Instructions to use cimol/e4b9823d-2c04-4a0a-a420-c297cf73b380 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/e4b9823d-2c04-4a0a-a420-c297cf73b380 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("zake7749/gemma-2-2b-it-chinese-kyara-dpo") model = PeftModel.from_pretrained(base_model, "cimol/e4b9823d-2c04-4a0a-a420-c297cf73b380") - 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 332316480
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2dcacb409ebaed62be77b48d337262daec39c95dc781f989086cfb2198f52b36
|
| 3 |
size 332316480
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 169157892
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f0a1a868f1b1dceaf99c80b1273b4da02299251c95a8dbd6681b44fec5cd32d3
|
| 3 |
size 169157892
|
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 sha256:873727fda299165f8e430a5b96f4c91ecf39580567b45b0c1d0ac11addfc58f0
|
| 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": 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": 22.383,
|
| 732 |
"eval_steps_per_second": 5.598,
|
| 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": 0.473353773355484,
|
| 3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-150",
|
| 4 |
+
"epoch": 0.0843407365757661,
|
| 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": 22.383,
|
| 732 |
"eval_steps_per_second": 5.598,
|
| 733 |
"step": 100
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"epoch": 0.05678942929434917,
|
| 737 |
+
"grad_norm": 0.8749874830245972,
|
| 738 |
+
"learning_rate": 3.7313170451399475e-05,
|
| 739 |
+
"loss": 0.6225,
|
| 740 |
+
"step": 101
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 0.057351700871520944,
|
| 744 |
+
"grad_norm": 0.9259828329086304,
|
| 745 |
+
"learning_rate": 3.673543141356278e-05,
|
| 746 |
+
"loss": 0.6139,
|
| 747 |
+
"step": 102
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 0.057913972448692716,
|
| 751 |
+
"grad_norm": 0.9162857532501221,
|
| 752 |
+
"learning_rate": 3.6157217926105783e-05,
|
| 753 |
+
"loss": 0.6087,
|
| 754 |
+
"step": 103
|
| 755 |
+
},
|
| 756 |
+
{
|
| 757 |
+
"epoch": 0.058476244025864495,
|
| 758 |
+
"grad_norm": 0.9499956965446472,
|
| 759 |
+
"learning_rate": 3.557868806682255e-05,
|
| 760 |
+
"loss": 0.6472,
|
| 761 |
+
"step": 104
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 0.059038515603036266,
|
| 765 |
+
"grad_norm": 0.8614834547042847,
|
| 766 |
+
"learning_rate": 3.5e-05,
|
| 767 |
+
"loss": 0.5174,
|
| 768 |
+
"step": 105
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"epoch": 0.05960078718020804,
|
| 772 |
+
"grad_norm": 0.8235839009284973,
|
| 773 |
+
"learning_rate": 3.442131193317745e-05,
|
| 774 |
+
"loss": 0.5348,
|
| 775 |
+
"step": 106
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"epoch": 0.06016305875737982,
|
| 779 |
+
"grad_norm": 0.8406442999839783,
|
| 780 |
+
"learning_rate": 3.384278207389421e-05,
|
| 781 |
+
"loss": 0.5699,
|
| 782 |
+
"step": 107
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 0.06072533033455159,
|
| 786 |
+
"grad_norm": 0.7853993773460388,
|
| 787 |
+
"learning_rate": 3.3264568586437216e-05,
|
| 788 |
+
"loss": 0.4682,
|
| 789 |
+
"step": 108
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 0.06128760191172336,
|
| 793 |
+
"grad_norm": 0.8188884258270264,
|
| 794 |
+
"learning_rate": 3.268682954860052e-05,
|
| 795 |
+
"loss": 0.5738,
|
| 796 |
+
"step": 109
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"epoch": 0.06184987348889514,
|
| 800 |
+
"grad_norm": 0.8763449192047119,
|
| 801 |
+
"learning_rate": 3.210972290846837e-05,
|
| 802 |
+
"loss": 0.5559,
|
| 803 |
+
"step": 110
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 0.06241214506606691,
|
| 807 |
+
"grad_norm": 0.8494906425476074,
|
| 808 |
+
"learning_rate": 3.15334064412338e-05,
|
| 809 |
+
"loss": 0.4719,
|
| 810 |
+
"step": 111
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 0.06297441664323869,
|
| 814 |
+
"grad_norm": 0.9282271265983582,
|
| 815 |
+
"learning_rate": 3.0958037706064485e-05,
|
| 816 |
+
"loss": 0.5575,
|
| 817 |
+
"step": 112
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"epoch": 0.06353668822041046,
|
| 821 |
+
"grad_norm": 0.8760861754417419,
|
| 822 |
+
"learning_rate": 3.038377400302758e-05,
|
| 823 |
+
"loss": 0.4802,
|
| 824 |
+
"step": 113
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 0.06409895979758223,
|
| 828 |
+
"grad_norm": 0.9161163568496704,
|
| 829 |
+
"learning_rate": 2.9810772330085524e-05,
|
| 830 |
+
"loss": 0.5109,
|
| 831 |
+
"step": 114
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 0.064661231374754,
|
| 835 |
+
"grad_norm": 0.8412004113197327,
|
| 836 |
+
"learning_rate": 2.9239189340174306e-05,
|
| 837 |
+
"loss": 0.4635,
|
| 838 |
+
"step": 115
|
| 839 |
+
},
|
| 840 |
+
{
|
| 841 |
+
"epoch": 0.06522350295192578,
|
| 842 |
+
"grad_norm": 0.9224844574928284,
|
| 843 |
+
"learning_rate": 2.8669181298376163e-05,
|
| 844 |
+
"loss": 0.5794,
|
| 845 |
+
"step": 116
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"epoch": 0.06578577452909755,
|
| 849 |
+
"grad_norm": 0.8909794092178345,
|
| 850 |
+
"learning_rate": 2.8100904039198193e-05,
|
| 851 |
+
"loss": 0.5022,
|
| 852 |
+
"step": 117
|
| 853 |
+
},
|
| 854 |
+
{
|
| 855 |
+
"epoch": 0.06634804610626933,
|
| 856 |
+
"grad_norm": 0.8420968055725098,
|
| 857 |
+
"learning_rate": 2.7534512923968863e-05,
|
| 858 |
+
"loss": 0.4882,
|
| 859 |
+
"step": 118
|
| 860 |
+
},
|
| 861 |
+
{
|
| 862 |
+
"epoch": 0.0669103176834411,
|
| 863 |
+
"grad_norm": 0.8328831791877747,
|
| 864 |
+
"learning_rate": 2.6970162798363695e-05,
|
| 865 |
+
"loss": 0.4727,
|
| 866 |
+
"step": 119
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 0.06747258926061288,
|
| 870 |
+
"grad_norm": 0.8066858649253845,
|
| 871 |
+
"learning_rate": 2.640800795007203e-05,
|
| 872 |
+
"loss": 0.3648,
|
| 873 |
+
"step": 120
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 0.06803486083778465,
|
| 877 |
+
"grad_norm": 0.8475686311721802,
|
| 878 |
+
"learning_rate": 2.5848202066616305e-05,
|
| 879 |
+
"loss": 0.4553,
|
| 880 |
+
"step": 121
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"epoch": 0.06859713241495642,
|
| 884 |
+
"grad_norm": 0.8595974445343018,
|
| 885 |
+
"learning_rate": 2.5290898193335446e-05,
|
| 886 |
+
"loss": 0.4771,
|
| 887 |
+
"step": 122
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
"epoch": 0.0691594039921282,
|
| 891 |
+
"grad_norm": 0.8730382323265076,
|
| 892 |
+
"learning_rate": 2.4736248691543736e-05,
|
| 893 |
+
"loss": 0.4813,
|
| 894 |
+
"step": 123
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"epoch": 0.06972167556929997,
|
| 898 |
+
"grad_norm": 0.8853369951248169,
|
| 899 |
+
"learning_rate": 2.4184405196876842e-05,
|
| 900 |
+
"loss": 0.4198,
|
| 901 |
+
"step": 124
|
| 902 |
+
},
|
| 903 |
+
{
|
| 904 |
+
"epoch": 0.07028394714647175,
|
| 905 |
+
"grad_norm": 0.9038184285163879,
|
| 906 |
+
"learning_rate": 2.363551857783608e-05,
|
| 907 |
+
"loss": 0.5657,
|
| 908 |
+
"step": 125
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 0.07084621872364352,
|
| 912 |
+
"grad_norm": 1.5610709190368652,
|
| 913 |
+
"learning_rate": 2.308973889454249e-05,
|
| 914 |
+
"loss": 0.5383,
|
| 915 |
+
"step": 126
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 0.0714084903008153,
|
| 919 |
+
"grad_norm": 0.9560755491256714,
|
| 920 |
+
"learning_rate": 2.2547215357711918e-05,
|
| 921 |
+
"loss": 0.5175,
|
| 922 |
+
"step": 127
|
| 923 |
+
},
|
| 924 |
+
{
|
| 925 |
+
"epoch": 0.07197076187798707,
|
| 926 |
+
"grad_norm": 0.8506150841712952,
|
| 927 |
+
"learning_rate": 2.2008096287862266e-05,
|
| 928 |
+
"loss": 0.4004,
|
| 929 |
+
"step": 128
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 0.07253303345515884,
|
| 933 |
+
"grad_norm": 1.011541724205017,
|
| 934 |
+
"learning_rate": 2.1472529074764177e-05,
|
| 935 |
+
"loss": 0.3982,
|
| 936 |
+
"step": 129
|
| 937 |
+
},
|
| 938 |
+
{
|
| 939 |
+
"epoch": 0.07309530503233061,
|
| 940 |
+
"grad_norm": 0.9126336574554443,
|
| 941 |
+
"learning_rate": 2.0940660137146074e-05,
|
| 942 |
+
"loss": 0.4037,
|
| 943 |
+
"step": 130
|
| 944 |
+
},
|
| 945 |
+
{
|
| 946 |
+
"epoch": 0.0736575766095024,
|
| 947 |
+
"grad_norm": 0.8268803358078003,
|
| 948 |
+
"learning_rate": 2.041263488266484e-05,
|
| 949 |
+
"loss": 0.3862,
|
| 950 |
+
"step": 131
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 0.07421984818667417,
|
| 954 |
+
"grad_norm": 0.8743264675140381,
|
| 955 |
+
"learning_rate": 1.988859766815275e-05,
|
| 956 |
+
"loss": 0.4618,
|
| 957 |
+
"step": 132
|
| 958 |
+
},
|
| 959 |
+
{
|
| 960 |
+
"epoch": 0.07478211976384594,
|
| 961 |
+
"grad_norm": 0.8378267884254456,
|
| 962 |
+
"learning_rate": 1.9368691760151773e-05,
|
| 963 |
+
"loss": 0.3606,
|
| 964 |
+
"step": 133
|
| 965 |
+
},
|
| 966 |
+
{
|
| 967 |
+
"epoch": 0.07534439134101771,
|
| 968 |
+
"grad_norm": 0.9845398664474487,
|
| 969 |
+
"learning_rate": 1.885305929574593e-05,
|
| 970 |
+
"loss": 0.462,
|
| 971 |
+
"step": 134
|
| 972 |
+
},
|
| 973 |
+
{
|
| 974 |
+
"epoch": 0.07590666291818948,
|
| 975 |
+
"grad_norm": 0.9598365426063538,
|
| 976 |
+
"learning_rate": 1.8341841243702424e-05,
|
| 977 |
+
"loss": 0.4421,
|
| 978 |
+
"step": 135
|
| 979 |
+
},
|
| 980 |
+
{
|
| 981 |
+
"epoch": 0.07646893449536125,
|
| 982 |
+
"grad_norm": 0.9708433747291565,
|
| 983 |
+
"learning_rate": 1.7835177365932225e-05,
|
| 984 |
+
"loss": 0.4005,
|
| 985 |
+
"step": 136
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"epoch": 0.07703120607253304,
|
| 989 |
+
"grad_norm": 1.1017184257507324,
|
| 990 |
+
"learning_rate": 1.7333206179280478e-05,
|
| 991 |
+
"loss": 0.2971,
|
| 992 |
+
"step": 137
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 0.07759347764970481,
|
| 996 |
+
"grad_norm": 0.8630903959274292,
|
| 997 |
+
"learning_rate": 1.6836064917657478e-05,
|
| 998 |
+
"loss": 0.3356,
|
| 999 |
+
"step": 138
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"epoch": 0.07815574922687658,
|
| 1003 |
+
"grad_norm": 0.8240814208984375,
|
| 1004 |
+
"learning_rate": 1.6343889494520224e-05,
|
| 1005 |
+
"loss": 0.3526,
|
| 1006 |
+
"step": 139
|
| 1007 |
+
},
|
| 1008 |
+
{
|
| 1009 |
+
"epoch": 0.07871802080404836,
|
| 1010 |
+
"grad_norm": 1.026856780052185,
|
| 1011 |
+
"learning_rate": 1.5856814465715064e-05,
|
| 1012 |
+
"loss": 0.4624,
|
| 1013 |
+
"step": 140
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 0.07928029238122013,
|
| 1017 |
+
"grad_norm": 0.9484303593635559,
|
| 1018 |
+
"learning_rate": 1.5374972992691458e-05,
|
| 1019 |
+
"loss": 0.3647,
|
| 1020 |
+
"step": 141
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 0.0798425639583919,
|
| 1024 |
+
"grad_norm": 0.895967423915863,
|
| 1025 |
+
"learning_rate": 1.4898496806096974e-05,
|
| 1026 |
+
"loss": 0.328,
|
| 1027 |
+
"step": 142
|
| 1028 |
+
},
|
| 1029 |
+
{
|
| 1030 |
+
"epoch": 0.08040483553556367,
|
| 1031 |
+
"grad_norm": 1.0940560102462769,
|
| 1032 |
+
"learning_rate": 1.4427516169763444e-05,
|
| 1033 |
+
"loss": 0.4679,
|
| 1034 |
+
"step": 143
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 0.08096710711273546,
|
| 1038 |
+
"grad_norm": 0.962182879447937,
|
| 1039 |
+
"learning_rate": 1.396215984509412e-05,
|
| 1040 |
+
"loss": 0.3011,
|
| 1041 |
+
"step": 144
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 0.08152937868990723,
|
| 1045 |
+
"grad_norm": 1.0793566703796387,
|
| 1046 |
+
"learning_rate": 1.3502555055861625e-05,
|
| 1047 |
+
"loss": 0.4022,
|
| 1048 |
+
"step": 145
|
| 1049 |
+
},
|
| 1050 |
+
{
|
| 1051 |
+
"epoch": 0.082091650267079,
|
| 1052 |
+
"grad_norm": 1.100953221321106,
|
| 1053 |
+
"learning_rate": 1.3048827453426203e-05,
|
| 1054 |
+
"loss": 0.5533,
|
| 1055 |
+
"step": 146
|
| 1056 |
+
},
|
| 1057 |
+
{
|
| 1058 |
+
"epoch": 0.08265392184425077,
|
| 1059 |
+
"grad_norm": 1.1323171854019165,
|
| 1060 |
+
"learning_rate": 1.2601101082383917e-05,
|
| 1061 |
+
"loss": 0.4212,
|
| 1062 |
+
"step": 147
|
| 1063 |
+
},
|
| 1064 |
+
{
|
| 1065 |
+
"epoch": 0.08321619342142254,
|
| 1066 |
+
"grad_norm": 1.3615832328796387,
|
| 1067 |
+
"learning_rate": 1.2159498346654094e-05,
|
| 1068 |
+
"loss": 0.4009,
|
| 1069 |
+
"step": 148
|
| 1070 |
+
},
|
| 1071 |
+
{
|
| 1072 |
+
"epoch": 0.08377846499859432,
|
| 1073 |
+
"grad_norm": 1.7980997562408447,
|
| 1074 |
+
"learning_rate": 1.1724139976015306e-05,
|
| 1075 |
+
"loss": 0.6561,
|
| 1076 |
+
"step": 149
|
| 1077 |
+
},
|
| 1078 |
+
{
|
| 1079 |
+
"epoch": 0.0843407365757661,
|
| 1080 |
+
"grad_norm": 1.7629038095474243,
|
| 1081 |
+
"learning_rate": 1.1295144993099068e-05,
|
| 1082 |
+
"loss": 0.4492,
|
| 1083 |
+
"step": 150
|
| 1084 |
+
},
|
| 1085 |
+
{
|
| 1086 |
+
"epoch": 0.0843407365757661,
|
| 1087 |
+
"eval_loss": 0.473353773355484,
|
| 1088 |
+
"eval_runtime": 133.8043,
|
| 1089 |
+
"eval_samples_per_second": 22.383,
|
| 1090 |
+
"eval_steps_per_second": 5.598,
|
| 1091 |
+
"step": 150
|
| 1092 |
}
|
| 1093 |
],
|
| 1094 |
"logging_steps": 1,
|
|
|
|
| 1117 |
"attributes": {}
|
| 1118 |
}
|
| 1119 |
},
|
| 1120 |
+
"total_flos": 6.21552039100416e+16,
|
| 1121 |
"train_batch_size": 8,
|
| 1122 |
"trial_name": null,
|
| 1123 |
"trial_params": null
|