flozi00 commited on
Commit
766ec6b
·
verified ·
1 Parent(s): a9e0db5

Upload folder using huggingface_hub

Browse files
model-00001-of-00004.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:bc0ee6faacc50adc46009347c720349ab1a64a4b127d2ec489acb28ec17f578a
3
  size 4991459544
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:81ab56e8590993681dead0f3d3cc6f45a8eb23b61469318abbe93ba8b801c546
3
  size 4991459544
model-00002-of-00004.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0aca0fa27abcf69a5181f1256981b3bdfc3fa6225b8e1b8a6f45908ff32f012a
3
  size 4991757456
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8cf00992d4e87e8b9f1608fabcc52dd672432390f412288836a3fa223e221dc4
3
  size 4991757456
model-00003-of-00004.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4c78320c560783ace2d31cf37f1c6b612e9b2e73dbe490f1956af7e5b0e4f312
3
  size 4947691960
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:773165bd6b4f416dd506aa299b1989b6cf65e31562900a85d33e3787fd1db543
3
  size 4947691960
model-00004-of-00004.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:14271d674b4a93c1006256a68aa44ef43b33e0406ca31ab40a253783388a21e9
3
  size 1863387424
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1adc5a0afafce5cf96019957a1e54e82b326f1509d538f929f01e595d5ee2fe7
3
  size 1863387424
trainer_state.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
- "epoch": 0.32983132955892425,
5
  "eval_steps": 100000,
6
- "global_step": 1400,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
@@ -2536,6 +2536,726 @@
2536
  "memory(GiB)": 75.24,
2537
  "step": 1400,
2538
  "train_speed(iter/s)": 0.018457
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2539
  }
2540
  ],
2541
  "logging_steps": 5,
@@ -2555,7 +3275,7 @@
2555
  "attributes": {}
2556
  }
2557
  },
2558
- "total_flos": 1.551576300546687e+18,
2559
  "train_batch_size": 4,
2560
  "trial_name": null,
2561
  "trial_params": null
 
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
+ "epoch": 0.42406885229004543,
5
  "eval_steps": 100000,
6
+ "global_step": 1800,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
 
2536
  "memory(GiB)": 75.24,
2537
  "step": 1400,
2538
  "train_speed(iter/s)": 0.018457
2539
+ },
2540
+ {
2541
+ "epoch": 0.3310092985930632,
2542
+ "grad_norm": 2.234375,
2543
+ "learning_rate": 7.533056236688856e-06,
2544
+ "loss": 0.05440799,
2545
+ "memory(GiB)": 75.24,
2546
+ "step": 1405,
2547
+ "train_speed(iter/s)": 0.018449
2548
+ },
2549
+ {
2550
+ "epoch": 0.33218726762720224,
2551
+ "grad_norm": 1.875,
2552
+ "learning_rate": 7.517079679626914e-06,
2553
+ "loss": 0.04769931,
2554
+ "memory(GiB)": 75.24,
2555
+ "step": 1410,
2556
+ "train_speed(iter/s)": 0.01845
2557
+ },
2558
+ {
2559
+ "epoch": 0.33336523666134127,
2560
+ "grad_norm": 2.8125,
2561
+ "learning_rate": 7.501068624863622e-06,
2562
+ "loss": 0.06096817,
2563
+ "memory(GiB)": 75.24,
2564
+ "step": 1415,
2565
+ "train_speed(iter/s)": 0.01845
2566
+ },
2567
+ {
2568
+ "epoch": 0.3345432056954803,
2569
+ "grad_norm": 2.09375,
2570
+ "learning_rate": 7.485023291837641e-06,
2571
+ "loss": 0.05072919,
2572
+ "memory(GiB)": 75.24,
2573
+ "step": 1420,
2574
+ "train_speed(iter/s)": 0.01845
2575
+ },
2576
+ {
2577
+ "epoch": 0.3357211747296193,
2578
+ "grad_norm": 1.921875,
2579
+ "learning_rate": 7.468943900457423e-06,
2580
+ "loss": 0.05104024,
2581
+ "memory(GiB)": 75.24,
2582
+ "step": 1425,
2583
+ "train_speed(iter/s)": 0.01845
2584
+ },
2585
+ {
2586
+ "epoch": 0.3368991437637583,
2587
+ "grad_norm": 1.703125,
2588
+ "learning_rate": 7.4528306710982135e-06,
2589
+ "loss": 0.05378548,
2590
+ "memory(GiB)": 75.24,
2591
+ "step": 1430,
2592
+ "train_speed(iter/s)": 0.018451
2593
+ },
2594
+ {
2595
+ "epoch": 0.3380771127978973,
2596
+ "grad_norm": 1.796875,
2597
+ "learning_rate": 7.436683824599015e-06,
2598
+ "loss": 0.05540187,
2599
+ "memory(GiB)": 75.24,
2600
+ "step": 1435,
2601
+ "train_speed(iter/s)": 0.018451
2602
+ },
2603
+ {
2604
+ "epoch": 0.33925508183203634,
2605
+ "grad_norm": 2.25,
2606
+ "learning_rate": 7.4205035822595716e-06,
2607
+ "loss": 0.05696809,
2608
+ "memory(GiB)": 75.24,
2609
+ "step": 1440,
2610
+ "train_speed(iter/s)": 0.018452
2611
+ },
2612
+ {
2613
+ "epoch": 0.34043305086617537,
2614
+ "grad_norm": 1.8671875,
2615
+ "learning_rate": 7.404290165837335e-06,
2616
+ "loss": 0.05431355,
2617
+ "memory(GiB)": 75.24,
2618
+ "step": 1445,
2619
+ "train_speed(iter/s)": 0.018452
2620
+ },
2621
+ {
2622
+ "epoch": 0.3416110199003144,
2623
+ "grad_norm": 1.7421875,
2624
+ "learning_rate": 7.388043797544415e-06,
2625
+ "loss": 0.04478872,
2626
+ "memory(GiB)": 75.24,
2627
+ "step": 1450,
2628
+ "train_speed(iter/s)": 0.018453
2629
+ },
2630
+ {
2631
+ "epoch": 0.34278898893445336,
2632
+ "grad_norm": 1.9609375,
2633
+ "learning_rate": 7.37176470004455e-06,
2634
+ "loss": 0.04893782,
2635
+ "memory(GiB)": 75.24,
2636
+ "step": 1455,
2637
+ "train_speed(iter/s)": 0.018453
2638
+ },
2639
+ {
2640
+ "epoch": 0.3439669579685924,
2641
+ "grad_norm": 1.671875,
2642
+ "learning_rate": 7.3554530964500416e-06,
2643
+ "loss": 0.05598937,
2644
+ "memory(GiB)": 75.24,
2645
+ "step": 1460,
2646
+ "train_speed(iter/s)": 0.018454
2647
+ },
2648
+ {
2649
+ "epoch": 0.3451449270027314,
2650
+ "grad_norm": 2.453125,
2651
+ "learning_rate": 7.339109210318704e-06,
2652
+ "loss": 0.05856699,
2653
+ "memory(GiB)": 75.24,
2654
+ "step": 1465,
2655
+ "train_speed(iter/s)": 0.018454
2656
+ },
2657
+ {
2658
+ "epoch": 0.34632289603687044,
2659
+ "grad_norm": 2.28125,
2660
+ "learning_rate": 7.322733265650793e-06,
2661
+ "loss": 0.04954901,
2662
+ "memory(GiB)": 75.24,
2663
+ "step": 1470,
2664
+ "train_speed(iter/s)": 0.018454
2665
+ },
2666
+ {
2667
+ "epoch": 0.34750086507100947,
2668
+ "grad_norm": 2.046875,
2669
+ "learning_rate": 7.30632548688595e-06,
2670
+ "loss": 0.06270002,
2671
+ "memory(GiB)": 75.24,
2672
+ "step": 1475,
2673
+ "train_speed(iter/s)": 0.018454
2674
+ },
2675
+ {
2676
+ "epoch": 0.34867883410514844,
2677
+ "grad_norm": 2.03125,
2678
+ "learning_rate": 7.289886098900112e-06,
2679
+ "loss": 0.04866944,
2680
+ "memory(GiB)": 75.24,
2681
+ "step": 1480,
2682
+ "train_speed(iter/s)": 0.018455
2683
+ },
2684
+ {
2685
+ "epoch": 0.34985680313928746,
2686
+ "grad_norm": 1.7421875,
2687
+ "learning_rate": 7.273415327002431e-06,
2688
+ "loss": 0.04686972,
2689
+ "memory(GiB)": 75.24,
2690
+ "step": 1485,
2691
+ "train_speed(iter/s)": 0.018455
2692
+ },
2693
+ {
2694
+ "epoch": 0.3510347721734265,
2695
+ "grad_norm": 1.6484375,
2696
+ "learning_rate": 7.256913396932196e-06,
2697
+ "loss": 0.05006968,
2698
+ "memory(GiB)": 75.24,
2699
+ "step": 1490,
2700
+ "train_speed(iter/s)": 0.018456
2701
+ },
2702
+ {
2703
+ "epoch": 0.3522127412075655,
2704
+ "grad_norm": 1.9921875,
2705
+ "learning_rate": 7.240380534855729e-06,
2706
+ "loss": 0.0498129,
2707
+ "memory(GiB)": 75.24,
2708
+ "step": 1495,
2709
+ "train_speed(iter/s)": 0.018456
2710
+ },
2711
+ {
2712
+ "epoch": 0.35339071024170454,
2713
+ "grad_norm": 1.953125,
2714
+ "learning_rate": 7.223816967363289e-06,
2715
+ "loss": 0.0470607,
2716
+ "memory(GiB)": 75.24,
2717
+ "step": 1500,
2718
+ "train_speed(iter/s)": 0.018456
2719
+ },
2720
+ {
2721
+ "epoch": 0.3545686792758435,
2722
+ "grad_norm": 1.9453125,
2723
+ "learning_rate": 7.207222921465966e-06,
2724
+ "loss": 0.04950109,
2725
+ "memory(GiB)": 75.24,
2726
+ "step": 1505,
2727
+ "train_speed(iter/s)": 0.018448
2728
+ },
2729
+ {
2730
+ "epoch": 0.35574664830998254,
2731
+ "grad_norm": 1.703125,
2732
+ "learning_rate": 7.190598624592575e-06,
2733
+ "loss": 0.04311339,
2734
+ "memory(GiB)": 75.24,
2735
+ "step": 1510,
2736
+ "train_speed(iter/s)": 0.018448
2737
+ },
2738
+ {
2739
+ "epoch": 0.35692461734412156,
2740
+ "grad_norm": 1.84375,
2741
+ "learning_rate": 7.173944304586529e-06,
2742
+ "loss": 0.04974242,
2743
+ "memory(GiB)": 75.24,
2744
+ "step": 1515,
2745
+ "train_speed(iter/s)": 0.018448
2746
+ },
2747
+ {
2748
+ "epoch": 0.3581025863782606,
2749
+ "grad_norm": 1.484375,
2750
+ "learning_rate": 7.15726018970272e-06,
2751
+ "loss": 0.04702036,
2752
+ "memory(GiB)": 75.24,
2753
+ "step": 1520,
2754
+ "train_speed(iter/s)": 0.018448
2755
+ },
2756
+ {
2757
+ "epoch": 0.3592805554123996,
2758
+ "grad_norm": 2.15625,
2759
+ "learning_rate": 7.140546508604399e-06,
2760
+ "loss": 0.0517059,
2761
+ "memory(GiB)": 75.24,
2762
+ "step": 1525,
2763
+ "train_speed(iter/s)": 0.018448
2764
+ },
2765
+ {
2766
+ "epoch": 0.3604585244465386,
2767
+ "grad_norm": 2.390625,
2768
+ "learning_rate": 7.12380349036003e-06,
2769
+ "loss": 0.04891534,
2770
+ "memory(GiB)": 75.24,
2771
+ "step": 1530,
2772
+ "train_speed(iter/s)": 0.018449
2773
+ },
2774
+ {
2775
+ "epoch": 0.3616364934806776,
2776
+ "grad_norm": 2.703125,
2777
+ "learning_rate": 7.107031364440157e-06,
2778
+ "loss": 0.05355787,
2779
+ "memory(GiB)": 75.24,
2780
+ "step": 1535,
2781
+ "train_speed(iter/s)": 0.018449
2782
+ },
2783
+ {
2784
+ "epoch": 0.36281446251481664,
2785
+ "grad_norm": 2.140625,
2786
+ "learning_rate": 7.090230360714254e-06,
2787
+ "loss": 0.05681676,
2788
+ "memory(GiB)": 75.24,
2789
+ "step": 1540,
2790
+ "train_speed(iter/s)": 0.01845
2791
+ },
2792
+ {
2793
+ "epoch": 0.36399243154895566,
2794
+ "grad_norm": 2.359375,
2795
+ "learning_rate": 7.073400709447587e-06,
2796
+ "loss": 0.05522673,
2797
+ "memory(GiB)": 75.24,
2798
+ "step": 1545,
2799
+ "train_speed(iter/s)": 0.01845
2800
+ },
2801
+ {
2802
+ "epoch": 0.3651704005830947,
2803
+ "grad_norm": 2.015625,
2804
+ "learning_rate": 7.056542641298042e-06,
2805
+ "loss": 0.04967948,
2806
+ "memory(GiB)": 75.24,
2807
+ "step": 1550,
2808
+ "train_speed(iter/s)": 0.018451
2809
+ },
2810
+ {
2811
+ "epoch": 0.36634836961723366,
2812
+ "grad_norm": 2.25,
2813
+ "learning_rate": 7.039656387312973e-06,
2814
+ "loss": 0.05282811,
2815
+ "memory(GiB)": 75.24,
2816
+ "step": 1555,
2817
+ "train_speed(iter/s)": 0.018452
2818
+ },
2819
+ {
2820
+ "epoch": 0.3675263386513727,
2821
+ "grad_norm": 1.859375,
2822
+ "learning_rate": 7.022742178926034e-06,
2823
+ "loss": 0.04866407,
2824
+ "memory(GiB)": 75.24,
2825
+ "step": 1560,
2826
+ "train_speed(iter/s)": 0.018452
2827
+ },
2828
+ {
2829
+ "epoch": 0.3687043076855117,
2830
+ "grad_norm": 2.359375,
2831
+ "learning_rate": 7.005800247954005e-06,
2832
+ "loss": 0.05169091,
2833
+ "memory(GiB)": 75.24,
2834
+ "step": 1565,
2835
+ "train_speed(iter/s)": 0.018452
2836
+ },
2837
+ {
2838
+ "epoch": 0.36988227671965074,
2839
+ "grad_norm": 1.953125,
2840
+ "learning_rate": 6.98883082659362e-06,
2841
+ "loss": 0.05216286,
2842
+ "memory(GiB)": 75.24,
2843
+ "step": 1570,
2844
+ "train_speed(iter/s)": 0.018453
2845
+ },
2846
+ {
2847
+ "epoch": 0.37106024575378976,
2848
+ "grad_norm": 1.7734375,
2849
+ "learning_rate": 6.971834147418377e-06,
2850
+ "loss": 0.05442037,
2851
+ "memory(GiB)": 75.24,
2852
+ "step": 1575,
2853
+ "train_speed(iter/s)": 0.018454
2854
+ },
2855
+ {
2856
+ "epoch": 0.3722382147879288,
2857
+ "grad_norm": 1.7421875,
2858
+ "learning_rate": 6.954810443375356e-06,
2859
+ "loss": 0.05119426,
2860
+ "memory(GiB)": 75.24,
2861
+ "step": 1580,
2862
+ "train_speed(iter/s)": 0.018454
2863
+ },
2864
+ {
2865
+ "epoch": 0.37341618382206776,
2866
+ "grad_norm": 1.59375,
2867
+ "learning_rate": 6.937759947782027e-06,
2868
+ "loss": 0.05131354,
2869
+ "memory(GiB)": 75.24,
2870
+ "step": 1585,
2871
+ "train_speed(iter/s)": 0.018455
2872
+ },
2873
+ {
2874
+ "epoch": 0.3745941528562068,
2875
+ "grad_norm": 1.640625,
2876
+ "learning_rate": 6.920682894323046e-06,
2877
+ "loss": 0.05248099,
2878
+ "memory(GiB)": 75.24,
2879
+ "step": 1590,
2880
+ "train_speed(iter/s)": 0.018456
2881
+ },
2882
+ {
2883
+ "epoch": 0.3757721218903458,
2884
+ "grad_norm": 1.7109375,
2885
+ "learning_rate": 6.903579517047061e-06,
2886
+ "loss": 0.04946129,
2887
+ "memory(GiB)": 75.24,
2888
+ "step": 1595,
2889
+ "train_speed(iter/s)": 0.018456
2890
+ },
2891
+ {
2892
+ "epoch": 0.37695009092448484,
2893
+ "grad_norm": 1.796875,
2894
+ "learning_rate": 6.886450050363496e-06,
2895
+ "loss": 0.05146198,
2896
+ "memory(GiB)": 75.24,
2897
+ "step": 1600,
2898
+ "train_speed(iter/s)": 0.018457
2899
+ },
2900
+ {
2901
+ "epoch": 0.37812805995862386,
2902
+ "grad_norm": 2.171875,
2903
+ "learning_rate": 6.869294729039344e-06,
2904
+ "loss": 0.05650499,
2905
+ "memory(GiB)": 75.24,
2906
+ "step": 1605,
2907
+ "train_speed(iter/s)": 0.018447
2908
+ },
2909
+ {
2910
+ "epoch": 0.37930602899276283,
2911
+ "grad_norm": 1.578125,
2912
+ "learning_rate": 6.8521137881959454e-06,
2913
+ "loss": 0.05240663,
2914
+ "memory(GiB)": 75.24,
2915
+ "step": 1610,
2916
+ "train_speed(iter/s)": 0.018448
2917
+ },
2918
+ {
2919
+ "epoch": 0.38048399802690186,
2920
+ "grad_norm": 1.7421875,
2921
+ "learning_rate": 6.834907463305771e-06,
2922
+ "loss": 0.0468967,
2923
+ "memory(GiB)": 75.24,
2924
+ "step": 1615,
2925
+ "train_speed(iter/s)": 0.018448
2926
+ },
2927
+ {
2928
+ "epoch": 0.3816619670610409,
2929
+ "grad_norm": 1.8671875,
2930
+ "learning_rate": 6.817675990189188e-06,
2931
+ "loss": 0.04780641,
2932
+ "memory(GiB)": 75.24,
2933
+ "step": 1620,
2934
+ "train_speed(iter/s)": 0.018449
2935
+ },
2936
+ {
2937
+ "epoch": 0.3828399360951799,
2938
+ "grad_norm": 1.625,
2939
+ "learning_rate": 6.800419605011232e-06,
2940
+ "loss": 0.05245537,
2941
+ "memory(GiB)": 75.24,
2942
+ "step": 1625,
2943
+ "train_speed(iter/s)": 0.01845
2944
+ },
2945
+ {
2946
+ "epoch": 0.38401790512931894,
2947
+ "grad_norm": 2.53125,
2948
+ "learning_rate": 6.78313854427837e-06,
2949
+ "loss": 0.04904989,
2950
+ "memory(GiB)": 75.24,
2951
+ "step": 1630,
2952
+ "train_speed(iter/s)": 0.01845
2953
+ },
2954
+ {
2955
+ "epoch": 0.3851958741634579,
2956
+ "grad_norm": 1.7890625,
2957
+ "learning_rate": 6.76583304483526e-06,
2958
+ "loss": 0.05040743,
2959
+ "memory(GiB)": 75.24,
2960
+ "step": 1635,
2961
+ "train_speed(iter/s)": 0.018451
2962
+ },
2963
+ {
2964
+ "epoch": 0.38637384319759693,
2965
+ "grad_norm": 2.125,
2966
+ "learning_rate": 6.7485033438615e-06,
2967
+ "loss": 0.04769071,
2968
+ "memory(GiB)": 75.24,
2969
+ "step": 1640,
2970
+ "train_speed(iter/s)": 0.018451
2971
+ },
2972
+ {
2973
+ "epoch": 0.38755181223173596,
2974
+ "grad_norm": 2.34375,
2975
+ "learning_rate": 6.731149678868385e-06,
2976
+ "loss": 0.0504717,
2977
+ "memory(GiB)": 75.24,
2978
+ "step": 1645,
2979
+ "train_speed(iter/s)": 0.018451
2980
+ },
2981
+ {
2982
+ "epoch": 0.388729781265875,
2983
+ "grad_norm": 1.7578125,
2984
+ "learning_rate": 6.7137722876956435e-06,
2985
+ "loss": 0.04594471,
2986
+ "memory(GiB)": 75.24,
2987
+ "step": 1650,
2988
+ "train_speed(iter/s)": 0.018452
2989
+ },
2990
+ {
2991
+ "epoch": 0.389907750300014,
2992
+ "grad_norm": 2.015625,
2993
+ "learning_rate": 6.696371408508185e-06,
2994
+ "loss": 0.04914819,
2995
+ "memory(GiB)": 75.24,
2996
+ "step": 1655,
2997
+ "train_speed(iter/s)": 0.018453
2998
+ },
2999
+ {
3000
+ "epoch": 0.391085719334153,
3001
+ "grad_norm": 2.21875,
3002
+ "learning_rate": 6.67894727979283e-06,
3003
+ "loss": 0.05229876,
3004
+ "memory(GiB)": 75.24,
3005
+ "step": 1660,
3006
+ "train_speed(iter/s)": 0.018453
3007
+ },
3008
+ {
3009
+ "epoch": 0.392263688368292,
3010
+ "grad_norm": 1.6015625,
3011
+ "learning_rate": 6.661500140355046e-06,
3012
+ "loss": 0.05038055,
3013
+ "memory(GiB)": 75.24,
3014
+ "step": 1665,
3015
+ "train_speed(iter/s)": 0.018453
3016
+ },
3017
+ {
3018
+ "epoch": 0.39344165740243103,
3019
+ "grad_norm": 1.6484375,
3020
+ "learning_rate": 6.644030229315674e-06,
3021
+ "loss": 0.04761205,
3022
+ "memory(GiB)": 75.24,
3023
+ "step": 1670,
3024
+ "train_speed(iter/s)": 0.018454
3025
+ },
3026
+ {
3027
+ "epoch": 0.39461962643657006,
3028
+ "grad_norm": 1.96875,
3029
+ "learning_rate": 6.626537786107647e-06,
3030
+ "loss": 0.05017205,
3031
+ "memory(GiB)": 75.24,
3032
+ "step": 1675,
3033
+ "train_speed(iter/s)": 0.018455
3034
+ },
3035
+ {
3036
+ "epoch": 0.3957975954707091,
3037
+ "grad_norm": 2.03125,
3038
+ "learning_rate": 6.609023050472712e-06,
3039
+ "loss": 0.0522933,
3040
+ "memory(GiB)": 75.24,
3041
+ "step": 1680,
3042
+ "train_speed(iter/s)": 0.018456
3043
+ },
3044
+ {
3045
+ "epoch": 0.39697556450484806,
3046
+ "grad_norm": 2.015625,
3047
+ "learning_rate": 6.591486262458146e-06,
3048
+ "loss": 0.05544751,
3049
+ "memory(GiB)": 75.24,
3050
+ "step": 1685,
3051
+ "train_speed(iter/s)": 0.018456
3052
+ },
3053
+ {
3054
+ "epoch": 0.3981535335389871,
3055
+ "grad_norm": 2.5625,
3056
+ "learning_rate": 6.573927662413462e-06,
3057
+ "loss": 0.05269616,
3058
+ "memory(GiB)": 75.24,
3059
+ "step": 1690,
3060
+ "train_speed(iter/s)": 0.018457
3061
+ },
3062
+ {
3063
+ "epoch": 0.3993315025731261,
3064
+ "grad_norm": 1.6796875,
3065
+ "learning_rate": 6.556347490987115e-06,
3066
+ "loss": 0.0480206,
3067
+ "memory(GiB)": 75.24,
3068
+ "step": 1695,
3069
+ "train_speed(iter/s)": 0.018457
3070
+ },
3071
+ {
3072
+ "epoch": 0.40050947160726513,
3073
+ "grad_norm": 1.71875,
3074
+ "learning_rate": 6.53874598912321e-06,
3075
+ "loss": 0.04850869,
3076
+ "memory(GiB)": 75.24,
3077
+ "step": 1700,
3078
+ "train_speed(iter/s)": 0.018458
3079
+ },
3080
+ {
3081
+ "epoch": 0.40168744064140416,
3082
+ "grad_norm": 2.109375,
3083
+ "learning_rate": 6.521123398058189e-06,
3084
+ "loss": 0.04664425,
3085
+ "memory(GiB)": 75.24,
3086
+ "step": 1705,
3087
+ "train_speed(iter/s)": 0.018449
3088
+ },
3089
+ {
3090
+ "epoch": 0.40286540967554313,
3091
+ "grad_norm": 1.640625,
3092
+ "learning_rate": 6.503479959317536e-06,
3093
+ "loss": 0.05617427,
3094
+ "memory(GiB)": 75.24,
3095
+ "step": 1710,
3096
+ "train_speed(iter/s)": 0.01845
3097
+ },
3098
+ {
3099
+ "epoch": 0.40404337870968215,
3100
+ "grad_norm": 1.421875,
3101
+ "learning_rate": 6.485815914712461e-06,
3102
+ "loss": 0.04710643,
3103
+ "memory(GiB)": 75.24,
3104
+ "step": 1715,
3105
+ "train_speed(iter/s)": 0.01845
3106
+ },
3107
+ {
3108
+ "epoch": 0.4052213477438212,
3109
+ "grad_norm": 2.0,
3110
+ "learning_rate": 6.468131506336584e-06,
3111
+ "loss": 0.05491562,
3112
+ "memory(GiB)": 75.24,
3113
+ "step": 1720,
3114
+ "train_speed(iter/s)": 0.01845
3115
+ },
3116
+ {
3117
+ "epoch": 0.4063993167779602,
3118
+ "grad_norm": 1.7578125,
3119
+ "learning_rate": 6.450426976562623e-06,
3120
+ "loss": 0.04522764,
3121
+ "memory(GiB)": 75.24,
3122
+ "step": 1725,
3123
+ "train_speed(iter/s)": 0.018451
3124
+ },
3125
+ {
3126
+ "epoch": 0.40757728581209923,
3127
+ "grad_norm": 1.8671875,
3128
+ "learning_rate": 6.4327025680390646e-06,
3129
+ "loss": 0.0509581,
3130
+ "memory(GiB)": 75.24,
3131
+ "step": 1730,
3132
+ "train_speed(iter/s)": 0.018451
3133
+ },
3134
+ {
3135
+ "epoch": 0.4087552548462382,
3136
+ "grad_norm": 2.5625,
3137
+ "learning_rate": 6.414958523686845e-06,
3138
+ "loss": 0.05455146,
3139
+ "memory(GiB)": 75.24,
3140
+ "step": 1735,
3141
+ "train_speed(iter/s)": 0.018452
3142
+ },
3143
+ {
3144
+ "epoch": 0.40993322388037723,
3145
+ "grad_norm": 1.609375,
3146
+ "learning_rate": 6.397195086696021e-06,
3147
+ "loss": 0.04453045,
3148
+ "memory(GiB)": 75.24,
3149
+ "step": 1740,
3150
+ "train_speed(iter/s)": 0.018452
3151
+ },
3152
+ {
3153
+ "epoch": 0.41111119291451625,
3154
+ "grad_norm": 2.984375,
3155
+ "learning_rate": 6.379412500522427e-06,
3156
+ "loss": 0.04473322,
3157
+ "memory(GiB)": 75.24,
3158
+ "step": 1745,
3159
+ "train_speed(iter/s)": 0.018452
3160
+ },
3161
+ {
3162
+ "epoch": 0.4122891619486553,
3163
+ "grad_norm": 1.609375,
3164
+ "learning_rate": 6.361611008884353e-06,
3165
+ "loss": 0.05007306,
3166
+ "memory(GiB)": 75.24,
3167
+ "step": 1750,
3168
+ "train_speed(iter/s)": 0.018452
3169
+ },
3170
+ {
3171
+ "epoch": 0.4134671309827943,
3172
+ "grad_norm": 1.984375,
3173
+ "learning_rate": 6.343790855759191e-06,
3174
+ "loss": 0.04592868,
3175
+ "memory(GiB)": 75.24,
3176
+ "step": 1755,
3177
+ "train_speed(iter/s)": 0.018452
3178
+ },
3179
+ {
3180
+ "epoch": 0.41464510001693333,
3181
+ "grad_norm": 1.9140625,
3182
+ "learning_rate": 6.3259522853801015e-06,
3183
+ "loss": 0.04621382,
3184
+ "memory(GiB)": 75.24,
3185
+ "step": 1760,
3186
+ "train_speed(iter/s)": 0.018453
3187
+ },
3188
+ {
3189
+ "epoch": 0.4158230690510723,
3190
+ "grad_norm": 1.8671875,
3191
+ "learning_rate": 6.3080955422326595e-06,
3192
+ "loss": 0.04989561,
3193
+ "memory(GiB)": 75.24,
3194
+ "step": 1765,
3195
+ "train_speed(iter/s)": 0.018453
3196
+ },
3197
+ {
3198
+ "epoch": 0.41700103808521133,
3199
+ "grad_norm": 1.5390625,
3200
+ "learning_rate": 6.290220871051506e-06,
3201
+ "loss": 0.05395367,
3202
+ "memory(GiB)": 75.24,
3203
+ "step": 1770,
3204
+ "train_speed(iter/s)": 0.018454
3205
+ },
3206
+ {
3207
+ "epoch": 0.41817900711935035,
3208
+ "grad_norm": 1.8671875,
3209
+ "learning_rate": 6.272328516816993e-06,
3210
+ "loss": 0.04335098,
3211
+ "memory(GiB)": 75.24,
3212
+ "step": 1775,
3213
+ "train_speed(iter/s)": 0.018454
3214
+ },
3215
+ {
3216
+ "epoch": 0.4193569761534894,
3217
+ "grad_norm": 1.671875,
3218
+ "learning_rate": 6.2544187247518285e-06,
3219
+ "loss": 0.05292164,
3220
+ "memory(GiB)": 75.24,
3221
+ "step": 1780,
3222
+ "train_speed(iter/s)": 0.018455
3223
+ },
3224
+ {
3225
+ "epoch": 0.4205349451876284,
3226
+ "grad_norm": 1.609375,
3227
+ "learning_rate": 6.2364917403177115e-06,
3228
+ "loss": 0.04423888,
3229
+ "memory(GiB)": 75.24,
3230
+ "step": 1785,
3231
+ "train_speed(iter/s)": 0.018456
3232
+ },
3233
+ {
3234
+ "epoch": 0.4217129142217674,
3235
+ "grad_norm": 2.140625,
3236
+ "learning_rate": 6.218547809211973e-06,
3237
+ "loss": 0.04801815,
3238
+ "memory(GiB)": 75.24,
3239
+ "step": 1790,
3240
+ "train_speed(iter/s)": 0.018456
3241
+ },
3242
+ {
3243
+ "epoch": 0.4228908832559064,
3244
+ "grad_norm": 2.15625,
3245
+ "learning_rate": 6.200587177364204e-06,
3246
+ "loss": 0.0498428,
3247
+ "memory(GiB)": 75.24,
3248
+ "step": 1795,
3249
+ "train_speed(iter/s)": 0.018457
3250
+ },
3251
+ {
3252
+ "epoch": 0.42406885229004543,
3253
+ "grad_norm": 2.421875,
3254
+ "learning_rate": 6.1826100909328855e-06,
3255
+ "loss": 0.05989224,
3256
+ "memory(GiB)": 75.24,
3257
+ "step": 1800,
3258
+ "train_speed(iter/s)": 0.018457
3259
  }
3260
  ],
3261
  "logging_steps": 5,
 
3275
  "attributes": {}
3276
  }
3277
  },
3278
+ "total_flos": 1.9948649883254129e+18,
3279
  "train_batch_size": 4,
3280
  "trial_name": null,
3281
  "trial_params": null