |
|
| 2211 |
+
| gsarti/flores_101_guj | guj | byte_perplexity ↓ | 5.707 | 2.438 |
|
| 2212 |
+
| gsarti/flores_101_hau | hau | byte_perplexity ↓ | 8.855 | 5.283 |
|
| 2213 |
+
| gsarti/flores_101_heb | heb | byte_perplexity ↓ | 2.921 | 2.903 |
|
| 2214 |
+
| gsarti/flores_101_hin | hin | byte_perplexity ↓ | 5.452 | 1.86 |
|
| 2215 |
+
| gsarti/flores_101_hrv | hrv | byte_perplexity ↓ | 3.706 | 2.715 |
|
| 2216 |
+
| gsarti/flores_101_hun | hun | byte_perplexity ↓ | 4.059 | 2.865 |
|
| 2217 |
+
| gsarti/flores_101_hye | hye | byte_perplexity ↓ | 3.127 | 3.411 |
|
| 2218 |
+
| gsarti/flores_101_ibo | ibo | byte_perplexity ↓ | 3.95 | 8.008 |
|
| 2219 |
+
| gsarti/flores_101_ind | ind | byte_perplexity ↓ | 1.976 | 2.632 |
|
| 2220 |
+
| gsarti/flores_101_isl | isl | byte_perplexity ↓ | 5.501 | 4.701 |
|
| 2221 |
+
| gsarti/flores_101_ita | ita | byte_perplexity ↓ | 2.314 | 2.104 |
|
| 2222 |
+
| gsarti/flores_101_jav | jav | byte_perplexity ↓ | 4.942 | 8.16 |
|
| 2223 |
+
| gsarti/flores_101_jpn | jpn | byte_perplexity ↓ | 2.259 | 2.198 |
|
| 2224 |
+
| gsarti/flores_101_kam | kam | byte_perplexity ↓ | 9.743 | 10.981 |
|
| 2225 |
+
| gsarti/flores_101_kan | kan | byte_perplexity ↓ | 6.234 | 2.373 |
|
| 2226 |
+
| gsarti/flores_101_kat | kat | byte_perplexity ↓ | 2.051 | 2.466 |
|
| 2227 |
+
| gsarti/flores_101_kaz | kaz | byte_perplexity ↓ | 3.039 | 4.376 |
|
| 2228 |
+
| gsarti/flores_101_kea | kea | byte_perplexity ↓ | 7.147 | 9.632 |
|
| 2229 |
+
| gsarti/flores_101_khm | khm | byte_perplexity ↓ | 3.367 | 2.646 |
|
| 2230 |
+
| gsarti/flores_101_kir | kir | byte_perplexity ↓ | 3.241 | 4.522 |
|
| 2231 |
+
| gsarti/flores_101_kor | kor | byte_perplexity ↓ | 2.902 | 3.376 |
|
| 2232 |
+
| gsarti/flores_101_lao | lao | byte_perplexity ↓ | 2.331 | 3.106 |
|
| 2233 |
+
| gsarti/flores_101_lav | lav | byte_perplexity ↓ | 5.224 | 4.811 |
|
| 2234 |
+
| gsarti/flores_101_lin | lin | byte_perplexity ↓ | 4.847 | 8.871 |
|
| 2235 |
+
| gsarti/flores_101_lit | lit | byte_perplexity ↓ | 4.543 | 5.183 |
|
| 2236 |
+
| gsarti/flores_101_ltz | ltz | byte_perplexity ↓ | 5.591 | 7.158 |
|
| 2237 |
+
| gsarti/flores_101_lug | lug | byte_perplexity ↓ | 5.43 | 7.399 |
|
| 2238 |
+
| gsarti/flores_101_luo | luo | byte_perplexity ↓ | 12.031 | 11.951 |
|
| 2239 |
+
| gsarti/flores_101_mal | mal | byte_perplexity ↓ | 4.794 | 2.054 |
|
| 2240 |
+
| gsarti/flores_101_mar | mar | byte_perplexity ↓ | 6.857 | 2.274 |
|
| 2241 |
+
| gsarti/flores_101_mkd | mkd | byte_perplexity ↓ | 2.335 | 2.538 |
|
| 2242 |
+
| gsarti/flores_101_mlt | mlt | byte_perplexity ↓ | 9.041 | 5.996 |
|
| 2243 |
+
| gsarti/flores_101_mon | mon | byte_perplexity ↓ | 3.095 | 4.519 |
|
| 2244 |
+
| gsarti/flores_101_mri | mri | byte_perplexity ↓ | 5.266 | 4.438 |
|
| 2245 |
+
| gsarti/flores_101_msa | msa | byte_perplexity ↓ | 2.222 | 2.935 |
|
| 2246 |
+
| gsarti/flores_101_mya | mya | byte_perplexity ↓ | 2.523 | 2.413 |
|
| 2247 |
+
| gsarti/flores_101_nld | nld | byte_perplexity ↓ | 2.799 | 2.293 |
|
| 2248 |
+
| gsarti/flores_101_nob | nob | byte_perplexity ↓ | 3.629 | 2.593 |
|
| 2249 |
+
| gsarti/flores_101_npi | npi | byte_perplexity ↓ | 6.666 | 2.499 |
|
| 2250 |
+
| gsarti/flores_101_nso | nso | byte_perplexity ↓ | 5.015 | 8.485 |
|
| 2251 |
+
| gsarti/flores_101_nya | nya | byte_perplexity ↓ | 4.938 | 7.548 |
|
| 2252 |
+
| gsarti/flores_101_oci | oci | byte_perplexity ↓ | 3.607 | 4.936 |
|
| 2253 |
+
| gsarti/flores_101_orm | orm | byte_perplexity ↓ | 11.316 | 7.145 |
|
| 2254 |
+
| gsarti/flores_101_ory | ory | byte_perplexity ↓ | 5.982 | 2.668 |
|
| 2255 |
+
| gsarti/flores_101_pan | pan | byte_perplexity ↓ | 4.772 | 2.782 |
|
| 2256 |
+
| gsarti/flores_101_pol | pol | byte_perplexity ↓ | 3.012 | 2.432 |
|
| 2257 |
+
| gsarti/flores_101_por | por | byte_perplexity ↓ | 1.841 | 2.178 |
|
| 2258 |
+
| gsarti/flores_101_pus | pus | byte_perplexity ↓ | 4.624 | 4.785 |
|
| 2259 |
+
| gsarti/flores_101_ron | ron | byte_perplexity ↓ | 3.05 | 2.197 |
|
| 2260 |
+
| gsarti/flores_101_rus | rus | byte_perplexity ↓ | 1.708 | 1.689 |
|
| 2261 |
+
| gsarti/flores_101_slk | slk | byte_perplexity ↓ | 4.038 | 3.419 |
|
| 2262 |
+
| gsarti/flores_101_slv | slv | byte_perplexity ↓ | 4.141 | 3.582 |
|
| 2263 |
+
| gsarti/flores_101_sna | sna | byte_perplexity ↓ | 4.711 | 5.588 |
|
| 2264 |
+
| gsarti/flores_101_snd | snd | byte_perplexity ↓ | 4.206 | 5.667 |
|
| 2265 |
+
| gsarti/flores_101_som | som | byte_perplexity ↓ | 9.154 | 4.788 |
|
| 2266 |
+
| gsarti/flores_101_spa | spa | byte_perplexity ↓ | 1.796 | 2.098 |
|
| 2267 |
+
| gsarti/flores_101_srp | srp | byte_perplexity ↓ | 2.241 | 2.688 |
|
| 2268 |
+
| gsarti/flores_101_swe | swe | byte_perplexity ↓ | 3.345 | 2.468 |
|
| 2269 |
+
| gsarti/flores_101_swh | swh | byte_perplexity ↓ | 2.684 | 4.473 |
|
| 2270 |
+
| gsarti/flores_101_tam | tam | byte_perplexity ↓ | 5.165 | 2.024 |
|
| 2271 |
+
| gsarti/flores_101_tel | tel | byte_perplexity ↓ | 6.81 | 2.407 |
|
| 2272 |
+
| gsarti/flores_101_tgk | tgk | byte_perplexity ↓ | 3.785 | 4.899 |
|
| 2273 |
+
| gsarti/flores_101_tgl | tgl | byte_perplexity ↓ | 3.75 | 2.738 |
|
| 2274 |
+
| gsarti/flores_101_tha | tha | byte_perplexity ↓ | 2.104 | 2.035 |
|
| 2275 |
+
| gsarti/flores_101_tur | tur | byte_perplexity ↓ | 3.318 | 2.622 |
|
| 2276 |
+
| gsarti/flores_101_ukr | ukr | byte_perplexity ↓ | 2.089 | 1.93 |
|
| 2277 |
+
| gsarti/flores_101_umb | umb | byte_perplexity ↓ | 11.766 | 11.64 |
|
| 2278 |
+
| gsarti/flores_101_urd | urd | byte_perplexity ↓ | 1.779 | 2.982 |
|
| 2279 |
+
| gsarti/flores_101_uzb | uzb | byte_perplexity ↓ | 8.5 | 13.209 |
|
| 2280 |
+
| gsarti/flores_101_vie | vie | byte_perplexity ↓ | 1.659 | 2.229 |
|
| 2281 |
+
| gsarti/flores_101_wol | wol | byte_perplexity ↓ | 6.142 | 13.945 |
|
| 2282 |
+
| gsarti/flores_101_xho | xho | byte_perplexity ↓ | 4.69 | 8.42 |
|
| 2283 |
+
| gsarti/flores_101_yor | yor | byte_perplexity ↓ | 4.361 | 7.636 |
|
| 2284 |
+
| gsarti/flores_101_zho_simpl | zho_simpl | byte_perplexity ↓ | 2.118 | 5.113 |
|
| 2285 |
+
| gsarti/flores_101_zho_trad | zho_trad | byte_perplexity ↓ | 2.274 | 5.67 |
|
| 2286 |
+
| gsarti/flores_101_zul | zul | byte_perplexity ↓ | 6.017 | 7.341 |
|
| 2287 |
+
| headqa | esp | acc ↑ | 0.346 | 0.244 |
|
| 2288 |
+
| hellaswag | eng | acc ↑ | 0.535 | 0.592 |
|
| 2289 |
+
| lambada_mt_de | deu | acc ↑ | 0.329 | 0.358 |
|
| 2290 |
+
| lambada_mt_en | eng | acc ↑ | 0.672 | 0.747 |
|
| 2291 |
+
| lambada_mt_es | esp | acc ↑ | 0.476 | 0.397 |
|
| 2292 |
+
| lambada_mt_it | ita | acc ↑ | 0.406 | 0.409 |
|
| 2293 |
+
| logiqa | eng | acc ↑ | 0.235 | 0.244 |
|
| 2294 |
+
| mathqa | eng | acc ↑ | 0.277 | 0.268 |
|
| 2295 |
+
| mc_taco | eng | em ↑ | 0.131 | 0.124 |
|
| 2296 |
+
| mnli (Median of 15 prompts) | eng | acc ↑ | 0.355 | 0.36 |
|
| 2297 |
+
| mnli_mismatched (Median of 15 prompts) | eng | acc ↑ | 0.355 | 0.36 |
|
| 2298 |
+
| mrpc | eng | acc ↑ | 0.387 | 0.446 |
|
| 2299 |
+
| multirc (Median of 11 prompts) | eng | acc ↑ | 0.571 | 0.599 |
|
| 2300 |
+
| openbookqa | eng | acc ↑ | 0.312 | 0.322 |
|
| 2301 |
+
| piqa | eng | acc ↑ | 0.781 | 0.791 |
|
| 2302 |
+
| prost | eng | acc ↑ | 0.298 | 0.299 |
|
| 2303 |
+
| pubmedqa | eng | acc ↑ | 0.741 | 0.709 |
|
| 2304 |
+
| qnli | eng | acc ↑ | 0.517 | 0.554 |
|
| 2305 |
+
| qqp (Median of 7 prompts) | eng | acc ↑ | 0.588 | 0.395 |
|
| 2306 |
+
| race | eng | acc ↑ | 0.39 | 0.402 |
|
| 2307 |
+
| rte (Median of 6 prompts) | eng | acc ↑ | 0.52 | 0.495 |
|
| 2308 |
+
| sciq | eng | acc ↑ | 0.936 | 0.948 |
|
| 2309 |
+
| sst (Median of 6 prompts) | eng | acc ↑ | 0.604 | 0.647 |
|
| 2310 |
+
| triviaqa | eng | acc ↑ | 0.183 | 0.342 |
|
| 2311 |
+
| tydiqa_primary (Median of 16 prompts) | eng | acc ↑ | 0.281 | 0.148 |
|
| 2312 |
+
| webqs | eng | acc ↑ | 0.062 | 0.159 |
|
| 2313 |
+
| wic (Median of 11 prompts) | eng | acc ↑ | 0.506 | 0.498 |
|
| 2314 |
+
| winogrande | eng | acc ↑ | 0.71 | 0.736 |
|
| 2315 |
+
| wnli (Median of 6 prompts) | eng | acc ↑ | 0.57 | 0.563 |
|
| 2316 |
+
| wsc (Median of 11 prompts) | eng | acc ↑ | 0.519 | 0.413 |
|
| 2317 |
+
| humaneval | python | pass@1 | 0.155 | 0.0 |
|
| 2318 |
+
| humaneval | python | pass@10 | 0.322 | 0.0 |
|
| 2319 |
+
| humaneval | python | pass@100 | 0.555 | 0.003 |
|
| 2320 |
+
|
| 2321 |
+
|
| 2322 |
**Train-time Evaluation:**
|
| 2323 |
|
| 2324 |
+
Final checkpoint after 95K steps:
|
| 2325 |
|
| 2326 |
+
- Training Loss: 1.939
|
| 2327 |
|
| 2328 |
+
- Validation Loss: 2.061
|
| 2329 |
|
| 2330 |
+
- Perplexity: 7.045
|
| 2331 |
|
| 2332 |
+
For more see: https://huggingface.co/bigscience/tr11-176B-ml-logs
|
| 2333 |
|
| 2334 |
</details>
|
| 2335 |
|
|
|
|
| 2424 |
# Model Card Authors
|
| 2425 |
*Ordered roughly chronologically and by amount of time spent.*
|
| 2426 |
|
| 2427 |
+
Margaret Mitchell, Giada Pistilli, Yacine Jernite, Ezinwanne Ozoani, Marissa Gerchick, Nazneen Rajani, Sasha Luccioni, Irene Solaiman, Maraim Masoud, Somaieh Nikpoor, Carlos Muñoz Ferrandis, Stas Bekman, Christopher Akiki, Danish Contractor, David Lansky, Angelina McMillan-Major, Tristan Thrush, Suzana Ilić, Gérard Dupont, Shayne Longpre, Manan Dey, Stella Biderman, Douwe Kiela, Emi Baylor, Teven Le Scao, Aaron Gokaslan, Julien Launay, Niklas Muennighoff
|