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Training in progress, step 500

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1601
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1602
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1606
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1607
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1608
+ "<|zh|>": 50260
1609
+ }
experiment_log.txt ADDED
@@ -0,0 +1,307 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0
  0%| | 0/10000 [00:00<?, ?it/s]Passing a tuple of `past_key_values` is deprecated and will be removed in Transformers v4.43.0. You should pass an instance of `EncoderDecoderCache` instead, e.g. `past_key_values=EncoderDecoderCache.from_legacy_cache(past_key_values)`.
 
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  4%|▎ | 370/10000 [03:07<1:08:08, 2.36it/s]
377
  4%|▎ | 371/10000 [03:07<1:08:12, 2.35it/s]
378
  4%|▎ | 372/10000 [03:08<1:08:15, 2.35it/s]
379
  4%|▎ | 373/10000 [03:08<1:08:11, 2.35it/s]
380
  4%|▎ | 374/10000 [03:08<1:08:07, 2.35it/s]
381
  4%|▍ | 375/10000 [03:09<1:08:12, 2.35it/s]
382
  4%|▍ | 376/10000 [03:09<1:08:17, 2.35it/s]
383
  4%|▍ | 377/10000 [03:10<1:08:22, 2.35it/s]
384
  4%|▍ | 378/10000 [03:10<1:08:23, 2.34it/s]
385
  4%|▍ | 379/10000 [03:11<1:08:23, 2.34it/s]
386
  4%|▍ | 380/10000 [03:11<1:08:21, 2.35it/s]
387
  4%|▍ | 381/10000 [03:11<1:08:21, 2.35it/s]
388
  4%|▍ | 382/10000 [03:12<1:08:26, 2.34it/s]
389
  4%|▍ | 383/10000 [03:12<1:08:26, 2.34it/s]
390
  4%|▍ | 384/10000 [03:13<1:08:22, 2.34it/s]
391
  4%|▍ | 385/10000 [03:13<1:08:17, 2.35it/s]
392
  4%|▍ | 386/10000 [03:14<1:08:19, 2.35it/s]
393
  4%|▍ | 387/10000 [03:14<1:08:19, 2.35it/s]
394
  4%|▍ | 388/10000 [03:14<1:08:16, 2.35it/s]
395
  4%|▍ | 389/10000 [03:15<1:08:09, 2.35it/s]
396
  4%|▍ | 390/10000 [03:15<1:08:09, 2.35it/s]
397
  4%|▍ | 391/10000 [03:16<1:08:08, 2.35it/s]
398
  4%|▍ | 392/10000 [03:16<1:08:08, 2.35it/s]
399
  4%|▍ | 393/10000 [03:16<1:08:07, 2.35it/s]
400
  4%|▍ | 394/10000 [03:17<1:08:06, 2.35it/s]
401
  4%|▍ | 395/10000 [03:17<1:08:02, 2.35it/s]
402
  4%|▍ | 396/10000 [03:18<1:08:04, 2.35it/s]
403
  4%|▍ | 397/10000 [03:18<1:08:02, 2.35it/s]
404
  4%|▍ | 398/10000 [03:19<1:08:02, 2.35it/s]
405
  4%|▍ | 399/10000 [03:19<1:08:01, 2.35it/s]
406
  4%|▍ | 400/10000 [03:19<1:08:04, 2.35it/s]
407
 
 
408
  4%|▍ | 400/10000 [03:19<1:08:04, 2.35it/s]
409
  4%|▍ | 401/10000 [03:20<1:08:02, 2.35it/s]
410
  4%|▍ | 402/10000 [03:20<1:08:14, 2.34it/s]
411
  4%|▍ | 403/10000 [03:21<1:08:16, 2.34it/s]
412
  4%|▍ | 404/10000 [03:21<1:08:15, 2.34it/s]
413
  4%|▍ | 405/10000 [03:22<1:08:14, 2.34it/s]
414
  4%|▍ | 406/10000 [03:22<1:08:10, 2.35it/s]
415
  4%|▍ | 407/10000 [03:22<1:08:02, 2.35it/s]
416
  4%|▍ | 408/10000 [03:23<1:08:21, 2.34it/s]
417
  4%|▍ | 409/10000 [03:23<1:08:13, 2.34it/s]
418
  4%|▍ | 410/10000 [03:24<1:08:08, 2.35it/s]
419
  4%|▍ | 411/10000 [03:24<1:08:06, 2.35it/s]
420
  4%|▍ | 412/10000 [03:25<1:08:01, 2.35it/s]
421
  4%|▍ | 413/10000 [03:25<1:08:19, 2.34it/s]
422
  4%|▍ | 414/10000 [03:25<1:08:14, 2.34it/s]
423
  4%|▍ | 415/10000 [03:26<1:08:04, 2.35it/s]
424
  4%|▍ | 416/10000 [03:26<1:08:11, 2.34it/s]
425
  4%|▍ | 417/10000 [03:27<1:08:25, 2.33it/s]
426
  4%|▍ | 418/10000 [03:27<1:08:11, 2.34it/s]
427
  4%|▍ | 419/10000 [03:28<1:08:12, 2.34it/s]
428
  4%|▍ | 420/10000 [03:28<1:08:07, 2.34it/s]
429
  4%|▍ | 421/10000 [03:28<1:08:00, 2.35it/s]
430
  4%|▍ | 422/10000 [03:29<1:08:04, 2.35it/s]
431
  4%|▍ | 423/10000 [03:29<1:08:11, 2.34it/s]
432
  4%|▍ | 424/10000 [03:30<1:08:07, 2.34it/s]
433
  4%|▍ | 425/10000 [03:30<1:08:04, 2.34it/s]
434
  4%|▍ | 426/10000 [03:31<1:08:14, 2.34it/s]
435
  4%|▍ | 427/10000 [03:31<1:08:07, 2.34it/s]
436
  4%|▍ | 428/10000 [03:31<1:08:03, 2.34it/s]
437
  4%|▍ | 429/10000 [03:32<1:08:05, 2.34it/s]
438
  4%|▍ | 430/10000 [03:32<1:07:56, 2.35it/s]
439
  4%|▍ | 431/10000 [03:33<1:07:49, 2.35it/s]
440
  4%|▍ | 432/10000 [03:33<1:07:58, 2.35it/s]
441
  4%|▍ | 433/10000 [03:34<1:07:59, 2.35it/s]
442
  4%|▍ | 434/10000 [03:34<1:07:59, 2.35it/s]
443
  4%|▍ | 435/10000 [03:34<1:07:50, 2.35it/s]
444
  4%|▍ | 436/10000 [03:35<1:07:45, 2.35it/s]
445
  4%|▍ | 437/10000 [03:35<1:07:45, 2.35it/s]
446
  4%|▍ | 438/10000 [03:36<1:07:43, 2.35it/s]
447
  4%|▍ | 439/10000 [03:36<1:07:42, 2.35it/s]
448
  4%|▍ | 440/10000 [03:37<1:07:47, 2.35it/s]
449
  4%|▍ | 441/10000 [03:37<1:07:41, 2.35it/s]
450
  4%|▍ | 442/10000 [03:37<1:07:42, 2.35it/s]
451
  4%|▍ | 443/10000 [03:38<1:07:46, 2.35it/s]
452
  4%|▍ | 444/10000 [03:38<1:07:45, 2.35it/s]
453
  4%|▍ | 445/10000 [03:39<1:07:48, 2.35it/s]
454
  4%|▍ | 446/10000 [03:39<1:07:53, 2.35it/s]
455
  4%|▍ | 447/10000 [03:40<1:07:44, 2.35it/s]
456
  4%|▍ | 448/10000 [03:40<1:07:42, 2.35it/s]
457
  4%|▍ | 449/10000 [03:40<1:07:50, 2.35it/s]
458
  4%|▍ | 450/10000 [03:41<1:07:37, 2.35it/s]
459
  5%|▍ | 451/10000 [03:41<1:07:36, 2.35it/s]
460
  5%|▍ | 452/10000 [03:42<1:07:37, 2.35it/s]
461
  5%|▍ | 453/10000 [03:42<1:07:47, 2.35it/s]
462
  5%|▍ | 454/10000 [03:42<1:07:53, 2.34it/s]
463
  5%|▍ | 455/10000 [03:43<1:07:58, 2.34it/s]
464
  5%|▍ | 456/10000 [03:43<1:08:01, 2.34it/s]
465
  5%|▍ | 457/10000 [03:44<1:07:54, 2.34it/s]
466
  5%|▍ | 458/10000 [03:44<1:07:52, 2.34it/s]
467
  5%|▍ | 459/10000 [03:45<1:08:11, 2.33it/s]
468
  5%|▍ | 460/10000 [03:45<1:07:49, 2.34it/s]
469
  5%|▍ | 461/10000 [03:45<1:07:54, 2.34it/s]
470
  5%|▍ | 462/10000 [03:46<1:08:08, 2.33it/s]
471
  5%|▍ | 463/10000 [03:46<1:08:00, 2.34it/s]
472
  5%|▍ | 464/10000 [03:47<1:08:02, 2.34it/s]
473
  5%|▍ | 465/10000 [03:47<1:07:56, 2.34it/s]
474
  5%|▍ | 466/10000 [03:48<1:07:54, 2.34it/s]
475
  5%|▍ | 467/10000 [03:48<1:07:48, 2.34it/s]
476
  5%|▍ | 468/10000 [03:48<1:08:04, 2.33it/s]
477
  5%|▍ | 469/10000 [03:49<1:08:16, 2.33it/s]
478
  5%|▍ | 470/10000 [03:49<1:07:57, 2.34it/s]
479
  5%|▍ | 471/10000 [03:50<1:07:44, 2.34it/s]
480
  5%|▍ | 472/10000 [03:50<1:08:02, 2.33it/s]
481
  5%|▍ | 473/10000 [03:51<1:08:00, 2.33it/s]
482
  5%|▍ | 474/10000 [03:51<1:07:54, 2.34it/s]
483
  5%|▍ | 475/10000 [03:51<1:07:46, 2.34it/s]
484
  5%|▍ | 476/10000 [03:52<1:07:40, 2.35it/s]
485
  5%|▍ | 477/10000 [03:52<1:07:42, 2.34it/s]
486
  5%|▍ | 478/10000 [03:53<1:07:45, 2.34it/s]
487
  5%|▍ | 479/10000 [03:53<1:07:38, 2.35it/s]
488
  5%|▍ | 480/10000 [03:54<1:07:57, 2.34it/s]
489
  5%|▍ | 481/10000 [03:54<1:07:47, 2.34it/s]
490
  5%|▍ | 482/10000 [03:54<1:07:39, 2.34it/s]
491
  5%|▍ | 483/10000 [03:55<1:07:33, 2.35it/s]
492
  5%|▍ | 484/10000 [03:55<1:07:29, 2.35it/s]
493
  5%|▍ | 485/10000 [03:56<1:07:20, 2.35it/s]
494
  5%|▍ | 486/10000 [03:56<1:07:14, 2.36it/s]
495
  5%|▍ | 487/10000 [03:57<1:07:46, 2.34it/s]
496
  5%|▍ | 488/10000 [03:57<1:07:35, 2.35it/s]
497
  5%|▍ | 489/10000 [03:57<1:07:52, 2.34it/s]
498
  5%|▍ | 490/10000 [03:58<1:07:44, 2.34it/s]
499
  5%|▍ | 491/10000 [03:58<1:07:38, 2.34it/s]
500
  5%|▍ | 492/10000 [03:59<1:07:37, 2.34it/s]
501
  5%|▍ | 493/10000 [03:59<1:07:37, 2.34it/s]
502
  5%|▍ | 494/10000 [04:00<1:07:27, 2.35it/s]
503
  5%|▍ | 495/10000 [04:00<1:07:28, 2.35it/s]
504
  5%|▍ | 496/10000 [04:00<1:07:34, 2.34it/s]
505
  5%|▍ | 497/10000 [04:01<1:07:34, 2.34it/s]
506
  5%|▍ | 498/10000 [04:01<1:07:33, 2.34it/s]
507
  5%|▍ | 499/10000 [04:02<1:07:33, 2.34it/s]
508
  5%|▌ | 500/10000 [04:02<1:07:32, 2.34it/s]
509
 
 
510
  5%|▌ | 500/10000 [04:02<1:07:32, 2.34it/s]Due to a bug fix in https://github.com/huggingface/transformers/pull/28687 transcription using a multilingual Whisper will default to language detection followed by transcription instead of translation to English.This might be a breaking change for your use case. If you want to instead always translate your audio to English, make sure to pass `language='en'`.
 
 
 
511
  0%| | 0/176 [00:00<?, ?it/s]
 
512
  1%| | 2/176 [00:00<01:01, 2.84it/s]
 
513
  2%|▏ | 3/176 [00:01<01:43, 1.67it/s]
 
514
  2%|▏ | 4/176 [00:02<01:52, 1.52it/s]
 
515
  3%|▎ | 5/176 [00:03<01:58, 1.45it/s]
 
516
  3%|▎ | 6/176 [00:03<02:01, 1.40it/s]
 
517
  4%|▍ | 7/176 [00:04<02:03, 1.37it/s]
 
518
  5%|▍ | 8/176 [00:05<02:02, 1.38it/s]
 
519
  5%|▌ | 9/176 [00:06<02:00, 1.39it/s]
 
520
  6%|▌ | 10/176 [00:06<02:02, 1.36it/s]
 
521
  6%|▋ | 11/176 [00:07<02:00, 1.37it/s]
 
522
  7%|▋ | 12/176 [00:08<02:00, 1.36it/s]
 
523
  7%|▋ | 13/176 [00:09<02:00, 1.36it/s]
 
524
  8%|▊ | 14/176 [00:09<01:56, 1.39it/s]
 
525
  9%|▊ | 15/176 [00:10<01:56, 1.39it/s]
 
526
  9%|▉ | 16/176 [00:11<01:55, 1.38it/s]
 
527
  10%|▉ | 17/176 [00:11<01:57, 1.36it/s]
 
528
  10%|█ | 18/176 [00:12<01:59, 1.32it/s]
 
529
  11%|█ | 19/176 [00:14<02:50, 1.08s/it]
 
530
  11%|█▏ | 20/176 [00:15<02:32, 1.02it/s]
 
531
  12%|█▏ | 21/176 [00:16<02:21, 1.10it/s]
 
532
  12%|█▎ | 22/176 [00:16<02:13, 1.15it/s]
 
533
  13%|█▎ | 23/176 [00:17<02:06, 1.21it/s]
 
534
  14%|█▎ | 24/176 [00:18<02:01, 1.25it/s]
 
535
  14%|█▍ | 25/176 [00:19<01:59, 1.26it/s]
 
536
  15%|█▍ | 26/176 [00:19<01:57, 1.27it/s]
 
537
  15%|█▌ | 27/176 [00:20<01:54, 1.30it/s]
 
538
  16%|█▌ | 28/176 [00:21<01:50, 1.34it/s]
 
539
  16%|█▋ | 29/176 [00:23<02:38, 1.08s/it]
 
540
  17%|█▋ | 30/176 [00:23<02:22, 1.03it/s]
 
541
  18%|█▊ | 31/176 [00:24<02:10, 1.11it/s]
 
542
  18%|█▊ | 32/176 [00:25<02:01, 1.18it/s]
 
543
  19%|█▉ | 33/176 [00:26<01:54, 1.24it/s]
 
544
  19%|█▉ | 34/176 [00:26<01:51, 1.27it/s]
 
545
  20%|█▉ | 35/176 [00:27<01:48, 1.30it/s]
 
546
  20%|██ | 36/176 [00:28<01:45, 1.32it/s]
 
547
  21%|██ | 37/176 [00:29<01:45, 1.32it/s]
 
548
  22%|██▏ | 38/176 [00:29<01:43, 1.34it/s]
 
549
  22%|██▏ | 39/176 [00:30<01:44, 1.32it/s]
 
550
  23%|██▎ | 40/176 [00:31<01:41, 1.35it/s]
 
551
  23%|██▎ | 41/176 [00:31<01:38, 1.37it/s]
 
552
  24%|██▍ | 42/176 [00:32<01:39, 1.35it/s]
 
553
  24%|██▍ | 43/176 [00:33<01:38, 1.36it/s]
 
554
  25%|██▌ | 44/176 [00:34<01:37, 1.35it/s]
 
555
  26%|██▌ | 45/176 [00:34<01:37, 1.34it/s]
 
556
  26%|██▌ | 46/176 [00:35<01:36, 1.34it/s]
 
557
  27%|██▋ | 47/176 [00:36<01:33, 1.37it/s]
 
558
  27%|██▋ | 48/176 [00:37<01:34, 1.35it/s]
 
559
  28%|██▊ | 49/176 [00:37<01:35, 1.33it/s]
 
560
  28%|██▊ | 50/176 [00:38<01:32, 1.36it/s]
 
561
  29%|██▉ | 51/176 [00:39<01:30, 1.38it/s]
 
562
  30%|██▉ | 52/176 [00:40<01:29, 1.38it/s]
 
563
  30%|███ | 53/176 [00:40<01:33, 1.32it/s]
 
564
  31%|███ | 54/176 [00:42<02:12, 1.08s/it]
 
565
  31%|███▏ | 55/176 [00:43<01:59, 1.02it/s]
 
566
  32%|███▏ | 56/176 [00:44<01:49, 1.09it/s]
 
567
  32%|███▏ | 57/176 [00:44<01:42, 1.16it/s]
 
568
  33%|███▎ | 58/176 [00:45<01:36, 1.23it/s]
 
569
  34%|███▎ | 59/176 [00:46<01:31, 1.27it/s]
 
570
  34%|███▍ | 60/176 [00:47<01:28, 1.31it/s]
 
571
  35%|███▍ | 61/176 [00:47<01:27, 1.31it/s]
 
572
  35%|███▌ | 62/176 [00:48<01:25, 1.33it/s]
 
573
  36%|███▌ | 63/176 [00:49<01:24, 1.34it/s]
 
574
  36%|███▋ | 64/176 [00:51<02:00, 1.08s/it]
 
575
  37%|███▋ | 65/176 [00:51<01:48, 1.03it/s]
 
576
  38%|███▊ | 66/176 [00:52<01:38, 1.11it/s]
 
577
  38%|███▊ | 67/176 [00:53<01:33, 1.17it/s]
 
578
  39%|███▊ | 68/176 [00:55<02:04, 1.15s/it]
 
579
  39%|███▉ | 69/176 [00:55<01:49, 1.03s/it]
 
580
  40%|███▉ | 70/176 [00:56<01:37, 1.08it/s]
 
581
  40%|████ | 71/176 [00:57<01:32, 1.14it/s]
 
582
  41%|████ | 72/176 [00:58<01:27, 1.20it/s]
 
583
  41%|████▏ | 73/176 [00:58<01:23, 1.23it/s]
 
584
  42%|████▏ | 74/176 [00:59<01:19, 1.28it/s]
 
585
  43%|████▎ | 75/176 [01:00<01:17, 1.31it/s]
 
586
  43%|████▎ | 76/176 [01:01<01:15, 1.33it/s]
 
587
  44%|████▍ | 77/176 [01:01<01:14, 1.33it/s]
 
588
  44%|████▍ | 78/176 [01:02<01:12, 1.36it/s]
 
589
  45%|████▍ | 79/176 [01:03<01:11, 1.36it/s]
 
590
  45%|████▌ | 80/176 [01:04<01:10, 1.36it/s]
 
591
  46%|████▌ | 81/176 [01:04<01:08, 1.38it/s]
 
592
  47%|████▋ | 82/176 [01:05<01:08, 1.38it/s]
 
593
  47%|████▋ | 83/176 [01:06<01:08, 1.37it/s]
 
594
  48%|████▊ | 84/176 [01:06<01:08, 1.35it/s]
 
595
  48%|████▊ | 85/176 [01:07<01:06, 1.36it/s]
 
596
  49%|████▉ | 86/176 [01:08<01:05, 1.37it/s]
 
597
  49%|████▉ | 87/176 [01:09<01:05, 1.35it/s]
 
598
  50%|█████ | 88/176 [01:09<01:05, 1.34it/s]
 
599
  51%|█████ | 89/176 [01:10<01:04, 1.35it/s]
 
600
  51%|█████ | 90/176 [01:11<01:03, 1.35it/s]
 
601
  52%|█████▏ | 91/176 [01:12<01:02, 1.36it/s]
 
602
  52%|█████▏ | 92/176 [01:12<01:00, 1.39it/s]
 
603
  53%|█████▎ | 93/176 [01:13<01:00, 1.37it/s]
 
604
  53%|█████▎ | 94/176 [01:14<00:59, 1.38it/s]
 
605
  54%|█████▍ | 95/176 [01:15<01:02, 1.29it/s]
 
606
  55%|█████▍ | 96/176 [01:15<01:00, 1.33it/s]
 
607
  55%|█████▌ | 97/176 [01:16<01:03, 1.24it/s]
 
608
  56%|█████▌ | 98/176 [01:17<01:00, 1.29it/s]
 
609
  56%|█████▋ | 99/176 [01:18<00:59, 1.30it/s]
 
610
  57%|█████▋ | 100/176 [01:18<00:57, 1.33it/s]
 
611
  57%|█████▋ | 101/176 [01:19<00:56, 1.33it/s]
 
612
  58%|█████▊ | 102/176 [01:20<00:54, 1.35it/s]
 
613
  59%|█████▊ | 103/176 [01:21<00:53, 1.36it/s]
 
614
  59%|█████▉ | 104/176 [01:21<00:52, 1.37it/s]
 
615
  60%|█████▉ | 105/176 [01:22<00:52, 1.35it/s]
 
616
  60%|██████ | 106/176 [01:23<00:53, 1.32it/s]
 
617
  61%|██████ | 107/176 [01:24<00:51, 1.34it/s]
 
618
  61%|██████▏ | 108/176 [01:24<00:50, 1.34it/s]
 
619
  62%|██████▏ | 109/176 [01:25<00:49, 1.36it/s]
 
620
  62%|██████▎ | 110/176 [01:26<00:48, 1.35it/s]
 
621
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1
+
2
+ ======================================================================
3
+ ARGUMENTS SUMMARY
4
+ ======================================================================
5
+ model_name : openai/whisper-base
6
+ language : Pashto
7
+ intermediate_model_path : None
8
+ freeze_encoder_layers : 0
9
+ freeze_encoder_ratio : 0.0
10
+ freeze_feature_encoder : False
11
+ use_lora : True
12
+ lora_rank : 64
13
+ lora_alpha : 128
14
+ lora_dropout : 0.1
15
+ sampling_rate : 16000
16
+ num_proc : 1
17
+ train_datasets : ['ihanif/pashto_augmented_speech']
18
+ train_dataset_configs : ['default']
19
+ train_dataset_splits : ['train']
20
+ train_dataset_text_columns : ['sentence']
21
+ eval_datasets : ['ihanif/pashto_augmented_speech']
22
+ eval_dataset_configs : ['default']
23
+ eval_dataset_splits : ['test']
24
+ eval_dataset_text_columns : ['sentence']
25
+ max_train_samples : None
26
+ max_eval_samples : None
27
+ streaming : True
28
+ augment_speed : False
29
+ augment_pitch : False
30
+ augment_noise : False
31
+ augment_volume : False
32
+ augment_reverb : False
33
+ noise_snr : 15.0
34
+ augment_probability : 0.7
35
+ train_strategy : steps
36
+ learning_rate : 0.0001
37
+ warmup_steps : 500
38
+ warmup_ratio : 0.1
39
+ train_batchsize : 32
40
+ eval_batchsize : 16
41
+ gradient_accumulation_steps : 1
42
+ dataloader_num_workers : 4
43
+ num_epochs : 10
44
+ num_steps : 10000
45
+ max_duration_in_seconds : 30.0
46
+ min_duration_in_seconds : 0.5
47
+ eval_strategy : steps
48
+ eval_steps : 500
49
+ save_strategy : steps
50
+ save_steps : 500
51
+ save_total_limit : 1
52
+ logging_steps : 100
53
+ compute_cer : True
54
+ eval_ortho_wer : True
55
+ gradient_checkpointing : False
56
+ fp16 : False
57
+ bf16 : True
58
+ bf16_full_eval : False
59
+ weight_decay : 0.01
60
+ output_dir : /workspace/experiments/exp_002_base_lora
61
+ overwrite_output_dir : False
62
+ resume_from_checkpoint : True
63
+ push_to_hub : True
64
+ use_auth_token : True
65
+ hub_model_id : None
66
+ report_to : ['tensorboard']
67
+ push_augmented_dataset : False
68
+ augmented_dataset_id : None
69
+ augmented_dataset_private : False
70
+ augmented_dataset_include_eval: True
71
+ hub_token : None
72
+ early_stopping_patience : 5
73
+ metric_for_best_model : wer
74
+ greater_is_better : False
75
+ load_best_model_at_end : True
76
+ ======================================================================
77
+
78
+ Loading model and tokenizer...
79
+ Setting up LoRA (rank=64, alpha=128)...
80
+ trainable params: 2,359,296 || all params: 74,953,216 || trainable%: 3.1477
81
+ ✓ LoRA configured
82
+ Loading and preparing datasets...
83
+ Loading train dataset: ihanif/pashto_augmented_speech (config: default, split: train, mode: streaming)
84
+ Loading eval dataset: ihanif/pashto_augmented_speech (config: default, split: test, mode: cached)
85
+ Eval dataset size: 2801
86
+
87
+ ======================================================================
88
+ PREPROCESSING DATASETS
89
+ ======================================================================
90
+ Mode: STREAMING — no Arrow cache, features computed on-the-fly
91
+ Training starts immediately (no preprocessing wait)
92
+ Eval samples: 2801
93
+ Workers: N/A (streaming)
94
+ ======================================================================
95
+
96
+ ✓ Streaming train pipeline ready (lazy — processing starts at first training step)
97
+
98
+ Processing 2801 eval samples...
99
+
100
+ Eval samples after filtering: 2801
101
+ ✓ Early stopping enabled (patience=5)
102
+ ✓ Graceful stop enabled — to stop cleanly: touch /workspace/experiments/exp_002_base_lora/stop_training
103
+
104
+ ======================================================================
105
+ STARTING TRAINING
106
+ ======================================================================
107
+ Model: openai/whisper-base
108
+ Language: Pashto
109
+ Train samples: streaming (length unknown — no Arrow cache)
110
+ Eval samples: 2801
111
+ LoRA: rank=64, alpha=128
112
+ Early stopping: patience=5
113
+ Output directory: /workspace/experiments/exp_002_base_lora
114
+ ======================================================================
115
+
116
+
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323
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  2%|▏ | 200/10000 [01:54<1:09:45, 2.34it/s]
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412
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426
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469
  3%|▎ | 342/10000 [02:55<1:08:27, 2.35it/s]
470
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471
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500
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+
633
  5%|▌ | 500/10000 [04:02<1:07:32, 2.34it/s]Due to a bug fix in https://github.com/huggingface/transformers/pull/28687 transcription using a multilingual Whisper will default to language detection followed by transcription instead of translation to English.This might be a breaking change for your use case. If you want to instead always translate your audio to English, make sure to pass `language='en'`.
634
+ The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.
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merges.txt ADDED
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nohup.log ADDED
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  0%| | 0/10000 [00:00<?, ?it/s]Passing a tuple of `past_key_values` is deprecated and will be removed in Transformers v4.43.0. You should pass an instance of `EncoderDecoderCache` instead, e.g. `past_key_values=EncoderDecoderCache.from_legacy_cache(past_key_values)`.
 
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  3%|▎ | 337/10000 [02:53<1:08:35, 2.35it/s]
344
  3%|▎ | 338/10000 [02:53<1:08:27, 2.35it/s]
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  3%|▎ | 339/10000 [02:54<1:08:25, 2.35it/s]
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  3%|▎ | 340/10000 [02:54<1:08:23, 2.35it/s]
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  3%|▎ | 341/10000 [02:54<1:08:28, 2.35it/s]
348
  3%|▎ | 342/10000 [02:55<1:08:27, 2.35it/s]
349
  3%|▎ | 343/10000 [02:55<1:08:37, 2.35it/s]
350
  3%|▎ | 344/10000 [02:56<1:08:38, 2.34it/s]
351
  3%|▎ | 345/10000 [02:56<1:08:36, 2.35it/s]
352
  3%|▎ | 346/10000 [02:56<1:08:30, 2.35it/s]
353
  3%|▎ | 347/10000 [02:57<1:08:26, 2.35it/s]
354
  3%|▎ | 348/10000 [02:57<1:08:20, 2.35it/s]
355
  3%|▎ | 349/10000 [02:58<1:08:27, 2.35it/s]
356
  4%|▎ | 350/10000 [02:58<1:08:23, 2.35it/s]
357
  4%|▎ | 351/10000 [02:59<1:08:31, 2.35it/s]
358
  4%|▎ | 352/10000 [02:59<1:08:27, 2.35it/s]
359
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  4%|▎ | 355/10000 [03:00<1:08:39, 2.34it/s]
362
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364
  4%|▎ | 358/10000 [03:02<1:08:25, 2.35it/s]
365
  4%|▎ | 359/10000 [03:02<1:08:18, 2.35it/s]
366
  4%|▎ | 360/10000 [03:02<1:08:13, 2.35it/s]
367
  4%|▎ | 361/10000 [03:03<1:08:11, 2.36it/s]
368
  4%|▎ | 362/10000 [03:03<1:08:28, 2.35it/s]
369
  4%|▎ | 363/10000 [03:04<1:08:20, 2.35it/s]
370
  4%|▎ | 364/10000 [03:04<1:08:16, 2.35it/s]
371
  4%|▎ | 365/10000 [03:05<1:08:22, 2.35it/s]
372
  4%|▎ | 366/10000 [03:05<1:08:25, 2.35it/s]
373
  4%|▎ | 367/10000 [03:05<1:08:20, 2.35it/s]
374
  4%|▎ | 368/10000 [03:06<1:08:18, 2.35it/s]
375
  4%|▎ | 369/10000 [03:06<1:08:12, 2.35it/s]
376
  4%|▎ | 370/10000 [03:07<1:08:08, 2.36it/s]
377
  4%|▎ | 371/10000 [03:07<1:08:12, 2.35it/s]
378
  4%|▎ | 372/10000 [03:08<1:08:15, 2.35it/s]
379
  4%|▎ | 373/10000 [03:08<1:08:11, 2.35it/s]
380
  4%|▎ | 374/10000 [03:08<1:08:07, 2.35it/s]
381
  4%|▍ | 375/10000 [03:09<1:08:12, 2.35it/s]
382
  4%|▍ | 376/10000 [03:09<1:08:17, 2.35it/s]
383
  4%|▍ | 377/10000 [03:10<1:08:22, 2.35it/s]
384
  4%|▍ | 378/10000 [03:10<1:08:23, 2.34it/s]
385
  4%|▍ | 379/10000 [03:11<1:08:23, 2.34it/s]
386
  4%|▍ | 380/10000 [03:11<1:08:21, 2.35it/s]
387
  4%|▍ | 381/10000 [03:11<1:08:21, 2.35it/s]
388
  4%|▍ | 382/10000 [03:12<1:08:26, 2.34it/s]
389
  4%|▍ | 383/10000 [03:12<1:08:26, 2.34it/s]
390
  4%|▍ | 384/10000 [03:13<1:08:22, 2.34it/s]
391
  4%|▍ | 385/10000 [03:13<1:08:17, 2.35it/s]
392
  4%|▍ | 386/10000 [03:14<1:08:19, 2.35it/s]
393
  4%|▍ | 387/10000 [03:14<1:08:19, 2.35it/s]
394
  4%|▍ | 388/10000 [03:14<1:08:16, 2.35it/s]
395
  4%|▍ | 389/10000 [03:15<1:08:09, 2.35it/s]
396
  4%|▍ | 390/10000 [03:15<1:08:09, 2.35it/s]
397
  4%|▍ | 391/10000 [03:16<1:08:08, 2.35it/s]
398
  4%|▍ | 392/10000 [03:16<1:08:08, 2.35it/s]
399
  4%|▍ | 393/10000 [03:16<1:08:07, 2.35it/s]
400
  4%|▍ | 394/10000 [03:17<1:08:06, 2.35it/s]
401
  4%|▍ | 395/10000 [03:17<1:08:02, 2.35it/s]
402
  4%|▍ | 396/10000 [03:18<1:08:04, 2.35it/s]
403
  4%|▍ | 397/10000 [03:18<1:08:02, 2.35it/s]
404
  4%|▍ | 398/10000 [03:19<1:08:02, 2.35it/s]
405
  4%|▍ | 399/10000 [03:19<1:08:01, 2.35it/s]
406
  4%|▍ | 400/10000 [03:19<1:08:04, 2.35it/s]
407
 
 
408
  4%|▍ | 400/10000 [03:19<1:08:04, 2.35it/s]
409
  4%|▍ | 401/10000 [03:20<1:08:02, 2.35it/s]
410
  4%|▍ | 402/10000 [03:20<1:08:14, 2.34it/s]
411
  4%|▍ | 403/10000 [03:21<1:08:16, 2.34it/s]
412
  4%|▍ | 404/10000 [03:21<1:08:15, 2.34it/s]
413
  4%|▍ | 405/10000 [03:22<1:08:14, 2.34it/s]
414
  4%|▍ | 406/10000 [03:22<1:08:10, 2.35it/s]
415
  4%|▍ | 407/10000 [03:22<1:08:02, 2.35it/s]
416
  4%|▍ | 408/10000 [03:23<1:08:21, 2.34it/s]
417
  4%|▍ | 409/10000 [03:23<1:08:13, 2.34it/s]
418
  4%|▍ | 410/10000 [03:24<1:08:08, 2.35it/s]
419
  4%|▍ | 411/10000 [03:24<1:08:06, 2.35it/s]
420
  4%|▍ | 412/10000 [03:25<1:08:01, 2.35it/s]
421
  4%|▍ | 413/10000 [03:25<1:08:19, 2.34it/s]
422
  4%|▍ | 414/10000 [03:25<1:08:14, 2.34it/s]
423
  4%|▍ | 415/10000 [03:26<1:08:04, 2.35it/s]
424
  4%|▍ | 416/10000 [03:26<1:08:11, 2.34it/s]
425
  4%|▍ | 417/10000 [03:27<1:08:25, 2.33it/s]
426
  4%|▍ | 418/10000 [03:27<1:08:11, 2.34it/s]
427
  4%|▍ | 419/10000 [03:28<1:08:12, 2.34it/s]
428
  4%|▍ | 420/10000 [03:28<1:08:07, 2.34it/s]
429
  4%|▍ | 421/10000 [03:28<1:08:00, 2.35it/s]
430
  4%|▍ | 422/10000 [03:29<1:08:04, 2.35it/s]
431
  4%|▍ | 423/10000 [03:29<1:08:11, 2.34it/s]
432
  4%|▍ | 424/10000 [03:30<1:08:07, 2.34it/s]
433
  4%|▍ | 425/10000 [03:30<1:08:04, 2.34it/s]
434
  4%|▍ | 426/10000 [03:31<1:08:14, 2.34it/s]
435
  4%|▍ | 427/10000 [03:31<1:08:07, 2.34it/s]
436
  4%|▍ | 428/10000 [03:31<1:08:03, 2.34it/s]
437
  4%|▍ | 429/10000 [03:32<1:08:05, 2.34it/s]
438
  4%|▍ | 430/10000 [03:32<1:07:56, 2.35it/s]
439
  4%|▍ | 431/10000 [03:33<1:07:49, 2.35it/s]
440
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441
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442
  4%|▍ | 434/10000 [03:34<1:07:59, 2.35it/s]
443
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444
  4%|▍ | 436/10000 [03:35<1:07:45, 2.35it/s]
445
  4%|▍ | 437/10000 [03:35<1:07:45, 2.35it/s]
446
  4%|▍ | 438/10000 [03:36<1:07:43, 2.35it/s]
447
  4%|▍ | 439/10000 [03:36<1:07:42, 2.35it/s]
448
  4%|▍ | 440/10000 [03:37<1:07:47, 2.35it/s]
449
  4%|▍ | 441/10000 [03:37<1:07:41, 2.35it/s]
450
  4%|▍ | 442/10000 [03:37<1:07:42, 2.35it/s]
451
  4%|▍ | 443/10000 [03:38<1:07:46, 2.35it/s]
452
  4%|▍ | 444/10000 [03:38<1:07:45, 2.35it/s]
453
  4%|▍ | 445/10000 [03:39<1:07:48, 2.35it/s]
454
  4%|▍ | 446/10000 [03:39<1:07:53, 2.35it/s]
455
  4%|▍ | 447/10000 [03:40<1:07:44, 2.35it/s]
456
  4%|▍ | 448/10000 [03:40<1:07:42, 2.35it/s]
457
  4%|▍ | 449/10000 [03:40<1:07:50, 2.35it/s]
458
  4%|▍ | 450/10000 [03:41<1:07:37, 2.35it/s]
459
  5%|▍ | 451/10000 [03:41<1:07:36, 2.35it/s]
460
  5%|▍ | 452/10000 [03:42<1:07:37, 2.35it/s]
461
  5%|▍ | 453/10000 [03:42<1:07:47, 2.35it/s]
462
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463
  5%|▍ | 455/10000 [03:43<1:07:58, 2.34it/s]
464
  5%|▍ | 456/10000 [03:43<1:08:01, 2.34it/s]
465
  5%|▍ | 457/10000 [03:44<1:07:54, 2.34it/s]
466
  5%|▍ | 458/10000 [03:44<1:07:52, 2.34it/s]
467
  5%|▍ | 459/10000 [03:45<1:08:11, 2.33it/s]
468
  5%|▍ | 460/10000 [03:45<1:07:49, 2.34it/s]
469
  5%|▍ | 461/10000 [03:45<1:07:54, 2.34it/s]
470
  5%|▍ | 462/10000 [03:46<1:08:08, 2.33it/s]
471
  5%|▍ | 463/10000 [03:46<1:08:00, 2.34it/s]
472
  5%|▍ | 464/10000 [03:47<1:08:02, 2.34it/s]
473
  5%|▍ | 465/10000 [03:47<1:07:56, 2.34it/s]
474
  5%|▍ | 466/10000 [03:48<1:07:54, 2.34it/s]
475
  5%|▍ | 467/10000 [03:48<1:07:48, 2.34it/s]
476
  5%|▍ | 468/10000 [03:48<1:08:04, 2.33it/s]
477
  5%|▍ | 469/10000 [03:49<1:08:16, 2.33it/s]
478
  5%|▍ | 470/10000 [03:49<1:07:57, 2.34it/s]
479
  5%|▍ | 471/10000 [03:50<1:07:44, 2.34it/s]
480
  5%|▍ | 472/10000 [03:50<1:08:02, 2.33it/s]
481
  5%|▍ | 473/10000 [03:51<1:08:00, 2.33it/s]
482
  5%|▍ | 474/10000 [03:51<1:07:54, 2.34it/s]
483
  5%|▍ | 475/10000 [03:51<1:07:46, 2.34it/s]
484
  5%|▍ | 476/10000 [03:52<1:07:40, 2.35it/s]
485
  5%|▍ | 477/10000 [03:52<1:07:42, 2.34it/s]
486
  5%|▍ | 478/10000 [03:53<1:07:45, 2.34it/s]
487
  5%|▍ | 479/10000 [03:53<1:07:38, 2.35it/s]
488
  5%|▍ | 480/10000 [03:54<1:07:57, 2.34it/s]
489
  5%|▍ | 481/10000 [03:54<1:07:47, 2.34it/s]
490
  5%|▍ | 482/10000 [03:54<1:07:39, 2.34it/s]
491
  5%|▍ | 483/10000 [03:55<1:07:33, 2.35it/s]
492
  5%|▍ | 484/10000 [03:55<1:07:29, 2.35it/s]
493
  5%|▍ | 485/10000 [03:56<1:07:20, 2.35it/s]
494
  5%|▍ | 486/10000 [03:56<1:07:14, 2.36it/s]
495
  5%|▍ | 487/10000 [03:57<1:07:46, 2.34it/s]
496
  5%|▍ | 488/10000 [03:57<1:07:35, 2.35it/s]
497
  5%|▍ | 489/10000 [03:57<1:07:52, 2.34it/s]
498
  5%|▍ | 490/10000 [03:58<1:07:44, 2.34it/s]
499
  5%|▍ | 491/10000 [03:58<1:07:38, 2.34it/s]
500
  5%|▍ | 492/10000 [03:59<1:07:37, 2.34it/s]
501
  5%|▍ | 493/10000 [03:59<1:07:37, 2.34it/s]
502
  5%|▍ | 494/10000 [04:00<1:07:27, 2.35it/s]
503
  5%|▍ | 495/10000 [04:00<1:07:28, 2.35it/s]
504
  5%|▍ | 496/10000 [04:00<1:07:34, 2.34it/s]
505
  5%|▍ | 497/10000 [04:01<1:07:34, 2.34it/s]
506
  5%|▍ | 498/10000 [04:01<1:07:33, 2.34it/s]
507
  5%|▍ | 499/10000 [04:02<1:07:33, 2.34it/s]
508
  5%|▌ | 500/10000 [04:02<1:07:32, 2.34it/s]
509
 
 
510
  5%|▌ | 500/10000 [04:02<1:07:32, 2.34it/s]Due to a bug fix in https://github.com/huggingface/transformers/pull/28687 transcription using a multilingual Whisper will default to language detection followed by transcription instead of translation to English.This might be a breaking change for your use case. If you want to instead always translate your audio to English, make sure to pass `language='en'`.
 
 
 
511
  0%| | 0/176 [00:00<?, ?it/s]
 
512
  1%| | 2/176 [00:00<01:01, 2.84it/s]
 
513
  2%|▏ | 3/176 [00:01<01:43, 1.67it/s]
 
514
  2%|▏ | 4/176 [00:02<01:52, 1.52it/s]
 
515
  3%|▎ | 5/176 [00:03<01:58, 1.45it/s]
 
516
  3%|▎ | 6/176 [00:03<02:01, 1.40it/s]
 
517
  4%|▍ | 7/176 [00:04<02:03, 1.37it/s]
 
518
  5%|▍ | 8/176 [00:05<02:02, 1.38it/s]
 
519
  5%|▌ | 9/176 [00:06<02:00, 1.39it/s]
 
520
  6%|▌ | 10/176 [00:06<02:02, 1.36it/s]
 
521
  6%|▋ | 11/176 [00:07<02:00, 1.37it/s]
 
522
  7%|▋ | 12/176 [00:08<02:00, 1.36it/s]
 
523
  7%|▋ | 13/176 [00:09<02:00, 1.36it/s]
 
524
  8%|▊ | 14/176 [00:09<01:56, 1.39it/s]
 
525
  9%|▊ | 15/176 [00:10<01:56, 1.39it/s]
 
526
  9%|▉ | 16/176 [00:11<01:55, 1.38it/s]
 
527
  10%|▉ | 17/176 [00:11<01:57, 1.36it/s]
 
528
  10%|█ | 18/176 [00:12<01:59, 1.32it/s]
 
529
  11%|█ | 19/176 [00:14<02:50, 1.08s/it]
 
530
  11%|█▏ | 20/176 [00:15<02:32, 1.02it/s]
 
531
  12%|█▏ | 21/176 [00:16<02:21, 1.10it/s]
 
532
  12%|█▎ | 22/176 [00:16<02:13, 1.15it/s]
 
533
  13%|█▎ | 23/176 [00:17<02:06, 1.21it/s]
 
534
  14%|█▎ | 24/176 [00:18<02:01, 1.25it/s]
 
535
  14%|█▍ | 25/176 [00:19<01:59, 1.26it/s]
 
536
  15%|█▍ | 26/176 [00:19<01:57, 1.27it/s]
 
537
  15%|█▌ | 27/176 [00:20<01:54, 1.30it/s]
 
538
  16%|█▌ | 28/176 [00:21<01:50, 1.34it/s]
 
539
  16%|█▋ | 29/176 [00:23<02:38, 1.08s/it]
 
540
  17%|█▋ | 30/176 [00:23<02:22, 1.03it/s]
 
541
  18%|█▊ | 31/176 [00:24<02:10, 1.11it/s]
 
542
  18%|█▊ | 32/176 [00:25<02:01, 1.18it/s]
 
543
  19%|█▉ | 33/176 [00:26<01:54, 1.24it/s]
 
544
  19%|█▉ | 34/176 [00:26<01:51, 1.27it/s]
 
545
  20%|█▉ | 35/176 [00:27<01:48, 1.30it/s]
 
546
  20%|██ | 36/176 [00:28<01:45, 1.32it/s]
 
547
  21%|██ | 37/176 [00:29<01:45, 1.32it/s]
 
548
  22%|██▏ | 38/176 [00:29<01:43, 1.34it/s]
 
549
  22%|██▏ | 39/176 [00:30<01:44, 1.32it/s]
 
550
  23%|██▎ | 40/176 [00:31<01:41, 1.35it/s]
 
551
  23%|██▎ | 41/176 [00:31<01:38, 1.37it/s]
 
552
  24%|██▍ | 42/176 [00:32<01:39, 1.35it/s]
 
553
  24%|██▍ | 43/176 [00:33<01:38, 1.36it/s]
 
554
  25%|██▌ | 44/176 [00:34<01:37, 1.35it/s]
 
555
  26%|██▌ | 45/176 [00:34<01:37, 1.34it/s]
 
556
  26%|██▌ | 46/176 [00:35<01:36, 1.34it/s]
 
557
  27%|██▋ | 47/176 [00:36<01:33, 1.37it/s]
 
558
  27%|██▋ | 48/176 [00:37<01:34, 1.35it/s]
 
559
  28%|██▊ | 49/176 [00:37<01:35, 1.33it/s]
 
560
  28%|██▊ | 50/176 [00:38<01:32, 1.36it/s]
 
561
  29%|██▉ | 51/176 [00:39<01:30, 1.38it/s]
 
562
  30%|██▉ | 52/176 [00:40<01:29, 1.38it/s]
 
563
  30%|███ | 53/176 [00:40<01:33, 1.32it/s]
 
564
  31%|███ | 54/176 [00:42<02:12, 1.08s/it]
 
565
  31%|███▏ | 55/176 [00:43<01:59, 1.02it/s]
 
566
  32%|███▏ | 56/176 [00:44<01:49, 1.09it/s]
 
567
  32%|███▏ | 57/176 [00:44<01:42, 1.16it/s]
 
568
  33%|███▎ | 58/176 [00:45<01:36, 1.23it/s]
 
569
  34%|███▎ | 59/176 [00:46<01:31, 1.27it/s]
 
570
  34%|███▍ | 60/176 [00:47<01:28, 1.31it/s]
 
571
  35%|███▍ | 61/176 [00:47<01:27, 1.31it/s]
 
572
  35%|███▌ | 62/176 [00:48<01:25, 1.33it/s]
 
573
  36%|███▌ | 63/176 [00:49<01:24, 1.34it/s]
 
574
  36%|███▋ | 64/176 [00:51<02:00, 1.08s/it]
 
575
  37%|███▋ | 65/176 [00:51<01:48, 1.03it/s]
 
576
  38%|███▊ | 66/176 [00:52<01:38, 1.11it/s]
 
577
  38%|███▊ | 67/176 [00:53<01:33, 1.17it/s]
 
578
  39%|███▊ | 68/176 [00:55<02:04, 1.15s/it]
 
579
  39%|███▉ | 69/176 [00:55<01:49, 1.03s/it]
 
580
  40%|███▉ | 70/176 [00:56<01:37, 1.08it/s]
 
581
  40%|████ | 71/176 [00:57<01:32, 1.14it/s]
 
582
  41%|████ | 72/176 [00:58<01:27, 1.20it/s]
 
583
  41%|████▏ | 73/176 [00:58<01:23, 1.23it/s]
 
584
  42%|████▏ | 74/176 [00:59<01:19, 1.28it/s]
 
585
  43%|████▎ | 75/176 [01:00<01:17, 1.31it/s]
 
586
  43%|████▎ | 76/176 [01:01<01:15, 1.33it/s]
 
587
  44%|████▍ | 77/176 [01:01<01:14, 1.33it/s]
 
588
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1
+ ========================================
2
+ Experiment: exp_002_base_lora
3
+ Model: openai/whisper-base (74M params)
4
+ Strategy: LoRA (rank=64, alpha=128)
5
+ Dataset: Pre-augmented Pashto
6
+ Output: /workspace/experiments/exp_002_base_lora
7
+ ========================================
8
+
9
+ ======================================================================
10
+ ARGUMENTS SUMMARY
11
+ ======================================================================
12
+ model_name : openai/whisper-base
13
+ language : Pashto
14
+ intermediate_model_path : None
15
+ freeze_encoder_layers : 0
16
+ freeze_encoder_ratio : 0.0
17
+ freeze_feature_encoder : False
18
+ use_lora : True
19
+ lora_rank : 64
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+ lora_alpha : 128
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+ lora_dropout : 0.1
22
+ sampling_rate : 16000
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+ num_proc : 1
24
+ train_datasets : ['ihanif/pashto_augmented_speech']
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+ train_dataset_configs : ['default']
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+ train_dataset_splits : ['train']
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+ train_dataset_text_columns : ['sentence']
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+ eval_datasets : ['ihanif/pashto_augmented_speech']
29
+ eval_dataset_configs : ['default']
30
+ eval_dataset_splits : ['test']
31
+ eval_dataset_text_columns : ['sentence']
32
+ max_train_samples : None
33
+ max_eval_samples : None
34
+ streaming : True
35
+ augment_speed : False
36
+ augment_pitch : False
37
+ augment_noise : False
38
+ augment_volume : False
39
+ augment_reverb : False
40
+ noise_snr : 15.0
41
+ augment_probability : 0.7
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+ train_strategy : steps
43
+ learning_rate : 0.0001
44
+ warmup_steps : 500
45
+ warmup_ratio : 0.1
46
+ train_batchsize : 32
47
+ eval_batchsize : 16
48
+ gradient_accumulation_steps : 1
49
+ dataloader_num_workers : 4
50
+ num_epochs : 10
51
+ num_steps : 10000
52
+ max_duration_in_seconds : 30.0
53
+ min_duration_in_seconds : 0.5
54
+ eval_strategy : steps
55
+ eval_steps : 500
56
+ save_strategy : steps
57
+ save_steps : 500
58
+ save_total_limit : 1
59
+ logging_steps : 100
60
+ compute_cer : True
61
+ eval_ortho_wer : True
62
+ gradient_checkpointing : False
63
+ fp16 : False
64
+ bf16 : True
65
+ bf16_full_eval : False
66
+ weight_decay : 0.01
67
+ output_dir : /workspace/experiments/exp_002_base_lora
68
+ overwrite_output_dir : False
69
+ resume_from_checkpoint : True
70
+ push_to_hub : True
71
+ use_auth_token : True
72
+ hub_model_id : None
73
+ report_to : ['tensorboard']
74
+ push_augmented_dataset : False
75
+ augmented_dataset_id : None
76
+ augmented_dataset_private : False
77
+ augmented_dataset_include_eval: True
78
+ hub_token : None
79
+ early_stopping_patience : 5
80
+ metric_for_best_model : wer
81
+ greater_is_better : False
82
+ load_best_model_at_end : True
83
+ ======================================================================
84
+
85
+ Loading model and tokenizer...
86
+ Setting up LoRA (rank=64, alpha=128)...
87
+ trainable params: 2,359,296 || all params: 74,953,216 || trainable%: 3.1477
88
+ ✓ LoRA configured
89
+ Loading and preparing datasets...
90
+ Loading train dataset: ihanif/pashto_augmented_speech (config: default, split: train, mode: streaming)
91
+ Loading eval dataset: ihanif/pashto_augmented_speech (config: default, split: test, mode: cached)
92
+ Eval dataset size: 2801
93
+
94
+ ======================================================================
95
+ PREPROCESSING DATASETS
96
+ ======================================================================
97
+ Mode: STREAMING — no Arrow cache, features computed on-the-fly
98
+ Training starts immediately (no preprocessing wait)
99
+ Eval samples: 2801
100
+ Workers: N/A (streaming)
101
+ ======================================================================
102
+
103
+ ✓ Streaming train pipeline ready (lazy — processing starts at first training step)
104
+
105
+ Processing 2801 eval samples...
106
+
107
+ Eval samples after filtering: 2801
108
+ ✓ Early stopping enabled (patience=5)
109
+ ✓ Graceful stop enabled — to stop cleanly: touch /workspace/experiments/exp_002_base_lora/stop_training
110
+
111
+ ======================================================================
112
+ STARTING TRAINING
113
+ ======================================================================
114
+ Model: openai/whisper-base
115
+ Language: Pashto
116
+ Train samples: streaming (length unknown — no Arrow cache)
117
+ Eval samples: 2801
118
+ LoRA: rank=64, alpha=128
119
+ Early stopping: patience=5
120
+ Output directory: /workspace/experiments/exp_002_base_lora
121
+ ======================================================================
122
+
123
+
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330
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331
  2%|▏ | 200/10000 [01:54<1:09:45, 2.34it/s]
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  2%|▏ | 208/10000 [01:58<1:09:42, 2.34it/s]
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  2%|▏ | 210/10000 [01:59<1:09:27, 2.35it/s]
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  2%|▏ | 211/10000 [01:59<1:09:28, 2.35it/s]
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  2%|▏ | 212/10000 [01:59<1:09:34, 2.34it/s]
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  2%|▏ | 214/10000 [02:00<1:09:35, 2.34it/s]
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  2%|▏ | 215/10000 [02:01<1:09:26, 2.35it/s]
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  2%|▏ | 216/10000 [02:01<1:09:19, 2.35it/s]
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  2%|▏ | 217/10000 [02:02<1:09:18, 2.35it/s]
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  2%|▏ | 218/10000 [02:02<1:09:18, 2.35it/s]
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418
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419
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433
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469
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536
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639
+
640
  5%|▌ | 500/10000 [04:02<1:07:32, 2.34it/s]Due to a bug fix in https://github.com/huggingface/transformers/pull/28687 transcription using a multilingual Whisper will default to language detection followed by transcription instead of translation to English.This might be a breaking change for your use case. If you want to instead always translate your audio to English, make sure to pass `language='en'`.
641
+ The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.
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normalizer.json ADDED
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1
+ {
2
+ "accessorise": "accessorize",
3
+ "accessorised": "accessorized",
4
+ "accessorises": "accessorizes",
5
+ "accessorising": "accessorizing",
6
+ "acclimatisation": "acclimatization",
7
+ "acclimatise": "acclimatize",
8
+ "acclimatised": "acclimatized",
9
+ "acclimatises": "acclimatizes",
10
+ "acclimatising": "acclimatizing",
11
+ "accoutrements": "accouterments",
12
+ "aeon": "eon",
13
+ "aeons": "eons",
14
+ "aerogramme": "aerogram",
15
+ "aerogrammes": "aerograms",
16
+ "aeroplane": "airplane",
17
+ "aeroplanes": "airplanes",
18
+ "aesthete": "esthete",
19
+ "aesthetes": "esthetes",
20
+ "aesthetic": "esthetic",
21
+ "aesthetically": "esthetically",
22
+ "aesthetics": "esthetics",
23
+ "aetiology": "etiology",
24
+ "ageing": "aging",
25
+ "aggrandisement": "aggrandizement",
26
+ "agonise": "agonize",
27
+ "agonised": "agonized",
28
+ "agonises": "agonizes",
29
+ "agonising": "agonizing",
30
+ "agonisingly": "agonizingly",
31
+ "almanack": "almanac",
32
+ "almanacks": "almanacs",
33
+ "aluminium": "aluminum",
34
+ "amortisable": "amortizable",
35
+ "amortisation": "amortization",
36
+ "amortisations": "amortizations",
37
+ "amortise": "amortize",
38
+ "amortised": "amortized",
39
+ "amortises": "amortizes",
40
+ "amortising": "amortizing",
41
+ "amphitheatre": "amphitheater",
42
+ "amphitheatres": "amphitheaters",
43
+ "anaemia": "anemia",
44
+ "anaemic": "anemic",
45
+ "anaesthesia": "anesthesia",
46
+ "anaesthetic": "anesthetic",
47
+ "anaesthetics": "anesthetics",
48
+ "anaesthetise": "anesthetize",
49
+ "anaesthetised": "anesthetized",
50
+ "anaesthetises": "anesthetizes",
51
+ "anaesthetising": "anesthetizing",
52
+ "anaesthetist": "anesthetist",
53
+ "anaesthetists": "anesthetists",
54
+ "anaesthetize": "anesthetize",
55
+ "anaesthetized": "anesthetized",
56
+ "anaesthetizes": "anesthetizes",
57
+ "anaesthetizing": "anesthetizing",
58
+ "analogue": "analog",
59
+ "analogues": "analogs",
60
+ "analyse": "analyze",
61
+ "analysed": "analyzed",
62
+ "analyses": "analyzes",
63
+ "analysing": "analyzing",
64
+ "anglicise": "anglicize",
65
+ "anglicised": "anglicized",
66
+ "anglicises": "anglicizes",
67
+ "anglicising": "anglicizing",
68
+ "annualised": "annualized",
69
+ "antagonise": "antagonize",
70
+ "antagonised": "antagonized",
71
+ "antagonises": "antagonizes",
72
+ "antagonising": "antagonizing",
73
+ "apologise": "apologize",
74
+ "apologised": "apologized",
75
+ "apologises": "apologizes",
76
+ "apologising": "apologizing",
77
+ "appal": "appall",
78
+ "appals": "appalls",
79
+ "appetiser": "appetizer",
80
+ "appetisers": "appetizers",
81
+ "appetising": "appetizing",
82
+ "appetisingly": "appetizingly",
83
+ "arbour": "arbor",
84
+ "arbours": "arbors",
85
+ "archaeologically": "archeologically",
86
+ "archaeologist": "archeologist",
87
+ "archaeologists": "archeologists",
88
+ "archaeology": "archeology</span>",
89
+ "archeological": "archaeological",
90
+ "ardour": "ardor",
91
+ "armour": "armor",
92
+ "armoured": "armored",
93
+ "armourer": "armorer",
94
+ "armourers": "armorers",
95
+ "armouries": "armories",
96
+ "armoury": "armory",
97
+ "artefact": "artifact",
98
+ "artefacts": "artifacts",
99
+ "authorise": "authorize",
100
+ "authorised": "authorized",
101
+ "authorises": "authorizes",
102
+ "authorising": "authorizing",
103
+ "axe": "ax",
104
+ "backpedalled": "backpedaled",
105
+ "backpedalling": "backpedaling",
106
+ "bannister": "banister",
107
+ "bannisters": "banisters",
108
+ "baptise": "baptize",
109
+ "baptised": "baptized",
110
+ "baptises": "baptizes",
111
+ "baptising": "baptizing",
112
+ "bastardise": "bastardize",
113
+ "bastardised": "bastardized",
114
+ "bastardises": "bastardizes",
115
+ "bastardising": "bastardizing",
116
+ "battleax": "battleaxe",
117
+ "baulk": "balk",
118
+ "baulked": "balked",
119
+ "baulking": "balking",
120
+ "baulks": "balks",
121
+ "bedevilled": "bedeviled",
122
+ "bedevilling": "bedeviling",
123
+ "behaviour": "behavior",
124
+ "behavioural": "behavioral",
125
+ "behaviourism": "behaviorism",
126
+ "behaviourist": "behaviorist",
127
+ "behaviourists": "behaviorists",
128
+ "behaviours": "behaviors",
129
+ "behove": "behoove",
130
+ "behoved": "behooved",
131
+ "behoves": "behooves",
132
+ "bejewelled": "bejeweled",
133
+ "belabour": "belabor",
134
+ "belaboured": "belabored",
135
+ "belabouring": "belaboring",
136
+ "belabours": "belabors",
137
+ "bevelled": "beveled",
138
+ "bevvies": "bevies",
139
+ "bevvy": "bevy",
140
+ "biassed": "biased",
141
+ "biassing": "biasing",
142
+ "bingeing": "binging",
143
+ "bougainvillaea": "bougainvillea",
144
+ "bougainvillaeas": "bougainvilleas",
145
+ "bowdlerise": "bowdlerize",
146
+ "bowdlerised": "bowdlerized",
147
+ "bowdlerises": "bowdlerizes",
148
+ "bowdlerising": "bowdlerizing",
149
+ "breathalyse": "breathalyze",
150
+ "breathalysed": "breathalyzed",
151
+ "breathalyser": "breathalyzer",
152
+ "breathalysers": "breathalyzers",
153
+ "breathalyses": "breathalyzes",
154
+ "breathalysing": "breathalyzing",
155
+ "brutalise": "brutalize",
156
+ "brutalised": "brutalized",
157
+ "brutalises": "brutalizes",
158
+ "brutalising": "brutalizing",
159
+ "busses": "buses",
160
+ "bussing": "busing",
161
+ "caesarean": "cesarean",
162
+ "caesareans": "cesareans",
163
+ "calibre": "caliber",
164
+ "calibres": "calibers",
165
+ "calliper": "caliper",
166
+ "callipers": "calipers",
167
+ "callisthenics": "calisthenics",
168
+ "canalise": "canalize",
169
+ "canalised": "canalized",
170
+ "canalises": "canalizes",
171
+ "canalising": "canalizing",
172
+ "cancelation": "cancellation",
173
+ "cancelations": "cancellations",
174
+ "cancelled": "canceled",
175
+ "cancelling": "canceling",
176
+ "candour": "candor",
177
+ "cannibalise": "cannibalize",
178
+ "cannibalised": "cannibalized",
179
+ "cannibalises": "cannibalizes",
180
+ "cannibalising": "cannibalizing",
181
+ "canonise": "canonize",
182
+ "canonised": "canonized",
183
+ "canonises": "canonizes",
184
+ "canonising": "canonizing",
185
+ "capitalise": "capitalize",
186
+ "capitalised": "capitalized",
187
+ "capitalises": "capitalizes",
188
+ "capitalising": "capitalizing",
189
+ "caramelise": "caramelize",
190
+ "caramelised": "caramelized",
191
+ "caramelises": "caramelizes",
192
+ "caramelising": "caramelizing",
193
+ "carbonise": "carbonize",
194
+ "carbonised": "carbonized",
195
+ "carbonises": "carbonizes",
196
+ "carbonising": "carbonizing",
197
+ "carolled": "caroled",
198
+ "carolling": "caroling",
199
+ "catalogue": "catalog",
200
+ "catalogued": "cataloged",
201
+ "catalogues": "catalogs",
202
+ "cataloguing": "cataloging",
203
+ "catalyse": "catalyze",
204
+ "catalysed": "catalyzed",
205
+ "catalyses": "catalyzes",
206
+ "catalysing": "catalyzing",
207
+ "categorise": "categorize",
208
+ "categorised": "categorized",
209
+ "categorises": "categorizes",
210
+ "categorising": "categorizing",
211
+ "cauterise": "cauterize",
212
+ "cauterised": "cauterized",
213
+ "cauterises": "cauterizes",
214
+ "cauterising": "cauterizing",
215
+ "cavilled": "caviled",
216
+ "cavilling": "caviling",
217
+ "centigramme": "centigram",
218
+ "centigrammes": "centigrams",
219
+ "centilitre": "centiliter",
220
+ "centilitres": "centiliters",
221
+ "centimetre": "centimeter",
222
+ "centimetres": "centimeters",
223
+ "centralise": "centralize",
224
+ "centralised": "centralized",
225
+ "centralises": "centralizes",
226
+ "centralising": "centralizing",
227
+ "centre": "center",
228
+ "centred": "centered",
229
+ "centrefold": "centerfold",
230
+ "centrefolds": "centerfolds",
231
+ "centrepiece": "centerpiece",
232
+ "centrepieces": "centerpieces",
233
+ "centres": "centers",
234
+ "channelled": "channeled",
235
+ "channelling": "channeling",
236
+ "characterise": "characterize",
237
+ "characterised": "characterized",
238
+ "characterises": "characterizes",
239
+ "characterising": "characterizing",
240
+ "cheque": "check",
241
+ "chequebook": "checkbook",
242
+ "chequebooks": "checkbooks",
243
+ "chequered": "checkered",
244
+ "cheques": "checks",
245
+ "chilli": "chili",
246
+ "chimaera": "chimera",
247
+ "chimaeras": "chimeras",
248
+ "chiselled": "chiseled",
249
+ "chiselling": "chiseling",
250
+ "circularise": "circularize",
251
+ "circularised": "circularized",
252
+ "circularises": "circularizes",
253
+ "circularising": "circularizing",
254
+ "civilise": "civilize",
255
+ "civilised": "civilized",
256
+ "civilises": "civilizes",
257
+ "civilising": "civilizing",
258
+ "clamour": "clamor",
259
+ "clamoured": "clamored",
260
+ "clamouring": "clamoring",
261
+ "clamours": "clamors",
262
+ "clangour": "clangor",
263
+ "clarinettist": "clarinetist",
264
+ "clarinettists": "clarinetists",
265
+ "collectivise": "collectivize",
266
+ "collectivised": "collectivized",
267
+ "collectivises": "collectivizes",
268
+ "collectivising": "collectivizing",
269
+ "colonisation": "colonization",
270
+ "colonise": "colonize",
271
+ "colonised": "colonized",
272
+ "coloniser": "colonizer",
273
+ "colonisers": "colonizers",
274
+ "colonises": "colonizes",
275
+ "colonising": "colonizing",
276
+ "colour": "color",
277
+ "colourant": "colorant",
278
+ "colourants": "colorants",
279
+ "coloured": "colored",
280
+ "coloureds": "coloreds",
281
+ "colourful": "colorful",
282
+ "colourfully": "colorfully",
283
+ "colouring": "coloring",
284
+ "colourize": "colorize",
285
+ "colourized": "colorized",
286
+ "colourizes": "colorizes",
287
+ "colourizing": "colorizing",
288
+ "colourless": "colorless",
289
+ "colours": "colors",
290
+ "commercialise": "commercialize",
291
+ "commercialised": "commercialized",
292
+ "commercialises": "commercializes",
293
+ "commercialising": "commercializing",
294
+ "compartmentalise": "compartmentalize",
295
+ "compartmentalised": "compartmentalized",
296
+ "compartmentalises": "compartmentalizes",
297
+ "compartmentalising": "compartmentalizing",
298
+ "computerise": "computerize",
299
+ "computerised": "computerized",
300
+ "computerises": "computerizes",
301
+ "computerising": "computerizing",
302
+ "conceptualise": "conceptualize",
303
+ "conceptualised": "conceptualized",
304
+ "conceptualises": "conceptualizes",
305
+ "conceptualising": "conceptualizing",
306
+ "connexion": "connection",
307
+ "connexions": "connections",
308
+ "contextualise": "contextualize",
309
+ "contextualised": "contextualized",
310
+ "contextualises": "contextualizes",
311
+ "contextualising": "contextualizing",
312
+ "cosier": "cozier",
313
+ "cosies": "cozies",
314
+ "cosiest": "coziest",
315
+ "cosily": "cozily",
316
+ "cosiness": "coziness",
317
+ "cosy": "cozy",
318
+ "councillor": "councilor",
319
+ "councillors": "councilors",
320
+ "counselled": "counseled",
321
+ "counselling": "counseling",
322
+ "counsellor": "counselor",
323
+ "counsellors": "counselors",
324
+ "crenelated": "crenellated",
325
+ "criminalise": "criminalize",
326
+ "criminalised": "criminalized",
327
+ "criminalises": "criminalizes",
328
+ "criminalising": "criminalizing",
329
+ "criticise": "criticize",
330
+ "criticised": "criticized",
331
+ "criticises": "criticizes",
332
+ "criticising": "criticizing",
333
+ "crueller": "crueler",
334
+ "cruellest": "cruelest",
335
+ "crystallisation": "crystallization",
336
+ "crystallise": "crystallize",
337
+ "crystallised": "crystallized",
338
+ "crystallises": "crystallizes",
339
+ "crystallising": "crystallizing",
340
+ "cudgelled": "cudgeled",
341
+ "cudgelling": "cudgeling",
342
+ "customise": "customize",
343
+ "customised": "customized",
344
+ "customises": "customizes",
345
+ "customising": "customizing",
346
+ "cypher": "cipher",
347
+ "cyphers": "ciphers",
348
+ "decentralisation": "decentralization",
349
+ "decentralise": "decentralize",
350
+ "decentralised": "decentralized",
351
+ "decentralises": "decentralizes",
352
+ "decentralising": "decentralizing",
353
+ "decriminalisation": "decriminalization",
354
+ "decriminalise": "decriminalize",
355
+ "decriminalised": "decriminalized",
356
+ "decriminalises": "decriminalizes",
357
+ "decriminalising": "decriminalizing",
358
+ "defence": "defense",
359
+ "defenceless": "defenseless",
360
+ "defences": "defenses",
361
+ "dehumanisation": "dehumanization",
362
+ "dehumanise": "dehumanize",
363
+ "dehumanised": "dehumanized",
364
+ "dehumanises": "dehumanizes",
365
+ "dehumanising": "dehumanizing",
366
+ "demeanour": "demeanor",
367
+ "demilitarisation": "demilitarization",
368
+ "demilitarise": "demilitarize",
369
+ "demilitarised": "demilitarized",
370
+ "demilitarises": "demilitarizes",
371
+ "demilitarising": "demilitarizing",
372
+ "demobilisation": "demobilization",
373
+ "demobilise": "demobilize",
374
+ "demobilised": "demobilized",
375
+ "demobilises": "demobilizes",
376
+ "demobilising": "demobilizing",
377
+ "democratisation": "democratization",
378
+ "democratise": "democratize",
379
+ "democratised": "democratized",
380
+ "democratises": "democratizes",
381
+ "democratising": "democratizing",
382
+ "demonise": "demonize",
383
+ "demonised": "demonized",
384
+ "demonises": "demonizes",
385
+ "demonising": "demonizing",
386
+ "demoralisation": "demoralization",
387
+ "demoralise": "demoralize",
388
+ "demoralised": "demoralized",
389
+ "demoralises": "demoralizes",
390
+ "demoralising": "demoralizing",
391
+ "denationalisation": "denationalization",
392
+ "denationalise": "denationalize",
393
+ "denationalised": "denationalized",
394
+ "denationalises": "denationalizes",
395
+ "denationalising": "denationalizing",
396
+ "deodorise": "deodorize",
397
+ "deodorised": "deodorized",
398
+ "deodorises": "deodorizes",
399
+ "deodorising": "deodorizing",
400
+ "depersonalise": "depersonalize",
401
+ "depersonalised": "depersonalized",
402
+ "depersonalises": "depersonalizes",
403
+ "depersonalising": "depersonalizing",
404
+ "deputise": "deputize",
405
+ "deputised": "deputized",
406
+ "deputises": "deputizes",
407
+ "deputising": "deputizing",
408
+ "desensitisation": "desensitization",
409
+ "desensitise": "desensitize",
410
+ "desensitised": "desensitized",
411
+ "desensitises": "desensitizes",
412
+ "desensitising": "desensitizing",
413
+ "destabilisation": "destabilization",
414
+ "destabilise": "destabilize",
415
+ "destabilised": "destabilized",
416
+ "destabilises": "destabilizes",
417
+ "destabilising": "destabilizing",
418
+ "dialled": "dialed",
419
+ "dialling": "dialing",
420
+ "dialogue": "dialog",
421
+ "dialogues": "dialogs",
422
+ "diarrhoea": "diarrhea",
423
+ "digitise": "digitize",
424
+ "digitised": "digitized",
425
+ "digitises": "digitizes",
426
+ "digitising": "digitizing",
427
+ "disc": "disk",
428
+ "discolour": "discolor",
429
+ "discoloured": "discolored",
430
+ "discolouring": "discoloring",
431
+ "discolours": "discolors",
432
+ "discs": "disks",
433
+ "disembowelled": "disemboweled",
434
+ "disembowelling": "disemboweling",
435
+ "disfavour": "disfavor",
436
+ "dishevelled": "disheveled",
437
+ "dishonour": "dishonor",
438
+ "dishonourable": "dishonorable",
439
+ "dishonourably": "dishonorably",
440
+ "dishonoured": "dishonored",
441
+ "dishonouring": "dishonoring",
442
+ "dishonours": "dishonors",
443
+ "disorganisation": "disorganization",
444
+ "disorganised": "disorganized",
445
+ "distil": "distill",
446
+ "distils": "distills",
447
+ "dramatisation": "dramatization",
448
+ "dramatisations": "dramatizations",
449
+ "dramatise": "dramatize",
450
+ "dramatised": "dramatized",
451
+ "dramatises": "dramatizes",
452
+ "dramatising": "dramatizing",
453
+ "draught": "draft",
454
+ "draughtboard": "draftboard",
455
+ "draughtboards": "draftboards",
456
+ "draughtier": "draftier",
457
+ "draughtiest": "draftiest",
458
+ "draughts": "drafts",
459
+ "draughtsman": "draftsman",
460
+ "draughtsmanship": "draftsmanship",
461
+ "draughtsmen": "draftsmen",
462
+ "draughtswoman": "draftswoman",
463
+ "draughtswomen": "draftswomen",
464
+ "draughty": "drafty",
465
+ "drivelled": "driveled",
466
+ "drivelling": "driveling",
467
+ "duelled": "dueled",
468
+ "duelling": "dueling",
469
+ "economise": "economize",
470
+ "economised": "economized",
471
+ "economises": "economizes",
472
+ "economising": "economizing",
473
+ "editorialise": "editorialize",
474
+ "editorialised": "editorialized",
475
+ "editorialises": "editorializes",
476
+ "editorialising": "editorializing",
477
+ "edoema": "edema",
478
+ "empathise": "empathize",
479
+ "empathised": "empathized",
480
+ "empathises": "empathizes",
481
+ "empathising": "empathizing",
482
+ "emphasise": "emphasize",
483
+ "emphasised": "emphasized",
484
+ "emphasises": "emphasizes",
485
+ "emphasising": "emphasizing",
486
+ "enamelled": "enameled",
487
+ "enamelling": "enameling",
488
+ "enamoured": "enamored",
489
+ "encyclopaedia": "encyclopedia",
490
+ "encyclopaedias": "encyclopedias",
491
+ "encyclopaedic": "encyclopedic",
492
+ "endeavour": "endeavor",
493
+ "endeavoured": "endeavored",
494
+ "endeavouring": "endeavoring",
495
+ "endeavours": "endeavors",
496
+ "energise": "energize",
497
+ "energised": "energized",
498
+ "energises": "energizes",
499
+ "energising": "energizing",
500
+ "enrol": "enroll",
501
+ "enrols": "enrolls",
502
+ "enthral": "enthrall",
503
+ "enthrals": "enthralls",
504
+ "epaulette": "epaulet",
505
+ "epaulettes": "epaulets",
506
+ "epicentre": "epicenter",
507
+ "epicentres": "epicenters",
508
+ "epilogue": "epilog",
509
+ "epilogues": "epilogs",
510
+ "epitomise": "epitomize",
511
+ "epitomised": "epitomized",
512
+ "epitomises": "epitomizes",
513
+ "epitomising": "epitomizing",
514
+ "equalisation": "equalization",
515
+ "equalise": "equalize",
516
+ "equalised": "equalized",
517
+ "equaliser": "equalizer",
518
+ "equalisers": "equalizers",
519
+ "equalises": "equalizes",
520
+ "equalising": "equalizing",
521
+ "eulogise": "eulogize",
522
+ "eulogised": "eulogized",
523
+ "eulogises": "eulogizes",
524
+ "eulogising": "eulogizing",
525
+ "evangelise": "evangelize",
526
+ "evangelised": "evangelized",
527
+ "evangelises": "evangelizes",
528
+ "evangelising": "evangelizing",
529
+ "exorcise": "exorcize",
530
+ "exorcised": "exorcized",
531
+ "exorcises": "exorcizes",
532
+ "exorcising": "exorcizing",
533
+ "extemporisation": "extemporization",
534
+ "extemporise": "extemporize",
535
+ "extemporised": "extemporized",
536
+ "extemporises": "extemporizes",
537
+ "extemporising": "extemporizing",
538
+ "externalisation": "externalization",
539
+ "externalisations": "externalizations",
540
+ "externalise": "externalize",
541
+ "externalised": "externalized",
542
+ "externalises": "externalizes",
543
+ "externalising": "externalizing",
544
+ "factorise": "factorize",
545
+ "factorised": "factorized",
546
+ "factorises": "factorizes",
547
+ "factorising": "factorizing",
548
+ "faecal": "fecal",
549
+ "faeces": "feces",
550
+ "familiarisation": "familiarization",
551
+ "familiarise": "familiarize",
552
+ "familiarised": "familiarized",
553
+ "familiarises": "familiarizes",
554
+ "familiarising": "familiarizing",
555
+ "fantasise": "fantasize",
556
+ "fantasised": "fantasized",
557
+ "fantasises": "fantasizes",
558
+ "fantasising": "fantasizing",
559
+ "favour": "favor",
560
+ "favourable": "favorable",
561
+ "favourably": "favorably",
562
+ "favoured": "favored",
563
+ "favouring": "favoring",
564
+ "favourite": "favorite",
565
+ "favourites": "favorites",
566
+ "favouritism": "favoritism",
567
+ "favours": "favors",
568
+ "feminise": "feminize",
569
+ "feminised": "feminized",
570
+ "feminises": "feminizes",
571
+ "feminising": "feminizing",
572
+ "fertilisation": "fertilization",
573
+ "fertilise": "fertilize",
574
+ "fertilised": "fertilized",
575
+ "fertiliser": "fertilizer",
576
+ "fertilisers": "fertilizers",
577
+ "fertilises": "fertilizes",
578
+ "fertilising": "fertilizing",
579
+ "fervour": "fervor",
580
+ "fibre": "fiber",
581
+ "fibreglass": "fiberglass",
582
+ "fibres": "fibers",
583
+ "fictionalisation": "fictionalization",
584
+ "fictionalisations": "fictionalizations",
585
+ "fictionalise": "fictionalize",
586
+ "fictionalised": "fictionalized",
587
+ "fictionalises": "fictionalizes",
588
+ "fictionalising": "fictionalizing",
589
+ "fillet": "filet",
590
+ "filleted": "fileted",
591
+ "filleting": "fileting",
592
+ "fillets": "filets",
593
+ "finalisation": "finalization",
594
+ "finalise": "finalize",
595
+ "finalised": "finalized",
596
+ "finalises": "finalizes",
597
+ "finalising": "finalizing",
598
+ "flautist": "flutist",
599
+ "flautists": "flutists",
600
+ "flavour": "flavor",
601
+ "flavoured": "flavored",
602
+ "flavouring": "flavoring",
603
+ "flavourings": "flavorings",
604
+ "flavourless": "flavorless",
605
+ "flavours": "flavors",
606
+ "flavoursome": "flavorsome",
607
+ "flyer / flier": "flier / flyer",
608
+ "foetal": "fetal",
609
+ "foetid": "fetid",
610
+ "foetus": "fetus",
611
+ "foetuses": "fetuses",
612
+ "formalisation": "formalization",
613
+ "formalise": "formalize",
614
+ "formalised": "formalized",
615
+ "formalises": "formalizes",
616
+ "formalising": "formalizing",
617
+ "fossilisation": "fossilization",
618
+ "fossilise": "fossilize",
619
+ "fossilised": "fossilized",
620
+ "fossilises": "fossilizes",
621
+ "fossilising": "fossilizing",
622
+ "fraternisation": "fraternization",
623
+ "fraternise": "fraternize",
624
+ "fraternised": "fraternized",
625
+ "fraternises": "fraternizes",
626
+ "fraternising": "fraternizing",
627
+ "fulfil": "fulfill",
628
+ "fulfilment": "fulfillment",
629
+ "fulfils": "fulfills",
630
+ "funnelled": "funneled",
631
+ "funnelling": "funneling",
632
+ "gage": "gauge",
633
+ "gaged": "gauged",
634
+ "gages": "gauges",
635
+ "gaging": "gauging",
636
+ "galvanise": "galvanize",
637
+ "galvanised": "galvanized",
638
+ "galvanises": "galvanizes",
639
+ "galvanising": "galvanizing",
640
+ "gambolled": "gamboled",
641
+ "gambolling": "gamboling",
642
+ "gaol": "jail",
643
+ "gaolbird": "jailbird",
644
+ "gaolbirds": "jailbirds",
645
+ "gaolbreak": "jailbreak",
646
+ "gaolbreaks": "jailbreaks",
647
+ "gaoled": "jailed",
648
+ "gaoler": "jailer",
649
+ "gaolers": "jailers",
650
+ "gaoling": "jailing",
651
+ "gaols": "jails",
652
+ "gasses": "gases",
653
+ "generalisation": "generalization",
654
+ "generalisations": "generalizations",
655
+ "generalise": "generalize",
656
+ "generalised": "generalized",
657
+ "generalises": "generalizes",
658
+ "generalising": "generalizing",
659
+ "ghettoise": "ghettoize",
660
+ "ghettoised": "ghettoized",
661
+ "ghettoises": "ghettoizes",
662
+ "ghettoising": "ghettoizing",
663
+ "gipsies": "gypsies",
664
+ "glamor": "glamour",
665
+ "glamorise": "glamorize",
666
+ "glamorised": "glamorized",
667
+ "glamorises": "glamorizes",
668
+ "glamorising": "glamorizing",
669
+ "globalisation": "globalization",
670
+ "globalise": "globalize",
671
+ "globalised": "globalized",
672
+ "globalises": "globalizes",
673
+ "globalising": "globalizing",
674
+ "glueing": "gluing",
675
+ "goitre": "goiter",
676
+ "goitres": "goiters",
677
+ "gonorrhoea": "gonorrhea",
678
+ "gramme": "gram",
679
+ "grammes": "grams",
680
+ "gravelled": "graveled",
681
+ "grey": "gray",
682
+ "greyed": "grayed",
683
+ "greying": "graying",
684
+ "greyish": "grayish",
685
+ "greyness": "grayness",
686
+ "greys": "grays",
687
+ "grovelled": "groveled",
688
+ "grovelling": "groveling",
689
+ "groyne": "groin",
690
+ "groynes": "groins",
691
+ "gruelling": "grueling",
692
+ "gruellingly": "gruelingly",
693
+ "gryphon": "griffin",
694
+ "gryphons": "griffins",
695
+ "gynaecological": "gynecological",
696
+ "gynaecologist": "gynecologist",
697
+ "gynaecologists": "gynecologists",
698
+ "gynaecology": "gynecology",
699
+ "haematological": "hematological",
700
+ "haematologist": "hematologist",
701
+ "haematologists": "hematologists",
702
+ "haematology": "hematology",
703
+ "haemoglobin": "hemoglobin",
704
+ "haemophilia": "hemophilia",
705
+ "haemophiliac": "hemophiliac",
706
+ "haemophiliacs": "hemophiliacs",
707
+ "haemorrhage": "hemorrhage",
708
+ "haemorrhaged": "hemorrhaged",
709
+ "haemorrhages": "hemorrhages",
710
+ "haemorrhaging": "hemorrhaging",
711
+ "haemorrhoids": "hemorrhoids",
712
+ "harbour": "harbor",
713
+ "harboured": "harbored",
714
+ "harbouring": "harboring",
715
+ "harbours": "harbors",
716
+ "harmonisation": "harmonization",
717
+ "harmonise": "harmonize",
718
+ "harmonised": "harmonized",
719
+ "harmonises": "harmonizes",
720
+ "harmonising": "harmonizing",
721
+ "homoeopath": "homeopath",
722
+ "homoeopathic": "homeopathic",
723
+ "homoeopaths": "homeopaths",
724
+ "homoeopathy": "homeopathy",
725
+ "homogenise": "homogenize",
726
+ "homogenised": "homogenized",
727
+ "homogenises": "homogenizes",
728
+ "homogenising": "homogenizing",
729
+ "honour": "honor",
730
+ "honourable": "honorable",
731
+ "honourably": "honorably",
732
+ "honoured": "honored",
733
+ "honouring": "honoring",
734
+ "honours": "honors",
735
+ "hospitalisation": "hospitalization",
736
+ "hospitalise": "hospitalize",
737
+ "hospitalised": "hospitalized",
738
+ "hospitalises": "hospitalizes",
739
+ "hospitalising": "hospitalizing",
740
+ "humanise": "humanize",
741
+ "humanised": "humanized",
742
+ "humanises": "humanizes",
743
+ "humanising": "humanizing",
744
+ "humour": "humor",
745
+ "humoured": "humored",
746
+ "humouring": "humoring",
747
+ "humourless": "humorless",
748
+ "humours": "humors",
749
+ "hybridise": "hybridize",
750
+ "hybridised": "hybridized",
751
+ "hybridises": "hybridizes",
752
+ "hybridising": "hybridizing",
753
+ "hypnotise": "hypnotize",
754
+ "hypnotised": "hypnotized",
755
+ "hypnotises": "hypnotizes",
756
+ "hypnotising": "hypnotizing",
757
+ "hypothesise": "hypothesize",
758
+ "hypothesised": "hypothesized",
759
+ "hypothesises": "hypothesizes",
760
+ "hypothesising": "hypothesizing",
761
+ "idealisation": "idealization",
762
+ "idealise": "idealize",
763
+ "idealised": "idealized",
764
+ "idealises": "idealizes",
765
+ "idealising": "idealizing",
766
+ "idolise": "idolize",
767
+ "idolised": "idolized",
768
+ "idolises": "idolizes",
769
+ "idolising": "idolizing",
770
+ "immobilisation": "immobilization",
771
+ "immobilise": "immobilize",
772
+ "immobilised": "immobilized",
773
+ "immobiliser": "immobilizer",
774
+ "immobilisers": "immobilizers",
775
+ "immobilises": "immobilizes",
776
+ "immobilising": "immobilizing",
777
+ "immortalise": "immortalize",
778
+ "immortalised": "immortalized",
779
+ "immortalises": "immortalizes",
780
+ "immortalising": "immortalizing",
781
+ "immunisation": "immunization",
782
+ "immunise": "immunize",
783
+ "immunised": "immunized",
784
+ "immunises": "immunizes",
785
+ "immunising": "immunizing",
786
+ "impanelled": "impaneled",
787
+ "impanelling": "impaneling",
788
+ "imperilled": "imperiled",
789
+ "imperilling": "imperiling",
790
+ "individualise": "individualize",
791
+ "individualised": "individualized",
792
+ "individualises": "individualizes",
793
+ "individualising": "individualizing",
794
+ "industrialise": "industrialize",
795
+ "industrialised": "industrialized",
796
+ "industrialises": "industrializes",
797
+ "industrialising": "industrializing",
798
+ "inflexion": "inflection",
799
+ "inflexions": "inflections",
800
+ "initialise": "initialize",
801
+ "initialised": "initialized",
802
+ "initialises": "initializes",
803
+ "initialising": "initializing",
804
+ "initialled": "initialed",
805
+ "initialling": "initialing",
806
+ "instal": "install",
807
+ "instalment": "installment",
808
+ "instalments": "installments",
809
+ "instals": "installs",
810
+ "instil": "instill",
811
+ "instils": "instills",
812
+ "institutionalisation": "institutionalization",
813
+ "institutionalise": "institutionalize",
814
+ "institutionalised": "institutionalized",
815
+ "institutionalises": "institutionalizes",
816
+ "institutionalising": "institutionalizing",
817
+ "intellectualise": "intellectualize",
818
+ "intellectualised": "intellectualized",
819
+ "intellectualises": "intellectualizes",
820
+ "intellectualising": "intellectualizing",
821
+ "internalisation": "internalization",
822
+ "internalise": "internalize",
823
+ "internalised": "internalized",
824
+ "internalises": "internalizes",
825
+ "internalising": "internalizing",
826
+ "internationalisation": "internationalization",
827
+ "internationalise": "internationalize",
828
+ "internationalised": "internationalized",
829
+ "internationalises": "internationalizes",
830
+ "internationalising": "internationalizing",
831
+ "ionisation": "ionization",
832
+ "ionise": "ionize",
833
+ "ionised": "ionized",
834
+ "ioniser": "ionizer",
835
+ "ionisers": "ionizers",
836
+ "ionises": "ionizes",
837
+ "ionising": "ionizing",
838
+ "italicise": "italicize",
839
+ "italicised": "italicized",
840
+ "italicises": "italicizes",
841
+ "italicising": "italicizing",
842
+ "itemise": "itemize",
843
+ "itemised": "itemized",
844
+ "itemises": "itemizes",
845
+ "itemising": "itemizing",
846
+ "jeopardise": "jeopardize",
847
+ "jeopardised": "jeopardized",
848
+ "jeopardises": "jeopardizes",
849
+ "jeopardising": "jeopardizing",
850
+ "jewelled": "jeweled",
851
+ "jeweller": "jeweler",
852
+ "jewellers": "jewelers",
853
+ "jewellery": "jewelry",
854
+ "judgement": "judgment",
855
+ "kilogramme": "kilogram",
856
+ "kilogrammes": "kilograms",
857
+ "kilometre": "kilometer",
858
+ "kilometres": "kilometers",
859
+ "labelled": "labeled",
860
+ "labelling": "labeling",
861
+ "labour": "labor",
862
+ "laboured": "labored",
863
+ "labourer": "laborer",
864
+ "labourers": "laborers",
865
+ "labouring": "laboring",
866
+ "labours": "labors",
867
+ "lacklustre": "lackluster",
868
+ "legalisation": "legalization",
869
+ "legalise": "legalize",
870
+ "legalised": "legalized",
871
+ "legalises": "legalizes",
872
+ "legalising": "legalizing",
873
+ "legitimise": "legitimize",
874
+ "legitimised": "legitimized",
875
+ "legitimises": "legitimizes",
876
+ "legitimising": "legitimizing",
877
+ "leukaemia": "leukemia",
878
+ "levelled": "leveled",
879
+ "leveller": "leveler",
880
+ "levellers": "levelers",
881
+ "levelling": "leveling",
882
+ "libelled": "libeled",
883
+ "libelling": "libeling",
884
+ "libellous": "libelous",
885
+ "liberalisation": "liberalization",
886
+ "liberalise": "liberalize",
887
+ "liberalised": "liberalized",
888
+ "liberalises": "liberalizes",
889
+ "liberalising": "liberalizing",
890
+ "licence": "license",
891
+ "licenced": "licensed",
892
+ "licences": "licenses",
893
+ "licencing": "licensing",
894
+ "likeable": "likable",
895
+ "lionisation": "lionization",
896
+ "lionise": "lionize",
897
+ "lionised": "lionized",
898
+ "lionises": "lionizes",
899
+ "lionising": "lionizing",
900
+ "liquidise": "liquidize",
901
+ "liquidised": "liquidized",
902
+ "liquidiser": "liquidizer",
903
+ "liquidisers": "liquidizers",
904
+ "liquidises": "liquidizes",
905
+ "liquidising": "liquidizing",
906
+ "litre": "liter",
907
+ "litres": "liters",
908
+ "localise": "localize",
909
+ "localised": "localized",
910
+ "localises": "localizes",
911
+ "localising": "localizing",
912
+ "louvre": "louver",
913
+ "louvred": "louvered",
914
+ "louvres": "louvers",
915
+ "lustre": "luster",
916
+ "magnetise": "magnetize",
917
+ "magnetised": "magnetized",
918
+ "magnetises": "magnetizes",
919
+ "magnetising": "magnetizing",
920
+ "manoeuvrability": "maneuverability",
921
+ "manoeuvrable": "maneuverable",
922
+ "manoeuvre": "maneuver",
923
+ "manoeuvred": "maneuvered",
924
+ "manoeuvres": "maneuvers",
925
+ "manoeuvring": "maneuvering",
926
+ "manoeuvrings": "maneuverings",
927
+ "marginalisation": "marginalization",
928
+ "marginalise": "marginalize",
929
+ "marginalised": "marginalized",
930
+ "marginalises": "marginalizes",
931
+ "marginalising": "marginalizing",
932
+ "marshalled": "marshaled",
933
+ "marshalling": "marshaling",
934
+ "marvelled": "marveled",
935
+ "marvelling": "marveling",
936
+ "marvellous": "marvelous",
937
+ "marvellously": "marvelously",
938
+ "materialisation": "materialization",
939
+ "materialise": "materialize",
940
+ "materialised": "materialized",
941
+ "materialises": "materializes",
942
+ "materialising": "materializing",
943
+ "maximisation": "maximization",
944
+ "maximise": "maximize",
945
+ "maximised": "maximized",
946
+ "maximises": "maximizes",
947
+ "maximising": "maximizing",
948
+ "meagre": "meager",
949
+ "mechanisation": "mechanization",
950
+ "mechanise": "mechanize",
951
+ "mechanised": "mechanized",
952
+ "mechanises": "mechanizes",
953
+ "mechanising": "mechanizing",
954
+ "mediaeval": "medieval",
955
+ "memorialise": "memorialize",
956
+ "memorialised": "memorialized",
957
+ "memorialises": "memorializes",
958
+ "memorialising": "memorializing",
959
+ "memorise": "memorize",
960
+ "memorised": "memorized",
961
+ "memorises": "memorizes",
962
+ "memorising": "memorizing",
963
+ "mesmerise": "mesmerize",
964
+ "mesmerised": "mesmerized",
965
+ "mesmerises": "mesmerizes",
966
+ "mesmerising": "mesmerizing",
967
+ "metabolise": "metabolize",
968
+ "metabolised": "metabolized",
969
+ "metabolises": "metabolizes",
970
+ "metabolising": "metabolizing",
971
+ "metre": "meter",
972
+ "metres": "meters",
973
+ "mhm": "hmm",
974
+ "micrometre": "micrometer",
975
+ "micrometres": "micrometers",
976
+ "militarise": "militarize",
977
+ "militarised": "militarized",
978
+ "militarises": "militarizes",
979
+ "militarising": "militarizing",
980
+ "milligramme": "milligram",
981
+ "milligrammes": "milligrams",
982
+ "millilitre": "milliliter",
983
+ "millilitres": "milliliters",
984
+ "millimetre": "millimeter",
985
+ "millimetres": "millimeters",
986
+ "miniaturisation": "miniaturization",
987
+ "miniaturise": "miniaturize",
988
+ "miniaturised": "miniaturized",
989
+ "miniaturises": "miniaturizes",
990
+ "miniaturising": "miniaturizing",
991
+ "minibusses": "minibuses",
992
+ "minimise": "minimize",
993
+ "minimised": "minimized",
994
+ "minimises": "minimizes",
995
+ "minimising": "minimizing",
996
+ "misbehaviour": "misbehavior",
997
+ "misdemeanour": "misdemeanor",
998
+ "misdemeanours": "misdemeanors",
999
+ "misspelt": "misspelled",
1000
+ "mitre": "miter",
1001
+ "mitres": "miters",
1002
+ "mm": "hmm",
1003
+ "mmm": "hmm",
1004
+ "mobilisation": "mobilization",
1005
+ "mobilise": "mobilize",
1006
+ "mobilised": "mobilized",
1007
+ "mobilises": "mobilizes",
1008
+ "mobilising": "mobilizing",
1009
+ "modelled": "modeled",
1010
+ "modeller": "modeler",
1011
+ "modellers": "modelers",
1012
+ "modelling": "modeling",
1013
+ "modernise": "modernize",
1014
+ "modernised": "modernized",
1015
+ "modernises": "modernizes",
1016
+ "modernising": "modernizing",
1017
+ "moisturise": "moisturize",
1018
+ "moisturised": "moisturized",
1019
+ "moisturiser": "moisturizer",
1020
+ "moisturisers": "moisturizers",
1021
+ "moisturises": "moisturizes",
1022
+ "moisturising": "moisturizing",
1023
+ "monologue": "monolog",
1024
+ "monologues": "monologs",
1025
+ "monopolisation": "monopolization",
1026
+ "monopolise": "monopolize",
1027
+ "monopolised": "monopolized",
1028
+ "monopolises": "monopolizes",
1029
+ "monopolising": "monopolizing",
1030
+ "moralise": "moralize",
1031
+ "moralised": "moralized",
1032
+ "moralises": "moralizes",
1033
+ "moralising": "moralizing",
1034
+ "motorised": "motorized",
1035
+ "mould": "mold",
1036
+ "moulded": "molded",
1037
+ "moulder": "molder",
1038
+ "mouldered": "moldered",
1039
+ "mouldering": "moldering",
1040
+ "moulders": "molders",
1041
+ "mouldier": "moldier",
1042
+ "mouldiest": "moldiest",
1043
+ "moulding": "molding",
1044
+ "mouldings": "moldings",
1045
+ "moulds": "molds",
1046
+ "mouldy": "moldy",
1047
+ "moult": "molt",
1048
+ "moulted": "molted",
1049
+ "moulting": "molting",
1050
+ "moults": "molts",
1051
+ "moustache": "mustache",
1052
+ "moustached": "mustached",
1053
+ "moustaches": "mustaches",
1054
+ "moustachioed": "mustachioed",
1055
+ "multicoloured": "multicolored",
1056
+ "nationalisation": "nationalization",
1057
+ "nationalisations": "nationalizations",
1058
+ "nationalise": "nationalize",
1059
+ "nationalised": "nationalized",
1060
+ "nationalises": "nationalizes",
1061
+ "nationalising": "nationalizing",
1062
+ "naturalisation": "naturalization",
1063
+ "naturalise": "naturalize",
1064
+ "naturalised": "naturalized",
1065
+ "naturalises": "naturalizes",
1066
+ "naturalising": "naturalizing",
1067
+ "neighbour": "neighbor",
1068
+ "neighbourhood": "neighborhood",
1069
+ "neighbourhoods": "neighborhoods",
1070
+ "neighbouring": "neighboring",
1071
+ "neighbourliness": "neighborliness",
1072
+ "neighbourly": "neighborly",
1073
+ "neighbours": "neighbors",
1074
+ "neutralisation": "neutralization",
1075
+ "neutralise": "neutralize",
1076
+ "neutralised": "neutralized",
1077
+ "neutralises": "neutralizes",
1078
+ "neutralising": "neutralizing",
1079
+ "normalisation": "normalization",
1080
+ "normalise": "normalize",
1081
+ "normalised": "normalized",
1082
+ "normalises": "normalizes",
1083
+ "normalising": "normalizing",
1084
+ "odour": "odor",
1085
+ "odourless": "odorless",
1086
+ "odours": "odors",
1087
+ "oesophagus": "esophagus",
1088
+ "oesophaguses": "esophaguses",
1089
+ "oestrogen": "estrogen",
1090
+ "offence": "offense",
1091
+ "offences": "offenses",
1092
+ "omelette": "omelet",
1093
+ "omelettes": "omelets",
1094
+ "optimise": "optimize",
1095
+ "optimised": "optimized",
1096
+ "optimises": "optimizes",
1097
+ "optimising": "optimizing",
1098
+ "organisation": "organization",
1099
+ "organisational": "organizational",
1100
+ "organisations": "organizations",
1101
+ "organise": "organize",
1102
+ "organised": "organized",
1103
+ "organiser": "organizer",
1104
+ "organisers": "organizers",
1105
+ "organises": "organizes",
1106
+ "organising": "organizing",
1107
+ "orthopaedic": "orthopedic",
1108
+ "orthopaedics": "orthopedics",
1109
+ "ostracise": "ostracize",
1110
+ "ostracised": "ostracized",
1111
+ "ostracises": "ostracizes",
1112
+ "ostracising": "ostracizing",
1113
+ "outmanoeuvre": "outmaneuver",
1114
+ "outmanoeuvred": "outmaneuvered",
1115
+ "outmanoeuvres": "outmaneuvers",
1116
+ "outmanoeuvring": "outmaneuvering",
1117
+ "overemphasise": "overemphasize",
1118
+ "overemphasised": "overemphasized",
1119
+ "overemphasises": "overemphasizes",
1120
+ "overemphasising": "overemphasizing",
1121
+ "oxidisation": "oxidization",
1122
+ "oxidise": "oxidize",
1123
+ "oxidised": "oxidized",
1124
+ "oxidises": "oxidizes",
1125
+ "oxidising": "oxidizing",
1126
+ "paederast": "pederast",
1127
+ "paederasts": "pederasts",
1128
+ "paediatric": "pediatric",
1129
+ "paediatrician": "pediatrician",
1130
+ "paediatricians": "pediatricians",
1131
+ "paediatrics": "pediatrics",
1132
+ "paedophile": "pedophile",
1133
+ "paedophiles": "pedophiles",
1134
+ "paedophilia": "pedophilia",
1135
+ "palaeolithic": "paleolithic",
1136
+ "palaeontologist": "paleontologist",
1137
+ "palaeontologists": "paleontologists",
1138
+ "palaeontology": "paleontology",
1139
+ "panelled": "paneled",
1140
+ "panelling": "paneling",
1141
+ "panellist": "panelist",
1142
+ "panellists": "panelists",
1143
+ "paralyse": "paralyze",
1144
+ "paralysed": "paralyzed",
1145
+ "paralyses": "paralyzes",
1146
+ "paralysing": "paralyzing",
1147
+ "parcelled": "parceled",
1148
+ "parcelling": "parceling",
1149
+ "parlour": "parlor",
1150
+ "parlours": "parlors",
1151
+ "particularise": "particularize",
1152
+ "particularised": "particularized",
1153
+ "particularises": "particularizes",
1154
+ "particularising": "particularizing",
1155
+ "passivisation": "passivization",
1156
+ "passivise": "passivize",
1157
+ "passivised": "passivized",
1158
+ "passivises": "passivizes",
1159
+ "passivising": "passivizing",
1160
+ "pasteurisation": "pasteurization",
1161
+ "pasteurise": "pasteurize",
1162
+ "pasteurised": "pasteurized",
1163
+ "pasteurises": "pasteurizes",
1164
+ "pasteurising": "pasteurizing",
1165
+ "patronise": "patronize",
1166
+ "patronised": "patronized",
1167
+ "patronises": "patronizes",
1168
+ "patronising": "patronizing",
1169
+ "patronisingly": "patronizingly",
1170
+ "pedalled": "pedaled",
1171
+ "pedalling": "pedaling",
1172
+ "pedestrianisation": "pedestrianization",
1173
+ "pedestrianise": "pedestrianize",
1174
+ "pedestrianised": "pedestrianized",
1175
+ "pedestrianises": "pedestrianizes",
1176
+ "pedestrianising": "pedestrianizing",
1177
+ "penalise": "penalize",
1178
+ "penalised": "penalized",
1179
+ "penalises": "penalizes",
1180
+ "penalising": "penalizing",
1181
+ "pencilled": "penciled",
1182
+ "pencilling": "penciling",
1183
+ "personalise": "personalize",
1184
+ "personalised": "personalized",
1185
+ "personalises": "personalizes",
1186
+ "personalising": "personalizing",
1187
+ "pharmacopoeia": "pharmacopeia",
1188
+ "pharmacopoeias": "pharmacopeias",
1189
+ "philosophise": "philosophize",
1190
+ "philosophised": "philosophized",
1191
+ "philosophises": "philosophizes",
1192
+ "philosophising": "philosophizing",
1193
+ "philtre": "filter",
1194
+ "philtres": "filters",
1195
+ "phoney": "phony",
1196
+ "plagiarise": "plagiarize",
1197
+ "plagiarised": "plagiarized",
1198
+ "plagiarises": "plagiarizes",
1199
+ "plagiarising": "plagiarizing",
1200
+ "plough": "plow",
1201
+ "ploughed": "plowed",
1202
+ "ploughing": "plowing",
1203
+ "ploughman": "plowman",
1204
+ "ploughmen": "plowmen",
1205
+ "ploughs": "plows",
1206
+ "ploughshare": "plowshare",
1207
+ "ploughshares": "plowshares",
1208
+ "polarisation": "polarization",
1209
+ "polarise": "polarize",
1210
+ "polarised": "polarized",
1211
+ "polarises": "polarizes",
1212
+ "polarising": "polarizing",
1213
+ "politicisation": "politicization",
1214
+ "politicise": "politicize",
1215
+ "politicised": "politicized",
1216
+ "politicises": "politicizes",
1217
+ "politicising": "politicizing",
1218
+ "popularisation": "popularization",
1219
+ "popularise": "popularize",
1220
+ "popularised": "popularized",
1221
+ "popularises": "popularizes",
1222
+ "popularising": "popularizing",
1223
+ "pouffe": "pouf",
1224
+ "pouffes": "poufs",
1225
+ "practise": "practice",
1226
+ "practised": "practiced",
1227
+ "practises": "practices",
1228
+ "practising": "practicing",
1229
+ "praesidium": "presidium",
1230
+ "praesidiums": "presidiums",
1231
+ "pressurisation": "pressurization",
1232
+ "pressurise": "pressurize",
1233
+ "pressurised": "pressurized",
1234
+ "pressurises": "pressurizes",
1235
+ "pressurising": "pressurizing",
1236
+ "pretence": "pretense",
1237
+ "pretences": "pretenses",
1238
+ "primaeval": "primeval",
1239
+ "prioritisation": "prioritization",
1240
+ "prioritise": "prioritize",
1241
+ "prioritised": "prioritized",
1242
+ "prioritises": "prioritizes",
1243
+ "prioritising": "prioritizing",
1244
+ "privatisation": "privatization",
1245
+ "privatisations": "privatizations",
1246
+ "privatise": "privatize",
1247
+ "privatised": "privatized",
1248
+ "privatises": "privatizes",
1249
+ "privatising": "privatizing",
1250
+ "professionalisation": "professionalization",
1251
+ "professionalise": "professionalize",
1252
+ "professionalised": "professionalized",
1253
+ "professionalises": "professionalizes",
1254
+ "professionalising": "professionalizing",
1255
+ "programme": "program",
1256
+ "programmes": "programs",
1257
+ "prologue": "prolog",
1258
+ "prologues": "prologs",
1259
+ "propagandise": "propagandize",
1260
+ "propagandised": "propagandized",
1261
+ "propagandises": "propagandizes",
1262
+ "propagandising": "propagandizing",
1263
+ "proselytise": "proselytize",
1264
+ "proselytised": "proselytized",
1265
+ "proselytiser": "proselytizer",
1266
+ "proselytisers": "proselytizers",
1267
+ "proselytises": "proselytizes",
1268
+ "proselytising": "proselytizing",
1269
+ "psychoanalyse": "psychoanalyze",
1270
+ "psychoanalysed": "psychoanalyzed",
1271
+ "psychoanalyses": "psychoanalyzes",
1272
+ "psychoanalysing": "psychoanalyzing",
1273
+ "publicise": "publicize",
1274
+ "publicised": "publicized",
1275
+ "publicises": "publicizes",
1276
+ "publicising": "publicizing",
1277
+ "pulverisation": "pulverization",
1278
+ "pulverise": "pulverize",
1279
+ "pulverised": "pulverized",
1280
+ "pulverises": "pulverizes",
1281
+ "pulverising": "pulverizing",
1282
+ "pummelled": "pummel",
1283
+ "pummelling": "pummeled",
1284
+ "pyjama": "pajama",
1285
+ "pyjamas": "pajamas",
1286
+ "pzazz": "pizzazz",
1287
+ "quarrelled": "quarreled",
1288
+ "quarrelling": "quarreling",
1289
+ "radicalise": "radicalize",
1290
+ "radicalised": "radicalized",
1291
+ "radicalises": "radicalizes",
1292
+ "radicalising": "radicalizing",
1293
+ "rancour": "rancor",
1294
+ "randomise": "randomize",
1295
+ "randomised": "randomized",
1296
+ "randomises": "randomizes",
1297
+ "randomising": "randomizing",
1298
+ "rationalisation": "rationalization",
1299
+ "rationalisations": "rationalizations",
1300
+ "rationalise": "rationalize",
1301
+ "rationalised": "rationalized",
1302
+ "rationalises": "rationalizes",
1303
+ "rationalising": "rationalizing",
1304
+ "ravelled": "raveled",
1305
+ "ravelling": "raveling",
1306
+ "realisable": "realizable",
1307
+ "realisation": "realization",
1308
+ "realisations": "realizations",
1309
+ "realise": "realize",
1310
+ "realised": "realized",
1311
+ "realises": "realizes",
1312
+ "realising": "realizing",
1313
+ "recognisable": "recognizable",
1314
+ "recognisably": "recognizably",
1315
+ "recognisance": "recognizance",
1316
+ "recognise": "recognize",
1317
+ "recognised": "recognized",
1318
+ "recognises": "recognizes",
1319
+ "recognising": "recognizing",
1320
+ "reconnoitre": "reconnoiter",
1321
+ "reconnoitred": "reconnoitered",
1322
+ "reconnoitres": "reconnoiters",
1323
+ "reconnoitring": "reconnoitering",
1324
+ "refuelled": "refueled",
1325
+ "refuelling": "refueling",
1326
+ "regularisation": "regularization",
1327
+ "regularise": "regularize",
1328
+ "regularised": "regularized",
1329
+ "regularises": "regularizes",
1330
+ "regularising": "regularizing",
1331
+ "remodelled": "remodeled",
1332
+ "remodelling": "remodeling",
1333
+ "remould": "remold",
1334
+ "remoulded": "remolded",
1335
+ "remoulding": "remolding",
1336
+ "remoulds": "remolds",
1337
+ "reorganisation": "reorganization",
1338
+ "reorganisations": "reorganizations",
1339
+ "reorganise": "reorganize",
1340
+ "reorganised": "reorganized",
1341
+ "reorganises": "reorganizes",
1342
+ "reorganising": "reorganizing",
1343
+ "revelled": "reveled",
1344
+ "reveller": "reveler",
1345
+ "revellers": "revelers",
1346
+ "revelling": "reveling",
1347
+ "revitalise": "revitalize",
1348
+ "revitalised": "revitalized",
1349
+ "revitalises": "revitalizes",
1350
+ "revitalising": "revitalizing",
1351
+ "revolutionise": "revolutionize",
1352
+ "revolutionised": "revolutionized",
1353
+ "revolutionises": "revolutionizes",
1354
+ "revolutionising": "revolutionizing",
1355
+ "rhapsodise": "rhapsodize",
1356
+ "rhapsodised": "rhapsodized",
1357
+ "rhapsodises": "rhapsodizes",
1358
+ "rhapsodising": "rhapsodizing",
1359
+ "rigour": "rigor",
1360
+ "rigours": "rigors",
1361
+ "ritualised": "ritualized",
1362
+ "rivalled": "rivaled",
1363
+ "rivalling": "rivaling",
1364
+ "romanticise": "romanticize",
1365
+ "romanticised": "romanticized",
1366
+ "romanticises": "romanticizes",
1367
+ "romanticising": "romanticizing",
1368
+ "rumour": "rumor",
1369
+ "rumoured": "rumored",
1370
+ "rumours": "rumors",
1371
+ "sabre": "saber",
1372
+ "sabres": "sabers",
1373
+ "saltpetre": "saltpeter",
1374
+ "sanitise": "sanitize",
1375
+ "sanitised": "sanitized",
1376
+ "sanitises": "sanitizes",
1377
+ "sanitising": "sanitizing",
1378
+ "satirise": "satirize",
1379
+ "satirised": "satirized",
1380
+ "satirises": "satirizes",
1381
+ "satirising": "satirizing",
1382
+ "saviour": "savior",
1383
+ "saviours": "saviors",
1384
+ "savour": "savor",
1385
+ "savoured": "savored",
1386
+ "savouries": "savories",
1387
+ "savouring": "savoring",
1388
+ "savours": "savors",
1389
+ "savoury": "savory",
1390
+ "scandalise": "scandalize",
1391
+ "scandalised": "scandalized",
1392
+ "scandalises": "scandalizes",
1393
+ "scandalising": "scandalizing",
1394
+ "sceptic": "skeptic",
1395
+ "sceptical": "skeptical",
1396
+ "sceptically": "skeptically",
1397
+ "scepticism": "skepticism",
1398
+ "sceptics": "skeptics",
1399
+ "sceptre": "scepter",
1400
+ "sceptres": "scepters",
1401
+ "scrutinise": "scrutinize",
1402
+ "scrutinised": "scrutinized",
1403
+ "scrutinises": "scrutinizes",
1404
+ "scrutinising": "scrutinizing",
1405
+ "secularisation": "secularization",
1406
+ "secularise": "secularize",
1407
+ "secularised": "secularized",
1408
+ "secularises": "secularizes",
1409
+ "secularising": "secularizing",
1410
+ "sensationalise": "sensationalize",
1411
+ "sensationalised": "sensationalized",
1412
+ "sensationalises": "sensationalizes",
1413
+ "sensationalising": "sensationalizing",
1414
+ "sensitise": "sensitize",
1415
+ "sensitised": "sensitized",
1416
+ "sensitises": "sensitizes",
1417
+ "sensitising": "sensitizing",
1418
+ "sentimentalise": "sentimentalize",
1419
+ "sentimentalised": "sentimentalized",
1420
+ "sentimentalises": "sentimentalizes",
1421
+ "sentimentalising": "sentimentalizing",
1422
+ "sepulchre": "sepulcher",
1423
+ "sepulchres": "sepulchers",
1424
+ "serialisation": "serialization",
1425
+ "serialisations": "serializations",
1426
+ "serialise": "serialize",
1427
+ "serialised": "serialized",
1428
+ "serialises": "serializes",
1429
+ "serialising": "serializing",
1430
+ "sermonise": "sermonize",
1431
+ "sermonised": "sermonized",
1432
+ "sermonises": "sermonizes",
1433
+ "sermonising": "sermonizing",
1434
+ "sheikh": "sheik",
1435
+ "shovelled": "shoveled",
1436
+ "shovelling": "shoveling",
1437
+ "shrivelled": "shriveled",
1438
+ "shrivelling": "shriveling",
1439
+ "signalise": "signalize",
1440
+ "signalised": "signalized",
1441
+ "signalises": "signalizes",
1442
+ "signalising": "signalizing",
1443
+ "signalled": "signaled",
1444
+ "signalling": "signaling",
1445
+ "smoulder": "smolder",
1446
+ "smouldered": "smoldered",
1447
+ "smouldering": "smoldering",
1448
+ "smoulders": "smolders",
1449
+ "snivelled": "sniveled",
1450
+ "snivelling": "sniveling",
1451
+ "snorkelled": "snorkeled",
1452
+ "snorkelling": "snorkeling",
1453
+ "snowplough": "snowplow",
1454
+ "snowploughs": "snowplow",
1455
+ "socialisation": "socialization",
1456
+ "socialise": "socialize",
1457
+ "socialised": "socialized",
1458
+ "socialises": "socializes",
1459
+ "socialising": "socializing",
1460
+ "sodomise": "sodomize",
1461
+ "sodomised": "sodomized",
1462
+ "sodomises": "sodomizes",
1463
+ "sodomising": "sodomizing",
1464
+ "solemnise": "solemnize",
1465
+ "solemnised": "solemnized",
1466
+ "solemnises": "solemnizes",
1467
+ "solemnising": "solemnizing",
1468
+ "sombre": "somber",
1469
+ "specialisation": "specialization",
1470
+ "specialisations": "specializations",
1471
+ "specialise": "specialize",
1472
+ "specialised": "specialized",
1473
+ "specialises": "specializes",
1474
+ "specialising": "specializing",
1475
+ "spectre": "specter",
1476
+ "spectres": "specters",
1477
+ "spiralled": "spiraled",
1478
+ "spiralling": "spiraling",
1479
+ "splendour": "splendor",
1480
+ "splendours": "splendors",
1481
+ "squirrelled": "squirreled",
1482
+ "squirrelling": "squirreling",
1483
+ "stabilisation": "stabilization",
1484
+ "stabilise": "stabilize",
1485
+ "stabilised": "stabilized",
1486
+ "stabiliser": "stabilizer",
1487
+ "stabilisers": "stabilizers",
1488
+ "stabilises": "stabilizes",
1489
+ "stabilising": "stabilizing",
1490
+ "standardisation": "standardization",
1491
+ "standardise": "standardize",
1492
+ "standardised": "standardized",
1493
+ "standardises": "standardizes",
1494
+ "standardising": "standardizing",
1495
+ "stencilled": "stenciled",
1496
+ "stencilling": "stenciling",
1497
+ "sterilisation": "sterilization",
1498
+ "sterilisations": "sterilizations",
1499
+ "sterilise": "sterilize",
1500
+ "sterilised": "sterilized",
1501
+ "steriliser": "sterilizer",
1502
+ "sterilisers": "sterilizers",
1503
+ "sterilises": "sterilizes",
1504
+ "sterilising": "sterilizing",
1505
+ "stigmatisation": "stigmatization",
1506
+ "stigmatise": "stigmatize",
1507
+ "stigmatised": "stigmatized",
1508
+ "stigmatises": "stigmatizes",
1509
+ "stigmatising": "stigmatizing",
1510
+ "storey": "story",
1511
+ "storeys": "stories",
1512
+ "subsidisation": "subsidization",
1513
+ "subsidise": "subsidize",
1514
+ "subsidised": "subsidized",
1515
+ "subsidiser": "subsidizer",
1516
+ "subsidisers": "subsidizers",
1517
+ "subsidises": "subsidizes",
1518
+ "subsidising": "subsidizing",
1519
+ "succour": "succor",
1520
+ "succoured": "succored",
1521
+ "succouring": "succoring",
1522
+ "succours": "succors",
1523
+ "sulphate": "sulfate",
1524
+ "sulphates": "sulfates",
1525
+ "sulphide": "sulfide",
1526
+ "sulphides": "sulfides",
1527
+ "sulphur": "sulfur",
1528
+ "sulphurous": "sulfurous",
1529
+ "summarise": "summarize",
1530
+ "summarised": "summarized",
1531
+ "summarises": "summarizes",
1532
+ "summarising": "summarizing",
1533
+ "swivelled": "swiveled",
1534
+ "swivelling": "swiveling",
1535
+ "symbolise": "symbolize",
1536
+ "symbolised": "symbolized",
1537
+ "symbolises": "symbolizes",
1538
+ "symbolising": "symbolizing",
1539
+ "sympathise": "sympathize",
1540
+ "sympathised": "sympathized",
1541
+ "sympathiser": "sympathizer",
1542
+ "sympathisers": "sympathizers",
1543
+ "sympathises": "sympathizes",
1544
+ "sympathising": "sympathizing",
1545
+ "synchronisation": "synchronization",
1546
+ "synchronise": "synchronize",
1547
+ "synchronised": "synchronized",
1548
+ "synchronises": "synchronizes",
1549
+ "synchronising": "synchronizing",
1550
+ "synthesise": "synthesize",
1551
+ "synthesised": "synthesized",
1552
+ "synthesiser": "synthesizer",
1553
+ "synthesisers": "synthesizers",
1554
+ "synthesises": "synthesizes",
1555
+ "synthesising": "synthesizing",
1556
+ "syphon": "siphon",
1557
+ "syphoned": "siphoned",
1558
+ "syphoning": "siphoning",
1559
+ "syphons": "siphons",
1560
+ "systematisation": "systematization",
1561
+ "systematise": "systematize",
1562
+ "systematised": "systematized",
1563
+ "systematises": "systematizes",
1564
+ "systematising": "systematizing",
1565
+ "tantalise": "tantalize",
1566
+ "tantalised": "tantalized",
1567
+ "tantalises": "tantalizes",
1568
+ "tantalising": "tantalizing",
1569
+ "tantalisingly": "tantalizingly",
1570
+ "tasselled": "tasseled",
1571
+ "technicolour": "technicolor",
1572
+ "temporise": "temporize",
1573
+ "temporised": "temporized",
1574
+ "temporises": "temporizes",
1575
+ "temporising": "temporizing",
1576
+ "tenderise": "tenderize",
1577
+ "tenderised": "tenderized",
1578
+ "tenderises": "tenderizes",
1579
+ "tenderising": "tenderizing",
1580
+ "terrorise": "terrorize",
1581
+ "terrorised": "terrorized",
1582
+ "terrorises": "terrorizes",
1583
+ "terrorising": "terrorizing",
1584
+ "theatre": "theater",
1585
+ "theatregoer": "theatergoer",
1586
+ "theatregoers": "theatergoers",
1587
+ "theatres": "theaters",
1588
+ "theorise": "theorize",
1589
+ "theorised": "theorized",
1590
+ "theorises": "theorizes",
1591
+ "theorising": "theorizing",
1592
+ "tonne": "ton",
1593
+ "tonnes": "tons",
1594
+ "towelled": "toweled",
1595
+ "towelling": "toweling",
1596
+ "toxaemia": "toxemia",
1597
+ "tranquillise": "tranquilize",
1598
+ "tranquillised": "tranquilized",
1599
+ "tranquilliser": "tranquilizer",
1600
+ "tranquillisers": "tranquilizers",
1601
+ "tranquillises": "tranquilizes",
1602
+ "tranquillising": "tranquilizing",
1603
+ "tranquillity": "tranquility",
1604
+ "tranquillize": "tranquilize",
1605
+ "tranquillized": "tranquilized",
1606
+ "tranquillizer": "tranquilizer",
1607
+ "tranquillizers": "tranquilizers",
1608
+ "tranquillizes": "tranquilizes",
1609
+ "tranquillizing": "tranquilizing",
1610
+ "tranquilly": "tranquility",
1611
+ "transistorised": "transistorized",
1612
+ "traumatise": "traumatize",
1613
+ "traumatised": "traumatized",
1614
+ "traumatises": "traumatizes",
1615
+ "traumatising": "traumatizing",
1616
+ "travelled": "traveled",
1617
+ "traveller": "traveler",
1618
+ "travellers": "travelers",
1619
+ "travelling": "traveling",
1620
+ "travelog": "travelogue",
1621
+ "travelogs": "travelogues",
1622
+ "trialled": "trialed",
1623
+ "trialling": "trialing",
1624
+ "tricolour": "tricolor",
1625
+ "tricolours": "tricolors",
1626
+ "trivialise": "trivialize",
1627
+ "trivialised": "trivialized",
1628
+ "trivialises": "trivializes",
1629
+ "trivialising": "trivializing",
1630
+ "tumour": "tumor",
1631
+ "tumours": "tumors",
1632
+ "tunnelled": "tunneled",
1633
+ "tunnelling": "tunneling",
1634
+ "tyrannise": "tyrannize",
1635
+ "tyrannised": "tyrannized",
1636
+ "tyrannises": "tyrannizes",
1637
+ "tyrannising": "tyrannizing",
1638
+ "tyre": "tire",
1639
+ "tyres": "tires",
1640
+ "unauthorised": "unauthorized",
1641
+ "uncivilised": "uncivilized",
1642
+ "underutilised": "underutilized",
1643
+ "unequalled": "unequaled",
1644
+ "unfavourable": "unfavorable",
1645
+ "unfavourably": "unfavorably",
1646
+ "unionisation": "unionization",
1647
+ "unionise": "unionize",
1648
+ "unionised": "unionized",
1649
+ "unionises": "unionizes",
1650
+ "unionising": "unionizing",
1651
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1652
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1653
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1654
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1655
+ "unrecognised": "unrecognized",
1656
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1657
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1658
+ "untrammelled": "untrammeled",
1659
+ "urbanisation": "urbanization",
1660
+ "urbanise": "urbanize",
1661
+ "urbanised": "urbanized",
1662
+ "urbanises": "urbanizes",
1663
+ "urbanising": "urbanizing",
1664
+ "utilisable": "utilizable",
1665
+ "utilisation": "utilization",
1666
+ "utilise": "utilize",
1667
+ "utilised": "utilized",
1668
+ "utilises": "utilizes",
1669
+ "utilising": "utilizing",
1670
+ "valour": "valor",
1671
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1672
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1673
+ "vandalises": "vandalizes",
1674
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1675
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1676
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1677
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1678
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1679
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1680
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1681
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1682
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1683
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1684
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1685
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1686
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1687
+ "victimise": "victimize",
1688
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1689
+ "victimises": "victimizes",
1690
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1691
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1692
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1693
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1694
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1695
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1696
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1697
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1699
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1700
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1701
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1702
+ "vocalise": "vocalize",
1703
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1704
+ "vocalises": "vocalizes",
1705
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1706
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+ "vulgarise": "vulgarize",
1709
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1710
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1711
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1713
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1714
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1715
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1717
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1718
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1719
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1720
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1721
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1722
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1724
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1725
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1726
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1727
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1728
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1730
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1731
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1732
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1733
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1734
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1735
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1736
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1737
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1738
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1739
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1740
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1741
+ "yoghurts": "yogurts"
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