Instructions to use cimol/f7526a94-e690-4cf4-b3d9-bb77f3736062 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/f7526a94-e690-4cf4-b3d9-bb77f3736062 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/opt-125m") model = PeftModel.from_pretrained(base_model, "cimol/f7526a94-e690-4cf4-b3d9-bb77f3736062") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 150, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 42487072
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f7a5ccfb98de4d6f80d5837e47aa1f84e24baf59e16727744e91bf214a2a01a1
|
| 3 |
size 42487072
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 21735354
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f93e3c4252e719fb8a30907a5d399b5e08d810501ab448d20b65e2961cd22527
|
| 3 |
size 21735354
|
last-checkpoint/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 sha256:83a1ea08ccda8d30027e92f45893c70b3930f49c86ce39f913cdccab9295a850
|
| 3 |
size 14244
|
last-checkpoint/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:b26348e70deb5f7d6cee52f5eb084c0e6829440001a3c6d0128b93cd074af8c2
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 1.
|
| 3 |
-
"best_model_checkpoint": "miner_id_24/checkpoint-
|
| 4 |
-
"epoch": 0.
|
| 5 |
"eval_steps": 50,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -731,6 +731,364 @@
|
|
| 731 |
"eval_samples_per_second": 155.964,
|
| 732 |
"eval_steps_per_second": 39.001,
|
| 733 |
"step": 100
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 734 |
}
|
| 735 |
],
|
| 736 |
"logging_steps": 1,
|
|
@@ -759,7 +1117,7 @@
|
|
| 759 |
"attributes": {}
|
| 760 |
}
|
| 761 |
},
|
| 762 |
-
"total_flos":
|
| 763 |
"train_batch_size": 8,
|
| 764 |
"trial_name": null,
|
| 765 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 1.6964772939682007,
|
| 3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-150",
|
| 4 |
+
"epoch": 0.03372870875259992,
|
| 5 |
"eval_steps": 50,
|
| 6 |
+
"global_step": 150,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 731 |
"eval_samples_per_second": 155.964,
|
| 732 |
"eval_steps_per_second": 39.001,
|
| 733 |
"step": 100
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"epoch": 0.02271066389341728,
|
| 737 |
+
"grad_norm": 6.575685501098633,
|
| 738 |
+
"learning_rate": 3.7313170451399475e-05,
|
| 739 |
+
"loss": 7.2894,
|
| 740 |
+
"step": 101
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 0.022935521951767946,
|
| 744 |
+
"grad_norm": 6.561682224273682,
|
| 745 |
+
"learning_rate": 3.673543141356278e-05,
|
| 746 |
+
"loss": 6.4716,
|
| 747 |
+
"step": 102
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 0.023160380010118612,
|
| 751 |
+
"grad_norm": 5.794161319732666,
|
| 752 |
+
"learning_rate": 3.6157217926105783e-05,
|
| 753 |
+
"loss": 7.337,
|
| 754 |
+
"step": 103
|
| 755 |
+
},
|
| 756 |
+
{
|
| 757 |
+
"epoch": 0.023385238068469278,
|
| 758 |
+
"grad_norm": 5.027132987976074,
|
| 759 |
+
"learning_rate": 3.557868806682255e-05,
|
| 760 |
+
"loss": 6.8254,
|
| 761 |
+
"step": 104
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 0.023610096126819944,
|
| 765 |
+
"grad_norm": 4.253400802612305,
|
| 766 |
+
"learning_rate": 3.5e-05,
|
| 767 |
+
"loss": 6.682,
|
| 768 |
+
"step": 105
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"epoch": 0.02383495418517061,
|
| 772 |
+
"grad_norm": 4.0080976486206055,
|
| 773 |
+
"learning_rate": 3.442131193317745e-05,
|
| 774 |
+
"loss": 6.9726,
|
| 775 |
+
"step": 106
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"epoch": 0.024059812243521276,
|
| 779 |
+
"grad_norm": 3.925318956375122,
|
| 780 |
+
"learning_rate": 3.384278207389421e-05,
|
| 781 |
+
"loss": 7.1604,
|
| 782 |
+
"step": 107
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 0.024284670301871942,
|
| 786 |
+
"grad_norm": 3.8543312549591064,
|
| 787 |
+
"learning_rate": 3.3264568586437216e-05,
|
| 788 |
+
"loss": 7.5658,
|
| 789 |
+
"step": 108
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 0.024509528360222608,
|
| 793 |
+
"grad_norm": 3.496502161026001,
|
| 794 |
+
"learning_rate": 3.268682954860052e-05,
|
| 795 |
+
"loss": 7.2625,
|
| 796 |
+
"step": 109
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"epoch": 0.024734386418573277,
|
| 800 |
+
"grad_norm": 3.215040683746338,
|
| 801 |
+
"learning_rate": 3.210972290846837e-05,
|
| 802 |
+
"loss": 7.118,
|
| 803 |
+
"step": 110
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 0.024959244476923943,
|
| 807 |
+
"grad_norm": 3.2703866958618164,
|
| 808 |
+
"learning_rate": 3.15334064412338e-05,
|
| 809 |
+
"loss": 7.3476,
|
| 810 |
+
"step": 111
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 0.02518410253527461,
|
| 814 |
+
"grad_norm": 3.07417631149292,
|
| 815 |
+
"learning_rate": 3.0958037706064485e-05,
|
| 816 |
+
"loss": 7.2336,
|
| 817 |
+
"step": 112
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"epoch": 0.025408960593625275,
|
| 821 |
+
"grad_norm": 2.8557777404785156,
|
| 822 |
+
"learning_rate": 3.038377400302758e-05,
|
| 823 |
+
"loss": 7.4806,
|
| 824 |
+
"step": 113
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 0.02563381865197594,
|
| 828 |
+
"grad_norm": 3.039578437805176,
|
| 829 |
+
"learning_rate": 2.9810772330085524e-05,
|
| 830 |
+
"loss": 7.6272,
|
| 831 |
+
"step": 114
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 0.025858676710326607,
|
| 835 |
+
"grad_norm": 2.9298548698425293,
|
| 836 |
+
"learning_rate": 2.9239189340174306e-05,
|
| 837 |
+
"loss": 7.2133,
|
| 838 |
+
"step": 115
|
| 839 |
+
},
|
| 840 |
+
{
|
| 841 |
+
"epoch": 0.026083534768677273,
|
| 842 |
+
"grad_norm": 3.0700254440307617,
|
| 843 |
+
"learning_rate": 2.8669181298376163e-05,
|
| 844 |
+
"loss": 7.0055,
|
| 845 |
+
"step": 116
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"epoch": 0.02630839282702794,
|
| 849 |
+
"grad_norm": 3.125459909439087,
|
| 850 |
+
"learning_rate": 2.8100904039198193e-05,
|
| 851 |
+
"loss": 7.3118,
|
| 852 |
+
"step": 117
|
| 853 |
+
},
|
| 854 |
+
{
|
| 855 |
+
"epoch": 0.026533250885378605,
|
| 856 |
+
"grad_norm": 3.14284348487854,
|
| 857 |
+
"learning_rate": 2.7534512923968863e-05,
|
| 858 |
+
"loss": 7.2339,
|
| 859 |
+
"step": 118
|
| 860 |
+
},
|
| 861 |
+
{
|
| 862 |
+
"epoch": 0.02675810894372927,
|
| 863 |
+
"grad_norm": 3.078021764755249,
|
| 864 |
+
"learning_rate": 2.6970162798363695e-05,
|
| 865 |
+
"loss": 7.3749,
|
| 866 |
+
"step": 119
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 0.026982967002079937,
|
| 870 |
+
"grad_norm": 3.031780242919922,
|
| 871 |
+
"learning_rate": 2.640800795007203e-05,
|
| 872 |
+
"loss": 6.9027,
|
| 873 |
+
"step": 120
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 0.027207825060430603,
|
| 877 |
+
"grad_norm": 3.0387516021728516,
|
| 878 |
+
"learning_rate": 2.5848202066616305e-05,
|
| 879 |
+
"loss": 7.2115,
|
| 880 |
+
"step": 121
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"epoch": 0.02743268311878127,
|
| 884 |
+
"grad_norm": 2.979473114013672,
|
| 885 |
+
"learning_rate": 2.5290898193335446e-05,
|
| 886 |
+
"loss": 6.9756,
|
| 887 |
+
"step": 122
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
"epoch": 0.027657541177131935,
|
| 891 |
+
"grad_norm": 3.1113784313201904,
|
| 892 |
+
"learning_rate": 2.4736248691543736e-05,
|
| 893 |
+
"loss": 7.3174,
|
| 894 |
+
"step": 123
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"epoch": 0.0278823992354826,
|
| 898 |
+
"grad_norm": 3.0304317474365234,
|
| 899 |
+
"learning_rate": 2.4184405196876842e-05,
|
| 900 |
+
"loss": 7.1829,
|
| 901 |
+
"step": 124
|
| 902 |
+
},
|
| 903 |
+
{
|
| 904 |
+
"epoch": 0.028107257293833267,
|
| 905 |
+
"grad_norm": 3.099127769470215,
|
| 906 |
+
"learning_rate": 2.363551857783608e-05,
|
| 907 |
+
"loss": 7.318,
|
| 908 |
+
"step": 125
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 0.028332115352183933,
|
| 912 |
+
"grad_norm": 2.9800901412963867,
|
| 913 |
+
"learning_rate": 2.308973889454249e-05,
|
| 914 |
+
"loss": 6.64,
|
| 915 |
+
"step": 126
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 0.0285569734105346,
|
| 919 |
+
"grad_norm": 2.998429298400879,
|
| 920 |
+
"learning_rate": 2.2547215357711918e-05,
|
| 921 |
+
"loss": 6.9941,
|
| 922 |
+
"step": 127
|
| 923 |
+
},
|
| 924 |
+
{
|
| 925 |
+
"epoch": 0.028781831468885265,
|
| 926 |
+
"grad_norm": 3.0381429195404053,
|
| 927 |
+
"learning_rate": 2.2008096287862266e-05,
|
| 928 |
+
"loss": 6.9807,
|
| 929 |
+
"step": 128
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 0.02900668952723593,
|
| 933 |
+
"grad_norm": 3.2804617881774902,
|
| 934 |
+
"learning_rate": 2.1472529074764177e-05,
|
| 935 |
+
"loss": 6.793,
|
| 936 |
+
"step": 129
|
| 937 |
+
},
|
| 938 |
+
{
|
| 939 |
+
"epoch": 0.0292315475855866,
|
| 940 |
+
"grad_norm": 3.163376808166504,
|
| 941 |
+
"learning_rate": 2.0940660137146074e-05,
|
| 942 |
+
"loss": 6.9028,
|
| 943 |
+
"step": 130
|
| 944 |
+
},
|
| 945 |
+
{
|
| 946 |
+
"epoch": 0.029456405643937266,
|
| 947 |
+
"grad_norm": 3.193079948425293,
|
| 948 |
+
"learning_rate": 2.041263488266484e-05,
|
| 949 |
+
"loss": 6.8241,
|
| 950 |
+
"step": 131
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 0.029681263702287932,
|
| 954 |
+
"grad_norm": 3.1600944995880127,
|
| 955 |
+
"learning_rate": 1.988859766815275e-05,
|
| 956 |
+
"loss": 6.7863,
|
| 957 |
+
"step": 132
|
| 958 |
+
},
|
| 959 |
+
{
|
| 960 |
+
"epoch": 0.029906121760638598,
|
| 961 |
+
"grad_norm": 3.254242181777954,
|
| 962 |
+
"learning_rate": 1.9368691760151773e-05,
|
| 963 |
+
"loss": 7.0383,
|
| 964 |
+
"step": 133
|
| 965 |
+
},
|
| 966 |
+
{
|
| 967 |
+
"epoch": 0.030130979818989264,
|
| 968 |
+
"grad_norm": 3.606218099594116,
|
| 969 |
+
"learning_rate": 1.885305929574593e-05,
|
| 970 |
+
"loss": 7.2774,
|
| 971 |
+
"step": 134
|
| 972 |
+
},
|
| 973 |
+
{
|
| 974 |
+
"epoch": 0.03035583787733993,
|
| 975 |
+
"grad_norm": 3.574589729309082,
|
| 976 |
+
"learning_rate": 1.8341841243702424e-05,
|
| 977 |
+
"loss": 7.4021,
|
| 978 |
+
"step": 135
|
| 979 |
+
},
|
| 980 |
+
{
|
| 981 |
+
"epoch": 0.030580695935690596,
|
| 982 |
+
"grad_norm": 3.768498182296753,
|
| 983 |
+
"learning_rate": 1.7835177365932225e-05,
|
| 984 |
+
"loss": 7.3057,
|
| 985 |
+
"step": 136
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"epoch": 0.030805553994041262,
|
| 989 |
+
"grad_norm": 3.9681766033172607,
|
| 990 |
+
"learning_rate": 1.7333206179280478e-05,
|
| 991 |
+
"loss": 7.0184,
|
| 992 |
+
"step": 137
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 0.031030412052391928,
|
| 996 |
+
"grad_norm": 4.057465553283691,
|
| 997 |
+
"learning_rate": 1.6836064917657478e-05,
|
| 998 |
+
"loss": 6.977,
|
| 999 |
+
"step": 138
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"epoch": 0.03125527011074259,
|
| 1003 |
+
"grad_norm": 4.279487609863281,
|
| 1004 |
+
"learning_rate": 1.6343889494520224e-05,
|
| 1005 |
+
"loss": 6.9698,
|
| 1006 |
+
"step": 139
|
| 1007 |
+
},
|
| 1008 |
+
{
|
| 1009 |
+
"epoch": 0.03148012816909326,
|
| 1010 |
+
"grad_norm": 4.120497703552246,
|
| 1011 |
+
"learning_rate": 1.5856814465715064e-05,
|
| 1012 |
+
"loss": 7.0837,
|
| 1013 |
+
"step": 140
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 0.03170498622744393,
|
| 1017 |
+
"grad_norm": 4.96183967590332,
|
| 1018 |
+
"learning_rate": 1.5374972992691458e-05,
|
| 1019 |
+
"loss": 7.4653,
|
| 1020 |
+
"step": 141
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 0.031929844285794595,
|
| 1024 |
+
"grad_norm": 4.879161357879639,
|
| 1025 |
+
"learning_rate": 1.4898496806096974e-05,
|
| 1026 |
+
"loss": 7.0564,
|
| 1027 |
+
"step": 142
|
| 1028 |
+
},
|
| 1029 |
+
{
|
| 1030 |
+
"epoch": 0.03215470234414526,
|
| 1031 |
+
"grad_norm": 4.891727447509766,
|
| 1032 |
+
"learning_rate": 1.4427516169763444e-05,
|
| 1033 |
+
"loss": 6.9364,
|
| 1034 |
+
"step": 143
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 0.03237956040249593,
|
| 1038 |
+
"grad_norm": 5.83298397064209,
|
| 1039 |
+
"learning_rate": 1.396215984509412e-05,
|
| 1040 |
+
"loss": 7.1989,
|
| 1041 |
+
"step": 144
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 0.03260441846084659,
|
| 1045 |
+
"grad_norm": 6.435450077056885,
|
| 1046 |
+
"learning_rate": 1.3502555055861625e-05,
|
| 1047 |
+
"loss": 7.4763,
|
| 1048 |
+
"step": 145
|
| 1049 |
+
},
|
| 1050 |
+
{
|
| 1051 |
+
"epoch": 0.03282927651919726,
|
| 1052 |
+
"grad_norm": 6.232485771179199,
|
| 1053 |
+
"learning_rate": 1.3048827453426203e-05,
|
| 1054 |
+
"loss": 7.0989,
|
| 1055 |
+
"step": 146
|
| 1056 |
+
},
|
| 1057 |
+
{
|
| 1058 |
+
"epoch": 0.033054134577547925,
|
| 1059 |
+
"grad_norm": 8.634939193725586,
|
| 1060 |
+
"learning_rate": 1.2601101082383917e-05,
|
| 1061 |
+
"loss": 7.3157,
|
| 1062 |
+
"step": 147
|
| 1063 |
+
},
|
| 1064 |
+
{
|
| 1065 |
+
"epoch": 0.03327899263589859,
|
| 1066 |
+
"grad_norm": 7.819792747497559,
|
| 1067 |
+
"learning_rate": 1.2159498346654094e-05,
|
| 1068 |
+
"loss": 7.7224,
|
| 1069 |
+
"step": 148
|
| 1070 |
+
},
|
| 1071 |
+
{
|
| 1072 |
+
"epoch": 0.03350385069424926,
|
| 1073 |
+
"grad_norm": 10.099474906921387,
|
| 1074 |
+
"learning_rate": 1.1724139976015306e-05,
|
| 1075 |
+
"loss": 7.0663,
|
| 1076 |
+
"step": 149
|
| 1077 |
+
},
|
| 1078 |
+
{
|
| 1079 |
+
"epoch": 0.03372870875259992,
|
| 1080 |
+
"grad_norm": 13.547322273254395,
|
| 1081 |
+
"learning_rate": 1.1295144993099068e-05,
|
| 1082 |
+
"loss": 7.1442,
|
| 1083 |
+
"step": 150
|
| 1084 |
+
},
|
| 1085 |
+
{
|
| 1086 |
+
"epoch": 0.03372870875259992,
|
| 1087 |
+
"eval_loss": 1.6964772939682007,
|
| 1088 |
+
"eval_runtime": 48.0755,
|
| 1089 |
+
"eval_samples_per_second": 155.797,
|
| 1090 |
+
"eval_steps_per_second": 38.96,
|
| 1091 |
+
"step": 150
|
| 1092 |
}
|
| 1093 |
],
|
| 1094 |
"logging_steps": 1,
|
|
|
|
| 1117 |
"attributes": {}
|
| 1118 |
}
|
| 1119 |
},
|
| 1120 |
+
"total_flos": 3169492439924736.0,
|
| 1121 |
"train_batch_size": 8,
|
| 1122 |
"trial_name": null,
|
| 1123 |
"trial_params": null
|