adammandic87 commited on
Commit
07d7178
·
verified ·
1 Parent(s): fcbdb4c

Training in progress, step 100, checkpoint

Browse files
last-checkpoint/adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d2c01275459984a82e9dfafe4753a784fbaf0426b0c519eca1ec4516c7f91979
3
  size 124756544
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:540b43c27ce9d45f67e5362b6b4cfcbb10e6586ca874fac5db3612514de201fd
3
  size 124756544
last-checkpoint/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0aacc9ff6423423e535414638fd45f2d5bdd42d5ff95bc4747bc913ce9416b48
3
  size 63958740
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:58a8f70b234248e16553fb2e2efbdc0c248b9900aa542270ae5d7046f520e5b3
3
  size 63958740
last-checkpoint/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:dd39f14a34d17dd9cfff5b133e69e01ced23e7c74bfc2f193329705dd8581795
3
  size 14244
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1587726aec1f75f737018a73e7de2d0d5713390c50e5b1386177a35ec2977d5a
3
  size 14244
last-checkpoint/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a9e02dc10b7239989ab9b4418ee704e53fad611ad6b77ad633028bb8eb5238dd
3
  size 1064
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3fc7800513a1b4dd006c457152c700dd768bb49ee4ed8e4d9665a4e42095b054
3
  size 1064
last-checkpoint/trainer_state.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
- "epoch": 0.010915838882218098,
5
  "eval_steps": 50,
6
- "global_step": 50,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
@@ -373,6 +373,364 @@
373
  "eval_samples_per_second": 10.602,
374
  "eval_steps_per_second": 5.304,
375
  "step": 50
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
376
  }
377
  ],
378
  "logging_steps": 1,
@@ -392,7 +750,7 @@
392
  "attributes": {}
393
  }
394
  },
395
- "total_flos": 3.273337542279168e+16,
396
  "train_batch_size": 2,
397
  "trial_name": null,
398
  "trial_params": null
 
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
+ "epoch": 0.021831677764436196,
5
  "eval_steps": 50,
6
+ "global_step": 100,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
 
373
  "eval_samples_per_second": 10.602,
374
  "eval_steps_per_second": 5.304,
375
  "step": 50
376
+ },
377
+ {
378
+ "epoch": 0.011134155659862461,
379
+ "grad_norm": 0.16260926425457,
380
+ "learning_rate": 0.00017788772787621126,
381
+ "loss": 0.6544,
382
+ "step": 51
383
+ },
384
+ {
385
+ "epoch": 0.011352472437506823,
386
+ "grad_norm": 0.16436129808425903,
387
+ "learning_rate": 0.00017684011108568592,
388
+ "loss": 0.5796,
389
+ "step": 52
390
+ },
391
+ {
392
+ "epoch": 0.011570789215151185,
393
+ "grad_norm": 0.15874071419239044,
394
+ "learning_rate": 0.0001757714869760335,
395
+ "loss": 0.6229,
396
+ "step": 53
397
+ },
398
+ {
399
+ "epoch": 0.011789105992795547,
400
+ "grad_norm": 0.17372044920921326,
401
+ "learning_rate": 0.0001746821476984154,
402
+ "loss": 0.8861,
403
+ "step": 54
404
+ },
405
+ {
406
+ "epoch": 0.012007422770439908,
407
+ "grad_norm": 0.190564826130867,
408
+ "learning_rate": 0.00017357239106731317,
409
+ "loss": 0.779,
410
+ "step": 55
411
+ },
412
+ {
413
+ "epoch": 0.01222573954808427,
414
+ "grad_norm": 0.17491184175014496,
415
+ "learning_rate": 0.00017244252047910892,
416
+ "loss": 0.528,
417
+ "step": 56
418
+ },
419
+ {
420
+ "epoch": 0.012444056325728632,
421
+ "grad_norm": 0.1566992700099945,
422
+ "learning_rate": 0.00017129284482913972,
423
+ "loss": 0.5963,
424
+ "step": 57
425
+ },
426
+ {
427
+ "epoch": 0.012662373103372994,
428
+ "grad_norm": 0.15744012594223022,
429
+ "learning_rate": 0.00017012367842724887,
430
+ "loss": 0.5224,
431
+ "step": 58
432
+ },
433
+ {
434
+ "epoch": 0.012880689881017357,
435
+ "grad_norm": 0.1761963814496994,
436
+ "learning_rate": 0.0001689353409118566,
437
+ "loss": 0.8546,
438
+ "step": 59
439
+ },
440
+ {
441
+ "epoch": 0.013099006658661719,
442
+ "grad_norm": 0.16946905851364136,
443
+ "learning_rate": 0.00016772815716257412,
444
+ "loss": 0.7221,
445
+ "step": 60
446
+ },
447
+ {
448
+ "epoch": 0.01331732343630608,
449
+ "grad_norm": 0.17242185771465302,
450
+ "learning_rate": 0.0001665024572113848,
451
+ "loss": 0.7315,
452
+ "step": 61
453
+ },
454
+ {
455
+ "epoch": 0.013535640213950442,
456
+ "grad_norm": 0.14320792257785797,
457
+ "learning_rate": 0.00016525857615241687,
458
+ "loss": 0.5442,
459
+ "step": 62
460
+ },
461
+ {
462
+ "epoch": 0.013753956991594804,
463
+ "grad_norm": 0.14897648990154266,
464
+ "learning_rate": 0.00016399685405033167,
465
+ "loss": 0.6125,
466
+ "step": 63
467
+ },
468
+ {
469
+ "epoch": 0.013972273769239166,
470
+ "grad_norm": 0.16310685873031616,
471
+ "learning_rate": 0.0001627176358473537,
472
+ "loss": 0.6272,
473
+ "step": 64
474
+ },
475
+ {
476
+ "epoch": 0.014190590546883528,
477
+ "grad_norm": 0.15317314863204956,
478
+ "learning_rate": 0.0001614212712689668,
479
+ "loss": 0.5583,
480
+ "step": 65
481
+ },
482
+ {
483
+ "epoch": 0.01440890732452789,
484
+ "grad_norm": 0.15903247892856598,
485
+ "learning_rate": 0.00016010811472830252,
486
+ "loss": 0.5744,
487
+ "step": 66
488
+ },
489
+ {
490
+ "epoch": 0.014627224102172253,
491
+ "grad_norm": 0.14471517503261566,
492
+ "learning_rate": 0.00015877852522924732,
493
+ "loss": 0.4967,
494
+ "step": 67
495
+ },
496
+ {
497
+ "epoch": 0.014845540879816614,
498
+ "grad_norm": 0.1645640879869461,
499
+ "learning_rate": 0.00015743286626829437,
500
+ "loss": 0.8364,
501
+ "step": 68
502
+ },
503
+ {
504
+ "epoch": 0.015063857657460976,
505
+ "grad_norm": 0.2042667418718338,
506
+ "learning_rate": 0.0001560715057351673,
507
+ "loss": 0.5209,
508
+ "step": 69
509
+ },
510
+ {
511
+ "epoch": 0.015282174435105338,
512
+ "grad_norm": 0.18461734056472778,
513
+ "learning_rate": 0.00015469481581224272,
514
+ "loss": 0.8209,
515
+ "step": 70
516
+ },
517
+ {
518
+ "epoch": 0.0155004912127497,
519
+ "grad_norm": 0.17951343953609467,
520
+ "learning_rate": 0.0001533031728727994,
521
+ "loss": 0.7302,
522
+ "step": 71
523
+ },
524
+ {
525
+ "epoch": 0.015718807990394063,
526
+ "grad_norm": 0.17561626434326172,
527
+ "learning_rate": 0.00015189695737812152,
528
+ "loss": 0.7459,
529
+ "step": 72
530
+ },
531
+ {
532
+ "epoch": 0.015937124768038425,
533
+ "grad_norm": 0.17738279700279236,
534
+ "learning_rate": 0.0001504765537734844,
535
+ "loss": 0.7624,
536
+ "step": 73
537
+ },
538
+ {
539
+ "epoch": 0.016155441545682787,
540
+ "grad_norm": 0.14604610204696655,
541
+ "learning_rate": 0.00014904235038305083,
542
+ "loss": 0.5576,
543
+ "step": 74
544
+ },
545
+ {
546
+ "epoch": 0.01637375832332715,
547
+ "grad_norm": 0.162835031747818,
548
+ "learning_rate": 0.00014759473930370736,
549
+ "loss": 0.6048,
550
+ "step": 75
551
+ },
552
+ {
553
+ "epoch": 0.01659207510097151,
554
+ "grad_norm": 0.16418945789337158,
555
+ "learning_rate": 0.0001461341162978688,
556
+ "loss": 0.5769,
557
+ "step": 76
558
+ },
559
+ {
560
+ "epoch": 0.016810391878615872,
561
+ "grad_norm": 0.19126634299755096,
562
+ "learning_rate": 0.00014466088068528068,
563
+ "loss": 0.7973,
564
+ "step": 77
565
+ },
566
+ {
567
+ "epoch": 0.017028708656260234,
568
+ "grad_norm": 0.1636025458574295,
569
+ "learning_rate": 0.00014317543523384928,
570
+ "loss": 0.6992,
571
+ "step": 78
572
+ },
573
+ {
574
+ "epoch": 0.017247025433904595,
575
+ "grad_norm": 0.1639864444732666,
576
+ "learning_rate": 0.00014167818604952906,
577
+ "loss": 0.6315,
578
+ "step": 79
579
+ },
580
+ {
581
+ "epoch": 0.017465342211548957,
582
+ "grad_norm": 0.20205020904541016,
583
+ "learning_rate": 0.00014016954246529696,
584
+ "loss": 1.0668,
585
+ "step": 80
586
+ },
587
+ {
588
+ "epoch": 0.01768365898919332,
589
+ "grad_norm": 0.16580188274383545,
590
+ "learning_rate": 0.00013864991692924523,
591
+ "loss": 0.7294,
592
+ "step": 81
593
+ },
594
+ {
595
+ "epoch": 0.01790197576683768,
596
+ "grad_norm": 0.17587777972221375,
597
+ "learning_rate": 0.00013711972489182208,
598
+ "loss": 0.6971,
599
+ "step": 82
600
+ },
601
+ {
602
+ "epoch": 0.018120292544482042,
603
+ "grad_norm": 0.18422681093215942,
604
+ "learning_rate": 0.00013557938469225167,
605
+ "loss": 0.7526,
606
+ "step": 83
607
+ },
608
+ {
609
+ "epoch": 0.018338609322126404,
610
+ "grad_norm": 0.16445504128932953,
611
+ "learning_rate": 0.00013402931744416433,
612
+ "loss": 0.6736,
613
+ "step": 84
614
+ },
615
+ {
616
+ "epoch": 0.018556926099770766,
617
+ "grad_norm": 0.14754797518253326,
618
+ "learning_rate": 0.00013246994692046836,
619
+ "loss": 0.4737,
620
+ "step": 85
621
+ },
622
+ {
623
+ "epoch": 0.018775242877415128,
624
+ "grad_norm": 0.19895146787166595,
625
+ "learning_rate": 0.00013090169943749476,
626
+ "loss": 0.7198,
627
+ "step": 86
628
+ },
629
+ {
630
+ "epoch": 0.018993559655059493,
631
+ "grad_norm": 0.16792307794094086,
632
+ "learning_rate": 0.0001293250037384465,
633
+ "loss": 0.7405,
634
+ "step": 87
635
+ },
636
+ {
637
+ "epoch": 0.019211876432703855,
638
+ "grad_norm": 0.1736898571252823,
639
+ "learning_rate": 0.00012774029087618446,
640
+ "loss": 0.6991,
641
+ "step": 88
642
+ },
643
+ {
644
+ "epoch": 0.019430193210348216,
645
+ "grad_norm": 0.19027847051620483,
646
+ "learning_rate": 0.00012614799409538198,
647
+ "loss": 0.8642,
648
+ "step": 89
649
+ },
650
+ {
651
+ "epoch": 0.019648509987992578,
652
+ "grad_norm": 0.16890498995780945,
653
+ "learning_rate": 0.00012454854871407994,
654
+ "loss": 0.5199,
655
+ "step": 90
656
+ },
657
+ {
658
+ "epoch": 0.01986682676563694,
659
+ "grad_norm": 0.17198000848293304,
660
+ "learning_rate": 0.00012294239200467516,
661
+ "loss": 0.6932,
662
+ "step": 91
663
+ },
664
+ {
665
+ "epoch": 0.0200851435432813,
666
+ "grad_norm": 0.17940305173397064,
667
+ "learning_rate": 0.0001213299630743747,
668
+ "loss": 0.5811,
669
+ "step": 92
670
+ },
671
+ {
672
+ "epoch": 0.020303460320925663,
673
+ "grad_norm": 0.17034873366355896,
674
+ "learning_rate": 0.00011971170274514802,
675
+ "loss": 0.6274,
676
+ "step": 93
677
+ },
678
+ {
679
+ "epoch": 0.020521777098570025,
680
+ "grad_norm": 0.17157679796218872,
681
+ "learning_rate": 0.000118088053433211,
682
+ "loss": 0.6947,
683
+ "step": 94
684
+ },
685
+ {
686
+ "epoch": 0.020740093876214387,
687
+ "grad_norm": 0.18038637936115265,
688
+ "learning_rate": 0.00011645945902807341,
689
+ "loss": 0.6019,
690
+ "step": 95
691
+ },
692
+ {
693
+ "epoch": 0.02095841065385875,
694
+ "grad_norm": 0.16414083540439606,
695
+ "learning_rate": 0.0001148263647711842,
696
+ "loss": 0.5772,
697
+ "step": 96
698
+ },
699
+ {
700
+ "epoch": 0.02117672743150311,
701
+ "grad_norm": 0.17010308802127838,
702
+ "learning_rate": 0.00011318921713420691,
703
+ "loss": 0.6766,
704
+ "step": 97
705
+ },
706
+ {
707
+ "epoch": 0.021395044209147472,
708
+ "grad_norm": 0.17190682888031006,
709
+ "learning_rate": 0.00011154846369695863,
710
+ "loss": 0.6057,
711
+ "step": 98
712
+ },
713
+ {
714
+ "epoch": 0.021613360986791834,
715
+ "grad_norm": 0.18158312141895294,
716
+ "learning_rate": 0.0001099045530250463,
717
+ "loss": 0.7767,
718
+ "step": 99
719
+ },
720
+ {
721
+ "epoch": 0.021831677764436196,
722
+ "grad_norm": 0.18446941673755646,
723
+ "learning_rate": 0.00010825793454723325,
724
+ "loss": 0.7482,
725
+ "step": 100
726
+ },
727
+ {
728
+ "epoch": 0.021831677764436196,
729
+ "eval_loss": 0.6601452231407166,
730
+ "eval_runtime": 181.8265,
731
+ "eval_samples_per_second": 10.609,
732
+ "eval_steps_per_second": 5.307,
733
+ "step": 100
734
  }
735
  ],
736
  "logging_steps": 1,
 
750
  "attributes": {}
751
  }
752
  },
753
+ "total_flos": 6.563165450010624e+16,
754
  "train_batch_size": 2,
755
  "trial_name": null,
756
  "trial_params": null