Instructions to use rovdetection/code-1b-expert-assistant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rovdetection/code-1b-expert-assistant with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rovdetection/code-1b-expert-assistant", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 4000, 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 363365712
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:01efc0f310407dcb32af731fb94896e9a721a18f814a62b7ea7358ca8d8781e1
|
| 3 |
size 363365712
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 184804245
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cf61a46a074c6294f4114d14b385a465bfb53023df57b680112a43319077ad00
|
| 3 |
size 184804245
|
last-checkpoint/rng_state_0.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14917
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:66f08369bbc62bd74f8b034fc5cc0e38a502d3cef15e435846e5ec2ac283a034
|
| 3 |
size 14917
|
last-checkpoint/rng_state_1.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14917
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ba010787a40885fa5288c3b46d8290d7967c71d7c8ba1316b622f7a19a33388b
|
| 3 |
size 14917
|
last-checkpoint/scaler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1383
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c0033c7745b46bdca3ecab5787678834ca68f7f7e1288869dceeb38812abc253
|
| 3 |
size 1383
|
last-checkpoint/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1465
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6ce54f98ea197bcd426469f897eba362d3e592c66e0cecfe82155d3d55c2df9f
|
| 3 |
size 1465
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -2,9 +2,9 @@
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
-
"epoch": 1.
|
| 6 |
"eval_steps": 500,
|
| 7 |
-
"global_step":
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
@@ -608,6 +608,206 @@
|
|
| 608 |
"mean_token_accuracy": 0.701934365928173,
|
| 609 |
"num_tokens": 59164486.0,
|
| 610 |
"step": 3000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 611 |
}
|
| 612 |
],
|
| 613 |
"logging_steps": 50,
|
|
@@ -627,7 +827,7 @@
|
|
| 627 |
"attributes": {}
|
| 628 |
}
|
| 629 |
},
|
| 630 |
-
"total_flos":
|
| 631 |
"train_batch_size": 2,
|
| 632 |
"trial_name": null,
|
| 633 |
"trial_params": null
|
|
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.702127659574468,
|
| 6 |
"eval_steps": 500,
|
| 7 |
+
"global_step": 4000,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
|
|
| 608 |
"mean_token_accuracy": 0.701934365928173,
|
| 609 |
"num_tokens": 59164486.0,
|
| 610 |
"step": 3000
|
| 611 |
+
},
|
| 612 |
+
{
|
| 613 |
+
"entropy": 1.577785237133503,
|
| 614 |
+
"epoch": 1.297872340425532,
|
| 615 |
+
"grad_norm": 0.7289667725563049,
|
| 616 |
+
"learning_rate": 6.951e-05,
|
| 617 |
+
"loss": 1.5484317016601563,
|
| 618 |
+
"mean_token_accuracy": 0.7029052957892418,
|
| 619 |
+
"num_tokens": 60154400.0,
|
| 620 |
+
"step": 3050
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"entropy": 1.6015404342114925,
|
| 624 |
+
"epoch": 1.3191489361702127,
|
| 625 |
+
"grad_norm": 0.7111889719963074,
|
| 626 |
+
"learning_rate": 6.901e-05,
|
| 627 |
+
"loss": 1.567227325439453,
|
| 628 |
+
"mean_token_accuracy": 0.6997377443313598,
|
| 629 |
+
"num_tokens": 61135725.0,
|
| 630 |
+
"step": 3100
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"entropy": 1.5653481243550778,
|
| 634 |
+
"epoch": 1.3404255319148937,
|
| 635 |
+
"grad_norm": 0.7378498911857605,
|
| 636 |
+
"learning_rate": 6.851e-05,
|
| 637 |
+
"loss": 1.5351031494140626,
|
| 638 |
+
"mean_token_accuracy": 0.7058432798087597,
|
| 639 |
+
"num_tokens": 62114114.0,
|
| 640 |
+
"step": 3150
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"entropy": 1.5650252343714237,
|
| 644 |
+
"epoch": 1.3617021276595744,
|
| 645 |
+
"grad_norm": 0.8165695667266846,
|
| 646 |
+
"learning_rate": 6.801000000000001e-05,
|
| 647 |
+
"loss": 1.5345574951171874,
|
| 648 |
+
"mean_token_accuracy": 0.7055312724411488,
|
| 649 |
+
"num_tokens": 63102105.0,
|
| 650 |
+
"step": 3200
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"entropy": 1.565962330698967,
|
| 654 |
+
"epoch": 1.3829787234042552,
|
| 655 |
+
"grad_norm": 0.7475385665893555,
|
| 656 |
+
"learning_rate": 6.751000000000001e-05,
|
| 657 |
+
"loss": 1.532633056640625,
|
| 658 |
+
"mean_token_accuracy": 0.7054442183673382,
|
| 659 |
+
"num_tokens": 64092884.0,
|
| 660 |
+
"step": 3250
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"entropy": 1.5736293095350264,
|
| 664 |
+
"epoch": 1.4042553191489362,
|
| 665 |
+
"grad_norm": 0.7410607933998108,
|
| 666 |
+
"learning_rate": 6.701000000000001e-05,
|
| 667 |
+
"loss": 1.5408993530273438,
|
| 668 |
+
"mean_token_accuracy": 0.7043556262552738,
|
| 669 |
+
"num_tokens": 65077460.0,
|
| 670 |
+
"step": 3300
|
| 671 |
+
},
|
| 672 |
+
{
|
| 673 |
+
"entropy": 1.5616717764735222,
|
| 674 |
+
"epoch": 1.425531914893617,
|
| 675 |
+
"grad_norm": 0.7586492896080017,
|
| 676 |
+
"learning_rate": 6.651000000000001e-05,
|
| 677 |
+
"loss": 1.52689453125,
|
| 678 |
+
"mean_token_accuracy": 0.7062550820410252,
|
| 679 |
+
"num_tokens": 66073937.0,
|
| 680 |
+
"step": 3350
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"entropy": 1.557564342021942,
|
| 684 |
+
"epoch": 1.4468085106382977,
|
| 685 |
+
"grad_norm": 0.7810468673706055,
|
| 686 |
+
"learning_rate": 6.601e-05,
|
| 687 |
+
"loss": 1.5238162231445314,
|
| 688 |
+
"mean_token_accuracy": 0.7069078533351422,
|
| 689 |
+
"num_tokens": 67061606.0,
|
| 690 |
+
"step": 3400
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"entropy": 1.5599790331721306,
|
| 694 |
+
"epoch": 1.4680851063829787,
|
| 695 |
+
"grad_norm": 0.7768591046333313,
|
| 696 |
+
"learning_rate": 6.551e-05,
|
| 697 |
+
"loss": 1.527623748779297,
|
| 698 |
+
"mean_token_accuracy": 0.7075633393228054,
|
| 699 |
+
"num_tokens": 68050209.0,
|
| 700 |
+
"step": 3450
|
| 701 |
+
},
|
| 702 |
+
{
|
| 703 |
+
"entropy": 1.5402766379714012,
|
| 704 |
+
"epoch": 1.4893617021276595,
|
| 705 |
+
"grad_norm": 0.7596350908279419,
|
| 706 |
+
"learning_rate": 6.501e-05,
|
| 707 |
+
"loss": 1.5053843688964843,
|
| 708 |
+
"mean_token_accuracy": 0.709761653393507,
|
| 709 |
+
"num_tokens": 69043340.0,
|
| 710 |
+
"step": 3500
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"entropy": 1.5391169971227645,
|
| 714 |
+
"epoch": 1.5106382978723403,
|
| 715 |
+
"grad_norm": 0.7082200050354004,
|
| 716 |
+
"learning_rate": 6.451e-05,
|
| 717 |
+
"loss": 1.5009793090820311,
|
| 718 |
+
"mean_token_accuracy": 0.7094894219934941,
|
| 719 |
+
"num_tokens": 70028141.0,
|
| 720 |
+
"step": 3550
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"entropy": 1.5485185173153877,
|
| 724 |
+
"epoch": 1.5319148936170213,
|
| 725 |
+
"grad_norm": 0.7340750098228455,
|
| 726 |
+
"learning_rate": 6.401e-05,
|
| 727 |
+
"loss": 1.5126968383789063,
|
| 728 |
+
"mean_token_accuracy": 0.7095904792845249,
|
| 729 |
+
"num_tokens": 71021512.0,
|
| 730 |
+
"step": 3600
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"entropy": 1.5227306772768499,
|
| 734 |
+
"epoch": 1.5531914893617023,
|
| 735 |
+
"grad_norm": 0.7728723287582397,
|
| 736 |
+
"learning_rate": 6.351000000000001e-05,
|
| 737 |
+
"loss": 1.4854464721679688,
|
| 738 |
+
"mean_token_accuracy": 0.7113837064802646,
|
| 739 |
+
"num_tokens": 72010002.0,
|
| 740 |
+
"step": 3650
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"entropy": 1.5513358226418494,
|
| 744 |
+
"epoch": 1.574468085106383,
|
| 745 |
+
"grad_norm": 0.7605530023574829,
|
| 746 |
+
"learning_rate": 6.301000000000001e-05,
|
| 747 |
+
"loss": 1.5147122192382811,
|
| 748 |
+
"mean_token_accuracy": 0.7083025954663753,
|
| 749 |
+
"num_tokens": 72997531.0,
|
| 750 |
+
"step": 3700
|
| 751 |
+
},
|
| 752 |
+
{
|
| 753 |
+
"entropy": 1.5391620790958405,
|
| 754 |
+
"epoch": 1.5957446808510638,
|
| 755 |
+
"grad_norm": 0.7805915474891663,
|
| 756 |
+
"learning_rate": 6.251e-05,
|
| 757 |
+
"loss": 1.5053895568847657,
|
| 758 |
+
"mean_token_accuracy": 0.7098572531342506,
|
| 759 |
+
"num_tokens": 73981617.0,
|
| 760 |
+
"step": 3750
|
| 761 |
+
},
|
| 762 |
+
{
|
| 763 |
+
"entropy": 1.5519435784220696,
|
| 764 |
+
"epoch": 1.6170212765957448,
|
| 765 |
+
"grad_norm": 0.7576701045036316,
|
| 766 |
+
"learning_rate": 6.201e-05,
|
| 767 |
+
"loss": 1.5180355834960937,
|
| 768 |
+
"mean_token_accuracy": 0.7073439501225949,
|
| 769 |
+
"num_tokens": 74975613.0,
|
| 770 |
+
"step": 3800
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"entropy": 1.5172939459979533,
|
| 774 |
+
"epoch": 1.6382978723404256,
|
| 775 |
+
"grad_norm": 0.7765750288963318,
|
| 776 |
+
"learning_rate": 6.151e-05,
|
| 777 |
+
"loss": 1.4821212768554688,
|
| 778 |
+
"mean_token_accuracy": 0.7136698444187641,
|
| 779 |
+
"num_tokens": 75966971.0,
|
| 780 |
+
"step": 3850
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"entropy": 1.5298295491933822,
|
| 784 |
+
"epoch": 1.6595744680851063,
|
| 785 |
+
"grad_norm": 0.7504763007164001,
|
| 786 |
+
"learning_rate": 6.101e-05,
|
| 787 |
+
"loss": 1.492011260986328,
|
| 788 |
+
"mean_token_accuracy": 0.7108374397456646,
|
| 789 |
+
"num_tokens": 76950920.0,
|
| 790 |
+
"step": 3900
|
| 791 |
+
},
|
| 792 |
+
{
|
| 793 |
+
"entropy": 1.5399506105482579,
|
| 794 |
+
"epoch": 1.6808510638297873,
|
| 795 |
+
"grad_norm": 0.7663020491600037,
|
| 796 |
+
"learning_rate": 6.051e-05,
|
| 797 |
+
"loss": 1.5039883422851563,
|
| 798 |
+
"mean_token_accuracy": 0.7101991818845272,
|
| 799 |
+
"num_tokens": 77939066.0,
|
| 800 |
+
"step": 3950
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"entropy": 1.5202897056937217,
|
| 804 |
+
"epoch": 1.702127659574468,
|
| 805 |
+
"grad_norm": 0.8080466985702515,
|
| 806 |
+
"learning_rate": 6.0009999999999996e-05,
|
| 807 |
+
"loss": 1.485948028564453,
|
| 808 |
+
"mean_token_accuracy": 0.7131342147290707,
|
| 809 |
+
"num_tokens": 78916374.0,
|
| 810 |
+
"step": 4000
|
| 811 |
}
|
| 812 |
],
|
| 813 |
"logging_steps": 50,
|
|
|
|
| 827 |
"attributes": {}
|
| 828 |
}
|
| 829 |
},
|
| 830 |
+
"total_flos": 5.994971121907139e+17,
|
| 831 |
"train_batch_size": 2,
|
| 832 |
"trial_name": null,
|
| 833 |
"trial_params": null
|