Instructions to use somaia02/arabart-gec-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use somaia02/arabart-gec-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("moussaKam/AraBART") model = PeftModel.from_pretrained(base_model, "somaia02/arabart-gec-lora") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1500, 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 5323528
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a58fa9dcca1c27ffd494a46534c40e8cf04faf98e8b281458e05b5136ae9fdcb
|
| 3 |
size 5323528
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 10707706
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c03e500ed8e4953132e62be3704d6bfdca68f7a406db1b6ee83e2921feef9003
|
| 3 |
size 10707706
|
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 sha256:6f82adac821233515f57963faf84277e6be21f1e14004a972d38969d3b12b54c
|
| 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:bf79ba88210639e0b725ee3ca8af70f266780a8aabbf9d25faf56fd6dd10d11b
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
-
"best_model_checkpoint": "bart_lora_outputs\\checkpoint-
|
| 4 |
-
"epoch":
|
| 5 |
"eval_steps": 100,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -687,13 +687,353 @@
|
|
| 687 |
"eval_samples_per_second": 197.803,
|
| 688 |
"eval_steps_per_second": 24.831,
|
| 689 |
"step": 1000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 690 |
}
|
| 691 |
],
|
| 692 |
"logging_steps": 10,
|
| 693 |
"max_steps": 6130,
|
| 694 |
"num_train_epochs": 10,
|
| 695 |
"save_steps": 500,
|
| 696 |
-
"total_flos":
|
| 697 |
"trial_name": null,
|
| 698 |
"trial_params": null
|
| 699 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.45563551783561707,
|
| 3 |
+
"best_model_checkpoint": "bart_lora_outputs\\checkpoint-1500",
|
| 4 |
+
"epoch": 2.4469820554649266,
|
| 5 |
"eval_steps": 100,
|
| 6 |
+
"global_step": 1500,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 687 |
"eval_samples_per_second": 197.803,
|
| 688 |
"eval_steps_per_second": 24.831,
|
| 689 |
"step": 1000
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 1.65,
|
| 693 |
+
"learning_rate": 0.0009094138543516875,
|
| 694 |
+
"loss": 0.5042,
|
| 695 |
+
"step": 1010
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 1.66,
|
| 699 |
+
"learning_rate": 0.0009076376554174067,
|
| 700 |
+
"loss": 0.5495,
|
| 701 |
+
"step": 1020
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"epoch": 1.68,
|
| 705 |
+
"learning_rate": 0.0009058614564831261,
|
| 706 |
+
"loss": 0.5309,
|
| 707 |
+
"step": 1030
|
| 708 |
+
},
|
| 709 |
+
{
|
| 710 |
+
"epoch": 1.7,
|
| 711 |
+
"learning_rate": 0.0009040852575488455,
|
| 712 |
+
"loss": 0.5207,
|
| 713 |
+
"step": 1040
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 1.71,
|
| 717 |
+
"learning_rate": 0.0009023090586145648,
|
| 718 |
+
"loss": 0.5209,
|
| 719 |
+
"step": 1050
|
| 720 |
+
},
|
| 721 |
+
{
|
| 722 |
+
"epoch": 1.73,
|
| 723 |
+
"learning_rate": 0.0009005328596802842,
|
| 724 |
+
"loss": 0.5172,
|
| 725 |
+
"step": 1060
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 1.75,
|
| 729 |
+
"learning_rate": 0.0008987566607460036,
|
| 730 |
+
"loss": 0.5284,
|
| 731 |
+
"step": 1070
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 1.76,
|
| 735 |
+
"learning_rate": 0.0008969804618117229,
|
| 736 |
+
"loss": 0.532,
|
| 737 |
+
"step": 1080
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 1.78,
|
| 741 |
+
"learning_rate": 0.0008952042628774423,
|
| 742 |
+
"loss": 0.534,
|
| 743 |
+
"step": 1090
|
| 744 |
+
},
|
| 745 |
+
{
|
| 746 |
+
"epoch": 1.79,
|
| 747 |
+
"learning_rate": 0.0008934280639431617,
|
| 748 |
+
"loss": 0.5299,
|
| 749 |
+
"step": 1100
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 1.79,
|
| 753 |
+
"eval_loss": 0.47891008853912354,
|
| 754 |
+
"eval_runtime": 5.951,
|
| 755 |
+
"eval_samples_per_second": 196.772,
|
| 756 |
+
"eval_steps_per_second": 24.702,
|
| 757 |
+
"step": 1100
|
| 758 |
+
},
|
| 759 |
+
{
|
| 760 |
+
"epoch": 1.81,
|
| 761 |
+
"learning_rate": 0.000891651865008881,
|
| 762 |
+
"loss": 0.5213,
|
| 763 |
+
"step": 1110
|
| 764 |
+
},
|
| 765 |
+
{
|
| 766 |
+
"epoch": 1.83,
|
| 767 |
+
"learning_rate": 0.0008898756660746004,
|
| 768 |
+
"loss": 0.5443,
|
| 769 |
+
"step": 1120
|
| 770 |
+
},
|
| 771 |
+
{
|
| 772 |
+
"epoch": 1.84,
|
| 773 |
+
"learning_rate": 0.0008880994671403197,
|
| 774 |
+
"loss": 0.5367,
|
| 775 |
+
"step": 1130
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"epoch": 1.86,
|
| 779 |
+
"learning_rate": 0.0008863232682060391,
|
| 780 |
+
"loss": 0.5393,
|
| 781 |
+
"step": 1140
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"epoch": 1.88,
|
| 785 |
+
"learning_rate": 0.0008845470692717584,
|
| 786 |
+
"loss": 0.5286,
|
| 787 |
+
"step": 1150
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 1.89,
|
| 791 |
+
"learning_rate": 0.0008827708703374778,
|
| 792 |
+
"loss": 0.5363,
|
| 793 |
+
"step": 1160
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 1.91,
|
| 797 |
+
"learning_rate": 0.0008809946714031972,
|
| 798 |
+
"loss": 0.4707,
|
| 799 |
+
"step": 1170
|
| 800 |
+
},
|
| 801 |
+
{
|
| 802 |
+
"epoch": 1.92,
|
| 803 |
+
"learning_rate": 0.0008792184724689165,
|
| 804 |
+
"loss": 0.5414,
|
| 805 |
+
"step": 1180
|
| 806 |
+
},
|
| 807 |
+
{
|
| 808 |
+
"epoch": 1.94,
|
| 809 |
+
"learning_rate": 0.0008774422735346359,
|
| 810 |
+
"loss": 0.508,
|
| 811 |
+
"step": 1190
|
| 812 |
+
},
|
| 813 |
+
{
|
| 814 |
+
"epoch": 1.96,
|
| 815 |
+
"learning_rate": 0.0008756660746003553,
|
| 816 |
+
"loss": 0.5238,
|
| 817 |
+
"step": 1200
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"epoch": 1.96,
|
| 821 |
+
"eval_loss": 0.47723039984703064,
|
| 822 |
+
"eval_runtime": 11.5341,
|
| 823 |
+
"eval_samples_per_second": 101.525,
|
| 824 |
+
"eval_steps_per_second": 12.745,
|
| 825 |
+
"step": 1200
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 1.97,
|
| 829 |
+
"learning_rate": 0.0008738898756660746,
|
| 830 |
+
"loss": 0.527,
|
| 831 |
+
"step": 1210
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 1.99,
|
| 835 |
+
"learning_rate": 0.000872113676731794,
|
| 836 |
+
"loss": 0.537,
|
| 837 |
+
"step": 1220
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 2.01,
|
| 841 |
+
"learning_rate": 0.0008703374777975134,
|
| 842 |
+
"loss": 0.5252,
|
| 843 |
+
"step": 1230
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 2.02,
|
| 847 |
+
"learning_rate": 0.0008685612788632326,
|
| 848 |
+
"loss": 0.5252,
|
| 849 |
+
"step": 1240
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 2.04,
|
| 853 |
+
"learning_rate": 0.000866785079928952,
|
| 854 |
+
"loss": 0.501,
|
| 855 |
+
"step": 1250
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 2.06,
|
| 859 |
+
"learning_rate": 0.0008650088809946714,
|
| 860 |
+
"loss": 0.4979,
|
| 861 |
+
"step": 1260
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 2.07,
|
| 865 |
+
"learning_rate": 0.0008632326820603907,
|
| 866 |
+
"loss": 0.5041,
|
| 867 |
+
"step": 1270
|
| 868 |
+
},
|
| 869 |
+
{
|
| 870 |
+
"epoch": 2.09,
|
| 871 |
+
"learning_rate": 0.0008614564831261101,
|
| 872 |
+
"loss": 0.4837,
|
| 873 |
+
"step": 1280
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 2.1,
|
| 877 |
+
"learning_rate": 0.0008596802841918295,
|
| 878 |
+
"loss": 0.5124,
|
| 879 |
+
"step": 1290
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 2.12,
|
| 883 |
+
"learning_rate": 0.0008579040852575488,
|
| 884 |
+
"loss": 0.4876,
|
| 885 |
+
"step": 1300
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 2.12,
|
| 889 |
+
"eval_loss": 0.4801134765148163,
|
| 890 |
+
"eval_runtime": 5.9243,
|
| 891 |
+
"eval_samples_per_second": 197.662,
|
| 892 |
+
"eval_steps_per_second": 24.813,
|
| 893 |
+
"step": 1300
|
| 894 |
+
},
|
| 895 |
+
{
|
| 896 |
+
"epoch": 2.14,
|
| 897 |
+
"learning_rate": 0.0008561278863232682,
|
| 898 |
+
"loss": 0.4937,
|
| 899 |
+
"step": 1310
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 2.15,
|
| 903 |
+
"learning_rate": 0.0008543516873889876,
|
| 904 |
+
"loss": 0.4969,
|
| 905 |
+
"step": 1320
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 2.17,
|
| 909 |
+
"learning_rate": 0.0008525754884547069,
|
| 910 |
+
"loss": 0.4921,
|
| 911 |
+
"step": 1330
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"epoch": 2.19,
|
| 915 |
+
"learning_rate": 0.0008507992895204263,
|
| 916 |
+
"loss": 0.5073,
|
| 917 |
+
"step": 1340
|
| 918 |
+
},
|
| 919 |
+
{
|
| 920 |
+
"epoch": 2.2,
|
| 921 |
+
"learning_rate": 0.0008490230905861456,
|
| 922 |
+
"loss": 0.4758,
|
| 923 |
+
"step": 1350
|
| 924 |
+
},
|
| 925 |
+
{
|
| 926 |
+
"epoch": 2.22,
|
| 927 |
+
"learning_rate": 0.000847246891651865,
|
| 928 |
+
"loss": 0.5329,
|
| 929 |
+
"step": 1360
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 2.23,
|
| 933 |
+
"learning_rate": 0.0008454706927175843,
|
| 934 |
+
"loss": 0.4786,
|
| 935 |
+
"step": 1370
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 2.25,
|
| 939 |
+
"learning_rate": 0.0008436944937833037,
|
| 940 |
+
"loss": 0.4819,
|
| 941 |
+
"step": 1380
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 2.27,
|
| 945 |
+
"learning_rate": 0.0008419182948490231,
|
| 946 |
+
"loss": 0.5125,
|
| 947 |
+
"step": 1390
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 2.28,
|
| 951 |
+
"learning_rate": 0.0008401420959147424,
|
| 952 |
+
"loss": 0.5048,
|
| 953 |
+
"step": 1400
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"epoch": 2.28,
|
| 957 |
+
"eval_loss": 0.46734750270843506,
|
| 958 |
+
"eval_runtime": 13.0931,
|
| 959 |
+
"eval_samples_per_second": 89.436,
|
| 960 |
+
"eval_steps_per_second": 11.227,
|
| 961 |
+
"step": 1400
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 2.3,
|
| 965 |
+
"learning_rate": 0.0008383658969804618,
|
| 966 |
+
"loss": 0.5128,
|
| 967 |
+
"step": 1410
|
| 968 |
+
},
|
| 969 |
+
{
|
| 970 |
+
"epoch": 2.32,
|
| 971 |
+
"learning_rate": 0.0008365896980461812,
|
| 972 |
+
"loss": 0.5022,
|
| 973 |
+
"step": 1420
|
| 974 |
+
},
|
| 975 |
+
{
|
| 976 |
+
"epoch": 2.33,
|
| 977 |
+
"learning_rate": 0.0008348134991119005,
|
| 978 |
+
"loss": 0.4767,
|
| 979 |
+
"step": 1430
|
| 980 |
+
},
|
| 981 |
+
{
|
| 982 |
+
"epoch": 2.35,
|
| 983 |
+
"learning_rate": 0.00083303730017762,
|
| 984 |
+
"loss": 0.4959,
|
| 985 |
+
"step": 1440
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"epoch": 2.37,
|
| 989 |
+
"learning_rate": 0.0008312611012433394,
|
| 990 |
+
"loss": 0.5147,
|
| 991 |
+
"step": 1450
|
| 992 |
+
},
|
| 993 |
+
{
|
| 994 |
+
"epoch": 2.38,
|
| 995 |
+
"learning_rate": 0.0008294849023090586,
|
| 996 |
+
"loss": 0.4922,
|
| 997 |
+
"step": 1460
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 2.4,
|
| 1001 |
+
"learning_rate": 0.000827708703374778,
|
| 1002 |
+
"loss": 0.4936,
|
| 1003 |
+
"step": 1470
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 2.41,
|
| 1007 |
+
"learning_rate": 0.0008259325044404974,
|
| 1008 |
+
"loss": 0.5041,
|
| 1009 |
+
"step": 1480
|
| 1010 |
+
},
|
| 1011 |
+
{
|
| 1012 |
+
"epoch": 2.43,
|
| 1013 |
+
"learning_rate": 0.0008241563055062167,
|
| 1014 |
+
"loss": 0.491,
|
| 1015 |
+
"step": 1490
|
| 1016 |
+
},
|
| 1017 |
+
{
|
| 1018 |
+
"epoch": 2.45,
|
| 1019 |
+
"learning_rate": 0.0008223801065719361,
|
| 1020 |
+
"loss": 0.5096,
|
| 1021 |
+
"step": 1500
|
| 1022 |
+
},
|
| 1023 |
+
{
|
| 1024 |
+
"epoch": 2.45,
|
| 1025 |
+
"eval_loss": 0.45563551783561707,
|
| 1026 |
+
"eval_runtime": 13.1221,
|
| 1027 |
+
"eval_samples_per_second": 89.239,
|
| 1028 |
+
"eval_steps_per_second": 11.202,
|
| 1029 |
+
"step": 1500
|
| 1030 |
}
|
| 1031 |
],
|
| 1032 |
"logging_steps": 10,
|
| 1033 |
"max_steps": 6130,
|
| 1034 |
"num_train_epochs": 10,
|
| 1035 |
"save_steps": 500,
|
| 1036 |
+
"total_flos": 2833006835073024.0,
|
| 1037 |
"trial_name": null,
|
| 1038 |
"trial_params": null
|
| 1039 |
}
|