bbytxt commited on
Commit
8ee790a
·
verified ·
1 Parent(s): b14aa38

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:c797493308f849a08c5e7d7ac8b0e4d1c47d85431cd969f7b48ea7920693aac6
3
  size 167832240
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9a51eff07bcf1c476676f264753221fb47e0ba5e66de5bb48daa0f85560d250f
3
  size 167832240
last-checkpoint/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:570c4f31d1c8ab0feec486080ac08503e3e3f03e91c236b71d177ae1e04db59b
3
  size 335922386
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:43ea20ff0258ae8d7107346a757b2167cf031efbb08cc13e6baab19a43a67cd2
3
  size 335922386
last-checkpoint/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a0b76d33b222e6a1f6ffbd52cb3041c6b0e0caa59ad0e8c3484eef06ae5cdb98
3
  size 14244
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:488f9ccb9139328d3c70686bc7d853bc45f11a87b761b5daef6d314d86065370
3
  size 14244
last-checkpoint/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7ad2841b888ce0ae948634757c3fcacf0119c249e0fec8f3ca61ea266369ef92
3
  size 1064
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c5d2a6c6aafc669cea03b9634666f204de949a3d45ce2f48a07e7e3eaf18c715
3
  size 1064
last-checkpoint/trainer_state.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
- "best_metric": 0.26192525029182434,
3
- "best_model_checkpoint": "miner_id_24/checkpoint-50",
4
- "epoch": 0.44150110375275936,
5
  "eval_steps": 25,
6
- "global_step": 50,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
@@ -381,6 +381,372 @@
381
  "eval_samples_per_second": 5.809,
382
  "eval_steps_per_second": 0.813,
383
  "step": 50
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
384
  }
385
  ],
386
  "logging_steps": 1,
@@ -409,7 +775,7 @@
409
  "attributes": {}
410
  }
411
  },
412
- "total_flos": 1.1035573342961664e+17,
413
  "train_batch_size": 8,
414
  "trial_name": null,
415
  "trial_params": null
 
1
  {
2
+ "best_metric": 0.22081802785396576,
3
+ "best_model_checkpoint": "miner_id_24/checkpoint-100",
4
+ "epoch": 0.8830022075055187,
5
  "eval_steps": 25,
6
+ "global_step": 100,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
 
381
  "eval_samples_per_second": 5.809,
382
  "eval_steps_per_second": 0.813,
383
  "step": 50
384
+ },
385
+ {
386
+ "epoch": 0.4503311258278146,
387
+ "grad_norm": 0.26269274950027466,
388
+ "learning_rate": 0.0002668315918143169,
389
+ "loss": 0.1918,
390
+ "step": 51
391
+ },
392
+ {
393
+ "epoch": 0.45916114790286977,
394
+ "grad_norm": 0.4410167336463928,
395
+ "learning_rate": 0.00026526016662852886,
396
+ "loss": 0.2198,
397
+ "step": 52
398
+ },
399
+ {
400
+ "epoch": 0.46799116997792495,
401
+ "grad_norm": 0.3116855025291443,
402
+ "learning_rate": 0.00026365723046405023,
403
+ "loss": 0.2459,
404
+ "step": 53
405
+ },
406
+ {
407
+ "epoch": 0.4768211920529801,
408
+ "grad_norm": 0.37757059931755066,
409
+ "learning_rate": 0.0002620232215476231,
410
+ "loss": 0.2896,
411
+ "step": 54
412
+ },
413
+ {
414
+ "epoch": 0.4856512141280353,
415
+ "grad_norm": 0.4453379511833191,
416
+ "learning_rate": 0.0002603585866009697,
417
+ "loss": 0.3244,
418
+ "step": 55
419
+ },
420
+ {
421
+ "epoch": 0.49448123620309054,
422
+ "grad_norm": 1.5678483247756958,
423
+ "learning_rate": 0.00025866378071866334,
424
+ "loss": 0.6317,
425
+ "step": 56
426
+ },
427
+ {
428
+ "epoch": 0.5033112582781457,
429
+ "grad_norm": 0.3457544147968292,
430
+ "learning_rate": 0.00025693926724370956,
431
+ "loss": 0.3821,
432
+ "step": 57
433
+ },
434
+ {
435
+ "epoch": 0.5121412803532008,
436
+ "grad_norm": 0.3128604292869568,
437
+ "learning_rate": 0.00025518551764087326,
438
+ "loss": 0.3191,
439
+ "step": 58
440
+ },
441
+ {
442
+ "epoch": 0.5209713024282561,
443
+ "grad_norm": 0.28137052059173584,
444
+ "learning_rate": 0.00025340301136778483,
445
+ "loss": 0.3323,
446
+ "step": 59
447
+ },
448
+ {
449
+ "epoch": 0.5298013245033113,
450
+ "grad_norm": 0.2762452960014343,
451
+ "learning_rate": 0.00025159223574386114,
452
+ "loss": 0.3163,
453
+ "step": 60
454
+ },
455
+ {
456
+ "epoch": 0.5386313465783664,
457
+ "grad_norm": 0.26939550042152405,
458
+ "learning_rate": 0.0002497536858170772,
459
+ "loss": 0.2338,
460
+ "step": 61
461
+ },
462
+ {
463
+ "epoch": 0.5474613686534217,
464
+ "grad_norm": 0.25849199295043945,
465
+ "learning_rate": 0.00024788786422862526,
466
+ "loss": 0.24,
467
+ "step": 62
468
+ },
469
+ {
470
+ "epoch": 0.5562913907284768,
471
+ "grad_norm": 0.2425060272216797,
472
+ "learning_rate": 0.00024599528107549745,
473
+ "loss": 0.234,
474
+ "step": 63
475
+ },
476
+ {
477
+ "epoch": 0.565121412803532,
478
+ "grad_norm": 0.23768416047096252,
479
+ "learning_rate": 0.00024407645377103054,
480
+ "loss": 0.2171,
481
+ "step": 64
482
+ },
483
+ {
484
+ "epoch": 0.5739514348785872,
485
+ "grad_norm": 0.2728182077407837,
486
+ "learning_rate": 0.00024213190690345018,
487
+ "loss": 0.227,
488
+ "step": 65
489
+ },
490
+ {
491
+ "epoch": 0.5827814569536424,
492
+ "grad_norm": 0.23953858017921448,
493
+ "learning_rate": 0.00024016217209245374,
494
+ "loss": 0.2238,
495
+ "step": 66
496
+ },
497
+ {
498
+ "epoch": 0.5916114790286976,
499
+ "grad_norm": 0.25809717178344727,
500
+ "learning_rate": 0.00023816778784387094,
501
+ "loss": 0.2426,
502
+ "step": 67
503
+ },
504
+ {
505
+ "epoch": 0.6004415011037527,
506
+ "grad_norm": 0.28087127208709717,
507
+ "learning_rate": 0.0002361492994024415,
508
+ "loss": 0.2699,
509
+ "step": 68
510
+ },
511
+ {
512
+ "epoch": 0.609271523178808,
513
+ "grad_norm": 0.25422003865242004,
514
+ "learning_rate": 0.0002341072586027509,
515
+ "loss": 0.2469,
516
+ "step": 69
517
+ },
518
+ {
519
+ "epoch": 0.6181015452538632,
520
+ "grad_norm": 0.271660178899765,
521
+ "learning_rate": 0.00023204222371836405,
522
+ "loss": 0.2638,
523
+ "step": 70
524
+ },
525
+ {
526
+ "epoch": 0.6269315673289183,
527
+ "grad_norm": 0.25974762439727783,
528
+ "learning_rate": 0.00022995475930919905,
529
+ "loss": 0.2447,
530
+ "step": 71
531
+ },
532
+ {
533
+ "epoch": 0.6357615894039735,
534
+ "grad_norm": 0.23339006304740906,
535
+ "learning_rate": 0.00022784543606718227,
536
+ "loss": 0.2318,
537
+ "step": 72
538
+ },
539
+ {
540
+ "epoch": 0.6445916114790287,
541
+ "grad_norm": 0.2516346871852875,
542
+ "learning_rate": 0.00022571483066022657,
543
+ "loss": 0.2679,
544
+ "step": 73
545
+ },
546
+ {
547
+ "epoch": 0.6534216335540839,
548
+ "grad_norm": 0.2606465518474579,
549
+ "learning_rate": 0.0002235635255745762,
550
+ "loss": 0.2452,
551
+ "step": 74
552
+ },
553
+ {
554
+ "epoch": 0.6622516556291391,
555
+ "grad_norm": 0.2597995698451996,
556
+ "learning_rate": 0.00022139210895556104,
557
+ "loss": 0.1828,
558
+ "step": 75
559
+ },
560
+ {
561
+ "epoch": 0.6622516556291391,
562
+ "eval_loss": 0.23728808760643005,
563
+ "eval_runtime": 9.0028,
564
+ "eval_samples_per_second": 5.554,
565
+ "eval_steps_per_second": 0.778,
566
+ "step": 75
567
+ },
568
+ {
569
+ "epoch": 0.6710816777041942,
570
+ "grad_norm": 0.2870580852031708,
571
+ "learning_rate": 0.00021920117444680317,
572
+ "loss": 0.222,
573
+ "step": 76
574
+ },
575
+ {
576
+ "epoch": 0.6799116997792495,
577
+ "grad_norm": 0.24285611510276794,
578
+ "learning_rate": 0.00021699132102792097,
579
+ "loss": 0.1982,
580
+ "step": 77
581
+ },
582
+ {
583
+ "epoch": 0.6887417218543046,
584
+ "grad_norm": 0.24280601739883423,
585
+ "learning_rate": 0.0002147631528507739,
586
+ "loss": 0.2086,
587
+ "step": 78
588
+ },
589
+ {
590
+ "epoch": 0.6975717439293598,
591
+ "grad_norm": 0.275769978761673,
592
+ "learning_rate": 0.00021251727907429355,
593
+ "loss": 0.2052,
594
+ "step": 79
595
+ },
596
+ {
597
+ "epoch": 0.7064017660044151,
598
+ "grad_norm": 0.2648524045944214,
599
+ "learning_rate": 0.0002102543136979454,
600
+ "loss": 0.204,
601
+ "step": 80
602
+ },
603
+ {
604
+ "epoch": 0.7152317880794702,
605
+ "grad_norm": 0.34556815028190613,
606
+ "learning_rate": 0.0002079748753938678,
607
+ "loss": 0.2676,
608
+ "step": 81
609
+ },
610
+ {
611
+ "epoch": 0.7240618101545254,
612
+ "grad_norm": 0.3545214831829071,
613
+ "learning_rate": 0.0002056795873377331,
614
+ "loss": 0.2618,
615
+ "step": 82
616
+ },
617
+ {
618
+ "epoch": 0.7328918322295805,
619
+ "grad_norm": 0.3948529064655304,
620
+ "learning_rate": 0.00020336907703837748,
621
+ "loss": 0.2681,
622
+ "step": 83
623
+ },
624
+ {
625
+ "epoch": 0.7417218543046358,
626
+ "grad_norm": 1.6499781608581543,
627
+ "learning_rate": 0.00020104397616624645,
628
+ "loss": 0.6606,
629
+ "step": 84
630
+ },
631
+ {
632
+ "epoch": 0.7505518763796909,
633
+ "grad_norm": 0.2808334529399872,
634
+ "learning_rate": 0.00019870492038070252,
635
+ "loss": 0.344,
636
+ "step": 85
637
+ },
638
+ {
639
+ "epoch": 0.7593818984547461,
640
+ "grad_norm": 0.27674341201782227,
641
+ "learning_rate": 0.0001963525491562421,
642
+ "loss": 0.3014,
643
+ "step": 86
644
+ },
645
+ {
646
+ "epoch": 0.7682119205298014,
647
+ "grad_norm": 0.2440793216228485,
648
+ "learning_rate": 0.0001939875056076697,
649
+ "loss": 0.3069,
650
+ "step": 87
651
+ },
652
+ {
653
+ "epoch": 0.7770419426048565,
654
+ "grad_norm": 0.2647138237953186,
655
+ "learning_rate": 0.00019161043631427666,
656
+ "loss": 0.28,
657
+ "step": 88
658
+ },
659
+ {
660
+ "epoch": 0.7858719646799117,
661
+ "grad_norm": 0.2215111255645752,
662
+ "learning_rate": 0.00018922199114307294,
663
+ "loss": 0.2274,
664
+ "step": 89
665
+ },
666
+ {
667
+ "epoch": 0.7947019867549668,
668
+ "grad_norm": 0.20203767716884613,
669
+ "learning_rate": 0.00018682282307111987,
670
+ "loss": 0.1834,
671
+ "step": 90
672
+ },
673
+ {
674
+ "epoch": 0.8035320088300221,
675
+ "grad_norm": 0.23644301295280457,
676
+ "learning_rate": 0.00018441358800701273,
677
+ "loss": 0.244,
678
+ "step": 91
679
+ },
680
+ {
681
+ "epoch": 0.8123620309050773,
682
+ "grad_norm": 0.23923274874687195,
683
+ "learning_rate": 0.00018199494461156203,
684
+ "loss": 0.1987,
685
+ "step": 92
686
+ },
687
+ {
688
+ "epoch": 0.8211920529801324,
689
+ "grad_norm": 0.2625834047794342,
690
+ "learning_rate": 0.000179567554117722,
691
+ "loss": 0.2483,
692
+ "step": 93
693
+ },
694
+ {
695
+ "epoch": 0.8300220750551877,
696
+ "grad_norm": 0.2455959916114807,
697
+ "learning_rate": 0.00017713208014981648,
698
+ "loss": 0.2222,
699
+ "step": 94
700
+ },
701
+ {
702
+ "epoch": 0.8388520971302428,
703
+ "grad_norm": 0.2274852693080902,
704
+ "learning_rate": 0.00017468918854211007,
705
+ "loss": 0.2276,
706
+ "step": 95
707
+ },
708
+ {
709
+ "epoch": 0.847682119205298,
710
+ "grad_norm": 0.23596301674842834,
711
+ "learning_rate": 0.00017223954715677627,
712
+ "loss": 0.2226,
713
+ "step": 96
714
+ },
715
+ {
716
+ "epoch": 0.8565121412803532,
717
+ "grad_norm": 0.25137948989868164,
718
+ "learning_rate": 0.00016978382570131034,
719
+ "loss": 0.2432,
720
+ "step": 97
721
+ },
722
+ {
723
+ "epoch": 0.8653421633554084,
724
+ "grad_norm": 0.25432929396629333,
725
+ "learning_rate": 0.00016732269554543794,
726
+ "loss": 0.2066,
727
+ "step": 98
728
+ },
729
+ {
730
+ "epoch": 0.8741721854304636,
731
+ "grad_norm": 0.2482401430606842,
732
+ "learning_rate": 0.00016485682953756942,
733
+ "loss": 0.2212,
734
+ "step": 99
735
+ },
736
+ {
737
+ "epoch": 0.8830022075055187,
738
+ "grad_norm": 0.2436574399471283,
739
+ "learning_rate": 0.00016238690182084986,
740
+ "loss": 0.2298,
741
+ "step": 100
742
+ },
743
+ {
744
+ "epoch": 0.8830022075055187,
745
+ "eval_loss": 0.22081802785396576,
746
+ "eval_runtime": 8.4385,
747
+ "eval_samples_per_second": 5.925,
748
+ "eval_steps_per_second": 0.83,
749
+ "step": 100
750
  }
751
  ],
752
  "logging_steps": 1,
 
775
  "attributes": {}
776
  }
777
  },
778
+ "total_flos": 2.2189384971740774e+17,
779
  "train_batch_size": 8,
780
  "trial_name": null,
781
  "trial_params": null