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 479005064
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f53dd43b2abea6bb22908267f76f436b117145ab9368a98260a9c542d933798f
|
| 3 |
size 479005064
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 958299770
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:af465da49c4bfda42091a2ea385b02ec734fcef5f84bb8660e46e95c9f5af07a
|
| 3 |
size 958299770
|
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 sha256:0c77a731a0272264625bc90759d3435f5f1af8a50c530c44fa549c1dd7e63a9d
|
| 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:f4c9c807f0681c8b7e53ada9b6ec3dba530d303de7da0d0a0562a3d8d0bbba08
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 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": 18.943,
|
| 732 |
"eval_steps_per_second": 9.472,
|
| 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": 0.05704093724489212,
|
| 3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-150",
|
| 4 |
+
"epoch": 0.0649772579597141,
|
| 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": 18.943,
|
| 732 |
"eval_steps_per_second": 9.472,
|
| 733 |
"step": 100
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"epoch": 0.04375135369287416,
|
| 737 |
+
"grad_norm": 0.9752314686775208,
|
| 738 |
+
"learning_rate": 5.782172325201155e-05,
|
| 739 |
+
"loss": 0.1654,
|
| 740 |
+
"step": 101
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 0.044184535412605586,
|
| 744 |
+
"grad_norm": 0.903446614742279,
|
| 745 |
+
"learning_rate": 5.695865504800327e-05,
|
| 746 |
+
"loss": 0.1832,
|
| 747 |
+
"step": 102
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 0.04461771713233702,
|
| 751 |
+
"grad_norm": 0.6539014577865601,
|
| 752 |
+
"learning_rate": 5.6093467170257374e-05,
|
| 753 |
+
"loss": 0.1592,
|
| 754 |
+
"step": 103
|
| 755 |
+
},
|
| 756 |
+
{
|
| 757 |
+
"epoch": 0.04505089885206844,
|
| 758 |
+
"grad_norm": 0.4455128014087677,
|
| 759 |
+
"learning_rate": 5.522642316338268e-05,
|
| 760 |
+
"loss": 0.1276,
|
| 761 |
+
"step": 104
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 0.04548408057179987,
|
| 765 |
+
"grad_norm": 0.5171334743499756,
|
| 766 |
+
"learning_rate": 5.435778713738292e-05,
|
| 767 |
+
"loss": 0.1779,
|
| 768 |
+
"step": 105
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"epoch": 0.0459172622915313,
|
| 772 |
+
"grad_norm": 0.6053957343101501,
|
| 773 |
+
"learning_rate": 5.348782368720626e-05,
|
| 774 |
+
"loss": 0.1559,
|
| 775 |
+
"step": 106
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"epoch": 0.046350444011262724,
|
| 779 |
+
"grad_norm": 0.5147733092308044,
|
| 780 |
+
"learning_rate": 5.26167978121472e-05,
|
| 781 |
+
"loss": 0.1247,
|
| 782 |
+
"step": 107
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 0.04678362573099415,
|
| 786 |
+
"grad_norm": 0.6188340783119202,
|
| 787 |
+
"learning_rate": 5.174497483512506e-05,
|
| 788 |
+
"loss": 0.1215,
|
| 789 |
+
"step": 108
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 0.04721680745072558,
|
| 793 |
+
"grad_norm": 0.4769625663757324,
|
| 794 |
+
"learning_rate": 5.0872620321864185e-05,
|
| 795 |
+
"loss": 0.1144,
|
| 796 |
+
"step": 109
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"epoch": 0.047649989170457006,
|
| 800 |
+
"grad_norm": 0.5022192597389221,
|
| 801 |
+
"learning_rate": 5e-05,
|
| 802 |
+
"loss": 0.1214,
|
| 803 |
+
"step": 110
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 0.04808317089018843,
|
| 807 |
+
"grad_norm": 0.3280904293060303,
|
| 808 |
+
"learning_rate": 4.912737967813583e-05,
|
| 809 |
+
"loss": 0.0796,
|
| 810 |
+
"step": 111
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 0.04851635260991986,
|
| 814 |
+
"grad_norm": 0.5279192328453064,
|
| 815 |
+
"learning_rate": 4.825502516487497e-05,
|
| 816 |
+
"loss": 0.1151,
|
| 817 |
+
"step": 112
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"epoch": 0.04894953432965129,
|
| 821 |
+
"grad_norm": 0.47400593757629395,
|
| 822 |
+
"learning_rate": 4.738320218785281e-05,
|
| 823 |
+
"loss": 0.1186,
|
| 824 |
+
"step": 113
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 0.04938271604938271,
|
| 828 |
+
"grad_norm": 0.6582249999046326,
|
| 829 |
+
"learning_rate": 4.6512176312793736e-05,
|
| 830 |
+
"loss": 0.0961,
|
| 831 |
+
"step": 114
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 0.049815897769114145,
|
| 835 |
+
"grad_norm": 0.40480566024780273,
|
| 836 |
+
"learning_rate": 4.564221286261709e-05,
|
| 837 |
+
"loss": 0.0765,
|
| 838 |
+
"step": 115
|
| 839 |
+
},
|
| 840 |
+
{
|
| 841 |
+
"epoch": 0.05024907948884557,
|
| 842 |
+
"grad_norm": 0.3763730823993683,
|
| 843 |
+
"learning_rate": 4.477357683661734e-05,
|
| 844 |
+
"loss": 0.0739,
|
| 845 |
+
"step": 116
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"epoch": 0.050682261208576995,
|
| 849 |
+
"grad_norm": 0.40720927715301514,
|
| 850 |
+
"learning_rate": 4.390653282974264e-05,
|
| 851 |
+
"loss": 0.0798,
|
| 852 |
+
"step": 117
|
| 853 |
+
},
|
| 854 |
+
{
|
| 855 |
+
"epoch": 0.05111544292830843,
|
| 856 |
+
"grad_norm": 0.7141808271408081,
|
| 857 |
+
"learning_rate": 4.3041344951996746e-05,
|
| 858 |
+
"loss": 0.0874,
|
| 859 |
+
"step": 118
|
| 860 |
+
},
|
| 861 |
+
{
|
| 862 |
+
"epoch": 0.05154862464803985,
|
| 863 |
+
"grad_norm": 0.5295721888542175,
|
| 864 |
+
"learning_rate": 4.2178276747988446e-05,
|
| 865 |
+
"loss": 0.0861,
|
| 866 |
+
"step": 119
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 0.05198180636777128,
|
| 870 |
+
"grad_norm": 0.3550686240196228,
|
| 871 |
+
"learning_rate": 4.131759111665349e-05,
|
| 872 |
+
"loss": 0.0749,
|
| 873 |
+
"step": 120
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 0.05241498808750271,
|
| 877 |
+
"grad_norm": 0.5598456859588623,
|
| 878 |
+
"learning_rate": 4.045955023117276e-05,
|
| 879 |
+
"loss": 0.139,
|
| 880 |
+
"step": 121
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"epoch": 0.052848169807234134,
|
| 884 |
+
"grad_norm": 0.3951553702354431,
|
| 885 |
+
"learning_rate": 3.960441545911204e-05,
|
| 886 |
+
"loss": 0.0669,
|
| 887 |
+
"step": 122
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
"epoch": 0.05328135152696556,
|
| 891 |
+
"grad_norm": 0.5975047945976257,
|
| 892 |
+
"learning_rate": 3.875244728280676e-05,
|
| 893 |
+
"loss": 0.1032,
|
| 894 |
+
"step": 123
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"epoch": 0.05371453324669699,
|
| 898 |
+
"grad_norm": 0.49492087960243225,
|
| 899 |
+
"learning_rate": 3.790390522001662e-05,
|
| 900 |
+
"loss": 0.0682,
|
| 901 |
+
"step": 124
|
| 902 |
+
},
|
| 903 |
+
{
|
| 904 |
+
"epoch": 0.054147714966428416,
|
| 905 |
+
"grad_norm": 0.540847897529602,
|
| 906 |
+
"learning_rate": 3.705904774487396e-05,
|
| 907 |
+
"loss": 0.0871,
|
| 908 |
+
"step": 125
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 0.05458089668615984,
|
| 912 |
+
"grad_norm": 0.44237419962882996,
|
| 913 |
+
"learning_rate": 3.6218132209150045e-05,
|
| 914 |
+
"loss": 0.0571,
|
| 915 |
+
"step": 126
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 0.05501407840589127,
|
| 919 |
+
"grad_norm": 0.5057970881462097,
|
| 920 |
+
"learning_rate": 3.5381414763863166e-05,
|
| 921 |
+
"loss": 0.0885,
|
| 922 |
+
"step": 127
|
| 923 |
+
},
|
| 924 |
+
{
|
| 925 |
+
"epoch": 0.0554472601256227,
|
| 926 |
+
"grad_norm": 0.3728044629096985,
|
| 927 |
+
"learning_rate": 3.4549150281252636e-05,
|
| 928 |
+
"loss": 0.0395,
|
| 929 |
+
"step": 128
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 0.05588044184535412,
|
| 933 |
+
"grad_norm": 0.39620381593704224,
|
| 934 |
+
"learning_rate": 3.372159227714218e-05,
|
| 935 |
+
"loss": 0.048,
|
| 936 |
+
"step": 129
|
| 937 |
+
},
|
| 938 |
+
{
|
| 939 |
+
"epoch": 0.056313623565085555,
|
| 940 |
+
"grad_norm": 0.5850706696510315,
|
| 941 |
+
"learning_rate": 3.289899283371657e-05,
|
| 942 |
+
"loss": 0.0673,
|
| 943 |
+
"step": 130
|
| 944 |
+
},
|
| 945 |
+
{
|
| 946 |
+
"epoch": 0.05674680528481698,
|
| 947 |
+
"grad_norm": 0.4705985486507416,
|
| 948 |
+
"learning_rate": 3.2081602522734986e-05,
|
| 949 |
+
"loss": 0.0457,
|
| 950 |
+
"step": 131
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 0.057179987004548405,
|
| 954 |
+
"grad_norm": 0.39884859323501587,
|
| 955 |
+
"learning_rate": 3.12696703292044e-05,
|
| 956 |
+
"loss": 0.0609,
|
| 957 |
+
"step": 132
|
| 958 |
+
},
|
| 959 |
+
{
|
| 960 |
+
"epoch": 0.05761316872427984,
|
| 961 |
+
"grad_norm": 0.34650862216949463,
|
| 962 |
+
"learning_rate": 3.046344357553632e-05,
|
| 963 |
+
"loss": 0.0439,
|
| 964 |
+
"step": 133
|
| 965 |
+
},
|
| 966 |
+
{
|
| 967 |
+
"epoch": 0.05804635044401126,
|
| 968 |
+
"grad_norm": 0.5266785621643066,
|
| 969 |
+
"learning_rate": 2.9663167846209998e-05,
|
| 970 |
+
"loss": 0.0665,
|
| 971 |
+
"step": 134
|
| 972 |
+
},
|
| 973 |
+
{
|
| 974 |
+
"epoch": 0.05847953216374269,
|
| 975 |
+
"grad_norm": 0.23444664478302002,
|
| 976 |
+
"learning_rate": 2.886908691296504e-05,
|
| 977 |
+
"loss": 0.0308,
|
| 978 |
+
"step": 135
|
| 979 |
+
},
|
| 980 |
+
{
|
| 981 |
+
"epoch": 0.05891271388347412,
|
| 982 |
+
"grad_norm": 0.25425028800964355,
|
| 983 |
+
"learning_rate": 2.8081442660546125e-05,
|
| 984 |
+
"loss": 0.0171,
|
| 985 |
+
"step": 136
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"epoch": 0.059345895603205544,
|
| 989 |
+
"grad_norm": 0.40159934759140015,
|
| 990 |
+
"learning_rate": 2.7300475013022663e-05,
|
| 991 |
+
"loss": 0.0369,
|
| 992 |
+
"step": 137
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 0.05977907732293697,
|
| 996 |
+
"grad_norm": 0.32667964696884155,
|
| 997 |
+
"learning_rate": 2.6526421860705473e-05,
|
| 998 |
+
"loss": 0.0294,
|
| 999 |
+
"step": 138
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"epoch": 0.0602122590426684,
|
| 1003 |
+
"grad_norm": 0.40988171100616455,
|
| 1004 |
+
"learning_rate": 2.575951898768315e-05,
|
| 1005 |
+
"loss": 0.039,
|
| 1006 |
+
"step": 139
|
| 1007 |
+
},
|
| 1008 |
+
{
|
| 1009 |
+
"epoch": 0.060645440762399826,
|
| 1010 |
+
"grad_norm": 0.23806576430797577,
|
| 1011 |
+
"learning_rate": 2.500000000000001e-05,
|
| 1012 |
+
"loss": 0.0233,
|
| 1013 |
+
"step": 140
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 0.06107862248213125,
|
| 1017 |
+
"grad_norm": 0.8812161087989807,
|
| 1018 |
+
"learning_rate": 2.4248096254497288e-05,
|
| 1019 |
+
"loss": 0.043,
|
| 1020 |
+
"step": 141
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 0.06151180420186268,
|
| 1024 |
+
"grad_norm": 0.38497522473335266,
|
| 1025 |
+
"learning_rate": 2.350403678833976e-05,
|
| 1026 |
+
"loss": 0.0168,
|
| 1027 |
+
"step": 142
|
| 1028 |
+
},
|
| 1029 |
+
{
|
| 1030 |
+
"epoch": 0.06194498592159411,
|
| 1031 |
+
"grad_norm": 0.2601085901260376,
|
| 1032 |
+
"learning_rate": 2.2768048249248648e-05,
|
| 1033 |
+
"loss": 0.0048,
|
| 1034 |
+
"step": 143
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 0.06237816764132553,
|
| 1038 |
+
"grad_norm": 0.2766932249069214,
|
| 1039 |
+
"learning_rate": 2.2040354826462668e-05,
|
| 1040 |
+
"loss": 0.0226,
|
| 1041 |
+
"step": 144
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 0.06281134936105696,
|
| 1045 |
+
"grad_norm": 0.09686120599508286,
|
| 1046 |
+
"learning_rate": 2.132117818244771e-05,
|
| 1047 |
+
"loss": 0.0024,
|
| 1048 |
+
"step": 145
|
| 1049 |
+
},
|
| 1050 |
+
{
|
| 1051 |
+
"epoch": 0.0632445310807884,
|
| 1052 |
+
"grad_norm": 0.08909226208925247,
|
| 1053 |
+
"learning_rate": 2.061073738537635e-05,
|
| 1054 |
+
"loss": 0.0031,
|
| 1055 |
+
"step": 146
|
| 1056 |
+
},
|
| 1057 |
+
{
|
| 1058 |
+
"epoch": 0.06367771280051981,
|
| 1059 |
+
"grad_norm": 0.2203822135925293,
|
| 1060 |
+
"learning_rate": 1.9909248842397584e-05,
|
| 1061 |
+
"loss": 0.0149,
|
| 1062 |
+
"step": 147
|
| 1063 |
+
},
|
| 1064 |
+
{
|
| 1065 |
+
"epoch": 0.06411089452025125,
|
| 1066 |
+
"grad_norm": 0.12339666485786438,
|
| 1067 |
+
"learning_rate": 1.9216926233717085e-05,
|
| 1068 |
+
"loss": 0.0041,
|
| 1069 |
+
"step": 148
|
| 1070 |
+
},
|
| 1071 |
+
{
|
| 1072 |
+
"epoch": 0.06454407623998268,
|
| 1073 |
+
"grad_norm": 0.2815093696117401,
|
| 1074 |
+
"learning_rate": 1.8533980447508137e-05,
|
| 1075 |
+
"loss": 0.0132,
|
| 1076 |
+
"step": 149
|
| 1077 |
+
},
|
| 1078 |
+
{
|
| 1079 |
+
"epoch": 0.0649772579597141,
|
| 1080 |
+
"grad_norm": 0.0794215053319931,
|
| 1081 |
+
"learning_rate": 1.7860619515673033e-05,
|
| 1082 |
+
"loss": 0.0021,
|
| 1083 |
+
"step": 150
|
| 1084 |
+
},
|
| 1085 |
+
{
|
| 1086 |
+
"epoch": 0.0649772579597141,
|
| 1087 |
+
"eval_loss": 0.05704093724489212,
|
| 1088 |
+
"eval_runtime": 204.8642,
|
| 1089 |
+
"eval_samples_per_second": 18.978,
|
| 1090 |
+
"eval_steps_per_second": 9.489,
|
| 1091 |
+
"step": 150
|
| 1092 |
}
|
| 1093 |
],
|
| 1094 |
"logging_steps": 1,
|
|
|
|
| 1117 |
"attributes": {}
|
| 1118 |
}
|
| 1119 |
},
|
| 1120 |
+
"total_flos": 8.564705699089613e+16,
|
| 1121 |
"train_batch_size": 8,
|
| 1122 |
"trial_name": null,
|
| 1123 |
"trial_params": null
|