Training in progress, step 1000, 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 5323528
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3c53e59c2bd584a2174d8768ace772b5d5796aa08166aa25302904cb3a665ff7
|
3 |
size 5323528
|
last-checkpoint/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 10707706
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8ed95370d354bc8f635abaa3992f7d5d462b1bcb514428235550ba0f48b08b85
|
3 |
size 10707706
|
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:aa5f9b3cb2653c573d5d70e945ac9e78ff4b3999c649bc26690d113787889e70
|
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 sha256:74be72e979aeba041a40f5740c89e95223a2d1671e242dd571b2005ebd09a8c1
|
3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "bart_lora_outputs\\checkpoint-
|
4 |
-
"epoch":
|
5 |
"eval_steps": 100,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
@@ -347,13 +347,353 @@
|
|
347 |
"eval_samples_per_second": 190.861,
|
348 |
"eval_steps_per_second": 23.96,
|
349 |
"step": 500
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
350 |
}
|
351 |
],
|
352 |
"logging_steps": 10,
|
353 |
"max_steps": 6130,
|
354 |
"num_train_epochs": 10,
|
355 |
"save_steps": 500,
|
356 |
-
"total_flos":
|
357 |
"trial_name": null,
|
358 |
"trial_params": null
|
359 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.48665139079093933,
|
3 |
+
"best_model_checkpoint": "bart_lora_outputs\\checkpoint-1000",
|
4 |
+
"epoch": 1.631321370309951,
|
5 |
"eval_steps": 100,
|
6 |
+
"global_step": 1000,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
|
|
347 |
"eval_samples_per_second": 190.861,
|
348 |
"eval_steps_per_second": 23.96,
|
349 |
"step": 500
|
350 |
+
},
|
351 |
+
{
|
352 |
+
"epoch": 0.83,
|
353 |
+
"learning_rate": 0.0009982238010657195,
|
354 |
+
"loss": 0.6725,
|
355 |
+
"step": 510
|
356 |
+
},
|
357 |
+
{
|
358 |
+
"epoch": 0.85,
|
359 |
+
"learning_rate": 0.0009964476021314388,
|
360 |
+
"loss": 0.6612,
|
361 |
+
"step": 520
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 0.86,
|
365 |
+
"learning_rate": 0.000994671403197158,
|
366 |
+
"loss": 0.6202,
|
367 |
+
"step": 530
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.88,
|
371 |
+
"learning_rate": 0.0009928952042628776,
|
372 |
+
"loss": 0.6085,
|
373 |
+
"step": 540
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.9,
|
377 |
+
"learning_rate": 0.0009911190053285969,
|
378 |
+
"loss": 0.6023,
|
379 |
+
"step": 550
|
380 |
+
},
|
381 |
+
{
|
382 |
+
"epoch": 0.91,
|
383 |
+
"learning_rate": 0.0009893428063943162,
|
384 |
+
"loss": 0.6209,
|
385 |
+
"step": 560
|
386 |
+
},
|
387 |
+
{
|
388 |
+
"epoch": 0.93,
|
389 |
+
"learning_rate": 0.0009875666074600357,
|
390 |
+
"loss": 0.6128,
|
391 |
+
"step": 570
|
392 |
+
},
|
393 |
+
{
|
394 |
+
"epoch": 0.95,
|
395 |
+
"learning_rate": 0.000985790408525755,
|
396 |
+
"loss": 0.5971,
|
397 |
+
"step": 580
|
398 |
+
},
|
399 |
+
{
|
400 |
+
"epoch": 0.96,
|
401 |
+
"learning_rate": 0.0009840142095914742,
|
402 |
+
"loss": 0.6028,
|
403 |
+
"step": 590
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 0.98,
|
407 |
+
"learning_rate": 0.0009822380106571937,
|
408 |
+
"loss": 0.6105,
|
409 |
+
"step": 600
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.98,
|
413 |
+
"eval_loss": 0.527148425579071,
|
414 |
+
"eval_runtime": 6.0982,
|
415 |
+
"eval_samples_per_second": 192.024,
|
416 |
+
"eval_steps_per_second": 24.105,
|
417 |
+
"step": 600
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 1.0,
|
421 |
+
"learning_rate": 0.000980461811722913,
|
422 |
+
"loss": 0.6101,
|
423 |
+
"step": 610
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 1.01,
|
427 |
+
"learning_rate": 0.0009786856127886323,
|
428 |
+
"loss": 0.5349,
|
429 |
+
"step": 620
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 1.03,
|
433 |
+
"learning_rate": 0.0009769094138543518,
|
434 |
+
"loss": 0.5903,
|
435 |
+
"step": 630
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 1.04,
|
439 |
+
"learning_rate": 0.0009751332149200711,
|
440 |
+
"loss": 0.6033,
|
441 |
+
"step": 640
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 1.06,
|
445 |
+
"learning_rate": 0.0009733570159857904,
|
446 |
+
"loss": 0.544,
|
447 |
+
"step": 650
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 1.08,
|
451 |
+
"learning_rate": 0.0009715808170515098,
|
452 |
+
"loss": 0.5582,
|
453 |
+
"step": 660
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 1.09,
|
457 |
+
"learning_rate": 0.0009698046181172292,
|
458 |
+
"loss": 0.5488,
|
459 |
+
"step": 670
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 1.11,
|
463 |
+
"learning_rate": 0.0009680284191829485,
|
464 |
+
"loss": 0.5799,
|
465 |
+
"step": 680
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 1.13,
|
469 |
+
"learning_rate": 0.0009662522202486678,
|
470 |
+
"loss": 0.5857,
|
471 |
+
"step": 690
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 1.14,
|
475 |
+
"learning_rate": 0.0009644760213143872,
|
476 |
+
"loss": 0.5857,
|
477 |
+
"step": 700
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 1.14,
|
481 |
+
"eval_loss": 0.5239382982254028,
|
482 |
+
"eval_runtime": 6.2471,
|
483 |
+
"eval_samples_per_second": 187.448,
|
484 |
+
"eval_steps_per_second": 23.531,
|
485 |
+
"step": 700
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 1.16,
|
489 |
+
"learning_rate": 0.0009626998223801065,
|
490 |
+
"loss": 0.5289,
|
491 |
+
"step": 710
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 1.17,
|
495 |
+
"learning_rate": 0.0009609236234458259,
|
496 |
+
"loss": 0.6082,
|
497 |
+
"step": 720
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 1.19,
|
501 |
+
"learning_rate": 0.0009591474245115453,
|
502 |
+
"loss": 0.5837,
|
503 |
+
"step": 730
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 1.21,
|
507 |
+
"learning_rate": 0.0009573712255772646,
|
508 |
+
"loss": 0.5571,
|
509 |
+
"step": 740
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 1.22,
|
513 |
+
"learning_rate": 0.000955595026642984,
|
514 |
+
"loss": 0.5948,
|
515 |
+
"step": 750
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 1.24,
|
519 |
+
"learning_rate": 0.0009538188277087034,
|
520 |
+
"loss": 0.5455,
|
521 |
+
"step": 760
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 1.26,
|
525 |
+
"learning_rate": 0.0009520426287744227,
|
526 |
+
"loss": 0.5858,
|
527 |
+
"step": 770
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 1.27,
|
531 |
+
"learning_rate": 0.0009502664298401421,
|
532 |
+
"loss": 0.5289,
|
533 |
+
"step": 780
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 1.29,
|
537 |
+
"learning_rate": 0.0009484902309058615,
|
538 |
+
"loss": 0.6011,
|
539 |
+
"step": 790
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 1.31,
|
543 |
+
"learning_rate": 0.0009467140319715807,
|
544 |
+
"loss": 0.5841,
|
545 |
+
"step": 800
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 1.31,
|
549 |
+
"eval_loss": 0.5005862712860107,
|
550 |
+
"eval_runtime": 5.9494,
|
551 |
+
"eval_samples_per_second": 196.827,
|
552 |
+
"eval_steps_per_second": 24.708,
|
553 |
+
"step": 800
|
554 |
+
},
|
555 |
+
{
|
556 |
+
"epoch": 1.32,
|
557 |
+
"learning_rate": 0.0009449378330373001,
|
558 |
+
"loss": 0.5403,
|
559 |
+
"step": 810
|
560 |
+
},
|
561 |
+
{
|
562 |
+
"epoch": 1.34,
|
563 |
+
"learning_rate": 0.0009431616341030196,
|
564 |
+
"loss": 0.558,
|
565 |
+
"step": 820
|
566 |
+
},
|
567 |
+
{
|
568 |
+
"epoch": 1.35,
|
569 |
+
"learning_rate": 0.0009413854351687389,
|
570 |
+
"loss": 0.5435,
|
571 |
+
"step": 830
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 1.37,
|
575 |
+
"learning_rate": 0.0009396092362344583,
|
576 |
+
"loss": 0.5341,
|
577 |
+
"step": 840
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 1.39,
|
581 |
+
"learning_rate": 0.0009378330373001777,
|
582 |
+
"loss": 0.5398,
|
583 |
+
"step": 850
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 1.4,
|
587 |
+
"learning_rate": 0.000936056838365897,
|
588 |
+
"loss": 0.5548,
|
589 |
+
"step": 860
|
590 |
+
},
|
591 |
+
{
|
592 |
+
"epoch": 1.42,
|
593 |
+
"learning_rate": 0.0009342806394316164,
|
594 |
+
"loss": 0.5438,
|
595 |
+
"step": 870
|
596 |
+
},
|
597 |
+
{
|
598 |
+
"epoch": 1.44,
|
599 |
+
"learning_rate": 0.0009325044404973358,
|
600 |
+
"loss": 0.5845,
|
601 |
+
"step": 880
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 1.45,
|
605 |
+
"learning_rate": 0.0009307282415630552,
|
606 |
+
"loss": 0.5146,
|
607 |
+
"step": 890
|
608 |
+
},
|
609 |
+
{
|
610 |
+
"epoch": 1.47,
|
611 |
+
"learning_rate": 0.0009289520426287745,
|
612 |
+
"loss": 0.5274,
|
613 |
+
"step": 900
|
614 |
+
},
|
615 |
+
{
|
616 |
+
"epoch": 1.47,
|
617 |
+
"eval_loss": 0.49163827300071716,
|
618 |
+
"eval_runtime": 6.0349,
|
619 |
+
"eval_samples_per_second": 194.04,
|
620 |
+
"eval_steps_per_second": 24.359,
|
621 |
+
"step": 900
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 1.48,
|
625 |
+
"learning_rate": 0.0009271758436944939,
|
626 |
+
"loss": 0.5999,
|
627 |
+
"step": 910
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 1.5,
|
631 |
+
"learning_rate": 0.0009253996447602132,
|
632 |
+
"loss": 0.5798,
|
633 |
+
"step": 920
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 1.52,
|
637 |
+
"learning_rate": 0.0009236234458259325,
|
638 |
+
"loss": 0.5465,
|
639 |
+
"step": 930
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 1.53,
|
643 |
+
"learning_rate": 0.0009218472468916519,
|
644 |
+
"loss": 0.5752,
|
645 |
+
"step": 940
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 1.55,
|
649 |
+
"learning_rate": 0.0009200710479573713,
|
650 |
+
"loss": 0.5544,
|
651 |
+
"step": 950
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 1.57,
|
655 |
+
"learning_rate": 0.0009182948490230906,
|
656 |
+
"loss": 0.5576,
|
657 |
+
"step": 960
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 1.58,
|
661 |
+
"learning_rate": 0.00091651865008881,
|
662 |
+
"loss": 0.5351,
|
663 |
+
"step": 970
|
664 |
+
},
|
665 |
+
{
|
666 |
+
"epoch": 1.6,
|
667 |
+
"learning_rate": 0.0009147424511545294,
|
668 |
+
"loss": 0.5584,
|
669 |
+
"step": 980
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 1.62,
|
673 |
+
"learning_rate": 0.0009129662522202487,
|
674 |
+
"loss": 0.5191,
|
675 |
+
"step": 990
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 1.63,
|
679 |
+
"learning_rate": 0.0009111900532859681,
|
680 |
+
"loss": 0.5304,
|
681 |
+
"step": 1000
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 1.63,
|
685 |
+
"eval_loss": 0.48665139079093933,
|
686 |
+
"eval_runtime": 5.92,
|
687 |
+
"eval_samples_per_second": 197.803,
|
688 |
+
"eval_steps_per_second": 24.831,
|
689 |
+
"step": 1000
|
690 |
}
|
691 |
],
|
692 |
"logging_steps": 10,
|
693 |
"max_steps": 6130,
|
694 |
"num_train_epochs": 10,
|
695 |
"save_steps": 500,
|
696 |
+
"total_flos": 1883435087757312.0,
|
697 |
"trial_name": null,
|
698 |
"trial_params": null
|
699 |
}
|