tokomni-whisper-i4 / README.md
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metadata
language:
  - he
license: apache-2.0
library_name: peft
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - imvladikon/hebrew_speech_kan
base_model: openai/whisper-tiny
model-index:
  - name: TK_Whisper_ASR
    results: []

TK_Whisper_ASR

This model is a fine-tuned version of openai/whisper-tiny on the KAN Hebrew Speech dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0014

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • training_steps: 1000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 1 6.4006
No log 2.0 2 6.4006
No log 3.0 3 6.4006
No log 4.0 4 6.4006
No log 5.0 5 6.4006
No log 6.0 6 6.3986
No log 7.0 7 6.3959
No log 8.0 8 6.3931
No log 9.0 9 6.3782
No log 10.0 10 6.3632
No log 11.0 11 6.3527
No log 12.0 12 6.3211
No log 13.0 13 6.2838
No log 14.0 14 6.2423
No log 15.0 15 6.2010
No log 16.0 16 6.1537
No log 17.0 17 6.1190
No log 18.0 18 6.0642
No log 19.0 19 6.0178
No log 20.0 20 5.9691
No log 21.0 21 5.9257
No log 22.0 22 5.8809
No log 23.0 23 5.8292
No log 24.0 24 5.7777
6.7327 25.0 25 5.7303
6.7327 26.0 26 5.6739
6.7327 27.0 27 5.6210
6.7327 28.0 28 5.5624
6.7327 29.0 29 5.5025
6.7327 30.0 30 5.4445
6.7327 31.0 31 5.3814
6.7327 32.0 32 5.3206
6.7327 33.0 33 5.2617
6.7327 34.0 34 5.2036
6.7327 35.0 35 5.1422
6.7327 36.0 36 5.0764
6.7327 37.0 37 5.0193
6.7327 38.0 38 4.9537
6.7327 39.0 39 4.8884
6.7327 40.0 40 4.8221
6.7327 41.0 41 4.7580
6.7327 42.0 42 4.6963
6.7327 43.0 43 4.6376
6.7327 44.0 44 4.5762
6.7327 45.0 45 4.5220
6.7327 46.0 46 4.4687
6.7327 47.0 47 4.4162
6.7327 48.0 48 4.3698
6.7327 49.0 49 4.3203
5.2517 50.0 50 4.2743
5.2517 51.0 51 4.2283
5.2517 52.0 52 4.1788
5.2517 53.0 53 4.1300
5.2517 54.0 54 4.0796
5.2517 55.0 55 4.0311
5.2517 56.0 56 3.9810
5.2517 57.0 57 3.9310
5.2517 58.0 58 3.8865
5.2517 59.0 59 3.8385
5.2517 60.0 60 3.7945
5.2517 61.0 61 3.7523
5.2517 62.0 62 3.7092
5.2517 63.0 63 3.6649
5.2517 64.0 64 3.6169
5.2517 65.0 65 3.5726
5.2517 66.0 66 3.5229
5.2517 67.0 67 3.4758
5.2517 68.0 68 3.4288
5.2517 69.0 69 3.3785
5.2517 70.0 70 3.3324
5.2517 71.0 71 3.2825
5.2517 72.0 72 3.2360
5.2517 73.0 73 3.1891
5.2517 74.0 74 3.1395
3.6925 75.0 75 3.0923
3.6925 76.0 76 3.0462
3.6925 77.0 77 2.9978
3.6925 78.0 78 2.9504
3.6925 79.0 79 2.9017
3.6925 80.0 80 2.8556
3.6925 81.0 81 2.8076
3.6925 82.0 82 2.7623
3.6925 83.0 83 2.7168
3.6925 84.0 84 2.6698
3.6925 85.0 85 2.6239
3.6925 86.0 86 2.5783
3.6925 87.0 87 2.5324
3.6925 88.0 88 2.4860
3.6925 89.0 89 2.4418
3.6925 90.0 90 2.3981
3.6925 91.0 91 2.3525
3.6925 92.0 92 2.3080
3.6925 93.0 93 2.2622
3.6925 94.0 94 2.2183
3.6925 95.0 95 2.1733
3.6925 96.0 96 2.1270
3.6925 97.0 97 2.0812
3.6925 98.0 98 2.0354
3.6925 99.0 99 1.9909
2.4328 100.0 100 1.9459
2.4328 101.0 101 1.9001
2.4328 102.0 102 1.8566
2.4328 103.0 103 1.8128
2.4328 104.0 104 1.7672
2.4328 105.0 105 1.7220
2.4328 106.0 106 1.6780
2.4328 107.0 107 1.6362
2.4328 108.0 108 1.5916
2.4328 109.0 109 1.5497
2.4328 110.0 110 1.5068
2.4328 111.0 111 1.4659
2.4328 112.0 112 1.4247
2.4328 113.0 113 1.3846
2.4328 114.0 114 1.3469
2.4328 115.0 115 1.3076
2.4328 116.0 116 1.2729
2.4328 117.0 117 1.2383
2.4328 118.0 118 1.2047
2.4328 119.0 119 1.1730
2.4328 120.0 120 1.1424
2.4328 121.0 121 1.1125
2.4328 122.0 122 1.0834
2.4328 123.0 123 1.0540
2.4328 124.0 124 1.0248
1.3226 125.0 125 0.9955
1.3226 126.0 126 0.9676
1.3226 127.0 127 0.9394
1.3226 128.0 128 0.9118
1.3226 129.0 129 0.8822
1.3226 130.0 130 0.8546
1.3226 131.0 131 0.8247
1.3226 132.0 132 0.7962
1.3226 133.0 133 0.7679
1.3226 134.0 134 0.7372
1.3226 135.0 135 0.7086
1.3226 136.0 136 0.6795
1.3226 137.0 137 0.6490
1.3226 138.0 138 0.6197
1.3226 139.0 139 0.5895
1.3226 140.0 140 0.5598
1.3226 141.0 141 0.5287
1.3226 142.0 142 0.4987
1.3226 143.0 143 0.4695
1.3226 144.0 144 0.4401
1.3226 145.0 145 0.4096
1.3226 146.0 146 0.3809
1.3226 147.0 147 0.3521
1.3226 148.0 148 0.3234
1.3226 149.0 149 0.2959
0.5038 150.0 150 0.2715
0.5038 151.0 151 0.2460
0.5038 152.0 152 0.2237
0.5038 153.0 153 0.2031
0.5038 154.0 154 0.1838
0.5038 155.0 155 0.1669
0.5038 156.0 156 0.1523
0.5038 157.0 157 0.1392
0.5038 158.0 158 0.1281
0.5038 159.0 159 0.1185
0.5038 160.0 160 0.1101
0.5038 161.0 161 0.1020
0.5038 162.0 162 0.0949
0.5038 163.0 163 0.0887
0.5038 164.0 164 0.0828
0.5038 165.0 165 0.0775
0.5038 166.0 166 0.0729
0.5038 167.0 167 0.0684
0.5038 168.0 168 0.0646
0.5038 169.0 169 0.0606
0.5038 170.0 170 0.0569
0.5038 171.0 171 0.0537
0.5038 172.0 172 0.0506
0.5038 173.0 173 0.0480
0.5038 174.0 174 0.0455
0.0905 175.0 175 0.0431
0.0905 176.0 176 0.0409
0.0905 177.0 177 0.0388
0.0905 178.0 178 0.0371
0.0905 179.0 179 0.0353
0.0905 180.0 180 0.0338
0.0905 181.0 181 0.0323
0.0905 182.0 182 0.0309
0.0905 183.0 183 0.0297
0.0905 184.0 184 0.0284
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0.0905 190.0 190 0.0229
0.0905 191.0 191 0.0222
0.0905 192.0 192 0.0215
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0.0905 195.0 195 0.0198
0.0905 196.0 196 0.0193
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0.022 200.0 200 0.0175
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0.022 219.0 219 0.0123
0.022 220.0 220 0.0122
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0.022 222.0 222 0.0118
0.022 223.0 223 0.0117
0.022 224.0 224 0.0115
0.0114 225.0 225 0.0114
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0.0114 246.0 246 0.0090
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0.008 250.0 250 0.0087
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0.008 271.0 271 0.0072
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0.008 273.0 273 0.0071
0.008 274.0 274 0.0071
0.0063 275.0 275 0.0070
0.0063 276.0 276 0.0069
0.0063 277.0 277 0.0069
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0.0063 279.0 279 0.0068
0.0063 280.0 280 0.0067
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0.0063 284.0 284 0.0065
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0.0063 287.0 287 0.0064
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0.0063 289.0 289 0.0063
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0.0063 293.0 293 0.0061
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0.0063 296.0 296 0.0060
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0.0052 300.0 300 0.0059
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0.0034 390.0 390 0.0037
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0.0034 395.0 395 0.0036
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0.003 400.0 400 0.0036
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0.0018 596.0 596 0.0020
0.0018 597.0 597 0.0020
0.0018 598.0 598 0.0020
0.0018 599.0 599 0.0020
0.0017 600.0 600 0.0020
0.0017 601.0 601 0.0020
0.0017 602.0 602 0.0020
0.0017 603.0 603 0.0020
0.0017 604.0 604 0.0020
0.0017 605.0 605 0.0020
0.0017 606.0 606 0.0020
0.0017 607.0 607 0.0020
0.0017 608.0 608 0.0020
0.0017 609.0 609 0.0020
0.0017 610.0 610 0.0020
0.0017 611.0 611 0.0020
0.0017 612.0 612 0.0020
0.0017 613.0 613 0.0020
0.0017 614.0 614 0.0020
0.0017 615.0 615 0.0020
0.0017 616.0 616 0.0020
0.0017 617.0 617 0.0020
0.0017 618.0 618 0.0020
0.0017 619.0 619 0.0019
0.0017 620.0 620 0.0019
0.0017 621.0 621 0.0019
0.0017 622.0 622 0.0019
0.0017 623.0 623 0.0019
0.0017 624.0 624 0.0019
0.0016 625.0 625 0.0019
0.0016 626.0 626 0.0019
0.0016 627.0 627 0.0019
0.0016 628.0 628 0.0019
0.0016 629.0 629 0.0019
0.0016 630.0 630 0.0019
0.0016 631.0 631 0.0019
0.0016 632.0 632 0.0019
0.0016 633.0 633 0.0019
0.0016 634.0 634 0.0019
0.0016 635.0 635 0.0019
0.0016 636.0 636 0.0019
0.0016 637.0 637 0.0019
0.0016 638.0 638 0.0019
0.0016 639.0 639 0.0019
0.0016 640.0 640 0.0019
0.0016 641.0 641 0.0019
0.0016 642.0 642 0.0019
0.0016 643.0 643 0.0019
0.0016 644.0 644 0.0019
0.0016 645.0 645 0.0019
0.0016 646.0 646 0.0019
0.0016 647.0 647 0.0019
0.0016 648.0 648 0.0019
0.0016 649.0 649 0.0018
0.0015 650.0 650 0.0019
0.0015 651.0 651 0.0018
0.0015 652.0 652 0.0018
0.0015 653.0 653 0.0018
0.0015 654.0 654 0.0018
0.0015 655.0 655 0.0018
0.0015 656.0 656 0.0018
0.0015 657.0 657 0.0018
0.0015 658.0 658 0.0018
0.0015 659.0 659 0.0018
0.0015 660.0 660 0.0018
0.0015 661.0 661 0.0018
0.0015 662.0 662 0.0018
0.0015 663.0 663 0.0018
0.0015 664.0 664 0.0018
0.0015 665.0 665 0.0018
0.0015 666.0 666 0.0018
0.0015 667.0 667 0.0018
0.0015 668.0 668 0.0018
0.0015 669.0 669 0.0018
0.0015 670.0 670 0.0018
0.0015 671.0 671 0.0018
0.0015 672.0 672 0.0018
0.0015 673.0 673 0.0018
0.0015 674.0 674 0.0018
0.0014 675.0 675 0.0018
0.0014 676.0 676 0.0018
0.0014 677.0 677 0.0018
0.0014 678.0 678 0.0018
0.0014 679.0 679 0.0018
0.0014 680.0 680 0.0018
0.0014 681.0 681 0.0018
0.0014 682.0 682 0.0018
0.0014 683.0 683 0.0018
0.0014 684.0 684 0.0017
0.0014 685.0 685 0.0018
0.0014 686.0 686 0.0017
0.0014 687.0 687 0.0017
0.0014 688.0 688 0.0017
0.0014 689.0 689 0.0017
0.0014 690.0 690 0.0017
0.0014 691.0 691 0.0017
0.0014 692.0 692 0.0017
0.0014 693.0 693 0.0017
0.0014 694.0 694 0.0017
0.0014 695.0 695 0.0017
0.0014 696.0 696 0.0017
0.0014 697.0 697 0.0017
0.0014 698.0 698 0.0017
0.0014 699.0 699 0.0017
0.0014 700.0 700 0.0017
0.0014 701.0 701 0.0017
0.0014 702.0 702 0.0017
0.0014 703.0 703 0.0017
0.0014 704.0 704 0.0017
0.0014 705.0 705 0.0017
0.0014 706.0 706 0.0017
0.0014 707.0 707 0.0017
0.0014 708.0 708 0.0017
0.0014 709.0 709 0.0017
0.0014 710.0 710 0.0017
0.0014 711.0 711 0.0017
0.0014 712.0 712 0.0017
0.0014 713.0 713 0.0017
0.0014 714.0 714 0.0017
0.0014 715.0 715 0.0017
0.0014 716.0 716 0.0017
0.0014 717.0 717 0.0017
0.0014 718.0 718 0.0017
0.0014 719.0 719 0.0017
0.0014 720.0 720 0.0017
0.0014 721.0 721 0.0017
0.0014 722.0 722 0.0017
0.0014 723.0 723 0.0017
0.0014 724.0 724 0.0017
0.0014 725.0 725 0.0016
0.0014 726.0 726 0.0017
0.0014 727.0 727 0.0016
0.0014 728.0 728 0.0016
0.0014 729.0 729 0.0016
0.0014 730.0 730 0.0016
0.0014 731.0 731 0.0016
0.0014 732.0 732 0.0016
0.0014 733.0 733 0.0016
0.0014 734.0 734 0.0016
0.0014 735.0 735 0.0016
0.0014 736.0 736 0.0016
0.0014 737.0 737 0.0016
0.0014 738.0 738 0.0016
0.0014 739.0 739 0.0016
0.0014 740.0 740 0.0016
0.0014 741.0 741 0.0016
0.0014 742.0 742 0.0016
0.0014 743.0 743 0.0016
0.0014 744.0 744 0.0016
0.0014 745.0 745 0.0016
0.0014 746.0 746 0.0016
0.0014 747.0 747 0.0016
0.0014 748.0 748 0.0016
0.0014 749.0 749 0.0016
0.0013 750.0 750 0.0016
0.0013 751.0 751 0.0016
0.0013 752.0 752 0.0016
0.0013 753.0 753 0.0016
0.0013 754.0 754 0.0016
0.0013 755.0 755 0.0016
0.0013 756.0 756 0.0016
0.0013 757.0 757 0.0016
0.0013 758.0 758 0.0016
0.0013 759.0 759 0.0016
0.0013 760.0 760 0.0016
0.0013 761.0 761 0.0016
0.0013 762.0 762 0.0016
0.0013 763.0 763 0.0016
0.0013 764.0 764 0.0016
0.0013 765.0 765 0.0016
0.0013 766.0 766 0.0016
0.0013 767.0 767 0.0016
0.0013 768.0 768 0.0016
0.0013 769.0 769 0.0016
0.0013 770.0 770 0.0016
0.0013 771.0 771 0.0016
0.0013 772.0 772 0.0016
0.0013 773.0 773 0.0016
0.0013 774.0 774 0.0016
0.0013 775.0 775 0.0016
0.0013 776.0 776 0.0016
0.0013 777.0 777 0.0016
0.0013 778.0 778 0.0016
0.0013 779.0 779 0.0016
0.0013 780.0 780 0.0016
0.0013 781.0 781 0.0015
0.0013 782.0 782 0.0015
0.0013 783.0 783 0.0016
0.0013 784.0 784 0.0016
0.0013 785.0 785 0.0015
0.0013 786.0 786 0.0015
0.0013 787.0 787 0.0015
0.0013 788.0 788 0.0015
0.0013 789.0 789 0.0015
0.0013 790.0 790 0.0015
0.0013 791.0 791 0.0015
0.0013 792.0 792 0.0015
0.0013 793.0 793 0.0015
0.0013 794.0 794 0.0015
0.0013 795.0 795 0.0015
0.0013 796.0 796 0.0015
0.0013 797.0 797 0.0015
0.0013 798.0 798 0.0015
0.0013 799.0 799 0.0015
0.0012 800.0 800 0.0015
0.0012 801.0 801 0.0015
0.0012 802.0 802 0.0015
0.0012 803.0 803 0.0015
0.0012 804.0 804 0.0015
0.0012 805.0 805 0.0015
0.0012 806.0 806 0.0015
0.0012 807.0 807 0.0015
0.0012 808.0 808 0.0015
0.0012 809.0 809 0.0015
0.0012 810.0 810 0.0015
0.0012 811.0 811 0.0015
0.0012 812.0 812 0.0015
0.0012 813.0 813 0.0015
0.0012 814.0 814 0.0015
0.0012 815.0 815 0.0015
0.0012 816.0 816 0.0015
0.0012 817.0 817 0.0015
0.0012 818.0 818 0.0015
0.0012 819.0 819 0.0015
0.0012 820.0 820 0.0015
0.0012 821.0 821 0.0015
0.0012 822.0 822 0.0015
0.0012 823.0 823 0.0015
0.0012 824.0 824 0.0015
0.0012 825.0 825 0.0015
0.0012 826.0 826 0.0015
0.0012 827.0 827 0.0015
0.0012 828.0 828 0.0015
0.0012 829.0 829 0.0015
0.0012 830.0 830 0.0015
0.0012 831.0 831 0.0015
0.0012 832.0 832 0.0015
0.0012 833.0 833 0.0015
0.0012 834.0 834 0.0015
0.0012 835.0 835 0.0015
0.0012 836.0 836 0.0015
0.0012 837.0 837 0.0015
0.0012 838.0 838 0.0015
0.0012 839.0 839 0.0015
0.0012 840.0 840 0.0015
0.0012 841.0 841 0.0015
0.0012 842.0 842 0.0015
0.0012 843.0 843 0.0015
0.0012 844.0 844 0.0015
0.0012 845.0 845 0.0015
0.0012 846.0 846 0.0015
0.0012 847.0 847 0.0015
0.0012 848.0 848 0.0015
0.0012 849.0 849 0.0015
0.0012 850.0 850 0.0015
0.0012 851.0 851 0.0015
0.0012 852.0 852 0.0015
0.0012 853.0 853 0.0015
0.0012 854.0 854 0.0015
0.0012 855.0 855 0.0015
0.0012 856.0 856 0.0015
0.0012 857.0 857 0.0015
0.0012 858.0 858 0.0015
0.0012 859.0 859 0.0015
0.0012 860.0 860 0.0015
0.0012 861.0 861 0.0015
0.0012 862.0 862 0.0014
0.0012 863.0 863 0.0014
0.0012 864.0 864 0.0014
0.0012 865.0 865 0.0014
0.0012 866.0 866 0.0014
0.0012 867.0 867 0.0014
0.0012 868.0 868 0.0014
0.0012 869.0 869 0.0014
0.0012 870.0 870 0.0014
0.0012 871.0 871 0.0014
0.0012 872.0 872 0.0014
0.0012 873.0 873 0.0014
0.0012 874.0 874 0.0014
0.0012 875.0 875 0.0014
0.0012 876.0 876 0.0014
0.0012 877.0 877 0.0014
0.0012 878.0 878 0.0014
0.0012 879.0 879 0.0014
0.0012 880.0 880 0.0014
0.0012 881.0 881 0.0014
0.0012 882.0 882 0.0014
0.0012 883.0 883 0.0014
0.0012 884.0 884 0.0014
0.0012 885.0 885 0.0014
0.0012 886.0 886 0.0014
0.0012 887.0 887 0.0014
0.0012 888.0 888 0.0014
0.0012 889.0 889 0.0014
0.0012 890.0 890 0.0014
0.0012 891.0 891 0.0014
0.0012 892.0 892 0.0014
0.0012 893.0 893 0.0014
0.0012 894.0 894 0.0014
0.0012 895.0 895 0.0014
0.0012 896.0 896 0.0014
0.0012 897.0 897 0.0014
0.0012 898.0 898 0.0014
0.0012 899.0 899 0.0014
0.0012 900.0 900 0.0014
0.0012 901.0 901 0.0014
0.0012 902.0 902 0.0014
0.0012 903.0 903 0.0014
0.0012 904.0 904 0.0014
0.0012 905.0 905 0.0014
0.0012 906.0 906 0.0014
0.0012 907.0 907 0.0014
0.0012 908.0 908 0.0014
0.0012 909.0 909 0.0014
0.0012 910.0 910 0.0014
0.0012 911.0 911 0.0014
0.0012 912.0 912 0.0014
0.0012 913.0 913 0.0014
0.0012 914.0 914 0.0014
0.0012 915.0 915 0.0014
0.0012 916.0 916 0.0014
0.0012 917.0 917 0.0014
0.0012 918.0 918 0.0014
0.0012 919.0 919 0.0014
0.0012 920.0 920 0.0014
0.0012 921.0 921 0.0014
0.0012 922.0 922 0.0014
0.0012 923.0 923 0.0014
0.0012 924.0 924 0.0014
0.0011 925.0 925 0.0014
0.0011 926.0 926 0.0014
0.0011 927.0 927 0.0014
0.0011 928.0 928 0.0014
0.0011 929.0 929 0.0014
0.0011 930.0 930 0.0014
0.0011 931.0 931 0.0014
0.0011 932.0 932 0.0014
0.0011 933.0 933 0.0014
0.0011 934.0 934 0.0014
0.0011 935.0 935 0.0014
0.0011 936.0 936 0.0014
0.0011 937.0 937 0.0014
0.0011 938.0 938 0.0014
0.0011 939.0 939 0.0014
0.0011 940.0 940 0.0014
0.0011 941.0 941 0.0014
0.0011 942.0 942 0.0014
0.0011 943.0 943 0.0014
0.0011 944.0 944 0.0014
0.0011 945.0 945 0.0014
0.0011 946.0 946 0.0014
0.0011 947.0 947 0.0014
0.0011 948.0 948 0.0014
0.0011 949.0 949 0.0014
0.0011 950.0 950 0.0014
0.0011 951.0 951 0.0014
0.0011 952.0 952 0.0014
0.0011 953.0 953 0.0014
0.0011 954.0 954 0.0014
0.0011 955.0 955 0.0014
0.0011 956.0 956 0.0014
0.0011 957.0 957 0.0014
0.0011 958.0 958 0.0014
0.0011 959.0 959 0.0014
0.0011 960.0 960 0.0014
0.0011 961.0 961 0.0014
0.0011 962.0 962 0.0014
0.0011 963.0 963 0.0014
0.0011 964.0 964 0.0014
0.0011 965.0 965 0.0014
0.0011 966.0 966 0.0014
0.0011 967.0 967 0.0014
0.0011 968.0 968 0.0014
0.0011 969.0 969 0.0014
0.0011 970.0 970 0.0014
0.0011 971.0 971 0.0014
0.0011 972.0 972 0.0014
0.0011 973.0 973 0.0014
0.0011 974.0 974 0.0014
0.0011 975.0 975 0.0014
0.0011 976.0 976 0.0014
0.0011 977.0 977 0.0014
0.0011 978.0 978 0.0014
0.0011 979.0 979 0.0014
0.0011 980.0 980 0.0014
0.0011 981.0 981 0.0014
0.0011 982.0 982 0.0014
0.0011 983.0 983 0.0014
0.0011 984.0 984 0.0014
0.0011 985.0 985 0.0014
0.0011 986.0 986 0.0014
0.0011 987.0 987 0.0014
0.0011 988.0 988 0.0014
0.0011 989.0 989 0.0014
0.0011 990.0 990 0.0014
0.0011 991.0 991 0.0014
0.0011 992.0 992 0.0014
0.0011 993.0 993 0.0014
0.0011 994.0 994 0.0014
0.0011 995.0 995 0.0014
0.0011 996.0 996 0.0014
0.0011 997.0 997 0.0014
0.0011 998.0 998 0.0014
0.0011 999.0 999 0.0014
0.0011 1000.0 1000 0.0014

Framework versions

  • PEFT 0.9.0
  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.0