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 332316480
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:972aa9ffe87080f27071031d0e4d226dffe8f3ed6fbff6743ae8a659ec8ab968
|
3 |
size 332316480
|
last-checkpoint/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 169157892
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:17f24c0296a81f84cf38b6c10994df2d8d2d5bea05eb21e5ea6ae4aeae9b1d22
|
3 |
size 169157892
|
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:d0e394433f831db42905c4a4dcb8562be06e854e5b31c169d95b91d32afffc57
|
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": 1.
|
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": 21.654,
|
374 |
"eval_steps_per_second": 5.479,
|
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": 1.5486623048782349,
|
3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-100",
|
4 |
+
"epoch": 1.015228426395939,
|
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": 21.654,
|
374 |
"eval_steps_per_second": 5.479,
|
375 |
"step": 50
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 0.5177664974619289,
|
379 |
+
"grad_norm": 0.5438342690467834,
|
380 |
+
"learning_rate": 8.894386393810563e-05,
|
381 |
+
"loss": 1.6741,
|
382 |
+
"step": 51
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 0.5279187817258884,
|
386 |
+
"grad_norm": 0.480343222618103,
|
387 |
+
"learning_rate": 8.842005554284296e-05,
|
388 |
+
"loss": 1.6306,
|
389 |
+
"step": 52
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 0.5380710659898477,
|
393 |
+
"grad_norm": 0.4987044036388397,
|
394 |
+
"learning_rate": 8.788574348801675e-05,
|
395 |
+
"loss": 1.6827,
|
396 |
+
"step": 53
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 0.5482233502538071,
|
400 |
+
"grad_norm": 0.5006952881813049,
|
401 |
+
"learning_rate": 8.73410738492077e-05,
|
402 |
+
"loss": 1.7046,
|
403 |
+
"step": 54
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 0.5583756345177665,
|
407 |
+
"grad_norm": 0.5399014949798584,
|
408 |
+
"learning_rate": 8.678619553365659e-05,
|
409 |
+
"loss": 1.6806,
|
410 |
+
"step": 55
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.5685279187817259,
|
414 |
+
"grad_norm": 0.5678799152374268,
|
415 |
+
"learning_rate": 8.622126023955446e-05,
|
416 |
+
"loss": 1.7275,
|
417 |
+
"step": 56
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.5786802030456852,
|
421 |
+
"grad_norm": 0.5736947059631348,
|
422 |
+
"learning_rate": 8.564642241456986e-05,
|
423 |
+
"loss": 1.8071,
|
424 |
+
"step": 57
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 0.5888324873096447,
|
428 |
+
"grad_norm": 0.5423876047134399,
|
429 |
+
"learning_rate": 8.506183921362443e-05,
|
430 |
+
"loss": 1.6724,
|
431 |
+
"step": 58
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 0.5989847715736041,
|
435 |
+
"grad_norm": 0.6047144532203674,
|
436 |
+
"learning_rate": 8.44676704559283e-05,
|
437 |
+
"loss": 1.7872,
|
438 |
+
"step": 59
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 0.6091370558375635,
|
442 |
+
"grad_norm": 0.5819637179374695,
|
443 |
+
"learning_rate": 8.386407858128706e-05,
|
444 |
+
"loss": 1.7783,
|
445 |
+
"step": 60
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 0.6192893401015228,
|
449 |
+
"grad_norm": 0.6512382626533508,
|
450 |
+
"learning_rate": 8.32512286056924e-05,
|
451 |
+
"loss": 1.6646,
|
452 |
+
"step": 61
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.6294416243654822,
|
456 |
+
"grad_norm": 0.6138646602630615,
|
457 |
+
"learning_rate": 8.262928807620843e-05,
|
458 |
+
"loss": 1.7131,
|
459 |
+
"step": 62
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.6395939086294417,
|
463 |
+
"grad_norm": 0.6422168016433716,
|
464 |
+
"learning_rate": 8.199842702516583e-05,
|
465 |
+
"loss": 1.6838,
|
466 |
+
"step": 63
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 0.649746192893401,
|
470 |
+
"grad_norm": 0.6840230226516724,
|
471 |
+
"learning_rate": 8.135881792367686e-05,
|
472 |
+
"loss": 1.7402,
|
473 |
+
"step": 64
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 0.6598984771573604,
|
477 |
+
"grad_norm": 0.6549532413482666,
|
478 |
+
"learning_rate": 8.07106356344834e-05,
|
479 |
+
"loss": 1.6616,
|
480 |
+
"step": 65
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 0.6700507614213198,
|
484 |
+
"grad_norm": 0.742430567741394,
|
485 |
+
"learning_rate": 8.005405736415126e-05,
|
486 |
+
"loss": 1.6679,
|
487 |
+
"step": 66
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"epoch": 0.6802030456852792,
|
491 |
+
"grad_norm": 0.7295668721199036,
|
492 |
+
"learning_rate": 7.938926261462366e-05,
|
493 |
+
"loss": 1.6294,
|
494 |
+
"step": 67
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 0.6903553299492385,
|
498 |
+
"grad_norm": 0.8265715837478638,
|
499 |
+
"learning_rate": 7.871643313414718e-05,
|
500 |
+
"loss": 1.8901,
|
501 |
+
"step": 68
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 0.700507614213198,
|
505 |
+
"grad_norm": 0.7593281269073486,
|
506 |
+
"learning_rate": 7.803575286758364e-05,
|
507 |
+
"loss": 1.5688,
|
508 |
+
"step": 69
|
509 |
+
},
|
510 |
+
{
|
511 |
+
"epoch": 0.7106598984771574,
|
512 |
+
"grad_norm": 0.8952975869178772,
|
513 |
+
"learning_rate": 7.734740790612136e-05,
|
514 |
+
"loss": 1.7755,
|
515 |
+
"step": 70
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 0.7208121827411168,
|
519 |
+
"grad_norm": 1.0053350925445557,
|
520 |
+
"learning_rate": 7.66515864363997e-05,
|
521 |
+
"loss": 1.5932,
|
522 |
+
"step": 71
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 0.7309644670050761,
|
526 |
+
"grad_norm": 0.9705185294151306,
|
527 |
+
"learning_rate": 7.594847868906076e-05,
|
528 |
+
"loss": 1.5989,
|
529 |
+
"step": 72
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 0.7411167512690355,
|
533 |
+
"grad_norm": 0.4911041557788849,
|
534 |
+
"learning_rate": 7.52382768867422e-05,
|
535 |
+
"loss": 1.708,
|
536 |
+
"step": 73
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 0.751269035532995,
|
540 |
+
"grad_norm": 0.5251993536949158,
|
541 |
+
"learning_rate": 7.452117519152542e-05,
|
542 |
+
"loss": 1.8025,
|
543 |
+
"step": 74
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 0.7614213197969543,
|
547 |
+
"grad_norm": 0.5147970914840698,
|
548 |
+
"learning_rate": 7.379736965185368e-05,
|
549 |
+
"loss": 1.5758,
|
550 |
+
"step": 75
|
551 |
+
},
|
552 |
+
{
|
553 |
+
"epoch": 0.7715736040609137,
|
554 |
+
"grad_norm": 0.5723939538002014,
|
555 |
+
"learning_rate": 7.30670581489344e-05,
|
556 |
+
"loss": 1.7717,
|
557 |
+
"step": 76
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 0.7817258883248731,
|
561 |
+
"grad_norm": 0.5487803816795349,
|
562 |
+
"learning_rate": 7.233044034264034e-05,
|
563 |
+
"loss": 1.6682,
|
564 |
+
"step": 77
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 0.7918781725888325,
|
568 |
+
"grad_norm": 0.5720694065093994,
|
569 |
+
"learning_rate": 7.158771761692464e-05,
|
570 |
+
"loss": 1.7009,
|
571 |
+
"step": 78
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 0.8020304568527918,
|
575 |
+
"grad_norm": 0.5712814927101135,
|
576 |
+
"learning_rate": 7.083909302476453e-05,
|
577 |
+
"loss": 1.6973,
|
578 |
+
"step": 79
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 0.8121827411167513,
|
582 |
+
"grad_norm": 0.5587448477745056,
|
583 |
+
"learning_rate": 7.008477123264848e-05,
|
584 |
+
"loss": 1.5849,
|
585 |
+
"step": 80
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 0.8223350253807107,
|
589 |
+
"grad_norm": 0.6082424521446228,
|
590 |
+
"learning_rate": 6.932495846462261e-05,
|
591 |
+
"loss": 1.7704,
|
592 |
+
"step": 81
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 0.8324873096446701,
|
596 |
+
"grad_norm": 0.6438080072402954,
|
597 |
+
"learning_rate": 6.855986244591104e-05,
|
598 |
+
"loss": 1.7454,
|
599 |
+
"step": 82
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 0.8426395939086294,
|
603 |
+
"grad_norm": 0.6118745803833008,
|
604 |
+
"learning_rate": 6.778969234612584e-05,
|
605 |
+
"loss": 1.5767,
|
606 |
+
"step": 83
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 0.8527918781725888,
|
610 |
+
"grad_norm": 0.6005804538726807,
|
611 |
+
"learning_rate": 6.701465872208216e-05,
|
612 |
+
"loss": 1.5711,
|
613 |
+
"step": 84
|
614 |
+
},
|
615 |
+
{
|
616 |
+
"epoch": 0.8629441624365483,
|
617 |
+
"grad_norm": 0.6292843222618103,
|
618 |
+
"learning_rate": 6.623497346023418e-05,
|
619 |
+
"loss": 1.5878,
|
620 |
+
"step": 85
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 0.8730964467005076,
|
624 |
+
"grad_norm": 0.6168345808982849,
|
625 |
+
"learning_rate": 6.545084971874738e-05,
|
626 |
+
"loss": 1.4827,
|
627 |
+
"step": 86
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 0.883248730964467,
|
631 |
+
"grad_norm": 0.6699876189231873,
|
632 |
+
"learning_rate": 6.466250186922325e-05,
|
633 |
+
"loss": 1.6753,
|
634 |
+
"step": 87
|
635 |
+
},
|
636 |
+
{
|
637 |
+
"epoch": 0.8934010152284264,
|
638 |
+
"grad_norm": 0.7486642003059387,
|
639 |
+
"learning_rate": 6.387014543809223e-05,
|
640 |
+
"loss": 1.5591,
|
641 |
+
"step": 88
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 0.9035532994923858,
|
645 |
+
"grad_norm": 0.716096818447113,
|
646 |
+
"learning_rate": 6.307399704769099e-05,
|
647 |
+
"loss": 1.5256,
|
648 |
+
"step": 89
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 0.9137055837563451,
|
652 |
+
"grad_norm": 0.6980071663856506,
|
653 |
+
"learning_rate": 6.227427435703997e-05,
|
654 |
+
"loss": 1.6128,
|
655 |
+
"step": 90
|
656 |
+
},
|
657 |
+
{
|
658 |
+
"epoch": 0.9238578680203046,
|
659 |
+
"grad_norm": 0.776879072189331,
|
660 |
+
"learning_rate": 6.147119600233758e-05,
|
661 |
+
"loss": 1.5798,
|
662 |
+
"step": 91
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 0.934010152284264,
|
666 |
+
"grad_norm": 0.8649686574935913,
|
667 |
+
"learning_rate": 6.066498153718735e-05,
|
668 |
+
"loss": 1.6465,
|
669 |
+
"step": 92
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 0.9441624365482234,
|
673 |
+
"grad_norm": 0.8168870210647583,
|
674 |
+
"learning_rate": 5.985585137257401e-05,
|
675 |
+
"loss": 1.7388,
|
676 |
+
"step": 93
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 0.9543147208121827,
|
680 |
+
"grad_norm": 0.836371123790741,
|
681 |
+
"learning_rate": 5.90440267166055e-05,
|
682 |
+
"loss": 1.5316,
|
683 |
+
"step": 94
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 0.9644670050761421,
|
687 |
+
"grad_norm": 0.975714385509491,
|
688 |
+
"learning_rate": 5.8229729514036705e-05,
|
689 |
+
"loss": 1.6221,
|
690 |
+
"step": 95
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 0.9746192893401016,
|
694 |
+
"grad_norm": 1.0654964447021484,
|
695 |
+
"learning_rate": 5.74131823855921e-05,
|
696 |
+
"loss": 1.6136,
|
697 |
+
"step": 96
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"epoch": 0.9847715736040609,
|
701 |
+
"grad_norm": 0.6085041165351868,
|
702 |
+
"learning_rate": 5.6594608567103456e-05,
|
703 |
+
"loss": 1.6456,
|
704 |
+
"step": 97
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 0.9949238578680203,
|
708 |
+
"grad_norm": 0.7240885496139526,
|
709 |
+
"learning_rate": 5.577423184847932e-05,
|
710 |
+
"loss": 1.5469,
|
711 |
+
"step": 98
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 1.0050761421319796,
|
715 |
+
"grad_norm": 1.5985159873962402,
|
716 |
+
"learning_rate": 5.495227651252315e-05,
|
717 |
+
"loss": 2.3111,
|
718 |
+
"step": 99
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 1.015228426395939,
|
722 |
+
"grad_norm": 0.5017366409301758,
|
723 |
+
"learning_rate": 5.4128967273616625e-05,
|
724 |
+
"loss": 1.5656,
|
725 |
+
"step": 100
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 1.015228426395939,
|
729 |
+
"eval_loss": 1.5486623048782349,
|
730 |
+
"eval_runtime": 7.6734,
|
731 |
+
"eval_samples_per_second": 21.633,
|
732 |
+
"eval_steps_per_second": 5.473,
|
733 |
+
"step": 100
|
734 |
}
|
735 |
],
|
736 |
"logging_steps": 1,
|
|
|
759 |
"attributes": {}
|
760 |
}
|
761 |
},
|
762 |
+
"total_flos": 4.2084252647424e+16,
|
763 |
"train_batch_size": 8,
|
764 |
"trial_name": null,
|
765 |
"trial_params": null
|