Hugging Face's logo

Check
/
vaw2tmp

TensorBoard
Model card Files
xet
 Metrics Community
Check commited on
Commit
193e1d7
·
1 Parent(s): 075aa28

"auto-commit"

Browse files
Files changed (19) hide show
  1. model-bin/finetune/base/{checkpoint-34466 → checkpoint-35089}/config.json +0 -0
  2. model-bin/finetune/base/{checkpoint-34466 → checkpoint-35089}/optimizer.pt +1 -1
  3. model-bin/finetune/base/{checkpoint-34466 → checkpoint-35089}/preprocessor_config.json +0 -0
  4. model-bin/finetune/base/{checkpoint-34466 → checkpoint-35089}/pytorch_model.bin +1 -1
  5. model-bin/finetune/base/{checkpoint-34466 → checkpoint-35089}/rng_state.pth +1 -1
  6. model-bin/finetune/base/{checkpoint-34466 → checkpoint-35089}/scaler.pt +1 -1
  7. model-bin/finetune/base/{checkpoint-34466 → checkpoint-35089}/scheduler.pt +1 -1
  8. model-bin/finetune/base/{checkpoint-34466 → checkpoint-35089}/trainer_state.json +420 -3
  9. model-bin/finetune/base/{checkpoint-34466 → checkpoint-35089}/training_args.bin +0 -0
  10. model-bin/finetune/base/log/1629655073.1770742/events.out.tfevents.1629655073.91f414e9573a.903.191 +3 -0
  11. model-bin/finetune/base/log/1629655736.752059/events.out.tfevents.1629655736.91f414e9573a.903.193 +3 -0
  12. model-bin/finetune/base/log/1629656395.8672695/events.out.tfevents.1629656395.91f414e9573a.903.195 +3 -0
  13. model-bin/finetune/base/log/1629657060.0632281/events.out.tfevents.1629657060.91f414e9573a.903.197 +3 -0
  14. model-bin/finetune/base/log/1629657711.0922391/events.out.tfevents.1629657711.91f414e9573a.903.199 +3 -0
  15. model-bin/finetune/base/log/events.out.tfevents.1629655073.91f414e9573a.903.190 +3 -0
  16. model-bin/finetune/base/log/events.out.tfevents.1629655736.91f414e9573a.903.192 +3 -0
  17. model-bin/finetune/base/log/events.out.tfevents.1629656395.91f414e9573a.903.194 +3 -0
  18. model-bin/finetune/base/log/events.out.tfevents.1629657060.91f414e9573a.903.196 +3 -0
  19. model-bin/finetune/base/log/events.out.tfevents.1629657711.91f414e9573a.903.198 +3 -0
model-bin/finetune/base/{checkpoint-34466 → checkpoint-35089}/config.json RENAMED
File without changes
model-bin/finetune/base/{checkpoint-34466 → checkpoint-35089}/optimizer.pt RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:54e5d4b62d076d7706403c43f3d911dda14a24fed0b62e4dfe4a411b67794ae4
3
  size 722165009
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2b7ccf75fb0a8cd6973a75b0f2135b6e28e1471153171802a2c291ff7c545a24
3
  size 722165009
model-bin/finetune/base/{checkpoint-34466 → checkpoint-35089}/preprocessor_config.json RENAMED
File without changes
model-bin/finetune/base/{checkpoint-34466 → checkpoint-35089}/pytorch_model.bin RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:2870fa68c9327c358c08db8f684ba8b84bb32e6784a09cbfb21e74d21e2239ee
3
  size 377909911
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f0031939c0d7f09517d16d136d4d8764f1a36e6146adac3b2f90cf36f4369e0c
3
  size 377909911
model-bin/finetune/base/{checkpoint-34466 → checkpoint-35089}/rng_state.pth RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c3abf278e08e091b125ef1cfed6a86bdb4e4f34ccb3045ada38644ba277dae7b
3
  size 14503
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:60a50710843be42b60babb7bfe9ea9b044956744072733afd4162e997e8992f5
3
  size 14503
model-bin/finetune/base/{checkpoint-34466 → checkpoint-35089}/scaler.pt RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c862b9c320e4bf6b87cd21078da8c93e03620b480fd3d470ebcd9d2b60dd8a6c
3
  size 559
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5b6989fbfe5cb09b4c9a8ded0149db5aefa89bd7d891be022ff5394c6e9d396a
3
  size 559
model-bin/finetune/base/{checkpoint-34466 → checkpoint-35089}/scheduler.pt RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:782694dffae77e741d7c7074465d7dd4963fd0a01bf72db18a10f713edf05a2b
3
  size 623
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0af58dd670853c9dba6891b6b72106ee889f99453ba1d8667bce4bd21cb05111
3
  size 623
model-bin/finetune/base/{checkpoint-34466 → checkpoint-35089}/trainer_state.json RENAMED
@@ -1,8 +1,8 @@
1
  {
2
  "best_metric": 0.20553532410779315,
3
  "best_model_checkpoint": "./model-bin/finetune/base/checkpoint-31352",
4
- "epoch": 275.0,
5
- "global_step": 34466,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
@@ -145455,11 +145455,428 @@
145455
  "eval_steps_per_second": 0.668,
145456
  "eval_wer": 0.21125762087055153,
145457
  "step": 34466
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
145458
  }
145459
  ],
145460
  "max_steps": 625000,
145461
  "num_train_epochs": 5000,
145462
- "total_flos": 9.69828256252031e+19,
145463
  "trial_name": null,
145464
  "trial_params": null
145465
  }
 
1
  {
2
  "best_metric": 0.20553532410779315,
3
  "best_model_checkpoint": "./model-bin/finetune/base/checkpoint-31352",
4
+ "epoch": 280.0,
5
+ "global_step": 35089,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
 
145455
  "eval_steps_per_second": 0.668,
145456
  "eval_wer": 0.21125762087055153,
145457
  "step": 34466
145458
+ },
145459
+ {
145460
+ "epoch": 277.03,
145461
+ "learning_rate": 9.459499192245558e-06,
145462
+ "loss": 0.398,
145463
+ "step": 34470
145464
+ },
145465
+ {
145466
+ "epoch": 277.11,
145467
+ "learning_rate": 9.459337641357028e-06,
145468
+ "loss": 0.3446,
145469
+ "step": 34480
145470
+ },
145471
+ {
145472
+ "epoch": 277.19,
145473
+ "learning_rate": 9.459176090468498e-06,
145474
+ "loss": 0.7643,
145475
+ "step": 34490
145476
+ },
145477
+ {
145478
+ "epoch": 277.27,
145479
+ "learning_rate": 9.459014539579968e-06,
145480
+ "loss": 0.508,
145481
+ "step": 34500
145482
+ },
145483
+ {
145484
+ "epoch": 277.35,
145485
+ "learning_rate": 9.458852988691438e-06,
145486
+ "loss": 0.4289,
145487
+ "step": 34510
145488
+ },
145489
+ {
145490
+ "epoch": 277.43,
145491
+ "learning_rate": 9.458691437802908e-06,
145492
+ "loss": 1.019,
145493
+ "step": 34520
145494
+ },
145495
+ {
145496
+ "epoch": 277.51,
145497
+ "learning_rate": 9.45852988691438e-06,
145498
+ "loss": 0.4443,
145499
+ "step": 34530
145500
+ },
145501
+ {
145502
+ "epoch": 277.59,
145503
+ "learning_rate": 9.45836833602585e-06,
145504
+ "loss": 0.7986,
145505
+ "step": 34540
145506
+ },
145507
+ {
145508
+ "epoch": 277.67,
145509
+ "learning_rate": 9.45820678513732e-06,
145510
+ "loss": 0.6529,
145511
+ "step": 34550
145512
+ },
145513
+ {
145514
+ "epoch": 277.76,
145515
+ "learning_rate": 9.458045234248789e-06,
145516
+ "loss": 0.4903,
145517
+ "step": 34560
145518
+ },
145519
+ {
145520
+ "epoch": 277.84,
145521
+ "learning_rate": 9.457883683360259e-06,
145522
+ "loss": 0.9535,
145523
+ "step": 34570
145524
+ },
145525
+ {
145526
+ "epoch": 277.92,
145527
+ "learning_rate": 9.457722132471729e-06,
145528
+ "loss": 0.3506,
145529
+ "step": 34580
145530
+ },
145531
+ {
145532
+ "epoch": 278.0,
145533
+ "learning_rate": 9.457560581583199e-06,
145534
+ "loss": 0.7956,
145535
+ "step": 34590
145536
+ },
145537
+ {
145538
+ "epoch": 278.0,
145539
+ "eval_loss": 0.47106048464775085,
145540
+ "eval_runtime": 39.0728,
145541
+ "eval_samples_per_second": 21.498,
145542
+ "eval_steps_per_second": 0.691,
145543
+ "eval_wer": 0.22074332678740272,
145544
+ "step": 34590
145545
+ },
145546
+ {
145547
+ "epoch": 278.08,
145548
+ "learning_rate": 9.457399030694669e-06,
145549
+ "loss": 0.4614,
145550
+ "step": 34600
145551
+ },
145552
+ {
145553
+ "epoch": 278.16,
145554
+ "learning_rate": 9.457237479806139e-06,
145555
+ "loss": 0.492,
145556
+ "step": 34610
145557
+ },
145558
+ {
145559
+ "epoch": 278.24,
145560
+ "learning_rate": 9.457075928917609e-06,
145561
+ "loss": 0.8883,
145562
+ "step": 34620
145563
+ },
145564
+ {
145565
+ "epoch": 278.32,
145566
+ "learning_rate": 9.456914378029079e-06,
145567
+ "loss": 0.4523,
145568
+ "step": 34630
145569
+ },
145570
+ {
145571
+ "epoch": 278.4,
145572
+ "learning_rate": 9.456752827140549e-06,
145573
+ "loss": 1.0363,
145574
+ "step": 34640
145575
+ },
145576
+ {
145577
+ "epoch": 278.48,
145578
+ "learning_rate": 9.45659127625202e-06,
145579
+ "loss": 0.4586,
145580
+ "step": 34650
145581
+ },
145582
+ {
145583
+ "epoch": 278.56,
145584
+ "learning_rate": 9.45642972536349e-06,
145585
+ "loss": 0.4212,
145586
+ "step": 34660
145587
+ },
145588
+ {
145589
+ "epoch": 278.65,
145590
+ "learning_rate": 9.45626817447496e-06,
145591
+ "loss": 0.8933,
145592
+ "step": 34670
145593
+ },
145594
+ {
145595
+ "epoch": 278.73,
145596
+ "learning_rate": 9.45610662358643e-06,
145597
+ "loss": 0.3541,
145598
+ "step": 34680
145599
+ },
145600
+ {
145601
+ "epoch": 278.81,
145602
+ "learning_rate": 9.4559450726979e-06,
145603
+ "loss": 0.9595,
145604
+ "step": 34690
145605
+ },
145606
+ {
145607
+ "epoch": 278.89,
145608
+ "learning_rate": 9.45578352180937e-06,
145609
+ "loss": 0.3844,
145610
+ "step": 34700
145611
+ },
145612
+ {
145613
+ "epoch": 278.97,
145614
+ "learning_rate": 9.45562197092084e-06,
145615
+ "loss": 0.5413,
145616
+ "step": 34710
145617
+ },
145618
+ {
145619
+ "epoch": 279.0,
145620
+ "eval_loss": 0.44936293363571167,
145621
+ "eval_runtime": 40.9824,
145622
+ "eval_samples_per_second": 20.497,
145623
+ "eval_steps_per_second": 0.659,
145624
+ "eval_wer": 0.20859569483086834,
145625
+ "step": 34714
145626
+ },
145627
+ {
145628
+ "epoch": 277.05,
145629
+ "learning_rate": 9.45546042003231e-06,
145630
+ "loss": 0.4372,
145631
+ "step": 34720
145632
+ },
145633
+ {
145634
+ "epoch": 277.13,
145635
+ "learning_rate": 9.45529886914378e-06,
145636
+ "loss": 0.4143,
145637
+ "step": 34730
145638
+ },
145639
+ {
145640
+ "epoch": 277.21,
145641
+ "learning_rate": 9.45513731825525e-06,
145642
+ "loss": 0.9652,
145643
+ "step": 34740
145644
+ },
145645
+ {
145646
+ "epoch": 277.29,
145647
+ "learning_rate": 9.45497576736672e-06,
145648
+ "loss": 0.3909,
145649
+ "step": 34750
145650
+ },
145651
+ {
145652
+ "epoch": 277.37,
145653
+ "learning_rate": 9.45481421647819e-06,
145654
+ "loss": 0.5008,
145655
+ "step": 34760
145656
+ },
145657
+ {
145658
+ "epoch": 277.45,
145659
+ "learning_rate": 9.454652665589662e-06,
145660
+ "loss": 0.8774,
145661
+ "step": 34770
145662
+ },
145663
+ {
145664
+ "epoch": 277.53,
145665
+ "learning_rate": 9.454491114701132e-06,
145666
+ "loss": 0.4069,
145667
+ "step": 34780
145668
+ },
145669
+ {
145670
+ "epoch": 277.61,
145671
+ "learning_rate": 9.454329563812602e-06,
145672
+ "loss": 0.9499,
145673
+ "step": 34790
145674
+ },
145675
+ {
145676
+ "epoch": 277.69,
145677
+ "learning_rate": 9.454168012924072e-06,
145678
+ "loss": 0.4378,
145679
+ "step": 34800
145680
+ },
145681
+ {
145682
+ "epoch": 277.76,
145683
+ "learning_rate": 9.454006462035542e-06,
145684
+ "loss": 0.5507,
145685
+ "step": 34810
145686
+ },
145687
+ {
145688
+ "epoch": 277.84,
145689
+ "learning_rate": 9.453844911147012e-06,
145690
+ "loss": 0.8021,
145691
+ "step": 34820
145692
+ },
145693
+ {
145694
+ "epoch": 277.92,
145695
+ "learning_rate": 9.453683360258482e-06,
145696
+ "loss": 0.421,
145697
+ "step": 34830
145698
+ },
145699
+ {
145700
+ "epoch": 278.0,
145701
+ "eval_loss": 0.44974467158317566,
145702
+ "eval_runtime": 41.9943,
145703
+ "eval_samples_per_second": 20.003,
145704
+ "eval_steps_per_second": 0.643,
145705
+ "eval_wer": 0.21562101685313695,
145706
+ "step": 34839
145707
+ },
145708
+ {
145709
+ "epoch": 278.01,
145710
+ "learning_rate": 9.453521809369952e-06,
145711
+ "loss": 0.4009,
145712
+ "step": 34840
145713
+ },
145714
+ {
145715
+ "epoch": 278.09,
145716
+ "learning_rate": 9.453360258481422e-06,
145717
+ "loss": 0.354,
145718
+ "step": 34850
145719
+ },
145720
+ {
145721
+ "epoch": 278.17,
145722
+ "learning_rate": 9.453198707592892e-06,
145723
+ "loss": 0.5836,
145724
+ "step": 34860
145725
+ },
145726
+ {
145727
+ "epoch": 278.25,
145728
+ "learning_rate": 9.453037156704362e-06,
145729
+ "loss": 0.8055,
145730
+ "step": 34870
145731
+ },
145732
+ {
145733
+ "epoch": 278.33,
145734
+ "learning_rate": 9.452875605815833e-06,
145735
+ "loss": 0.3897,
145736
+ "step": 34880
145737
+ },
145738
+ {
145739
+ "epoch": 278.41,
145740
+ "learning_rate": 9.452714054927303e-06,
145741
+ "loss": 0.8889,
145742
+ "step": 34890
145743
+ },
145744
+ {
145745
+ "epoch": 278.49,
145746
+ "learning_rate": 9.452552504038773e-06,
145747
+ "loss": 0.3605,
145748
+ "step": 34900
145749
+ },
145750
+ {
145751
+ "epoch": 278.57,
145752
+ "learning_rate": 9.452390953150243e-06,
145753
+ "loss": 0.5694,
145754
+ "step": 34910
145755
+ },
145756
+ {
145757
+ "epoch": 278.65,
145758
+ "learning_rate": 9.452229402261713e-06,
145759
+ "loss": 0.8611,
145760
+ "step": 34920
145761
+ },
145762
+ {
145763
+ "epoch": 278.73,
145764
+ "learning_rate": 9.452067851373183e-06,
145765
+ "loss": 0.3709,
145766
+ "step": 34930
145767
+ },
145768
+ {
145769
+ "epoch": 278.81,
145770
+ "learning_rate": 9.451906300484653e-06,
145771
+ "loss": 1.0378,
145772
+ "step": 34940
145773
+ },
145774
+ {
145775
+ "epoch": 278.89,
145776
+ "learning_rate": 9.451744749596123e-06,
145777
+ "loss": 0.4121,
145778
+ "step": 34950
145779
+ },
145780
+ {
145781
+ "epoch": 278.97,
145782
+ "learning_rate": 9.451583198707593e-06,
145783
+ "loss": 0.52,
145784
+ "step": 34960
145785
+ },
145786
+ {
145787
+ "epoch": 279.0,
145788
+ "eval_loss": 0.4890381693840027,
145789
+ "eval_runtime": 41.6239,
145790
+ "eval_samples_per_second": 20.181,
145791
+ "eval_steps_per_second": 0.649,
145792
+ "eval_wer": 0.21418606358763492,
145793
+ "step": 34964
145794
+ },
145795
+ {
145796
+ "epoch": 279.05,
145797
+ "learning_rate": 9.451421647819063e-06,
145798
+ "loss": 0.411,
145799
+ "step": 34970
145800
+ },
145801
+ {
145802
+ "epoch": 279.13,
145803
+ "learning_rate": 9.451260096930533e-06,
145804
+ "loss": 0.3639,
145805
+ "step": 34980
145806
+ },
145807
+ {
145808
+ "epoch": 279.21,
145809
+ "learning_rate": 9.451098546042003e-06,
145810
+ "loss": 0.9177,
145811
+ "step": 34990
145812
+ },
145813
+ {
145814
+ "epoch": 279.29,
145815
+ "learning_rate": 9.450936995153475e-06,
145816
+ "loss": 0.3968,
145817
+ "step": 35000
145818
+ },
145819
+ {
145820
+ "epoch": 279.37,
145821
+ "learning_rate": 9.450775444264945e-06,
145822
+ "loss": 0.4936,
145823
+ "step": 35010
145824
+ },
145825
+ {
145826
+ "epoch": 279.45,
145827
+ "learning_rate": 9.450613893376415e-06,
145828
+ "loss": 0.752,
145829
+ "step": 35020
145830
+ },
145831
+ {
145832
+ "epoch": 279.53,
145833
+ "learning_rate": 9.450452342487885e-06,
145834
+ "loss": 0.3561,
145835
+ "step": 35030
145836
+ },
145837
+ {
145838
+ "epoch": 279.61,
145839
+ "learning_rate": 9.450290791599355e-06,
145840
+ "loss": 0.9112,
145841
+ "step": 35040
145842
+ },
145843
+ {
145844
+ "epoch": 279.69,
145845
+ "learning_rate": 9.450129240710825e-06,
145846
+ "loss": 0.387,
145847
+ "step": 35050
145848
+ },
145849
+ {
145850
+ "epoch": 279.77,
145851
+ "learning_rate": 9.449967689822295e-06,
145852
+ "loss": 0.4869,
145853
+ "step": 35060
145854
+ },
145855
+ {
145856
+ "epoch": 279.85,
145857
+ "learning_rate": 9.449806138933765e-06,
145858
+ "loss": 0.944,
145859
+ "step": 35070
145860
+ },
145861
+ {
145862
+ "epoch": 279.93,
145863
+ "learning_rate": 9.449644588045235e-06,
145864
+ "loss": 0.4055,
145865
+ "step": 35080
145866
+ },
145867
+ {
145868
+ "epoch": 280.0,
145869
+ "eval_loss": 0.449998140335083,
145870
+ "eval_runtime": 41.0711,
145871
+ "eval_samples_per_second": 20.477,
145872
+ "eval_steps_per_second": 0.657,
145873
+ "eval_wer": 0.22463930627195933,
145874
+ "step": 35089
145875
  }
145876
  ],
145877
  "max_steps": 625000,
145878
  "num_train_epochs": 5000,
145879
+ "total_flos": 9.873541921860372e+19,
145880
  "trial_name": null,
145881
  "trial_params": null
145882
  }
model-bin/finetune/base/{checkpoint-34466 → checkpoint-35089}/training_args.bin RENAMED
File without changes
model-bin/finetune/base/log/1629655073.1770742/events.out.tfevents.1629655073.91f414e9573a.903.191 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7114a122a6becb6476b72dda9fad8befe26118bf5900b7a1ee44eff5c1fab0dd
3
+ size 4194
model-bin/finetune/base/log/1629655736.752059/events.out.tfevents.1629655736.91f414e9573a.903.193 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7fa39c0bd898d2be08f50769631836422e038cc67792a759cea50c5be0b95329
3
+ size 4194
model-bin/finetune/base/log/1629656395.8672695/events.out.tfevents.1629656395.91f414e9573a.903.195 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f263681b0eacf3e3bc4f50e2fe1947547a9c19f8c2de0fbece3599ad979b9f41
3
+ size 4194
model-bin/finetune/base/log/1629657060.0632281/events.out.tfevents.1629657060.91f414e9573a.903.197 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8420c56273b57f3d07401e271d1a5a2b954dac2d9246d7931b77a52cfefb2c20
3
+ size 4194
model-bin/finetune/base/log/1629657711.0922391/events.out.tfevents.1629657711.91f414e9573a.903.199 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cca3fae84eab67a8e5b9bf3fe62e0de6157299b05e5c7c73f1a3240d46c92fd8
3
+ size 4194
model-bin/finetune/base/log/events.out.tfevents.1629655073.91f414e9573a.903.190 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5d48fdcac68c1a9c3e59dd50fb88221b2d408c0a5f3d334bab4623c75538d63e
3
+ size 6703
model-bin/finetune/base/log/events.out.tfevents.1629655736.91f414e9573a.903.192 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6bc34c508c22ac6a31d7684cea732ca78106dc3e63e0b11882d6625317bca69a
3
+ size 6543
model-bin/finetune/base/log/events.out.tfevents.1629656395.91f414e9573a.903.194 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2133f8b1b0eed9ab5507c94c998a4f547de05f5fa9c12235332901908dc6d099
3
+ size 6543
model-bin/finetune/base/log/events.out.tfevents.1629657060.91f414e9573a.903.196 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:428bcc4fb9685d86cf7b13963afb1db044bf5321779a9d6ba261641ee08b71b0
3
+ size 6703
model-bin/finetune/base/log/events.out.tfevents.1629657711.91f414e9573a.903.198 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:983dd55fc43f6952f88f09fa7ffd33baf4ab95b45176e3109041f2af4667b9b8
3
+ size 6543