Uploaded checkpoint-2000
Browse files- adapter_model.safetensors +1 -1
- optimizer.pt +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +721 -5
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 119975656
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8e83bbbf0870fbe09159719566d678fc0c4aeecbc451c1d4947915b25a14c64e
|
3 |
size 119975656
|
optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 240145026
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cdecaf2bf9e2cb3f8cde47cb9305ea2b8c70b9558e5279786a988f7c47d73b4d
|
3 |
size 240145026
|
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 sha256:00b2d8ce9c47af2735f9fc373d1aa74a8815666d3e7d1d7b5a7c6a3fa49ef6fe
|
3 |
size 14244
|
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 sha256:78180a777fabc8bdc6e37d70a05529fbfe5bbeb093c49dd0124cc2bdeb32db78
|
3 |
size 1064
|
trainer_state.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "runs/deepseek_lora_20240423-133229/checkpoint-
|
4 |
-
"epoch": 0.
|
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,
|
@@ -723,6 +723,722 @@
|
|
723 |
"eval_samples_per_second": 16.085,
|
724 |
"eval_steps_per_second": 16.085,
|
725 |
"step": 1000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
726 |
}
|
727 |
],
|
728 |
"logging_steps": 10,
|
@@ -730,7 +1446,7 @@
|
|
730 |
"num_input_tokens_seen": 0,
|
731 |
"num_train_epochs": 2,
|
732 |
"save_steps": 1000,
|
733 |
-
"total_flos":
|
734 |
"train_batch_size": 1,
|
735 |
"trial_name": null,
|
736 |
"trial_params": null
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.018313532695174217,
|
3 |
+
"best_model_checkpoint": "runs/deepseek_lora_20240423-133229/checkpoint-2000",
|
4 |
+
"epoch": 0.6266154930680661,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 2000,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
|
|
723 |
"eval_samples_per_second": 16.085,
|
724 |
"eval_steps_per_second": 16.085,
|
725 |
"step": 1000
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 0.32,
|
729 |
+
"grad_norm": 0.003431650809943676,
|
730 |
+
"learning_rate": 1.7733333333333335e-05,
|
731 |
+
"loss": 0.0425,
|
732 |
+
"step": 1010
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 0.32,
|
736 |
+
"grad_norm": 0.005604119040071964,
|
737 |
+
"learning_rate": 1.768888888888889e-05,
|
738 |
+
"loss": 0.0727,
|
739 |
+
"step": 1020
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 0.32,
|
743 |
+
"grad_norm": 0.058546032756567,
|
744 |
+
"learning_rate": 1.7644444444444446e-05,
|
745 |
+
"loss": 0.1304,
|
746 |
+
"step": 1030
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 0.33,
|
750 |
+
"grad_norm": 1.0267212390899658,
|
751 |
+
"learning_rate": 1.76e-05,
|
752 |
+
"loss": 0.0496,
|
753 |
+
"step": 1040
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 0.33,
|
757 |
+
"grad_norm": 3.5381667613983154,
|
758 |
+
"learning_rate": 1.7555555555555556e-05,
|
759 |
+
"loss": 0.0935,
|
760 |
+
"step": 1050
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 0.33,
|
764 |
+
"grad_norm": 0.006851164624094963,
|
765 |
+
"learning_rate": 1.751111111111111e-05,
|
766 |
+
"loss": 0.0344,
|
767 |
+
"step": 1060
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 0.34,
|
771 |
+
"grad_norm": 0.005180824548006058,
|
772 |
+
"learning_rate": 1.7466666666666667e-05,
|
773 |
+
"loss": 0.0195,
|
774 |
+
"step": 1070
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 0.34,
|
778 |
+
"grad_norm": 1.586403489112854,
|
779 |
+
"learning_rate": 1.7422222222222222e-05,
|
780 |
+
"loss": 0.0868,
|
781 |
+
"step": 1080
|
782 |
+
},
|
783 |
+
{
|
784 |
+
"epoch": 0.34,
|
785 |
+
"grad_norm": 0.14490236341953278,
|
786 |
+
"learning_rate": 1.737777777777778e-05,
|
787 |
+
"loss": 0.0489,
|
788 |
+
"step": 1090
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 0.34,
|
792 |
+
"grad_norm": 0.005752285942435265,
|
793 |
+
"learning_rate": 1.7333333333333336e-05,
|
794 |
+
"loss": 0.0625,
|
795 |
+
"step": 1100
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 0.35,
|
799 |
+
"grad_norm": 0.8000261187553406,
|
800 |
+
"learning_rate": 1.728888888888889e-05,
|
801 |
+
"loss": 0.0923,
|
802 |
+
"step": 1110
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"epoch": 0.35,
|
806 |
+
"grad_norm": 0.024827931076288223,
|
807 |
+
"learning_rate": 1.7244444444444446e-05,
|
808 |
+
"loss": 0.0355,
|
809 |
+
"step": 1120
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 0.35,
|
813 |
+
"grad_norm": 3.424243927001953,
|
814 |
+
"learning_rate": 1.72e-05,
|
815 |
+
"loss": 0.0659,
|
816 |
+
"step": 1130
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 0.36,
|
820 |
+
"grad_norm": 3.4055392742156982,
|
821 |
+
"learning_rate": 1.7155555555555557e-05,
|
822 |
+
"loss": 0.0681,
|
823 |
+
"step": 1140
|
824 |
+
},
|
825 |
+
{
|
826 |
+
"epoch": 0.36,
|
827 |
+
"grad_norm": 0.0077874124981462955,
|
828 |
+
"learning_rate": 1.7111111111111112e-05,
|
829 |
+
"loss": 0.106,
|
830 |
+
"step": 1150
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 0.36,
|
834 |
+
"grad_norm": 0.006299824919551611,
|
835 |
+
"learning_rate": 1.706666666666667e-05,
|
836 |
+
"loss": 0.0438,
|
837 |
+
"step": 1160
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 0.37,
|
841 |
+
"grad_norm": 0.004886701237410307,
|
842 |
+
"learning_rate": 1.7022222222222226e-05,
|
843 |
+
"loss": 0.0403,
|
844 |
+
"step": 1170
|
845 |
+
},
|
846 |
+
{
|
847 |
+
"epoch": 0.37,
|
848 |
+
"grad_norm": 0.0028305843006819487,
|
849 |
+
"learning_rate": 1.697777777777778e-05,
|
850 |
+
"loss": 0.0299,
|
851 |
+
"step": 1180
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 0.37,
|
855 |
+
"grad_norm": 0.36411717534065247,
|
856 |
+
"learning_rate": 1.6933333333333336e-05,
|
857 |
+
"loss": 0.0639,
|
858 |
+
"step": 1190
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 0.38,
|
862 |
+
"grad_norm": 0.004984024912118912,
|
863 |
+
"learning_rate": 1.688888888888889e-05,
|
864 |
+
"loss": 0.1363,
|
865 |
+
"step": 1200
|
866 |
+
},
|
867 |
+
{
|
868 |
+
"epoch": 0.38,
|
869 |
+
"grad_norm": 2.4117214679718018,
|
870 |
+
"learning_rate": 1.6844444444444447e-05,
|
871 |
+
"loss": 0.018,
|
872 |
+
"step": 1210
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 0.38,
|
876 |
+
"grad_norm": 1.2183905839920044,
|
877 |
+
"learning_rate": 1.6800000000000002e-05,
|
878 |
+
"loss": 0.0062,
|
879 |
+
"step": 1220
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 0.39,
|
883 |
+
"grad_norm": 0.05338621512055397,
|
884 |
+
"learning_rate": 1.6755555555555557e-05,
|
885 |
+
"loss": 0.0343,
|
886 |
+
"step": 1230
|
887 |
+
},
|
888 |
+
{
|
889 |
+
"epoch": 0.39,
|
890 |
+
"grad_norm": 0.009272832423448563,
|
891 |
+
"learning_rate": 1.6711111111111112e-05,
|
892 |
+
"loss": 0.073,
|
893 |
+
"step": 1240
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"epoch": 0.39,
|
897 |
+
"grad_norm": 0.0033628540113568306,
|
898 |
+
"learning_rate": 1.6666666666666667e-05,
|
899 |
+
"loss": 0.0272,
|
900 |
+
"step": 1250
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 0.39,
|
904 |
+
"grad_norm": 0.055562809109687805,
|
905 |
+
"learning_rate": 1.6622222222222223e-05,
|
906 |
+
"loss": 0.0821,
|
907 |
+
"step": 1260
|
908 |
+
},
|
909 |
+
{
|
910 |
+
"epoch": 0.4,
|
911 |
+
"grad_norm": 1.6196753978729248,
|
912 |
+
"learning_rate": 1.6577777777777778e-05,
|
913 |
+
"loss": 0.0153,
|
914 |
+
"step": 1270
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 0.4,
|
918 |
+
"grad_norm": 0.004278264008462429,
|
919 |
+
"learning_rate": 1.6533333333333333e-05,
|
920 |
+
"loss": 0.022,
|
921 |
+
"step": 1280
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 0.4,
|
925 |
+
"grad_norm": 0.044023897498846054,
|
926 |
+
"learning_rate": 1.648888888888889e-05,
|
927 |
+
"loss": 0.0652,
|
928 |
+
"step": 1290
|
929 |
+
},
|
930 |
+
{
|
931 |
+
"epoch": 0.41,
|
932 |
+
"grad_norm": 0.08157920837402344,
|
933 |
+
"learning_rate": 1.6444444444444444e-05,
|
934 |
+
"loss": 0.0745,
|
935 |
+
"step": 1300
|
936 |
+
},
|
937 |
+
{
|
938 |
+
"epoch": 0.41,
|
939 |
+
"grad_norm": 2.1145012378692627,
|
940 |
+
"learning_rate": 1.64e-05,
|
941 |
+
"loss": 0.0497,
|
942 |
+
"step": 1310
|
943 |
+
},
|
944 |
+
{
|
945 |
+
"epoch": 0.41,
|
946 |
+
"grad_norm": 0.00495466822758317,
|
947 |
+
"learning_rate": 1.6355555555555557e-05,
|
948 |
+
"loss": 0.0688,
|
949 |
+
"step": 1320
|
950 |
+
},
|
951 |
+
{
|
952 |
+
"epoch": 0.42,
|
953 |
+
"grad_norm": 2.055875778198242,
|
954 |
+
"learning_rate": 1.6311111111111113e-05,
|
955 |
+
"loss": 0.0456,
|
956 |
+
"step": 1330
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 0.42,
|
960 |
+
"grad_norm": 7.260204315185547,
|
961 |
+
"learning_rate": 1.6266666666666668e-05,
|
962 |
+
"loss": 0.0968,
|
963 |
+
"step": 1340
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 0.42,
|
967 |
+
"grad_norm": 0.00300275138579309,
|
968 |
+
"learning_rate": 1.6222222222222223e-05,
|
969 |
+
"loss": 0.0031,
|
970 |
+
"step": 1350
|
971 |
+
},
|
972 |
+
{
|
973 |
+
"epoch": 0.43,
|
974 |
+
"grad_norm": 0.6148861050605774,
|
975 |
+
"learning_rate": 1.617777777777778e-05,
|
976 |
+
"loss": 0.1008,
|
977 |
+
"step": 1360
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 0.43,
|
981 |
+
"grad_norm": 0.005163553170859814,
|
982 |
+
"learning_rate": 1.6133333333333334e-05,
|
983 |
+
"loss": 0.0454,
|
984 |
+
"step": 1370
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 0.43,
|
988 |
+
"grad_norm": 3.313544988632202,
|
989 |
+
"learning_rate": 1.608888888888889e-05,
|
990 |
+
"loss": 0.0843,
|
991 |
+
"step": 1380
|
992 |
+
},
|
993 |
+
{
|
994 |
+
"epoch": 0.44,
|
995 |
+
"grad_norm": 0.061028964817523956,
|
996 |
+
"learning_rate": 1.6044444444444444e-05,
|
997 |
+
"loss": 0.0467,
|
998 |
+
"step": 1390
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 0.44,
|
1002 |
+
"grad_norm": 0.011183706112205982,
|
1003 |
+
"learning_rate": 1.6000000000000003e-05,
|
1004 |
+
"loss": 0.0539,
|
1005 |
+
"step": 1400
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 0.44,
|
1009 |
+
"grad_norm": 0.00391357159242034,
|
1010 |
+
"learning_rate": 1.5955555555555558e-05,
|
1011 |
+
"loss": 0.007,
|
1012 |
+
"step": 1410
|
1013 |
+
},
|
1014 |
+
{
|
1015 |
+
"epoch": 0.44,
|
1016 |
+
"grad_norm": 0.21193568408489227,
|
1017 |
+
"learning_rate": 1.5911111111111113e-05,
|
1018 |
+
"loss": 0.0723,
|
1019 |
+
"step": 1420
|
1020 |
+
},
|
1021 |
+
{
|
1022 |
+
"epoch": 0.45,
|
1023 |
+
"grad_norm": 1.344232201576233,
|
1024 |
+
"learning_rate": 1.586666666666667e-05,
|
1025 |
+
"loss": 0.0093,
|
1026 |
+
"step": 1430
|
1027 |
+
},
|
1028 |
+
{
|
1029 |
+
"epoch": 0.45,
|
1030 |
+
"grad_norm": 2.125556707382202,
|
1031 |
+
"learning_rate": 1.5822222222222224e-05,
|
1032 |
+
"loss": 0.1089,
|
1033 |
+
"step": 1440
|
1034 |
+
},
|
1035 |
+
{
|
1036 |
+
"epoch": 0.45,
|
1037 |
+
"grad_norm": 1.9358251094818115,
|
1038 |
+
"learning_rate": 1.577777777777778e-05,
|
1039 |
+
"loss": 0.129,
|
1040 |
+
"step": 1450
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 0.46,
|
1044 |
+
"grad_norm": 0.25835612416267395,
|
1045 |
+
"learning_rate": 1.5733333333333334e-05,
|
1046 |
+
"loss": 0.0225,
|
1047 |
+
"step": 1460
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 0.46,
|
1051 |
+
"grad_norm": 0.004413430579006672,
|
1052 |
+
"learning_rate": 1.5688888888888893e-05,
|
1053 |
+
"loss": 0.0184,
|
1054 |
+
"step": 1470
|
1055 |
+
},
|
1056 |
+
{
|
1057 |
+
"epoch": 0.46,
|
1058 |
+
"grad_norm": 2.6624996662139893,
|
1059 |
+
"learning_rate": 1.5644444444444448e-05,
|
1060 |
+
"loss": 0.0924,
|
1061 |
+
"step": 1480
|
1062 |
+
},
|
1063 |
+
{
|
1064 |
+
"epoch": 0.47,
|
1065 |
+
"grad_norm": 0.023669052869081497,
|
1066 |
+
"learning_rate": 1.5600000000000003e-05,
|
1067 |
+
"loss": 0.0468,
|
1068 |
+
"step": 1490
|
1069 |
+
},
|
1070 |
+
{
|
1071 |
+
"epoch": 0.47,
|
1072 |
+
"grad_norm": 0.9958231449127197,
|
1073 |
+
"learning_rate": 1.555555555555556e-05,
|
1074 |
+
"loss": 0.0602,
|
1075 |
+
"step": 1500
|
1076 |
+
},
|
1077 |
+
{
|
1078 |
+
"epoch": 0.47,
|
1079 |
+
"eval_loss": 0.023086324334144592,
|
1080 |
+
"eval_runtime": 62.044,
|
1081 |
+
"eval_samples_per_second": 16.118,
|
1082 |
+
"eval_steps_per_second": 16.118,
|
1083 |
+
"step": 1500
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 0.47,
|
1087 |
+
"grad_norm": 0.0457289032638073,
|
1088 |
+
"learning_rate": 1.5511111111111114e-05,
|
1089 |
+
"loss": 0.0725,
|
1090 |
+
"step": 1510
|
1091 |
+
},
|
1092 |
+
{
|
1093 |
+
"epoch": 0.48,
|
1094 |
+
"grad_norm": 2.0417847633361816,
|
1095 |
+
"learning_rate": 1.546666666666667e-05,
|
1096 |
+
"loss": 0.0446,
|
1097 |
+
"step": 1520
|
1098 |
+
},
|
1099 |
+
{
|
1100 |
+
"epoch": 0.48,
|
1101 |
+
"grad_norm": 0.007491718512028456,
|
1102 |
+
"learning_rate": 1.5422222222222224e-05,
|
1103 |
+
"loss": 0.0693,
|
1104 |
+
"step": 1530
|
1105 |
+
},
|
1106 |
+
{
|
1107 |
+
"epoch": 0.48,
|
1108 |
+
"grad_norm": 0.0023406276013702154,
|
1109 |
+
"learning_rate": 1.537777777777778e-05,
|
1110 |
+
"loss": 0.0398,
|
1111 |
+
"step": 1540
|
1112 |
+
},
|
1113 |
+
{
|
1114 |
+
"epoch": 0.49,
|
1115 |
+
"grad_norm": 0.03808426856994629,
|
1116 |
+
"learning_rate": 1.5333333333333334e-05,
|
1117 |
+
"loss": 0.0827,
|
1118 |
+
"step": 1550
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 0.49,
|
1122 |
+
"grad_norm": 0.04878142476081848,
|
1123 |
+
"learning_rate": 1.528888888888889e-05,
|
1124 |
+
"loss": 0.0094,
|
1125 |
+
"step": 1560
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 0.49,
|
1129 |
+
"grad_norm": 0.002342456951737404,
|
1130 |
+
"learning_rate": 1.5244444444444447e-05,
|
1131 |
+
"loss": 0.0308,
|
1132 |
+
"step": 1570
|
1133 |
+
},
|
1134 |
+
{
|
1135 |
+
"epoch": 0.5,
|
1136 |
+
"grad_norm": 0.002332750940695405,
|
1137 |
+
"learning_rate": 1.5200000000000002e-05,
|
1138 |
+
"loss": 0.0703,
|
1139 |
+
"step": 1580
|
1140 |
+
},
|
1141 |
+
{
|
1142 |
+
"epoch": 0.5,
|
1143 |
+
"grad_norm": 0.027806026861071587,
|
1144 |
+
"learning_rate": 1.5155555555555557e-05,
|
1145 |
+
"loss": 0.0577,
|
1146 |
+
"step": 1590
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 0.5,
|
1150 |
+
"grad_norm": 1.853770136833191,
|
1151 |
+
"learning_rate": 1.5111111111111112e-05,
|
1152 |
+
"loss": 0.0872,
|
1153 |
+
"step": 1600
|
1154 |
+
},
|
1155 |
+
{
|
1156 |
+
"epoch": 0.5,
|
1157 |
+
"grad_norm": 0.02809343859553337,
|
1158 |
+
"learning_rate": 1.5066666666666668e-05,
|
1159 |
+
"loss": 0.0651,
|
1160 |
+
"step": 1610
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 0.51,
|
1164 |
+
"grad_norm": 0.29635584354400635,
|
1165 |
+
"learning_rate": 1.5022222222222223e-05,
|
1166 |
+
"loss": 0.0784,
|
1167 |
+
"step": 1620
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"epoch": 0.51,
|
1171 |
+
"grad_norm": 0.006036743987351656,
|
1172 |
+
"learning_rate": 1.497777777777778e-05,
|
1173 |
+
"loss": 0.0702,
|
1174 |
+
"step": 1630
|
1175 |
+
},
|
1176 |
+
{
|
1177 |
+
"epoch": 0.51,
|
1178 |
+
"grad_norm": 0.0020562768913805485,
|
1179 |
+
"learning_rate": 1.4933333333333335e-05,
|
1180 |
+
"loss": 0.1133,
|
1181 |
+
"step": 1640
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 0.52,
|
1185 |
+
"grad_norm": 2.0853707790374756,
|
1186 |
+
"learning_rate": 1.488888888888889e-05,
|
1187 |
+
"loss": 0.0717,
|
1188 |
+
"step": 1650
|
1189 |
+
},
|
1190 |
+
{
|
1191 |
+
"epoch": 0.52,
|
1192 |
+
"grad_norm": 2.024653434753418,
|
1193 |
+
"learning_rate": 1.4844444444444445e-05,
|
1194 |
+
"loss": 0.0978,
|
1195 |
+
"step": 1660
|
1196 |
+
},
|
1197 |
+
{
|
1198 |
+
"epoch": 0.52,
|
1199 |
+
"grad_norm": 0.0029632914811372757,
|
1200 |
+
"learning_rate": 1.48e-05,
|
1201 |
+
"loss": 0.0269,
|
1202 |
+
"step": 1670
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 0.53,
|
1206 |
+
"grad_norm": 3.2619192600250244,
|
1207 |
+
"learning_rate": 1.4755555555555556e-05,
|
1208 |
+
"loss": 0.088,
|
1209 |
+
"step": 1680
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 0.53,
|
1213 |
+
"grad_norm": 0.9590596556663513,
|
1214 |
+
"learning_rate": 1.4711111111111111e-05,
|
1215 |
+
"loss": 0.0348,
|
1216 |
+
"step": 1690
|
1217 |
+
},
|
1218 |
+
{
|
1219 |
+
"epoch": 0.53,
|
1220 |
+
"grad_norm": 0.01058279536664486,
|
1221 |
+
"learning_rate": 1.4666666666666666e-05,
|
1222 |
+
"loss": 0.0473,
|
1223 |
+
"step": 1700
|
1224 |
+
},
|
1225 |
+
{
|
1226 |
+
"epoch": 0.54,
|
1227 |
+
"grad_norm": 4.378236293792725,
|
1228 |
+
"learning_rate": 1.4622222222222225e-05,
|
1229 |
+
"loss": 0.0839,
|
1230 |
+
"step": 1710
|
1231 |
+
},
|
1232 |
+
{
|
1233 |
+
"epoch": 0.54,
|
1234 |
+
"grad_norm": 0.04728490114212036,
|
1235 |
+
"learning_rate": 1.457777777777778e-05,
|
1236 |
+
"loss": 0.1131,
|
1237 |
+
"step": 1720
|
1238 |
+
},
|
1239 |
+
{
|
1240 |
+
"epoch": 0.54,
|
1241 |
+
"grad_norm": 0.03082725591957569,
|
1242 |
+
"learning_rate": 1.4533333333333335e-05,
|
1243 |
+
"loss": 0.058,
|
1244 |
+
"step": 1730
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 0.55,
|
1248 |
+
"grad_norm": 1.4159008264541626,
|
1249 |
+
"learning_rate": 1.448888888888889e-05,
|
1250 |
+
"loss": 0.027,
|
1251 |
+
"step": 1740
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 0.55,
|
1255 |
+
"grad_norm": 0.09299231320619583,
|
1256 |
+
"learning_rate": 1.4444444444444446e-05,
|
1257 |
+
"loss": 0.0152,
|
1258 |
+
"step": 1750
|
1259 |
+
},
|
1260 |
+
{
|
1261 |
+
"epoch": 0.55,
|
1262 |
+
"grad_norm": 0.0018398365937173367,
|
1263 |
+
"learning_rate": 1.4400000000000001e-05,
|
1264 |
+
"loss": 0.0005,
|
1265 |
+
"step": 1760
|
1266 |
+
},
|
1267 |
+
{
|
1268 |
+
"epoch": 0.55,
|
1269 |
+
"grad_norm": 0.0032970942556858063,
|
1270 |
+
"learning_rate": 1.4355555555555556e-05,
|
1271 |
+
"loss": 0.068,
|
1272 |
+
"step": 1770
|
1273 |
+
},
|
1274 |
+
{
|
1275 |
+
"epoch": 0.56,
|
1276 |
+
"grad_norm": 1.9869989156723022,
|
1277 |
+
"learning_rate": 1.4311111111111111e-05,
|
1278 |
+
"loss": 0.0802,
|
1279 |
+
"step": 1780
|
1280 |
+
},
|
1281 |
+
{
|
1282 |
+
"epoch": 0.56,
|
1283 |
+
"grad_norm": 0.4349244236946106,
|
1284 |
+
"learning_rate": 1.4266666666666668e-05,
|
1285 |
+
"loss": 0.0022,
|
1286 |
+
"step": 1790
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 0.56,
|
1290 |
+
"grad_norm": 6.195014476776123,
|
1291 |
+
"learning_rate": 1.4222222222222224e-05,
|
1292 |
+
"loss": 0.075,
|
1293 |
+
"step": 1800
|
1294 |
+
},
|
1295 |
+
{
|
1296 |
+
"epoch": 0.57,
|
1297 |
+
"grad_norm": 4.658276557922363,
|
1298 |
+
"learning_rate": 1.4177777777777779e-05,
|
1299 |
+
"loss": 0.0341,
|
1300 |
+
"step": 1810
|
1301 |
+
},
|
1302 |
+
{
|
1303 |
+
"epoch": 0.57,
|
1304 |
+
"grad_norm": 2.3556618690490723,
|
1305 |
+
"learning_rate": 1.4133333333333334e-05,
|
1306 |
+
"loss": 0.0735,
|
1307 |
+
"step": 1820
|
1308 |
+
},
|
1309 |
+
{
|
1310 |
+
"epoch": 0.57,
|
1311 |
+
"grad_norm": 0.00235918490216136,
|
1312 |
+
"learning_rate": 1.408888888888889e-05,
|
1313 |
+
"loss": 0.0133,
|
1314 |
+
"step": 1830
|
1315 |
+
},
|
1316 |
+
{
|
1317 |
+
"epoch": 0.58,
|
1318 |
+
"grad_norm": 0.0019710322376340628,
|
1319 |
+
"learning_rate": 1.4044444444444445e-05,
|
1320 |
+
"loss": 0.0714,
|
1321 |
+
"step": 1840
|
1322 |
+
},
|
1323 |
+
{
|
1324 |
+
"epoch": 0.58,
|
1325 |
+
"grad_norm": 0.0038756057620048523,
|
1326 |
+
"learning_rate": 1.4e-05,
|
1327 |
+
"loss": 0.058,
|
1328 |
+
"step": 1850
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 0.58,
|
1332 |
+
"grad_norm": 0.13870251178741455,
|
1333 |
+
"learning_rate": 1.3955555555555558e-05,
|
1334 |
+
"loss": 0.0598,
|
1335 |
+
"step": 1860
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 0.59,
|
1339 |
+
"grad_norm": 0.0035449981223791838,
|
1340 |
+
"learning_rate": 1.3911111111111114e-05,
|
1341 |
+
"loss": 0.0825,
|
1342 |
+
"step": 1870
|
1343 |
+
},
|
1344 |
+
{
|
1345 |
+
"epoch": 0.59,
|
1346 |
+
"grad_norm": 0.005458540748804808,
|
1347 |
+
"learning_rate": 1.3866666666666669e-05,
|
1348 |
+
"loss": 0.0485,
|
1349 |
+
"step": 1880
|
1350 |
+
},
|
1351 |
+
{
|
1352 |
+
"epoch": 0.59,
|
1353 |
+
"grad_norm": 0.0037788543850183487,
|
1354 |
+
"learning_rate": 1.3822222222222224e-05,
|
1355 |
+
"loss": 0.0279,
|
1356 |
+
"step": 1890
|
1357 |
+
},
|
1358 |
+
{
|
1359 |
+
"epoch": 0.6,
|
1360 |
+
"grad_norm": 2.4127650260925293,
|
1361 |
+
"learning_rate": 1.377777777777778e-05,
|
1362 |
+
"loss": 0.0414,
|
1363 |
+
"step": 1900
|
1364 |
+
},
|
1365 |
+
{
|
1366 |
+
"epoch": 0.6,
|
1367 |
+
"grad_norm": 1.9315361976623535,
|
1368 |
+
"learning_rate": 1.3733333333333335e-05,
|
1369 |
+
"loss": 0.0541,
|
1370 |
+
"step": 1910
|
1371 |
+
},
|
1372 |
+
{
|
1373 |
+
"epoch": 0.6,
|
1374 |
+
"grad_norm": 0.001827953034080565,
|
1375 |
+
"learning_rate": 1.368888888888889e-05,
|
1376 |
+
"loss": 0.0607,
|
1377 |
+
"step": 1920
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"epoch": 0.6,
|
1381 |
+
"grad_norm": 3.0561037063598633,
|
1382 |
+
"learning_rate": 1.3644444444444445e-05,
|
1383 |
+
"loss": 0.0489,
|
1384 |
+
"step": 1930
|
1385 |
+
},
|
1386 |
+
{
|
1387 |
+
"epoch": 0.61,
|
1388 |
+
"grad_norm": 1.7366918325424194,
|
1389 |
+
"learning_rate": 1.3600000000000002e-05,
|
1390 |
+
"loss": 0.0107,
|
1391 |
+
"step": 1940
|
1392 |
+
},
|
1393 |
+
{
|
1394 |
+
"epoch": 0.61,
|
1395 |
+
"grad_norm": 0.0025562909431755543,
|
1396 |
+
"learning_rate": 1.3555555555555557e-05,
|
1397 |
+
"loss": 0.0305,
|
1398 |
+
"step": 1950
|
1399 |
+
},
|
1400 |
+
{
|
1401 |
+
"epoch": 0.61,
|
1402 |
+
"grad_norm": 0.006456757429987192,
|
1403 |
+
"learning_rate": 1.3511111111111112e-05,
|
1404 |
+
"loss": 0.0741,
|
1405 |
+
"step": 1960
|
1406 |
+
},
|
1407 |
+
{
|
1408 |
+
"epoch": 0.62,
|
1409 |
+
"grad_norm": 0.003276415169239044,
|
1410 |
+
"learning_rate": 1.3466666666666668e-05,
|
1411 |
+
"loss": 0.0276,
|
1412 |
+
"step": 1970
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 0.62,
|
1416 |
+
"grad_norm": 0.0036139176227152348,
|
1417 |
+
"learning_rate": 1.3422222222222223e-05,
|
1418 |
+
"loss": 0.0886,
|
1419 |
+
"step": 1980
|
1420 |
+
},
|
1421 |
+
{
|
1422 |
+
"epoch": 0.62,
|
1423 |
+
"grad_norm": 0.006649693939834833,
|
1424 |
+
"learning_rate": 1.3377777777777778e-05,
|
1425 |
+
"loss": 0.0179,
|
1426 |
+
"step": 1990
|
1427 |
+
},
|
1428 |
+
{
|
1429 |
+
"epoch": 0.63,
|
1430 |
+
"grad_norm": 0.002991742454469204,
|
1431 |
+
"learning_rate": 1.3333333333333333e-05,
|
1432 |
+
"loss": 0.0372,
|
1433 |
+
"step": 2000
|
1434 |
+
},
|
1435 |
+
{
|
1436 |
+
"epoch": 0.63,
|
1437 |
+
"eval_loss": 0.018313532695174217,
|
1438 |
+
"eval_runtime": 62.0835,
|
1439 |
+
"eval_samples_per_second": 16.107,
|
1440 |
+
"eval_steps_per_second": 16.107,
|
1441 |
+
"step": 2000
|
1442 |
}
|
1443 |
],
|
1444 |
"logging_steps": 10,
|
|
|
1446 |
"num_input_tokens_seen": 0,
|
1447 |
"num_train_epochs": 2,
|
1448 |
"save_steps": 1000,
|
1449 |
+
"total_flos": 3.2204251987968e+16,
|
1450 |
"train_batch_size": 1,
|
1451 |
"trial_name": null,
|
1452 |
"trial_params": null
|