lesso05 commited on
Commit
a930b1d
·
verified ·
1 Parent(s): 08bc47e

Training in progress, step 100, checkpoint

Browse files
last-checkpoint/adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:923464858e94e32324dc205cdd983a463c592d1932348ee4819376997edd9838
3
  size 50624
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dcf59a2187f0f4a7903cb840aa70e374e4c34e9cb450dc6911e498fe107fbc24
3
  size 50624
last-checkpoint/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a67d58071d4c8f37d750a85524661beff61518a02e40d4da878f22f583495bfc
3
  size 118090
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e8e222a906b7e4ae6a14ef5897237be0eca3a1425fb95002eede060f84eceb3e
3
  size 118090
last-checkpoint/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9418a68e5819dc4b84034984f04774a6cc7da23a601f4d1f77e1c7bf288f18ec
3
  size 14244
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7b90bb01bd18cd5ed9c3ad0e7c720f1f4ed6be5aab64ae39643b6cbe6410d3d3
3
  size 14244
last-checkpoint/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f23e2214bcafb439ebc7528dcc283ef6218d509a276c0baff0743503ecbe3d92
3
  size 1064
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:49d60a69e2379be2053e816cbaff31e6c931b5922dd86c71c9eaf473299cbf62
3
  size 1064
last-checkpoint/trainer_state.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
- "epoch": 0.00453953938807009,
5
  "eval_steps": 9,
6
- "global_step": 75,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
@@ -604,6 +604,205 @@
604
  "learning_rate": 1.7860619515673033e-05,
605
  "loss": 11.7306,
606
  "step": 75
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
607
  }
608
  ],
609
  "logging_steps": 1,
@@ -618,12 +817,12 @@
618
  "should_evaluate": false,
619
  "should_log": false,
620
  "should_save": true,
621
- "should_training_stop": false
622
  },
623
  "attributes": {}
624
  }
625
  },
626
- "total_flos": 15277503283200.0,
627
  "train_batch_size": 8,
628
  "trial_name": null,
629
  "trial_params": null
 
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
+ "epoch": 0.006052719184093454,
5
  "eval_steps": 9,
6
+ "global_step": 100,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
 
604
  "learning_rate": 1.7860619515673033e-05,
605
  "loss": 11.7306,
606
  "step": 75
607
+ },
608
+ {
609
+ "epoch": 0.004600066579911025,
610
+ "grad_norm": 0.2214021384716034,
611
+ "learning_rate": 1.6543469682057106e-05,
612
+ "loss": 11.7238,
613
+ "step": 76
614
+ },
615
+ {
616
+ "epoch": 0.004660593771751959,
617
+ "grad_norm": 0.2633446753025055,
618
+ "learning_rate": 1.526708147705013e-05,
619
+ "loss": 11.7257,
620
+ "step": 77
621
+ },
622
+ {
623
+ "epoch": 0.004721120963592894,
624
+ "grad_norm": 0.1847645342350006,
625
+ "learning_rate": 1.4033009983067452e-05,
626
+ "loss": 11.7342,
627
+ "step": 78
628
+ },
629
+ {
630
+ "epoch": 0.0047816481554338285,
631
+ "grad_norm": 0.21264208853244781,
632
+ "learning_rate": 1.2842758726130283e-05,
633
+ "loss": 11.7363,
634
+ "step": 79
635
+ },
636
+ {
637
+ "epoch": 0.004842175347274763,
638
+ "grad_norm": 0.22379577159881592,
639
+ "learning_rate": 1.1697777844051105e-05,
640
+ "loss": 11.7293,
641
+ "step": 80
642
+ },
643
+ {
644
+ "epoch": 0.0049027025391156975,
645
+ "grad_norm": 0.22145503759384155,
646
+ "learning_rate": 1.0599462319663905e-05,
647
+ "loss": 11.7215,
648
+ "step": 81
649
+ },
650
+ {
651
+ "epoch": 0.0049027025391156975,
652
+ "eval_loss": 11.72611141204834,
653
+ "eval_runtime": 336.6792,
654
+ "eval_samples_per_second": 41.324,
655
+ "eval_steps_per_second": 5.168,
656
+ "step": 81
657
+ },
658
+ {
659
+ "epoch": 0.0049632297309566325,
660
+ "grad_norm": 0.20008344948291779,
661
+ "learning_rate": 9.549150281252633e-06,
662
+ "loss": 11.7236,
663
+ "step": 82
664
+ },
665
+ {
666
+ "epoch": 0.0050237569227975665,
667
+ "grad_norm": 0.2263820618391037,
668
+ "learning_rate": 8.548121372247918e-06,
669
+ "loss": 11.7195,
670
+ "step": 83
671
+ },
672
+ {
673
+ "epoch": 0.0050842841146385015,
674
+ "grad_norm": 0.19779574871063232,
675
+ "learning_rate": 7.597595192178702e-06,
676
+ "loss": 11.7224,
677
+ "step": 84
678
+ },
679
+ {
680
+ "epoch": 0.005144811306479436,
681
+ "grad_norm": 0.2268918752670288,
682
+ "learning_rate": 6.698729810778065e-06,
683
+ "loss": 11.7237,
684
+ "step": 85
685
+ },
686
+ {
687
+ "epoch": 0.0052053384983203705,
688
+ "grad_norm": 0.22974348068237305,
689
+ "learning_rate": 5.852620357053651e-06,
690
+ "loss": 11.7324,
691
+ "step": 86
692
+ },
693
+ {
694
+ "epoch": 0.005265865690161305,
695
+ "grad_norm": 0.23954811692237854,
696
+ "learning_rate": 5.060297685041659e-06,
697
+ "loss": 11.7138,
698
+ "step": 87
699
+ },
700
+ {
701
+ "epoch": 0.00532639288200224,
702
+ "grad_norm": 0.18085631728172302,
703
+ "learning_rate": 4.322727117869951e-06,
704
+ "loss": 11.7274,
705
+ "step": 88
706
+ },
707
+ {
708
+ "epoch": 0.005386920073843174,
709
+ "grad_norm": 0.2537747621536255,
710
+ "learning_rate": 3.6408072716606346e-06,
711
+ "loss": 11.7358,
712
+ "step": 89
713
+ },
714
+ {
715
+ "epoch": 0.005447447265684109,
716
+ "grad_norm": 0.21802093088626862,
717
+ "learning_rate": 3.0153689607045845e-06,
718
+ "loss": 11.7262,
719
+ "step": 90
720
+ },
721
+ {
722
+ "epoch": 0.005447447265684109,
723
+ "eval_loss": 11.725457191467285,
724
+ "eval_runtime": 336.6581,
725
+ "eval_samples_per_second": 41.327,
726
+ "eval_steps_per_second": 5.168,
727
+ "step": 90
728
+ },
729
+ {
730
+ "epoch": 0.005507974457525043,
731
+ "grad_norm": 0.2214399129152298,
732
+ "learning_rate": 2.4471741852423237e-06,
733
+ "loss": 11.7305,
734
+ "step": 91
735
+ },
736
+ {
737
+ "epoch": 0.005568501649365978,
738
+ "grad_norm": 0.21415752172470093,
739
+ "learning_rate": 1.9369152030840556e-06,
740
+ "loss": 11.7227,
741
+ "step": 92
742
+ },
743
+ {
744
+ "epoch": 0.005629028841206913,
745
+ "grad_norm": 0.2217220962047577,
746
+ "learning_rate": 1.4852136862001764e-06,
747
+ "loss": 11.7296,
748
+ "step": 93
749
+ },
750
+ {
751
+ "epoch": 0.005689556033047847,
752
+ "grad_norm": 0.23303939402103424,
753
+ "learning_rate": 1.0926199633097157e-06,
754
+ "loss": 11.7372,
755
+ "step": 94
756
+ },
757
+ {
758
+ "epoch": 0.005750083224888782,
759
+ "grad_norm": 0.1984613686800003,
760
+ "learning_rate": 7.596123493895991e-07,
761
+ "loss": 11.7277,
762
+ "step": 95
763
+ },
764
+ {
765
+ "epoch": 0.005810610416729716,
766
+ "grad_norm": 0.21822820603847504,
767
+ "learning_rate": 4.865965629214819e-07,
768
+ "loss": 11.7141,
769
+ "step": 96
770
+ },
771
+ {
772
+ "epoch": 0.005871137608570651,
773
+ "grad_norm": 0.23118823766708374,
774
+ "learning_rate": 2.7390523158633554e-07,
775
+ "loss": 11.7253,
776
+ "step": 97
777
+ },
778
+ {
779
+ "epoch": 0.005931664800411585,
780
+ "grad_norm": 0.24328604340553284,
781
+ "learning_rate": 1.2179748700879012e-07,
782
+ "loss": 11.7345,
783
+ "step": 98
784
+ },
785
+ {
786
+ "epoch": 0.00599219199225252,
787
+ "grad_norm": 0.20103949308395386,
788
+ "learning_rate": 3.04586490452119e-08,
789
+ "loss": 11.7327,
790
+ "step": 99
791
+ },
792
+ {
793
+ "epoch": 0.00599219199225252,
794
+ "eval_loss": 11.725342750549316,
795
+ "eval_runtime": 336.6682,
796
+ "eval_samples_per_second": 41.326,
797
+ "eval_steps_per_second": 5.168,
798
+ "step": 99
799
+ },
800
+ {
801
+ "epoch": 0.006052719184093454,
802
+ "grad_norm": 0.22309459745883942,
803
+ "learning_rate": 0.0,
804
+ "loss": 11.7164,
805
+ "step": 100
806
  }
807
  ],
808
  "logging_steps": 1,
 
817
  "should_evaluate": false,
818
  "should_log": false,
819
  "should_save": true,
820
+ "should_training_stop": true
821
  },
822
  "attributes": {}
823
  }
824
  },
825
+ "total_flos": 20370004377600.0,
826
  "train_batch_size": 8,
827
  "trial_name": null,
828
  "trial_params": null