Upload folder using huggingface_hub
Browse files- model.safetensors +1 -1
- optimizer.pt +3 -0
- rng_state.pth +0 -0
- scheduler.pt +0 -0
- trainer_state.json +283 -3
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1426462208
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:670944acbbf85d809895ecabf59d038c6a56eec83ecc7dbc2170456ff81fefa9
|
3 |
size 1426462208
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a89b33001d76783cd0c9e2e7bf2659d37c66658149ddb1c1250c7d8f9aa23e50
|
3 |
+
size 2853107898
|
rng_state.pth
CHANGED
Binary files a/rng_state.pth and b/rng_state.pth differ
|
|
scheduler.pt
CHANGED
Binary files a/scheduler.pt and b/scheduler.pt differ
|
|
trainer_state.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch": 0.
|
5 |
"eval_steps": 500,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
@@ -427,6 +427,286 @@
|
|
427 |
"learning_rate": 3.601696495848285e-05,
|
428 |
"loss": 2.5301,
|
429 |
"step": 600000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
430 |
}
|
431 |
],
|
432 |
"logging_steps": 10000,
|
@@ -446,7 +726,7 @@
|
|
446 |
"attributes": {}
|
447 |
}
|
448 |
},
|
449 |
-
"total_flos":
|
450 |
"train_batch_size": 4,
|
451 |
"trial_name": null,
|
452 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.46627524414171784,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 1000000,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
|
|
427 |
"learning_rate": 3.601696495848285e-05,
|
428 |
"loss": 2.5301,
|
429 |
"step": 600000
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.2844278989264479,
|
433 |
+
"grad_norm": 0.9649547338485718,
|
434 |
+
"learning_rate": 3.578389727769861e-05,
|
435 |
+
"loss": 2.5304,
|
436 |
+
"step": 610000
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.28909065136786505,
|
440 |
+
"grad_norm": 1.0385549068450928,
|
441 |
+
"learning_rate": 3.5550876224438794e-05,
|
442 |
+
"loss": 2.5179,
|
443 |
+
"step": 620000
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.2937534038092822,
|
447 |
+
"grad_norm": 1.1167703866958618,
|
448 |
+
"learning_rate": 3.5317785229892346e-05,
|
449 |
+
"loss": 2.5168,
|
450 |
+
"step": 630000
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.2984161562506994,
|
454 |
+
"grad_norm": 0.8988041281700134,
|
455 |
+
"learning_rate": 3.508476417663252e-05,
|
456 |
+
"loss": 2.519,
|
457 |
+
"step": 640000
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.30307890869211657,
|
461 |
+
"grad_norm": 1.2292715311050415,
|
462 |
+
"learning_rate": 3.485169649584828e-05,
|
463 |
+
"loss": 2.5102,
|
464 |
+
"step": 650000
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.3077416611335338,
|
468 |
+
"grad_norm": 0.9778872728347778,
|
469 |
+
"learning_rate": 3.4618652128826254e-05,
|
470 |
+
"loss": 2.5115,
|
471 |
+
"step": 660000
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.31240441357495097,
|
475 |
+
"grad_norm": 0.9290140271186829,
|
476 |
+
"learning_rate": 3.4385584448042016e-05,
|
477 |
+
"loss": 2.5068,
|
478 |
+
"step": 670000
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.31706716601636814,
|
482 |
+
"grad_norm": 0.8549484610557556,
|
483 |
+
"learning_rate": 3.415254008101999e-05,
|
484 |
+
"loss": 2.5045,
|
485 |
+
"step": 680000
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.3217299184577853,
|
489 |
+
"grad_norm": 0.9482207894325256,
|
490 |
+
"learning_rate": 3.391949571399796e-05,
|
491 |
+
"loss": 2.5002,
|
492 |
+
"step": 690000
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.3263926708992025,
|
496 |
+
"grad_norm": 0.9213985204696655,
|
497 |
+
"learning_rate": 3.368642803321372e-05,
|
498 |
+
"loss": 2.499,
|
499 |
+
"step": 700000
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.33105542334061966,
|
503 |
+
"grad_norm": 0.9165827631950378,
|
504 |
+
"learning_rate": 3.345338366619169e-05,
|
505 |
+
"loss": 2.4978,
|
506 |
+
"step": 710000
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.33571817578203683,
|
510 |
+
"grad_norm": 0.9712676405906677,
|
511 |
+
"learning_rate": 3.3220315985407453e-05,
|
512 |
+
"loss": 2.4923,
|
513 |
+
"step": 720000
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.340380928223454,
|
517 |
+
"grad_norm": 0.9476392865180969,
|
518 |
+
"learning_rate": 3.2987271618385425e-05,
|
519 |
+
"loss": 2.4921,
|
520 |
+
"step": 730000
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.3450436806648712,
|
524 |
+
"grad_norm": 0.8675413727760315,
|
525 |
+
"learning_rate": 3.275422725136339e-05,
|
526 |
+
"loss": 2.4913,
|
527 |
+
"step": 740000
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.34970643310628835,
|
531 |
+
"grad_norm": 1.0163840055465698,
|
532 |
+
"learning_rate": 3.252115957057915e-05,
|
533 |
+
"loss": 2.4876,
|
534 |
+
"step": 750000
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.3543691855477056,
|
538 |
+
"grad_norm": 0.8246685862541199,
|
539 |
+
"learning_rate": 3.228809188979491e-05,
|
540 |
+
"loss": 2.4848,
|
541 |
+
"step": 760000
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.35903193798912275,
|
545 |
+
"grad_norm": 1.1230520009994507,
|
546 |
+
"learning_rate": 3.205507083653509e-05,
|
547 |
+
"loss": 2.4856,
|
548 |
+
"step": 770000
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.3636946904305399,
|
552 |
+
"grad_norm": 1.0105488300323486,
|
553 |
+
"learning_rate": 3.182200315575085e-05,
|
554 |
+
"loss": 2.4815,
|
555 |
+
"step": 780000
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.3683574428719571,
|
559 |
+
"grad_norm": 1.0298407077789307,
|
560 |
+
"learning_rate": 3.158893547496662e-05,
|
561 |
+
"loss": 2.4801,
|
562 |
+
"step": 790000
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.37302019531337427,
|
566 |
+
"grad_norm": 1.1969521045684814,
|
567 |
+
"learning_rate": 3.135589110794458e-05,
|
568 |
+
"loss": 2.4776,
|
569 |
+
"step": 800000
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.37768294775479144,
|
573 |
+
"grad_norm": 0.9831893444061279,
|
574 |
+
"learning_rate": 3.112287005468476e-05,
|
575 |
+
"loss": 2.4787,
|
576 |
+
"step": 810000
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.3823457001962086,
|
580 |
+
"grad_norm": 1.2115819454193115,
|
581 |
+
"learning_rate": 3.0889825687662735e-05,
|
582 |
+
"loss": 2.4721,
|
583 |
+
"step": 820000
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.3870084526376258,
|
587 |
+
"grad_norm": 1.0241882801055908,
|
588 |
+
"learning_rate": 3.06567813206407e-05,
|
589 |
+
"loss": 2.4714,
|
590 |
+
"step": 830000
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.39167120507904296,
|
594 |
+
"grad_norm": 1.0166583061218262,
|
595 |
+
"learning_rate": 3.042373695361867e-05,
|
596 |
+
"loss": 2.4736,
|
597 |
+
"step": 840000
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.39633395752046013,
|
601 |
+
"grad_norm": 0.9006229639053345,
|
602 |
+
"learning_rate": 3.0190645959072226e-05,
|
603 |
+
"loss": 2.4678,
|
604 |
+
"step": 850000
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.40099670996187736,
|
608 |
+
"grad_norm": 1.0126405954360962,
|
609 |
+
"learning_rate": 2.9957624905812404e-05,
|
610 |
+
"loss": 2.4651,
|
611 |
+
"step": 860000
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.40565946240329454,
|
615 |
+
"grad_norm": 1.3557987213134766,
|
616 |
+
"learning_rate": 2.972458053879037e-05,
|
617 |
+
"loss": 2.466,
|
618 |
+
"step": 870000
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.4103222148447117,
|
622 |
+
"grad_norm": 1.241245150566101,
|
623 |
+
"learning_rate": 2.9491559485530546e-05,
|
624 |
+
"loss": 2.4611,
|
625 |
+
"step": 880000
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.4149849672861289,
|
629 |
+
"grad_norm": 1.0998499393463135,
|
630 |
+
"learning_rate": 2.9258491804746315e-05,
|
631 |
+
"loss": 2.4618,
|
632 |
+
"step": 890000
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.41964771972754605,
|
636 |
+
"grad_norm": 0.9139440655708313,
|
637 |
+
"learning_rate": 2.902544743772428e-05,
|
638 |
+
"loss": 2.461,
|
639 |
+
"step": 900000
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.4243104721689632,
|
643 |
+
"grad_norm": 0.8467987179756165,
|
644 |
+
"learning_rate": 2.8792426384464453e-05,
|
645 |
+
"loss": 2.4584,
|
646 |
+
"step": 910000
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.4289732246103804,
|
650 |
+
"grad_norm": 1.090574860572815,
|
651 |
+
"learning_rate": 2.8559335389918012e-05,
|
652 |
+
"loss": 2.4567,
|
653 |
+
"step": 920000
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.43363597705179757,
|
657 |
+
"grad_norm": 1.063254714012146,
|
658 |
+
"learning_rate": 2.832629102289598e-05,
|
659 |
+
"loss": 2.4572,
|
660 |
+
"step": 930000
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.43829872949321474,
|
664 |
+
"grad_norm": 0.962209165096283,
|
665 |
+
"learning_rate": 2.8093223342111742e-05,
|
666 |
+
"loss": 2.4525,
|
667 |
+
"step": 940000
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.4429614819346319,
|
671 |
+
"grad_norm": 0.9544676542282104,
|
672 |
+
"learning_rate": 2.7860202288851923e-05,
|
673 |
+
"loss": 2.4518,
|
674 |
+
"step": 950000
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.44762423437604915,
|
678 |
+
"grad_norm": 1.0543245077133179,
|
679 |
+
"learning_rate": 2.7627134608067685e-05,
|
680 |
+
"loss": 2.4423,
|
681 |
+
"step": 960000
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.4522869868174663,
|
685 |
+
"grad_norm": 1.1137259006500244,
|
686 |
+
"learning_rate": 2.7394066927283447e-05,
|
687 |
+
"loss": 2.445,
|
688 |
+
"step": 970000
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.4569497392588835,
|
692 |
+
"grad_norm": 0.8332359790802002,
|
693 |
+
"learning_rate": 2.716102256026141e-05,
|
694 |
+
"loss": 2.4483,
|
695 |
+
"step": 980000
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.46161249170030066,
|
699 |
+
"grad_norm": 0.9382948875427246,
|
700 |
+
"learning_rate": 2.6927954879477173e-05,
|
701 |
+
"loss": 2.4451,
|
702 |
+
"step": 990000
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.46627524414171784,
|
706 |
+
"grad_norm": 0.8949111700057983,
|
707 |
+
"learning_rate": 2.6694910512455145e-05,
|
708 |
+
"loss": 2.4431,
|
709 |
+
"step": 1000000
|
710 |
}
|
711 |
],
|
712 |
"logging_steps": 10000,
|
|
|
726 |
"attributes": {}
|
727 |
}
|
728 |
},
|
729 |
+
"total_flos": 2.4657896443479982e+19,
|
730 |
"train_batch_size": 4,
|
731 |
"trial_name": null,
|
732 |
"trial_params": null
|