Instructions to use madhuHuggingface/functiongemma-vpc-finetunedv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use madhuHuggingface/functiongemma-vpc-finetunedv2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("madhuHuggingface/functiongemma-vpc-finetunedv2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use madhuHuggingface/functiongemma-vpc-finetunedv2 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for madhuHuggingface/functiongemma-vpc-finetunedv2 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for madhuHuggingface/functiongemma-vpc-finetunedv2 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for madhuHuggingface/functiongemma-vpc-finetunedv2 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="madhuHuggingface/functiongemma-vpc-finetunedv2", max_seq_length=2048, )
Training in progress, step 1500
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 121537408
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:817afca3f28ecc00af288ad47b0c44001f470fcb6e47e6d851d9f7f91f49bf73
|
| 3 |
size 121537408
|
last-checkpoint/adapter_config.json
CHANGED
|
@@ -33,13 +33,13 @@
|
|
| 33 |
"rank_pattern": {},
|
| 34 |
"revision": null,
|
| 35 |
"target_modules": [
|
| 36 |
-
"o_proj",
|
| 37 |
-
"down_proj",
|
| 38 |
"up_proj",
|
| 39 |
-
"v_proj",
|
| 40 |
"q_proj",
|
|
|
|
|
|
|
|
|
|
| 41 |
"gate_proj",
|
| 42 |
-
"
|
| 43 |
],
|
| 44 |
"target_parameters": null,
|
| 45 |
"task_type": "CAUSAL_LM",
|
|
|
|
| 33 |
"rank_pattern": {},
|
| 34 |
"revision": null,
|
| 35 |
"target_modules": [
|
|
|
|
|
|
|
| 36 |
"up_proj",
|
|
|
|
| 37 |
"q_proj",
|
| 38 |
+
"v_proj",
|
| 39 |
+
"k_proj",
|
| 40 |
+
"o_proj",
|
| 41 |
"gate_proj",
|
| 42 |
+
"down_proj"
|
| 43 |
],
|
| 44 |
"target_parameters": null,
|
| 45 |
"task_type": "CAUSAL_LM",
|
last-checkpoint/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 121537408
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ac86271e61f61c7e0e996c9a0b387781c0cf7e105d9e2809cf486578571e3692
|
| 3 |
size 121537408
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e6166d92c0eec7a743b35a9b0a6952a1ccf685a19c88ceec877f066ad8bcf660
|
| 3 |
+
size 62000725
|
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:f2f5818bcde61cb939645ced952eb7a6ec5c7bbec5f630a7156d7c2ae39b50d0
|
| 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": 0.
|
| 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,
|
|
@@ -428,566 +428,6 @@
|
|
| 428 |
"learning_rate": 0.00019783319385748891,
|
| 429 |
"loss": 0.005371841043233872,
|
| 430 |
"step": 600
|
| 431 |
-
},
|
| 432 |
-
{
|
| 433 |
-
"epoch": 0.20935220935220936,
|
| 434 |
-
"grad_norm": 0.03531381115317345,
|
| 435 |
-
"learning_rate": 0.00019775798436093438,
|
| 436 |
-
"loss": 0.0034491006284952165,
|
| 437 |
-
"step": 610
|
| 438 |
-
},
|
| 439 |
-
{
|
| 440 |
-
"epoch": 0.21278421278421278,
|
| 441 |
-
"grad_norm": 0.3441513478755951,
|
| 442 |
-
"learning_rate": 0.00019768150657209797,
|
| 443 |
-
"loss": 0.0036659084260463716,
|
| 444 |
-
"step": 620
|
| 445 |
-
},
|
| 446 |
-
{
|
| 447 |
-
"epoch": 0.21621621621621623,
|
| 448 |
-
"grad_norm": 0.12480789422988892,
|
| 449 |
-
"learning_rate": 0.00019760376148318697,
|
| 450 |
-
"loss": 0.005842024832963944,
|
| 451 |
-
"step": 630
|
| 452 |
-
},
|
| 453 |
-
{
|
| 454 |
-
"epoch": 0.21964821964821965,
|
| 455 |
-
"grad_norm": 0.18049751222133636,
|
| 456 |
-
"learning_rate": 0.00019752475010285044,
|
| 457 |
-
"loss": 0.004476210474967957,
|
| 458 |
-
"step": 640
|
| 459 |
-
},
|
| 460 |
-
{
|
| 461 |
-
"epoch": 0.22308022308022307,
|
| 462 |
-
"grad_norm": 0.03993777185678482,
|
| 463 |
-
"learning_rate": 0.00019744447345616603,
|
| 464 |
-
"loss": 0.002967344969511032,
|
| 465 |
-
"step": 650
|
| 466 |
-
},
|
| 467 |
-
{
|
| 468 |
-
"epoch": 0.22651222651222652,
|
| 469 |
-
"grad_norm": 0.014075578190386295,
|
| 470 |
-
"learning_rate": 0.00019736293258462663,
|
| 471 |
-
"loss": 0.0038539741188287737,
|
| 472 |
-
"step": 660
|
| 473 |
-
},
|
| 474 |
-
{
|
| 475 |
-
"epoch": 0.22994422994422994,
|
| 476 |
-
"grad_norm": 0.10091689974069595,
|
| 477 |
-
"learning_rate": 0.00019728012854612707,
|
| 478 |
-
"loss": 0.0027353862300515176,
|
| 479 |
-
"step": 670
|
| 480 |
-
},
|
| 481 |
-
{
|
| 482 |
-
"epoch": 0.23337623337623337,
|
| 483 |
-
"grad_norm": 0.07889121025800705,
|
| 484 |
-
"learning_rate": 0.00019719606241495015,
|
| 485 |
-
"loss": 0.002710958570241928,
|
| 486 |
-
"step": 680
|
| 487 |
-
},
|
| 488 |
-
{
|
| 489 |
-
"epoch": 0.23680823680823682,
|
| 490 |
-
"grad_norm": 0.30752819776535034,
|
| 491 |
-
"learning_rate": 0.00019711073528175276,
|
| 492 |
-
"loss": 0.00333489403128624,
|
| 493 |
-
"step": 690
|
| 494 |
-
},
|
| 495 |
-
{
|
| 496 |
-
"epoch": 0.24024024024024024,
|
| 497 |
-
"grad_norm": 0.044186487793922424,
|
| 498 |
-
"learning_rate": 0.00019702414825355192,
|
| 499 |
-
"loss": 0.0013431076891720294,
|
| 500 |
-
"step": 700
|
| 501 |
-
},
|
| 502 |
-
{
|
| 503 |
-
"epoch": 0.24367224367224366,
|
| 504 |
-
"grad_norm": 0.002193969674408436,
|
| 505 |
-
"learning_rate": 0.00019693630245371012,
|
| 506 |
-
"loss": 0.0016361255198717116,
|
| 507 |
-
"step": 710
|
| 508 |
-
},
|
| 509 |
-
{
|
| 510 |
-
"epoch": 0.2471042471042471,
|
| 511 |
-
"grad_norm": 0.0048366570845246315,
|
| 512 |
-
"learning_rate": 0.00019684719902192098,
|
| 513 |
-
"loss": 0.0031337443739175796,
|
| 514 |
-
"step": 720
|
| 515 |
-
},
|
| 516 |
-
{
|
| 517 |
-
"epoch": 0.25053625053625056,
|
| 518 |
-
"grad_norm": 0.003241632366552949,
|
| 519 |
-
"learning_rate": 0.0001967568391141944,
|
| 520 |
-
"loss": 0.0018327673897147179,
|
| 521 |
-
"step": 730
|
| 522 |
-
},
|
| 523 |
-
{
|
| 524 |
-
"epoch": 0.25396825396825395,
|
| 525 |
-
"grad_norm": 0.07791941612958908,
|
| 526 |
-
"learning_rate": 0.00019666522390284155,
|
| 527 |
-
"loss": 0.005795871838927269,
|
| 528 |
-
"step": 740
|
| 529 |
-
},
|
| 530 |
-
{
|
| 531 |
-
"epoch": 0.2574002574002574,
|
| 532 |
-
"grad_norm": 0.04366520047187805,
|
| 533 |
-
"learning_rate": 0.00019657235457645956,
|
| 534 |
-
"loss": 0.0033348515629768372,
|
| 535 |
-
"step": 750
|
| 536 |
-
},
|
| 537 |
-
{
|
| 538 |
-
"epoch": 0.26083226083226085,
|
| 539 |
-
"grad_norm": 0.013953814283013344,
|
| 540 |
-
"learning_rate": 0.00019647823233991623,
|
| 541 |
-
"loss": 0.00804762840270996,
|
| 542 |
-
"step": 760
|
| 543 |
-
},
|
| 544 |
-
{
|
| 545 |
-
"epoch": 0.26426426426426425,
|
| 546 |
-
"grad_norm": 0.017218926921486855,
|
| 547 |
-
"learning_rate": 0.00019638285841433442,
|
| 548 |
-
"loss": 0.005346460640430451,
|
| 549 |
-
"step": 770
|
| 550 |
-
},
|
| 551 |
-
{
|
| 552 |
-
"epoch": 0.2676962676962677,
|
| 553 |
-
"grad_norm": 1.2277870178222656,
|
| 554 |
-
"learning_rate": 0.00019628623403707612,
|
| 555 |
-
"loss": 0.005925276502966881,
|
| 556 |
-
"step": 780
|
| 557 |
-
},
|
| 558 |
-
{
|
| 559 |
-
"epoch": 0.27112827112827115,
|
| 560 |
-
"grad_norm": 0.05051695927977562,
|
| 561 |
-
"learning_rate": 0.00019618836046172647,
|
| 562 |
-
"loss": 0.0050374619662761685,
|
| 563 |
-
"step": 790
|
| 564 |
-
},
|
| 565 |
-
{
|
| 566 |
-
"epoch": 0.27456027456027454,
|
| 567 |
-
"grad_norm": 0.004715205170214176,
|
| 568 |
-
"learning_rate": 0.00019608923895807732,
|
| 569 |
-
"loss": 0.0031466834247112275,
|
| 570 |
-
"step": 800
|
| 571 |
-
},
|
| 572 |
-
{
|
| 573 |
-
"epoch": 0.277992277992278,
|
| 574 |
-
"grad_norm": 0.15201859176158905,
|
| 575 |
-
"learning_rate": 0.00019598887081211103,
|
| 576 |
-
"loss": 0.00553952269256115,
|
| 577 |
-
"step": 810
|
| 578 |
-
},
|
| 579 |
-
{
|
| 580 |
-
"epoch": 0.28142428142428144,
|
| 581 |
-
"grad_norm": 0.017294466495513916,
|
| 582 |
-
"learning_rate": 0.00019588725732598358,
|
| 583 |
-
"loss": 0.0026330363005399706,
|
| 584 |
-
"step": 820
|
| 585 |
-
},
|
| 586 |
-
{
|
| 587 |
-
"epoch": 0.28485628485628484,
|
| 588 |
-
"grad_norm": 0.009572334587574005,
|
| 589 |
-
"learning_rate": 0.0001957843998180077,
|
| 590 |
-
"loss": 0.0053256206214427945,
|
| 591 |
-
"step": 830
|
| 592 |
-
},
|
| 593 |
-
{
|
| 594 |
-
"epoch": 0.2882882882882883,
|
| 595 |
-
"grad_norm": 0.9419263005256653,
|
| 596 |
-
"learning_rate": 0.00019568029962263592,
|
| 597 |
-
"loss": 0.005014676600694656,
|
| 598 |
-
"step": 840
|
| 599 |
-
},
|
| 600 |
-
{
|
| 601 |
-
"epoch": 0.29172029172029174,
|
| 602 |
-
"grad_norm": 0.007972943596541882,
|
| 603 |
-
"learning_rate": 0.0001955749580904431,
|
| 604 |
-
"loss": 0.002865707501769066,
|
| 605 |
-
"step": 850
|
| 606 |
-
},
|
| 607 |
-
{
|
| 608 |
-
"epoch": 0.29515229515229513,
|
| 609 |
-
"grad_norm": 0.0037338004913181067,
|
| 610 |
-
"learning_rate": 0.00019546837658810883,
|
| 611 |
-
"loss": 0.002737715095281601,
|
| 612 |
-
"step": 860
|
| 613 |
-
},
|
| 614 |
-
{
|
| 615 |
-
"epoch": 0.2985842985842986,
|
| 616 |
-
"grad_norm": 0.044745851308107376,
|
| 617 |
-
"learning_rate": 0.00019536055649840007,
|
| 618 |
-
"loss": 0.005683861300349235,
|
| 619 |
-
"step": 870
|
| 620 |
-
},
|
| 621 |
-
{
|
| 622 |
-
"epoch": 0.30201630201630203,
|
| 623 |
-
"grad_norm": 0.3476060628890991,
|
| 624 |
-
"learning_rate": 0.00019525149922015268,
|
| 625 |
-
"loss": 0.007439766824245453,
|
| 626 |
-
"step": 880
|
| 627 |
-
},
|
| 628 |
-
{
|
| 629 |
-
"epoch": 0.3054483054483054,
|
| 630 |
-
"grad_norm": 0.046753134578466415,
|
| 631 |
-
"learning_rate": 0.00019514120616825377,
|
| 632 |
-
"loss": 0.009560897201299667,
|
| 633 |
-
"step": 890
|
| 634 |
-
},
|
| 635 |
-
{
|
| 636 |
-
"epoch": 0.3088803088803089,
|
| 637 |
-
"grad_norm": 0.6365974545478821,
|
| 638 |
-
"learning_rate": 0.00019502967877362305,
|
| 639 |
-
"loss": 0.006552433967590332,
|
| 640 |
-
"step": 900
|
| 641 |
-
},
|
| 642 |
-
{
|
| 643 |
-
"epoch": 0.3123123123123123,
|
| 644 |
-
"grad_norm": 1.7795714139938354,
|
| 645 |
-
"learning_rate": 0.00019491691848319432,
|
| 646 |
-
"loss": 0.0097378209233284,
|
| 647 |
-
"step": 910
|
| 648 |
-
},
|
| 649 |
-
{
|
| 650 |
-
"epoch": 0.3157443157443157,
|
| 651 |
-
"grad_norm": 0.030942745506763458,
|
| 652 |
-
"learning_rate": 0.00019480292675989677,
|
| 653 |
-
"loss": 0.011464773118495942,
|
| 654 |
-
"step": 920
|
| 655 |
-
},
|
| 656 |
-
{
|
| 657 |
-
"epoch": 0.31917631917631917,
|
| 658 |
-
"grad_norm": 0.05824369192123413,
|
| 659 |
-
"learning_rate": 0.00019468770508263586,
|
| 660 |
-
"loss": 0.0077786631882190704,
|
| 661 |
-
"step": 930
|
| 662 |
-
},
|
| 663 |
-
{
|
| 664 |
-
"epoch": 0.3226083226083226,
|
| 665 |
-
"grad_norm": 1.115598440170288,
|
| 666 |
-
"learning_rate": 0.00019457125494627431,
|
| 667 |
-
"loss": 0.005580966919660568,
|
| 668 |
-
"step": 940
|
| 669 |
-
},
|
| 670 |
-
{
|
| 671 |
-
"epoch": 0.32604032604032607,
|
| 672 |
-
"grad_norm": 0.11986860632896423,
|
| 673 |
-
"learning_rate": 0.00019445357786161265,
|
| 674 |
-
"loss": 0.01756148934364319,
|
| 675 |
-
"step": 950
|
| 676 |
-
},
|
| 677 |
-
{
|
| 678 |
-
"epoch": 0.32947232947232946,
|
| 679 |
-
"grad_norm": 0.026070566847920418,
|
| 680 |
-
"learning_rate": 0.00019433467535536947,
|
| 681 |
-
"loss": 0.01354750245809555,
|
| 682 |
-
"step": 960
|
| 683 |
-
},
|
| 684 |
-
{
|
| 685 |
-
"epoch": 0.3329043329043329,
|
| 686 |
-
"grad_norm": 0.11441248655319214,
|
| 687 |
-
"learning_rate": 0.0001942145489701618,
|
| 688 |
-
"loss": 0.008156213909387589,
|
| 689 |
-
"step": 970
|
| 690 |
-
},
|
| 691 |
-
{
|
| 692 |
-
"epoch": 0.33633633633633636,
|
| 693 |
-
"grad_norm": 0.3980163037776947,
|
| 694 |
-
"learning_rate": 0.00019409320026448504,
|
| 695 |
-
"loss": 0.0047673903405666355,
|
| 696 |
-
"step": 980
|
| 697 |
-
},
|
| 698 |
-
{
|
| 699 |
-
"epoch": 0.33976833976833976,
|
| 700 |
-
"grad_norm": 1.6305179595947266,
|
| 701 |
-
"learning_rate": 0.0001939706308126927,
|
| 702 |
-
"loss": 0.012219312787055969,
|
| 703 |
-
"step": 990
|
| 704 |
-
},
|
| 705 |
-
{
|
| 706 |
-
"epoch": 0.3432003432003432,
|
| 707 |
-
"grad_norm": 0.3982492983341217,
|
| 708 |
-
"learning_rate": 0.00019384684220497605,
|
| 709 |
-
"loss": 0.011943883448839187,
|
| 710 |
-
"step": 1000
|
| 711 |
-
},
|
| 712 |
-
{
|
| 713 |
-
"epoch": 0.34663234663234666,
|
| 714 |
-
"grad_norm": 0.8722233772277832,
|
| 715 |
-
"learning_rate": 0.00019372183604734336,
|
| 716 |
-
"loss": 0.01119406521320343,
|
| 717 |
-
"step": 1010
|
| 718 |
-
},
|
| 719 |
-
{
|
| 720 |
-
"epoch": 0.35006435006435005,
|
| 721 |
-
"grad_norm": 0.4889911413192749,
|
| 722 |
-
"learning_rate": 0.00019359561396159922,
|
| 723 |
-
"loss": 0.01964961290359497,
|
| 724 |
-
"step": 1020
|
| 725 |
-
},
|
| 726 |
-
{
|
| 727 |
-
"epoch": 0.3534963534963535,
|
| 728 |
-
"grad_norm": 2.336963176727295,
|
| 729 |
-
"learning_rate": 0.00019346817758532337,
|
| 730 |
-
"loss": 0.013343000411987304,
|
| 731 |
-
"step": 1030
|
| 732 |
-
},
|
| 733 |
-
{
|
| 734 |
-
"epoch": 0.35692835692835695,
|
| 735 |
-
"grad_norm": 5.095973014831543,
|
| 736 |
-
"learning_rate": 0.0001933395285718495,
|
| 737 |
-
"loss": 0.045030930638313295,
|
| 738 |
-
"step": 1040
|
| 739 |
-
},
|
| 740 |
-
{
|
| 741 |
-
"epoch": 0.36036036036036034,
|
| 742 |
-
"grad_norm": 1.8921918869018555,
|
| 743 |
-
"learning_rate": 0.00019320966859024397,
|
| 744 |
-
"loss": 0.017123931646347047,
|
| 745 |
-
"step": 1050
|
| 746 |
-
},
|
| 747 |
-
{
|
| 748 |
-
"epoch": 0.3637923637923638,
|
| 749 |
-
"grad_norm": 0.32683122158050537,
|
| 750 |
-
"learning_rate": 0.00019307859932528375,
|
| 751 |
-
"loss": 0.0226660281419754,
|
| 752 |
-
"step": 1060
|
| 753 |
-
},
|
| 754 |
-
{
|
| 755 |
-
"epoch": 0.36722436722436724,
|
| 756 |
-
"grad_norm": 1.3853524923324585,
|
| 757 |
-
"learning_rate": 0.000192946322477435,
|
| 758 |
-
"loss": 0.009634046256542206,
|
| 759 |
-
"step": 1070
|
| 760 |
-
},
|
| 761 |
-
{
|
| 762 |
-
"epoch": 0.37065637065637064,
|
| 763 |
-
"grad_norm": 0.34646913409233093,
|
| 764 |
-
"learning_rate": 0.0001928128397628307,
|
| 765 |
-
"loss": 0.03943045735359192,
|
| 766 |
-
"step": 1080
|
| 767 |
-
},
|
| 768 |
-
{
|
| 769 |
-
"epoch": 0.3740883740883741,
|
| 770 |
-
"grad_norm": 0.8397905826568604,
|
| 771 |
-
"learning_rate": 0.00019267815291324852,
|
| 772 |
-
"loss": 0.017884735763072968,
|
| 773 |
-
"step": 1090
|
| 774 |
-
},
|
| 775 |
-
{
|
| 776 |
-
"epoch": 0.37752037752037754,
|
| 777 |
-
"grad_norm": 0.9594695568084717,
|
| 778 |
-
"learning_rate": 0.00019254226367608842,
|
| 779 |
-
"loss": 0.01769815683364868,
|
| 780 |
-
"step": 1100
|
| 781 |
-
},
|
| 782 |
-
{
|
| 783 |
-
"epoch": 0.38095238095238093,
|
| 784 |
-
"grad_norm": 0.7242799997329712,
|
| 785 |
-
"learning_rate": 0.0001924051738143498,
|
| 786 |
-
"loss": 0.04254389405250549,
|
| 787 |
-
"step": 1110
|
| 788 |
-
},
|
| 789 |
-
{
|
| 790 |
-
"epoch": 0.3843843843843844,
|
| 791 |
-
"grad_norm": 0.1905749887228012,
|
| 792 |
-
"learning_rate": 0.00019226688510660877,
|
| 793 |
-
"loss": 0.011978869885206222,
|
| 794 |
-
"step": 1120
|
| 795 |
-
},
|
| 796 |
-
{
|
| 797 |
-
"epoch": 0.38781638781638783,
|
| 798 |
-
"grad_norm": 0.12193301320075989,
|
| 799 |
-
"learning_rate": 0.00019212739934699498,
|
| 800 |
-
"loss": 0.010143650323152542,
|
| 801 |
-
"step": 1130
|
| 802 |
-
},
|
| 803 |
-
{
|
| 804 |
-
"epoch": 0.3912483912483912,
|
| 805 |
-
"grad_norm": 0.20223842561244965,
|
| 806 |
-
"learning_rate": 0.00019198671834516843,
|
| 807 |
-
"loss": 0.012704399228096009,
|
| 808 |
-
"step": 1140
|
| 809 |
-
},
|
| 810 |
-
{
|
| 811 |
-
"epoch": 0.3946803946803947,
|
| 812 |
-
"grad_norm": 0.16973139345645905,
|
| 813 |
-
"learning_rate": 0.00019184484392629586,
|
| 814 |
-
"loss": 0.009967386722564697,
|
| 815 |
-
"step": 1150
|
| 816 |
-
},
|
| 817 |
-
{
|
| 818 |
-
"epoch": 0.3981123981123981,
|
| 819 |
-
"grad_norm": 0.3374408185482025,
|
| 820 |
-
"learning_rate": 0.00019170177793102736,
|
| 821 |
-
"loss": 0.013026086986064911,
|
| 822 |
-
"step": 1160
|
| 823 |
-
},
|
| 824 |
-
{
|
| 825 |
-
"epoch": 0.4015444015444015,
|
| 826 |
-
"grad_norm": 0.6263651847839355,
|
| 827 |
-
"learning_rate": 0.0001915575222154721,
|
| 828 |
-
"loss": 0.014929966628551483,
|
| 829 |
-
"step": 1170
|
| 830 |
-
},
|
| 831 |
-
{
|
| 832 |
-
"epoch": 0.40497640497640497,
|
| 833 |
-
"grad_norm": 0.5159519910812378,
|
| 834 |
-
"learning_rate": 0.00019141207865117448,
|
| 835 |
-
"loss": 0.022531284391880034,
|
| 836 |
-
"step": 1180
|
| 837 |
-
},
|
| 838 |
-
{
|
| 839 |
-
"epoch": 0.4084084084084084,
|
| 840 |
-
"grad_norm": 0.27669215202331543,
|
| 841 |
-
"learning_rate": 0.0001912654491250899,
|
| 842 |
-
"loss": 0.013255235552787781,
|
| 843 |
-
"step": 1190
|
| 844 |
-
},
|
| 845 |
-
{
|
| 846 |
-
"epoch": 0.4118404118404118,
|
| 847 |
-
"grad_norm": 0.3306339383125305,
|
| 848 |
-
"learning_rate": 0.00019111763553956006,
|
| 849 |
-
"loss": 0.0071789674460887905,
|
| 850 |
-
"step": 1200
|
| 851 |
-
},
|
| 852 |
-
{
|
| 853 |
-
"epoch": 0.41527241527241526,
|
| 854 |
-
"grad_norm": 0.1400749832391739,
|
| 855 |
-
"learning_rate": 0.0001909686398122885,
|
| 856 |
-
"loss": 0.012304867804050445,
|
| 857 |
-
"step": 1210
|
| 858 |
-
},
|
| 859 |
-
{
|
| 860 |
-
"epoch": 0.4187044187044187,
|
| 861 |
-
"grad_norm": 0.480392724275589,
|
| 862 |
-
"learning_rate": 0.0001908184638763156,
|
| 863 |
-
"loss": 0.013182352483272552,
|
| 864 |
-
"step": 1220
|
| 865 |
-
},
|
| 866 |
-
{
|
| 867 |
-
"epoch": 0.42213642213642216,
|
| 868 |
-
"grad_norm": 0.07393156737089157,
|
| 869 |
-
"learning_rate": 0.00019066710967999352,
|
| 870 |
-
"loss": 0.01357671171426773,
|
| 871 |
-
"step": 1230
|
| 872 |
-
},
|
| 873 |
-
{
|
| 874 |
-
"epoch": 0.42556842556842556,
|
| 875 |
-
"grad_norm": 0.5818315148353577,
|
| 876 |
-
"learning_rate": 0.00019051457918696092,
|
| 877 |
-
"loss": 0.01494317352771759,
|
| 878 |
-
"step": 1240
|
| 879 |
-
},
|
| 880 |
-
{
|
| 881 |
-
"epoch": 0.429000429000429,
|
| 882 |
-
"grad_norm": 0.12537962198257446,
|
| 883 |
-
"learning_rate": 0.0001903608743761175,
|
| 884 |
-
"loss": 0.016142460703849792,
|
| 885 |
-
"step": 1250
|
| 886 |
-
},
|
| 887 |
-
{
|
| 888 |
-
"epoch": 0.43243243243243246,
|
| 889 |
-
"grad_norm": 0.6750714778900146,
|
| 890 |
-
"learning_rate": 0.00019020599724159842,
|
| 891 |
-
"loss": 0.010620266944169999,
|
| 892 |
-
"step": 1260
|
| 893 |
-
},
|
| 894 |
-
{
|
| 895 |
-
"epoch": 0.43586443586443585,
|
| 896 |
-
"grad_norm": 2.9211416244506836,
|
| 897 |
-
"learning_rate": 0.00019004994979274816,
|
| 898 |
-
"loss": 0.02269883006811142,
|
| 899 |
-
"step": 1270
|
| 900 |
-
},
|
| 901 |
-
{
|
| 902 |
-
"epoch": 0.4392964392964393,
|
| 903 |
-
"grad_norm": 0.16892600059509277,
|
| 904 |
-
"learning_rate": 0.0001898927340540947,
|
| 905 |
-
"loss": 0.020440049469470978,
|
| 906 |
-
"step": 1280
|
| 907 |
-
},
|
| 908 |
-
{
|
| 909 |
-
"epoch": 0.44272844272844275,
|
| 910 |
-
"grad_norm": 1.130327820777893,
|
| 911 |
-
"learning_rate": 0.00018973435206532323,
|
| 912 |
-
"loss": 0.012587438523769378,
|
| 913 |
-
"step": 1290
|
| 914 |
-
},
|
| 915 |
-
{
|
| 916 |
-
"epoch": 0.44616044616044614,
|
| 917 |
-
"grad_norm": 1.3412842750549316,
|
| 918 |
-
"learning_rate": 0.00018957480588124956,
|
| 919 |
-
"loss": 0.009808909147977829,
|
| 920 |
-
"step": 1300
|
| 921 |
-
},
|
| 922 |
-
{
|
| 923 |
-
"epoch": 0.4495924495924496,
|
| 924 |
-
"grad_norm": 0.8361186385154724,
|
| 925 |
-
"learning_rate": 0.00018941409757179353,
|
| 926 |
-
"loss": 0.010318058729171752,
|
| 927 |
-
"step": 1310
|
| 928 |
-
},
|
| 929 |
-
{
|
| 930 |
-
"epoch": 0.45302445302445304,
|
| 931 |
-
"grad_norm": 0.030115943402051926,
|
| 932 |
-
"learning_rate": 0.00018925222922195223,
|
| 933 |
-
"loss": 0.006556583940982819,
|
| 934 |
-
"step": 1320
|
| 935 |
-
},
|
| 936 |
-
{
|
| 937 |
-
"epoch": 0.45645645645645644,
|
| 938 |
-
"grad_norm": 0.07012518495321274,
|
| 939 |
-
"learning_rate": 0.0001890892029317728,
|
| 940 |
-
"loss": 0.006556279957294464,
|
| 941 |
-
"step": 1330
|
| 942 |
-
},
|
| 943 |
-
{
|
| 944 |
-
"epoch": 0.4598884598884599,
|
| 945 |
-
"grad_norm": 0.44485822319984436,
|
| 946 |
-
"learning_rate": 0.0001889250208163253,
|
| 947 |
-
"loss": 0.006202537938952446,
|
| 948 |
-
"step": 1340
|
| 949 |
-
},
|
| 950 |
-
{
|
| 951 |
-
"epoch": 0.46332046332046334,
|
| 952 |
-
"grad_norm": 0.7814382910728455,
|
| 953 |
-
"learning_rate": 0.00018875968500567524,
|
| 954 |
-
"loss": 0.007819340378046036,
|
| 955 |
-
"step": 1350
|
| 956 |
-
},
|
| 957 |
-
{
|
| 958 |
-
"epoch": 0.46675246675246673,
|
| 959 |
-
"grad_norm": 2.737605094909668,
|
| 960 |
-
"learning_rate": 0.00018859319764485594,
|
| 961 |
-
"loss": 0.007837437093257904,
|
| 962 |
-
"step": 1360
|
| 963 |
-
},
|
| 964 |
-
{
|
| 965 |
-
"epoch": 0.4701844701844702,
|
| 966 |
-
"grad_norm": 2.685511350631714,
|
| 967 |
-
"learning_rate": 0.00018842556089384066,
|
| 968 |
-
"loss": 0.007956080138683319,
|
| 969 |
-
"step": 1370
|
| 970 |
-
},
|
| 971 |
-
{
|
| 972 |
-
"epoch": 0.47361647361647363,
|
| 973 |
-
"grad_norm": 0.1693638116121292,
|
| 974 |
-
"learning_rate": 0.00018825677692751465,
|
| 975 |
-
"loss": 0.011585228145122528,
|
| 976 |
-
"step": 1380
|
| 977 |
-
},
|
| 978 |
-
{
|
| 979 |
-
"epoch": 0.477048477048477,
|
| 980 |
-
"grad_norm": 0.6162756085395813,
|
| 981 |
-
"learning_rate": 0.00018808684793564692,
|
| 982 |
-
"loss": 0.016635045409202576,
|
| 983 |
-
"step": 1390
|
| 984 |
-
},
|
| 985 |
-
{
|
| 986 |
-
"epoch": 0.4804804804804805,
|
| 987 |
-
"grad_norm": 0.04063958674669266,
|
| 988 |
-
"learning_rate": 0.00018791577612286176,
|
| 989 |
-
"loss": 0.014098620414733887,
|
| 990 |
-
"step": 1400
|
| 991 |
}
|
| 992 |
],
|
| 993 |
"logging_steps": 10,
|
|
@@ -1007,7 +447,7 @@
|
|
| 1007 |
"attributes": {}
|
| 1008 |
}
|
| 1009 |
},
|
| 1010 |
-
"total_flos":
|
| 1011 |
"train_batch_size": 2,
|
| 1012 |
"trial_name": null,
|
| 1013 |
"trial_params": null
|
|
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.2059202059202059,
|
| 6 |
"eval_steps": 500,
|
| 7 |
+
"global_step": 600,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
|
|
| 428 |
"learning_rate": 0.00019783319385748891,
|
| 429 |
"loss": 0.005371841043233872,
|
| 430 |
"step": 600
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 431 |
}
|
| 432 |
],
|
| 433 |
"logging_steps": 10,
|
|
|
|
| 447 |
"attributes": {}
|
| 448 |
}
|
| 449 |
},
|
| 450 |
+
"total_flos": 2276492884035072.0,
|
| 451 |
"train_batch_size": 2,
|
| 452 |
"trial_name": null,
|
| 453 |
"trial_params": null
|