0xk1h0 commited on
Commit
5168362
·
1 Parent(s): 9a7d293

Upload folder using huggingface_hub

Browse files
Files changed (7) hide show
  1. .gitattributes +1 -0
  2. adapter_model.bin +1 -1
  3. optimizer.pt +1 -1
  4. params.p +3 -0
  5. rng_state.pth +1 -1
  6. scheduler.pt +1 -1
  7. trainer_state.json +1203 -3
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ params.p filter=lfs diff=lfs merge=lfs -text
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7c04de86df921f190ac22d415a2b19276ac84eb4cc97c980c19334f491c28f86
3
  size 16800302
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2caaa9af363e7b03bbed998a1901906d9e5242b3cef91e2c453a5a13299e0e10
3
  size 16800302
optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5d3019146f7c09bdb7ff661d9541a333148e804a2b40305c067d9f1d531247c9
3
  size 33608634
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6215070a4d08de0490c2105532fb1a57474d94c9d72406cfebe8261612ddc7bc
3
  size 33608634
params.p ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dab4b547d5504ac34755ee0351657977847bf53d970216d504a639555cb882e9
3
+ size 16795346
rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6d3fd56c8fe6117cf30932b8eaa57e329cd1cbb8b56b715d99f0ba652a8f1fd2
3
  size 14244
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1bf7deaefa64d407645520ec5516f9986a8a470d5fbc15d102139a60d5d6ac12
3
  size 14244
scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:58a4539f136f0a60ce25815017a9d9dbffc0f1b9bcdfecf03d6a825ab93b9419
3
  size 1064
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7b204b20cdc92a140e2e21e015bdaa04af008c00e0bde30e59edf0f23817a338
3
  size 1064
trainer_state.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
- "epoch": 0.028762080073630927,
5
  "eval_steps": 500,
6
- "global_step": 500,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
@@ -307,13 +307,1213 @@
307
  "learning_rate": 0.00016,
308
  "loss": 0.9486,
309
  "step": 500
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
310
  }
311
  ],
312
  "logging_steps": 10,
313
  "max_steps": 2500,
314
  "num_train_epochs": 1,
315
  "save_steps": 500,
316
- "total_flos": 3.27221445132288e+17,
317
  "trial_name": null,
318
  "trial_params": null
319
  }
 
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
+ "epoch": 0.14381040036815462,
5
  "eval_steps": 500,
6
+ "global_step": 2500,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
 
307
  "learning_rate": 0.00016,
308
  "loss": 0.9486,
309
  "step": 500
310
+ },
311
+ {
312
+ "epoch": 0.03,
313
+ "learning_rate": 0.00015920000000000002,
314
+ "loss": 0.9454,
315
+ "step": 510
316
+ },
317
+ {
318
+ "epoch": 0.03,
319
+ "learning_rate": 0.00015840000000000003,
320
+ "loss": 1.0293,
321
+ "step": 520
322
+ },
323
+ {
324
+ "epoch": 0.03,
325
+ "learning_rate": 0.0001576,
326
+ "loss": 1.0367,
327
+ "step": 530
328
+ },
329
+ {
330
+ "epoch": 0.03,
331
+ "learning_rate": 0.00015680000000000002,
332
+ "loss": 1.1525,
333
+ "step": 540
334
+ },
335
+ {
336
+ "epoch": 0.03,
337
+ "learning_rate": 0.00015600000000000002,
338
+ "loss": 1.0292,
339
+ "step": 550
340
+ },
341
+ {
342
+ "epoch": 0.03,
343
+ "learning_rate": 0.0001552,
344
+ "loss": 1.0465,
345
+ "step": 560
346
+ },
347
+ {
348
+ "epoch": 0.03,
349
+ "learning_rate": 0.0001544,
350
+ "loss": 0.9291,
351
+ "step": 570
352
+ },
353
+ {
354
+ "epoch": 0.03,
355
+ "learning_rate": 0.00015360000000000002,
356
+ "loss": 1.0446,
357
+ "step": 580
358
+ },
359
+ {
360
+ "epoch": 0.03,
361
+ "learning_rate": 0.0001528,
362
+ "loss": 0.9587,
363
+ "step": 590
364
+ },
365
+ {
366
+ "epoch": 0.03,
367
+ "learning_rate": 0.000152,
368
+ "loss": 0.9981,
369
+ "step": 600
370
+ },
371
+ {
372
+ "epoch": 0.04,
373
+ "learning_rate": 0.00015120000000000002,
374
+ "loss": 1.1322,
375
+ "step": 610
376
+ },
377
+ {
378
+ "epoch": 0.04,
379
+ "learning_rate": 0.0001504,
380
+ "loss": 0.9966,
381
+ "step": 620
382
+ },
383
+ {
384
+ "epoch": 0.04,
385
+ "learning_rate": 0.0001496,
386
+ "loss": 1.076,
387
+ "step": 630
388
+ },
389
+ {
390
+ "epoch": 0.04,
391
+ "learning_rate": 0.0001488,
392
+ "loss": 0.9545,
393
+ "step": 640
394
+ },
395
+ {
396
+ "epoch": 0.04,
397
+ "learning_rate": 0.000148,
398
+ "loss": 0.9752,
399
+ "step": 650
400
+ },
401
+ {
402
+ "epoch": 0.04,
403
+ "learning_rate": 0.0001472,
404
+ "loss": 0.9336,
405
+ "step": 660
406
+ },
407
+ {
408
+ "epoch": 0.04,
409
+ "learning_rate": 0.0001464,
410
+ "loss": 0.9587,
411
+ "step": 670
412
+ },
413
+ {
414
+ "epoch": 0.04,
415
+ "learning_rate": 0.00014560000000000002,
416
+ "loss": 1.0586,
417
+ "step": 680
418
+ },
419
+ {
420
+ "epoch": 0.04,
421
+ "learning_rate": 0.0001448,
422
+ "loss": 1.0869,
423
+ "step": 690
424
+ },
425
+ {
426
+ "epoch": 0.04,
427
+ "learning_rate": 0.000144,
428
+ "loss": 0.9833,
429
+ "step": 700
430
+ },
431
+ {
432
+ "epoch": 0.04,
433
+ "learning_rate": 0.0001432,
434
+ "loss": 1.0594,
435
+ "step": 710
436
+ },
437
+ {
438
+ "epoch": 0.04,
439
+ "learning_rate": 0.0001424,
440
+ "loss": 1.1646,
441
+ "step": 720
442
+ },
443
+ {
444
+ "epoch": 0.04,
445
+ "learning_rate": 0.0001416,
446
+ "loss": 0.954,
447
+ "step": 730
448
+ },
449
+ {
450
+ "epoch": 0.04,
451
+ "learning_rate": 0.0001408,
452
+ "loss": 0.9845,
453
+ "step": 740
454
+ },
455
+ {
456
+ "epoch": 0.04,
457
+ "learning_rate": 0.00014,
458
+ "loss": 1.0662,
459
+ "step": 750
460
+ },
461
+ {
462
+ "epoch": 0.04,
463
+ "learning_rate": 0.0001392,
464
+ "loss": 1.0889,
465
+ "step": 760
466
+ },
467
+ {
468
+ "epoch": 0.04,
469
+ "learning_rate": 0.0001384,
470
+ "loss": 1.0045,
471
+ "step": 770
472
+ },
473
+ {
474
+ "epoch": 0.04,
475
+ "learning_rate": 0.00013759999999999998,
476
+ "loss": 0.9918,
477
+ "step": 780
478
+ },
479
+ {
480
+ "epoch": 0.05,
481
+ "learning_rate": 0.00013680000000000002,
482
+ "loss": 0.9599,
483
+ "step": 790
484
+ },
485
+ {
486
+ "epoch": 0.05,
487
+ "learning_rate": 0.00013600000000000003,
488
+ "loss": 0.9759,
489
+ "step": 800
490
+ },
491
+ {
492
+ "epoch": 0.05,
493
+ "learning_rate": 0.0001352,
494
+ "loss": 0.9278,
495
+ "step": 810
496
+ },
497
+ {
498
+ "epoch": 0.05,
499
+ "learning_rate": 0.00013440000000000001,
500
+ "loss": 1.0274,
501
+ "step": 820
502
+ },
503
+ {
504
+ "epoch": 0.05,
505
+ "learning_rate": 0.00013360000000000002,
506
+ "loss": 1.0576,
507
+ "step": 830
508
+ },
509
+ {
510
+ "epoch": 0.05,
511
+ "learning_rate": 0.0001328,
512
+ "loss": 0.9719,
513
+ "step": 840
514
+ },
515
+ {
516
+ "epoch": 0.05,
517
+ "learning_rate": 0.000132,
518
+ "loss": 0.9621,
519
+ "step": 850
520
+ },
521
+ {
522
+ "epoch": 0.05,
523
+ "learning_rate": 0.00013120000000000002,
524
+ "loss": 0.9488,
525
+ "step": 860
526
+ },
527
+ {
528
+ "epoch": 0.05,
529
+ "learning_rate": 0.0001304,
530
+ "loss": 1.0323,
531
+ "step": 870
532
+ },
533
+ {
534
+ "epoch": 0.05,
535
+ "learning_rate": 0.0001296,
536
+ "loss": 1.0105,
537
+ "step": 880
538
+ },
539
+ {
540
+ "epoch": 0.05,
541
+ "learning_rate": 0.00012880000000000001,
542
+ "loss": 0.9062,
543
+ "step": 890
544
+ },
545
+ {
546
+ "epoch": 0.05,
547
+ "learning_rate": 0.00012800000000000002,
548
+ "loss": 1.009,
549
+ "step": 900
550
+ },
551
+ {
552
+ "epoch": 0.05,
553
+ "learning_rate": 0.0001272,
554
+ "loss": 0.9946,
555
+ "step": 910
556
+ },
557
+ {
558
+ "epoch": 0.05,
559
+ "learning_rate": 0.0001264,
560
+ "loss": 1.0547,
561
+ "step": 920
562
+ },
563
+ {
564
+ "epoch": 0.05,
565
+ "learning_rate": 0.00012560000000000002,
566
+ "loss": 0.9743,
567
+ "step": 930
568
+ },
569
+ {
570
+ "epoch": 0.05,
571
+ "learning_rate": 0.0001248,
572
+ "loss": 1.0,
573
+ "step": 940
574
+ },
575
+ {
576
+ "epoch": 0.05,
577
+ "learning_rate": 0.000124,
578
+ "loss": 0.9044,
579
+ "step": 950
580
+ },
581
+ {
582
+ "epoch": 0.06,
583
+ "learning_rate": 0.0001232,
584
+ "loss": 0.962,
585
+ "step": 960
586
+ },
587
+ {
588
+ "epoch": 0.06,
589
+ "learning_rate": 0.0001224,
590
+ "loss": 1.0243,
591
+ "step": 970
592
+ },
593
+ {
594
+ "epoch": 0.06,
595
+ "learning_rate": 0.0001216,
596
+ "loss": 1.0634,
597
+ "step": 980
598
+ },
599
+ {
600
+ "epoch": 0.06,
601
+ "learning_rate": 0.0001208,
602
+ "loss": 1.0166,
603
+ "step": 990
604
+ },
605
+ {
606
+ "epoch": 0.06,
607
+ "learning_rate": 0.00012,
608
+ "loss": 0.9862,
609
+ "step": 1000
610
+ },
611
+ {
612
+ "epoch": 0.06,
613
+ "learning_rate": 0.0001192,
614
+ "loss": 1.0362,
615
+ "step": 1010
616
+ },
617
+ {
618
+ "epoch": 0.06,
619
+ "learning_rate": 0.0001184,
620
+ "loss": 0.966,
621
+ "step": 1020
622
+ },
623
+ {
624
+ "epoch": 0.06,
625
+ "learning_rate": 0.0001176,
626
+ "loss": 1.0006,
627
+ "step": 1030
628
+ },
629
+ {
630
+ "epoch": 0.06,
631
+ "learning_rate": 0.00011679999999999999,
632
+ "loss": 1.0357,
633
+ "step": 1040
634
+ },
635
+ {
636
+ "epoch": 0.06,
637
+ "learning_rate": 0.000116,
638
+ "loss": 0.913,
639
+ "step": 1050
640
+ },
641
+ {
642
+ "epoch": 0.06,
643
+ "learning_rate": 0.0001152,
644
+ "loss": 0.9778,
645
+ "step": 1060
646
+ },
647
+ {
648
+ "epoch": 0.06,
649
+ "learning_rate": 0.0001144,
650
+ "loss": 0.9639,
651
+ "step": 1070
652
+ },
653
+ {
654
+ "epoch": 0.06,
655
+ "learning_rate": 0.0001136,
656
+ "loss": 0.9868,
657
+ "step": 1080
658
+ },
659
+ {
660
+ "epoch": 0.06,
661
+ "learning_rate": 0.00011279999999999999,
662
+ "loss": 0.9675,
663
+ "step": 1090
664
+ },
665
+ {
666
+ "epoch": 0.06,
667
+ "learning_rate": 0.00011200000000000001,
668
+ "loss": 0.9512,
669
+ "step": 1100
670
+ },
671
+ {
672
+ "epoch": 0.06,
673
+ "learning_rate": 0.00011120000000000002,
674
+ "loss": 0.9702,
675
+ "step": 1110
676
+ },
677
+ {
678
+ "epoch": 0.06,
679
+ "learning_rate": 0.00011040000000000001,
680
+ "loss": 1.0048,
681
+ "step": 1120
682
+ },
683
+ {
684
+ "epoch": 0.07,
685
+ "learning_rate": 0.00010960000000000001,
686
+ "loss": 1.0567,
687
+ "step": 1130
688
+ },
689
+ {
690
+ "epoch": 0.07,
691
+ "learning_rate": 0.00010880000000000002,
692
+ "loss": 1.0748,
693
+ "step": 1140
694
+ },
695
+ {
696
+ "epoch": 0.07,
697
+ "learning_rate": 0.00010800000000000001,
698
+ "loss": 1.0211,
699
+ "step": 1150
700
+ },
701
+ {
702
+ "epoch": 0.07,
703
+ "learning_rate": 0.00010720000000000002,
704
+ "loss": 1.0302,
705
+ "step": 1160
706
+ },
707
+ {
708
+ "epoch": 0.07,
709
+ "learning_rate": 0.00010640000000000001,
710
+ "loss": 0.95,
711
+ "step": 1170
712
+ },
713
+ {
714
+ "epoch": 0.07,
715
+ "learning_rate": 0.0001056,
716
+ "loss": 0.9633,
717
+ "step": 1180
718
+ },
719
+ {
720
+ "epoch": 0.07,
721
+ "learning_rate": 0.00010480000000000001,
722
+ "loss": 0.953,
723
+ "step": 1190
724
+ },
725
+ {
726
+ "epoch": 0.07,
727
+ "learning_rate": 0.00010400000000000001,
728
+ "loss": 1.1539,
729
+ "step": 1200
730
+ },
731
+ {
732
+ "epoch": 0.07,
733
+ "learning_rate": 0.0001032,
734
+ "loss": 1.0204,
735
+ "step": 1210
736
+ },
737
+ {
738
+ "epoch": 0.07,
739
+ "learning_rate": 0.00010240000000000001,
740
+ "loss": 1.0057,
741
+ "step": 1220
742
+ },
743
+ {
744
+ "epoch": 0.07,
745
+ "learning_rate": 0.0001016,
746
+ "loss": 0.979,
747
+ "step": 1230
748
+ },
749
+ {
750
+ "epoch": 0.07,
751
+ "learning_rate": 0.00010080000000000001,
752
+ "loss": 0.9177,
753
+ "step": 1240
754
+ },
755
+ {
756
+ "epoch": 0.07,
757
+ "learning_rate": 0.0001,
758
+ "loss": 0.9689,
759
+ "step": 1250
760
+ },
761
+ {
762
+ "epoch": 0.07,
763
+ "learning_rate": 9.92e-05,
764
+ "loss": 1.0309,
765
+ "step": 1260
766
+ },
767
+ {
768
+ "epoch": 0.07,
769
+ "learning_rate": 9.84e-05,
770
+ "loss": 0.9808,
771
+ "step": 1270
772
+ },
773
+ {
774
+ "epoch": 0.07,
775
+ "learning_rate": 9.76e-05,
776
+ "loss": 0.9918,
777
+ "step": 1280
778
+ },
779
+ {
780
+ "epoch": 0.07,
781
+ "learning_rate": 9.680000000000001e-05,
782
+ "loss": 0.9972,
783
+ "step": 1290
784
+ },
785
+ {
786
+ "epoch": 0.07,
787
+ "learning_rate": 9.6e-05,
788
+ "loss": 1.0096,
789
+ "step": 1300
790
+ },
791
+ {
792
+ "epoch": 0.08,
793
+ "learning_rate": 9.52e-05,
794
+ "loss": 0.9938,
795
+ "step": 1310
796
+ },
797
+ {
798
+ "epoch": 0.08,
799
+ "learning_rate": 9.44e-05,
800
+ "loss": 1.0777,
801
+ "step": 1320
802
+ },
803
+ {
804
+ "epoch": 0.08,
805
+ "learning_rate": 9.360000000000001e-05,
806
+ "loss": 0.9023,
807
+ "step": 1330
808
+ },
809
+ {
810
+ "epoch": 0.08,
811
+ "learning_rate": 9.28e-05,
812
+ "loss": 0.9703,
813
+ "step": 1340
814
+ },
815
+ {
816
+ "epoch": 0.08,
817
+ "learning_rate": 9.200000000000001e-05,
818
+ "loss": 0.9471,
819
+ "step": 1350
820
+ },
821
+ {
822
+ "epoch": 0.08,
823
+ "learning_rate": 9.120000000000001e-05,
824
+ "loss": 0.9502,
825
+ "step": 1360
826
+ },
827
+ {
828
+ "epoch": 0.08,
829
+ "learning_rate": 9.04e-05,
830
+ "loss": 0.9785,
831
+ "step": 1370
832
+ },
833
+ {
834
+ "epoch": 0.08,
835
+ "learning_rate": 8.960000000000001e-05,
836
+ "loss": 0.9209,
837
+ "step": 1380
838
+ },
839
+ {
840
+ "epoch": 0.08,
841
+ "learning_rate": 8.88e-05,
842
+ "loss": 0.9626,
843
+ "step": 1390
844
+ },
845
+ {
846
+ "epoch": 0.08,
847
+ "learning_rate": 8.800000000000001e-05,
848
+ "loss": 0.9381,
849
+ "step": 1400
850
+ },
851
+ {
852
+ "epoch": 0.08,
853
+ "learning_rate": 8.72e-05,
854
+ "loss": 0.9848,
855
+ "step": 1410
856
+ },
857
+ {
858
+ "epoch": 0.08,
859
+ "learning_rate": 8.64e-05,
860
+ "loss": 0.988,
861
+ "step": 1420
862
+ },
863
+ {
864
+ "epoch": 0.08,
865
+ "learning_rate": 8.560000000000001e-05,
866
+ "loss": 0.9534,
867
+ "step": 1430
868
+ },
869
+ {
870
+ "epoch": 0.08,
871
+ "learning_rate": 8.48e-05,
872
+ "loss": 0.9494,
873
+ "step": 1440
874
+ },
875
+ {
876
+ "epoch": 0.08,
877
+ "learning_rate": 8.4e-05,
878
+ "loss": 0.9913,
879
+ "step": 1450
880
+ },
881
+ {
882
+ "epoch": 0.08,
883
+ "learning_rate": 8.32e-05,
884
+ "loss": 0.9673,
885
+ "step": 1460
886
+ },
887
+ {
888
+ "epoch": 0.08,
889
+ "learning_rate": 8.24e-05,
890
+ "loss": 1.0535,
891
+ "step": 1470
892
+ },
893
+ {
894
+ "epoch": 0.09,
895
+ "learning_rate": 8.16e-05,
896
+ "loss": 1.0376,
897
+ "step": 1480
898
+ },
899
+ {
900
+ "epoch": 0.09,
901
+ "learning_rate": 8.080000000000001e-05,
902
+ "loss": 1.0549,
903
+ "step": 1490
904
+ },
905
+ {
906
+ "epoch": 0.09,
907
+ "learning_rate": 8e-05,
908
+ "loss": 1.1231,
909
+ "step": 1500
910
+ },
911
+ {
912
+ "epoch": 0.09,
913
+ "learning_rate": 7.920000000000001e-05,
914
+ "loss": 0.9429,
915
+ "step": 1510
916
+ },
917
+ {
918
+ "epoch": 0.09,
919
+ "learning_rate": 7.840000000000001e-05,
920
+ "loss": 0.9748,
921
+ "step": 1520
922
+ },
923
+ {
924
+ "epoch": 0.09,
925
+ "learning_rate": 7.76e-05,
926
+ "loss": 1.1094,
927
+ "step": 1530
928
+ },
929
+ {
930
+ "epoch": 0.09,
931
+ "learning_rate": 7.680000000000001e-05,
932
+ "loss": 1.0432,
933
+ "step": 1540
934
+ },
935
+ {
936
+ "epoch": 0.09,
937
+ "learning_rate": 7.6e-05,
938
+ "loss": 0.9773,
939
+ "step": 1550
940
+ },
941
+ {
942
+ "epoch": 0.09,
943
+ "learning_rate": 7.52e-05,
944
+ "loss": 1.0378,
945
+ "step": 1560
946
+ },
947
+ {
948
+ "epoch": 0.09,
949
+ "learning_rate": 7.44e-05,
950
+ "loss": 1.0792,
951
+ "step": 1570
952
+ },
953
+ {
954
+ "epoch": 0.09,
955
+ "learning_rate": 7.36e-05,
956
+ "loss": 0.9189,
957
+ "step": 1580
958
+ },
959
+ {
960
+ "epoch": 0.09,
961
+ "learning_rate": 7.280000000000001e-05,
962
+ "loss": 1.0653,
963
+ "step": 1590
964
+ },
965
+ {
966
+ "epoch": 0.09,
967
+ "learning_rate": 7.2e-05,
968
+ "loss": 1.021,
969
+ "step": 1600
970
+ },
971
+ {
972
+ "epoch": 0.09,
973
+ "learning_rate": 7.12e-05,
974
+ "loss": 1.1548,
975
+ "step": 1610
976
+ },
977
+ {
978
+ "epoch": 0.09,
979
+ "learning_rate": 7.04e-05,
980
+ "loss": 1.0094,
981
+ "step": 1620
982
+ },
983
+ {
984
+ "epoch": 0.09,
985
+ "learning_rate": 6.96e-05,
986
+ "loss": 0.9691,
987
+ "step": 1630
988
+ },
989
+ {
990
+ "epoch": 0.09,
991
+ "learning_rate": 6.879999999999999e-05,
992
+ "loss": 0.9898,
993
+ "step": 1640
994
+ },
995
+ {
996
+ "epoch": 0.09,
997
+ "learning_rate": 6.800000000000001e-05,
998
+ "loss": 1.0263,
999
+ "step": 1650
1000
+ },
1001
+ {
1002
+ "epoch": 0.1,
1003
+ "learning_rate": 6.720000000000001e-05,
1004
+ "loss": 0.9948,
1005
+ "step": 1660
1006
+ },
1007
+ {
1008
+ "epoch": 0.1,
1009
+ "learning_rate": 6.64e-05,
1010
+ "loss": 0.9809,
1011
+ "step": 1670
1012
+ },
1013
+ {
1014
+ "epoch": 0.1,
1015
+ "learning_rate": 6.560000000000001e-05,
1016
+ "loss": 1.0254,
1017
+ "step": 1680
1018
+ },
1019
+ {
1020
+ "epoch": 0.1,
1021
+ "learning_rate": 6.48e-05,
1022
+ "loss": 0.9775,
1023
+ "step": 1690
1024
+ },
1025
+ {
1026
+ "epoch": 0.1,
1027
+ "learning_rate": 6.400000000000001e-05,
1028
+ "loss": 1.0165,
1029
+ "step": 1700
1030
+ },
1031
+ {
1032
+ "epoch": 0.1,
1033
+ "learning_rate": 6.32e-05,
1034
+ "loss": 0.987,
1035
+ "step": 1710
1036
+ },
1037
+ {
1038
+ "epoch": 0.1,
1039
+ "learning_rate": 6.24e-05,
1040
+ "loss": 0.9548,
1041
+ "step": 1720
1042
+ },
1043
+ {
1044
+ "epoch": 0.1,
1045
+ "learning_rate": 6.16e-05,
1046
+ "loss": 0.982,
1047
+ "step": 1730
1048
+ },
1049
+ {
1050
+ "epoch": 0.1,
1051
+ "learning_rate": 6.08e-05,
1052
+ "loss": 1.1186,
1053
+ "step": 1740
1054
+ },
1055
+ {
1056
+ "epoch": 0.1,
1057
+ "learning_rate": 6e-05,
1058
+ "loss": 1.0086,
1059
+ "step": 1750
1060
+ },
1061
+ {
1062
+ "epoch": 0.1,
1063
+ "learning_rate": 5.92e-05,
1064
+ "loss": 1.0121,
1065
+ "step": 1760
1066
+ },
1067
+ {
1068
+ "epoch": 0.1,
1069
+ "learning_rate": 5.8399999999999997e-05,
1070
+ "loss": 1.0157,
1071
+ "step": 1770
1072
+ },
1073
+ {
1074
+ "epoch": 0.1,
1075
+ "learning_rate": 5.76e-05,
1076
+ "loss": 0.9987,
1077
+ "step": 1780
1078
+ },
1079
+ {
1080
+ "epoch": 0.1,
1081
+ "learning_rate": 5.68e-05,
1082
+ "loss": 1.0014,
1083
+ "step": 1790
1084
+ },
1085
+ {
1086
+ "epoch": 0.1,
1087
+ "learning_rate": 5.6000000000000006e-05,
1088
+ "loss": 1.0788,
1089
+ "step": 1800
1090
+ },
1091
+ {
1092
+ "epoch": 0.1,
1093
+ "learning_rate": 5.520000000000001e-05,
1094
+ "loss": 1.0208,
1095
+ "step": 1810
1096
+ },
1097
+ {
1098
+ "epoch": 0.1,
1099
+ "learning_rate": 5.440000000000001e-05,
1100
+ "loss": 1.0551,
1101
+ "step": 1820
1102
+ },
1103
+ {
1104
+ "epoch": 0.11,
1105
+ "learning_rate": 5.360000000000001e-05,
1106
+ "loss": 1.0565,
1107
+ "step": 1830
1108
+ },
1109
+ {
1110
+ "epoch": 0.11,
1111
+ "learning_rate": 5.28e-05,
1112
+ "loss": 1.0127,
1113
+ "step": 1840
1114
+ },
1115
+ {
1116
+ "epoch": 0.11,
1117
+ "learning_rate": 5.2000000000000004e-05,
1118
+ "loss": 0.9067,
1119
+ "step": 1850
1120
+ },
1121
+ {
1122
+ "epoch": 0.11,
1123
+ "learning_rate": 5.1200000000000004e-05,
1124
+ "loss": 0.9731,
1125
+ "step": 1860
1126
+ },
1127
+ {
1128
+ "epoch": 0.11,
1129
+ "learning_rate": 5.0400000000000005e-05,
1130
+ "loss": 1.005,
1131
+ "step": 1870
1132
+ },
1133
+ {
1134
+ "epoch": 0.11,
1135
+ "learning_rate": 4.96e-05,
1136
+ "loss": 1.0038,
1137
+ "step": 1880
1138
+ },
1139
+ {
1140
+ "epoch": 0.11,
1141
+ "learning_rate": 4.88e-05,
1142
+ "loss": 0.9671,
1143
+ "step": 1890
1144
+ },
1145
+ {
1146
+ "epoch": 0.11,
1147
+ "learning_rate": 4.8e-05,
1148
+ "loss": 0.9792,
1149
+ "step": 1900
1150
+ },
1151
+ {
1152
+ "epoch": 0.11,
1153
+ "learning_rate": 4.72e-05,
1154
+ "loss": 0.9125,
1155
+ "step": 1910
1156
+ },
1157
+ {
1158
+ "epoch": 0.11,
1159
+ "learning_rate": 4.64e-05,
1160
+ "loss": 1.0566,
1161
+ "step": 1920
1162
+ },
1163
+ {
1164
+ "epoch": 0.11,
1165
+ "learning_rate": 4.5600000000000004e-05,
1166
+ "loss": 0.9108,
1167
+ "step": 1930
1168
+ },
1169
+ {
1170
+ "epoch": 0.11,
1171
+ "learning_rate": 4.4800000000000005e-05,
1172
+ "loss": 1.0017,
1173
+ "step": 1940
1174
+ },
1175
+ {
1176
+ "epoch": 0.11,
1177
+ "learning_rate": 4.4000000000000006e-05,
1178
+ "loss": 0.96,
1179
+ "step": 1950
1180
+ },
1181
+ {
1182
+ "epoch": 0.11,
1183
+ "learning_rate": 4.32e-05,
1184
+ "loss": 0.9096,
1185
+ "step": 1960
1186
+ },
1187
+ {
1188
+ "epoch": 0.11,
1189
+ "learning_rate": 4.24e-05,
1190
+ "loss": 0.9037,
1191
+ "step": 1970
1192
+ },
1193
+ {
1194
+ "epoch": 0.11,
1195
+ "learning_rate": 4.16e-05,
1196
+ "loss": 0.9881,
1197
+ "step": 1980
1198
+ },
1199
+ {
1200
+ "epoch": 0.11,
1201
+ "learning_rate": 4.08e-05,
1202
+ "loss": 0.9556,
1203
+ "step": 1990
1204
+ },
1205
+ {
1206
+ "epoch": 0.12,
1207
+ "learning_rate": 4e-05,
1208
+ "loss": 0.9572,
1209
+ "step": 2000
1210
+ },
1211
+ {
1212
+ "epoch": 0.12,
1213
+ "learning_rate": 3.9200000000000004e-05,
1214
+ "loss": 1.0412,
1215
+ "step": 2010
1216
+ },
1217
+ {
1218
+ "epoch": 0.12,
1219
+ "learning_rate": 3.8400000000000005e-05,
1220
+ "loss": 1.0179,
1221
+ "step": 2020
1222
+ },
1223
+ {
1224
+ "epoch": 0.12,
1225
+ "learning_rate": 3.76e-05,
1226
+ "loss": 1.032,
1227
+ "step": 2030
1228
+ },
1229
+ {
1230
+ "epoch": 0.12,
1231
+ "learning_rate": 3.68e-05,
1232
+ "loss": 0.9593,
1233
+ "step": 2040
1234
+ },
1235
+ {
1236
+ "epoch": 0.12,
1237
+ "learning_rate": 3.6e-05,
1238
+ "loss": 0.9784,
1239
+ "step": 2050
1240
+ },
1241
+ {
1242
+ "epoch": 0.12,
1243
+ "learning_rate": 3.52e-05,
1244
+ "loss": 0.9205,
1245
+ "step": 2060
1246
+ },
1247
+ {
1248
+ "epoch": 0.12,
1249
+ "learning_rate": 3.4399999999999996e-05,
1250
+ "loss": 0.98,
1251
+ "step": 2070
1252
+ },
1253
+ {
1254
+ "epoch": 0.12,
1255
+ "learning_rate": 3.3600000000000004e-05,
1256
+ "loss": 1.122,
1257
+ "step": 2080
1258
+ },
1259
+ {
1260
+ "epoch": 0.12,
1261
+ "learning_rate": 3.2800000000000004e-05,
1262
+ "loss": 0.9987,
1263
+ "step": 2090
1264
+ },
1265
+ {
1266
+ "epoch": 0.12,
1267
+ "learning_rate": 3.2000000000000005e-05,
1268
+ "loss": 0.9724,
1269
+ "step": 2100
1270
+ },
1271
+ {
1272
+ "epoch": 0.12,
1273
+ "learning_rate": 3.12e-05,
1274
+ "loss": 1.0209,
1275
+ "step": 2110
1276
+ },
1277
+ {
1278
+ "epoch": 0.12,
1279
+ "learning_rate": 3.04e-05,
1280
+ "loss": 0.9966,
1281
+ "step": 2120
1282
+ },
1283
+ {
1284
+ "epoch": 0.12,
1285
+ "learning_rate": 2.96e-05,
1286
+ "loss": 0.9792,
1287
+ "step": 2130
1288
+ },
1289
+ {
1290
+ "epoch": 0.12,
1291
+ "learning_rate": 2.88e-05,
1292
+ "loss": 1.0142,
1293
+ "step": 2140
1294
+ },
1295
+ {
1296
+ "epoch": 0.12,
1297
+ "learning_rate": 2.8000000000000003e-05,
1298
+ "loss": 0.9164,
1299
+ "step": 2150
1300
+ },
1301
+ {
1302
+ "epoch": 0.12,
1303
+ "learning_rate": 2.7200000000000004e-05,
1304
+ "loss": 1.0151,
1305
+ "step": 2160
1306
+ },
1307
+ {
1308
+ "epoch": 0.12,
1309
+ "learning_rate": 2.64e-05,
1310
+ "loss": 0.9667,
1311
+ "step": 2170
1312
+ },
1313
+ {
1314
+ "epoch": 0.13,
1315
+ "learning_rate": 2.5600000000000002e-05,
1316
+ "loss": 1.1009,
1317
+ "step": 2180
1318
+ },
1319
+ {
1320
+ "epoch": 0.13,
1321
+ "learning_rate": 2.48e-05,
1322
+ "loss": 0.9313,
1323
+ "step": 2190
1324
+ },
1325
+ {
1326
+ "epoch": 0.13,
1327
+ "learning_rate": 2.4e-05,
1328
+ "loss": 1.0617,
1329
+ "step": 2200
1330
+ },
1331
+ {
1332
+ "epoch": 0.13,
1333
+ "learning_rate": 2.32e-05,
1334
+ "loss": 1.0034,
1335
+ "step": 2210
1336
+ },
1337
+ {
1338
+ "epoch": 0.13,
1339
+ "learning_rate": 2.2400000000000002e-05,
1340
+ "loss": 0.9779,
1341
+ "step": 2220
1342
+ },
1343
+ {
1344
+ "epoch": 0.13,
1345
+ "learning_rate": 2.16e-05,
1346
+ "loss": 0.9861,
1347
+ "step": 2230
1348
+ },
1349
+ {
1350
+ "epoch": 0.13,
1351
+ "learning_rate": 2.08e-05,
1352
+ "loss": 0.9929,
1353
+ "step": 2240
1354
+ },
1355
+ {
1356
+ "epoch": 0.13,
1357
+ "learning_rate": 2e-05,
1358
+ "loss": 1.0136,
1359
+ "step": 2250
1360
+ },
1361
+ {
1362
+ "epoch": 0.13,
1363
+ "learning_rate": 1.9200000000000003e-05,
1364
+ "loss": 0.9733,
1365
+ "step": 2260
1366
+ },
1367
+ {
1368
+ "epoch": 0.13,
1369
+ "learning_rate": 1.84e-05,
1370
+ "loss": 0.9304,
1371
+ "step": 2270
1372
+ },
1373
+ {
1374
+ "epoch": 0.13,
1375
+ "learning_rate": 1.76e-05,
1376
+ "loss": 0.976,
1377
+ "step": 2280
1378
+ },
1379
+ {
1380
+ "epoch": 0.13,
1381
+ "learning_rate": 1.6800000000000002e-05,
1382
+ "loss": 1.0155,
1383
+ "step": 2290
1384
+ },
1385
+ {
1386
+ "epoch": 0.13,
1387
+ "learning_rate": 1.6000000000000003e-05,
1388
+ "loss": 0.9637,
1389
+ "step": 2300
1390
+ },
1391
+ {
1392
+ "epoch": 0.13,
1393
+ "learning_rate": 1.52e-05,
1394
+ "loss": 0.9841,
1395
+ "step": 2310
1396
+ },
1397
+ {
1398
+ "epoch": 0.13,
1399
+ "learning_rate": 1.44e-05,
1400
+ "loss": 0.9995,
1401
+ "step": 2320
1402
+ },
1403
+ {
1404
+ "epoch": 0.13,
1405
+ "learning_rate": 1.3600000000000002e-05,
1406
+ "loss": 0.944,
1407
+ "step": 2330
1408
+ },
1409
+ {
1410
+ "epoch": 0.13,
1411
+ "learning_rate": 1.2800000000000001e-05,
1412
+ "loss": 1.0196,
1413
+ "step": 2340
1414
+ },
1415
+ {
1416
+ "epoch": 0.14,
1417
+ "learning_rate": 1.2e-05,
1418
+ "loss": 1.1164,
1419
+ "step": 2350
1420
+ },
1421
+ {
1422
+ "epoch": 0.14,
1423
+ "learning_rate": 1.1200000000000001e-05,
1424
+ "loss": 0.9235,
1425
+ "step": 2360
1426
+ },
1427
+ {
1428
+ "epoch": 0.14,
1429
+ "learning_rate": 1.04e-05,
1430
+ "loss": 0.9698,
1431
+ "step": 2370
1432
+ },
1433
+ {
1434
+ "epoch": 0.14,
1435
+ "learning_rate": 9.600000000000001e-06,
1436
+ "loss": 1.0232,
1437
+ "step": 2380
1438
+ },
1439
+ {
1440
+ "epoch": 0.14,
1441
+ "learning_rate": 8.8e-06,
1442
+ "loss": 0.9899,
1443
+ "step": 2390
1444
+ },
1445
+ {
1446
+ "epoch": 0.14,
1447
+ "learning_rate": 8.000000000000001e-06,
1448
+ "loss": 0.9535,
1449
+ "step": 2400
1450
+ },
1451
+ {
1452
+ "epoch": 0.14,
1453
+ "learning_rate": 7.2e-06,
1454
+ "loss": 0.977,
1455
+ "step": 2410
1456
+ },
1457
+ {
1458
+ "epoch": 0.14,
1459
+ "learning_rate": 6.4000000000000006e-06,
1460
+ "loss": 1.0414,
1461
+ "step": 2420
1462
+ },
1463
+ {
1464
+ "epoch": 0.14,
1465
+ "learning_rate": 5.600000000000001e-06,
1466
+ "loss": 0.986,
1467
+ "step": 2430
1468
+ },
1469
+ {
1470
+ "epoch": 0.14,
1471
+ "learning_rate": 4.800000000000001e-06,
1472
+ "loss": 1.0086,
1473
+ "step": 2440
1474
+ },
1475
+ {
1476
+ "epoch": 0.14,
1477
+ "learning_rate": 4.000000000000001e-06,
1478
+ "loss": 0.9594,
1479
+ "step": 2450
1480
+ },
1481
+ {
1482
+ "epoch": 0.14,
1483
+ "learning_rate": 3.2000000000000003e-06,
1484
+ "loss": 0.9584,
1485
+ "step": 2460
1486
+ },
1487
+ {
1488
+ "epoch": 0.14,
1489
+ "learning_rate": 2.4000000000000003e-06,
1490
+ "loss": 0.8961,
1491
+ "step": 2470
1492
+ },
1493
+ {
1494
+ "epoch": 0.14,
1495
+ "learning_rate": 1.6000000000000001e-06,
1496
+ "loss": 0.9713,
1497
+ "step": 2480
1498
+ },
1499
+ {
1500
+ "epoch": 0.14,
1501
+ "learning_rate": 8.000000000000001e-07,
1502
+ "loss": 1.0307,
1503
+ "step": 2490
1504
+ },
1505
+ {
1506
+ "epoch": 0.14,
1507
+ "learning_rate": 0.0,
1508
+ "loss": 0.9984,
1509
+ "step": 2500
1510
  }
1511
  ],
1512
  "logging_steps": 10,
1513
  "max_steps": 2500,
1514
  "num_train_epochs": 1,
1515
  "save_steps": 500,
1516
+ "total_flos": 1.63610722566144e+18,
1517
  "trial_name": null,
1518
  "trial_params": null
1519
  }