AlekseyKorshuk
commited on
Commit
•
0c5fee8
1
Parent(s):
e43591a
huggingartists
Browse files- README.md +3 -3
- evaluation.txt +1 -1
- flax_model.msgpack +1 -1
- optimizer.pt +1 -1
- pytorch_model.bin +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +555 -7
- training_args.bin +1 -1
README.md
CHANGED
@@ -45,15 +45,15 @@ from datasets import load_dataset
|
|
45 |
dataset = load_dataset("huggingartists/eminem")
|
46 |
```
|
47 |
|
48 |
-
[Explore the data](https://wandb.ai/huggingartists/huggingartists/runs/
|
49 |
|
50 |
## Training procedure
|
51 |
|
52 |
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on Eminem's lyrics.
|
53 |
|
54 |
-
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/
|
55 |
|
56 |
-
At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/
|
57 |
|
58 |
## How to use
|
59 |
|
|
|
45 |
dataset = load_dataset("huggingartists/eminem")
|
46 |
```
|
47 |
|
48 |
+
[Explore the data](https://wandb.ai/huggingartists/huggingartists/runs/2fespoxc/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
|
49 |
|
50 |
## Training procedure
|
51 |
|
52 |
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on Eminem's lyrics.
|
53 |
|
54 |
+
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/2uxxai0x) for full transparency and reproducibility.
|
55 |
|
56 |
+
At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/2uxxai0x/artifacts) is logged and versioned.
|
57 |
|
58 |
## How to use
|
59 |
|
evaluation.txt
CHANGED
@@ -1 +1 @@
|
|
1 |
-
{"eval_loss": 0.
|
|
|
1 |
+
{"eval_loss": 0.7939189076423645, "eval_runtime": 29.8066, "eval_samples_per_second": 22.042, "eval_steps_per_second": 2.785, "epoch": 2.0}
|
flax_model.msgpack
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 497764120
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f13dd8e7e0c9ea5bd0091dd8c60afb3afa7fdbacbd0e37efcc6130c50e8634a6
|
3 |
size 497764120
|
optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 995604017
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:244fe45604351a89563c2d647023fc18fab7a2bdb00ee109903ee4436f8466cd
|
3 |
size 995604017
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 510403817
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bc197655c513ce8a2a9aedb71ffa9ae873a18e0f44bc498db64cb0722c23020c
|
3 |
size 510403817
|
rng_state.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14503
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b55a1470c98d33492d6908fcd8cbbeb708c5888e1d08bcca65ab8be3c46a358d
|
3 |
size 14503
|
scheduler.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 623
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a6d8fb3a2cb0240cc608113b76f96c3fc15943c30c93e0a97efa65d0bfdc14f6
|
3 |
size 623
|
trainer_state.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "output/eminem/checkpoint-
|
4 |
-
"epoch":
|
5 |
-
"global_step":
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
@@ -560,11 +560,559 @@
|
|
560 |
"eval_samples_per_second": 22.341,
|
561 |
"eval_steps_per_second": 2.793,
|
562 |
"step": 455
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
563 |
}
|
564 |
],
|
565 |
-
"max_steps":
|
566 |
-
"num_train_epochs":
|
567 |
-
"total_flos":
|
568 |
"trial_name": null,
|
569 |
"trial_params": null
|
570 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.7939189076423645,
|
3 |
+
"best_model_checkpoint": "output/eminem/checkpoint-906",
|
4 |
+
"epoch": 2.0,
|
5 |
+
"global_step": 906,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
|
|
560 |
"eval_samples_per_second": 22.341,
|
561 |
"eval_steps_per_second": 2.793,
|
562 |
"step": 455
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 1.02,
|
566 |
+
"learning_rate": 3.313560072903732e-06,
|
567 |
+
"loss": 0.9642,
|
568 |
+
"step": 460
|
569 |
+
},
|
570 |
+
{
|
571 |
+
"epoch": 1.03,
|
572 |
+
"learning_rate": 4.083020186586042e-06,
|
573 |
+
"loss": 1.0926,
|
574 |
+
"step": 465
|
575 |
+
},
|
576 |
+
{
|
577 |
+
"epoch": 1.04,
|
578 |
+
"learning_rate": 4.930046740852481e-06,
|
579 |
+
"loss": 1.1107,
|
580 |
+
"step": 470
|
581 |
+
},
|
582 |
+
{
|
583 |
+
"epoch": 1.05,
|
584 |
+
"learning_rate": 5.85362138619196e-06,
|
585 |
+
"loss": 1.0343,
|
586 |
+
"step": 475
|
587 |
+
},
|
588 |
+
{
|
589 |
+
"epoch": 1.06,
|
590 |
+
"learning_rate": 6.852633742079277e-06,
|
591 |
+
"loss": 1.0895,
|
592 |
+
"step": 480
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 1.07,
|
596 |
+
"learning_rate": 7.925882731949876e-06,
|
597 |
+
"loss": 1.0942,
|
598 |
+
"step": 485
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 1.08,
|
602 |
+
"learning_rate": 9.072078027207483e-06,
|
603 |
+
"loss": 1.0349,
|
604 |
+
"step": 490
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 1.09,
|
608 |
+
"learning_rate": 1.0289841598539205e-05,
|
609 |
+
"loss": 1.1153,
|
610 |
+
"step": 495
|
611 |
+
},
|
612 |
+
{
|
613 |
+
"epoch": 1.1,
|
614 |
+
"learning_rate": 1.1577709372675019e-05,
|
615 |
+
"loss": 1.1266,
|
616 |
+
"step": 500
|
617 |
+
},
|
618 |
+
{
|
619 |
+
"epoch": 1.11,
|
620 |
+
"learning_rate": 1.2934132992586013e-05,
|
621 |
+
"loss": 1.0478,
|
622 |
+
"step": 505
|
623 |
+
},
|
624 |
+
{
|
625 |
+
"epoch": 1.13,
|
626 |
+
"learning_rate": 1.4357481679018476e-05,
|
627 |
+
"loss": 1.0834,
|
628 |
+
"step": 510
|
629 |
+
},
|
630 |
+
{
|
631 |
+
"epoch": 1.14,
|
632 |
+
"learning_rate": 1.5846044191123214e-05,
|
633 |
+
"loss": 0.9411,
|
634 |
+
"step": 515
|
635 |
+
},
|
636 |
+
{
|
637 |
+
"epoch": 1.15,
|
638 |
+
"learning_rate": 1.739803088381975e-05,
|
639 |
+
"loss": 1.1014,
|
640 |
+
"step": 520
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 1.16,
|
644 |
+
"learning_rate": 1.9011575859416407e-05,
|
645 |
+
"loss": 1.0989,
|
646 |
+
"step": 525
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 1.17,
|
650 |
+
"learning_rate": 2.0684739210917447e-05,
|
651 |
+
"loss": 0.9124,
|
652 |
+
"step": 530
|
653 |
+
},
|
654 |
+
{
|
655 |
+
"epoch": 1.18,
|
656 |
+
"learning_rate": 2.2415509354303698e-05,
|
657 |
+
"loss": 1.0756,
|
658 |
+
"step": 535
|
659 |
+
},
|
660 |
+
{
|
661 |
+
"epoch": 1.19,
|
662 |
+
"learning_rate": 2.4201805446981234e-05,
|
663 |
+
"loss": 1.0015,
|
664 |
+
"step": 540
|
665 |
+
},
|
666 |
+
{
|
667 |
+
"epoch": 1.2,
|
668 |
+
"learning_rate": 2.604147988950966e-05,
|
669 |
+
"loss": 1.2663,
|
670 |
+
"step": 545
|
671 |
+
},
|
672 |
+
{
|
673 |
+
"epoch": 1.21,
|
674 |
+
"learning_rate": 2.793232090758389e-05,
|
675 |
+
"loss": 1.1183,
|
676 |
+
"step": 550
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 1.23,
|
680 |
+
"learning_rate": 2.9872055211163767e-05,
|
681 |
+
"loss": 1.2909,
|
682 |
+
"step": 555
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 1.24,
|
686 |
+
"learning_rate": 3.185835072757725e-05,
|
687 |
+
"loss": 1.1669,
|
688 |
+
"step": 560
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 1.25,
|
692 |
+
"learning_rate": 3.388881940527942e-05,
|
693 |
+
"loss": 1.062,
|
694 |
+
"step": 565
|
695 |
+
},
|
696 |
+
{
|
697 |
+
"epoch": 1.26,
|
698 |
+
"learning_rate": 3.596102008492985e-05,
|
699 |
+
"loss": 1.1253,
|
700 |
+
"step": 570
|
701 |
+
},
|
702 |
+
{
|
703 |
+
"epoch": 1.27,
|
704 |
+
"learning_rate": 3.807246143430314e-05,
|
705 |
+
"loss": 1.1079,
|
706 |
+
"step": 575
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 1.28,
|
710 |
+
"learning_rate": 4.02206049435268e-05,
|
711 |
+
"loss": 1.2146,
|
712 |
+
"step": 580
|
713 |
+
},
|
714 |
+
{
|
715 |
+
"epoch": 1.29,
|
716 |
+
"learning_rate": 4.2402867977052555e-05,
|
717 |
+
"loss": 1.0767,
|
718 |
+
"step": 585
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 1.3,
|
722 |
+
"learning_rate": 4.461662687864929e-05,
|
723 |
+
"loss": 1.0771,
|
724 |
+
"step": 590
|
725 |
+
},
|
726 |
+
{
|
727 |
+
"epoch": 1.31,
|
728 |
+
"learning_rate": 4.685922012574009e-05,
|
729 |
+
"loss": 1.1997,
|
730 |
+
"step": 595
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 1.32,
|
734 |
+
"learning_rate": 4.912795152925409e-05,
|
735 |
+
"loss": 1.107,
|
736 |
+
"step": 600
|
737 |
+
},
|
738 |
+
{
|
739 |
+
"epoch": 1.34,
|
740 |
+
"learning_rate": 5.14200934751585e-05,
|
741 |
+
"loss": 1.1217,
|
742 |
+
"step": 605
|
743 |
+
},
|
744 |
+
{
|
745 |
+
"epoch": 1.35,
|
746 |
+
"learning_rate": 5.373289020376694e-05,
|
747 |
+
"loss": 1.0955,
|
748 |
+
"step": 610
|
749 |
+
},
|
750 |
+
{
|
751 |
+
"epoch": 1.36,
|
752 |
+
"learning_rate": 5.606356112288902e-05,
|
753 |
+
"loss": 1.1355,
|
754 |
+
"step": 615
|
755 |
+
},
|
756 |
+
{
|
757 |
+
"epoch": 1.37,
|
758 |
+
"learning_rate": 5.840930415084469e-05,
|
759 |
+
"loss": 1.2501,
|
760 |
+
"step": 620
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 1.38,
|
764 |
+
"learning_rate": 6.0767299085297635e-05,
|
765 |
+
"loss": 1.0553,
|
766 |
+
"step": 625
|
767 |
+
},
|
768 |
+
{
|
769 |
+
"epoch": 1.39,
|
770 |
+
"learning_rate": 6.313471099388376e-05,
|
771 |
+
"loss": 1.0718,
|
772 |
+
"step": 630
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 1.4,
|
776 |
+
"learning_rate": 6.550869362255213e-05,
|
777 |
+
"loss": 1.2052,
|
778 |
+
"step": 635
|
779 |
+
},
|
780 |
+
{
|
781 |
+
"epoch": 1.41,
|
782 |
+
"learning_rate": 6.788639281751474e-05,
|
783 |
+
"loss": 0.9941,
|
784 |
+
"step": 640
|
785 |
+
},
|
786 |
+
{
|
787 |
+
"epoch": 1.42,
|
788 |
+
"learning_rate": 7.026494995668396e-05,
|
789 |
+
"loss": 1.0171,
|
790 |
+
"step": 645
|
791 |
+
},
|
792 |
+
{
|
793 |
+
"epoch": 1.43,
|
794 |
+
"learning_rate": 7.264150538649964e-05,
|
795 |
+
"loss": 1.0264,
|
796 |
+
"step": 650
|
797 |
+
},
|
798 |
+
{
|
799 |
+
"epoch": 1.45,
|
800 |
+
"learning_rate": 7.501320185998764e-05,
|
801 |
+
"loss": 0.9926,
|
802 |
+
"step": 655
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"epoch": 1.46,
|
806 |
+
"learning_rate": 7.737718797191607e-05,
|
807 |
+
"loss": 1.0749,
|
808 |
+
"step": 660
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 1.47,
|
812 |
+
"learning_rate": 7.97306215869479e-05,
|
813 |
+
"loss": 1.0997,
|
814 |
+
"step": 665
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 1.48,
|
818 |
+
"learning_rate": 8.207067325662808e-05,
|
819 |
+
"loss": 1.1054,
|
820 |
+
"step": 670
|
821 |
+
},
|
822 |
+
{
|
823 |
+
"epoch": 1.49,
|
824 |
+
"learning_rate": 8.439452962113818e-05,
|
825 |
+
"loss": 1.2298,
|
826 |
+
"step": 675
|
827 |
+
},
|
828 |
+
{
|
829 |
+
"epoch": 1.5,
|
830 |
+
"learning_rate": 8.669939679168881e-05,
|
831 |
+
"loss": 1.0679,
|
832 |
+
"step": 680
|
833 |
+
},
|
834 |
+
{
|
835 |
+
"epoch": 1.51,
|
836 |
+
"learning_rate": 8.898250370951158e-05,
|
837 |
+
"loss": 0.93,
|
838 |
+
"step": 685
|
839 |
+
},
|
840 |
+
{
|
841 |
+
"epoch": 1.52,
|
842 |
+
"learning_rate": 9.124110547741169e-05,
|
843 |
+
"loss": 1.0726,
|
844 |
+
"step": 690
|
845 |
+
},
|
846 |
+
{
|
847 |
+
"epoch": 1.53,
|
848 |
+
"learning_rate": 9.347248665985043e-05,
|
849 |
+
"loss": 1.038,
|
850 |
+
"step": 695
|
851 |
+
},
|
852 |
+
{
|
853 |
+
"epoch": 1.55,
|
854 |
+
"learning_rate": 9.567396454761656e-05,
|
855 |
+
"loss": 1.219,
|
856 |
+
"step": 700
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 1.56,
|
860 |
+
"learning_rate": 9.78428923831546e-05,
|
861 |
+
"loss": 1.1036,
|
862 |
+
"step": 705
|
863 |
+
},
|
864 |
+
{
|
865 |
+
"epoch": 1.57,
|
866 |
+
"learning_rate": 9.997666254266687e-05,
|
867 |
+
"loss": 1.2553,
|
868 |
+
"step": 710
|
869 |
+
},
|
870 |
+
{
|
871 |
+
"epoch": 1.58,
|
872 |
+
"learning_rate": 0.0001020727096711577,
|
873 |
+
"loss": 0.9944,
|
874 |
+
"step": 715
|
875 |
+
},
|
876 |
+
{
|
877 |
+
"epoch": 1.59,
|
878 |
+
"learning_rate": 0.00010412851376667537,
|
879 |
+
"loss": 1.0103,
|
880 |
+
"step": 720
|
881 |
+
},
|
882 |
+
{
|
883 |
+
"epoch": 1.6,
|
884 |
+
"learning_rate": 0.00010614160321001933,
|
885 |
+
"loss": 1.1856,
|
886 |
+
"step": 725
|
887 |
+
},
|
888 |
+
{
|
889 |
+
"epoch": 1.61,
|
890 |
+
"learning_rate": 0.00010810955773627152,
|
891 |
+
"loss": 1.1214,
|
892 |
+
"step": 730
|
893 |
+
},
|
894 |
+
{
|
895 |
+
"epoch": 1.62,
|
896 |
+
"learning_rate": 0.00011003001134460133,
|
897 |
+
"loss": 1.226,
|
898 |
+
"step": 735
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 1.63,
|
902 |
+
"learning_rate": 0.00011190065514282273,
|
903 |
+
"loss": 1.1587,
|
904 |
+
"step": 740
|
905 |
+
},
|
906 |
+
{
|
907 |
+
"epoch": 1.64,
|
908 |
+
"learning_rate": 0.00011371924012328539,
|
909 |
+
"loss": 1.3559,
|
910 |
+
"step": 745
|
911 |
+
},
|
912 |
+
{
|
913 |
+
"epoch": 1.66,
|
914 |
+
"learning_rate": 0.00011548357986678387,
|
915 |
+
"loss": 1.0196,
|
916 |
+
"step": 750
|
917 |
+
},
|
918 |
+
{
|
919 |
+
"epoch": 1.67,
|
920 |
+
"learning_rate": 0.00011719155317120334,
|
921 |
+
"loss": 1.0605,
|
922 |
+
"step": 755
|
923 |
+
},
|
924 |
+
{
|
925 |
+
"epoch": 1.68,
|
926 |
+
"learning_rate": 0.00011884110660177233,
|
927 |
+
"loss": 1.3014,
|
928 |
+
"step": 760
|
929 |
+
},
|
930 |
+
{
|
931 |
+
"epoch": 1.69,
|
932 |
+
"learning_rate": 0.0001204302569598269,
|
933 |
+
"loss": 1.104,
|
934 |
+
"step": 765
|
935 |
+
},
|
936 |
+
{
|
937 |
+
"epoch": 1.7,
|
938 |
+
"learning_rate": 0.00012195709366713928,
|
939 |
+
"loss": 1.1758,
|
940 |
+
"step": 770
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 1.71,
|
944 |
+
"learning_rate": 0.00012341978106294302,
|
945 |
+
"loss": 1.1321,
|
946 |
+
"step": 775
|
947 |
+
},
|
948 |
+
{
|
949 |
+
"epoch": 1.72,
|
950 |
+
"learning_rate": 0.00012481656061087584,
|
951 |
+
"loss": 1.0998,
|
952 |
+
"step": 780
|
953 |
+
},
|
954 |
+
{
|
955 |
+
"epoch": 1.73,
|
956 |
+
"learning_rate": 0.00012614575301320556,
|
957 |
+
"loss": 1.2422,
|
958 |
+
"step": 785
|
959 |
+
},
|
960 |
+
{
|
961 |
+
"epoch": 1.74,
|
962 |
+
"learning_rate": 0.00012740576022979148,
|
963 |
+
"loss": 1.0643,
|
964 |
+
"step": 790
|
965 |
+
},
|
966 |
+
{
|
967 |
+
"epoch": 1.75,
|
968 |
+
"learning_rate": 0.00012859506739935084,
|
969 |
+
"loss": 1.224,
|
970 |
+
"step": 795
|
971 |
+
},
|
972 |
+
{
|
973 |
+
"epoch": 1.77,
|
974 |
+
"learning_rate": 0.0001297122446607173,
|
975 |
+
"loss": 1.2715,
|
976 |
+
"step": 800
|
977 |
+
},
|
978 |
+
{
|
979 |
+
"epoch": 1.78,
|
980 |
+
"learning_rate": 0.00013075594887191635,
|
981 |
+
"loss": 1.2678,
|
982 |
+
"step": 805
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 1.79,
|
986 |
+
"learning_rate": 0.00013172492522497582,
|
987 |
+
"loss": 1.3525,
|
988 |
+
"step": 810
|
989 |
+
},
|
990 |
+
{
|
991 |
+
"epoch": 1.8,
|
992 |
+
"learning_rate": 0.00013261800875453292,
|
993 |
+
"loss": 1.1699,
|
994 |
+
"step": 815
|
995 |
+
},
|
996 |
+
{
|
997 |
+
"epoch": 1.81,
|
998 |
+
"learning_rate": 0.0001334341257384344,
|
999 |
+
"loss": 1.2546,
|
1000 |
+
"step": 820
|
1001 |
+
},
|
1002 |
+
{
|
1003 |
+
"epoch": 1.82,
|
1004 |
+
"learning_rate": 0.00013417229498863045,
|
1005 |
+
"loss": 1.1295,
|
1006 |
+
"step": 825
|
1007 |
+
},
|
1008 |
+
{
|
1009 |
+
"epoch": 1.83,
|
1010 |
+
"learning_rate": 0.00013483162903082528,
|
1011 |
+
"loss": 1.0542,
|
1012 |
+
"step": 830
|
1013 |
+
},
|
1014 |
+
{
|
1015 |
+
"epoch": 1.84,
|
1016 |
+
"learning_rate": 0.00013541133517145263,
|
1017 |
+
"loss": 1.1614,
|
1018 |
+
"step": 835
|
1019 |
+
},
|
1020 |
+
{
|
1021 |
+
"epoch": 1.85,
|
1022 |
+
"learning_rate": 0.000135910716450703,
|
1023 |
+
"loss": 1.2422,
|
1024 |
+
"step": 840
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 1.87,
|
1028 |
+
"learning_rate": 0.00013632917248045546,
|
1029 |
+
"loss": 1.3636,
|
1030 |
+
"step": 845
|
1031 |
+
},
|
1032 |
+
{
|
1033 |
+
"epoch": 1.88,
|
1034 |
+
"learning_rate": 0.00013666620016610032,
|
1035 |
+
"loss": 1.1613,
|
1036 |
+
"step": 850
|
1037 |
+
},
|
1038 |
+
{
|
1039 |
+
"epoch": 1.89,
|
1040 |
+
"learning_rate": 0.00013692139431139235,
|
1041 |
+
"loss": 1.1166,
|
1042 |
+
"step": 855
|
1043 |
+
},
|
1044 |
+
{
|
1045 |
+
"epoch": 1.9,
|
1046 |
+
"learning_rate": 0.00013709444810560428,
|
1047 |
+
"loss": 1.3142,
|
1048 |
+
"step": 860
|
1049 |
+
},
|
1050 |
+
{
|
1051 |
+
"epoch": 1.91,
|
1052 |
+
"learning_rate": 0.00013718515349239374,
|
1053 |
+
"loss": 1.2432,
|
1054 |
+
"step": 865
|
1055 |
+
},
|
1056 |
+
{
|
1057 |
+
"epoch": 1.92,
|
1058 |
+
"learning_rate": 0.0001371934014199418,
|
1059 |
+
"loss": 1.2136,
|
1060 |
+
"step": 870
|
1061 |
+
},
|
1062 |
+
{
|
1063 |
+
"epoch": 1.93,
|
1064 |
+
"learning_rate": 0.00013711918197206236,
|
1065 |
+
"loss": 1.244,
|
1066 |
+
"step": 875
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 1.94,
|
1070 |
+
"learning_rate": 0.00013696258438012369,
|
1071 |
+
"loss": 1.197,
|
1072 |
+
"step": 880
|
1073 |
+
},
|
1074 |
+
{
|
1075 |
+
"epoch": 1.95,
|
1076 |
+
"learning_rate": 0.0001367237969157692,
|
1077 |
+
"loss": 1.2077,
|
1078 |
+
"step": 885
|
1079 |
+
},
|
1080 |
+
{
|
1081 |
+
"epoch": 1.96,
|
1082 |
+
"learning_rate": 0.0001364031066645648,
|
1083 |
+
"loss": 1.219,
|
1084 |
+
"step": 890
|
1085 |
+
},
|
1086 |
+
{
|
1087 |
+
"epoch": 1.98,
|
1088 |
+
"learning_rate": 0.00013600089918084689,
|
1089 |
+
"loss": 1.1498,
|
1090 |
+
"step": 895
|
1091 |
+
},
|
1092 |
+
{
|
1093 |
+
"epoch": 1.99,
|
1094 |
+
"learning_rate": 0.00013551765802418306,
|
1095 |
+
"loss": 1.3182,
|
1096 |
+
"step": 900
|
1097 |
+
},
|
1098 |
+
{
|
1099 |
+
"epoch": 2.0,
|
1100 |
+
"learning_rate": 0.00013495396417800696,
|
1101 |
+
"loss": 1.2463,
|
1102 |
+
"step": 905
|
1103 |
+
},
|
1104 |
+
{
|
1105 |
+
"epoch": 2.0,
|
1106 |
+
"eval_loss": 0.7939189076423645,
|
1107 |
+
"eval_runtime": 29.7555,
|
1108 |
+
"eval_samples_per_second": 22.08,
|
1109 |
+
"eval_steps_per_second": 2.789,
|
1110 |
+
"step": 906
|
1111 |
}
|
1112 |
],
|
1113 |
+
"max_steps": 906,
|
1114 |
+
"num_train_epochs": 2,
|
1115 |
+
"total_flos": 946007801856000.0,
|
1116 |
"trial_name": null,
|
1117 |
"trial_params": null
|
1118 |
}
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 2863
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b6d62b22b3fddf4b65d8ed71d85e9c10475e541c7b4f259ebe2c4dc5efb2628c
|
3 |
size 2863
|