Training in progress, step 1000, checkpoint
Browse files
last-checkpoint/model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1304192904
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:50ca524f54edaad2efaf52b5094690e6a44a5385b9e7f53ef2c19f513752a265
|
3 |
size 1304192904
|
last-checkpoint/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 2608620781
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:eec4148b0f8e105171cc96f1d25b9ea52f1a3ccfeb7c98ad54edc804e3b3c50c
|
3 |
size 2608620781
|
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 sha256:6410f39a0e7c645ed67ec28686db1c7ce44af3a9fe7fbe74340514fa7e64b446
|
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:a73fd5a100d4ccdd00ffce46e090807f48fb5f542090f5c0a86653f3b6372be2
|
3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"best_metric": 0.2986587882041931,
|
3 |
"best_model_checkpoint": "./results/checkpoint-180",
|
4 |
-
"epoch":
|
5 |
"eval_steps": 20,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
@@ -407,6 +407,406 @@
|
|
407 |
"eval_samples_per_second": 9.895,
|
408 |
"eval_steps_per_second": 2.522,
|
409 |
"step": 500
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
410 |
}
|
411 |
],
|
412 |
"logging_steps": 20,
|
@@ -426,7 +826,7 @@
|
|
426 |
"attributes": {}
|
427 |
}
|
428 |
},
|
429 |
-
"total_flos":
|
430 |
"train_batch_size": 4,
|
431 |
"trial_name": null,
|
432 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": 0.2986587882041931,
|
3 |
"best_model_checkpoint": "./results/checkpoint-180",
|
4 |
+
"epoch": 3.0211480362537766,
|
5 |
"eval_steps": 20,
|
6 |
+
"global_step": 1000,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
|
|
407 |
"eval_samples_per_second": 9.895,
|
408 |
"eval_steps_per_second": 2.522,
|
409 |
"step": 500
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 1.5709969788519638,
|
413 |
+
"grad_norm": 0.41706299781799316,
|
414 |
+
"learning_rate": 1.3716012084592145e-05,
|
415 |
+
"loss": 0.321,
|
416 |
+
"step": 520
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 1.5709969788519638,
|
420 |
+
"eval_accuracy": 0.8758169934640523,
|
421 |
+
"eval_loss": 0.4749080538749695,
|
422 |
+
"eval_runtime": 16.3975,
|
423 |
+
"eval_samples_per_second": 9.331,
|
424 |
+
"eval_steps_per_second": 2.378,
|
425 |
+
"step": 520
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 1.6314199395770392,
|
429 |
+
"grad_norm": 0.012226684018969536,
|
430 |
+
"learning_rate": 1.3474320241691845e-05,
|
431 |
+
"loss": 0.1871,
|
432 |
+
"step": 540
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 1.6314199395770392,
|
436 |
+
"eval_accuracy": 0.9084967320261438,
|
437 |
+
"eval_loss": 0.4391900300979614,
|
438 |
+
"eval_runtime": 15.3076,
|
439 |
+
"eval_samples_per_second": 9.995,
|
440 |
+
"eval_steps_per_second": 2.548,
|
441 |
+
"step": 540
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 1.691842900302115,
|
445 |
+
"grad_norm": 0.008862942457199097,
|
446 |
+
"learning_rate": 1.3232628398791542e-05,
|
447 |
+
"loss": 0.1654,
|
448 |
+
"step": 560
|
449 |
+
},
|
450 |
+
{
|
451 |
+
"epoch": 1.691842900302115,
|
452 |
+
"eval_accuracy": 0.9084967320261438,
|
453 |
+
"eval_loss": 0.46628066897392273,
|
454 |
+
"eval_runtime": 15.645,
|
455 |
+
"eval_samples_per_second": 9.779,
|
456 |
+
"eval_steps_per_second": 2.493,
|
457 |
+
"step": 560
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 1.7522658610271904,
|
461 |
+
"grad_norm": 0.03276165947318077,
|
462 |
+
"learning_rate": 1.299093655589124e-05,
|
463 |
+
"loss": 0.3166,
|
464 |
+
"step": 580
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 1.7522658610271904,
|
468 |
+
"eval_accuracy": 0.8888888888888888,
|
469 |
+
"eval_loss": 0.5047788619995117,
|
470 |
+
"eval_runtime": 15.5009,
|
471 |
+
"eval_samples_per_second": 9.87,
|
472 |
+
"eval_steps_per_second": 2.516,
|
473 |
+
"step": 580
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 1.8126888217522659,
|
477 |
+
"grad_norm": 0.23161815106868744,
|
478 |
+
"learning_rate": 1.2749244712990937e-05,
|
479 |
+
"loss": 0.222,
|
480 |
+
"step": 600
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 1.8126888217522659,
|
484 |
+
"eval_accuracy": 0.9084967320261438,
|
485 |
+
"eval_loss": 0.4549576938152313,
|
486 |
+
"eval_runtime": 15.4555,
|
487 |
+
"eval_samples_per_second": 9.899,
|
488 |
+
"eval_steps_per_second": 2.523,
|
489 |
+
"step": 600
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 1.8731117824773413,
|
493 |
+
"grad_norm": 343.22900390625,
|
494 |
+
"learning_rate": 1.2507552870090635e-05,
|
495 |
+
"loss": 0.4299,
|
496 |
+
"step": 620
|
497 |
+
},
|
498 |
+
{
|
499 |
+
"epoch": 1.8731117824773413,
|
500 |
+
"eval_accuracy": 0.9084967320261438,
|
501 |
+
"eval_loss": 0.3444612920284271,
|
502 |
+
"eval_runtime": 15.5061,
|
503 |
+
"eval_samples_per_second": 9.867,
|
504 |
+
"eval_steps_per_second": 2.515,
|
505 |
+
"step": 620
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 1.9335347432024168,
|
509 |
+
"grad_norm": 0.07708082348108292,
|
510 |
+
"learning_rate": 1.2265861027190334e-05,
|
511 |
+
"loss": 0.0942,
|
512 |
+
"step": 640
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 1.9335347432024168,
|
516 |
+
"eval_accuracy": 0.9281045751633987,
|
517 |
+
"eval_loss": 0.3734738230705261,
|
518 |
+
"eval_runtime": 15.5297,
|
519 |
+
"eval_samples_per_second": 9.852,
|
520 |
+
"eval_steps_per_second": 2.511,
|
521 |
+
"step": 640
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 1.9939577039274925,
|
525 |
+
"grad_norm": 0.010122493840754032,
|
526 |
+
"learning_rate": 1.2024169184290032e-05,
|
527 |
+
"loss": 0.3991,
|
528 |
+
"step": 660
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 1.9939577039274925,
|
532 |
+
"eval_accuracy": 0.9084967320261438,
|
533 |
+
"eval_loss": 0.3646344840526581,
|
534 |
+
"eval_runtime": 15.4716,
|
535 |
+
"eval_samples_per_second": 9.889,
|
536 |
+
"eval_steps_per_second": 2.521,
|
537 |
+
"step": 660
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 2.054380664652568,
|
541 |
+
"grad_norm": 0.750132143497467,
|
542 |
+
"learning_rate": 1.178247734138973e-05,
|
543 |
+
"loss": 0.0581,
|
544 |
+
"step": 680
|
545 |
+
},
|
546 |
+
{
|
547 |
+
"epoch": 2.054380664652568,
|
548 |
+
"eval_accuracy": 0.9084967320261438,
|
549 |
+
"eval_loss": 0.3526937961578369,
|
550 |
+
"eval_runtime": 15.4654,
|
551 |
+
"eval_samples_per_second": 9.893,
|
552 |
+
"eval_steps_per_second": 2.522,
|
553 |
+
"step": 680
|
554 |
+
},
|
555 |
+
{
|
556 |
+
"epoch": 2.1148036253776437,
|
557 |
+
"grad_norm": 25.176610946655273,
|
558 |
+
"learning_rate": 1.1540785498489427e-05,
|
559 |
+
"loss": 0.2712,
|
560 |
+
"step": 700
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 2.1148036253776437,
|
564 |
+
"eval_accuracy": 0.9019607843137255,
|
565 |
+
"eval_loss": 0.42697274684906006,
|
566 |
+
"eval_runtime": 15.4239,
|
567 |
+
"eval_samples_per_second": 9.92,
|
568 |
+
"eval_steps_per_second": 2.529,
|
569 |
+
"step": 700
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 2.175226586102719,
|
573 |
+
"grad_norm": 0.046931881457567215,
|
574 |
+
"learning_rate": 1.1299093655589124e-05,
|
575 |
+
"loss": 0.0443,
|
576 |
+
"step": 720
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 2.175226586102719,
|
580 |
+
"eval_accuracy": 0.8954248366013072,
|
581 |
+
"eval_loss": 0.5462331771850586,
|
582 |
+
"eval_runtime": 15.4688,
|
583 |
+
"eval_samples_per_second": 9.891,
|
584 |
+
"eval_steps_per_second": 2.521,
|
585 |
+
"step": 720
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 2.2356495468277946,
|
589 |
+
"grad_norm": 0.033700473606586456,
|
590 |
+
"learning_rate": 1.1057401812688822e-05,
|
591 |
+
"loss": 0.3831,
|
592 |
+
"step": 740
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 2.2356495468277946,
|
596 |
+
"eval_accuracy": 0.9215686274509803,
|
597 |
+
"eval_loss": 0.3418585956096649,
|
598 |
+
"eval_runtime": 15.5047,
|
599 |
+
"eval_samples_per_second": 9.868,
|
600 |
+
"eval_steps_per_second": 2.515,
|
601 |
+
"step": 740
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 2.29607250755287,
|
605 |
+
"grad_norm": 0.046377379447221756,
|
606 |
+
"learning_rate": 1.0815709969788521e-05,
|
607 |
+
"loss": 0.2267,
|
608 |
+
"step": 760
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 2.29607250755287,
|
612 |
+
"eval_accuracy": 0.8888888888888888,
|
613 |
+
"eval_loss": 0.4924568831920624,
|
614 |
+
"eval_runtime": 15.5047,
|
615 |
+
"eval_samples_per_second": 9.868,
|
616 |
+
"eval_steps_per_second": 2.515,
|
617 |
+
"step": 760
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 2.3564954682779455,
|
621 |
+
"grad_norm": 9.31714916229248,
|
622 |
+
"learning_rate": 1.0574018126888219e-05,
|
623 |
+
"loss": 0.1821,
|
624 |
+
"step": 780
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 2.3564954682779455,
|
628 |
+
"eval_accuracy": 0.9215686274509803,
|
629 |
+
"eval_loss": 0.3624768853187561,
|
630 |
+
"eval_runtime": 15.502,
|
631 |
+
"eval_samples_per_second": 9.87,
|
632 |
+
"eval_steps_per_second": 2.516,
|
633 |
+
"step": 780
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 2.416918429003021,
|
637 |
+
"grad_norm": 112.68130493164062,
|
638 |
+
"learning_rate": 1.0332326283987916e-05,
|
639 |
+
"loss": 0.2926,
|
640 |
+
"step": 800
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 2.416918429003021,
|
644 |
+
"eval_accuracy": 0.9019607843137255,
|
645 |
+
"eval_loss": 0.3670673370361328,
|
646 |
+
"eval_runtime": 15.4876,
|
647 |
+
"eval_samples_per_second": 9.879,
|
648 |
+
"eval_steps_per_second": 2.518,
|
649 |
+
"step": 800
|
650 |
+
},
|
651 |
+
{
|
652 |
+
"epoch": 2.477341389728097,
|
653 |
+
"grad_norm": 0.23612752556800842,
|
654 |
+
"learning_rate": 1.0090634441087614e-05,
|
655 |
+
"loss": 0.2507,
|
656 |
+
"step": 820
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 2.477341389728097,
|
660 |
+
"eval_accuracy": 0.9019607843137255,
|
661 |
+
"eval_loss": 0.3853074610233307,
|
662 |
+
"eval_runtime": 15.494,
|
663 |
+
"eval_samples_per_second": 9.875,
|
664 |
+
"eval_steps_per_second": 2.517,
|
665 |
+
"step": 820
|
666 |
+
},
|
667 |
+
{
|
668 |
+
"epoch": 2.5377643504531724,
|
669 |
+
"grad_norm": 0.00892715621739626,
|
670 |
+
"learning_rate": 9.848942598187312e-06,
|
671 |
+
"loss": 0.2446,
|
672 |
+
"step": 840
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"epoch": 2.5377643504531724,
|
676 |
+
"eval_accuracy": 0.8954248366013072,
|
677 |
+
"eval_loss": 0.4570922255516052,
|
678 |
+
"eval_runtime": 15.4901,
|
679 |
+
"eval_samples_per_second": 9.877,
|
680 |
+
"eval_steps_per_second": 2.518,
|
681 |
+
"step": 840
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 2.598187311178248,
|
685 |
+
"grad_norm": 0.08465878665447235,
|
686 |
+
"learning_rate": 9.60725075528701e-06,
|
687 |
+
"loss": 0.1926,
|
688 |
+
"step": 860
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 2.598187311178248,
|
692 |
+
"eval_accuracy": 0.8496732026143791,
|
693 |
+
"eval_loss": 0.5435793399810791,
|
694 |
+
"eval_runtime": 15.4883,
|
695 |
+
"eval_samples_per_second": 9.878,
|
696 |
+
"eval_steps_per_second": 2.518,
|
697 |
+
"step": 860
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"epoch": 2.6586102719033233,
|
701 |
+
"grad_norm": 65.41895294189453,
|
702 |
+
"learning_rate": 9.365558912386707e-06,
|
703 |
+
"loss": 0.1725,
|
704 |
+
"step": 880
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 2.6586102719033233,
|
708 |
+
"eval_accuracy": 0.8496732026143791,
|
709 |
+
"eval_loss": 0.6575973629951477,
|
710 |
+
"eval_runtime": 15.4811,
|
711 |
+
"eval_samples_per_second": 9.883,
|
712 |
+
"eval_steps_per_second": 2.519,
|
713 |
+
"step": 880
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 2.719033232628399,
|
717 |
+
"grad_norm": 0.19986489415168762,
|
718 |
+
"learning_rate": 9.123867069486404e-06,
|
719 |
+
"loss": 0.2033,
|
720 |
+
"step": 900
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 2.719033232628399,
|
724 |
+
"eval_accuracy": 0.9019607843137255,
|
725 |
+
"eval_loss": 0.4772132933139801,
|
726 |
+
"eval_runtime": 15.4823,
|
727 |
+
"eval_samples_per_second": 9.882,
|
728 |
+
"eval_steps_per_second": 2.519,
|
729 |
+
"step": 900
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 2.7794561933534743,
|
733 |
+
"grad_norm": 0.02453712560236454,
|
734 |
+
"learning_rate": 8.882175226586104e-06,
|
735 |
+
"loss": 0.0095,
|
736 |
+
"step": 920
|
737 |
+
},
|
738 |
+
{
|
739 |
+
"epoch": 2.7794561933534743,
|
740 |
+
"eval_accuracy": 0.9150326797385621,
|
741 |
+
"eval_loss": 0.41026702523231506,
|
742 |
+
"eval_runtime": 15.4862,
|
743 |
+
"eval_samples_per_second": 9.88,
|
744 |
+
"eval_steps_per_second": 2.518,
|
745 |
+
"step": 920
|
746 |
+
},
|
747 |
+
{
|
748 |
+
"epoch": 2.8398791540785497,
|
749 |
+
"grad_norm": 0.09184593707323074,
|
750 |
+
"learning_rate": 8.640483383685801e-06,
|
751 |
+
"loss": 0.2896,
|
752 |
+
"step": 940
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 2.8398791540785497,
|
756 |
+
"eval_accuracy": 0.9084967320261438,
|
757 |
+
"eval_loss": 0.4332799017429352,
|
758 |
+
"eval_runtime": 15.4949,
|
759 |
+
"eval_samples_per_second": 9.874,
|
760 |
+
"eval_steps_per_second": 2.517,
|
761 |
+
"step": 940
|
762 |
+
},
|
763 |
+
{
|
764 |
+
"epoch": 2.900302114803625,
|
765 |
+
"grad_norm": 88.6507339477539,
|
766 |
+
"learning_rate": 8.398791540785499e-06,
|
767 |
+
"loss": 0.2661,
|
768 |
+
"step": 960
|
769 |
+
},
|
770 |
+
{
|
771 |
+
"epoch": 2.900302114803625,
|
772 |
+
"eval_accuracy": 0.8888888888888888,
|
773 |
+
"eval_loss": 0.5792773962020874,
|
774 |
+
"eval_runtime": 15.4764,
|
775 |
+
"eval_samples_per_second": 9.886,
|
776 |
+
"eval_steps_per_second": 2.52,
|
777 |
+
"step": 960
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 2.9607250755287007,
|
781 |
+
"grad_norm": 0.015309321694076061,
|
782 |
+
"learning_rate": 8.157099697885196e-06,
|
783 |
+
"loss": 0.1338,
|
784 |
+
"step": 980
|
785 |
+
},
|
786 |
+
{
|
787 |
+
"epoch": 2.9607250755287007,
|
788 |
+
"eval_accuracy": 0.8954248366013072,
|
789 |
+
"eval_loss": 0.454254150390625,
|
790 |
+
"eval_runtime": 15.4888,
|
791 |
+
"eval_samples_per_second": 9.878,
|
792 |
+
"eval_steps_per_second": 2.518,
|
793 |
+
"step": 980
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 3.0211480362537766,
|
797 |
+
"grad_norm": 0.06863677501678467,
|
798 |
+
"learning_rate": 7.915407854984894e-06,
|
799 |
+
"loss": 0.0751,
|
800 |
+
"step": 1000
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 3.0211480362537766,
|
804 |
+
"eval_accuracy": 0.8954248366013072,
|
805 |
+
"eval_loss": 0.5028541684150696,
|
806 |
+
"eval_runtime": 15.4598,
|
807 |
+
"eval_samples_per_second": 9.897,
|
808 |
+
"eval_steps_per_second": 2.523,
|
809 |
+
"step": 1000
|
810 |
}
|
811 |
],
|
812 |
"logging_steps": 20,
|
|
|
826 |
"attributes": {}
|
827 |
}
|
828 |
},
|
829 |
+
"total_flos": 3235818588464112.0,
|
830 |
"train_batch_size": 4,
|
831 |
"trial_name": null,
|
832 |
"trial_params": null
|