Training in progress, step 700, 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 556856304
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:80abaf385de52296916718e681935c6768a0a32c4d5289ee386f17e1664b163f
|
3 |
size 556856304
|
last-checkpoint/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 21599316
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:580ac5ff6f77821425e037ad3c74c0bfd112859b028a2db428feb4839651d2af
|
3 |
size 21599316
|
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 sha256:486b6099b25fd8543d7c61a0c8411551172858931459e611b5edfdb1e356f30a
|
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 sha256:7650a95ad72c1e724156e425d1136ef779a743435f328ed6c165002f9e288809
|
3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
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,
|
@@ -4669,6 +4669,364 @@
|
|
4669 |
"eval_samples_per_second": 40.017,
|
4670 |
"eval_steps_per_second": 20.009,
|
4671 |
"step": 650
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
4672 |
}
|
4673 |
],
|
4674 |
"logging_steps": 1,
|
@@ -4688,7 +5046,7 @@
|
|
4688 |
"attributes": {}
|
4689 |
}
|
4690 |
},
|
4691 |
-
"total_flos":
|
4692 |
"train_batch_size": 2,
|
4693 |
"trial_name": null,
|
4694 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.013262850755035147,
|
5 |
"eval_steps": 50,
|
6 |
+
"global_step": 700,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
|
|
4669 |
"eval_samples_per_second": 40.017,
|
4670 |
"eval_steps_per_second": 20.009,
|
4671 |
"step": 650
|
4672 |
+
},
|
4673 |
+
{
|
4674 |
+
"epoch": 0.012334451202182687,
|
4675 |
+
"grad_norm": 0.13303719460964203,
|
4676 |
+
"learning_rate": 0.0001999999994930954,
|
4677 |
+
"loss": 0.0354,
|
4678 |
+
"step": 651
|
4679 |
+
},
|
4680 |
+
{
|
4681 |
+
"epoch": 0.012353398131832737,
|
4682 |
+
"grad_norm": 0.15215599536895752,
|
4683 |
+
"learning_rate": 0.00019999999949151252,
|
4684 |
+
"loss": 0.0312,
|
4685 |
+
"step": 652
|
4686 |
+
},
|
4687 |
+
{
|
4688 |
+
"epoch": 0.012372345061482787,
|
4689 |
+
"grad_norm": 0.12846222519874573,
|
4690 |
+
"learning_rate": 0.00019999999948992723,
|
4691 |
+
"loss": 0.0323,
|
4692 |
+
"step": 653
|
4693 |
+
},
|
4694 |
+
{
|
4695 |
+
"epoch": 0.012391291991132838,
|
4696 |
+
"grad_norm": 0.621687650680542,
|
4697 |
+
"learning_rate": 0.00019999999948833947,
|
4698 |
+
"loss": 0.0343,
|
4699 |
+
"step": 654
|
4700 |
+
},
|
4701 |
+
{
|
4702 |
+
"epoch": 0.012410238920782888,
|
4703 |
+
"grad_norm": 0.7231767773628235,
|
4704 |
+
"learning_rate": 0.00019999999948674924,
|
4705 |
+
"loss": 0.0284,
|
4706 |
+
"step": 655
|
4707 |
+
},
|
4708 |
+
{
|
4709 |
+
"epoch": 0.012429185850432938,
|
4710 |
+
"grad_norm": 0.07879934459924698,
|
4711 |
+
"learning_rate": 0.0001999999994851565,
|
4712 |
+
"loss": 0.0335,
|
4713 |
+
"step": 656
|
4714 |
+
},
|
4715 |
+
{
|
4716 |
+
"epoch": 0.012448132780082987,
|
4717 |
+
"grad_norm": 0.08739863336086273,
|
4718 |
+
"learning_rate": 0.00019999999948356134,
|
4719 |
+
"loss": 0.0412,
|
4720 |
+
"step": 657
|
4721 |
+
},
|
4722 |
+
{
|
4723 |
+
"epoch": 0.012467079709733037,
|
4724 |
+
"grad_norm": 0.14491000771522522,
|
4725 |
+
"learning_rate": 0.00019999999948196369,
|
4726 |
+
"loss": 0.0265,
|
4727 |
+
"step": 658
|
4728 |
+
},
|
4729 |
+
{
|
4730 |
+
"epoch": 0.012486026639383087,
|
4731 |
+
"grad_norm": 0.09429813921451569,
|
4732 |
+
"learning_rate": 0.0001999999994803636,
|
4733 |
+
"loss": 0.0246,
|
4734 |
+
"step": 659
|
4735 |
+
},
|
4736 |
+
{
|
4737 |
+
"epoch": 0.012504973569033137,
|
4738 |
+
"grad_norm": 0.282419353723526,
|
4739 |
+
"learning_rate": 0.000199999999478761,
|
4740 |
+
"loss": 0.0805,
|
4741 |
+
"step": 660
|
4742 |
+
},
|
4743 |
+
{
|
4744 |
+
"epoch": 0.012523920498683188,
|
4745 |
+
"grad_norm": 0.1799023151397705,
|
4746 |
+
"learning_rate": 0.00019999999947715598,
|
4747 |
+
"loss": 0.0264,
|
4748 |
+
"step": 661
|
4749 |
+
},
|
4750 |
+
{
|
4751 |
+
"epoch": 0.012542867428333238,
|
4752 |
+
"grad_norm": 0.18289320170879364,
|
4753 |
+
"learning_rate": 0.00019999999947554846,
|
4754 |
+
"loss": 0.0493,
|
4755 |
+
"step": 662
|
4756 |
+
},
|
4757 |
+
{
|
4758 |
+
"epoch": 0.012561814357983288,
|
4759 |
+
"grad_norm": 0.23105517029762268,
|
4760 |
+
"learning_rate": 0.00019999999947393845,
|
4761 |
+
"loss": 0.0388,
|
4762 |
+
"step": 663
|
4763 |
+
},
|
4764 |
+
{
|
4765 |
+
"epoch": 0.012580761287633338,
|
4766 |
+
"grad_norm": 0.19387099146842957,
|
4767 |
+
"learning_rate": 0.00019999999947232602,
|
4768 |
+
"loss": 0.0294,
|
4769 |
+
"step": 664
|
4770 |
+
},
|
4771 |
+
{
|
4772 |
+
"epoch": 0.012599708217283389,
|
4773 |
+
"grad_norm": 0.07087501883506775,
|
4774 |
+
"learning_rate": 0.00019999999947071108,
|
4775 |
+
"loss": 0.0219,
|
4776 |
+
"step": 665
|
4777 |
+
},
|
4778 |
+
{
|
4779 |
+
"epoch": 0.012618655146933439,
|
4780 |
+
"grad_norm": 0.3370932936668396,
|
4781 |
+
"learning_rate": 0.00019999999946909372,
|
4782 |
+
"loss": 0.0639,
|
4783 |
+
"step": 666
|
4784 |
+
},
|
4785 |
+
{
|
4786 |
+
"epoch": 0.012637602076583489,
|
4787 |
+
"grad_norm": 0.22018681466579437,
|
4788 |
+
"learning_rate": 0.00019999999946747387,
|
4789 |
+
"loss": 0.0441,
|
4790 |
+
"step": 667
|
4791 |
+
},
|
4792 |
+
{
|
4793 |
+
"epoch": 0.01265654900623354,
|
4794 |
+
"grad_norm": 0.06425543874502182,
|
4795 |
+
"learning_rate": 0.00019999999946585155,
|
4796 |
+
"loss": 0.0174,
|
4797 |
+
"step": 668
|
4798 |
+
},
|
4799 |
+
{
|
4800 |
+
"epoch": 0.01267549593588359,
|
4801 |
+
"grad_norm": 0.26767414808273315,
|
4802 |
+
"learning_rate": 0.00019999999946422676,
|
4803 |
+
"loss": 0.0542,
|
4804 |
+
"step": 669
|
4805 |
+
},
|
4806 |
+
{
|
4807 |
+
"epoch": 0.01269444286553364,
|
4808 |
+
"grad_norm": 0.19884276390075684,
|
4809 |
+
"learning_rate": 0.0001999999994625995,
|
4810 |
+
"loss": 0.0294,
|
4811 |
+
"step": 670
|
4812 |
+
},
|
4813 |
+
{
|
4814 |
+
"epoch": 0.01271338979518369,
|
4815 |
+
"grad_norm": 0.17157883942127228,
|
4816 |
+
"learning_rate": 0.0001999999994609698,
|
4817 |
+
"loss": 0.0324,
|
4818 |
+
"step": 671
|
4819 |
+
},
|
4820 |
+
{
|
4821 |
+
"epoch": 0.01273233672483374,
|
4822 |
+
"grad_norm": 0.07747308164834976,
|
4823 |
+
"learning_rate": 0.0001999999994593376,
|
4824 |
+
"loss": 0.0285,
|
4825 |
+
"step": 672
|
4826 |
+
},
|
4827 |
+
{
|
4828 |
+
"epoch": 0.01275128365448379,
|
4829 |
+
"grad_norm": 0.06676504760980606,
|
4830 |
+
"learning_rate": 0.00019999999945770295,
|
4831 |
+
"loss": 0.0238,
|
4832 |
+
"step": 673
|
4833 |
+
},
|
4834 |
+
{
|
4835 |
+
"epoch": 0.01277023058413384,
|
4836 |
+
"grad_norm": 0.3494616448879242,
|
4837 |
+
"learning_rate": 0.00019999999945606584,
|
4838 |
+
"loss": 0.0369,
|
4839 |
+
"step": 674
|
4840 |
+
},
|
4841 |
+
{
|
4842 |
+
"epoch": 0.012789177513783891,
|
4843 |
+
"grad_norm": 0.3873502016067505,
|
4844 |
+
"learning_rate": 0.00019999999945442625,
|
4845 |
+
"loss": 0.0668,
|
4846 |
+
"step": 675
|
4847 |
+
},
|
4848 |
+
{
|
4849 |
+
"epoch": 0.012808124443433941,
|
4850 |
+
"grad_norm": 0.12122321873903275,
|
4851 |
+
"learning_rate": 0.00019999999945278417,
|
4852 |
+
"loss": 0.034,
|
4853 |
+
"step": 676
|
4854 |
+
},
|
4855 |
+
{
|
4856 |
+
"epoch": 0.012827071373083991,
|
4857 |
+
"grad_norm": 0.15738695859909058,
|
4858 |
+
"learning_rate": 0.00019999999945113965,
|
4859 |
+
"loss": 0.0318,
|
4860 |
+
"step": 677
|
4861 |
+
},
|
4862 |
+
{
|
4863 |
+
"epoch": 0.012846018302734042,
|
4864 |
+
"grad_norm": 0.24829640984535217,
|
4865 |
+
"learning_rate": 0.00019999999944949267,
|
4866 |
+
"loss": 0.0497,
|
4867 |
+
"step": 678
|
4868 |
+
},
|
4869 |
+
{
|
4870 |
+
"epoch": 0.012864965232384092,
|
4871 |
+
"grad_norm": 0.26685649156570435,
|
4872 |
+
"learning_rate": 0.0001999999994478432,
|
4873 |
+
"loss": 0.053,
|
4874 |
+
"step": 679
|
4875 |
+
},
|
4876 |
+
{
|
4877 |
+
"epoch": 0.012883912162034142,
|
4878 |
+
"grad_norm": 0.21460634469985962,
|
4879 |
+
"learning_rate": 0.00019999999944619127,
|
4880 |
+
"loss": 0.0323,
|
4881 |
+
"step": 680
|
4882 |
+
},
|
4883 |
+
{
|
4884 |
+
"epoch": 0.012902859091684192,
|
4885 |
+
"grad_norm": 0.29949328303337097,
|
4886 |
+
"learning_rate": 0.0001999999994445369,
|
4887 |
+
"loss": 0.0359,
|
4888 |
+
"step": 681
|
4889 |
+
},
|
4890 |
+
{
|
4891 |
+
"epoch": 0.012921806021334243,
|
4892 |
+
"grad_norm": 0.22662204504013062,
|
4893 |
+
"learning_rate": 0.00019999999944288,
|
4894 |
+
"loss": 0.0463,
|
4895 |
+
"step": 682
|
4896 |
+
},
|
4897 |
+
{
|
4898 |
+
"epoch": 0.012940752950984293,
|
4899 |
+
"grad_norm": 0.164027601480484,
|
4900 |
+
"learning_rate": 0.0001999999994412207,
|
4901 |
+
"loss": 0.0387,
|
4902 |
+
"step": 683
|
4903 |
+
},
|
4904 |
+
{
|
4905 |
+
"epoch": 0.012959699880634343,
|
4906 |
+
"grad_norm": 0.12347234785556793,
|
4907 |
+
"learning_rate": 0.00019999999943955888,
|
4908 |
+
"loss": 0.0301,
|
4909 |
+
"step": 684
|
4910 |
+
},
|
4911 |
+
{
|
4912 |
+
"epoch": 0.012978646810284393,
|
4913 |
+
"grad_norm": 0.35990050435066223,
|
4914 |
+
"learning_rate": 0.00019999999943789463,
|
4915 |
+
"loss": 0.0402,
|
4916 |
+
"step": 685
|
4917 |
+
},
|
4918 |
+
{
|
4919 |
+
"epoch": 0.012997593739934444,
|
4920 |
+
"grad_norm": 0.16936954855918884,
|
4921 |
+
"learning_rate": 0.00019999999943622792,
|
4922 |
+
"loss": 0.0449,
|
4923 |
+
"step": 686
|
4924 |
+
},
|
4925 |
+
{
|
4926 |
+
"epoch": 0.013016540669584494,
|
4927 |
+
"grad_norm": 0.2638076841831207,
|
4928 |
+
"learning_rate": 0.0001999999994345587,
|
4929 |
+
"loss": 0.0564,
|
4930 |
+
"step": 687
|
4931 |
+
},
|
4932 |
+
{
|
4933 |
+
"epoch": 0.013035487599234544,
|
4934 |
+
"grad_norm": 0.2737369239330292,
|
4935 |
+
"learning_rate": 0.00019999999943288703,
|
4936 |
+
"loss": 0.0477,
|
4937 |
+
"step": 688
|
4938 |
+
},
|
4939 |
+
{
|
4940 |
+
"epoch": 0.013054434528884594,
|
4941 |
+
"grad_norm": 0.14391621947288513,
|
4942 |
+
"learning_rate": 0.0001999999994312129,
|
4943 |
+
"loss": 0.0374,
|
4944 |
+
"step": 689
|
4945 |
+
},
|
4946 |
+
{
|
4947 |
+
"epoch": 0.013073381458534645,
|
4948 |
+
"grad_norm": 0.049424514174461365,
|
4949 |
+
"learning_rate": 0.00019999999942953628,
|
4950 |
+
"loss": 0.021,
|
4951 |
+
"step": 690
|
4952 |
+
},
|
4953 |
+
{
|
4954 |
+
"epoch": 0.013092328388184695,
|
4955 |
+
"grad_norm": 0.22283080220222473,
|
4956 |
+
"learning_rate": 0.00019999999942785723,
|
4957 |
+
"loss": 0.045,
|
4958 |
+
"step": 691
|
4959 |
+
},
|
4960 |
+
{
|
4961 |
+
"epoch": 0.013111275317834745,
|
4962 |
+
"grad_norm": 0.15707112848758698,
|
4963 |
+
"learning_rate": 0.00019999999942617568,
|
4964 |
+
"loss": 0.0307,
|
4965 |
+
"step": 692
|
4966 |
+
},
|
4967 |
+
{
|
4968 |
+
"epoch": 0.013130222247484795,
|
4969 |
+
"grad_norm": 0.18966948986053467,
|
4970 |
+
"learning_rate": 0.0001999999994244917,
|
4971 |
+
"loss": 0.045,
|
4972 |
+
"step": 693
|
4973 |
+
},
|
4974 |
+
{
|
4975 |
+
"epoch": 0.013149169177134845,
|
4976 |
+
"grad_norm": 0.06199893355369568,
|
4977 |
+
"learning_rate": 0.00019999999942280522,
|
4978 |
+
"loss": 0.0229,
|
4979 |
+
"step": 694
|
4980 |
+
},
|
4981 |
+
{
|
4982 |
+
"epoch": 0.013168116106784896,
|
4983 |
+
"grad_norm": 0.10518538951873779,
|
4984 |
+
"learning_rate": 0.00019999999942111628,
|
4985 |
+
"loss": 0.0334,
|
4986 |
+
"step": 695
|
4987 |
+
},
|
4988 |
+
{
|
4989 |
+
"epoch": 0.013187063036434946,
|
4990 |
+
"grad_norm": 0.40504929423332214,
|
4991 |
+
"learning_rate": 0.0001999999994194249,
|
4992 |
+
"loss": 0.0544,
|
4993 |
+
"step": 696
|
4994 |
+
},
|
4995 |
+
{
|
4996 |
+
"epoch": 0.013206009966084996,
|
4997 |
+
"grad_norm": 0.06708107143640518,
|
4998 |
+
"learning_rate": 0.00019999999941773102,
|
4999 |
+
"loss": 0.0235,
|
5000 |
+
"step": 697
|
5001 |
+
},
|
5002 |
+
{
|
5003 |
+
"epoch": 0.013224956895735046,
|
5004 |
+
"grad_norm": 0.12683062255382538,
|
5005 |
+
"learning_rate": 0.00019999999941603468,
|
5006 |
+
"loss": 0.0275,
|
5007 |
+
"step": 698
|
5008 |
+
},
|
5009 |
+
{
|
5010 |
+
"epoch": 0.013243903825385097,
|
5011 |
+
"grad_norm": 0.08281129598617554,
|
5012 |
+
"learning_rate": 0.00019999999941433587,
|
5013 |
+
"loss": 0.0365,
|
5014 |
+
"step": 699
|
5015 |
+
},
|
5016 |
+
{
|
5017 |
+
"epoch": 0.013262850755035147,
|
5018 |
+
"grad_norm": 0.3280352056026459,
|
5019 |
+
"learning_rate": 0.0001999999994126346,
|
5020 |
+
"loss": 0.0484,
|
5021 |
+
"step": 700
|
5022 |
+
},
|
5023 |
+
{
|
5024 |
+
"epoch": 0.013262850755035147,
|
5025 |
+
"eval_loss": 0.008949960581958294,
|
5026 |
+
"eval_runtime": 553.8099,
|
5027 |
+
"eval_samples_per_second": 40.127,
|
5028 |
+
"eval_steps_per_second": 20.065,
|
5029 |
+
"step": 700
|
5030 |
}
|
5031 |
],
|
5032 |
"logging_steps": 1,
|
|
|
5046 |
"attributes": {}
|
5047 |
}
|
5048 |
},
|
5049 |
+
"total_flos": 7.46484314406912e+16,
|
5050 |
"train_batch_size": 2,
|
5051 |
"trial_name": null,
|
5052 |
"trial_params": null
|