Kudod commited on
Commit
d28bf9a
·
verified ·
1 Parent(s): 5e15a85

Training in progress, step 40000, checkpoint

Browse files
last-checkpoint/model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c77af21e597e76684f95ce2433c557649a2b2d1153daf583d6791af200d0ac3a
3
  size 641630264
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c55549ffb5230326e84fdfa6241f0ddb469bb20dd272bd9b2106b1eca6646fde
3
  size 641630264
last-checkpoint/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b8b05322893de9b8a2e8cfba7ec7dae5f3948555097181441494ebf144a22644
3
  size 1283324282
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c0e1da9a673e80e984ea3ad3da1f22102f406d5f65e29af84ba25840dfad38ab
3
  size 1283324282
last-checkpoint/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1e8920ec89da786a5fc2fb4b9f1869b6bd25c311f6d06cbb6e1066128e3d88f7
3
  size 14244
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:30062d054cd8f10917e3362fb81968d198e989a8d8f5cf9834b4735f11025dbb
3
  size 14244
last-checkpoint/scaler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ade4cf88cb30f2d9d39e4476504fc3c8f6aaad1f18169e4d13a5a46ada49f04b
3
  size 988
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:48ec3b25a48ffdccce52dc6d32ace0b24a39b364bc280dcb7caf619a4463915f
3
  size 988
last-checkpoint/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d2fb97a8c11271b16693ce01c66b8779cf869bbc6de203b8f3da783171afdf29
3
  size 1064
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dad8d7bb7d9da51dc65baece0abc070e82a5f833c2b15381f699042e4af78f88
3
  size 1064
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": 0.7449344457687723,
6
  "eval_steps": 5000,
7
- "global_step": 30000,
8
  "is_hyper_param_search": false,
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
@@ -476,6 +476,162 @@
476
  "eval_samples_per_second": 308.364,
477
  "eval_steps_per_second": 9.636,
478
  "step": 30000
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
479
  }
480
  ],
481
  "logging_steps": 500,
@@ -495,7 +651,7 @@
495
  "attributes": {}
496
  }
497
  },
498
- "total_flos": 1.260592966550446e+17,
499
  "train_batch_size": 32,
500
  "trial_name": null,
501
  "trial_params": null
 
2
  "best_global_step": null,
3
  "best_metric": null,
4
  "best_model_checkpoint": null,
5
+ "epoch": 0.9932459276916965,
6
  "eval_steps": 5000,
7
+ "global_step": 40000,
8
  "is_hyper_param_search": false,
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
 
476
  "eval_samples_per_second": 308.364,
477
  "eval_steps_per_second": 9.636,
478
  "step": 30000
479
+ },
480
+ {
481
+ "epoch": 0.7573500198649186,
482
+ "grad_norm": 3.0172479152679443,
483
+ "learning_rate": 0.0004264099620682771,
484
+ "loss": 2.4733,
485
+ "step": 30500
486
+ },
487
+ {
488
+ "epoch": 0.7697655939610648,
489
+ "grad_norm": 2.6325442790985107,
490
+ "learning_rate": 0.000425162208025554,
491
+ "loss": 2.4721,
492
+ "step": 31000
493
+ },
494
+ {
495
+ "epoch": 0.7821811680572109,
496
+ "grad_norm": 2.826345682144165,
497
+ "learning_rate": 0.0004239144539828309,
498
+ "loss": 2.4692,
499
+ "step": 31500
500
+ },
501
+ {
502
+ "epoch": 0.7945967421533572,
503
+ "grad_norm": 2.456289291381836,
504
+ "learning_rate": 0.00042266919544819325,
505
+ "loss": 2.4385,
506
+ "step": 32000
507
+ },
508
+ {
509
+ "epoch": 0.8070123162495034,
510
+ "grad_norm": 2.4803292751312256,
511
+ "learning_rate": 0.0004214214414054702,
512
+ "loss": 2.439,
513
+ "step": 32500
514
+ },
515
+ {
516
+ "epoch": 0.8194278903456496,
517
+ "grad_norm": 2.6469247341156006,
518
+ "learning_rate": 0.00042017618287083254,
519
+ "loss": 2.4729,
520
+ "step": 33000
521
+ },
522
+ {
523
+ "epoch": 0.8318434644417958,
524
+ "grad_norm": 2.7024786472320557,
525
+ "learning_rate": 0.0004189284288281094,
526
+ "loss": 2.4244,
527
+ "step": 33500
528
+ },
529
+ {
530
+ "epoch": 0.844259038537942,
531
+ "grad_norm": 2.847285270690918,
532
+ "learning_rate": 0.0004176806747853863,
533
+ "loss": 2.4636,
534
+ "step": 34000
535
+ },
536
+ {
537
+ "epoch": 0.8566746126340882,
538
+ "grad_norm": 2.453200340270996,
539
+ "learning_rate": 0.0004164329207426632,
540
+ "loss": 2.4524,
541
+ "step": 34500
542
+ },
543
+ {
544
+ "epoch": 0.8690901867302344,
545
+ "grad_norm": 2.49642276763916,
546
+ "learning_rate": 0.0004151876622080256,
547
+ "loss": 2.4457,
548
+ "step": 35000
549
+ },
550
+ {
551
+ "epoch": 0.8690901867302344,
552
+ "eval_loss": 1.4776599407196045,
553
+ "eval_runtime": 4154.52,
554
+ "eval_samples_per_second": 310.19,
555
+ "eval_steps_per_second": 9.694,
556
+ "step": 35000
557
+ },
558
+ {
559
+ "epoch": 0.8815057608263807,
560
+ "grad_norm": 2.576984405517578,
561
+ "learning_rate": 0.00041393990816530245,
562
+ "loss": 2.4149,
563
+ "step": 35500
564
+ },
565
+ {
566
+ "epoch": 0.8939213349225268,
567
+ "grad_norm": 3.0729165077209473,
568
+ "learning_rate": 0.0004126921541225794,
569
+ "loss": 2.4067,
570
+ "step": 36000
571
+ },
572
+ {
573
+ "epoch": 0.906336909018673,
574
+ "grad_norm": 2.7619829177856445,
575
+ "learning_rate": 0.0004114444000798563,
576
+ "loss": 2.4121,
577
+ "step": 36500
578
+ },
579
+ {
580
+ "epoch": 0.9187524831148193,
581
+ "grad_norm": 3.5316452980041504,
582
+ "learning_rate": 0.0004101991415452186,
583
+ "loss": 2.3781,
584
+ "step": 37000
585
+ },
586
+ {
587
+ "epoch": 0.9311680572109654,
588
+ "grad_norm": 2.7174599170684814,
589
+ "learning_rate": 0.0004089538830105809,
590
+ "loss": 2.4013,
591
+ "step": 37500
592
+ },
593
+ {
594
+ "epoch": 0.9435836313071116,
595
+ "grad_norm": 13.372625350952148,
596
+ "learning_rate": 0.00040771611100019967,
597
+ "loss": 2.5449,
598
+ "step": 38000
599
+ },
600
+ {
601
+ "epoch": 0.9559992054032579,
602
+ "grad_norm": 11.173745155334473,
603
+ "learning_rate": 0.0004064883210221601,
604
+ "loss": 6.7867,
605
+ "step": 38500
606
+ },
607
+ {
608
+ "epoch": 0.968414779499404,
609
+ "grad_norm": 0.9608703255653381,
610
+ "learning_rate": 0.000405240566979437,
611
+ "loss": 7.7097,
612
+ "step": 39000
613
+ },
614
+ {
615
+ "epoch": 0.9808303535955503,
616
+ "grad_norm": 8286.201171875,
617
+ "learning_rate": 0.0004039928129367139,
618
+ "loss": 7.7291,
619
+ "step": 39500
620
+ },
621
+ {
622
+ "epoch": 0.9932459276916965,
623
+ "grad_norm": 2.1965973377227783,
624
+ "learning_rate": 0.00040274505889399085,
625
+ "loss": 7.7205,
626
+ "step": 40000
627
+ },
628
+ {
629
+ "epoch": 0.9932459276916965,
630
+ "eval_loss": 7.322892665863037,
631
+ "eval_runtime": 4170.5156,
632
+ "eval_samples_per_second": 309.0,
633
+ "eval_steps_per_second": 9.656,
634
+ "step": 40000
635
  }
636
  ],
637
  "logging_steps": 500,
 
651
  "attributes": {}
652
  }
653
  },
654
+ "total_flos": 1.6807169819837645e+17,
655
  "train_batch_size": 32,
656
  "trial_name": null,
657
  "trial_params": null