Xmm commited on
Commit
f734060
1 Parent(s): 20d94f1

Upload 10 files

Browse files
Files changed (5) hide show
  1. model.safetensors +1 -1
  2. optimizer.pt +1 -1
  3. rng_state.pth +1 -1
  4. scheduler.pt +1 -1
  5. trainer_state.json +1171 -5
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:da9c76f91c340c43d00e90b30b080373a0dd6615a7e02480016eb919b5c67da9
3
  size 3111656212
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6a3f02550d4f935dc69517ae713f60c984b68e1c4e6c70297462b4ac3502c96f
3
  size 3111656212
optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e5c5b28dd2354302b279aed74a13d3a719376bf9b72edbf8ba24e4989e51956c
3
  size 6223436042
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f5559e84ab4d20220b4e995bab1078649df513d51ef9ee25c55e8c0095675ed0
3
  size 6223436042
rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:44213e11b20ad35cc12ee23e9b37516197be0a22514fe7582c6f89a61de845f3
3
  size 14244
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3aa126ec760ffe2d99e9cdb113d1ce118c69d0c5b58b29cd42dcf9c28d3e67db
3
  size 14244
scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:31026445b691f1b7b313e7e4d39feecc6ba53ee700f381fcaf28d9a5411a611c
3
  size 1064
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3165a19a79ff0fa578a1a8f54ac4647e71f7ae2c9a8788aa153845e7e2fdb748
3
  size 1064
trainer_state.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
- "best_metric": 0.3108769357204437,
3
- "best_model_checkpoint": "./checkpoint-xlm-v-base/checkpoint-15000",
4
- "epoch": 0.6640694173897644,
5
  "eval_steps": 1000,
6
- "global_step": 15000,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
@@ -337,6 +337,1172 @@
337
  "eval_samples_per_second": 74.212,
338
  "eval_steps_per_second": 0.29,
339
  "step": 15000
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
340
  }
341
  ],
342
  "logging_steps": 1000,
@@ -344,7 +1510,7 @@
344
  "num_input_tokens_seen": 0,
345
  "num_train_epochs": 7,
346
  "save_steps": 500,
347
- "total_flos": 4767734068578096.0,
348
  "train_batch_size": 8,
349
  "trial_name": null,
350
  "trial_params": null
 
1
  {
2
+ "best_metric": 0.267339825630188,
3
+ "best_model_checkpoint": "./checkpoint-xlm-v-base/checkpoint-62000",
4
+ "epoch": 3.032583672746591,
5
  "eval_steps": 1000,
6
+ "global_step": 68500,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
 
337
  "eval_samples_per_second": 74.212,
338
  "eval_steps_per_second": 0.29,
339
  "step": 15000
340
+ },
341
+ {
342
+ "epoch": 0.71,
343
+ "grad_norm": 36.22490692138672,
344
+ "learning_rate": 1.7976169394621674e-05,
345
+ "loss": 0.3332,
346
+ "step": 16000
347
+ },
348
+ {
349
+ "epoch": 0.71,
350
+ "eval_LOC_f1": 0.8066277986085525,
351
+ "eval_ORG_f1": 0.6983725665012176,
352
+ "eval_PER_f1": 0.8332057011578333,
353
+ "eval_loss": 0.31944143772125244,
354
+ "eval_overall_accuracy": 0.9018524580941595,
355
+ "eval_overall_f1": 0.7838363709114303,
356
+ "eval_overall_precision": 0.7856547450536315,
357
+ "eval_overall_recall": 0.7820263944768853,
358
+ "eval_runtime": 885.7636,
359
+ "eval_samples_per_second": 74.173,
360
+ "eval_steps_per_second": 0.29,
361
+ "step": 16000
362
+ },
363
+ {
364
+ "epoch": 0.75,
365
+ "grad_norm": 12.729876518249512,
366
+ "learning_rate": 1.7849679981785527e-05,
367
+ "loss": 0.3324,
368
+ "step": 17000
369
+ },
370
+ {
371
+ "epoch": 0.75,
372
+ "eval_LOC_f1": 0.8091387580118001,
373
+ "eval_ORG_f1": 0.7010727593385756,
374
+ "eval_PER_f1": 0.8321347376235326,
375
+ "eval_loss": 0.3180248737335205,
376
+ "eval_overall_accuracy": 0.9008195115735422,
377
+ "eval_overall_f1": 0.7850356248119096,
378
+ "eval_overall_precision": 0.7839540384210074,
379
+ "eval_overall_recall": 0.7861201997589117,
380
+ "eval_runtime": 884.7821,
381
+ "eval_samples_per_second": 74.256,
382
+ "eval_steps_per_second": 0.29,
383
+ "step": 17000
384
+ },
385
+ {
386
+ "epoch": 0.8,
387
+ "grad_norm": 8.6387939453125,
388
+ "learning_rate": 1.772319056894938e-05,
389
+ "loss": 0.3385,
390
+ "step": 18000
391
+ },
392
+ {
393
+ "epoch": 0.8,
394
+ "eval_LOC_f1": 0.7763382604086921,
395
+ "eval_ORG_f1": 0.6755694544225161,
396
+ "eval_PER_f1": 0.8256535378180551,
397
+ "eval_loss": 0.33690232038497925,
398
+ "eval_overall_accuracy": 0.8964328777930731,
399
+ "eval_overall_f1": 0.7651045588831604,
400
+ "eval_overall_precision": 0.755082284607938,
401
+ "eval_overall_recall": 0.7753964650813282,
402
+ "eval_runtime": 890.8661,
403
+ "eval_samples_per_second": 73.748,
404
+ "eval_steps_per_second": 0.288,
405
+ "step": 18000
406
+ },
407
+ {
408
+ "epoch": 0.84,
409
+ "grad_norm": 9.216795921325684,
410
+ "learning_rate": 1.7596701156113234e-05,
411
+ "loss": 0.3267,
412
+ "step": 19000
413
+ },
414
+ {
415
+ "epoch": 0.84,
416
+ "eval_LOC_f1": 0.8015086633534421,
417
+ "eval_ORG_f1": 0.70105107410561,
418
+ "eval_PER_f1": 0.8364990020855292,
419
+ "eval_loss": 0.3270108103752136,
420
+ "eval_overall_accuracy": 0.9019283701744147,
421
+ "eval_overall_f1": 0.7856358496296815,
422
+ "eval_overall_precision": 0.7816849022099619,
423
+ "eval_overall_recall": 0.789626939273917,
424
+ "eval_runtime": 950.9161,
425
+ "eval_samples_per_second": 69.091,
426
+ "eval_steps_per_second": 0.27,
427
+ "step": 19000
428
+ },
429
+ {
430
+ "epoch": 0.89,
431
+ "grad_norm": 10.781560897827148,
432
+ "learning_rate": 1.747021174327709e-05,
433
+ "loss": 0.3233,
434
+ "step": 20000
435
+ },
436
+ {
437
+ "epoch": 0.89,
438
+ "eval_LOC_f1": 0.8056958546374753,
439
+ "eval_ORG_f1": 0.6917519315097098,
440
+ "eval_PER_f1": 0.8345942771968653,
441
+ "eval_loss": 0.30491939187049866,
442
+ "eval_overall_accuracy": 0.9033815442821598,
443
+ "eval_overall_f1": 0.783789045768533,
444
+ "eval_overall_precision": 0.7798233379823338,
445
+ "eval_overall_recall": 0.7877952940808116,
446
+ "eval_runtime": 917.217,
447
+ "eval_samples_per_second": 71.63,
448
+ "eval_steps_per_second": 0.28,
449
+ "step": 20000
450
+ },
451
+ {
452
+ "epoch": 0.93,
453
+ "grad_norm": 15.803696632385254,
454
+ "learning_rate": 1.7343722330440944e-05,
455
+ "loss": 0.3112,
456
+ "step": 21000
457
+ },
458
+ {
459
+ "epoch": 0.93,
460
+ "eval_LOC_f1": 0.8185129588612579,
461
+ "eval_ORG_f1": 0.7198663442992582,
462
+ "eval_PER_f1": 0.8407628833170422,
463
+ "eval_loss": 0.3230852782726288,
464
+ "eval_overall_accuracy": 0.9054094812832666,
465
+ "eval_overall_f1": 0.7978603713205666,
466
+ "eval_overall_precision": 0.7936613663999752,
467
+ "eval_overall_recall": 0.8021040437090032,
468
+ "eval_runtime": 886.1519,
469
+ "eval_samples_per_second": 74.141,
470
+ "eval_steps_per_second": 0.29,
471
+ "step": 21000
472
+ },
473
+ {
474
+ "epoch": 0.97,
475
+ "grad_norm": 2.6037917137145996,
476
+ "learning_rate": 1.7217232917604798e-05,
477
+ "loss": 0.3256,
478
+ "step": 22000
479
+ },
480
+ {
481
+ "epoch": 0.97,
482
+ "eval_LOC_f1": 0.8135399708226737,
483
+ "eval_ORG_f1": 0.7164829968607569,
484
+ "eval_PER_f1": 0.8380035321776889,
485
+ "eval_loss": 0.3068985044956207,
486
+ "eval_overall_accuracy": 0.9048909746636654,
487
+ "eval_overall_f1": 0.7934551505253751,
488
+ "eval_overall_precision": 0.781072268142868,
489
+ "eval_overall_recall": 0.806236986708831,
490
+ "eval_runtime": 885.0947,
491
+ "eval_samples_per_second": 74.229,
492
+ "eval_steps_per_second": 0.29,
493
+ "step": 22000
494
+ },
495
+ {
496
+ "epoch": 1.02,
497
+ "grad_norm": 20.057506561279297,
498
+ "learning_rate": 1.709074350476865e-05,
499
+ "loss": 0.2931,
500
+ "step": 23000
501
+ },
502
+ {
503
+ "epoch": 1.02,
504
+ "eval_LOC_f1": 0.8090675101559834,
505
+ "eval_ORG_f1": 0.7063356635658061,
506
+ "eval_PER_f1": 0.8313781014023732,
507
+ "eval_loss": 0.3428688645362854,
508
+ "eval_overall_accuracy": 0.8993378704357015,
509
+ "eval_overall_f1": 0.7878607280931577,
510
+ "eval_overall_precision": 0.779137676333938,
511
+ "eval_overall_recall": 0.7967813140880129,
512
+ "eval_runtime": 913.4969,
513
+ "eval_samples_per_second": 71.921,
514
+ "eval_steps_per_second": 0.281,
515
+ "step": 23000
516
+ },
517
+ {
518
+ "epoch": 1.06,
519
+ "grad_norm": 10.215392112731934,
520
+ "learning_rate": 1.6964254091932504e-05,
521
+ "loss": 0.2936,
522
+ "step": 24000
523
+ },
524
+ {
525
+ "epoch": 1.06,
526
+ "eval_LOC_f1": 0.8279096724337782,
527
+ "eval_ORG_f1": 0.7213703143205346,
528
+ "eval_PER_f1": 0.8399587047500638,
529
+ "eval_loss": 0.3276561200618744,
530
+ "eval_overall_accuracy": 0.9048035402140856,
531
+ "eval_overall_f1": 0.8012747941254013,
532
+ "eval_overall_precision": 0.7938388261504187,
533
+ "eval_overall_recall": 0.8088513862579645,
534
+ "eval_runtime": 888.4065,
535
+ "eval_samples_per_second": 73.953,
536
+ "eval_steps_per_second": 0.289,
537
+ "step": 24000
538
+ },
539
+ {
540
+ "epoch": 1.11,
541
+ "grad_norm": 13.276248931884766,
542
+ "learning_rate": 1.683776467909636e-05,
543
+ "loss": 0.2797,
544
+ "step": 25000
545
+ },
546
+ {
547
+ "epoch": 1.11,
548
+ "eval_LOC_f1": 0.8137454037894649,
549
+ "eval_ORG_f1": 0.7157125069541951,
550
+ "eval_PER_f1": 0.8422392139071162,
551
+ "eval_loss": 0.30677318572998047,
552
+ "eval_overall_accuracy": 0.9050170429398038,
553
+ "eval_overall_f1": 0.7953167244565965,
554
+ "eval_overall_precision": 0.7764588335296837,
555
+ "eval_overall_recall": 0.8151134211061885,
556
+ "eval_runtime": 923.9779,
557
+ "eval_samples_per_second": 71.106,
558
+ "eval_steps_per_second": 0.278,
559
+ "step": 25000
560
+ },
561
+ {
562
+ "epoch": 1.15,
563
+ "grad_norm": 0.08989755064249039,
564
+ "learning_rate": 1.6711275266260215e-05,
565
+ "loss": 0.2792,
566
+ "step": 26000
567
+ },
568
+ {
569
+ "epoch": 1.15,
570
+ "eval_LOC_f1": 0.8237387838615486,
571
+ "eval_ORG_f1": 0.717827626918536,
572
+ "eval_PER_f1": 0.8449089917750373,
573
+ "eval_loss": 0.3350381851196289,
574
+ "eval_overall_accuracy": 0.9065115620198306,
575
+ "eval_overall_f1": 0.7990867935095444,
576
+ "eval_overall_precision": 0.7941203753807146,
577
+ "eval_overall_recall": 0.8041157224039952,
578
+ "eval_runtime": 950.4133,
579
+ "eval_samples_per_second": 69.128,
580
+ "eval_steps_per_second": 0.27,
581
+ "step": 26000
582
+ },
583
+ {
584
+ "epoch": 1.2,
585
+ "grad_norm": 32.182918548583984,
586
+ "learning_rate": 1.658478585342407e-05,
587
+ "loss": 0.2698,
588
+ "step": 27000
589
+ },
590
+ {
591
+ "epoch": 1.2,
592
+ "eval_LOC_f1": 0.8267147626869356,
593
+ "eval_ORG_f1": 0.7322118816415036,
594
+ "eval_PER_f1": 0.8463502705378134,
595
+ "eval_loss": 0.3303050696849823,
596
+ "eval_overall_accuracy": 0.9053356025623038,
597
+ "eval_overall_f1": 0.8061476513209491,
598
+ "eval_overall_precision": 0.803686040812516,
599
+ "eval_overall_recall": 0.8086243874947164,
600
+ "eval_runtime": 903.1604,
601
+ "eval_samples_per_second": 72.745,
602
+ "eval_steps_per_second": 0.285,
603
+ "step": 27000
604
+ },
605
+ {
606
+ "epoch": 1.24,
607
+ "grad_norm": 27.704275131225586,
608
+ "learning_rate": 1.6458296440587925e-05,
609
+ "loss": 0.2846,
610
+ "step": 28000
611
+ },
612
+ {
613
+ "epoch": 1.24,
614
+ "eval_LOC_f1": 0.8198407012516331,
615
+ "eval_ORG_f1": 0.7170252756930114,
616
+ "eval_PER_f1": 0.8497716275494053,
617
+ "eval_loss": 0.3040228486061096,
618
+ "eval_overall_accuracy": 0.9088763588770705,
619
+ "eval_overall_f1": 0.7998951624404026,
620
+ "eval_overall_precision": 0.7879266486958503,
621
+ "eval_overall_recall": 0.8122328850760054,
622
+ "eval_runtime": 883.6437,
623
+ "eval_samples_per_second": 74.351,
624
+ "eval_steps_per_second": 0.291,
625
+ "step": 28000
626
+ },
627
+ {
628
+ "epoch": 1.28,
629
+ "grad_norm": 1.532094120979309,
630
+ "learning_rate": 1.633180702775178e-05,
631
+ "loss": 0.2765,
632
+ "step": 29000
633
+ },
634
+ {
635
+ "epoch": 1.28,
636
+ "eval_LOC_f1": 0.8226323815533471,
637
+ "eval_ORG_f1": 0.7322743544720759,
638
+ "eval_PER_f1": 0.8458698818030955,
639
+ "eval_loss": 0.3010263741016388,
640
+ "eval_overall_accuracy": 0.9093941877102408,
641
+ "eval_overall_f1": 0.8048208514659728,
642
+ "eval_overall_precision": 0.799766577265244,
643
+ "eval_overall_recall": 0.8099394148128435,
644
+ "eval_runtime": 883.3843,
645
+ "eval_samples_per_second": 74.373,
646
+ "eval_steps_per_second": 0.291,
647
+ "step": 29000
648
+ },
649
+ {
650
+ "epoch": 1.33,
651
+ "grad_norm": 2.7648439407348633,
652
+ "learning_rate": 1.6205317614915632e-05,
653
+ "loss": 0.2758,
654
+ "step": 30000
655
+ },
656
+ {
657
+ "epoch": 1.33,
658
+ "eval_LOC_f1": 0.8158232882579698,
659
+ "eval_ORG_f1": 0.7211553763726063,
660
+ "eval_PER_f1": 0.8392668350824088,
661
+ "eval_loss": 0.2979504466056824,
662
+ "eval_overall_accuracy": 0.907270682822384,
663
+ "eval_overall_f1": 0.7967142515352101,
664
+ "eval_overall_precision": 0.7737616641463505,
665
+ "eval_overall_recall": 0.8210701817555615,
666
+ "eval_runtime": 884.2556,
667
+ "eval_samples_per_second": 74.3,
668
+ "eval_steps_per_second": 0.291,
669
+ "step": 30000
670
+ },
671
+ {
672
+ "epoch": 1.37,
673
+ "grad_norm": 2.9498727321624756,
674
+ "learning_rate": 1.607882820207949e-05,
675
+ "loss": 0.2745,
676
+ "step": 31000
677
+ },
678
+ {
679
+ "epoch": 1.37,
680
+ "eval_LOC_f1": 0.8269012485811577,
681
+ "eval_ORG_f1": 0.7277582167305856,
682
+ "eval_PER_f1": 0.856517895595802,
683
+ "eval_loss": 0.2944641709327698,
684
+ "eval_overall_accuracy": 0.9108385505943848,
685
+ "eval_overall_f1": 0.807803496021649,
686
+ "eval_overall_precision": 0.7947313807024321,
687
+ "eval_overall_recall": 0.8213128356059302,
688
+ "eval_runtime": 883.9066,
689
+ "eval_samples_per_second": 74.329,
690
+ "eval_steps_per_second": 0.291,
691
+ "step": 31000
692
+ },
693
+ {
694
+ "epoch": 1.42,
695
+ "grad_norm": 11.60289192199707,
696
+ "learning_rate": 1.5952338789243342e-05,
697
+ "loss": 0.2645,
698
+ "step": 32000
699
+ },
700
+ {
701
+ "epoch": 1.42,
702
+ "eval_LOC_f1": 0.8305319969159598,
703
+ "eval_ORG_f1": 0.7228604829282057,
704
+ "eval_PER_f1": 0.8315148384875288,
705
+ "eval_loss": 0.32325080037117004,
706
+ "eval_overall_accuracy": 0.9048618298471388,
707
+ "eval_overall_f1": 0.7998450483255535,
708
+ "eval_overall_precision": 0.7917570997998328,
709
+ "eval_overall_recall": 0.8080999420761776,
710
+ "eval_runtime": 933.3011,
711
+ "eval_samples_per_second": 70.395,
712
+ "eval_steps_per_second": 0.275,
713
+ "step": 32000
714
+ },
715
+ {
716
+ "epoch": 1.46,
717
+ "grad_norm": 42.618431091308594,
718
+ "learning_rate": 1.5825849376407196e-05,
719
+ "loss": 0.2779,
720
+ "step": 33000
721
+ },
722
+ {
723
+ "epoch": 1.46,
724
+ "eval_LOC_f1": 0.8264125401549256,
725
+ "eval_ORG_f1": 0.7424042624042624,
726
+ "eval_PER_f1": 0.8601716304896517,
727
+ "eval_loss": 0.2943771183490753,
728
+ "eval_overall_accuracy": 0.9127221190857203,
729
+ "eval_overall_f1": 0.8132353632361465,
730
+ "eval_overall_precision": 0.8138473840171838,
731
+ "eval_overall_recall": 0.8126242622540194,
732
+ "eval_runtime": 953.7502,
733
+ "eval_samples_per_second": 68.886,
734
+ "eval_steps_per_second": 0.269,
735
+ "step": 33000
736
+ },
737
+ {
738
+ "epoch": 1.51,
739
+ "grad_norm": 15.319729804992676,
740
+ "learning_rate": 1.569935996357105e-05,
741
+ "loss": 0.2709,
742
+ "step": 34000
743
+ },
744
+ {
745
+ "epoch": 1.51,
746
+ "eval_LOC_f1": 0.832774509183695,
747
+ "eval_ORG_f1": 0.7316936984844457,
748
+ "eval_PER_f1": 0.8539732494099136,
749
+ "eval_loss": 0.2914768159389496,
750
+ "eval_overall_accuracy": 0.9130203451152948,
751
+ "eval_overall_f1": 0.8107029247351679,
752
+ "eval_overall_precision": 0.7998217523118878,
753
+ "eval_overall_recall": 0.8218842462858306,
754
+ "eval_runtime": 894.9182,
755
+ "eval_samples_per_second": 73.415,
756
+ "eval_steps_per_second": 0.287,
757
+ "step": 34000
758
+ },
759
+ {
760
+ "epoch": 1.55,
761
+ "grad_norm": 1.931920051574707,
762
+ "learning_rate": 1.5572870550734906e-05,
763
+ "loss": 0.2631,
764
+ "step": 35000
765
+ },
766
+ {
767
+ "epoch": 1.55,
768
+ "eval_LOC_f1": 0.8323614548810673,
769
+ "eval_ORG_f1": 0.7279775567457282,
770
+ "eval_PER_f1": 0.8522675037838443,
771
+ "eval_loss": 0.3124816417694092,
772
+ "eval_overall_accuracy": 0.9096829247297835,
773
+ "eval_overall_f1": 0.8079843932416348,
774
+ "eval_overall_precision": 0.7857095311702623,
775
+ "eval_overall_recall": 0.8315590901263366,
776
+ "eval_runtime": 886.0992,
777
+ "eval_samples_per_second": 74.145,
778
+ "eval_steps_per_second": 0.29,
779
+ "step": 35000
780
+ },
781
+ {
782
+ "epoch": 1.59,
783
+ "grad_norm": 2.4540863037109375,
784
+ "learning_rate": 1.544638113789876e-05,
785
+ "loss": 0.2684,
786
+ "step": 36000
787
+ },
788
+ {
789
+ "epoch": 1.59,
790
+ "eval_LOC_f1": 0.8353469255313396,
791
+ "eval_ORG_f1": 0.743517370545253,
792
+ "eval_PER_f1": 0.8544175455688603,
793
+ "eval_loss": 0.31003931164741516,
794
+ "eval_overall_accuracy": 0.9140255023922472,
795
+ "eval_overall_f1": 0.8147700607298496,
796
+ "eval_overall_precision": 0.8114867383067271,
797
+ "eval_overall_recall": 0.8180800601155346,
798
+ "eval_runtime": 886.9365,
799
+ "eval_samples_per_second": 74.075,
800
+ "eval_steps_per_second": 0.29,
801
+ "step": 36000
802
+ },
803
+ {
804
+ "epoch": 1.64,
805
+ "grad_norm": 1.3480443954467773,
806
+ "learning_rate": 1.5319891725062616e-05,
807
+ "loss": 0.2546,
808
+ "step": 37000
809
+ },
810
+ {
811
+ "epoch": 1.64,
812
+ "eval_LOC_f1": 0.8268920250802105,
813
+ "eval_ORG_f1": 0.7359205250232403,
814
+ "eval_PER_f1": 0.8566762684569846,
815
+ "eval_loss": 0.3172565698623657,
816
+ "eval_overall_accuracy": 0.9102766656432092,
817
+ "eval_overall_f1": 0.8115168704156479,
818
+ "eval_overall_precision": 0.8111456076827428,
819
+ "eval_overall_recall": 0.8118884731593531,
820
+ "eval_runtime": 886.1348,
821
+ "eval_samples_per_second": 74.142,
822
+ "eval_steps_per_second": 0.29,
823
+ "step": 37000
824
+ },
825
+ {
826
+ "epoch": 1.68,
827
+ "grad_norm": 2.66180419921875,
828
+ "learning_rate": 1.5193402312226468e-05,
829
+ "loss": 0.2642,
830
+ "step": 38000
831
+ },
832
+ {
833
+ "epoch": 1.68,
834
+ "eval_LOC_f1": 0.8459391601383606,
835
+ "eval_ORG_f1": 0.7362593503366764,
836
+ "eval_PER_f1": 0.8645872824401172,
837
+ "eval_loss": 0.2804827094078064,
838
+ "eval_overall_accuracy": 0.913356527184997,
839
+ "eval_overall_f1": 0.8191614534186092,
840
+ "eval_overall_precision": 0.8128202954617264,
841
+ "eval_overall_recall": 0.8256023294769635,
842
+ "eval_runtime": 901.1127,
843
+ "eval_samples_per_second": 72.91,
844
+ "eval_steps_per_second": 0.285,
845
+ "step": 38000
846
+ },
847
+ {
848
+ "epoch": 1.73,
849
+ "grad_norm": 47.826175689697266,
850
+ "learning_rate": 1.5066912899390323e-05,
851
+ "loss": 0.2776,
852
+ "step": 39000
853
+ },
854
+ {
855
+ "epoch": 1.73,
856
+ "eval_LOC_f1": 0.8417204029165086,
857
+ "eval_ORG_f1": 0.7461313828771049,
858
+ "eval_PER_f1": 0.8621870343195805,
859
+ "eval_loss": 0.2955803871154785,
860
+ "eval_overall_accuracy": 0.9141780043391887,
861
+ "eval_overall_f1": 0.8213932893138981,
862
+ "eval_overall_precision": 0.8195021231836067,
863
+ "eval_overall_recall": 0.8232932041266809,
864
+ "eval_runtime": 949.1162,
865
+ "eval_samples_per_second": 69.222,
866
+ "eval_steps_per_second": 0.271,
867
+ "step": 39000
868
+ },
869
+ {
870
+ "epoch": 1.77,
871
+ "grad_norm": 14.713150024414062,
872
+ "learning_rate": 1.4940423486554176e-05,
873
+ "loss": 0.2616,
874
+ "step": 40000
875
+ },
876
+ {
877
+ "epoch": 1.77,
878
+ "eval_LOC_f1": 0.8312933303965682,
879
+ "eval_ORG_f1": 0.738299968952903,
880
+ "eval_PER_f1": 0.8513267743278481,
881
+ "eval_loss": 0.29292425513267517,
882
+ "eval_overall_accuracy": 0.9104176452208262,
883
+ "eval_overall_f1": 0.8118819476942669,
884
+ "eval_overall_precision": 0.796034420507883,
885
+ "eval_overall_recall": 0.8283732798973026,
886
+ "eval_runtime": 908.7427,
887
+ "eval_samples_per_second": 72.298,
888
+ "eval_steps_per_second": 0.283,
889
+ "step": 40000
890
+ },
891
+ {
892
+ "epoch": 1.82,
893
+ "grad_norm": 16.184900283813477,
894
+ "learning_rate": 1.481393407371803e-05,
895
+ "loss": 0.2701,
896
+ "step": 41000
897
+ },
898
+ {
899
+ "epoch": 1.82,
900
+ "eval_LOC_f1": 0.8392716598242965,
901
+ "eval_ORG_f1": 0.74401776384535,
902
+ "eval_PER_f1": 0.8639952804501724,
903
+ "eval_loss": 0.2767677903175354,
904
+ "eval_overall_accuracy": 0.9163774213073009,
905
+ "eval_overall_f1": 0.8195078963845922,
906
+ "eval_overall_precision": 0.8094401856885441,
907
+ "eval_overall_recall": 0.8298292029995147,
908
+ "eval_runtime": 885.7415,
909
+ "eval_samples_per_second": 74.175,
910
+ "eval_steps_per_second": 0.29,
911
+ "step": 41000
912
+ },
913
+ {
914
+ "epoch": 1.86,
915
+ "grad_norm": 16.436620712280273,
916
+ "learning_rate": 1.4687444660881885e-05,
917
+ "loss": 0.2669,
918
+ "step": 42000
919
+ },
920
+ {
921
+ "epoch": 1.86,
922
+ "eval_LOC_f1": 0.8361988121287902,
923
+ "eval_ORG_f1": 0.7500968409804315,
924
+ "eval_PER_f1": 0.8611851501962505,
925
+ "eval_loss": 0.29421770572662354,
926
+ "eval_overall_accuracy": 0.9147995344962793,
927
+ "eval_overall_f1": 0.819935938895562,
928
+ "eval_overall_precision": 0.8067546477976939,
929
+ "eval_overall_recall": 0.833555113734208,
930
+ "eval_runtime": 886.1039,
931
+ "eval_samples_per_second": 74.145,
932
+ "eval_steps_per_second": 0.29,
933
+ "step": 42000
934
+ },
935
+ {
936
+ "epoch": 1.9,
937
+ "grad_norm": 4.060434341430664,
938
+ "learning_rate": 1.456095524804574e-05,
939
+ "loss": 0.2422,
940
+ "step": 43000
941
+ },
942
+ {
943
+ "epoch": 1.9,
944
+ "eval_LOC_f1": 0.8396598172309967,
945
+ "eval_ORG_f1": 0.752934357339516,
946
+ "eval_PER_f1": 0.8587656968190062,
947
+ "eval_loss": 0.29513150453567505,
948
+ "eval_overall_accuracy": 0.9147182001245772,
949
+ "eval_overall_f1": 0.8206534155814486,
950
+ "eval_overall_precision": 0.8120531232517684,
951
+ "eval_overall_recall": 0.8294378258215007,
952
+ "eval_runtime": 885.9872,
953
+ "eval_samples_per_second": 74.155,
954
+ "eval_steps_per_second": 0.29,
955
+ "step": 43000
956
+ },
957
+ {
958
+ "epoch": 1.95,
959
+ "grad_norm": 4.084081172943115,
960
+ "learning_rate": 1.4434465835209595e-05,
961
+ "loss": 0.2616,
962
+ "step": 44000
963
+ },
964
+ {
965
+ "epoch": 1.95,
966
+ "eval_LOC_f1": 0.8452747626229368,
967
+ "eval_ORG_f1": 0.7507735621040889,
968
+ "eval_PER_f1": 0.8679754713527367,
969
+ "eval_loss": 0.29186713695526123,
970
+ "eval_overall_accuracy": 0.915251618045657,
971
+ "eval_overall_f1": 0.8252959748971241,
972
+ "eval_overall_precision": 0.820965230928905,
973
+ "eval_overall_recall": 0.8296726521283091,
974
+ "eval_runtime": 886.49,
975
+ "eval_samples_per_second": 74.113,
976
+ "eval_steps_per_second": 0.29,
977
+ "step": 44000
978
+ },
979
+ {
980
+ "epoch": 1.99,
981
+ "grad_norm": 12.051443099975586,
982
+ "learning_rate": 1.4307976422373449e-05,
983
+ "loss": 0.2449,
984
+ "step": 45000
985
+ },
986
+ {
987
+ "epoch": 1.99,
988
+ "eval_LOC_f1": 0.8420882739030321,
989
+ "eval_ORG_f1": 0.7511743283897188,
990
+ "eval_PER_f1": 0.8660442600276625,
991
+ "eval_loss": 0.28106340765953064,
992
+ "eval_overall_accuracy": 0.9165787238772637,
993
+ "eval_overall_f1": 0.8232545031821703,
994
+ "eval_overall_precision": 0.823325400056368,
995
+ "eval_overall_recall": 0.8231836185168371,
996
+ "eval_runtime": 931.6188,
997
+ "eval_samples_per_second": 70.522,
998
+ "eval_steps_per_second": 0.276,
999
+ "step": 45000
1000
+ },
1001
+ {
1002
+ "epoch": 2.04,
1003
+ "grad_norm": 16.095355987548828,
1004
+ "learning_rate": 1.4181487009537302e-05,
1005
+ "loss": 0.2379,
1006
+ "step": 46000
1007
+ },
1008
+ {
1009
+ "epoch": 2.04,
1010
+ "eval_LOC_f1": 0.8334692878701362,
1011
+ "eval_ORG_f1": 0.7499450670182377,
1012
+ "eval_PER_f1": 0.8676157711285138,
1013
+ "eval_loss": 0.2910194396972656,
1014
+ "eval_overall_accuracy": 0.914796145564125,
1015
+ "eval_overall_f1": 0.821648434727601,
1016
+ "eval_overall_precision": 0.8099514821518198,
1017
+ "eval_overall_recall": 0.8336881819747327,
1018
+ "eval_runtime": 955.4465,
1019
+ "eval_samples_per_second": 68.764,
1020
+ "eval_steps_per_second": 0.269,
1021
+ "step": 46000
1022
+ },
1023
+ {
1024
+ "epoch": 2.08,
1025
+ "grad_norm": 6.1998419761657715,
1026
+ "learning_rate": 1.4054997596701157e-05,
1027
+ "loss": 0.2128,
1028
+ "step": 47000
1029
+ },
1030
+ {
1031
+ "epoch": 2.08,
1032
+ "eval_LOC_f1": 0.8394146138221968,
1033
+ "eval_ORG_f1": 0.7394133361546803,
1034
+ "eval_PER_f1": 0.864682724271338,
1035
+ "eval_loss": 0.30839666724205017,
1036
+ "eval_overall_accuracy": 0.9148042790012952,
1037
+ "eval_overall_f1": 0.8188789651986448,
1038
+ "eval_overall_precision": 0.8056906504249807,
1039
+ "eval_overall_recall": 0.8325062228971304,
1040
+ "eval_runtime": 901.3734,
1041
+ "eval_samples_per_second": 72.889,
1042
+ "eval_steps_per_second": 0.285,
1043
+ "step": 47000
1044
+ },
1045
+ {
1046
+ "epoch": 2.13,
1047
+ "grad_norm": 5.403193950653076,
1048
+ "learning_rate": 1.3928508183865012e-05,
1049
+ "loss": 0.2237,
1050
+ "step": 48000
1051
+ },
1052
+ {
1053
+ "epoch": 2.13,
1054
+ "eval_LOC_f1": 0.8372631513660468,
1055
+ "eval_ORG_f1": 0.7524156839779593,
1056
+ "eval_PER_f1": 0.8648470673721019,
1057
+ "eval_loss": 0.3043561279773712,
1058
+ "eval_overall_accuracy": 0.9152800850757528,
1059
+ "eval_overall_f1": 0.8220857007666829,
1060
+ "eval_overall_precision": 0.8082709895080826,
1061
+ "eval_overall_recall": 0.836380856959469,
1062
+ "eval_runtime": 884.5053,
1063
+ "eval_samples_per_second": 74.279,
1064
+ "eval_steps_per_second": 0.291,
1065
+ "step": 48000
1066
+ },
1067
+ {
1068
+ "epoch": 2.17,
1069
+ "grad_norm": 13.765303611755371,
1070
+ "learning_rate": 1.3802018771028867e-05,
1071
+ "loss": 0.2246,
1072
+ "step": 49000
1073
+ },
1074
+ {
1075
+ "epoch": 2.17,
1076
+ "eval_LOC_f1": 0.8349439826902872,
1077
+ "eval_ORG_f1": 0.7424747298710351,
1078
+ "eval_PER_f1": 0.859314059653789,
1079
+ "eval_loss": 0.28388652205467224,
1080
+ "eval_overall_accuracy": 0.9144118406578324,
1081
+ "eval_overall_f1": 0.817645207294658,
1082
+ "eval_overall_precision": 0.8118686576378439,
1083
+ "eval_overall_recall": 0.8235045478028086,
1084
+ "eval_runtime": 886.1908,
1085
+ "eval_samples_per_second": 74.138,
1086
+ "eval_steps_per_second": 0.29,
1087
+ "step": 49000
1088
+ },
1089
+ {
1090
+ "epoch": 2.21,
1091
+ "grad_norm": 26.609722137451172,
1092
+ "learning_rate": 1.3675529358192721e-05,
1093
+ "loss": 0.2231,
1094
+ "step": 50000
1095
+ },
1096
+ {
1097
+ "epoch": 2.21,
1098
+ "eval_LOC_f1": 0.8453938301706774,
1099
+ "eval_ORG_f1": 0.7530178399743618,
1100
+ "eval_PER_f1": 0.8633811603243918,
1101
+ "eval_loss": 0.30370599031448364,
1102
+ "eval_overall_accuracy": 0.9166329467917318,
1103
+ "eval_overall_f1": 0.8246776205110672,
1104
+ "eval_overall_precision": 0.8187134051793966,
1105
+ "eval_overall_recall": 0.8307293705089469,
1106
+ "eval_runtime": 885.5464,
1107
+ "eval_samples_per_second": 74.191,
1108
+ "eval_steps_per_second": 0.29,
1109
+ "step": 50000
1110
+ },
1111
+ {
1112
+ "epoch": 2.26,
1113
+ "grad_norm": 18.287857055664062,
1114
+ "learning_rate": 1.3549039945356574e-05,
1115
+ "loss": 0.2156,
1116
+ "step": 51000
1117
+ },
1118
+ {
1119
+ "epoch": 2.26,
1120
+ "eval_LOC_f1": 0.8369090369642839,
1121
+ "eval_ORG_f1": 0.7570827451034141,
1122
+ "eval_PER_f1": 0.8699436414871374,
1123
+ "eval_loss": 0.2922073304653168,
1124
+ "eval_overall_accuracy": 0.916367932297269,
1125
+ "eval_overall_f1": 0.8256348807545127,
1126
+ "eval_overall_precision": 0.8155410977732979,
1127
+ "eval_overall_recall": 0.8359816522378947,
1128
+ "eval_runtime": 885.263,
1129
+ "eval_samples_per_second": 74.215,
1130
+ "eval_steps_per_second": 0.29,
1131
+ "step": 51000
1132
+ },
1133
+ {
1134
+ "epoch": 2.3,
1135
+ "grad_norm": 35.76387405395508,
1136
+ "learning_rate": 1.3422550532520428e-05,
1137
+ "loss": 0.2279,
1138
+ "step": 52000
1139
+ },
1140
+ {
1141
+ "epoch": 2.3,
1142
+ "eval_LOC_f1": 0.8493380871850663,
1143
+ "eval_ORG_f1": 0.7652859960552268,
1144
+ "eval_PER_f1": 0.8658015544747966,
1145
+ "eval_loss": 0.30765289068222046,
1146
+ "eval_overall_accuracy": 0.9169528619870936,
1147
+ "eval_overall_f1": 0.8303520832274882,
1148
+ "eval_overall_precision": 0.8291563575626546,
1149
+ "eval_overall_recall": 0.8315512625827762,
1150
+ "eval_runtime": 939.0823,
1151
+ "eval_samples_per_second": 69.962,
1152
+ "eval_steps_per_second": 0.274,
1153
+ "step": 52000
1154
+ },
1155
+ {
1156
+ "epoch": 2.35,
1157
+ "grad_norm": 12.871335983276367,
1158
+ "learning_rate": 1.3296061119684283e-05,
1159
+ "loss": 0.2192,
1160
+ "step": 53000
1161
+ },
1162
+ {
1163
+ "epoch": 2.35,
1164
+ "eval_LOC_f1": 0.8450333357909482,
1165
+ "eval_ORG_f1": 0.7589152754918096,
1166
+ "eval_PER_f1": 0.8706159740642501,
1167
+ "eval_loss": 0.29916831851005554,
1168
+ "eval_overall_accuracy": 0.9182454007107268,
1169
+ "eval_overall_f1": 0.8283387559440156,
1170
+ "eval_overall_precision": 0.8151347746682732,
1171
+ "eval_overall_recall": 0.8419775506050691,
1172
+ "eval_runtime": 927.2359,
1173
+ "eval_samples_per_second": 70.856,
1174
+ "eval_steps_per_second": 0.277,
1175
+ "step": 53000
1176
+ },
1177
+ {
1178
+ "epoch": 2.39,
1179
+ "grad_norm": 12.074441909790039,
1180
+ "learning_rate": 1.3169571706848138e-05,
1181
+ "loss": 0.2199,
1182
+ "step": 54000
1183
+ },
1184
+ {
1185
+ "epoch": 2.39,
1186
+ "eval_LOC_f1": 0.845725804758205,
1187
+ "eval_ORG_f1": 0.7583743578767123,
1188
+ "eval_PER_f1": 0.8723780235920504,
1189
+ "eval_loss": 0.29886308312416077,
1190
+ "eval_overall_accuracy": 0.9192946141056846,
1191
+ "eval_overall_f1": 0.8293654188671028,
1192
+ "eval_overall_precision": 0.8241158649684679,
1193
+ "eval_overall_recall": 0.8346822800068883,
1194
+ "eval_runtime": 890.1649,
1195
+ "eval_samples_per_second": 73.807,
1196
+ "eval_steps_per_second": 0.289,
1197
+ "step": 54000
1198
+ },
1199
+ {
1200
+ "epoch": 2.43,
1201
+ "grad_norm": 23.149980545043945,
1202
+ "learning_rate": 1.3043082294011993e-05,
1203
+ "loss": 0.2255,
1204
+ "step": 55000
1205
+ },
1206
+ {
1207
+ "epoch": 2.43,
1208
+ "eval_LOC_f1": 0.8466151994355207,
1209
+ "eval_ORG_f1": 0.7544473410506125,
1210
+ "eval_PER_f1": 0.870403734801872,
1211
+ "eval_loss": 0.2841680943965912,
1212
+ "eval_overall_accuracy": 0.9179688638469395,
1213
+ "eval_overall_f1": 0.8283511691203761,
1214
+ "eval_overall_precision": 0.8183908572825472,
1215
+ "eval_overall_recall": 0.8385569140692268,
1216
+ "eval_runtime": 885.5261,
1217
+ "eval_samples_per_second": 74.193,
1218
+ "eval_steps_per_second": 0.29,
1219
+ "step": 55000
1220
+ },
1221
+ {
1222
+ "epoch": 2.48,
1223
+ "grad_norm": 9.740825653076172,
1224
+ "learning_rate": 1.2916592881175847e-05,
1225
+ "loss": 0.2166,
1226
+ "step": 56000
1227
+ },
1228
+ {
1229
+ "epoch": 2.48,
1230
+ "eval_LOC_f1": 0.8564384031559538,
1231
+ "eval_ORG_f1": 0.7616027673681177,
1232
+ "eval_PER_f1": 0.8733214429549507,
1233
+ "eval_loss": 0.2920551300048828,
1234
+ "eval_overall_accuracy": 0.9202286038073975,
1235
+ "eval_overall_f1": 0.8339421536254372,
1236
+ "eval_overall_precision": 0.8307068573159461,
1237
+ "eval_overall_recall": 0.8372027490332984,
1238
+ "eval_runtime": 885.9705,
1239
+ "eval_samples_per_second": 74.156,
1240
+ "eval_steps_per_second": 0.29,
1241
+ "step": 56000
1242
+ },
1243
+ {
1244
+ "epoch": 2.52,
1245
+ "grad_norm": 7.81465482711792,
1246
+ "learning_rate": 1.27901034683397e-05,
1247
+ "loss": 0.2195,
1248
+ "step": 57000
1249
+ },
1250
+ {
1251
+ "epoch": 2.52,
1252
+ "eval_LOC_f1": 0.8524520572659642,
1253
+ "eval_ORG_f1": 0.7654914529914529,
1254
+ "eval_PER_f1": 0.8711133515111243,
1255
+ "eval_loss": 0.2894265651702881,
1256
+ "eval_overall_accuracy": 0.9196877302355783,
1257
+ "eval_overall_f1": 0.8334080883643471,
1258
+ "eval_overall_precision": 0.8305412821928031,
1259
+ "eval_overall_recall": 0.836294753980306,
1260
+ "eval_runtime": 886.104,
1261
+ "eval_samples_per_second": 74.145,
1262
+ "eval_steps_per_second": 0.29,
1263
+ "step": 57000
1264
+ },
1265
+ {
1266
+ "epoch": 2.57,
1267
+ "grad_norm": 4.749297618865967,
1268
+ "learning_rate": 1.2663614055503555e-05,
1269
+ "loss": 0.2198,
1270
+ "step": 58000
1271
+ },
1272
+ {
1273
+ "epoch": 2.57,
1274
+ "eval_LOC_f1": 0.8479476339833629,
1275
+ "eval_ORG_f1": 0.7569071497897121,
1276
+ "eval_PER_f1": 0.8715211159515157,
1277
+ "eval_loss": 0.2978798449039459,
1278
+ "eval_overall_accuracy": 0.917242276793067,
1279
+ "eval_overall_f1": 0.8290111404616975,
1280
+ "eval_overall_precision": 0.8113011029852536,
1281
+ "eval_overall_recall": 0.847511623902187,
1282
+ "eval_runtime": 912.438,
1283
+ "eval_samples_per_second": 72.005,
1284
+ "eval_steps_per_second": 0.282,
1285
+ "step": 58000
1286
+ },
1287
+ {
1288
+ "epoch": 2.61,
1289
+ "grad_norm": 8.958308219909668,
1290
+ "learning_rate": 1.2537124642667409e-05,
1291
+ "loss": 0.2186,
1292
+ "step": 59000
1293
+ },
1294
+ {
1295
+ "epoch": 2.61,
1296
+ "eval_LOC_f1": 0.8410615339749197,
1297
+ "eval_ORG_f1": 0.7623071419893903,
1298
+ "eval_PER_f1": 0.8698487455846391,
1299
+ "eval_loss": 0.2916683554649353,
1300
+ "eval_overall_accuracy": 0.9165563569250457,
1301
+ "eval_overall_f1": 0.828324104278644,
1302
+ "eval_overall_precision": 0.8190848632805027,
1303
+ "eval_overall_recall": 0.8377741597131988,
1304
+ "eval_runtime": 949.686,
1305
+ "eval_samples_per_second": 69.181,
1306
+ "eval_steps_per_second": 0.271,
1307
+ "step": 59000
1308
+ },
1309
+ {
1310
+ "epoch": 2.66,
1311
+ "grad_norm": 2.5494885444641113,
1312
+ "learning_rate": 1.2410635229831265e-05,
1313
+ "loss": 0.2105,
1314
+ "step": 60000
1315
+ },
1316
+ {
1317
+ "epoch": 2.66,
1318
+ "eval_LOC_f1": 0.8486577670408396,
1319
+ "eval_ORG_f1": 0.7658020018726344,
1320
+ "eval_PER_f1": 0.8764428548203543,
1321
+ "eval_loss": 0.28897759318351746,
1322
+ "eval_overall_accuracy": 0.9185185486423599,
1323
+ "eval_overall_f1": 0.8335781872027352,
1324
+ "eval_overall_precision": 0.8256759558603319,
1325
+ "eval_overall_recall": 0.8416331386884168,
1326
+ "eval_runtime": 906.7935,
1327
+ "eval_samples_per_second": 72.453,
1328
+ "eval_steps_per_second": 0.283,
1329
+ "step": 60000
1330
+ },
1331
+ {
1332
+ "epoch": 2.7,
1333
+ "grad_norm": 2.0383992195129395,
1334
+ "learning_rate": 1.2284145816995119e-05,
1335
+ "loss": 0.2117,
1336
+ "step": 61000
1337
+ },
1338
+ {
1339
+ "epoch": 2.7,
1340
+ "eval_LOC_f1": 0.8508689748097309,
1341
+ "eval_ORG_f1": 0.7658278739306382,
1342
+ "eval_PER_f1": 0.8731916232956014,
1343
+ "eval_loss": 0.28091031312942505,
1344
+ "eval_overall_accuracy": 0.9196301183889559,
1345
+ "eval_overall_f1": 0.833681650059079,
1346
+ "eval_overall_precision": 0.8200686015431561,
1347
+ "eval_overall_recall": 0.8477542777525557,
1348
+ "eval_runtime": 885.0192,
1349
+ "eval_samples_per_second": 74.236,
1350
+ "eval_steps_per_second": 0.29,
1351
+ "step": 61000
1352
+ },
1353
+ {
1354
+ "epoch": 2.74,
1355
+ "grad_norm": 1.6501883268356323,
1356
+ "learning_rate": 1.2157656404158972e-05,
1357
+ "loss": 0.1994,
1358
+ "step": 62000
1359
+ },
1360
+ {
1361
+ "epoch": 2.74,
1362
+ "eval_LOC_f1": 0.8548620423851409,
1363
+ "eval_ORG_f1": 0.7666146057733736,
1364
+ "eval_PER_f1": 0.8740409497434966,
1365
+ "eval_loss": 0.267339825630188,
1366
+ "eval_overall_accuracy": 0.9214282857900041,
1367
+ "eval_overall_f1": 0.835940143844595,
1368
+ "eval_overall_precision": 0.8308500027062763,
1369
+ "eval_overall_recall": 0.8410930381827575,
1370
+ "eval_runtime": 886.6936,
1371
+ "eval_samples_per_second": 74.095,
1372
+ "eval_steps_per_second": 0.29,
1373
+ "step": 62000
1374
+ },
1375
+ {
1376
+ "epoch": 2.79,
1377
+ "grad_norm": 3.6416823863983154,
1378
+ "learning_rate": 1.2031166991322827e-05,
1379
+ "loss": 0.2075,
1380
+ "step": 63000
1381
+ },
1382
+ {
1383
+ "epoch": 2.79,
1384
+ "eval_LOC_f1": 0.8514531524204939,
1385
+ "eval_ORG_f1": 0.7741699019900634,
1386
+ "eval_PER_f1": 0.8762775257778839,
1387
+ "eval_loss": 0.2862880229949951,
1388
+ "eval_overall_accuracy": 0.9219467924096053,
1389
+ "eval_overall_f1": 0.8376946930582835,
1390
+ "eval_overall_precision": 0.8390993269298734,
1391
+ "eval_overall_recall": 0.836294753980306,
1392
+ "eval_runtime": 883.1341,
1393
+ "eval_samples_per_second": 74.394,
1394
+ "eval_steps_per_second": 0.291,
1395
+ "step": 63000
1396
+ },
1397
+ {
1398
+ "epoch": 2.83,
1399
+ "grad_norm": 3.767646312713623,
1400
+ "learning_rate": 1.1904677578486681e-05,
1401
+ "loss": 0.2144,
1402
+ "step": 64000
1403
+ },
1404
+ {
1405
+ "epoch": 2.83,
1406
+ "eval_LOC_f1": 0.8542264412564663,
1407
+ "eval_ORG_f1": 0.762882333169584,
1408
+ "eval_PER_f1": 0.8737852991218755,
1409
+ "eval_loss": 0.2919914424419403,
1410
+ "eval_overall_accuracy": 0.9192736027263282,
1411
+ "eval_overall_f1": 0.8335330637616842,
1412
+ "eval_overall_precision": 0.8234296712697055,
1413
+ "eval_overall_recall": 0.8438874712337774,
1414
+ "eval_runtime": 882.9236,
1415
+ "eval_samples_per_second": 74.412,
1416
+ "eval_steps_per_second": 0.291,
1417
+ "step": 64000
1418
+ },
1419
+ {
1420
+ "epoch": 2.88,
1421
+ "grad_norm": 1.2373511791229248,
1422
+ "learning_rate": 1.1778188165650538e-05,
1423
+ "loss": 0.2107,
1424
+ "step": 65000
1425
+ },
1426
+ {
1427
+ "epoch": 2.88,
1428
+ "eval_LOC_f1": 0.8536771728748805,
1429
+ "eval_ORG_f1": 0.7691218130311614,
1430
+ "eval_PER_f1": 0.8777075297286194,
1431
+ "eval_loss": 0.2956686019897461,
1432
+ "eval_overall_accuracy": 0.92124189452152,
1433
+ "eval_overall_f1": 0.8368564609614728,
1434
+ "eval_overall_precision": 0.8285232067510548,
1435
+ "eval_overall_recall": 0.84535904942311,
1436
+ "eval_runtime": 930.5121,
1437
+ "eval_samples_per_second": 70.606,
1438
+ "eval_steps_per_second": 0.276,
1439
+ "step": 65000
1440
+ },
1441
+ {
1442
+ "epoch": 2.92,
1443
+ "grad_norm": 13.250840187072754,
1444
+ "learning_rate": 1.1651698752814391e-05,
1445
+ "loss": 0.2133,
1446
+ "step": 66000
1447
+ },
1448
+ {
1449
+ "epoch": 2.92,
1450
+ "eval_LOC_f1": 0.8533000763334159,
1451
+ "eval_ORG_f1": 0.7736413979491799,
1452
+ "eval_PER_f1": 0.8740390436699679,
1453
+ "eval_loss": 0.2793155908584595,
1454
+ "eval_overall_accuracy": 0.9226618570941534,
1455
+ "eval_overall_f1": 0.8369070216139791,
1456
+ "eval_overall_precision": 0.8351781983723613,
1457
+ "eval_overall_recall": 0.8386430170483898,
1458
+ "eval_runtime": 953.5624,
1459
+ "eval_samples_per_second": 68.9,
1460
+ "eval_steps_per_second": 0.27,
1461
+ "step": 66000
1462
+ },
1463
+ {
1464
+ "epoch": 2.97,
1465
+ "grad_norm": 25.819507598876953,
1466
+ "learning_rate": 1.1525209339978245e-05,
1467
+ "loss": 0.2112,
1468
+ "step": 67000
1469
+ },
1470
+ {
1471
+ "epoch": 2.97,
1472
+ "eval_LOC_f1": 0.8548619072433559,
1473
+ "eval_ORG_f1": 0.7661784507158363,
1474
+ "eval_PER_f1": 0.8776364551402296,
1475
+ "eval_loss": 0.2820794880390167,
1476
+ "eval_overall_accuracy": 0.9220823496957755,
1477
+ "eval_overall_f1": 0.8374375390381013,
1478
+ "eval_overall_precision": 0.8353114340451381,
1479
+ "eval_overall_recall": 0.8395744947320631,
1480
+ "eval_runtime": 899.3376,
1481
+ "eval_samples_per_second": 73.054,
1482
+ "eval_steps_per_second": 0.286,
1483
+ "step": 67000
1484
+ },
1485
+ {
1486
+ "epoch": 3.01,
1487
+ "grad_norm": 13.493629455566406,
1488
+ "learning_rate": 1.13987199271421e-05,
1489
+ "loss": 0.1983,
1490
+ "step": 68000
1491
+ },
1492
+ {
1493
+ "epoch": 3.01,
1494
+ "eval_LOC_f1": 0.8558231253148143,
1495
+ "eval_ORG_f1": 0.7679850431851696,
1496
+ "eval_PER_f1": 0.8760919620026149,
1497
+ "eval_loss": 0.2852949798107147,
1498
+ "eval_overall_accuracy": 0.9224734324663767,
1499
+ "eval_overall_f1": 0.8365820844153812,
1500
+ "eval_overall_precision": 0.8359935591789517,
1501
+ "eval_overall_recall": 0.8371714388590572,
1502
+ "eval_runtime": 881.1865,
1503
+ "eval_samples_per_second": 74.559,
1504
+ "eval_steps_per_second": 0.292,
1505
+ "step": 68000
1506
  }
1507
  ],
1508
  "logging_steps": 1000,
 
1510
  "num_input_tokens_seen": 0,
1511
  "num_train_epochs": 7,
1512
  "save_steps": 500,
1513
+ "total_flos": 2.1809439865622904e+16,
1514
  "train_batch_size": 8,
1515
  "trial_name": null,
1516
  "trial_params": null