clarxus commited on
Commit
5a26958
·
verified ·
1 Parent(s): eea021a

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 sha256:4ce5cf324cf675789d6c2155eb8968d35d88304df2f857ee161a9fa75a165e27
3
  size 671149168
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9b72beda3310bf6d2a2899d9cd71677f673f946f686bed02c0921c538bb726a2
3
  size 671149168
last-checkpoint/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7bee21a6fdc3b5811f5558e872c1167f33ce9cca367062b590f15f246a4e77d3
3
  size 341314644
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eea5a653f18e4551950efbb571f4edd6bf71506d2ee0667bd68a663d15ba1527
3
  size 341314644
last-checkpoint/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f1066b8440831653bd974daf7dd9be45f03186ae671c2e6dfb79e2b2961d4589
3
  size 14244
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b5a1cfb017bdf79c8378c7120f121b550d7ab035980da59631c319adea8c4470
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": 2.0564608573913574,
3
- "best_model_checkpoint": "miner_id_24/checkpoint-350",
4
- "epoch": 0.4346476249611922,
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": 11.123,
2522
  "eval_steps_per_second": 2.781,
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": 6.124671478467133e+17,
2553
  "train_batch_size": 8,
2554
  "trial_name": null,
2555
  "trial_params": null
 
1
  {
2
+ "best_metric": 2.048121690750122,
3
+ "best_model_checkpoint": "miner_id_24/checkpoint-400",
4
+ "epoch": 0.49674014281279105,
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": 11.123,
2522
  "eval_steps_per_second": 2.781,
2523
  "step": 350
2524
+ },
2525
+ {
2526
+ "epoch": 0.43588947531822414,
2527
+ "grad_norm": 15.027310371398926,
2528
+ "learning_rate": 3.844650207332562e-06,
2529
+ "loss": 8.233,
2530
+ "step": 351
2531
+ },
2532
+ {
2533
+ "epoch": 0.43713132567525614,
2534
+ "grad_norm": 19.14738655090332,
2535
+ "learning_rate": 3.691267552111183e-06,
2536
+ "loss": 9.2654,
2537
+ "step": 352
2538
+ },
2539
+ {
2540
+ "epoch": 0.4383731760322881,
2541
+ "grad_norm": 15.403022766113281,
2542
+ "learning_rate": 3.54088980417534e-06,
2543
+ "loss": 10.5999,
2544
+ "step": 353
2545
+ },
2546
+ {
2547
+ "epoch": 0.4396150263893201,
2548
+ "grad_norm": 18.61003875732422,
2549
+ "learning_rate": 3.393526721321616e-06,
2550
+ "loss": 9.8252,
2551
+ "step": 354
2552
+ },
2553
+ {
2554
+ "epoch": 0.44085687674635204,
2555
+ "grad_norm": 13.475218772888184,
2556
+ "learning_rate": 3.249187865729264e-06,
2557
+ "loss": 9.2884,
2558
+ "step": 355
2559
+ },
2560
+ {
2561
+ "epoch": 0.44209872710338405,
2562
+ "grad_norm": 19.1926326751709,
2563
+ "learning_rate": 3.1078826033397843e-06,
2564
+ "loss": 9.26,
2565
+ "step": 356
2566
+ },
2567
+ {
2568
+ "epoch": 0.443340577460416,
2569
+ "grad_norm": 20.699216842651367,
2570
+ "learning_rate": 2.9696201032491434e-06,
2571
+ "loss": 10.9862,
2572
+ "step": 357
2573
+ },
2574
+ {
2575
+ "epoch": 0.444582427817448,
2576
+ "grad_norm": 19.927446365356445,
2577
+ "learning_rate": 2.8344093371128424e-06,
2578
+ "loss": 9.4867,
2579
+ "step": 358
2580
+ },
2581
+ {
2582
+ "epoch": 0.44582427817447995,
2583
+ "grad_norm": 21.07493019104004,
2584
+ "learning_rate": 2.70225907856374e-06,
2585
+ "loss": 9.6272,
2586
+ "step": 359
2587
+ },
2588
+ {
2589
+ "epoch": 0.44706612853151195,
2590
+ "grad_norm": 16.262590408325195,
2591
+ "learning_rate": 2.573177902642726e-06,
2592
+ "loss": 10.6436,
2593
+ "step": 360
2594
+ },
2595
+ {
2596
+ "epoch": 0.44830797888854396,
2597
+ "grad_norm": 21.369077682495117,
2598
+ "learning_rate": 2.4471741852423237e-06,
2599
+ "loss": 10.3394,
2600
+ "step": 361
2601
+ },
2602
+ {
2603
+ "epoch": 0.4495498292455759,
2604
+ "grad_norm": 16.705074310302734,
2605
+ "learning_rate": 2.324256102563188e-06,
2606
+ "loss": 9.6329,
2607
+ "step": 362
2608
+ },
2609
+ {
2610
+ "epoch": 0.4507916796026079,
2611
+ "grad_norm": 15.450797080993652,
2612
+ "learning_rate": 2.204431630583548e-06,
2613
+ "loss": 10.0546,
2614
+ "step": 363
2615
+ },
2616
+ {
2617
+ "epoch": 0.45203352995963986,
2618
+ "grad_norm": 16.599008560180664,
2619
+ "learning_rate": 2.087708544541689e-06,
2620
+ "loss": 9.6695,
2621
+ "step": 364
2622
+ },
2623
+ {
2624
+ "epoch": 0.45327538031667186,
2625
+ "grad_norm": 16.34769630432129,
2626
+ "learning_rate": 1.974094418431388e-06,
2627
+ "loss": 10.1314,
2628
+ "step": 365
2629
+ },
2630
+ {
2631
+ "epoch": 0.4545172306737038,
2632
+ "grad_norm": 16.282516479492188,
2633
+ "learning_rate": 1.8635966245104664e-06,
2634
+ "loss": 9.1614,
2635
+ "step": 366
2636
+ },
2637
+ {
2638
+ "epoch": 0.4557590810307358,
2639
+ "grad_norm": 18.261295318603516,
2640
+ "learning_rate": 1.7562223328224325e-06,
2641
+ "loss": 9.074,
2642
+ "step": 367
2643
+ },
2644
+ {
2645
+ "epoch": 0.45700093138776776,
2646
+ "grad_norm": 19.71063995361328,
2647
+ "learning_rate": 1.6519785107311891e-06,
2648
+ "loss": 8.8432,
2649
+ "step": 368
2650
+ },
2651
+ {
2652
+ "epoch": 0.45824278174479977,
2653
+ "grad_norm": 17.528982162475586,
2654
+ "learning_rate": 1.5508719224689717e-06,
2655
+ "loss": 9.3226,
2656
+ "step": 369
2657
+ },
2658
+ {
2659
+ "epoch": 0.4594846321018317,
2660
+ "grad_norm": 16.943256378173828,
2661
+ "learning_rate": 1.4529091286973995e-06,
2662
+ "loss": 10.2064,
2663
+ "step": 370
2664
+ },
2665
+ {
2666
+ "epoch": 0.4607264824588637,
2667
+ "grad_norm": 20.56031608581543,
2668
+ "learning_rate": 1.358096486081778e-06,
2669
+ "loss": 8.7829,
2670
+ "step": 371
2671
+ },
2672
+ {
2673
+ "epoch": 0.46196833281589567,
2674
+ "grad_norm": 20.230304718017578,
2675
+ "learning_rate": 1.2664401468786114e-06,
2676
+ "loss": 8.5434,
2677
+ "step": 372
2678
+ },
2679
+ {
2680
+ "epoch": 0.46321018317292767,
2681
+ "grad_norm": 17.898807525634766,
2682
+ "learning_rate": 1.1779460585363944e-06,
2683
+ "loss": 8.5721,
2684
+ "step": 373
2685
+ },
2686
+ {
2687
+ "epoch": 0.4644520335299596,
2688
+ "grad_norm": 15.209033012390137,
2689
+ "learning_rate": 1.0926199633097157e-06,
2690
+ "loss": 8.1153,
2691
+ "step": 374
2692
+ },
2693
+ {
2694
+ "epoch": 0.4656938838869916,
2695
+ "grad_norm": 17.540138244628906,
2696
+ "learning_rate": 1.0104673978866164e-06,
2697
+ "loss": 8.8329,
2698
+ "step": 375
2699
+ },
2700
+ {
2701
+ "epoch": 0.46693573424402357,
2702
+ "grad_norm": 15.526618957519531,
2703
+ "learning_rate": 9.314936930293283e-07,
2704
+ "loss": 7.4237,
2705
+ "step": 376
2706
+ },
2707
+ {
2708
+ "epoch": 0.4681775846010556,
2709
+ "grad_norm": 17.168128967285156,
2710
+ "learning_rate": 8.557039732283944e-07,
2711
+ "loss": 7.8179,
2712
+ "step": 377
2713
+ },
2714
+ {
2715
+ "epoch": 0.4694194349580876,
2716
+ "grad_norm": 17.137134552001953,
2717
+ "learning_rate": 7.83103156370113e-07,
2718
+ "loss": 7.7716,
2719
+ "step": 378
2720
+ },
2721
+ {
2722
+ "epoch": 0.4706612853151195,
2723
+ "grad_norm": 17.559314727783203,
2724
+ "learning_rate": 7.136959534174592e-07,
2725
+ "loss": 7.84,
2726
+ "step": 379
2727
+ },
2728
+ {
2729
+ "epoch": 0.47190313567215153,
2730
+ "grad_norm": 19.409400939941406,
2731
+ "learning_rate": 6.474868681043578e-07,
2732
+ "loss": 8.8171,
2733
+ "step": 380
2734
+ },
2735
+ {
2736
+ "epoch": 0.4731449860291835,
2737
+ "grad_norm": 17.776226043701172,
2738
+ "learning_rate": 5.844801966434832e-07,
2739
+ "loss": 6.3879,
2740
+ "step": 381
2741
+ },
2742
+ {
2743
+ "epoch": 0.4743868363862155,
2744
+ "grad_norm": 20.530086517333984,
2745
+ "learning_rate": 5.246800274474439e-07,
2746
+ "loss": 8.0121,
2747
+ "step": 382
2748
+ },
2749
+ {
2750
+ "epoch": 0.47562868674324743,
2751
+ "grad_norm": 22.164968490600586,
2752
+ "learning_rate": 4.680902408635335e-07,
2753
+ "loss": 8.6691,
2754
+ "step": 383
2755
+ },
2756
+ {
2757
+ "epoch": 0.47687053710027943,
2758
+ "grad_norm": 18.76708984375,
2759
+ "learning_rate": 4.1471450892189846e-07,
2760
+ "loss": 9.7888,
2761
+ "step": 384
2762
+ },
2763
+ {
2764
+ "epoch": 0.4781123874573114,
2765
+ "grad_norm": 14.858979225158691,
2766
+ "learning_rate": 3.6455629509730136e-07,
2767
+ "loss": 6.9336,
2768
+ "step": 385
2769
+ },
2770
+ {
2771
+ "epoch": 0.4793542378143434,
2772
+ "grad_norm": 18.082876205444336,
2773
+ "learning_rate": 3.1761885408435054e-07,
2774
+ "loss": 8.7338,
2775
+ "step": 386
2776
+ },
2777
+ {
2778
+ "epoch": 0.48059608817137534,
2779
+ "grad_norm": 17.755693435668945,
2780
+ "learning_rate": 2.7390523158633554e-07,
2781
+ "loss": 8.0284,
2782
+ "step": 387
2783
+ },
2784
+ {
2785
+ "epoch": 0.48183793852840734,
2786
+ "grad_norm": 17.65026092529297,
2787
+ "learning_rate": 2.334182641175686e-07,
2788
+ "loss": 6.9463,
2789
+ "step": 388
2790
+ },
2791
+ {
2792
+ "epoch": 0.4830797888854393,
2793
+ "grad_norm": 20.45888900756836,
2794
+ "learning_rate": 1.9616057881935436e-07,
2795
+ "loss": 9.4778,
2796
+ "step": 389
2797
+ },
2798
+ {
2799
+ "epoch": 0.4843216392424713,
2800
+ "grad_norm": 21.550186157226562,
2801
+ "learning_rate": 1.6213459328950352e-07,
2802
+ "loss": 7.7903,
2803
+ "step": 390
2804
+ },
2805
+ {
2806
+ "epoch": 0.48556348959950324,
2807
+ "grad_norm": 14.524604797363281,
2808
+ "learning_rate": 1.3134251542544774e-07,
2809
+ "loss": 7.0378,
2810
+ "step": 391
2811
+ },
2812
+ {
2813
+ "epoch": 0.48680533995653524,
2814
+ "grad_norm": 12.841784477233887,
2815
+ "learning_rate": 1.0378634328099269e-07,
2816
+ "loss": 5.0816,
2817
+ "step": 392
2818
+ },
2819
+ {
2820
+ "epoch": 0.4880471903135672,
2821
+ "grad_norm": 16.81376075744629,
2822
+ "learning_rate": 7.946786493666647e-08,
2823
+ "loss": 6.5177,
2824
+ "step": 393
2825
+ },
2826
+ {
2827
+ "epoch": 0.4892890406705992,
2828
+ "grad_norm": 17.302547454833984,
2829
+ "learning_rate": 5.838865838366792e-08,
2830
+ "loss": 8.2668,
2831
+ "step": 394
2832
+ },
2833
+ {
2834
+ "epoch": 0.49053089102763114,
2835
+ "grad_norm": 17.527498245239258,
2836
+ "learning_rate": 4.055009142152067e-08,
2837
+ "loss": 6.6197,
2838
+ "step": 395
2839
+ },
2840
+ {
2841
+ "epoch": 0.49177274138466315,
2842
+ "grad_norm": 15.597641944885254,
2843
+ "learning_rate": 2.595332156925534e-08,
2844
+ "loss": 5.887,
2845
+ "step": 396
2846
+ },
2847
+ {
2848
+ "epoch": 0.49301459174169515,
2849
+ "grad_norm": 17.199445724487305,
2850
+ "learning_rate": 1.4599295990352924e-08,
2851
+ "loss": 6.9099,
2852
+ "step": 397
2853
+ },
2854
+ {
2855
+ "epoch": 0.4942564420987271,
2856
+ "grad_norm": 16.837100982666016,
2857
+ "learning_rate": 6.488751431266149e-09,
2858
+ "loss": 6.7667,
2859
+ "step": 398
2860
+ },
2861
+ {
2862
+ "epoch": 0.4954982924557591,
2863
+ "grad_norm": 18.93360710144043,
2864
+ "learning_rate": 1.622214173602199e-09,
2865
+ "loss": 5.3912,
2866
+ "step": 399
2867
+ },
2868
+ {
2869
+ "epoch": 0.49674014281279105,
2870
+ "grad_norm": 19.71845245361328,
2871
+ "learning_rate": 0.0,
2872
+ "loss": 6.4788,
2873
+ "step": 400
2874
+ },
2875
+ {
2876
+ "epoch": 0.49674014281279105,
2877
+ "eval_loss": 2.048121690750122,
2878
+ "eval_runtime": 121.8292,
2879
+ "eval_samples_per_second": 11.13,
2880
+ "eval_steps_per_second": 2.783,
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": 6.997580263949599e+17,
2911
  "train_batch_size": 8,
2912
  "trial_name": null,
2913
  "trial_params": null