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 1157746040
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:617397a66998dc85aaacf57470b8976595c3ab24410abfd384397d96cda45668
|
3 |
size 1157746040
|
last-checkpoint/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 588699796
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:99d3391a74912a1055ddf55ee1d159dc9dd510b2592b6cad4f65f72f114ae299
|
3 |
size 588699796
|
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 sha256:2cfb78e63dd0caace9942911d22dceeb62fc651302b1631639b026a0672f1883
|
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 sha256:49ec0190ac34c757a155eb68c88baf326e3bb9c4f0972c60aacd4f72225da731
|
3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"best_metric": 3.
|
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": 6.13,
|
374 |
"eval_steps_per_second": 1.542,
|
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": 3.017237663269043,
|
3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-100",
|
4 |
+
"epoch": 1.0309278350515463,
|
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": 6.13,
|
374 |
"eval_steps_per_second": 1.542,
|
375 |
"step": 50
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 0.5257731958762887,
|
379 |
+
"grad_norm": 0.47260257601737976,
|
380 |
+
"learning_rate": 4.4471931969052816e-05,
|
381 |
+
"loss": 2.815,
|
382 |
+
"step": 51
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 0.5360824742268041,
|
386 |
+
"grad_norm": 0.43616193532943726,
|
387 |
+
"learning_rate": 4.421002777142148e-05,
|
388 |
+
"loss": 2.8286,
|
389 |
+
"step": 52
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 0.5463917525773195,
|
393 |
+
"grad_norm": 0.4014701843261719,
|
394 |
+
"learning_rate": 4.3942871744008374e-05,
|
395 |
+
"loss": 2.8379,
|
396 |
+
"step": 53
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 0.5567010309278351,
|
400 |
+
"grad_norm": 0.39639467000961304,
|
401 |
+
"learning_rate": 4.367053692460385e-05,
|
402 |
+
"loss": 2.9016,
|
403 |
+
"step": 54
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 0.5670103092783505,
|
407 |
+
"grad_norm": 0.381337970495224,
|
408 |
+
"learning_rate": 4.3393097766828293e-05,
|
409 |
+
"loss": 2.8124,
|
410 |
+
"step": 55
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.5773195876288659,
|
414 |
+
"grad_norm": 0.4028090536594391,
|
415 |
+
"learning_rate": 4.311063011977723e-05,
|
416 |
+
"loss": 2.9316,
|
417 |
+
"step": 56
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.5876288659793815,
|
421 |
+
"grad_norm": 0.42682573199272156,
|
422 |
+
"learning_rate": 4.282321120728493e-05,
|
423 |
+
"loss": 2.8443,
|
424 |
+
"step": 57
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 0.5979381443298969,
|
428 |
+
"grad_norm": 0.44584202766418457,
|
429 |
+
"learning_rate": 4.2530919606812216e-05,
|
430 |
+
"loss": 2.9408,
|
431 |
+
"step": 58
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 0.6082474226804123,
|
435 |
+
"grad_norm": 0.433085173368454,
|
436 |
+
"learning_rate": 4.223383522796415e-05,
|
437 |
+
"loss": 2.9357,
|
438 |
+
"step": 59
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 0.6185567010309279,
|
442 |
+
"grad_norm": 0.47807031869888306,
|
443 |
+
"learning_rate": 4.193203929064353e-05,
|
444 |
+
"loss": 3.019,
|
445 |
+
"step": 60
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 0.6288659793814433,
|
449 |
+
"grad_norm": 0.49546951055526733,
|
450 |
+
"learning_rate": 4.16256143028462e-05,
|
451 |
+
"loss": 3.0494,
|
452 |
+
"step": 61
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.6391752577319587,
|
456 |
+
"grad_norm": 0.5444744825363159,
|
457 |
+
"learning_rate": 4.131464403810422e-05,
|
458 |
+
"loss": 2.9607,
|
459 |
+
"step": 62
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.6494845360824743,
|
463 |
+
"grad_norm": 0.5479447841644287,
|
464 |
+
"learning_rate": 4.099921351258292e-05,
|
465 |
+
"loss": 2.8932,
|
466 |
+
"step": 63
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 0.6597938144329897,
|
470 |
+
"grad_norm": 0.5946363806724548,
|
471 |
+
"learning_rate": 4.067940896183843e-05,
|
472 |
+
"loss": 3.009,
|
473 |
+
"step": 64
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 0.6701030927835051,
|
477 |
+
"grad_norm": 0.6165184378623962,
|
478 |
+
"learning_rate": 4.03553178172417e-05,
|
479 |
+
"loss": 3.0396,
|
480 |
+
"step": 65
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 0.6804123711340206,
|
484 |
+
"grad_norm": 0.6681923270225525,
|
485 |
+
"learning_rate": 4.002702868207563e-05,
|
486 |
+
"loss": 3.0034,
|
487 |
+
"step": 66
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"epoch": 0.6907216494845361,
|
491 |
+
"grad_norm": 0.8056145906448364,
|
492 |
+
"learning_rate": 3.969463130731183e-05,
|
493 |
+
"loss": 3.2141,
|
494 |
+
"step": 67
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 0.7010309278350515,
|
498 |
+
"grad_norm": 0.8759458661079407,
|
499 |
+
"learning_rate": 3.935821656707359e-05,
|
500 |
+
"loss": 3.1521,
|
501 |
+
"step": 68
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 0.711340206185567,
|
505 |
+
"grad_norm": 1.1017142534255981,
|
506 |
+
"learning_rate": 3.901787643379182e-05,
|
507 |
+
"loss": 3.0594,
|
508 |
+
"step": 69
|
509 |
+
},
|
510 |
+
{
|
511 |
+
"epoch": 0.7216494845360825,
|
512 |
+
"grad_norm": 1.3815213441848755,
|
513 |
+
"learning_rate": 3.867370395306068e-05,
|
514 |
+
"loss": 3.0674,
|
515 |
+
"step": 70
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 0.7319587628865979,
|
519 |
+
"grad_norm": 1.998239278793335,
|
520 |
+
"learning_rate": 3.832579321819985e-05,
|
521 |
+
"loss": 3.2075,
|
522 |
+
"step": 71
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 0.7422680412371134,
|
526 |
+
"grad_norm": 3.7883167266845703,
|
527 |
+
"learning_rate": 3.797423934453038e-05,
|
528 |
+
"loss": 3.6778,
|
529 |
+
"step": 72
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 0.7525773195876289,
|
533 |
+
"grad_norm": 0.4328075349330902,
|
534 |
+
"learning_rate": 3.76191384433711e-05,
|
535 |
+
"loss": 2.7459,
|
536 |
+
"step": 73
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 0.7628865979381443,
|
540 |
+
"grad_norm": 0.45698049664497375,
|
541 |
+
"learning_rate": 3.726058759576271e-05,
|
542 |
+
"loss": 2.9859,
|
543 |
+
"step": 74
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 0.7731958762886598,
|
547 |
+
"grad_norm": 0.438618004322052,
|
548 |
+
"learning_rate": 3.689868482592684e-05,
|
549 |
+
"loss": 2.7904,
|
550 |
+
"step": 75
|
551 |
+
},
|
552 |
+
{
|
553 |
+
"epoch": 0.7835051546391752,
|
554 |
+
"grad_norm": 0.5066232681274414,
|
555 |
+
"learning_rate": 3.65335290744672e-05,
|
556 |
+
"loss": 2.7998,
|
557 |
+
"step": 76
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 0.7938144329896907,
|
561 |
+
"grad_norm": 0.46536940336227417,
|
562 |
+
"learning_rate": 3.616522017132017e-05,
|
563 |
+
"loss": 2.9379,
|
564 |
+
"step": 77
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 0.8041237113402062,
|
568 |
+
"grad_norm": 0.42527785897254944,
|
569 |
+
"learning_rate": 3.579385880846232e-05,
|
570 |
+
"loss": 2.8253,
|
571 |
+
"step": 78
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 0.8144329896907216,
|
575 |
+
"grad_norm": 0.42742273211479187,
|
576 |
+
"learning_rate": 3.5419546512382266e-05,
|
577 |
+
"loss": 2.8514,
|
578 |
+
"step": 79
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 0.8247422680412371,
|
582 |
+
"grad_norm": 0.4061543047428131,
|
583 |
+
"learning_rate": 3.504238561632424e-05,
|
584 |
+
"loss": 2.9048,
|
585 |
+
"step": 80
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 0.8350515463917526,
|
589 |
+
"grad_norm": 0.4020075500011444,
|
590 |
+
"learning_rate": 3.4662479232311306e-05,
|
591 |
+
"loss": 2.8037,
|
592 |
+
"step": 81
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 0.845360824742268,
|
596 |
+
"grad_norm": 0.42477673292160034,
|
597 |
+
"learning_rate": 3.427993122295552e-05,
|
598 |
+
"loss": 2.978,
|
599 |
+
"step": 82
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 0.8556701030927835,
|
603 |
+
"grad_norm": 0.42732954025268555,
|
604 |
+
"learning_rate": 3.389484617306292e-05,
|
605 |
+
"loss": 2.8408,
|
606 |
+
"step": 83
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 0.865979381443299,
|
610 |
+
"grad_norm": 0.4450121819972992,
|
611 |
+
"learning_rate": 3.350732936104108e-05,
|
612 |
+
"loss": 2.8482,
|
613 |
+
"step": 84
|
614 |
+
},
|
615 |
+
{
|
616 |
+
"epoch": 0.8762886597938144,
|
617 |
+
"grad_norm": 0.47379016876220703,
|
618 |
+
"learning_rate": 3.311748673011709e-05,
|
619 |
+
"loss": 3.1114,
|
620 |
+
"step": 85
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 0.8865979381443299,
|
624 |
+
"grad_norm": 0.5056093335151672,
|
625 |
+
"learning_rate": 3.272542485937369e-05,
|
626 |
+
"loss": 2.899,
|
627 |
+
"step": 86
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 0.8969072164948454,
|
631 |
+
"grad_norm": 0.5079435706138611,
|
632 |
+
"learning_rate": 3.2331250934611624e-05,
|
633 |
+
"loss": 2.9127,
|
634 |
+
"step": 87
|
635 |
+
},
|
636 |
+
{
|
637 |
+
"epoch": 0.9072164948453608,
|
638 |
+
"grad_norm": 0.528727114200592,
|
639 |
+
"learning_rate": 3.1935072719046115e-05,
|
640 |
+
"loss": 2.8429,
|
641 |
+
"step": 88
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 0.9175257731958762,
|
645 |
+
"grad_norm": 0.6188112497329712,
|
646 |
+
"learning_rate": 3.1536998523845494e-05,
|
647 |
+
"loss": 2.9843,
|
648 |
+
"step": 89
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 0.9278350515463918,
|
652 |
+
"grad_norm": 0.6579887270927429,
|
653 |
+
"learning_rate": 3.1137137178519985e-05,
|
654 |
+
"loss": 3.0106,
|
655 |
+
"step": 90
|
656 |
+
},
|
657 |
+
{
|
658 |
+
"epoch": 0.9381443298969072,
|
659 |
+
"grad_norm": 0.6882231831550598,
|
660 |
+
"learning_rate": 3.073559800116879e-05,
|
661 |
+
"loss": 2.8984,
|
662 |
+
"step": 91
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 0.9484536082474226,
|
666 |
+
"grad_norm": 0.7555760145187378,
|
667 |
+
"learning_rate": 3.0332490768593675e-05,
|
668 |
+
"loss": 2.9194,
|
669 |
+
"step": 92
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 0.9587628865979382,
|
673 |
+
"grad_norm": 0.8831885457038879,
|
674 |
+
"learning_rate": 2.9927925686287006e-05,
|
675 |
+
"loss": 3.1264,
|
676 |
+
"step": 93
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 0.9690721649484536,
|
680 |
+
"grad_norm": 1.096960425376892,
|
681 |
+
"learning_rate": 2.952201335830275e-05,
|
682 |
+
"loss": 3.1721,
|
683 |
+
"step": 94
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 0.979381443298969,
|
687 |
+
"grad_norm": 1.495573878288269,
|
688 |
+
"learning_rate": 2.9114864757018352e-05,
|
689 |
+
"loss": 3.2052,
|
690 |
+
"step": 95
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 0.9896907216494846,
|
694 |
+
"grad_norm": 2.9404430389404297,
|
695 |
+
"learning_rate": 2.870659119279605e-05,
|
696 |
+
"loss": 3.5505,
|
697 |
+
"step": 96
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"epoch": 1.0,
|
701 |
+
"grad_norm": 0.5354474782943726,
|
702 |
+
"learning_rate": 2.8297304283551728e-05,
|
703 |
+
"loss": 2.838,
|
704 |
+
"step": 97
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 1.0103092783505154,
|
708 |
+
"grad_norm": 0.4110664129257202,
|
709 |
+
"learning_rate": 2.788711592423966e-05,
|
710 |
+
"loss": 2.8808,
|
711 |
+
"step": 98
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 1.0206185567010309,
|
715 |
+
"grad_norm": 0.41403889656066895,
|
716 |
+
"learning_rate": 2.7476138256261575e-05,
|
717 |
+
"loss": 2.7885,
|
718 |
+
"step": 99
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 1.0309278350515463,
|
722 |
+
"grad_norm": 0.39670178294181824,
|
723 |
+
"learning_rate": 2.7064483636808313e-05,
|
724 |
+
"loss": 2.7802,
|
725 |
+
"step": 100
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 1.0309278350515463,
|
729 |
+
"eval_loss": 3.017237663269043,
|
730 |
+
"eval_runtime": 26.5947,
|
731 |
+
"eval_samples_per_second": 6.129,
|
732 |
+
"eval_steps_per_second": 1.542,
|
733 |
+
"step": 100
|
734 |
}
|
735 |
],
|
736 |
"logging_steps": 1,
|
|
|
759 |
"attributes": {}
|
760 |
}
|
761 |
},
|
762 |
+
"total_flos": 3.420645735215923e+17,
|
763 |
"train_batch_size": 8,
|
764 |
"trial_name": null,
|
765 |
"trial_params": null
|