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 579824888
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:172b83ee8c0c178fc631d554a3d8e1a9ee973cecb6292c8a65ea9cf6b9413a5f
|
| 3 |
size 579824888
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1159794763
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4bb1ba220a967824aa67b3f408cb2411ac14a2a8f57c220950876c97a9607f93
|
| 3 |
size 1159794763
|
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 sha256:62b01f9ae52b370a3c5177e3cbec51226c2ec58f411c1ee0496cca95d179b183
|
| 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 sha256:687c619a9c245be775b1ee059ceaff574f576584c143ed02ddcab0296c87f35b
|
| 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": 241.259,
|
| 641 |
"eval_steps_per_second": 15.164,
|
| 642 |
"step": 8000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 643 |
}
|
| 644 |
],
|
| 645 |
"logging_steps": 100,
|
|
@@ -659,7 +817,7 @@
|
|
| 659 |
"attributes": {}
|
| 660 |
}
|
| 661 |
},
|
| 662 |
-
"total_flos": 3.
|
| 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": 241.259,
|
| 641 |
"eval_steps_per_second": 15.164,
|
| 642 |
"step": 8000
|
| 643 |
+
},
|
| 644 |
+
{
|
| 645 |
+
"epoch": 0.162,
|
| 646 |
+
"grad_norm": 0.16548939049243927,
|
| 647 |
+
"learning_rate": 0.0009385625730561914,
|
| 648 |
+
"loss": 3.588617248535156,
|
| 649 |
+
"step": 8100
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"epoch": 0.164,
|
| 653 |
+
"grad_norm": 0.16542939841747284,
|
| 654 |
+
"learning_rate": 0.0009370405468572831,
|
| 655 |
+
"loss": 3.590567626953125,
|
| 656 |
+
"step": 8200
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 0.166,
|
| 660 |
+
"grad_norm": 0.18206581473350525,
|
| 661 |
+
"learning_rate": 0.0009355011630568697,
|
| 662 |
+
"loss": 3.636882629394531,
|
| 663 |
+
"step": 8300
|
| 664 |
+
},
|
| 665 |
+
{
|
| 666 |
+
"epoch": 0.168,
|
| 667 |
+
"grad_norm": 0.2654706835746765,
|
| 668 |
+
"learning_rate": 0.0009339444827934676,
|
| 669 |
+
"loss": 3.6797540283203123,
|
| 670 |
+
"step": 8400
|
| 671 |
+
},
|
| 672 |
+
{
|
| 673 |
+
"epoch": 0.17,
|
| 674 |
+
"grad_norm": 0.16825009882450104,
|
| 675 |
+
"learning_rate": 0.0009323705678925427,
|
| 676 |
+
"loss": 3.686376953125,
|
| 677 |
+
"step": 8500
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"epoch": 0.172,
|
| 681 |
+
"grad_norm": 0.18937945365905762,
|
| 682 |
+
"learning_rate": 0.000930779480864057,
|
| 683 |
+
"loss": 3.6942425537109376,
|
| 684 |
+
"step": 8600
|
| 685 |
+
},
|
| 686 |
+
{
|
| 687 |
+
"epoch": 0.174,
|
| 688 |
+
"grad_norm": 0.19819994270801544,
|
| 689 |
+
"learning_rate": 0.0009291712848999833,
|
| 690 |
+
"loss": 3.6582196044921873,
|
| 691 |
+
"step": 8700
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"epoch": 0.176,
|
| 695 |
+
"grad_norm": 0.1557057648897171,
|
| 696 |
+
"learning_rate": 0.0009275460438717975,
|
| 697 |
+
"loss": 3.6659271240234377,
|
| 698 |
+
"step": 8800
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 0.178,
|
| 702 |
+
"grad_norm": 0.16359280049800873,
|
| 703 |
+
"learning_rate": 0.0009259038223279413,
|
| 704 |
+
"loss": 3.66092529296875,
|
| 705 |
+
"step": 8900
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"epoch": 0.18,
|
| 709 |
+
"grad_norm": 0.17897452414035797,
|
| 710 |
+
"learning_rate": 0.0009242446854912575,
|
| 711 |
+
"loss": 3.6642529296875,
|
| 712 |
+
"step": 9000
|
| 713 |
+
},
|
| 714 |
+
{
|
| 715 |
+
"epoch": 0.18,
|
| 716 |
+
"eval_accuracy": 0.3497692697794326,
|
| 717 |
+
"eval_loss": 3.617546319961548,
|
| 718 |
+
"eval_runtime": 6.279,
|
| 719 |
+
"eval_samples_per_second": 309.124,
|
| 720 |
+
"eval_steps_per_second": 19.43,
|
| 721 |
+
"step": 9000
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"epoch": 0.182,
|
| 725 |
+
"grad_norm": 0.20515520870685577,
|
| 726 |
+
"learning_rate": 0.0009225686992564015,
|
| 727 |
+
"loss": 3.6445053100585936,
|
| 728 |
+
"step": 9100
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 0.184,
|
| 732 |
+
"grad_norm": 0.16788582503795624,
|
| 733 |
+
"learning_rate": 0.0009208759301872229,
|
| 734 |
+
"loss": 3.657896728515625,
|
| 735 |
+
"step": 9200
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 0.186,
|
| 739 |
+
"grad_norm": 0.1988508403301239,
|
| 740 |
+
"learning_rate": 0.0009191664455141217,
|
| 741 |
+
"loss": 3.616723937988281,
|
| 742 |
+
"step": 9300
|
| 743 |
+
},
|
| 744 |
+
{
|
| 745 |
+
"epoch": 0.188,
|
| 746 |
+
"grad_norm": 0.1822570413351059,
|
| 747 |
+
"learning_rate": 0.0009174403131313792,
|
| 748 |
+
"loss": 3.6103390502929686,
|
| 749 |
+
"step": 9400
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 0.19,
|
| 753 |
+
"grad_norm": 0.15679553151130676,
|
| 754 |
+
"learning_rate": 0.0009156976015944607,
|
| 755 |
+
"loss": 3.624302978515625,
|
| 756 |
+
"step": 9500
|
| 757 |
+
},
|
| 758 |
+
{
|
| 759 |
+
"epoch": 0.192,
|
| 760 |
+
"grad_norm": 0.15683937072753906,
|
| 761 |
+
"learning_rate": 0.0009139383801172929,
|
| 762 |
+
"loss": 3.6558917236328123,
|
| 763 |
+
"step": 9600
|
| 764 |
+
},
|
| 765 |
+
{
|
| 766 |
+
"epoch": 0.194,
|
| 767 |
+
"grad_norm": 0.1553466022014618,
|
| 768 |
+
"learning_rate": 0.0009121627185695152,
|
| 769 |
+
"loss": 3.6198284912109373,
|
| 770 |
+
"step": 9700
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 0.196,
|
| 774 |
+
"grad_norm": 0.14881721138954163,
|
| 775 |
+
"learning_rate": 0.0009103706874737043,
|
| 776 |
+
"loss": 3.60408203125,
|
| 777 |
+
"step": 9800
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"epoch": 0.198,
|
| 781 |
+
"grad_norm": 0.1628589779138565,
|
| 782 |
+
"learning_rate": 0.0009085623580025737,
|
| 783 |
+
"loss": 3.6047940063476562,
|
| 784 |
+
"step": 9900
|
| 785 |
+
},
|
| 786 |
+
{
|
| 787 |
+
"epoch": 0.2,
|
| 788 |
+
"grad_norm": 0.15589991211891174,
|
| 789 |
+
"learning_rate": 0.0009067378019761472,
|
| 790 |
+
"loss": 3.599223327636719,
|
| 791 |
+
"step": 10000
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"epoch": 0.2,
|
| 795 |
+
"eval_accuracy": 0.3534593401629882,
|
| 796 |
+
"eval_loss": 3.579674005508423,
|
| 797 |
+
"eval_runtime": 6.3176,
|
| 798 |
+
"eval_samples_per_second": 307.239,
|
| 799 |
+
"eval_steps_per_second": 19.311,
|
| 800 |
+
"step": 10000
|
| 801 |
}
|
| 802 |
],
|
| 803 |
"logging_steps": 100,
|
|
|
|
| 817 |
"attributes": {}
|
| 818 |
}
|
| 819 |
},
|
| 820 |
+
"total_flos": 3.919960866816e+17,
|
| 821 |
"train_batch_size": 120,
|
| 822 |
"trial_name": null,
|
| 823 |
"trial_params": null
|