rovdetection commited on
Commit
cb894e7
·
verified ·
1 Parent(s): 4ea2708

Training in progress, step 4000, checkpoint

Browse files
last-checkpoint/model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:718339d978d719631718cf1e1021d975eff890a6f6395001809d622ae5248e83
3
  size 4523108832
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a10e10938ea6d53da3125e0f624b08ad1b09594c0419dfa07b7f2648579c958c
3
  size 4523108832
last-checkpoint/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:46a30b0ce74d4d05f4828b62e82be9db01d80a45a8e3f52c8d9a7dc5ec1dd312
3
  size 2912179275
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4e1e5c56292a748b8b72632445cb4efc13d1068197c8852fc07c234fe4f81fb3
3
  size 2912179275
last-checkpoint/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:236304ae89e49aae8260113165ee63419b9b745f79120014328a7fa31ed79b42
3
  size 14645
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4801416a03beb0f63c300670679d3fb6cca48da8259362e9be9e6ffae0c5ffd0
3
  size 14645
last-checkpoint/scaler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ac1b9358ab1cb9acff90f4d1d692ac08bbdb1986a66544aed9f6fe9b801b17b3
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:e48253f89442a3ab8e914e97842a4d8d8c7232b507f4c3119b0e561bd4162e58
3
  size 1465
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:603734df5c0a090a9f670fec916099f7dc5c53069330e2b824b964daab27b613
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": 5.0252,
6
  "eval_steps": 500,
7
- "global_step": 3500,
8
  "is_hyper_param_search": false,
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
@@ -2458,6 +2458,356 @@
2458
  "learning_rate": 0.00013002,
2459
  "loss": 0.06365590691566467,
2460
  "step": 3500
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2461
  }
2462
  ],
2463
  "logging_steps": 10,
@@ -2477,7 +2827,7 @@
2477
  "attributes": {}
2478
  }
2479
  },
2480
- "total_flos": 2.962923297730806e+17,
2481
  "train_batch_size": 1,
2482
  "trial_name": null,
2483
  "trial_params": null
 
2
  "best_global_step": null,
3
  "best_metric": null,
4
  "best_model_checkpoint": null,
5
+ "epoch": 7.0128,
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,
 
2458
  "learning_rate": 0.00013002,
2459
  "loss": 0.06365590691566467,
2460
  "step": 3500
2461
+ },
2462
+ {
2463
+ "epoch": 5.0262,
2464
+ "grad_norm": 0.2963351309299469,
2465
+ "learning_rate": 0.00012982,
2466
+ "loss": 0.06292765736579894,
2467
+ "step": 3510
2468
+ },
2469
+ {
2470
+ "epoch": 5.0272,
2471
+ "grad_norm": 0.24942268431186676,
2472
+ "learning_rate": 0.00012962,
2473
+ "loss": 0.061947989463806155,
2474
+ "step": 3520
2475
+ },
2476
+ {
2477
+ "epoch": 5.0282,
2478
+ "grad_norm": 0.31199055910110474,
2479
+ "learning_rate": 0.00012942000000000002,
2480
+ "loss": 0.06328007578849792,
2481
+ "step": 3530
2482
+ },
2483
+ {
2484
+ "epoch": 5.0292,
2485
+ "grad_norm": 0.2745618522167206,
2486
+ "learning_rate": 0.00012922,
2487
+ "loss": 0.0613422691822052,
2488
+ "step": 3540
2489
+ },
2490
+ {
2491
+ "epoch": 5.0302,
2492
+ "grad_norm": 0.3146347999572754,
2493
+ "learning_rate": 0.00012902,
2494
+ "loss": 0.05851168036460876,
2495
+ "step": 3550
2496
+ },
2497
+ {
2498
+ "epoch": 5.0312,
2499
+ "grad_norm": 0.27351754903793335,
2500
+ "learning_rate": 0.00012882,
2501
+ "loss": 0.0684496819972992,
2502
+ "step": 3560
2503
+ },
2504
+ {
2505
+ "epoch": 6.001,
2506
+ "grad_norm": 0.2317938506603241,
2507
+ "learning_rate": 0.00012862,
2508
+ "loss": 0.06254401206970214,
2509
+ "step": 3570
2510
+ },
2511
+ {
2512
+ "epoch": 6.002,
2513
+ "grad_norm": 0.24452786147594452,
2514
+ "learning_rate": 0.00012842,
2515
+ "loss": 0.053379553556442264,
2516
+ "step": 3580
2517
+ },
2518
+ {
2519
+ "epoch": 6.003,
2520
+ "grad_norm": 0.2590080201625824,
2521
+ "learning_rate": 0.00012822000000000002,
2522
+ "loss": 0.052920466661453246,
2523
+ "step": 3590
2524
+ },
2525
+ {
2526
+ "epoch": 6.004,
2527
+ "grad_norm": 0.2468854933977127,
2528
+ "learning_rate": 0.00012802,
2529
+ "loss": 0.0584908664226532,
2530
+ "step": 3600
2531
+ },
2532
+ {
2533
+ "epoch": 6.005,
2534
+ "grad_norm": 0.24238893389701843,
2535
+ "learning_rate": 0.00012782,
2536
+ "loss": 0.05077446103096008,
2537
+ "step": 3610
2538
+ },
2539
+ {
2540
+ "epoch": 6.006,
2541
+ "grad_norm": 0.21615304052829742,
2542
+ "learning_rate": 0.00012762,
2543
+ "loss": 0.047195515036582945,
2544
+ "step": 3620
2545
+ },
2546
+ {
2547
+ "epoch": 6.007,
2548
+ "grad_norm": 0.2538570761680603,
2549
+ "learning_rate": 0.00012742,
2550
+ "loss": 0.05251326560974121,
2551
+ "step": 3630
2552
+ },
2553
+ {
2554
+ "epoch": 6.008,
2555
+ "grad_norm": 0.21952210366725922,
2556
+ "learning_rate": 0.00012722000000000002,
2557
+ "loss": 0.04804377257823944,
2558
+ "step": 3640
2559
+ },
2560
+ {
2561
+ "epoch": 6.009,
2562
+ "grad_norm": 0.2638396620750427,
2563
+ "learning_rate": 0.00012702000000000001,
2564
+ "loss": 0.05005112886428833,
2565
+ "step": 3650
2566
+ },
2567
+ {
2568
+ "epoch": 6.01,
2569
+ "grad_norm": 0.2512870728969574,
2570
+ "learning_rate": 0.00012682,
2571
+ "loss": 0.05190543532371521,
2572
+ "step": 3660
2573
+ },
2574
+ {
2575
+ "epoch": 6.011,
2576
+ "grad_norm": 0.26794344186782837,
2577
+ "learning_rate": 0.00012662,
2578
+ "loss": 0.05652360320091247,
2579
+ "step": 3670
2580
+ },
2581
+ {
2582
+ "epoch": 6.012,
2583
+ "grad_norm": 0.24694757163524628,
2584
+ "learning_rate": 0.00012642,
2585
+ "loss": 0.05183016061782837,
2586
+ "step": 3680
2587
+ },
2588
+ {
2589
+ "epoch": 6.013,
2590
+ "grad_norm": 0.27098706364631653,
2591
+ "learning_rate": 0.00012622,
2592
+ "loss": 0.05123690366744995,
2593
+ "step": 3690
2594
+ },
2595
+ {
2596
+ "epoch": 6.014,
2597
+ "grad_norm": 0.23455461859703064,
2598
+ "learning_rate": 0.00012602000000000002,
2599
+ "loss": 0.05616133213043213,
2600
+ "step": 3700
2601
+ },
2602
+ {
2603
+ "epoch": 6.015,
2604
+ "grad_norm": 0.23430338501930237,
2605
+ "learning_rate": 0.00012582,
2606
+ "loss": 0.05355681180953979,
2607
+ "step": 3710
2608
+ },
2609
+ {
2610
+ "epoch": 6.016,
2611
+ "grad_norm": 0.23048514127731323,
2612
+ "learning_rate": 0.00012562,
2613
+ "loss": 0.11050782203674317,
2614
+ "step": 3720
2615
+ },
2616
+ {
2617
+ "epoch": 6.017,
2618
+ "grad_norm": 0.2567964494228363,
2619
+ "learning_rate": 0.00012542,
2620
+ "loss": 0.05631558299064636,
2621
+ "step": 3730
2622
+ },
2623
+ {
2624
+ "epoch": 6.018,
2625
+ "grad_norm": 0.3105704188346863,
2626
+ "learning_rate": 0.00012522,
2627
+ "loss": 0.05600916147232056,
2628
+ "step": 3740
2629
+ },
2630
+ {
2631
+ "epoch": 6.019,
2632
+ "grad_norm": 0.25742048025131226,
2633
+ "learning_rate": 0.00012502,
2634
+ "loss": 0.0482271134853363,
2635
+ "step": 3750
2636
+ },
2637
+ {
2638
+ "epoch": 6.02,
2639
+ "grad_norm": 0.2826644480228424,
2640
+ "learning_rate": 0.00012482000000000001,
2641
+ "loss": 0.050260508060455324,
2642
+ "step": 3760
2643
+ },
2644
+ {
2645
+ "epoch": 6.021,
2646
+ "grad_norm": 0.2458411604166031,
2647
+ "learning_rate": 0.00012462,
2648
+ "loss": 0.05451898574829102,
2649
+ "step": 3770
2650
+ },
2651
+ {
2652
+ "epoch": 6.022,
2653
+ "grad_norm": 0.26720693707466125,
2654
+ "learning_rate": 0.00012442,
2655
+ "loss": 0.05155031681060791,
2656
+ "step": 3780
2657
+ },
2658
+ {
2659
+ "epoch": 6.023,
2660
+ "grad_norm": 0.24704712629318237,
2661
+ "learning_rate": 0.00012422,
2662
+ "loss": 0.06429644227027893,
2663
+ "step": 3790
2664
+ },
2665
+ {
2666
+ "epoch": 6.024,
2667
+ "grad_norm": 0.23193997144699097,
2668
+ "learning_rate": 0.00012402,
2669
+ "loss": 0.051171398162841795,
2670
+ "step": 3800
2671
+ },
2672
+ {
2673
+ "epoch": 6.025,
2674
+ "grad_norm": 0.2553248405456543,
2675
+ "learning_rate": 0.00012382,
2676
+ "loss": 0.04670791625976563,
2677
+ "step": 3810
2678
+ },
2679
+ {
2680
+ "epoch": 6.026,
2681
+ "grad_norm": 0.22213296592235565,
2682
+ "learning_rate": 0.00012362,
2683
+ "loss": 0.04988162517547608,
2684
+ "step": 3820
2685
+ },
2686
+ {
2687
+ "epoch": 6.027,
2688
+ "grad_norm": 0.288107305765152,
2689
+ "learning_rate": 0.00012342,
2690
+ "loss": 0.04665826857089996,
2691
+ "step": 3830
2692
+ },
2693
+ {
2694
+ "epoch": 6.028,
2695
+ "grad_norm": 0.21731558442115784,
2696
+ "learning_rate": 0.00012322,
2697
+ "loss": 0.04808914065361023,
2698
+ "step": 3840
2699
+ },
2700
+ {
2701
+ "epoch": 6.029,
2702
+ "grad_norm": 0.22236528992652893,
2703
+ "learning_rate": 0.00012302,
2704
+ "loss": 0.04851194024085999,
2705
+ "step": 3850
2706
+ },
2707
+ {
2708
+ "epoch": 6.03,
2709
+ "grad_norm": 0.23472720384597778,
2710
+ "learning_rate": 0.00012282,
2711
+ "loss": 0.04830377697944641,
2712
+ "step": 3860
2713
+ },
2714
+ {
2715
+ "epoch": 6.031,
2716
+ "grad_norm": 0.2267661690711975,
2717
+ "learning_rate": 0.00012262,
2718
+ "loss": 0.050290358066558835,
2719
+ "step": 3870
2720
+ },
2721
+ {
2722
+ "epoch": 7.0008,
2723
+ "grad_norm": 0.24839870631694794,
2724
+ "learning_rate": 0.00012242,
2725
+ "loss": 0.051380503177642825,
2726
+ "step": 3880
2727
+ },
2728
+ {
2729
+ "epoch": 7.0018,
2730
+ "grad_norm": 0.21834354102611542,
2731
+ "learning_rate": 0.00012222,
2732
+ "loss": 0.04199742078781128,
2733
+ "step": 3890
2734
+ },
2735
+ {
2736
+ "epoch": 7.0028,
2737
+ "grad_norm": 0.22921745479106903,
2738
+ "learning_rate": 0.00012202,
2739
+ "loss": 0.04476028978824616,
2740
+ "step": 3900
2741
+ },
2742
+ {
2743
+ "epoch": 7.0038,
2744
+ "grad_norm": 0.2517320215702057,
2745
+ "learning_rate": 0.00012182,
2746
+ "loss": 0.04470941722393036,
2747
+ "step": 3910
2748
+ },
2749
+ {
2750
+ "epoch": 7.0048,
2751
+ "grad_norm": 0.23211771249771118,
2752
+ "learning_rate": 0.00012162,
2753
+ "loss": 0.04450752139091492,
2754
+ "step": 3920
2755
+ },
2756
+ {
2757
+ "epoch": 7.0058,
2758
+ "grad_norm": 0.21550092101097107,
2759
+ "learning_rate": 0.00012142,
2760
+ "loss": 0.03875753879547119,
2761
+ "step": 3930
2762
+ },
2763
+ {
2764
+ "epoch": 7.0068,
2765
+ "grad_norm": 0.25320014357566833,
2766
+ "learning_rate": 0.00012122,
2767
+ "loss": 0.04415590167045593,
2768
+ "step": 3940
2769
+ },
2770
+ {
2771
+ "epoch": 7.0078,
2772
+ "grad_norm": 0.19818426668643951,
2773
+ "learning_rate": 0.00012102,
2774
+ "loss": 0.04161977171897888,
2775
+ "step": 3950
2776
+ },
2777
+ {
2778
+ "epoch": 7.0088,
2779
+ "grad_norm": 0.20641763508319855,
2780
+ "learning_rate": 0.00012082,
2781
+ "loss": 0.04034121632575989,
2782
+ "step": 3960
2783
+ },
2784
+ {
2785
+ "epoch": 7.0098,
2786
+ "grad_norm": 0.19377565383911133,
2787
+ "learning_rate": 0.00012062,
2788
+ "loss": 0.04172587096691131,
2789
+ "step": 3970
2790
+ },
2791
+ {
2792
+ "epoch": 7.0108,
2793
+ "grad_norm": 0.18526528775691986,
2794
+ "learning_rate": 0.00012042,
2795
+ "loss": 0.04182737171649933,
2796
+ "step": 3980
2797
+ },
2798
+ {
2799
+ "epoch": 7.0118,
2800
+ "grad_norm": 0.2163708209991455,
2801
+ "learning_rate": 0.00012022,
2802
+ "loss": 0.042621687054634094,
2803
+ "step": 3990
2804
+ },
2805
+ {
2806
+ "epoch": 7.0128,
2807
+ "grad_norm": 0.19984810054302216,
2808
+ "learning_rate": 0.00012001999999999999,
2809
+ "loss": 0.04216248393058777,
2810
+ "step": 4000
2811
  }
2812
  ],
2813
  "logging_steps": 10,
 
2827
  "attributes": {}
2828
  }
2829
  },
2830
+ "total_flos": 3.385768491215585e+17,
2831
  "train_batch_size": 1,
2832
  "trial_name": null,
2833
  "trial_params": null