Nexspear commited on
Commit
b966eef
·
verified ·
1 Parent(s): 450795d

Training in progress, step 400, checkpoint

Browse files
last-checkpoint/adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4278a6793f478e3afab8865caccbb20b2b0419791b3fd8c21c475b3ab2d23191
3
  size 100966336
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:86108a569f2c6a27e5992969edbb9a046fd0653a21c756b76c9b9dfdc2469941
3
  size 100966336
last-checkpoint/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ec9b473bb78b3e23b7d80e81fc3d3a9f2ab7e4bb1b3d3e7301674cd1f365bdc4
3
  size 51613668
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2e343da8721f201900fa24bb1e57f36ae75bacc30aea7af566fbb3657e196968
3
  size 51613668
last-checkpoint/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f6b701c95189e92437a94e3e9998838034b63a2012928b438aa7581de8f020d8
3
  size 14244
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:05100aa6d7a184b9ee32fdd6461077ba32634042ed9f6e25aded76cc38687f88
3
  size 14244
last-checkpoint/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f9096f15f02bac6b0fc27aa7aa4986f85d87d53fca310a75657e0015357af5c5
3
  size 1064
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:705cabf5cbc3a6ab0feb67c77b9b453d59efcc939ce90d310af96e621810f990
3
  size 1064
last-checkpoint/trainer_state.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
- "best_metric": 0.6619084477424622,
3
- "best_model_checkpoint": "miner_id_24/checkpoint-350",
4
- "epoch": 0.06502554575011611,
5
  "eval_steps": 50,
6
- "global_step": 350,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
@@ -2521,6 +2521,364 @@
2521
  "eval_samples_per_second": 42.782,
2522
  "eval_steps_per_second": 10.698,
2523
  "step": 350
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2524
  }
2525
  ],
2526
  "logging_steps": 1,
@@ -2544,12 +2902,12 @@
2544
  "should_evaluate": false,
2545
  "should_log": false,
2546
  "should_save": true,
2547
- "should_training_stop": false
2548
  },
2549
  "attributes": {}
2550
  }
2551
  },
2552
- "total_flos": 8.37583474041815e+16,
2553
  "train_batch_size": 8,
2554
  "trial_name": null,
2555
  "trial_params": null
 
1
  {
2
+ "best_metric": 0.6609265804290771,
3
+ "best_model_checkpoint": "miner_id_24/checkpoint-400",
4
+ "epoch": 0.07431490942870414,
5
  "eval_steps": 50,
6
+ "global_step": 400,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
 
2521
  "eval_samples_per_second": 42.782,
2522
  "eval_steps_per_second": 10.698,
2523
  "step": 350
2524
+ },
2525
+ {
2526
+ "epoch": 0.06521133302368788,
2527
+ "grad_norm": 0.5838446617126465,
2528
+ "learning_rate": 3.844650207332562e-06,
2529
+ "loss": 0.6433,
2530
+ "step": 351
2531
+ },
2532
+ {
2533
+ "epoch": 0.06539712029725964,
2534
+ "grad_norm": 0.7719784379005432,
2535
+ "learning_rate": 3.691267552111183e-06,
2536
+ "loss": 0.8205,
2537
+ "step": 352
2538
+ },
2539
+ {
2540
+ "epoch": 0.06558290757083139,
2541
+ "grad_norm": 0.8239154815673828,
2542
+ "learning_rate": 3.54088980417534e-06,
2543
+ "loss": 0.8143,
2544
+ "step": 353
2545
+ },
2546
+ {
2547
+ "epoch": 0.06576869484440316,
2548
+ "grad_norm": 0.8158086538314819,
2549
+ "learning_rate": 3.393526721321616e-06,
2550
+ "loss": 0.756,
2551
+ "step": 354
2552
+ },
2553
+ {
2554
+ "epoch": 0.06595448211797492,
2555
+ "grad_norm": 0.8154739737510681,
2556
+ "learning_rate": 3.249187865729264e-06,
2557
+ "loss": 0.7736,
2558
+ "step": 355
2559
+ },
2560
+ {
2561
+ "epoch": 0.06614026939154669,
2562
+ "grad_norm": 0.8578819632530212,
2563
+ "learning_rate": 3.1078826033397843e-06,
2564
+ "loss": 0.6857,
2565
+ "step": 356
2566
+ },
2567
+ {
2568
+ "epoch": 0.06632605666511844,
2569
+ "grad_norm": 0.7902318239212036,
2570
+ "learning_rate": 2.9696201032491434e-06,
2571
+ "loss": 0.786,
2572
+ "step": 357
2573
+ },
2574
+ {
2575
+ "epoch": 0.0665118439386902,
2576
+ "grad_norm": 0.7309139966964722,
2577
+ "learning_rate": 2.8344093371128424e-06,
2578
+ "loss": 0.6343,
2579
+ "step": 358
2580
+ },
2581
+ {
2582
+ "epoch": 0.06669763121226197,
2583
+ "grad_norm": 0.6805800199508667,
2584
+ "learning_rate": 2.70225907856374e-06,
2585
+ "loss": 0.564,
2586
+ "step": 359
2587
+ },
2588
+ {
2589
+ "epoch": 0.06688341848583372,
2590
+ "grad_norm": 0.6480996012687683,
2591
+ "learning_rate": 2.573177902642726e-06,
2592
+ "loss": 0.6257,
2593
+ "step": 360
2594
+ },
2595
+ {
2596
+ "epoch": 0.06706920575940548,
2597
+ "grad_norm": 0.5820838809013367,
2598
+ "learning_rate": 2.4471741852423237e-06,
2599
+ "loss": 0.5526,
2600
+ "step": 361
2601
+ },
2602
+ {
2603
+ "epoch": 0.06725499303297724,
2604
+ "grad_norm": 0.7131157517433167,
2605
+ "learning_rate": 2.324256102563188e-06,
2606
+ "loss": 0.6689,
2607
+ "step": 362
2608
+ },
2609
+ {
2610
+ "epoch": 0.067440780306549,
2611
+ "grad_norm": 0.6618325710296631,
2612
+ "learning_rate": 2.204431630583548e-06,
2613
+ "loss": 0.5775,
2614
+ "step": 363
2615
+ },
2616
+ {
2617
+ "epoch": 0.06762656758012076,
2618
+ "grad_norm": 0.6456477046012878,
2619
+ "learning_rate": 2.087708544541689e-06,
2620
+ "loss": 0.554,
2621
+ "step": 364
2622
+ },
2623
+ {
2624
+ "epoch": 0.06781235485369252,
2625
+ "grad_norm": 0.6535434126853943,
2626
+ "learning_rate": 1.974094418431388e-06,
2627
+ "loss": 0.6671,
2628
+ "step": 365
2629
+ },
2630
+ {
2631
+ "epoch": 0.06799814212726428,
2632
+ "grad_norm": 0.7245746850967407,
2633
+ "learning_rate": 1.8635966245104664e-06,
2634
+ "loss": 0.6361,
2635
+ "step": 366
2636
+ },
2637
+ {
2638
+ "epoch": 0.06818392940083605,
2639
+ "grad_norm": 0.573853075504303,
2640
+ "learning_rate": 1.7562223328224325e-06,
2641
+ "loss": 0.5036,
2642
+ "step": 367
2643
+ },
2644
+ {
2645
+ "epoch": 0.0683697166744078,
2646
+ "grad_norm": 0.6435849070549011,
2647
+ "learning_rate": 1.6519785107311891e-06,
2648
+ "loss": 0.5991,
2649
+ "step": 368
2650
+ },
2651
+ {
2652
+ "epoch": 0.06855550394797956,
2653
+ "grad_norm": 0.6336526870727539,
2654
+ "learning_rate": 1.5508719224689717e-06,
2655
+ "loss": 0.5897,
2656
+ "step": 369
2657
+ },
2658
+ {
2659
+ "epoch": 0.06874129122155133,
2660
+ "grad_norm": 0.5985144376754761,
2661
+ "learning_rate": 1.4529091286973995e-06,
2662
+ "loss": 0.5156,
2663
+ "step": 370
2664
+ },
2665
+ {
2666
+ "epoch": 0.06892707849512308,
2667
+ "grad_norm": 0.6162166595458984,
2668
+ "learning_rate": 1.358096486081778e-06,
2669
+ "loss": 0.624,
2670
+ "step": 371
2671
+ },
2672
+ {
2673
+ "epoch": 0.06911286576869484,
2674
+ "grad_norm": 0.5633879899978638,
2675
+ "learning_rate": 1.2664401468786114e-06,
2676
+ "loss": 0.548,
2677
+ "step": 372
2678
+ },
2679
+ {
2680
+ "epoch": 0.06929865304226661,
2681
+ "grad_norm": 0.7402003407478333,
2682
+ "learning_rate": 1.1779460585363944e-06,
2683
+ "loss": 0.6961,
2684
+ "step": 373
2685
+ },
2686
+ {
2687
+ "epoch": 0.06948444031583836,
2688
+ "grad_norm": 0.6589695811271667,
2689
+ "learning_rate": 1.0926199633097157e-06,
2690
+ "loss": 0.6001,
2691
+ "step": 374
2692
+ },
2693
+ {
2694
+ "epoch": 0.06967022758941012,
2695
+ "grad_norm": 0.5838775634765625,
2696
+ "learning_rate": 1.0104673978866164e-06,
2697
+ "loss": 0.4839,
2698
+ "step": 375
2699
+ },
2700
+ {
2701
+ "epoch": 0.06985601486298189,
2702
+ "grad_norm": 0.6574169397354126,
2703
+ "learning_rate": 9.314936930293283e-07,
2704
+ "loss": 0.6251,
2705
+ "step": 376
2706
+ },
2707
+ {
2708
+ "epoch": 0.07004180213655364,
2709
+ "grad_norm": 0.6504446268081665,
2710
+ "learning_rate": 8.557039732283944e-07,
2711
+ "loss": 0.6724,
2712
+ "step": 377
2713
+ },
2714
+ {
2715
+ "epoch": 0.07022758941012541,
2716
+ "grad_norm": 0.7052487134933472,
2717
+ "learning_rate": 7.83103156370113e-07,
2718
+ "loss": 0.6968,
2719
+ "step": 378
2720
+ },
2721
+ {
2722
+ "epoch": 0.07041337668369717,
2723
+ "grad_norm": 0.667565643787384,
2724
+ "learning_rate": 7.136959534174592e-07,
2725
+ "loss": 0.688,
2726
+ "step": 379
2727
+ },
2728
+ {
2729
+ "epoch": 0.07059916395726892,
2730
+ "grad_norm": 0.663486897945404,
2731
+ "learning_rate": 6.474868681043578e-07,
2732
+ "loss": 0.612,
2733
+ "step": 380
2734
+ },
2735
+ {
2736
+ "epoch": 0.07078495123084069,
2737
+ "grad_norm": 0.7024902105331421,
2738
+ "learning_rate": 5.844801966434832e-07,
2739
+ "loss": 0.6131,
2740
+ "step": 381
2741
+ },
2742
+ {
2743
+ "epoch": 0.07097073850441245,
2744
+ "grad_norm": 0.5356816053390503,
2745
+ "learning_rate": 5.246800274474439e-07,
2746
+ "loss": 0.5105,
2747
+ "step": 382
2748
+ },
2749
+ {
2750
+ "epoch": 0.0711565257779842,
2751
+ "grad_norm": 0.6758443713188171,
2752
+ "learning_rate": 4.680902408635335e-07,
2753
+ "loss": 0.564,
2754
+ "step": 383
2755
+ },
2756
+ {
2757
+ "epoch": 0.07134231305155597,
2758
+ "grad_norm": 0.658290445804596,
2759
+ "learning_rate": 4.1471450892189846e-07,
2760
+ "loss": 0.5886,
2761
+ "step": 384
2762
+ },
2763
+ {
2764
+ "epoch": 0.07152810032512773,
2765
+ "grad_norm": 0.7062132954597473,
2766
+ "learning_rate": 3.6455629509730136e-07,
2767
+ "loss": 0.6998,
2768
+ "step": 385
2769
+ },
2770
+ {
2771
+ "epoch": 0.07171388759869948,
2772
+ "grad_norm": 0.6337407231330872,
2773
+ "learning_rate": 3.1761885408435054e-07,
2774
+ "loss": 0.6461,
2775
+ "step": 386
2776
+ },
2777
+ {
2778
+ "epoch": 0.07189967487227125,
2779
+ "grad_norm": 0.6352119445800781,
2780
+ "learning_rate": 2.7390523158633554e-07,
2781
+ "loss": 0.585,
2782
+ "step": 387
2783
+ },
2784
+ {
2785
+ "epoch": 0.07208546214584301,
2786
+ "grad_norm": 0.6841195225715637,
2787
+ "learning_rate": 2.334182641175686e-07,
2788
+ "loss": 0.6587,
2789
+ "step": 388
2790
+ },
2791
+ {
2792
+ "epoch": 0.07227124941941478,
2793
+ "grad_norm": 0.7172592282295227,
2794
+ "learning_rate": 1.9616057881935436e-07,
2795
+ "loss": 0.6138,
2796
+ "step": 389
2797
+ },
2798
+ {
2799
+ "epoch": 0.07245703669298653,
2800
+ "grad_norm": 0.7642425298690796,
2801
+ "learning_rate": 1.6213459328950352e-07,
2802
+ "loss": 0.7243,
2803
+ "step": 390
2804
+ },
2805
+ {
2806
+ "epoch": 0.07264282396655829,
2807
+ "grad_norm": 0.752518355846405,
2808
+ "learning_rate": 1.3134251542544774e-07,
2809
+ "loss": 0.7156,
2810
+ "step": 391
2811
+ },
2812
+ {
2813
+ "epoch": 0.07282861124013006,
2814
+ "grad_norm": 0.7578738331794739,
2815
+ "learning_rate": 1.0378634328099269e-07,
2816
+ "loss": 0.7513,
2817
+ "step": 392
2818
+ },
2819
+ {
2820
+ "epoch": 0.07301439851370181,
2821
+ "grad_norm": 0.7395659685134888,
2822
+ "learning_rate": 7.946786493666647e-08,
2823
+ "loss": 0.7112,
2824
+ "step": 393
2825
+ },
2826
+ {
2827
+ "epoch": 0.07320018578727357,
2828
+ "grad_norm": 0.7067527174949646,
2829
+ "learning_rate": 5.838865838366792e-08,
2830
+ "loss": 0.7645,
2831
+ "step": 394
2832
+ },
2833
+ {
2834
+ "epoch": 0.07338597306084534,
2835
+ "grad_norm": 0.7345956563949585,
2836
+ "learning_rate": 4.055009142152067e-08,
2837
+ "loss": 0.8043,
2838
+ "step": 395
2839
+ },
2840
+ {
2841
+ "epoch": 0.07357176033441709,
2842
+ "grad_norm": 0.7250311374664307,
2843
+ "learning_rate": 2.595332156925534e-08,
2844
+ "loss": 0.7098,
2845
+ "step": 396
2846
+ },
2847
+ {
2848
+ "epoch": 0.07375754760798885,
2849
+ "grad_norm": 0.7960325479507446,
2850
+ "learning_rate": 1.4599295990352924e-08,
2851
+ "loss": 0.6743,
2852
+ "step": 397
2853
+ },
2854
+ {
2855
+ "epoch": 0.07394333488156062,
2856
+ "grad_norm": 0.6739823222160339,
2857
+ "learning_rate": 6.488751431266149e-09,
2858
+ "loss": 0.6511,
2859
+ "step": 398
2860
+ },
2861
+ {
2862
+ "epoch": 0.07412912215513237,
2863
+ "grad_norm": 0.8577350974082947,
2864
+ "learning_rate": 1.622214173602199e-09,
2865
+ "loss": 0.7901,
2866
+ "step": 399
2867
+ },
2868
+ {
2869
+ "epoch": 0.07431490942870414,
2870
+ "grad_norm": 0.751978874206543,
2871
+ "learning_rate": 0.0,
2872
+ "loss": 0.6483,
2873
+ "step": 400
2874
+ },
2875
+ {
2876
+ "epoch": 0.07431490942870414,
2877
+ "eval_loss": 0.6609265804290771,
2878
+ "eval_runtime": 211.7075,
2879
+ "eval_samples_per_second": 42.823,
2880
+ "eval_steps_per_second": 10.708,
2881
+ "step": 400
2882
  }
2883
  ],
2884
  "logging_steps": 1,
 
2902
  "should_evaluate": false,
2903
  "should_log": false,
2904
  "should_save": true,
2905
+ "should_training_stop": true
2906
  },
2907
  "attributes": {}
2908
  }
2909
  },
2910
+ "total_flos": 9.563453099134157e+16,
2911
  "train_batch_size": 8,
2912
  "trial_name": null,
2913
  "trial_params": null