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 180385008
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7068c6d7d3afedfe23631dd7a779ccbfd98cd1053d078ebefd7ad8c57cf6e30b
|
3 |
size 180385008
|
last-checkpoint/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 91850362
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fde7816ceac0667dc43f111549d3d262b2f806cfc6c6f28abe6bf433c2e69443
|
3 |
size 91850362
|
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:a0f0f49b5a732f11d52455d4acbbf5c37d947be6438ba89bd0dcb5c2491fc24d
|
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 sha256:0ddb9588ea654e56e83effcf81a2bc03480954babcf6415cb44d41d3bfb8039f
|
3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"best_metric": 2.
|
3 |
-
"best_model_checkpoint": "miner_id_24/checkpoint-
|
4 |
-
"epoch":
|
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": 24.85,
|
374 |
"eval_steps_per_second": 6.212,
|
375 |
"step": 50
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
376 |
}
|
377 |
],
|
378 |
"logging_steps": 1,
|
@@ -401,7 +759,7 @@
|
|
401 |
"attributes": {}
|
402 |
}
|
403 |
},
|
404 |
-
"total_flos":
|
405 |
"train_batch_size": 8,
|
406 |
"trial_name": null,
|
407 |
"trial_params": null
|
|
|
1 |
{
|
2 |
+
"best_metric": 2.191638946533203,
|
3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-100",
|
4 |
+
"epoch": 1.2012012012012012,
|
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": 24.85,
|
374 |
"eval_steps_per_second": 6.212,
|
375 |
"step": 50
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 0.6126126126126126,
|
379 |
+
"grad_norm": 0.4661988317966461,
|
380 |
+
"learning_rate": 8.894386393810563e-05,
|
381 |
+
"loss": 2.1841,
|
382 |
+
"step": 51
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 0.6246246246246246,
|
386 |
+
"grad_norm": 0.45055660605430603,
|
387 |
+
"learning_rate": 8.842005554284296e-05,
|
388 |
+
"loss": 2.2628,
|
389 |
+
"step": 52
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 0.6366366366366366,
|
393 |
+
"grad_norm": 0.47169768810272217,
|
394 |
+
"learning_rate": 8.788574348801675e-05,
|
395 |
+
"loss": 2.305,
|
396 |
+
"step": 53
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 0.6486486486486487,
|
400 |
+
"grad_norm": 0.47180622816085815,
|
401 |
+
"learning_rate": 8.73410738492077e-05,
|
402 |
+
"loss": 2.2606,
|
403 |
+
"step": 54
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 0.6606606606606606,
|
407 |
+
"grad_norm": 0.47041988372802734,
|
408 |
+
"learning_rate": 8.678619553365659e-05,
|
409 |
+
"loss": 2.2409,
|
410 |
+
"step": 55
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.6726726726726727,
|
414 |
+
"grad_norm": 0.454802006483078,
|
415 |
+
"learning_rate": 8.622126023955446e-05,
|
416 |
+
"loss": 2.2503,
|
417 |
+
"step": 56
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.6846846846846847,
|
421 |
+
"grad_norm": 0.4808672070503235,
|
422 |
+
"learning_rate": 8.564642241456986e-05,
|
423 |
+
"loss": 2.3921,
|
424 |
+
"step": 57
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 0.6966966966966966,
|
428 |
+
"grad_norm": 0.4827421307563782,
|
429 |
+
"learning_rate": 8.506183921362443e-05,
|
430 |
+
"loss": 2.262,
|
431 |
+
"step": 58
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 0.7087087087087087,
|
435 |
+
"grad_norm": 0.49734070897102356,
|
436 |
+
"learning_rate": 8.44676704559283e-05,
|
437 |
+
"loss": 2.4196,
|
438 |
+
"step": 59
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 0.7207207207207207,
|
442 |
+
"grad_norm": 0.5037516951560974,
|
443 |
+
"learning_rate": 8.386407858128706e-05,
|
444 |
+
"loss": 2.4554,
|
445 |
+
"step": 60
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 0.7327327327327328,
|
449 |
+
"grad_norm": 0.4393552541732788,
|
450 |
+
"learning_rate": 8.32512286056924e-05,
|
451 |
+
"loss": 2.1092,
|
452 |
+
"step": 61
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.7447447447447447,
|
456 |
+
"grad_norm": 0.4560452103614807,
|
457 |
+
"learning_rate": 8.262928807620843e-05,
|
458 |
+
"loss": 2.0799,
|
459 |
+
"step": 62
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.7567567567567568,
|
463 |
+
"grad_norm": 0.4581015706062317,
|
464 |
+
"learning_rate": 8.199842702516583e-05,
|
465 |
+
"loss": 2.1583,
|
466 |
+
"step": 63
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 0.7687687687687688,
|
470 |
+
"grad_norm": 0.4785716235637665,
|
471 |
+
"learning_rate": 8.135881792367686e-05,
|
472 |
+
"loss": 2.2039,
|
473 |
+
"step": 64
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 0.7807807807807807,
|
477 |
+
"grad_norm": 0.46477729082107544,
|
478 |
+
"learning_rate": 8.07106356344834e-05,
|
479 |
+
"loss": 2.1403,
|
480 |
+
"step": 65
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 0.7927927927927928,
|
484 |
+
"grad_norm": 0.46302974224090576,
|
485 |
+
"learning_rate": 8.005405736415126e-05,
|
486 |
+
"loss": 2.1734,
|
487 |
+
"step": 66
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"epoch": 0.8048048048048048,
|
491 |
+
"grad_norm": 0.469603955745697,
|
492 |
+
"learning_rate": 7.938926261462366e-05,
|
493 |
+
"loss": 2.2121,
|
494 |
+
"step": 67
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 0.8168168168168168,
|
498 |
+
"grad_norm": 0.48566359281539917,
|
499 |
+
"learning_rate": 7.871643313414718e-05,
|
500 |
+
"loss": 2.216,
|
501 |
+
"step": 68
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 0.8288288288288288,
|
505 |
+
"grad_norm": 0.4689801037311554,
|
506 |
+
"learning_rate": 7.803575286758364e-05,
|
507 |
+
"loss": 2.1911,
|
508 |
+
"step": 69
|
509 |
+
},
|
510 |
+
{
|
511 |
+
"epoch": 0.8408408408408409,
|
512 |
+
"grad_norm": 0.4652516543865204,
|
513 |
+
"learning_rate": 7.734740790612136e-05,
|
514 |
+
"loss": 2.2589,
|
515 |
+
"step": 70
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 0.8528528528528528,
|
519 |
+
"grad_norm": 0.46898356080055237,
|
520 |
+
"learning_rate": 7.66515864363997e-05,
|
521 |
+
"loss": 2.1985,
|
522 |
+
"step": 71
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 0.8648648648648649,
|
526 |
+
"grad_norm": 0.4824417531490326,
|
527 |
+
"learning_rate": 7.594847868906076e-05,
|
528 |
+
"loss": 2.2688,
|
529 |
+
"step": 72
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 0.8768768768768769,
|
533 |
+
"grad_norm": 0.46958738565444946,
|
534 |
+
"learning_rate": 7.52382768867422e-05,
|
535 |
+
"loss": 2.2605,
|
536 |
+
"step": 73
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 0.8888888888888888,
|
540 |
+
"grad_norm": 0.4817938208580017,
|
541 |
+
"learning_rate": 7.452117519152542e-05,
|
542 |
+
"loss": 2.2527,
|
543 |
+
"step": 74
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 0.9009009009009009,
|
547 |
+
"grad_norm": 0.4745516777038574,
|
548 |
+
"learning_rate": 7.379736965185368e-05,
|
549 |
+
"loss": 2.2814,
|
550 |
+
"step": 75
|
551 |
+
},
|
552 |
+
{
|
553 |
+
"epoch": 0.9129129129129129,
|
554 |
+
"grad_norm": 0.49045321345329285,
|
555 |
+
"learning_rate": 7.30670581489344e-05,
|
556 |
+
"loss": 2.3105,
|
557 |
+
"step": 76
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 0.924924924924925,
|
561 |
+
"grad_norm": 0.5104289054870605,
|
562 |
+
"learning_rate": 7.233044034264034e-05,
|
563 |
+
"loss": 2.2616,
|
564 |
+
"step": 77
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 0.9369369369369369,
|
568 |
+
"grad_norm": 0.5061110854148865,
|
569 |
+
"learning_rate": 7.158771761692464e-05,
|
570 |
+
"loss": 2.3641,
|
571 |
+
"step": 78
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 0.948948948948949,
|
575 |
+
"grad_norm": 0.49394217133522034,
|
576 |
+
"learning_rate": 7.083909302476453e-05,
|
577 |
+
"loss": 2.4144,
|
578 |
+
"step": 79
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 0.960960960960961,
|
582 |
+
"grad_norm": 0.5313133597373962,
|
583 |
+
"learning_rate": 7.008477123264848e-05,
|
584 |
+
"loss": 2.5564,
|
585 |
+
"step": 80
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 0.972972972972973,
|
589 |
+
"grad_norm": 0.4830684959888458,
|
590 |
+
"learning_rate": 6.932495846462261e-05,
|
591 |
+
"loss": 2.1418,
|
592 |
+
"step": 81
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 0.984984984984985,
|
596 |
+
"grad_norm": 0.47343122959136963,
|
597 |
+
"learning_rate": 6.855986244591104e-05,
|
598 |
+
"loss": 2.1518,
|
599 |
+
"step": 82
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 0.996996996996997,
|
603 |
+
"grad_norm": 0.4916979670524597,
|
604 |
+
"learning_rate": 6.778969234612584e-05,
|
605 |
+
"loss": 2.2134,
|
606 |
+
"step": 83
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 1.009009009009009,
|
610 |
+
"grad_norm": 1.7826623916625977,
|
611 |
+
"learning_rate": 6.701465872208216e-05,
|
612 |
+
"loss": 4.0989,
|
613 |
+
"step": 84
|
614 |
+
},
|
615 |
+
{
|
616 |
+
"epoch": 1.021021021021021,
|
617 |
+
"grad_norm": 0.48136138916015625,
|
618 |
+
"learning_rate": 6.623497346023418e-05,
|
619 |
+
"loss": 2.0882,
|
620 |
+
"step": 85
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 1.033033033033033,
|
624 |
+
"grad_norm": 0.48217904567718506,
|
625 |
+
"learning_rate": 6.545084971874738e-05,
|
626 |
+
"loss": 2.0661,
|
627 |
+
"step": 86
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 1.045045045045045,
|
631 |
+
"grad_norm": 0.4503604769706726,
|
632 |
+
"learning_rate": 6.466250186922325e-05,
|
633 |
+
"loss": 2.0021,
|
634 |
+
"step": 87
|
635 |
+
},
|
636 |
+
{
|
637 |
+
"epoch": 1.057057057057057,
|
638 |
+
"grad_norm": 0.482292115688324,
|
639 |
+
"learning_rate": 6.387014543809223e-05,
|
640 |
+
"loss": 2.0701,
|
641 |
+
"step": 88
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 1.069069069069069,
|
645 |
+
"grad_norm": 0.47316575050354004,
|
646 |
+
"learning_rate": 6.307399704769099e-05,
|
647 |
+
"loss": 2.0497,
|
648 |
+
"step": 89
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 1.0810810810810811,
|
652 |
+
"grad_norm": 0.48678597807884216,
|
653 |
+
"learning_rate": 6.227427435703997e-05,
|
654 |
+
"loss": 2.1136,
|
655 |
+
"step": 90
|
656 |
+
},
|
657 |
+
{
|
658 |
+
"epoch": 1.093093093093093,
|
659 |
+
"grad_norm": 0.511247992515564,
|
660 |
+
"learning_rate": 6.147119600233758e-05,
|
661 |
+
"loss": 2.1374,
|
662 |
+
"step": 91
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 1.105105105105105,
|
666 |
+
"grad_norm": 0.48688921332359314,
|
667 |
+
"learning_rate": 6.066498153718735e-05,
|
668 |
+
"loss": 2.1204,
|
669 |
+
"step": 92
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 1.117117117117117,
|
673 |
+
"grad_norm": 0.48262637853622437,
|
674 |
+
"learning_rate": 5.985585137257401e-05,
|
675 |
+
"loss": 2.095,
|
676 |
+
"step": 93
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 1.1291291291291292,
|
680 |
+
"grad_norm": 0.4971187114715576,
|
681 |
+
"learning_rate": 5.90440267166055e-05,
|
682 |
+
"loss": 2.0891,
|
683 |
+
"step": 94
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 1.1411411411411412,
|
687 |
+
"grad_norm": 0.4802643656730652,
|
688 |
+
"learning_rate": 5.8229729514036705e-05,
|
689 |
+
"loss": 2.1336,
|
690 |
+
"step": 95
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 1.1531531531531531,
|
694 |
+
"grad_norm": 0.5007813572883606,
|
695 |
+
"learning_rate": 5.74131823855921e-05,
|
696 |
+
"loss": 2.1243,
|
697 |
+
"step": 96
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"epoch": 1.165165165165165,
|
701 |
+
"grad_norm": 0.48893651366233826,
|
702 |
+
"learning_rate": 5.6594608567103456e-05,
|
703 |
+
"loss": 2.0958,
|
704 |
+
"step": 97
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 1.1771771771771773,
|
708 |
+
"grad_norm": 0.4917381703853607,
|
709 |
+
"learning_rate": 5.577423184847932e-05,
|
710 |
+
"loss": 2.2016,
|
711 |
+
"step": 98
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 1.1891891891891893,
|
715 |
+
"grad_norm": 0.5127087235450745,
|
716 |
+
"learning_rate": 5.495227651252315e-05,
|
717 |
+
"loss": 2.1832,
|
718 |
+
"step": 99
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 1.2012012012012012,
|
722 |
+
"grad_norm": 0.5067014098167419,
|
723 |
+
"learning_rate": 5.4128967273616625e-05,
|
724 |
+
"loss": 2.2025,
|
725 |
+
"step": 100
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 1.2012012012012012,
|
729 |
+
"eval_loss": 2.191638946533203,
|
730 |
+
"eval_runtime": 5.6281,
|
731 |
+
"eval_samples_per_second": 24.875,
|
732 |
+
"eval_steps_per_second": 6.219,
|
733 |
+
"step": 100
|
734 |
}
|
735 |
],
|
736 |
"logging_steps": 1,
|
|
|
759 |
"attributes": {}
|
760 |
}
|
761 |
},
|
762 |
+
"total_flos": 3.99760643063808e+16,
|
763 |
"train_batch_size": 8,
|
764 |
"trial_name": null,
|
765 |
"trial_params": null
|