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 59933632
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9860b73015b15607627aceb40b08147e8f53966aa2cdaf579d26c56d260c4253
|
3 |
size 59933632
|
last-checkpoint/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 31822948
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:66a968e36f5602a15c95b5682482753dacf50dd4f7eabf0937b3718f438ec804
|
3 |
size 31822948
|
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 sha256:63e5a52ccff9e6b431cd0b66738dcf15797c1e46a2c0785103a072af324fa007
|
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 sha256:3fc7800513a1b4dd006c457152c700dd768bb49ee4ed8e4d9665a4e42095b054
|
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.
|
5 |
"eval_steps": 50,
|
6 |
-
"global_step":
|
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": 27.347,
|
374 |
"eval_steps_per_second": 13.673,
|
375 |
"step": 50
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
376 |
}
|
377 |
],
|
378 |
"logging_steps": 1,
|
@@ -392,7 +750,7 @@
|
|
392 |
"attributes": {}
|
393 |
}
|
394 |
},
|
395 |
-
"total_flos":
|
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": 0.0063363325307312125,
|
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": 27.347,
|
374 |
"eval_steps_per_second": 13.673,
|
375 |
"step": 50
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 0.0032315295906729185,
|
379 |
+
"grad_norm": 0.8580302596092224,
|
380 |
+
"learning_rate": 0.00017788772787621126,
|
381 |
+
"loss": 0.3992,
|
382 |
+
"step": 51
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 0.0032948929159802307,
|
386 |
+
"grad_norm": 0.7331790328025818,
|
387 |
+
"learning_rate": 0.00017684011108568592,
|
388 |
+
"loss": 0.5749,
|
389 |
+
"step": 52
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 0.003358256241287543,
|
393 |
+
"grad_norm": 1.4232603311538696,
|
394 |
+
"learning_rate": 0.0001757714869760335,
|
395 |
+
"loss": 0.633,
|
396 |
+
"step": 53
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 0.003421619566594855,
|
400 |
+
"grad_norm": 0.6469828486442566,
|
401 |
+
"learning_rate": 0.0001746821476984154,
|
402 |
+
"loss": 0.4805,
|
403 |
+
"step": 54
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 0.003484982891902167,
|
407 |
+
"grad_norm": 0.5833075046539307,
|
408 |
+
"learning_rate": 0.00017357239106731317,
|
409 |
+
"loss": 0.303,
|
410 |
+
"step": 55
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.003548346217209479,
|
414 |
+
"grad_norm": 0.5430967807769775,
|
415 |
+
"learning_rate": 0.00017244252047910892,
|
416 |
+
"loss": 0.3606,
|
417 |
+
"step": 56
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.0036117095425167913,
|
421 |
+
"grad_norm": 0.7270248532295227,
|
422 |
+
"learning_rate": 0.00017129284482913972,
|
423 |
+
"loss": 0.519,
|
424 |
+
"step": 57
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 0.0036750728678241035,
|
428 |
+
"grad_norm": 0.497071236371994,
|
429 |
+
"learning_rate": 0.00017012367842724887,
|
430 |
+
"loss": 0.3192,
|
431 |
+
"step": 58
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 0.0037384361931314157,
|
435 |
+
"grad_norm": 0.5522649884223938,
|
436 |
+
"learning_rate": 0.0001689353409118566,
|
437 |
+
"loss": 0.4403,
|
438 |
+
"step": 59
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 0.0038017995184387275,
|
442 |
+
"grad_norm": 1.4259494543075562,
|
443 |
+
"learning_rate": 0.00016772815716257412,
|
444 |
+
"loss": 0.4538,
|
445 |
+
"step": 60
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 0.0038651628437460397,
|
449 |
+
"grad_norm": 0.5942732095718384,
|
450 |
+
"learning_rate": 0.0001665024572113848,
|
451 |
+
"loss": 0.3762,
|
452 |
+
"step": 61
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.003928526169053352,
|
456 |
+
"grad_norm": 0.5439912676811218,
|
457 |
+
"learning_rate": 0.00016525857615241687,
|
458 |
+
"loss": 0.4122,
|
459 |
+
"step": 62
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.003991889494360664,
|
463 |
+
"grad_norm": 0.4867478311061859,
|
464 |
+
"learning_rate": 0.00016399685405033167,
|
465 |
+
"loss": 0.2925,
|
466 |
+
"step": 63
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 0.004055252819667976,
|
470 |
+
"grad_norm": 0.8213767409324646,
|
471 |
+
"learning_rate": 0.0001627176358473537,
|
472 |
+
"loss": 0.4217,
|
473 |
+
"step": 64
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 0.004118616144975288,
|
477 |
+
"grad_norm": 1.1848950386047363,
|
478 |
+
"learning_rate": 0.0001614212712689668,
|
479 |
+
"loss": 0.3365,
|
480 |
+
"step": 65
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 0.004181979470282601,
|
484 |
+
"grad_norm": 0.7401292324066162,
|
485 |
+
"learning_rate": 0.00016010811472830252,
|
486 |
+
"loss": 0.7397,
|
487 |
+
"step": 66
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"epoch": 0.0042453427955899126,
|
491 |
+
"grad_norm": 0.910925030708313,
|
492 |
+
"learning_rate": 0.00015877852522924732,
|
493 |
+
"loss": 0.431,
|
494 |
+
"step": 67
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 0.004308706120897224,
|
498 |
+
"grad_norm": 0.8558295965194702,
|
499 |
+
"learning_rate": 0.00015743286626829437,
|
500 |
+
"loss": 0.3999,
|
501 |
+
"step": 68
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 0.004372069446204537,
|
505 |
+
"grad_norm": 0.5612680315971375,
|
506 |
+
"learning_rate": 0.0001560715057351673,
|
507 |
+
"loss": 0.4328,
|
508 |
+
"step": 69
|
509 |
+
},
|
510 |
+
{
|
511 |
+
"epoch": 0.004435432771511849,
|
512 |
+
"grad_norm": 0.38900530338287354,
|
513 |
+
"learning_rate": 0.00015469481581224272,
|
514 |
+
"loss": 0.4551,
|
515 |
+
"step": 70
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 0.004498796096819161,
|
519 |
+
"grad_norm": 0.5994769334793091,
|
520 |
+
"learning_rate": 0.0001533031728727994,
|
521 |
+
"loss": 0.4326,
|
522 |
+
"step": 71
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 0.004562159422126473,
|
526 |
+
"grad_norm": 0.5441716909408569,
|
527 |
+
"learning_rate": 0.00015189695737812152,
|
528 |
+
"loss": 0.7896,
|
529 |
+
"step": 72
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 0.004625522747433785,
|
533 |
+
"grad_norm": 1.3651723861694336,
|
534 |
+
"learning_rate": 0.0001504765537734844,
|
535 |
+
"loss": 0.3994,
|
536 |
+
"step": 73
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 0.004688886072741098,
|
540 |
+
"grad_norm": 1.0307939052581787,
|
541 |
+
"learning_rate": 0.00014904235038305083,
|
542 |
+
"loss": 0.4365,
|
543 |
+
"step": 74
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 0.004752249398048409,
|
547 |
+
"grad_norm": 0.5589604377746582,
|
548 |
+
"learning_rate": 0.00014759473930370736,
|
549 |
+
"loss": 0.4381,
|
550 |
+
"step": 75
|
551 |
+
},
|
552 |
+
{
|
553 |
+
"epoch": 0.004815612723355722,
|
554 |
+
"grad_norm": 0.6483279466629028,
|
555 |
+
"learning_rate": 0.0001461341162978688,
|
556 |
+
"loss": 1.2379,
|
557 |
+
"step": 76
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 0.004878976048663034,
|
561 |
+
"grad_norm": 0.688217282295227,
|
562 |
+
"learning_rate": 0.00014466088068528068,
|
563 |
+
"loss": 0.3769,
|
564 |
+
"step": 77
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 0.004942339373970346,
|
568 |
+
"grad_norm": 0.6985648274421692,
|
569 |
+
"learning_rate": 0.00014317543523384928,
|
570 |
+
"loss": 0.2771,
|
571 |
+
"step": 78
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 0.005005702699277658,
|
575 |
+
"grad_norm": 1.2414263486862183,
|
576 |
+
"learning_rate": 0.00014167818604952906,
|
577 |
+
"loss": 0.3534,
|
578 |
+
"step": 79
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 0.00506906602458497,
|
582 |
+
"grad_norm": 0.6788727045059204,
|
583 |
+
"learning_rate": 0.00014016954246529696,
|
584 |
+
"loss": 0.5284,
|
585 |
+
"step": 80
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 0.005132429349892283,
|
589 |
+
"grad_norm": 0.7818289995193481,
|
590 |
+
"learning_rate": 0.00013864991692924523,
|
591 |
+
"loss": 0.2941,
|
592 |
+
"step": 81
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 0.0051957926751995944,
|
596 |
+
"grad_norm": 0.6787352561950684,
|
597 |
+
"learning_rate": 0.00013711972489182208,
|
598 |
+
"loss": 0.3318,
|
599 |
+
"step": 82
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 0.005259156000506906,
|
603 |
+
"grad_norm": 0.971752941608429,
|
604 |
+
"learning_rate": 0.00013557938469225167,
|
605 |
+
"loss": 0.4559,
|
606 |
+
"step": 83
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 0.005322519325814219,
|
610 |
+
"grad_norm": 0.5854300260543823,
|
611 |
+
"learning_rate": 0.00013402931744416433,
|
612 |
+
"loss": 0.3601,
|
613 |
+
"step": 84
|
614 |
+
},
|
615 |
+
{
|
616 |
+
"epoch": 0.005385882651121531,
|
617 |
+
"grad_norm": 0.7647449374198914,
|
618 |
+
"learning_rate": 0.00013246994692046836,
|
619 |
+
"loss": 0.435,
|
620 |
+
"step": 85
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 0.005449245976428843,
|
624 |
+
"grad_norm": 0.5981462001800537,
|
625 |
+
"learning_rate": 0.00013090169943749476,
|
626 |
+
"loss": 0.4311,
|
627 |
+
"step": 86
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 0.005512609301736155,
|
631 |
+
"grad_norm": 0.4233483374118805,
|
632 |
+
"learning_rate": 0.0001293250037384465,
|
633 |
+
"loss": 0.415,
|
634 |
+
"step": 87
|
635 |
+
},
|
636 |
+
{
|
637 |
+
"epoch": 0.005575972627043467,
|
638 |
+
"grad_norm": 0.8820663094520569,
|
639 |
+
"learning_rate": 0.00012774029087618446,
|
640 |
+
"loss": 0.3958,
|
641 |
+
"step": 88
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 0.0056393359523507795,
|
645 |
+
"grad_norm": 0.6327323317527771,
|
646 |
+
"learning_rate": 0.00012614799409538198,
|
647 |
+
"loss": 0.6534,
|
648 |
+
"step": 89
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 0.005702699277658091,
|
652 |
+
"grad_norm": 0.5511671304702759,
|
653 |
+
"learning_rate": 0.00012454854871407994,
|
654 |
+
"loss": 0.3668,
|
655 |
+
"step": 90
|
656 |
+
},
|
657 |
+
{
|
658 |
+
"epoch": 0.005766062602965404,
|
659 |
+
"grad_norm": 0.7432234883308411,
|
660 |
+
"learning_rate": 0.00012294239200467516,
|
661 |
+
"loss": 0.3317,
|
662 |
+
"step": 91
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 0.005829425928272716,
|
666 |
+
"grad_norm": 0.6933262348175049,
|
667 |
+
"learning_rate": 0.0001213299630743747,
|
668 |
+
"loss": 0.3444,
|
669 |
+
"step": 92
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 0.0058927892535800275,
|
673 |
+
"grad_norm": 0.7745187878608704,
|
674 |
+
"learning_rate": 0.00011971170274514802,
|
675 |
+
"loss": 0.1975,
|
676 |
+
"step": 93
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 0.00595615257888734,
|
680 |
+
"grad_norm": 0.6152411699295044,
|
681 |
+
"learning_rate": 0.000118088053433211,
|
682 |
+
"loss": 0.5463,
|
683 |
+
"step": 94
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 0.006019515904194652,
|
687 |
+
"grad_norm": 1.3992512226104736,
|
688 |
+
"learning_rate": 0.00011645945902807341,
|
689 |
+
"loss": 0.4622,
|
690 |
+
"step": 95
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 0.0060828792295019645,
|
694 |
+
"grad_norm": 0.8983330726623535,
|
695 |
+
"learning_rate": 0.0001148263647711842,
|
696 |
+
"loss": 0.466,
|
697 |
+
"step": 96
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"epoch": 0.006146242554809276,
|
701 |
+
"grad_norm": 0.5503897666931152,
|
702 |
+
"learning_rate": 0.00011318921713420691,
|
703 |
+
"loss": 0.37,
|
704 |
+
"step": 97
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 0.006209605880116588,
|
708 |
+
"grad_norm": 0.5463910102844238,
|
709 |
+
"learning_rate": 0.00011154846369695863,
|
710 |
+
"loss": 0.3198,
|
711 |
+
"step": 98
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 0.006272969205423901,
|
715 |
+
"grad_norm": 0.4767880141735077,
|
716 |
+
"learning_rate": 0.0001099045530250463,
|
717 |
+
"loss": 0.3526,
|
718 |
+
"step": 99
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 0.0063363325307312125,
|
722 |
+
"grad_norm": 1.2058966159820557,
|
723 |
+
"learning_rate": 0.00010825793454723325,
|
724 |
+
"loss": 0.4968,
|
725 |
+
"step": 100
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 0.0063363325307312125,
|
729 |
+
"eval_loss": 0.3803197145462036,
|
730 |
+
"eval_runtime": 243.4104,
|
731 |
+
"eval_samples_per_second": 27.304,
|
732 |
+
"eval_steps_per_second": 13.652,
|
733 |
+
"step": 100
|
734 |
}
|
735 |
],
|
736 |
"logging_steps": 1,
|
|
|
750 |
"attributes": {}
|
751 |
}
|
752 |
},
|
753 |
+
"total_flos": 1.3677852390064128e+16,
|
754 |
"train_batch_size": 2,
|
755 |
"trial_name": null,
|
756 |
"trial_params": null
|