Kerem P
commited on
Commit
·
f18fc82
1
Parent(s):
23ed661
End of training
Browse files- all_results.json +10 -10
- eval_results.json +6 -6
- train_results.json +5 -5
- trainer_state.json +642 -66
all_results.json
CHANGED
@@ -1,14 +1,14 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_f1": 0.
|
4 |
-
"eval_loss":
|
5 |
-
"eval_runtime":
|
6 |
"eval_samples": 1916,
|
7 |
-
"eval_samples_per_second":
|
8 |
-
"eval_steps_per_second": 1.
|
9 |
-
"train_loss":
|
10 |
-
"train_runtime":
|
11 |
"train_samples": 5743,
|
12 |
-
"train_samples_per_second":
|
13 |
-
"train_steps_per_second": 0.
|
14 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"eval_f1": 0.0,
|
4 |
+
"eval_loss": 0.34448280930519104,
|
5 |
+
"eval_runtime": 20.531,
|
6 |
"eval_samples": 1916,
|
7 |
+
"eval_samples_per_second": 93.322,
|
8 |
+
"eval_steps_per_second": 1.461,
|
9 |
+
"train_loss": 0.3510875488058106,
|
10 |
+
"train_runtime": 3949.5247,
|
11 |
"train_samples": 5743,
|
12 |
+
"train_samples_per_second": 14.541,
|
13 |
+
"train_steps_per_second": 0.909
|
14 |
}
|
eval_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_f1": 0.
|
4 |
-
"eval_loss":
|
5 |
-
"eval_runtime":
|
6 |
"eval_samples": 1916,
|
7 |
-
"eval_samples_per_second":
|
8 |
-
"eval_steps_per_second": 1.
|
9 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"eval_f1": 0.0,
|
4 |
+
"eval_loss": 0.34448280930519104,
|
5 |
+
"eval_runtime": 20.531,
|
6 |
"eval_samples": 1916,
|
7 |
+
"eval_samples_per_second": 93.322,
|
8 |
+
"eval_steps_per_second": 1.461
|
9 |
}
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"train_loss":
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 5743,
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"train_loss": 0.3510875488058106,
|
4 |
+
"train_runtime": 3949.5247,
|
5 |
"train_samples": 5743,
|
6 |
+
"train_samples_per_second": 14.541,
|
7 |
+
"train_steps_per_second": 0.909
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
5 |
"eval_steps": 500,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
@@ -531,123 +531,699 @@
|
|
531 |
"step": 1500
|
532 |
},
|
533 |
{
|
534 |
-
"epoch":
|
535 |
-
"learning_rate":
|
536 |
-
"loss":
|
537 |
"step": 1520
|
538 |
},
|
539 |
{
|
540 |
-
"epoch":
|
541 |
-
"learning_rate":
|
542 |
-
"loss":
|
543 |
"step": 1540
|
544 |
},
|
545 |
{
|
546 |
-
"epoch":
|
547 |
-
"learning_rate":
|
548 |
-
"loss":
|
549 |
"step": 1560
|
550 |
},
|
551 |
{
|
552 |
-
"epoch":
|
553 |
-
"learning_rate":
|
554 |
-
"loss": 0.
|
555 |
"step": 1580
|
556 |
},
|
557 |
{
|
558 |
-
"epoch":
|
559 |
-
"learning_rate":
|
560 |
-
"loss": 0.
|
561 |
"step": 1600
|
562 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
563 |
{
|
564 |
"epoch": 9.0,
|
565 |
-
"eval_f1": 0.
|
566 |
-
"eval_loss":
|
567 |
-
"eval_runtime":
|
568 |
-
"eval_samples_per_second":
|
569 |
-
"eval_steps_per_second": 1.
|
570 |
-
"step":
|
571 |
},
|
572 |
{
|
573 |
"epoch": 9.03,
|
574 |
-
"learning_rate":
|
575 |
-
"loss": 0.
|
576 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
577 |
},
|
578 |
{
|
579 |
"epoch": 9.14,
|
580 |
-
"learning_rate":
|
581 |
-
"loss": 0.
|
582 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
583 |
},
|
584 |
{
|
585 |
"epoch": 9.25,
|
586 |
-
"learning_rate":
|
587 |
-
"loss": 0.
|
588 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
589 |
},
|
590 |
{
|
591 |
"epoch": 9.36,
|
592 |
-
"learning_rate":
|
593 |
-
"loss": 0.
|
594 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
595 |
},
|
596 |
{
|
597 |
"epoch": 9.47,
|
598 |
-
"learning_rate":
|
599 |
-
"loss": 0.
|
600 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
601 |
},
|
602 |
{
|
603 |
"epoch": 9.58,
|
604 |
-
"learning_rate":
|
605 |
-
"loss": 0.
|
606 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
607 |
},
|
608 |
{
|
609 |
"epoch": 9.69,
|
610 |
-
"learning_rate":
|
611 |
-
"loss": 0.
|
612 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
613 |
},
|
614 |
{
|
615 |
"epoch": 9.81,
|
616 |
-
"learning_rate":
|
617 |
-
"loss": 0.
|
618 |
-
"step":
|
619 |
},
|
620 |
{
|
621 |
-
"epoch": 9.
|
622 |
-
"learning_rate":
|
623 |
-
"loss": 0.
|
624 |
-
"step":
|
625 |
},
|
626 |
{
|
627 |
-
"epoch": 9.
|
628 |
-
"
|
629 |
-
"
|
630 |
-
"
|
631 |
-
"eval_samples_per_second": 83.672,
|
632 |
-
"eval_steps_per_second": 1.31,
|
633 |
-
"step": 1790
|
634 |
},
|
635 |
{
|
636 |
"epoch": 9.97,
|
637 |
-
"
|
638 |
-
"
|
639 |
-
"
|
640 |
-
|
641 |
-
|
642 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
643 |
}
|
644 |
],
|
645 |
"logging_steps": 20,
|
646 |
-
"max_steps":
|
647 |
"num_input_tokens_seen": 0,
|
648 |
"num_train_epochs": 10,
|
649 |
"save_steps": 500,
|
650 |
-
"total_flos":
|
651 |
"train_batch_size": 2,
|
652 |
"trial_name": null,
|
653 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 10.0,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 3590,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
|
|
531 |
"step": 1500
|
532 |
},
|
533 |
{
|
534 |
+
"epoch": 4.23,
|
535 |
+
"learning_rate": 0.001,
|
536 |
+
"loss": 18.7223,
|
537 |
"step": 1520
|
538 |
},
|
539 |
{
|
540 |
+
"epoch": 4.29,
|
541 |
+
"learning_rate": 0.001,
|
542 |
+
"loss": 5.5701,
|
543 |
"step": 1540
|
544 |
},
|
545 |
{
|
546 |
+
"epoch": 4.35,
|
547 |
+
"learning_rate": 0.001,
|
548 |
+
"loss": 1.2935,
|
549 |
"step": 1560
|
550 |
},
|
551 |
{
|
552 |
+
"epoch": 4.4,
|
553 |
+
"learning_rate": 0.001,
|
554 |
+
"loss": 0.6161,
|
555 |
"step": 1580
|
556 |
},
|
557 |
{
|
558 |
+
"epoch": 4.46,
|
559 |
+
"learning_rate": 0.001,
|
560 |
+
"loss": 0.757,
|
561 |
"step": 1600
|
562 |
},
|
563 |
+
{
|
564 |
+
"epoch": 4.51,
|
565 |
+
"learning_rate": 0.001,
|
566 |
+
"loss": 0.6241,
|
567 |
+
"step": 1620
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 4.57,
|
571 |
+
"learning_rate": 0.001,
|
572 |
+
"loss": 0.5211,
|
573 |
+
"step": 1640
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 4.62,
|
577 |
+
"learning_rate": 0.001,
|
578 |
+
"loss": 0.4467,
|
579 |
+
"step": 1660
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 4.68,
|
583 |
+
"learning_rate": 0.001,
|
584 |
+
"loss": 0.424,
|
585 |
+
"step": 1680
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 4.74,
|
589 |
+
"learning_rate": 0.001,
|
590 |
+
"loss": 0.3741,
|
591 |
+
"step": 1700
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 4.79,
|
595 |
+
"learning_rate": 0.001,
|
596 |
+
"loss": 0.3276,
|
597 |
+
"step": 1720
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 4.85,
|
601 |
+
"learning_rate": 0.001,
|
602 |
+
"loss": 0.3692,
|
603 |
+
"step": 1740
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 4.9,
|
607 |
+
"learning_rate": 0.001,
|
608 |
+
"loss": 0.3626,
|
609 |
+
"step": 1760
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 4.96,
|
613 |
+
"learning_rate": 0.001,
|
614 |
+
"loss": 0.3698,
|
615 |
+
"step": 1780
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 5.0,
|
619 |
+
"eval_f1": 0.0,
|
620 |
+
"eval_loss": 0.3513816297054291,
|
621 |
+
"eval_runtime": 20.8512,
|
622 |
+
"eval_samples_per_second": 91.889,
|
623 |
+
"eval_steps_per_second": 1.439,
|
624 |
+
"step": 1795
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 5.01,
|
628 |
+
"learning_rate": 0.001,
|
629 |
+
"loss": 0.3672,
|
630 |
+
"step": 1800
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 5.07,
|
634 |
+
"learning_rate": 0.001,
|
635 |
+
"loss": 0.3879,
|
636 |
+
"step": 1820
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 5.13,
|
640 |
+
"learning_rate": 0.001,
|
641 |
+
"loss": 0.458,
|
642 |
+
"step": 1840
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 5.18,
|
646 |
+
"learning_rate": 0.001,
|
647 |
+
"loss": 0.3949,
|
648 |
+
"step": 1860
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 5.24,
|
652 |
+
"learning_rate": 0.001,
|
653 |
+
"loss": 0.372,
|
654 |
+
"step": 1880
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 5.29,
|
658 |
+
"learning_rate": 0.001,
|
659 |
+
"loss": 0.3578,
|
660 |
+
"step": 1900
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 5.35,
|
664 |
+
"learning_rate": 0.001,
|
665 |
+
"loss": 0.3906,
|
666 |
+
"step": 1920
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 5.4,
|
670 |
+
"learning_rate": 0.001,
|
671 |
+
"loss": 0.3888,
|
672 |
+
"step": 1940
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"epoch": 5.46,
|
676 |
+
"learning_rate": 0.001,
|
677 |
+
"loss": 0.4049,
|
678 |
+
"step": 1960
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 5.52,
|
682 |
+
"learning_rate": 0.001,
|
683 |
+
"loss": 0.3692,
|
684 |
+
"step": 1980
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 5.57,
|
688 |
+
"learning_rate": 0.001,
|
689 |
+
"loss": 0.3299,
|
690 |
+
"step": 2000
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 5.63,
|
694 |
+
"learning_rate": 0.001,
|
695 |
+
"loss": 0.3714,
|
696 |
+
"step": 2020
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 5.68,
|
700 |
+
"learning_rate": 0.001,
|
701 |
+
"loss": 0.3423,
|
702 |
+
"step": 2040
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 5.74,
|
706 |
+
"learning_rate": 0.001,
|
707 |
+
"loss": 0.3534,
|
708 |
+
"step": 2060
|
709 |
+
},
|
710 |
+
{
|
711 |
+
"epoch": 5.79,
|
712 |
+
"learning_rate": 0.001,
|
713 |
+
"loss": 0.3426,
|
714 |
+
"step": 2080
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 5.85,
|
718 |
+
"learning_rate": 0.001,
|
719 |
+
"loss": 0.3684,
|
720 |
+
"step": 2100
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 5.91,
|
724 |
+
"learning_rate": 0.001,
|
725 |
+
"loss": 0.3472,
|
726 |
+
"step": 2120
|
727 |
+
},
|
728 |
+
{
|
729 |
+
"epoch": 5.96,
|
730 |
+
"learning_rate": 0.001,
|
731 |
+
"loss": 0.299,
|
732 |
+
"step": 2140
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 6.0,
|
736 |
+
"eval_f1": 0.0,
|
737 |
+
"eval_loss": 0.3469391465187073,
|
738 |
+
"eval_runtime": 20.5335,
|
739 |
+
"eval_samples_per_second": 93.311,
|
740 |
+
"eval_steps_per_second": 1.461,
|
741 |
+
"step": 2154
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 6.02,
|
745 |
+
"learning_rate": 0.001,
|
746 |
+
"loss": 0.3336,
|
747 |
+
"step": 2160
|
748 |
+
},
|
749 |
+
{
|
750 |
+
"epoch": 6.07,
|
751 |
+
"learning_rate": 0.001,
|
752 |
+
"loss": 0.4366,
|
753 |
+
"step": 2180
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 6.13,
|
757 |
+
"learning_rate": 0.001,
|
758 |
+
"loss": 0.3709,
|
759 |
+
"step": 2200
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 6.18,
|
763 |
+
"learning_rate": 0.001,
|
764 |
+
"loss": 0.3357,
|
765 |
+
"step": 2220
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 6.24,
|
769 |
+
"learning_rate": 0.001,
|
770 |
+
"loss": 0.4034,
|
771 |
+
"step": 2240
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 6.3,
|
775 |
+
"learning_rate": 0.001,
|
776 |
+
"loss": 0.3868,
|
777 |
+
"step": 2260
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 6.35,
|
781 |
+
"learning_rate": 0.001,
|
782 |
+
"loss": 0.3328,
|
783 |
+
"step": 2280
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 6.41,
|
787 |
+
"learning_rate": 0.001,
|
788 |
+
"loss": 0.3974,
|
789 |
+
"step": 2300
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 6.46,
|
793 |
+
"learning_rate": 0.001,
|
794 |
+
"loss": 0.3707,
|
795 |
+
"step": 2320
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 6.52,
|
799 |
+
"learning_rate": 0.001,
|
800 |
+
"loss": 0.3753,
|
801 |
+
"step": 2340
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 6.57,
|
805 |
+
"learning_rate": 0.001,
|
806 |
+
"loss": 0.3255,
|
807 |
+
"step": 2360
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 6.63,
|
811 |
+
"learning_rate": 0.001,
|
812 |
+
"loss": 0.4284,
|
813 |
+
"step": 2380
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 6.69,
|
817 |
+
"learning_rate": 0.001,
|
818 |
+
"loss": 0.3699,
|
819 |
+
"step": 2400
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 6.74,
|
823 |
+
"learning_rate": 0.001,
|
824 |
+
"loss": 0.3705,
|
825 |
+
"step": 2420
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 6.8,
|
829 |
+
"learning_rate": 0.001,
|
830 |
+
"loss": 0.2841,
|
831 |
+
"step": 2440
|
832 |
+
},
|
833 |
+
{
|
834 |
+
"epoch": 6.85,
|
835 |
+
"learning_rate": 0.001,
|
836 |
+
"loss": 0.2687,
|
837 |
+
"step": 2460
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 6.91,
|
841 |
+
"learning_rate": 0.001,
|
842 |
+
"loss": 0.3294,
|
843 |
+
"step": 2480
|
844 |
+
},
|
845 |
+
{
|
846 |
+
"epoch": 6.96,
|
847 |
+
"learning_rate": 0.001,
|
848 |
+
"loss": 0.3531,
|
849 |
+
"step": 2500
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 7.0,
|
853 |
+
"eval_f1": 0.0,
|
854 |
+
"eval_loss": 0.3420043885707855,
|
855 |
+
"eval_runtime": 20.5195,
|
856 |
+
"eval_samples_per_second": 93.374,
|
857 |
+
"eval_steps_per_second": 1.462,
|
858 |
+
"step": 2513
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 7.02,
|
862 |
+
"learning_rate": 0.001,
|
863 |
+
"loss": 0.3396,
|
864 |
+
"step": 2520
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 7.08,
|
868 |
+
"learning_rate": 0.001,
|
869 |
+
"loss": 0.3824,
|
870 |
+
"step": 2540
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 7.13,
|
874 |
+
"learning_rate": 0.001,
|
875 |
+
"loss": 0.2518,
|
876 |
+
"step": 2560
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 7.19,
|
880 |
+
"learning_rate": 0.001,
|
881 |
+
"loss": 0.3822,
|
882 |
+
"step": 2580
|
883 |
+
},
|
884 |
+
{
|
885 |
+
"epoch": 7.24,
|
886 |
+
"learning_rate": 0.001,
|
887 |
+
"loss": 0.3969,
|
888 |
+
"step": 2600
|
889 |
+
},
|
890 |
+
{
|
891 |
+
"epoch": 7.3,
|
892 |
+
"learning_rate": 0.001,
|
893 |
+
"loss": 0.2551,
|
894 |
+
"step": 2620
|
895 |
+
},
|
896 |
+
{
|
897 |
+
"epoch": 7.35,
|
898 |
+
"learning_rate": 0.001,
|
899 |
+
"loss": 0.3387,
|
900 |
+
"step": 2640
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 7.41,
|
904 |
+
"learning_rate": 0.001,
|
905 |
+
"loss": 0.3761,
|
906 |
+
"step": 2660
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 7.47,
|
910 |
+
"learning_rate": 0.001,
|
911 |
+
"loss": 0.3899,
|
912 |
+
"step": 2680
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 7.52,
|
916 |
+
"learning_rate": 0.001,
|
917 |
+
"loss": 0.3691,
|
918 |
+
"step": 2700
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 7.58,
|
922 |
+
"learning_rate": 0.001,
|
923 |
+
"loss": 0.3172,
|
924 |
+
"step": 2720
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 7.63,
|
928 |
+
"learning_rate": 0.001,
|
929 |
+
"loss": 0.3358,
|
930 |
+
"step": 2740
|
931 |
+
},
|
932 |
+
{
|
933 |
+
"epoch": 7.69,
|
934 |
+
"learning_rate": 0.001,
|
935 |
+
"loss": 0.3459,
|
936 |
+
"step": 2760
|
937 |
+
},
|
938 |
+
{
|
939 |
+
"epoch": 7.74,
|
940 |
+
"learning_rate": 0.001,
|
941 |
+
"loss": 0.3347,
|
942 |
+
"step": 2780
|
943 |
+
},
|
944 |
+
{
|
945 |
+
"epoch": 7.8,
|
946 |
+
"learning_rate": 0.001,
|
947 |
+
"loss": 0.3459,
|
948 |
+
"step": 2800
|
949 |
+
},
|
950 |
+
{
|
951 |
+
"epoch": 7.86,
|
952 |
+
"learning_rate": 0.001,
|
953 |
+
"loss": 0.3797,
|
954 |
+
"step": 2820
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 7.91,
|
958 |
+
"learning_rate": 0.001,
|
959 |
+
"loss": 0.3721,
|
960 |
+
"step": 2840
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 7.97,
|
964 |
+
"learning_rate": 0.001,
|
965 |
+
"loss": 0.3892,
|
966 |
+
"step": 2860
|
967 |
+
},
|
968 |
+
{
|
969 |
+
"epoch": 8.0,
|
970 |
+
"eval_f1": 0.0,
|
971 |
+
"eval_loss": 0.34283891320228577,
|
972 |
+
"eval_runtime": 20.5477,
|
973 |
+
"eval_samples_per_second": 93.247,
|
974 |
+
"eval_steps_per_second": 1.46,
|
975 |
+
"step": 2872
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 8.02,
|
979 |
+
"learning_rate": 0.001,
|
980 |
+
"loss": 0.3234,
|
981 |
+
"step": 2880
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 8.08,
|
985 |
+
"learning_rate": 0.001,
|
986 |
+
"loss": 0.3979,
|
987 |
+
"step": 2900
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 8.13,
|
991 |
+
"learning_rate": 0.001,
|
992 |
+
"loss": 0.4032,
|
993 |
+
"step": 2920
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 8.19,
|
997 |
+
"learning_rate": 0.001,
|
998 |
+
"loss": 0.3787,
|
999 |
+
"step": 2940
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 8.25,
|
1003 |
+
"learning_rate": 0.001,
|
1004 |
+
"loss": 0.3144,
|
1005 |
+
"step": 2960
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 8.3,
|
1009 |
+
"learning_rate": 0.001,
|
1010 |
+
"loss": 0.4071,
|
1011 |
+
"step": 2980
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 8.36,
|
1015 |
+
"learning_rate": 0.001,
|
1016 |
+
"loss": 0.3192,
|
1017 |
+
"step": 3000
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 8.41,
|
1021 |
+
"learning_rate": 0.001,
|
1022 |
+
"loss": 0.3194,
|
1023 |
+
"step": 3020
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 8.47,
|
1027 |
+
"learning_rate": 0.001,
|
1028 |
+
"loss": 0.3468,
|
1029 |
+
"step": 3040
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 8.52,
|
1033 |
+
"learning_rate": 0.001,
|
1034 |
+
"loss": 0.325,
|
1035 |
+
"step": 3060
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 8.58,
|
1039 |
+
"learning_rate": 0.001,
|
1040 |
+
"loss": 0.3631,
|
1041 |
+
"step": 3080
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 8.64,
|
1045 |
+
"learning_rate": 0.001,
|
1046 |
+
"loss": 0.3464,
|
1047 |
+
"step": 3100
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 8.69,
|
1051 |
+
"learning_rate": 0.001,
|
1052 |
+
"loss": 0.3378,
|
1053 |
+
"step": 3120
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 8.75,
|
1057 |
+
"learning_rate": 0.001,
|
1058 |
+
"loss": 0.3808,
|
1059 |
+
"step": 3140
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 8.8,
|
1063 |
+
"learning_rate": 0.001,
|
1064 |
+
"loss": 0.3668,
|
1065 |
+
"step": 3160
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 8.86,
|
1069 |
+
"learning_rate": 0.001,
|
1070 |
+
"loss": 0.3045,
|
1071 |
+
"step": 3180
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 8.91,
|
1075 |
+
"learning_rate": 0.001,
|
1076 |
+
"loss": 0.2805,
|
1077 |
+
"step": 3200
|
1078 |
+
},
|
1079 |
+
{
|
1080 |
+
"epoch": 8.97,
|
1081 |
+
"learning_rate": 0.001,
|
1082 |
+
"loss": 0.3706,
|
1083 |
+
"step": 3220
|
1084 |
+
},
|
1085 |
{
|
1086 |
"epoch": 9.0,
|
1087 |
+
"eval_f1": 0.0,
|
1088 |
+
"eval_loss": 0.3420598804950714,
|
1089 |
+
"eval_runtime": 20.5266,
|
1090 |
+
"eval_samples_per_second": 93.342,
|
1091 |
+
"eval_steps_per_second": 1.462,
|
1092 |
+
"step": 3231
|
1093 |
},
|
1094 |
{
|
1095 |
"epoch": 9.03,
|
1096 |
+
"learning_rate": 0.001,
|
1097 |
+
"loss": 0.3502,
|
1098 |
+
"step": 3240
|
1099 |
+
},
|
1100 |
+
{
|
1101 |
+
"epoch": 9.08,
|
1102 |
+
"learning_rate": 0.001,
|
1103 |
+
"loss": 0.3414,
|
1104 |
+
"step": 3260
|
1105 |
},
|
1106 |
{
|
1107 |
"epoch": 9.14,
|
1108 |
+
"learning_rate": 0.001,
|
1109 |
+
"loss": 0.4037,
|
1110 |
+
"step": 3280
|
1111 |
+
},
|
1112 |
+
{
|
1113 |
+
"epoch": 9.19,
|
1114 |
+
"learning_rate": 0.001,
|
1115 |
+
"loss": 0.3548,
|
1116 |
+
"step": 3300
|
1117 |
},
|
1118 |
{
|
1119 |
"epoch": 9.25,
|
1120 |
+
"learning_rate": 0.001,
|
1121 |
+
"loss": 0.3426,
|
1122 |
+
"step": 3320
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 9.3,
|
1126 |
+
"learning_rate": 0.001,
|
1127 |
+
"loss": 0.3614,
|
1128 |
+
"step": 3340
|
1129 |
},
|
1130 |
{
|
1131 |
"epoch": 9.36,
|
1132 |
+
"learning_rate": 0.001,
|
1133 |
+
"loss": 0.2505,
|
1134 |
+
"step": 3360
|
1135 |
+
},
|
1136 |
+
{
|
1137 |
+
"epoch": 9.42,
|
1138 |
+
"learning_rate": 0.001,
|
1139 |
+
"loss": 0.402,
|
1140 |
+
"step": 3380
|
1141 |
},
|
1142 |
{
|
1143 |
"epoch": 9.47,
|
1144 |
+
"learning_rate": 0.001,
|
1145 |
+
"loss": 0.3029,
|
1146 |
+
"step": 3400
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 9.53,
|
1150 |
+
"learning_rate": 0.001,
|
1151 |
+
"loss": 0.2799,
|
1152 |
+
"step": 3420
|
1153 |
},
|
1154 |
{
|
1155 |
"epoch": 9.58,
|
1156 |
+
"learning_rate": 0.001,
|
1157 |
+
"loss": 0.3046,
|
1158 |
+
"step": 3440
|
1159 |
+
},
|
1160 |
+
{
|
1161 |
+
"epoch": 9.64,
|
1162 |
+
"learning_rate": 0.001,
|
1163 |
+
"loss": 0.3707,
|
1164 |
+
"step": 3460
|
1165 |
},
|
1166 |
{
|
1167 |
"epoch": 9.69,
|
1168 |
+
"learning_rate": 0.001,
|
1169 |
+
"loss": 0.3417,
|
1170 |
+
"step": 3480
|
1171 |
+
},
|
1172 |
+
{
|
1173 |
+
"epoch": 9.75,
|
1174 |
+
"learning_rate": 0.001,
|
1175 |
+
"loss": 0.3826,
|
1176 |
+
"step": 3500
|
1177 |
},
|
1178 |
{
|
1179 |
"epoch": 9.81,
|
1180 |
+
"learning_rate": 0.001,
|
1181 |
+
"loss": 0.3658,
|
1182 |
+
"step": 3520
|
1183 |
},
|
1184 |
{
|
1185 |
+
"epoch": 9.86,
|
1186 |
+
"learning_rate": 0.001,
|
1187 |
+
"loss": 0.3185,
|
1188 |
+
"step": 3540
|
1189 |
},
|
1190 |
{
|
1191 |
+
"epoch": 9.92,
|
1192 |
+
"learning_rate": 0.001,
|
1193 |
+
"loss": 0.3596,
|
1194 |
+
"step": 3560
|
|
|
|
|
|
|
1195 |
},
|
1196 |
{
|
1197 |
"epoch": 9.97,
|
1198 |
+
"learning_rate": 0.001,
|
1199 |
+
"loss": 0.3863,
|
1200 |
+
"step": 3580
|
1201 |
+
},
|
1202 |
+
{
|
1203 |
+
"epoch": 10.0,
|
1204 |
+
"eval_f1": 0.0,
|
1205 |
+
"eval_loss": 0.34448280930519104,
|
1206 |
+
"eval_runtime": 20.4875,
|
1207 |
+
"eval_samples_per_second": 93.52,
|
1208 |
+
"eval_steps_per_second": 1.464,
|
1209 |
+
"step": 3590
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 10.0,
|
1213 |
+
"step": 3590,
|
1214 |
+
"total_flos": 3792562624069632.0,
|
1215 |
+
"train_loss": 0.3510875488058106,
|
1216 |
+
"train_runtime": 3949.5247,
|
1217 |
+
"train_samples_per_second": 14.541,
|
1218 |
+
"train_steps_per_second": 0.909
|
1219 |
}
|
1220 |
],
|
1221 |
"logging_steps": 20,
|
1222 |
+
"max_steps": 3590,
|
1223 |
"num_input_tokens_seen": 0,
|
1224 |
"num_train_epochs": 10,
|
1225 |
"save_steps": 500,
|
1226 |
+
"total_flos": 3792562624069632.0,
|
1227 |
"train_batch_size": 2,
|
1228 |
"trial_name": null,
|
1229 |
"trial_params": null
|