TensorBoard
Safetensors
English
llama
appvoid commited on
Commit
60ceab5
·
verified ·
1 Parent(s): 2683483

Training in progress, step 47000, checkpoint

Browse files
last-checkpoint/model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f13565f10bec04a32788b51955784b6c8ad6af8c5a72ea32087ed5a6c173e53b
3
  size 140637408
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7f0ee59efb89be6c8c2f2da1a15ad64aea84eb23e30ffc79e933c5c95c4b71ed
3
  size 140637408
last-checkpoint/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e82549eff5ebe3d9ce68c5e9124cb8ff4ece4c4b568e8a1e3c4d5d4f502233d0
3
  size 281362507
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d5613fd93a6eef63cc579895de48170bbf1a18d8c1d7e673913762c125aa187c
3
  size 281362507
last-checkpoint/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1da75bced15d0c0ad08ac6f92e20da81e67fff47141ca76354909981931d2e09
3
  size 14645
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fb096c09a5ceae5902cef83e88874ae4114869833d2337c185f133bf18eb7ed2
3
  size 14645
last-checkpoint/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ad90a43f66fabf6fc4d5d455d59e7d1cf3e1317fdb4e5836c7efe0c48a8cada7
3
  size 1465
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e15e095d88bb49dabc1d3b5734aa85480dc84afb235f317f103ea6bed7007201
3
  size 1465
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": 0.6094843631216085,
6
  "eval_steps": 500,
7
- "global_step": 46500,
8
  "is_hyper_param_search": false,
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
@@ -33395,6 +33395,365 @@
33395
  "eval_samples_per_second": 32.9,
33396
  "eval_steps_per_second": 0.526,
33397
  "step": 46500
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
33398
  }
33399
  ],
33400
  "logging_steps": 10,
@@ -33414,7 +33773,7 @@
33414
  "attributes": {}
33415
  }
33416
  },
33417
- "total_flos": 8.36246691643392e+17,
33418
  "train_batch_size": 128,
33419
  "trial_name": null,
33420
  "trial_params": null
 
2
  "best_global_step": null,
3
  "best_metric": null,
4
  "best_model_checkpoint": null,
5
+ "epoch": 0.6160379584239914,
6
  "eval_steps": 500,
7
+ "global_step": 47000,
8
  "is_hyper_param_search": false,
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
 
33395
  "eval_samples_per_second": 32.9,
33396
  "eval_steps_per_second": 0.526,
33397
  "step": 46500
33398
+ },
33399
+ {
33400
+ "epoch": 0.6096154350276561,
33401
+ "grad_norm": 0.7248334288597107,
33402
+ "learning_rate": 0.00010050970265938755,
33403
+ "loss": 3.2191,
33404
+ "step": 46510
33405
+ },
33406
+ {
33407
+ "epoch": 0.6097465069337038,
33408
+ "grad_norm": 0.6939072608947754,
33409
+ "learning_rate": 0.0001004510147745937,
33410
+ "loss": 3.2081,
33411
+ "step": 46520
33412
+ },
33413
+ {
33414
+ "epoch": 0.6098775788397515,
33415
+ "grad_norm": 0.6874194145202637,
33416
+ "learning_rate": 0.00010039233540245125,
33417
+ "loss": 3.2095,
33418
+ "step": 46530
33419
+ },
33420
+ {
33421
+ "epoch": 0.6100086507457991,
33422
+ "grad_norm": 0.6661149859428406,
33423
+ "learning_rate": 0.00010033366455304145,
33424
+ "loss": 3.212,
33425
+ "step": 46540
33426
+ },
33427
+ {
33428
+ "epoch": 0.6101397226518468,
33429
+ "grad_norm": 0.6120688915252686,
33430
+ "learning_rate": 0.00010027500223644424,
33431
+ "loss": 3.2682,
33432
+ "step": 46550
33433
+ },
33434
+ {
33435
+ "epoch": 0.6102707945578945,
33436
+ "grad_norm": 0.6188989281654358,
33437
+ "learning_rate": 0.00010021634846273775,
33438
+ "loss": 3.2536,
33439
+ "step": 46560
33440
+ },
33441
+ {
33442
+ "epoch": 0.6104018664639421,
33443
+ "grad_norm": 0.677006721496582,
33444
+ "learning_rate": 0.00010015770324199903,
33445
+ "loss": 3.2352,
33446
+ "step": 46570
33447
+ },
33448
+ {
33449
+ "epoch": 0.6105329383699898,
33450
+ "grad_norm": 0.5996061563491821,
33451
+ "learning_rate": 0.00010009906658430341,
33452
+ "loss": 3.235,
33453
+ "step": 46580
33454
+ },
33455
+ {
33456
+ "epoch": 0.6106640102760374,
33457
+ "grad_norm": 0.7179942727088928,
33458
+ "learning_rate": 0.00010004043849972489,
33459
+ "loss": 3.1978,
33460
+ "step": 46590
33461
+ },
33462
+ {
33463
+ "epoch": 0.6107950821820851,
33464
+ "grad_norm": 0.6874227523803711,
33465
+ "learning_rate": 9.998181899833583e-05,
33466
+ "loss": 3.1724,
33467
+ "step": 46600
33468
+ },
33469
+ {
33470
+ "epoch": 0.6109261540881328,
33471
+ "grad_norm": 0.7165815830230713,
33472
+ "learning_rate": 9.99232080902073e-05,
33473
+ "loss": 3.1896,
33474
+ "step": 46610
33475
+ },
33476
+ {
33477
+ "epoch": 0.6110572259941804,
33478
+ "grad_norm": 0.6888381242752075,
33479
+ "learning_rate": 9.986460578540886e-05,
33480
+ "loss": 3.2641,
33481
+ "step": 46620
33482
+ },
33483
+ {
33484
+ "epoch": 0.6111882979002281,
33485
+ "grad_norm": 0.7022085785865784,
33486
+ "learning_rate": 9.980601209400843e-05,
33487
+ "loss": 3.2582,
33488
+ "step": 46630
33489
+ },
33490
+ {
33491
+ "epoch": 0.6113193698062758,
33492
+ "grad_norm": 0.6943024396896362,
33493
+ "learning_rate": 9.974742702607262e-05,
33494
+ "loss": 3.1946,
33495
+ "step": 46640
33496
+ },
33497
+ {
33498
+ "epoch": 0.6114504417123234,
33499
+ "grad_norm": 0.6320481896400452,
33500
+ "learning_rate": 9.968885059166653e-05,
33501
+ "loss": 3.2411,
33502
+ "step": 46650
33503
+ },
33504
+ {
33505
+ "epoch": 0.611581513618371,
33506
+ "grad_norm": 0.6720809936523438,
33507
+ "learning_rate": 9.963028280085373e-05,
33508
+ "loss": 3.2235,
33509
+ "step": 46660
33510
+ },
33511
+ {
33512
+ "epoch": 0.6117125855244187,
33513
+ "grad_norm": 0.6375182867050171,
33514
+ "learning_rate": 9.957172366369632e-05,
33515
+ "loss": 3.2466,
33516
+ "step": 46670
33517
+ },
33518
+ {
33519
+ "epoch": 0.6118436574304663,
33520
+ "grad_norm": 0.6096304655075073,
33521
+ "learning_rate": 9.951317319025491e-05,
33522
+ "loss": 3.228,
33523
+ "step": 46680
33524
+ },
33525
+ {
33526
+ "epoch": 0.611974729336514,
33527
+ "grad_norm": 0.6518574953079224,
33528
+ "learning_rate": 9.945463139058867e-05,
33529
+ "loss": 3.2361,
33530
+ "step": 46690
33531
+ },
33532
+ {
33533
+ "epoch": 0.6121058012425616,
33534
+ "grad_norm": 0.7310232520103455,
33535
+ "learning_rate": 9.939609827475524e-05,
33536
+ "loss": 3.2229,
33537
+ "step": 46700
33538
+ },
33539
+ {
33540
+ "epoch": 0.6122368731486093,
33541
+ "grad_norm": 0.5949954986572266,
33542
+ "learning_rate": 9.933757385281073e-05,
33543
+ "loss": 3.2449,
33544
+ "step": 46710
33545
+ },
33546
+ {
33547
+ "epoch": 0.612367945054657,
33548
+ "grad_norm": 0.6023111343383789,
33549
+ "learning_rate": 9.927905813480977e-05,
33550
+ "loss": 3.2233,
33551
+ "step": 46720
33552
+ },
33553
+ {
33554
+ "epoch": 0.6124990169607046,
33555
+ "grad_norm": 0.6577599048614502,
33556
+ "learning_rate": 9.922055113080565e-05,
33557
+ "loss": 3.2113,
33558
+ "step": 46730
33559
+ },
33560
+ {
33561
+ "epoch": 0.6126300888667523,
33562
+ "grad_norm": 0.6531931161880493,
33563
+ "learning_rate": 9.91620528508499e-05,
33564
+ "loss": 3.2246,
33565
+ "step": 46740
33566
+ },
33567
+ {
33568
+ "epoch": 0.6127611607728,
33569
+ "grad_norm": 0.7038547396659851,
33570
+ "learning_rate": 9.910356330499277e-05,
33571
+ "loss": 3.2321,
33572
+ "step": 46750
33573
+ },
33574
+ {
33575
+ "epoch": 0.6128922326788476,
33576
+ "grad_norm": 0.838652491569519,
33577
+ "learning_rate": 9.904508250328285e-05,
33578
+ "loss": 3.2985,
33579
+ "step": 46760
33580
+ },
33581
+ {
33582
+ "epoch": 0.6130233045848953,
33583
+ "grad_norm": 0.6685378551483154,
33584
+ "learning_rate": 9.89866104557674e-05,
33585
+ "loss": 3.2357,
33586
+ "step": 46770
33587
+ },
33588
+ {
33589
+ "epoch": 0.613154376490943,
33590
+ "grad_norm": 0.7856571078300476,
33591
+ "learning_rate": 9.892814717249197e-05,
33592
+ "loss": 3.2264,
33593
+ "step": 46780
33594
+ },
33595
+ {
33596
+ "epoch": 0.6132854483969906,
33597
+ "grad_norm": 0.6753517389297485,
33598
+ "learning_rate": 9.886969266350074e-05,
33599
+ "loss": 3.2112,
33600
+ "step": 46790
33601
+ },
33602
+ {
33603
+ "epoch": 0.6134165203030383,
33604
+ "grad_norm": 0.6568011045455933,
33605
+ "learning_rate": 9.881124693883639e-05,
33606
+ "loss": 3.2281,
33607
+ "step": 46800
33608
+ },
33609
+ {
33610
+ "epoch": 0.613547592209086,
33611
+ "grad_norm": 0.707349956035614,
33612
+ "learning_rate": 9.875281000854009e-05,
33613
+ "loss": 3.2872,
33614
+ "step": 46810
33615
+ },
33616
+ {
33617
+ "epoch": 0.6136786641151336,
33618
+ "grad_norm": 0.7462494373321533,
33619
+ "learning_rate": 9.869438188265137e-05,
33620
+ "loss": 3.2561,
33621
+ "step": 46820
33622
+ },
33623
+ {
33624
+ "epoch": 0.6138097360211813,
33625
+ "grad_norm": 0.6671332716941833,
33626
+ "learning_rate": 9.863596257120843e-05,
33627
+ "loss": 3.2462,
33628
+ "step": 46830
33629
+ },
33630
+ {
33631
+ "epoch": 0.6139408079272288,
33632
+ "grad_norm": 0.7925904393196106,
33633
+ "learning_rate": 9.857755208424777e-05,
33634
+ "loss": 3.2392,
33635
+ "step": 46840
33636
+ },
33637
+ {
33638
+ "epoch": 0.6140718798332765,
33639
+ "grad_norm": 0.6601688861846924,
33640
+ "learning_rate": 9.851915043180461e-05,
33641
+ "loss": 3.2442,
33642
+ "step": 46850
33643
+ },
33644
+ {
33645
+ "epoch": 0.6142029517393242,
33646
+ "grad_norm": 0.7439512610435486,
33647
+ "learning_rate": 9.846075762391234e-05,
33648
+ "loss": 3.2471,
33649
+ "step": 46860
33650
+ },
33651
+ {
33652
+ "epoch": 0.6143340236453718,
33653
+ "grad_norm": 0.5951361656188965,
33654
+ "learning_rate": 9.840237367060314e-05,
33655
+ "loss": 3.2039,
33656
+ "step": 46870
33657
+ },
33658
+ {
33659
+ "epoch": 0.6144650955514195,
33660
+ "grad_norm": 0.5695250034332275,
33661
+ "learning_rate": 9.834399858190753e-05,
33662
+ "loss": 3.2369,
33663
+ "step": 46880
33664
+ },
33665
+ {
33666
+ "epoch": 0.6145961674574671,
33667
+ "grad_norm": 0.6092811822891235,
33668
+ "learning_rate": 9.828563236785441e-05,
33669
+ "loss": 3.2454,
33670
+ "step": 46890
33671
+ },
33672
+ {
33673
+ "epoch": 0.6147272393635148,
33674
+ "grad_norm": 0.6412503719329834,
33675
+ "learning_rate": 9.822727503847131e-05,
33676
+ "loss": 3.2488,
33677
+ "step": 46900
33678
+ },
33679
+ {
33680
+ "epoch": 0.6148583112695625,
33681
+ "grad_norm": 0.6511025428771973,
33682
+ "learning_rate": 9.816892660378418e-05,
33683
+ "loss": 3.2716,
33684
+ "step": 46910
33685
+ },
33686
+ {
33687
+ "epoch": 0.6149893831756101,
33688
+ "grad_norm": 0.6001058220863342,
33689
+ "learning_rate": 9.81105870738175e-05,
33690
+ "loss": 3.2538,
33691
+ "step": 46920
33692
+ },
33693
+ {
33694
+ "epoch": 0.6151204550816578,
33695
+ "grad_norm": 0.6340818405151367,
33696
+ "learning_rate": 9.805225645859406e-05,
33697
+ "loss": 3.1722,
33698
+ "step": 46930
33699
+ },
33700
+ {
33701
+ "epoch": 0.6152515269877055,
33702
+ "grad_norm": 0.6574063897132874,
33703
+ "learning_rate": 9.79939347681353e-05,
33704
+ "loss": 3.2109,
33705
+ "step": 46940
33706
+ },
33707
+ {
33708
+ "epoch": 0.6153825988937531,
33709
+ "grad_norm": 0.6378859877586365,
33710
+ "learning_rate": 9.793562201246096e-05,
33711
+ "loss": 3.1795,
33712
+ "step": 46950
33713
+ },
33714
+ {
33715
+ "epoch": 0.6155136707998008,
33716
+ "grad_norm": 0.6317182779312134,
33717
+ "learning_rate": 9.787731820158948e-05,
33718
+ "loss": 3.2079,
33719
+ "step": 46960
33720
+ },
33721
+ {
33722
+ "epoch": 0.6156447427058485,
33723
+ "grad_norm": 0.6875243782997131,
33724
+ "learning_rate": 9.781902334553744e-05,
33725
+ "loss": 3.1947,
33726
+ "step": 46970
33727
+ },
33728
+ {
33729
+ "epoch": 0.6157758146118961,
33730
+ "grad_norm": 0.6557679772377014,
33731
+ "learning_rate": 9.776073745432013e-05,
33732
+ "loss": 3.2715,
33733
+ "step": 46980
33734
+ },
33735
+ {
33736
+ "epoch": 0.6159068865179438,
33737
+ "grad_norm": 0.7047168612480164,
33738
+ "learning_rate": 9.770246053795127e-05,
33739
+ "loss": 3.3205,
33740
+ "step": 46990
33741
+ },
33742
+ {
33743
+ "epoch": 0.6160379584239914,
33744
+ "grad_norm": 0.627339243888855,
33745
+ "learning_rate": 9.764419260644292e-05,
33746
+ "loss": 3.2086,
33747
+ "step": 47000
33748
+ },
33749
+ {
33750
+ "epoch": 0.6160379584239914,
33751
+ "eval_accuracy": 0.39909970674486805,
33752
+ "eval_loss": 3.2312915325164795,
33753
+ "eval_runtime": 60.0193,
33754
+ "eval_samples_per_second": 33.323,
33755
+ "eval_steps_per_second": 0.533,
33756
+ "step": 47000
33757
  }
33758
  ],
33759
  "logging_steps": 10,
 
33773
  "attributes": {}
33774
  }
33775
  },
33776
+ "total_flos": 8.45238591553536e+17,
33777
  "train_batch_size": 128,
33778
  "trial_name": null,
33779
  "trial_params": null