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 295488936
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:411f23acc11146e6760198e69dd38a6c64eef7907fe30a866d8041e4eaa91e91
|
3 |
size 295488936
|
last-checkpoint/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 150486964
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2c127e5c23dbe84e1ea95179aaba6d299a9f3f8de0f354fcb5cb0f312d701236
|
3 |
size 150486964
|
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:d0c2a303531872d65021a22b95bc0b62a861072952edcb2386cfbc73501e1974
|
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 sha256:0c35f928f7dd9edebe7c94dc66def3d207bbcfc6fb428fd758a6bfcafaf8bae8
|
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":
|
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": 33.219,
|
374 |
"eval_steps_per_second": 8.562,
|
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": 0.16824179887771606,
|
3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-100",
|
4 |
+
"epoch": 1.7467248908296944,
|
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": 33.219,
|
374 |
"eval_steps_per_second": 8.562,
|
375 |
"step": 50
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 0.8908296943231441,
|
379 |
+
"grad_norm": 1.121232271194458,
|
380 |
+
"learning_rate": 8.501086738835843e-05,
|
381 |
+
"loss": 0.3865,
|
382 |
+
"step": 51
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 0.9082969432314411,
|
386 |
+
"grad_norm": 1.3548880815505981,
|
387 |
+
"learning_rate": 8.43120818934367e-05,
|
388 |
+
"loss": 0.493,
|
389 |
+
"step": 52
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 0.925764192139738,
|
393 |
+
"grad_norm": 1.6399530172348022,
|
394 |
+
"learning_rate": 8.360039302777612e-05,
|
395 |
+
"loss": 0.4454,
|
396 |
+
"step": 53
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 0.9432314410480349,
|
400 |
+
"grad_norm": 2.1539204120635986,
|
401 |
+
"learning_rate": 8.28760684284532e-05,
|
402 |
+
"loss": 0.5806,
|
403 |
+
"step": 54
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 0.9606986899563319,
|
407 |
+
"grad_norm": 1.3799574375152588,
|
408 |
+
"learning_rate": 8.213938048432697e-05,
|
409 |
+
"loss": 0.3791,
|
410 |
+
"step": 55
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.9781659388646288,
|
414 |
+
"grad_norm": 1.6386706829071045,
|
415 |
+
"learning_rate": 8.139060623360493e-05,
|
416 |
+
"loss": 0.3788,
|
417 |
+
"step": 56
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.9956331877729258,
|
421 |
+
"grad_norm": 1.8362394571304321,
|
422 |
+
"learning_rate": 8.063002725966015e-05,
|
423 |
+
"loss": 0.3617,
|
424 |
+
"step": 57
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 1.0131004366812226,
|
428 |
+
"grad_norm": 4.955390453338623,
|
429 |
+
"learning_rate": 7.985792958513931e-05,
|
430 |
+
"loss": 0.7963,
|
431 |
+
"step": 58
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 1.0305676855895196,
|
435 |
+
"grad_norm": 1.039722204208374,
|
436 |
+
"learning_rate": 7.907460356440133e-05,
|
437 |
+
"loss": 0.2566,
|
438 |
+
"step": 59
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 1.0480349344978166,
|
442 |
+
"grad_norm": 0.9322420358657837,
|
443 |
+
"learning_rate": 7.828034377432693e-05,
|
444 |
+
"loss": 0.3009,
|
445 |
+
"step": 60
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 1.0655021834061136,
|
449 |
+
"grad_norm": 1.1808615922927856,
|
450 |
+
"learning_rate": 7.74754489035403e-05,
|
451 |
+
"loss": 0.3358,
|
452 |
+
"step": 61
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 1.0829694323144106,
|
456 |
+
"grad_norm": 0.9506165981292725,
|
457 |
+
"learning_rate": 7.666022164008457e-05,
|
458 |
+
"loss": 0.2231,
|
459 |
+
"step": 62
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 1.1004366812227073,
|
463 |
+
"grad_norm": 1.2802693843841553,
|
464 |
+
"learning_rate": 7.583496855759316e-05,
|
465 |
+
"loss": 0.2601,
|
466 |
+
"step": 63
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 1.1179039301310043,
|
470 |
+
"grad_norm": 1.6419092416763306,
|
471 |
+
"learning_rate": 7.500000000000001e-05,
|
472 |
+
"loss": 0.2622,
|
473 |
+
"step": 64
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 1.1353711790393013,
|
477 |
+
"grad_norm": 0.9867280125617981,
|
478 |
+
"learning_rate": 7.415562996483192e-05,
|
479 |
+
"loss": 0.2306,
|
480 |
+
"step": 65
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 1.1528384279475983,
|
484 |
+
"grad_norm": 1.1051852703094482,
|
485 |
+
"learning_rate": 7.330217598512695e-05,
|
486 |
+
"loss": 0.2497,
|
487 |
+
"step": 66
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"epoch": 1.1703056768558953,
|
491 |
+
"grad_norm": 1.6345847845077515,
|
492 |
+
"learning_rate": 7.243995901002312e-05,
|
493 |
+
"loss": 0.2628,
|
494 |
+
"step": 67
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 1.1877729257641922,
|
498 |
+
"grad_norm": 1.4212472438812256,
|
499 |
+
"learning_rate": 7.156930328406268e-05,
|
500 |
+
"loss": 0.2629,
|
501 |
+
"step": 68
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 1.205240174672489,
|
505 |
+
"grad_norm": 1.264844536781311,
|
506 |
+
"learning_rate": 7.069053622525696e-05,
|
507 |
+
"loss": 0.2389,
|
508 |
+
"step": 69
|
509 |
+
},
|
510 |
+
{
|
511 |
+
"epoch": 1.222707423580786,
|
512 |
+
"grad_norm": 1.098765254020691,
|
513 |
+
"learning_rate": 6.980398830195785e-05,
|
514 |
+
"loss": 0.1724,
|
515 |
+
"step": 70
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 1.240174672489083,
|
519 |
+
"grad_norm": 4.439842224121094,
|
520 |
+
"learning_rate": 6.890999290858214e-05,
|
521 |
+
"loss": 0.3221,
|
522 |
+
"step": 71
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 1.25764192139738,
|
526 |
+
"grad_norm": 1.4293755292892456,
|
527 |
+
"learning_rate": 6.800888624023553e-05,
|
528 |
+
"loss": 0.2996,
|
529 |
+
"step": 72
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 1.2751091703056767,
|
533 |
+
"grad_norm": 1.592860460281372,
|
534 |
+
"learning_rate": 6.710100716628344e-05,
|
535 |
+
"loss": 0.2456,
|
536 |
+
"step": 73
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 1.2925764192139737,
|
540 |
+
"grad_norm": 1.2025070190429688,
|
541 |
+
"learning_rate": 6.618669710291606e-05,
|
542 |
+
"loss": 0.2663,
|
543 |
+
"step": 74
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 1.3100436681222707,
|
547 |
+
"grad_norm": 0.9999786019325256,
|
548 |
+
"learning_rate": 6.526629988475567e-05,
|
549 |
+
"loss": 0.2102,
|
550 |
+
"step": 75
|
551 |
+
},
|
552 |
+
{
|
553 |
+
"epoch": 1.3275109170305677,
|
554 |
+
"grad_norm": 1.3882269859313965,
|
555 |
+
"learning_rate": 6.434016163555452e-05,
|
556 |
+
"loss": 0.1725,
|
557 |
+
"step": 76
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 1.3449781659388647,
|
561 |
+
"grad_norm": 1.0446701049804688,
|
562 |
+
"learning_rate": 6.340863063803188e-05,
|
563 |
+
"loss": 0.1511,
|
564 |
+
"step": 77
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 1.3624454148471616,
|
568 |
+
"grad_norm": 1.5679444074630737,
|
569 |
+
"learning_rate": 6.247205720289907e-05,
|
570 |
+
"loss": 0.217,
|
571 |
+
"step": 78
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 1.3799126637554586,
|
575 |
+
"grad_norm": 1.159275770187378,
|
576 |
+
"learning_rate": 6.153079353712201e-05,
|
577 |
+
"loss": 0.142,
|
578 |
+
"step": 79
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 1.3973799126637554,
|
582 |
+
"grad_norm": 1.1023359298706055,
|
583 |
+
"learning_rate": 6.058519361147055e-05,
|
584 |
+
"loss": 0.1504,
|
585 |
+
"step": 80
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 1.4148471615720524,
|
589 |
+
"grad_norm": 1.6043438911437988,
|
590 |
+
"learning_rate": 5.963561302740449e-05,
|
591 |
+
"loss": 0.1497,
|
592 |
+
"step": 81
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 1.4323144104803494,
|
596 |
+
"grad_norm": 1.2015390396118164,
|
597 |
+
"learning_rate": 5.868240888334653e-05,
|
598 |
+
"loss": 0.2159,
|
599 |
+
"step": 82
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 1.4497816593886463,
|
603 |
+
"grad_norm": 1.9150855541229248,
|
604 |
+
"learning_rate": 5.772593964039203e-05,
|
605 |
+
"loss": 0.2409,
|
606 |
+
"step": 83
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 1.467248908296943,
|
610 |
+
"grad_norm": 1.2557482719421387,
|
611 |
+
"learning_rate": 5.6766564987506566e-05,
|
612 |
+
"loss": 0.1594,
|
613 |
+
"step": 84
|
614 |
+
},
|
615 |
+
{
|
616 |
+
"epoch": 1.48471615720524,
|
617 |
+
"grad_norm": 3.442033052444458,
|
618 |
+
"learning_rate": 5.5804645706261514e-05,
|
619 |
+
"loss": 0.1946,
|
620 |
+
"step": 85
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 1.502183406113537,
|
624 |
+
"grad_norm": 1.3177473545074463,
|
625 |
+
"learning_rate": 5.484054353515896e-05,
|
626 |
+
"loss": 0.3011,
|
627 |
+
"step": 86
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 1.519650655021834,
|
631 |
+
"grad_norm": 0.811776340007782,
|
632 |
+
"learning_rate": 5.387462103359655e-05,
|
633 |
+
"loss": 0.1271,
|
634 |
+
"step": 87
|
635 |
+
},
|
636 |
+
{
|
637 |
+
"epoch": 1.537117903930131,
|
638 |
+
"grad_norm": 1.0938807725906372,
|
639 |
+
"learning_rate": 5.290724144552379e-05,
|
640 |
+
"loss": 0.1645,
|
641 |
+
"step": 88
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 1.554585152838428,
|
645 |
+
"grad_norm": 0.7474001049995422,
|
646 |
+
"learning_rate": 5.193876856284085e-05,
|
647 |
+
"loss": 0.1091,
|
648 |
+
"step": 89
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 1.572052401746725,
|
652 |
+
"grad_norm": 1.4519085884094238,
|
653 |
+
"learning_rate": 5.096956658859122e-05,
|
654 |
+
"loss": 0.2083,
|
655 |
+
"step": 90
|
656 |
+
},
|
657 |
+
{
|
658 |
+
"epoch": 1.589519650655022,
|
659 |
+
"grad_norm": 1.1171748638153076,
|
660 |
+
"learning_rate": 5e-05,
|
661 |
+
"loss": 0.1567,
|
662 |
+
"step": 91
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 1.6069868995633187,
|
666 |
+
"grad_norm": 1.226719856262207,
|
667 |
+
"learning_rate": 4.903043341140879e-05,
|
668 |
+
"loss": 0.1468,
|
669 |
+
"step": 92
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 1.6244541484716157,
|
673 |
+
"grad_norm": 1.6665370464324951,
|
674 |
+
"learning_rate": 4.806123143715916e-05,
|
675 |
+
"loss": 0.215,
|
676 |
+
"step": 93
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 1.6419213973799127,
|
680 |
+
"grad_norm": 1.3081082105636597,
|
681 |
+
"learning_rate": 4.709275855447621e-05,
|
682 |
+
"loss": 0.1094,
|
683 |
+
"step": 94
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 1.6593886462882095,
|
687 |
+
"grad_norm": 1.3947356939315796,
|
688 |
+
"learning_rate": 4.612537896640346e-05,
|
689 |
+
"loss": 0.1714,
|
690 |
+
"step": 95
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 1.6768558951965065,
|
694 |
+
"grad_norm": 1.4104937314987183,
|
695 |
+
"learning_rate": 4.515945646484105e-05,
|
696 |
+
"loss": 0.1227,
|
697 |
+
"step": 96
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"epoch": 1.6943231441048034,
|
701 |
+
"grad_norm": 1.774125337600708,
|
702 |
+
"learning_rate": 4.4195354293738484e-05,
|
703 |
+
"loss": 0.152,
|
704 |
+
"step": 97
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 1.7117903930131004,
|
708 |
+
"grad_norm": 2.2607905864715576,
|
709 |
+
"learning_rate": 4.323343501249346e-05,
|
710 |
+
"loss": 0.0859,
|
711 |
+
"step": 98
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 1.7292576419213974,
|
715 |
+
"grad_norm": 1.8278192281723022,
|
716 |
+
"learning_rate": 4.227406035960798e-05,
|
717 |
+
"loss": 0.1364,
|
718 |
+
"step": 99
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 1.7467248908296944,
|
722 |
+
"grad_norm": 1.3324322700500488,
|
723 |
+
"learning_rate": 4.131759111665349e-05,
|
724 |
+
"loss": 0.2195,
|
725 |
+
"step": 100
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 1.7467248908296944,
|
729 |
+
"eval_loss": 0.16824179887771606,
|
730 |
+
"eval_runtime": 2.9465,
|
731 |
+
"eval_samples_per_second": 32.921,
|
732 |
+
"eval_steps_per_second": 8.485,
|
733 |
+
"step": 100
|
734 |
}
|
735 |
],
|
736 |
"logging_steps": 1,
|
|
|
759 |
"attributes": {}
|
760 |
}
|
761 |
},
|
762 |
+
"total_flos": 2.758016755040256e+16,
|
763 |
"train_batch_size": 8,
|
764 |
"trial_name": null,
|
765 |
"trial_params": null
|