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:
|
3 |
size 45118424
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c8de56ca5001970f2b4ac5fd4c2444118f4a79a9678a57cd1e5c4ffea15ca864
|
3 |
size 45118424
|
last-checkpoint/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 90365754
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:12dbc4d2a4addaebe579434b538916ebab29def00b70ec1de92647437c486e08
|
3 |
size 90365754
|
last-checkpoint/rng_state.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14244
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:957dcaaa3617dcba0054658d8536cddb7a10cc7ecf4a6d99ecd28642104f716a
|
3 |
size 14244
|
last-checkpoint/scheduler.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
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.
|
3 |
-
"best_model_checkpoint": "miner_id_24/checkpoint-
|
4 |
-
"epoch": 0.
|
5 |
"eval_steps": 25,
|
6 |
-
"global_step":
|
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": 37.293,
|
382 |
"eval_steps_per_second": 5.221,
|
383 |
"step": 50
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
384 |
}
|
385 |
],
|
386 |
"logging_steps": 1,
|
@@ -409,7 +775,7 @@
|
|
409 |
"attributes": {}
|
410 |
}
|
411 |
},
|
412 |
-
"total_flos":
|
413 |
"train_batch_size": 8,
|
414 |
"trial_name": null,
|
415 |
"trial_params": null
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.020673463121056557,
|
3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-100",
|
4 |
+
"epoch": 0.21869874248223073,
|
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": 37.293,
|
382 |
"eval_steps_per_second": 5.221,
|
383 |
"step": 50
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 0.11153635866593767,
|
387 |
+
"grad_norm": 1.0392637252807617,
|
388 |
+
"learning_rate": 0.0002668315918143169,
|
389 |
+
"loss": 0.0633,
|
390 |
+
"step": 51
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 0.11372334609075997,
|
394 |
+
"grad_norm": 0.15875579416751862,
|
395 |
+
"learning_rate": 0.00026526016662852886,
|
396 |
+
"loss": 0.0412,
|
397 |
+
"step": 52
|
398 |
+
},
|
399 |
+
{
|
400 |
+
"epoch": 0.11591033351558229,
|
401 |
+
"grad_norm": 0.1337694674730301,
|
402 |
+
"learning_rate": 0.00026365723046405023,
|
403 |
+
"loss": 0.0385,
|
404 |
+
"step": 53
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 0.1180973209404046,
|
408 |
+
"grad_norm": 0.05959850922226906,
|
409 |
+
"learning_rate": 0.0002620232215476231,
|
410 |
+
"loss": 0.0177,
|
411 |
+
"step": 54
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 0.1202843083652269,
|
415 |
+
"grad_norm": 0.1247549057006836,
|
416 |
+
"learning_rate": 0.0002603585866009697,
|
417 |
+
"loss": 0.0184,
|
418 |
+
"step": 55
|
419 |
+
},
|
420 |
+
{
|
421 |
+
"epoch": 0.1224712957900492,
|
422 |
+
"grad_norm": 0.20971360802650452,
|
423 |
+
"learning_rate": 0.00025866378071866334,
|
424 |
+
"loss": 0.0167,
|
425 |
+
"step": 56
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 0.12465828321487152,
|
429 |
+
"grad_norm": 0.14267611503601074,
|
430 |
+
"learning_rate": 0.00025693926724370956,
|
431 |
+
"loss": 0.0161,
|
432 |
+
"step": 57
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 0.1268452706396938,
|
436 |
+
"grad_norm": 0.10089556872844696,
|
437 |
+
"learning_rate": 0.00025518551764087326,
|
438 |
+
"loss": 0.0161,
|
439 |
+
"step": 58
|
440 |
+
},
|
441 |
+
{
|
442 |
+
"epoch": 0.12903225806451613,
|
443 |
+
"grad_norm": 0.10070645809173584,
|
444 |
+
"learning_rate": 0.00025340301136778483,
|
445 |
+
"loss": 0.0188,
|
446 |
+
"step": 59
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 0.13121924548933844,
|
450 |
+
"grad_norm": 0.1393732726573944,
|
451 |
+
"learning_rate": 0.00025159223574386114,
|
452 |
+
"loss": 0.0142,
|
453 |
+
"step": 60
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 0.13340623291416073,
|
457 |
+
"grad_norm": 0.09585541486740112,
|
458 |
+
"learning_rate": 0.0002497536858170772,
|
459 |
+
"loss": 0.0211,
|
460 |
+
"step": 61
|
461 |
+
},
|
462 |
+
{
|
463 |
+
"epoch": 0.13559322033898305,
|
464 |
+
"grad_norm": 0.22409416735172272,
|
465 |
+
"learning_rate": 0.00024788786422862526,
|
466 |
+
"loss": 0.0246,
|
467 |
+
"step": 62
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 0.13778020776380537,
|
471 |
+
"grad_norm": 0.11945615708827972,
|
472 |
+
"learning_rate": 0.00024599528107549745,
|
473 |
+
"loss": 0.016,
|
474 |
+
"step": 63
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 0.13996719518862766,
|
478 |
+
"grad_norm": 0.0991947129368782,
|
479 |
+
"learning_rate": 0.00024407645377103054,
|
480 |
+
"loss": 0.019,
|
481 |
+
"step": 64
|
482 |
+
},
|
483 |
+
{
|
484 |
+
"epoch": 0.14215418261344998,
|
485 |
+
"grad_norm": 0.09855477511882782,
|
486 |
+
"learning_rate": 0.00024213190690345018,
|
487 |
+
"loss": 0.0175,
|
488 |
+
"step": 65
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 0.1443411700382723,
|
492 |
+
"grad_norm": 0.09625185281038284,
|
493 |
+
"learning_rate": 0.00024016217209245374,
|
494 |
+
"loss": 0.0144,
|
495 |
+
"step": 66
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 0.14652815746309458,
|
499 |
+
"grad_norm": 0.12816566228866577,
|
500 |
+
"learning_rate": 0.00023816778784387094,
|
501 |
+
"loss": 0.0161,
|
502 |
+
"step": 67
|
503 |
+
},
|
504 |
+
{
|
505 |
+
"epoch": 0.1487151448879169,
|
506 |
+
"grad_norm": 0.08715605735778809,
|
507 |
+
"learning_rate": 0.0002361492994024415,
|
508 |
+
"loss": 0.0139,
|
509 |
+
"step": 68
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 0.1509021323127392,
|
513 |
+
"grad_norm": 0.2528409957885742,
|
514 |
+
"learning_rate": 0.0002341072586027509,
|
515 |
+
"loss": 0.0218,
|
516 |
+
"step": 69
|
517 |
+
},
|
518 |
+
{
|
519 |
+
"epoch": 0.1530891197375615,
|
520 |
+
"grad_norm": 0.12442867457866669,
|
521 |
+
"learning_rate": 0.00023204222371836405,
|
522 |
+
"loss": 0.0198,
|
523 |
+
"step": 70
|
524 |
+
},
|
525 |
+
{
|
526 |
+
"epoch": 0.15527610716238383,
|
527 |
+
"grad_norm": 0.1194726973772049,
|
528 |
+
"learning_rate": 0.00022995475930919905,
|
529 |
+
"loss": 0.023,
|
530 |
+
"step": 71
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 0.15746309458720611,
|
534 |
+
"grad_norm": 0.09626832604408264,
|
535 |
+
"learning_rate": 0.00022784543606718227,
|
536 |
+
"loss": 0.0138,
|
537 |
+
"step": 72
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 0.15965008201202843,
|
541 |
+
"grad_norm": 0.12682025134563446,
|
542 |
+
"learning_rate": 0.00022571483066022657,
|
543 |
+
"loss": 0.0157,
|
544 |
+
"step": 73
|
545 |
+
},
|
546 |
+
{
|
547 |
+
"epoch": 0.16183706943685075,
|
548 |
+
"grad_norm": 0.2088419646024704,
|
549 |
+
"learning_rate": 0.0002235635255745762,
|
550 |
+
"loss": 0.0157,
|
551 |
+
"step": 74
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 0.16402405686167304,
|
555 |
+
"grad_norm": 0.13500891625881195,
|
556 |
+
"learning_rate": 0.00022139210895556104,
|
557 |
+
"loss": 0.0222,
|
558 |
+
"step": 75
|
559 |
+
},
|
560 |
+
{
|
561 |
+
"epoch": 0.16402405686167304,
|
562 |
+
"eval_loss": 0.022737087681889534,
|
563 |
+
"eval_runtime": 1.3392,
|
564 |
+
"eval_samples_per_second": 37.336,
|
565 |
+
"eval_steps_per_second": 5.227,
|
566 |
+
"step": 75
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 0.16621104428649536,
|
570 |
+
"grad_norm": 0.15281231701374054,
|
571 |
+
"learning_rate": 0.00021920117444680317,
|
572 |
+
"loss": 0.019,
|
573 |
+
"step": 76
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 0.16839803171131765,
|
577 |
+
"grad_norm": 0.11248669028282166,
|
578 |
+
"learning_rate": 0.00021699132102792097,
|
579 |
+
"loss": 0.0132,
|
580 |
+
"step": 77
|
581 |
+
},
|
582 |
+
{
|
583 |
+
"epoch": 0.17058501913613996,
|
584 |
+
"grad_norm": 0.15063031017780304,
|
585 |
+
"learning_rate": 0.0002147631528507739,
|
586 |
+
"loss": 0.017,
|
587 |
+
"step": 78
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 0.17277200656096228,
|
591 |
+
"grad_norm": 0.15281358361244202,
|
592 |
+
"learning_rate": 0.00021251727907429355,
|
593 |
+
"loss": 0.0141,
|
594 |
+
"step": 79
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 0.17495899398578457,
|
598 |
+
"grad_norm": 0.1836492121219635,
|
599 |
+
"learning_rate": 0.0002102543136979454,
|
600 |
+
"loss": 0.0197,
|
601 |
+
"step": 80
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 0.1771459814106069,
|
605 |
+
"grad_norm": 0.1414135992527008,
|
606 |
+
"learning_rate": 0.0002079748753938678,
|
607 |
+
"loss": 0.0205,
|
608 |
+
"step": 81
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 0.1793329688354292,
|
612 |
+
"grad_norm": 0.14938773214817047,
|
613 |
+
"learning_rate": 0.0002056795873377331,
|
614 |
+
"loss": 0.0185,
|
615 |
+
"step": 82
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 0.1815199562602515,
|
619 |
+
"grad_norm": 0.2255454659461975,
|
620 |
+
"learning_rate": 0.00020336907703837748,
|
621 |
+
"loss": 0.0198,
|
622 |
+
"step": 83
|
623 |
+
},
|
624 |
+
{
|
625 |
+
"epoch": 0.18370694368507381,
|
626 |
+
"grad_norm": 0.21891963481903076,
|
627 |
+
"learning_rate": 0.00020104397616624645,
|
628 |
+
"loss": 0.025,
|
629 |
+
"step": 84
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 0.1858939311098961,
|
633 |
+
"grad_norm": 0.1948690116405487,
|
634 |
+
"learning_rate": 0.00019870492038070252,
|
635 |
+
"loss": 0.0162,
|
636 |
+
"step": 85
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 0.18808091853471842,
|
640 |
+
"grad_norm": 0.21625962853431702,
|
641 |
+
"learning_rate": 0.0001963525491562421,
|
642 |
+
"loss": 0.0263,
|
643 |
+
"step": 86
|
644 |
+
},
|
645 |
+
{
|
646 |
+
"epoch": 0.19026790595954074,
|
647 |
+
"grad_norm": 0.2148241251707077,
|
648 |
+
"learning_rate": 0.0001939875056076697,
|
649 |
+
"loss": 0.0301,
|
650 |
+
"step": 87
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 0.19245489338436303,
|
654 |
+
"grad_norm": 0.20526079833507538,
|
655 |
+
"learning_rate": 0.00019161043631427666,
|
656 |
+
"loss": 0.0284,
|
657 |
+
"step": 88
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 0.19464188080918535,
|
661 |
+
"grad_norm": 0.25726714730262756,
|
662 |
+
"learning_rate": 0.00018922199114307294,
|
663 |
+
"loss": 0.0387,
|
664 |
+
"step": 89
|
665 |
+
},
|
666 |
+
{
|
667 |
+
"epoch": 0.19682886823400766,
|
668 |
+
"grad_norm": 0.23738834261894226,
|
669 |
+
"learning_rate": 0.00018682282307111987,
|
670 |
+
"loss": 0.0268,
|
671 |
+
"step": 90
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 0.19901585565882995,
|
675 |
+
"grad_norm": 0.24734491109848022,
|
676 |
+
"learning_rate": 0.00018441358800701273,
|
677 |
+
"loss": 0.0326,
|
678 |
+
"step": 91
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 0.20120284308365227,
|
682 |
+
"grad_norm": 0.24052025377750397,
|
683 |
+
"learning_rate": 0.00018199494461156203,
|
684 |
+
"loss": 0.0434,
|
685 |
+
"step": 92
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"epoch": 0.2033898305084746,
|
689 |
+
"grad_norm": 0.27265802025794983,
|
690 |
+
"learning_rate": 0.000179567554117722,
|
691 |
+
"loss": 0.045,
|
692 |
+
"step": 93
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 0.20557681793329688,
|
696 |
+
"grad_norm": 0.21144987642765045,
|
697 |
+
"learning_rate": 0.00017713208014981648,
|
698 |
+
"loss": 0.0181,
|
699 |
+
"step": 94
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 0.2077638053581192,
|
703 |
+
"grad_norm": 0.3239058554172516,
|
704 |
+
"learning_rate": 0.00017468918854211007,
|
705 |
+
"loss": 0.0487,
|
706 |
+
"step": 95
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 0.2099507927829415,
|
710 |
+
"grad_norm": 0.3763501048088074,
|
711 |
+
"learning_rate": 0.00017223954715677627,
|
712 |
+
"loss": 0.0731,
|
713 |
+
"step": 96
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 0.2121377802077638,
|
717 |
+
"grad_norm": 0.38792726397514343,
|
718 |
+
"learning_rate": 0.00016978382570131034,
|
719 |
+
"loss": 0.0556,
|
720 |
+
"step": 97
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 0.21432476763258612,
|
724 |
+
"grad_norm": 0.4279646873474121,
|
725 |
+
"learning_rate": 0.00016732269554543794,
|
726 |
+
"loss": 0.08,
|
727 |
+
"step": 98
|
728 |
+
},
|
729 |
+
{
|
730 |
+
"epoch": 0.2165117550574084,
|
731 |
+
"grad_norm": 0.6510411500930786,
|
732 |
+
"learning_rate": 0.00016485682953756942,
|
733 |
+
"loss": 0.1366,
|
734 |
+
"step": 99
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 0.21869874248223073,
|
738 |
+
"grad_norm": 1.3243879079818726,
|
739 |
+
"learning_rate": 0.00016238690182084986,
|
740 |
+
"loss": 0.2728,
|
741 |
+
"step": 100
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 0.21869874248223073,
|
745 |
+
"eval_loss": 0.020673463121056557,
|
746 |
+
"eval_runtime": 1.3447,
|
747 |
+
"eval_samples_per_second": 37.182,
|
748 |
+
"eval_steps_per_second": 5.206,
|
749 |
+
"step": 100
|
750 |
}
|
751 |
],
|
752 |
"logging_steps": 1,
|
|
|
775 |
"attributes": {}
|
776 |
}
|
777 |
},
|
778 |
+
"total_flos": 2.2928976632610816e+16,
|
779 |
"train_batch_size": 8,
|
780 |
"trial_name": null,
|
781 |
"trial_params": null
|