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 671149168
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:36e53edd075cd161d8de745d78eeec19547d29c9da3a44ad1f11fb0d260b940d
|
3 |
size 671149168
|
last-checkpoint/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 341314196
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:107c9afca397321eba53a1f9b71f7d5e17df566dd96385f8a5abeda94b8b09f8
|
3 |
size 341314196
|
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:ce3f194643b4dd69f77fc4a51955be921f1a2045bc4f988e1958582626652d3a
|
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": 0.
|
3 |
-
"best_model_checkpoint": "miner_id_24/checkpoint-
|
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": 12.35,
|
374 |
"eval_steps_per_second": 3.09,
|
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": 0.810309112071991,
|
3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-100",
|
4 |
+
"epoch": 0.054945054945054944,
|
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": 12.35,
|
374 |
"eval_steps_per_second": 3.09,
|
375 |
"step": 50
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 0.028021978021978023,
|
379 |
+
"grad_norm": 4.3182268142700195,
|
380 |
+
"learning_rate": 8.894386393810563e-05,
|
381 |
+
"loss": 0.9381,
|
382 |
+
"step": 51
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 0.02857142857142857,
|
386 |
+
"grad_norm": 3.6858444213867188,
|
387 |
+
"learning_rate": 8.842005554284296e-05,
|
388 |
+
"loss": 1.0042,
|
389 |
+
"step": 52
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 0.02912087912087912,
|
393 |
+
"grad_norm": 3.4486730098724365,
|
394 |
+
"learning_rate": 8.788574348801675e-05,
|
395 |
+
"loss": 0.9807,
|
396 |
+
"step": 53
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 0.02967032967032967,
|
400 |
+
"grad_norm": 4.263784885406494,
|
401 |
+
"learning_rate": 8.73410738492077e-05,
|
402 |
+
"loss": 0.7938,
|
403 |
+
"step": 54
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 0.03021978021978022,
|
407 |
+
"grad_norm": 3.1360929012298584,
|
408 |
+
"learning_rate": 8.678619553365659e-05,
|
409 |
+
"loss": 0.7528,
|
410 |
+
"step": 55
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.03076923076923077,
|
414 |
+
"grad_norm": 3.7347052097320557,
|
415 |
+
"learning_rate": 8.622126023955446e-05,
|
416 |
+
"loss": 0.8403,
|
417 |
+
"step": 56
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.03131868131868132,
|
421 |
+
"grad_norm": 3.3182191848754883,
|
422 |
+
"learning_rate": 8.564642241456986e-05,
|
423 |
+
"loss": 0.8076,
|
424 |
+
"step": 57
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 0.031868131868131866,
|
428 |
+
"grad_norm": 2.980205774307251,
|
429 |
+
"learning_rate": 8.506183921362443e-05,
|
430 |
+
"loss": 0.7868,
|
431 |
+
"step": 58
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 0.03241758241758242,
|
435 |
+
"grad_norm": 3.3988683223724365,
|
436 |
+
"learning_rate": 8.44676704559283e-05,
|
437 |
+
"loss": 0.8072,
|
438 |
+
"step": 59
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 0.03296703296703297,
|
442 |
+
"grad_norm": 3.52750301361084,
|
443 |
+
"learning_rate": 8.386407858128706e-05,
|
444 |
+
"loss": 0.8784,
|
445 |
+
"step": 60
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 0.033516483516483515,
|
449 |
+
"grad_norm": 3.604893684387207,
|
450 |
+
"learning_rate": 8.32512286056924e-05,
|
451 |
+
"loss": 0.7565,
|
452 |
+
"step": 61
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.03406593406593406,
|
456 |
+
"grad_norm": 3.4089083671569824,
|
457 |
+
"learning_rate": 8.262928807620843e-05,
|
458 |
+
"loss": 0.8974,
|
459 |
+
"step": 62
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.03461538461538462,
|
463 |
+
"grad_norm": 4.178040504455566,
|
464 |
+
"learning_rate": 8.199842702516583e-05,
|
465 |
+
"loss": 0.868,
|
466 |
+
"step": 63
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 0.035164835164835165,
|
470 |
+
"grad_norm": 3.4511518478393555,
|
471 |
+
"learning_rate": 8.135881792367686e-05,
|
472 |
+
"loss": 1.0132,
|
473 |
+
"step": 64
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 0.03571428571428571,
|
477 |
+
"grad_norm": 3.3299479484558105,
|
478 |
+
"learning_rate": 8.07106356344834e-05,
|
479 |
+
"loss": 0.8356,
|
480 |
+
"step": 65
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 0.03626373626373627,
|
484 |
+
"grad_norm": 3.3526644706726074,
|
485 |
+
"learning_rate": 8.005405736415126e-05,
|
486 |
+
"loss": 0.8513,
|
487 |
+
"step": 66
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"epoch": 0.036813186813186814,
|
491 |
+
"grad_norm": 3.367147922515869,
|
492 |
+
"learning_rate": 7.938926261462366e-05,
|
493 |
+
"loss": 1.0042,
|
494 |
+
"step": 67
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 0.03736263736263736,
|
498 |
+
"grad_norm": 3.2283849716186523,
|
499 |
+
"learning_rate": 7.871643313414718e-05,
|
500 |
+
"loss": 0.8084,
|
501 |
+
"step": 68
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 0.03791208791208791,
|
505 |
+
"grad_norm": 3.1080996990203857,
|
506 |
+
"learning_rate": 7.803575286758364e-05,
|
507 |
+
"loss": 0.9091,
|
508 |
+
"step": 69
|
509 |
+
},
|
510 |
+
{
|
511 |
+
"epoch": 0.038461538461538464,
|
512 |
+
"grad_norm": 3.440809488296509,
|
513 |
+
"learning_rate": 7.734740790612136e-05,
|
514 |
+
"loss": 0.912,
|
515 |
+
"step": 70
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 0.03901098901098901,
|
519 |
+
"grad_norm": 4.543209552764893,
|
520 |
+
"learning_rate": 7.66515864363997e-05,
|
521 |
+
"loss": 0.9512,
|
522 |
+
"step": 71
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 0.03956043956043956,
|
526 |
+
"grad_norm": 3.6167526245117188,
|
527 |
+
"learning_rate": 7.594847868906076e-05,
|
528 |
+
"loss": 0.7516,
|
529 |
+
"step": 72
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 0.04010989010989011,
|
533 |
+
"grad_norm": 4.1947479248046875,
|
534 |
+
"learning_rate": 7.52382768867422e-05,
|
535 |
+
"loss": 0.9431,
|
536 |
+
"step": 73
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 0.04065934065934066,
|
540 |
+
"grad_norm": 3.461369752883911,
|
541 |
+
"learning_rate": 7.452117519152542e-05,
|
542 |
+
"loss": 0.8908,
|
543 |
+
"step": 74
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 0.04120879120879121,
|
547 |
+
"grad_norm": 3.3791346549987793,
|
548 |
+
"learning_rate": 7.379736965185368e-05,
|
549 |
+
"loss": 0.7087,
|
550 |
+
"step": 75
|
551 |
+
},
|
552 |
+
{
|
553 |
+
"epoch": 0.041758241758241756,
|
554 |
+
"grad_norm": 3.541050434112549,
|
555 |
+
"learning_rate": 7.30670581489344e-05,
|
556 |
+
"loss": 0.7779,
|
557 |
+
"step": 76
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 0.04230769230769231,
|
561 |
+
"grad_norm": 3.108454465866089,
|
562 |
+
"learning_rate": 7.233044034264034e-05,
|
563 |
+
"loss": 0.8149,
|
564 |
+
"step": 77
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 0.04285714285714286,
|
568 |
+
"grad_norm": 3.772913932800293,
|
569 |
+
"learning_rate": 7.158771761692464e-05,
|
570 |
+
"loss": 0.7668,
|
571 |
+
"step": 78
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 0.043406593406593405,
|
575 |
+
"grad_norm": 3.0966885089874268,
|
576 |
+
"learning_rate": 7.083909302476453e-05,
|
577 |
+
"loss": 0.8225,
|
578 |
+
"step": 79
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 0.04395604395604396,
|
582 |
+
"grad_norm": 3.7791407108306885,
|
583 |
+
"learning_rate": 7.008477123264848e-05,
|
584 |
+
"loss": 0.8693,
|
585 |
+
"step": 80
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 0.04450549450549451,
|
589 |
+
"grad_norm": 4.253763198852539,
|
590 |
+
"learning_rate": 6.932495846462261e-05,
|
591 |
+
"loss": 1.0137,
|
592 |
+
"step": 81
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 0.045054945054945054,
|
596 |
+
"grad_norm": 3.970787525177002,
|
597 |
+
"learning_rate": 6.855986244591104e-05,
|
598 |
+
"loss": 1.0145,
|
599 |
+
"step": 82
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 0.0456043956043956,
|
603 |
+
"grad_norm": 3.273193597793579,
|
604 |
+
"learning_rate": 6.778969234612584e-05,
|
605 |
+
"loss": 0.8402,
|
606 |
+
"step": 83
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 0.046153846153846156,
|
610 |
+
"grad_norm": 3.246183156967163,
|
611 |
+
"learning_rate": 6.701465872208216e-05,
|
612 |
+
"loss": 0.8381,
|
613 |
+
"step": 84
|
614 |
+
},
|
615 |
+
{
|
616 |
+
"epoch": 0.046703296703296704,
|
617 |
+
"grad_norm": 3.3997747898101807,
|
618 |
+
"learning_rate": 6.623497346023418e-05,
|
619 |
+
"loss": 0.9744,
|
620 |
+
"step": 85
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 0.04725274725274725,
|
624 |
+
"grad_norm": 3.4663801193237305,
|
625 |
+
"learning_rate": 6.545084971874738e-05,
|
626 |
+
"loss": 0.9223,
|
627 |
+
"step": 86
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 0.0478021978021978,
|
631 |
+
"grad_norm": 3.421869993209839,
|
632 |
+
"learning_rate": 6.466250186922325e-05,
|
633 |
+
"loss": 0.9882,
|
634 |
+
"step": 87
|
635 |
+
},
|
636 |
+
{
|
637 |
+
"epoch": 0.04835164835164835,
|
638 |
+
"grad_norm": 2.5848114490509033,
|
639 |
+
"learning_rate": 6.387014543809223e-05,
|
640 |
+
"loss": 0.6518,
|
641 |
+
"step": 88
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 0.0489010989010989,
|
645 |
+
"grad_norm": 4.04249382019043,
|
646 |
+
"learning_rate": 6.307399704769099e-05,
|
647 |
+
"loss": 0.8867,
|
648 |
+
"step": 89
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 0.04945054945054945,
|
652 |
+
"grad_norm": 3.6130316257476807,
|
653 |
+
"learning_rate": 6.227427435703997e-05,
|
654 |
+
"loss": 0.8811,
|
655 |
+
"step": 90
|
656 |
+
},
|
657 |
+
{
|
658 |
+
"epoch": 0.05,
|
659 |
+
"grad_norm": 3.202869176864624,
|
660 |
+
"learning_rate": 6.147119600233758e-05,
|
661 |
+
"loss": 0.6812,
|
662 |
+
"step": 91
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 0.05054945054945055,
|
666 |
+
"grad_norm": 5.957513332366943,
|
667 |
+
"learning_rate": 6.066498153718735e-05,
|
668 |
+
"loss": 0.8074,
|
669 |
+
"step": 92
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 0.0510989010989011,
|
673 |
+
"grad_norm": 9.279909133911133,
|
674 |
+
"learning_rate": 5.985585137257401e-05,
|
675 |
+
"loss": 0.7514,
|
676 |
+
"step": 93
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 0.051648351648351645,
|
680 |
+
"grad_norm": 3.816479206085205,
|
681 |
+
"learning_rate": 5.90440267166055e-05,
|
682 |
+
"loss": 0.7612,
|
683 |
+
"step": 94
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 0.0521978021978022,
|
687 |
+
"grad_norm": 3.6703317165374756,
|
688 |
+
"learning_rate": 5.8229729514036705e-05,
|
689 |
+
"loss": 0.6952,
|
690 |
+
"step": 95
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 0.05274725274725275,
|
694 |
+
"grad_norm": 2.994513988494873,
|
695 |
+
"learning_rate": 5.74131823855921e-05,
|
696 |
+
"loss": 0.5601,
|
697 |
+
"step": 96
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"epoch": 0.053296703296703295,
|
701 |
+
"grad_norm": 3.6805593967437744,
|
702 |
+
"learning_rate": 5.6594608567103456e-05,
|
703 |
+
"loss": 0.7776,
|
704 |
+
"step": 97
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 0.05384615384615385,
|
708 |
+
"grad_norm": 3.7631995677948,
|
709 |
+
"learning_rate": 5.577423184847932e-05,
|
710 |
+
"loss": 0.6875,
|
711 |
+
"step": 98
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 0.0543956043956044,
|
715 |
+
"grad_norm": 4.067095756530762,
|
716 |
+
"learning_rate": 5.495227651252315e-05,
|
717 |
+
"loss": 0.6078,
|
718 |
+
"step": 99
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 0.054945054945054944,
|
722 |
+
"grad_norm": 3.9707226753234863,
|
723 |
+
"learning_rate": 5.4128967273616625e-05,
|
724 |
+
"loss": 0.5355,
|
725 |
+
"step": 100
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 0.054945054945054944,
|
729 |
+
"eval_loss": 0.810309112071991,
|
730 |
+
"eval_runtime": 248.3207,
|
731 |
+
"eval_samples_per_second": 12.347,
|
732 |
+
"eval_steps_per_second": 3.089,
|
733 |
+
"step": 100
|
734 |
}
|
735 |
],
|
736 |
"logging_steps": 1,
|
|
|
759 |
"attributes": {}
|
760 |
}
|
761 |
},
|
762 |
+
"total_flos": 1.46892713361408e+17,
|
763 |
"train_batch_size": 8,
|
764 |
"trial_name": null,
|
765 |
"trial_params": null
|