Training in progress, step 10000, 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 496262784
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:903447f03d58f6091e77f6c8e86618532694f7851f4bae993e86c4ce18c6f156
|
| 3 |
size 496262784
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 992621963
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:43d16ca2f5f37c1c8859b2af1e7c37a0df1c1e053e9beab3ae0485a01ee4349e
|
| 3 |
size 992621963
|
last-checkpoint/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14645
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:78c70ce0d856bbf974b0d8a026254698e4f48063d82d2b6e496aefa99327d481
|
| 3 |
size 14645
|
last-checkpoint/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1465
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4bd014c1a4ed62bfbd75417f39dbd6d002ac8b7b9a0b143e7b7bcaa971ce4138
|
| 3 |
size 1465
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -2,9 +2,9 @@
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
-
"epoch": 0.
|
| 6 |
"eval_steps": 1000,
|
| 7 |
-
"global_step":
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
@@ -640,6 +640,164 @@
|
|
| 640 |
"eval_samples_per_second": 327.521,
|
| 641 |
"eval_steps_per_second": 20.586,
|
| 642 |
"step": 8000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 643 |
}
|
| 644 |
],
|
| 645 |
"logging_steps": 100,
|
|
@@ -659,7 +817,7 @@
|
|
| 659 |
"attributes": {}
|
| 660 |
}
|
| 661 |
},
|
| 662 |
-
"total_flos":
|
| 663 |
"train_batch_size": 120,
|
| 664 |
"trial_name": null,
|
| 665 |
"trial_params": null
|
|
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.2,
|
| 6 |
"eval_steps": 1000,
|
| 7 |
+
"global_step": 10000,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
|
|
| 640 |
"eval_samples_per_second": 327.521,
|
| 641 |
"eval_steps_per_second": 20.586,
|
| 642 |
"step": 8000
|
| 643 |
+
},
|
| 644 |
+
{
|
| 645 |
+
"epoch": 0.162,
|
| 646 |
+
"grad_norm": 0.23801666498184204,
|
| 647 |
+
"learning_rate": 0.0005631375438337147,
|
| 648 |
+
"loss": 3.632862548828125,
|
| 649 |
+
"step": 8100
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"epoch": 0.164,
|
| 653 |
+
"grad_norm": 0.23611237108707428,
|
| 654 |
+
"learning_rate": 0.0005622243281143698,
|
| 655 |
+
"loss": 3.6399630737304687,
|
| 656 |
+
"step": 8200
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 0.166,
|
| 660 |
+
"grad_norm": 0.23898784816265106,
|
| 661 |
+
"learning_rate": 0.0005613006978341218,
|
| 662 |
+
"loss": 3.6880291748046874,
|
| 663 |
+
"step": 8300
|
| 664 |
+
},
|
| 665 |
+
{
|
| 666 |
+
"epoch": 0.168,
|
| 667 |
+
"grad_norm": 0.29460519552230835,
|
| 668 |
+
"learning_rate": 0.0005603666896760804,
|
| 669 |
+
"loss": 3.7291055297851563,
|
| 670 |
+
"step": 8400
|
| 671 |
+
},
|
| 672 |
+
{
|
| 673 |
+
"epoch": 0.17,
|
| 674 |
+
"grad_norm": 0.2292584925889969,
|
| 675 |
+
"learning_rate": 0.0005594223407355256,
|
| 676 |
+
"loss": 3.7337985229492188,
|
| 677 |
+
"step": 8500
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"epoch": 0.172,
|
| 681 |
+
"grad_norm": 0.2524070739746094,
|
| 682 |
+
"learning_rate": 0.0005584676885184341,
|
| 683 |
+
"loss": 3.7386798095703124,
|
| 684 |
+
"step": 8600
|
| 685 |
+
},
|
| 686 |
+
{
|
| 687 |
+
"epoch": 0.174,
|
| 688 |
+
"grad_norm": 0.25900545716285706,
|
| 689 |
+
"learning_rate": 0.0005575027709399899,
|
| 690 |
+
"loss": 3.7031732177734376,
|
| 691 |
+
"step": 8700
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"epoch": 0.176,
|
| 695 |
+
"grad_norm": 0.22311732172966003,
|
| 696 |
+
"learning_rate": 0.0005565276263230785,
|
| 697 |
+
"loss": 3.71237060546875,
|
| 698 |
+
"step": 8800
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 0.178,
|
| 702 |
+
"grad_norm": 0.23083606362342834,
|
| 703 |
+
"learning_rate": 0.0005555422933967647,
|
| 704 |
+
"loss": 3.6988143920898438,
|
| 705 |
+
"step": 8900
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"epoch": 0.18,
|
| 709 |
+
"grad_norm": 0.23646661639213562,
|
| 710 |
+
"learning_rate": 0.0005545468112947544,
|
| 711 |
+
"loss": 3.692724609375,
|
| 712 |
+
"step": 9000
|
| 713 |
+
},
|
| 714 |
+
{
|
| 715 |
+
"epoch": 0.18,
|
| 716 |
+
"eval_accuracy": 0.3474917099443364,
|
| 717 |
+
"eval_loss": 3.6365442276000977,
|
| 718 |
+
"eval_runtime": 5.728,
|
| 719 |
+
"eval_samples_per_second": 338.859,
|
| 720 |
+
"eval_steps_per_second": 21.299,
|
| 721 |
+
"step": 9000
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"epoch": 0.182,
|
| 725 |
+
"grad_norm": 0.2665349841117859,
|
| 726 |
+
"learning_rate": 0.0005535412195538409,
|
| 727 |
+
"loss": 3.683785400390625,
|
| 728 |
+
"step": 9100
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 0.184,
|
| 732 |
+
"grad_norm": 0.22817476093769073,
|
| 733 |
+
"learning_rate": 0.0005525255581123336,
|
| 734 |
+
"loss": 3.6991543579101562,
|
| 735 |
+
"step": 9200
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 0.186,
|
| 739 |
+
"grad_norm": 0.2592155635356903,
|
| 740 |
+
"learning_rate": 0.000551499867308473,
|
| 741 |
+
"loss": 3.6590890502929687,
|
| 742 |
+
"step": 9300
|
| 743 |
+
},
|
| 744 |
+
{
|
| 745 |
+
"epoch": 0.188,
|
| 746 |
+
"grad_norm": 0.24686357378959656,
|
| 747 |
+
"learning_rate": 0.0005504641878788275,
|
| 748 |
+
"loss": 3.6509600830078126,
|
| 749 |
+
"step": 9400
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 0.19,
|
| 753 |
+
"grad_norm": 0.22637774050235748,
|
| 754 |
+
"learning_rate": 0.0005494185609566764,
|
| 755 |
+
"loss": 3.666563720703125,
|
| 756 |
+
"step": 9500
|
| 757 |
+
},
|
| 758 |
+
{
|
| 759 |
+
"epoch": 0.192,
|
| 760 |
+
"grad_norm": 0.21554476022720337,
|
| 761 |
+
"learning_rate": 0.0005483630280703757,
|
| 762 |
+
"loss": 3.6956219482421875,
|
| 763 |
+
"step": 9600
|
| 764 |
+
},
|
| 765 |
+
{
|
| 766 |
+
"epoch": 0.194,
|
| 767 |
+
"grad_norm": 0.2128387987613678,
|
| 768 |
+
"learning_rate": 0.0005472976311417091,
|
| 769 |
+
"loss": 3.661249084472656,
|
| 770 |
+
"step": 9700
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 0.196,
|
| 774 |
+
"grad_norm": 0.21794714033603668,
|
| 775 |
+
"learning_rate": 0.0005462224124842225,
|
| 776 |
+
"loss": 3.6454119873046875,
|
| 777 |
+
"step": 9800
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"epoch": 0.198,
|
| 781 |
+
"grad_norm": 0.23011332750320435,
|
| 782 |
+
"learning_rate": 0.0005451374148015441,
|
| 783 |
+
"loss": 3.6472012329101564,
|
| 784 |
+
"step": 9900
|
| 785 |
+
},
|
| 786 |
+
{
|
| 787 |
+
"epoch": 0.2,
|
| 788 |
+
"grad_norm": 0.21280302107334137,
|
| 789 |
+
"learning_rate": 0.0005440426811856883,
|
| 790 |
+
"loss": 3.6411611938476565,
|
| 791 |
+
"step": 10000
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"epoch": 0.2,
|
| 795 |
+
"eval_accuracy": 0.3510436547424966,
|
| 796 |
+
"eval_loss": 3.6030726432800293,
|
| 797 |
+
"eval_runtime": 5.6604,
|
| 798 |
+
"eval_samples_per_second": 342.906,
|
| 799 |
+
"eval_steps_per_second": 21.553,
|
| 800 |
+
"step": 10000
|
| 801 |
}
|
| 802 |
],
|
| 803 |
"logging_steps": 100,
|
|
|
|
| 817 |
"attributes": {}
|
| 818 |
}
|
| 819 |
},
|
| 820 |
+
"total_flos": 3.135504384e+17,
|
| 821 |
"train_batch_size": 120,
|
| 822 |
"trial_name": null,
|
| 823 |
"trial_params": null
|