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metadata
library_name: transformers
license: mit
base_model: microsoft/deberta-v3-large
tags:
  - multi_label_classification
  - question-answering
  - text-classification
  - generated_from_trainer
datasets:
  - beavertails
metrics:
  - accuracy
model-index:
  - name: QA-DeBERTa-v3-large-threshold-smoothing
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: saiteki-kai/Beavertails-it
          type: beavertails
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.6744518747712679

QA-DeBERTa-v3-large-threshold-smoothing

This model is a fine-tuned version of microsoft/deberta-v3-large on the saiteki-kai/Beavertails-it dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0814
  • Accuracy: 0.6745
  • Macro F1: 0.6766
  • Macro Precision: 0.6733
  • Macro Recall: 0.6886
  • Micro F1: 0.7547
  • Micro Precision: 0.7403
  • Micro Recall: 0.7697
  • Flagged/accuracy: 0.8571
  • Flagged/precision: 0.8625
  • Flagged/recall: 0.8842
  • Flagged/f1: 0.8732
  • Flagged/aucpr: 0.9056
  • Flagged/fpr: 0.1769
  • Animal Abuse/accuracy: 0.9950
  • Animal Abuse/precision: 0.8
  • Animal Abuse/recall: 0.7558
  • Animal Abuse/f1: 0.7773
  • Animal Abuse/fpr: 0.0022
  • Animal Abuse/threshold: 0.3858
  • Child Abuse/accuracy: 0.9965
  • Child Abuse/precision: 0.6911
  • Child Abuse/recall: 0.6517
  • Child Abuse/f1: 0.6708
  • Child Abuse/fpr: 0.0016
  • Child Abuse/threshold: 0.4537
  • Controversial Topics,politics/accuracy: 0.9661
  • Controversial Topics,politics/precision: 0.4602
  • Controversial Topics,politics/recall: 0.6091
  • Controversial Topics,politics/f1: 0.5243
  • Controversial Topics,politics/fpr: 0.0226
  • Controversial Topics,politics/threshold: 0.2524
  • Discrimination,stereotype,injustice/accuracy: 0.9547
  • Discrimination,stereotype,injustice/precision: 0.7064
  • Discrimination,stereotype,injustice/recall: 0.7360
  • Discrimination,stereotype,injustice/f1: 0.7209
  • Discrimination,stereotype,injustice/fpr: 0.0264
  • Discrimination,stereotype,injustice/threshold: 0.3381
  • Drug Abuse,weapons,banned Substance/accuracy: 0.9736
  • Drug Abuse,weapons,banned Substance/precision: 0.7409
  • Drug Abuse,weapons,banned Substance/recall: 0.8160
  • Drug Abuse,weapons,banned Substance/f1: 0.7767
  • Drug Abuse,weapons,banned Substance/fpr: 0.0170
  • Drug Abuse,weapons,banned Substance/threshold: 0.5554
  • Financial Crime,property Crime,theft/accuracy: 0.9595
  • Financial Crime,property Crime,theft/precision: 0.7607
  • Financial Crime,property Crime,theft/recall: 0.8523
  • Financial Crime,property Crime,theft/f1: 0.8039
  • Financial Crime,property Crime,theft/fpr: 0.0289
  • Financial Crime,property Crime,theft/threshold: 0.4458
  • Hate Speech,offensive Language/accuracy: 0.9495
  • Hate Speech,offensive Language/precision: 0.7431
  • Hate Speech,offensive Language/recall: 0.6668
  • Hate Speech,offensive Language/f1: 0.7029
  • Hate Speech,offensive Language/fpr: 0.0227
  • Hate Speech,offensive Language/threshold: 0.2720
  • Misinformation Regarding Ethics,laws And Safety/accuracy: 0.9836
  • Misinformation Regarding Ethics,laws And Safety/precision: 0.2764
  • Misinformation Regarding Ethics,laws And Safety/recall: 0.2148
  • Misinformation Regarding Ethics,laws And Safety/f1: 0.2417
  • Misinformation Regarding Ethics,laws And Safety/fpr: 0.0069
  • Misinformation Regarding Ethics,laws And Safety/threshold: 0.2018
  • Non Violent Unethical Behavior/accuracy: 0.8811
  • Non Violent Unethical Behavior/precision: 0.7037
  • Non Violent Unethical Behavior/recall: 0.6941
  • Non Violent Unethical Behavior/f1: 0.6989
  • Non Violent Unethical Behavior/fpr: 0.0725
  • Non Violent Unethical Behavior/threshold: 0.3513
  • Privacy Violation/accuracy: 0.9813
  • Privacy Violation/precision: 0.7974
  • Privacy Violation/recall: 0.8321
  • Privacy Violation/f1: 0.8144
  • Privacy Violation/fpr: 0.0110
  • Privacy Violation/threshold: 0.4893
  • Self Harm/accuracy: 0.9970
  • Self Harm/precision: 0.8859
  • Self Harm/recall: 0.6439
  • Self Harm/f1: 0.7458
  • Self Harm/fpr: 0.0006
  • Self Harm/threshold: 0.7746
  • Sexually Explicit,adult Content/accuracy: 0.9835
  • Sexually Explicit,adult Content/precision: 0.6369
  • Sexually Explicit,adult Content/recall: 0.7332
  • Sexually Explicit,adult Content/f1: 0.6817
  • Sexually Explicit,adult Content/fpr: 0.0103
  • Sexually Explicit,adult Content/threshold: 0.4321
  • Terrorism,organized Crime/accuracy: 0.9895
  • Terrorism,organized Crime/precision: 0.3898
  • Terrorism,organized Crime/recall: 0.5551
  • Terrorism,organized Crime/f1: 0.4580
  • Terrorism,organized Crime/fpr: 0.0070
  • Terrorism,organized Crime/threshold: 0.2018
  • Violence,aiding And Abetting,incitement/accuracy: 0.9211
  • Violence,aiding And Abetting,incitement/precision: 0.8333
  • Violence,aiding And Abetting,incitement/recall: 0.8792
  • Violence,aiding And Abetting,incitement/f1: 0.8556
  • Violence,aiding And Abetting,incitement/fpr: 0.0638
  • Violence,aiding And Abetting,incitement/threshold: 0.4855

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: 64
  • eval_batch_size: 128
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 10
  • label_smoothing_factor: 0.1

Training results

Training Loss Epoch Step Accuracy Animal Abuse/accuracy Animal Abuse/f1 Animal Abuse/fpr Animal Abuse/precision Animal Abuse/recall Animal Abuse/threshold Child Abuse/accuracy Child Abuse/f1 Child Abuse/fpr Child Abuse/precision Child Abuse/recall Child Abuse/threshold Controversial Topics,politics/accuracy Controversial Topics,politics/f1 Controversial Topics,politics/fpr Controversial Topics,politics/precision Controversial Topics,politics/recall Controversial Topics,politics/threshold Discrimination,stereotype,injustice/accuracy Discrimination,stereotype,injustice/f1 Discrimination,stereotype,injustice/fpr Discrimination,stereotype,injustice/precision Discrimination,stereotype,injustice/recall Discrimination,stereotype,injustice/threshold Drug Abuse,weapons,banned Substance/accuracy Drug Abuse,weapons,banned Substance/f1 Drug Abuse,weapons,banned Substance/fpr Drug Abuse,weapons,banned Substance/precision Drug Abuse,weapons,banned Substance/recall Drug Abuse,weapons,banned Substance/threshold Financial Crime,property Crime,theft/accuracy Financial Crime,property Crime,theft/f1 Financial Crime,property Crime,theft/fpr Financial Crime,property Crime,theft/precision Financial Crime,property Crime,theft/recall Financial Crime,property Crime,theft/threshold Flagged/accuracy Flagged/aucpr Flagged/f1 Flagged/fpr Flagged/precision Flagged/recall Hate Speech,offensive Language/accuracy Hate Speech,offensive Language/f1 Hate Speech,offensive Language/fpr Hate Speech,offensive Language/precision Hate Speech,offensive Language/recall Hate Speech,offensive Language/threshold Validation Loss Macro F1 Macro Precision Macro Recall Micro F1 Micro Precision Micro Recall Misinformation Regarding Ethics,laws And Safety/accuracy Misinformation Regarding Ethics,laws And Safety/f1 Misinformation Regarding Ethics,laws And Safety/fpr Misinformation Regarding Ethics,laws And Safety/precision Misinformation Regarding Ethics,laws And Safety/recall Misinformation Regarding Ethics,laws And Safety/threshold Non Violent Unethical Behavior/accuracy Non Violent Unethical Behavior/f1 Non Violent Unethical Behavior/fpr Non Violent Unethical Behavior/precision Non Violent Unethical Behavior/recall Non Violent Unethical Behavior/threshold Privacy Violation/accuracy Privacy Violation/f1 Privacy Violation/fpr Privacy Violation/precision Privacy Violation/recall Privacy Violation/threshold Self Harm/accuracy Self Harm/f1 Self Harm/fpr Self Harm/precision Self Harm/recall Self Harm/threshold Sexually Explicit,adult Content/accuracy Sexually Explicit,adult Content/f1 Sexually Explicit,adult Content/fpr Sexually Explicit,adult Content/precision Sexually Explicit,adult Content/recall Sexually Explicit,adult Content/threshold Terrorism,organized Crime/accuracy Terrorism,organized Crime/f1 Terrorism,organized Crime/fpr Terrorism,organized Crime/precision Terrorism,organized Crime/recall Terrorism,organized Crime/threshold Violence,aiding And Abetting,incitement/accuracy Violence,aiding And Abetting,incitement/f1 Violence,aiding And Abetting,incitement/fpr Violence,aiding And Abetting,incitement/precision Violence,aiding And Abetting,incitement/recall Violence,aiding And Abetting,incitement/threshold
0.1084 0.2501 2114 0.6478 0.9945 0.7620 0.0030 0.7496 0.7747 0.4987 0.9964 0.6244 0.0011 0.728 0.5465 0.3895 0.9661 0.4879 0.0200 0.4545 0.5266 0.3074 0.9515 0.6980 0.0272 0.6911 0.7050 0.2806 0.9702 0.7552 0.0206 0.7026 0.8163 0.4470 0.9564 0.7884 0.0304 0.7473 0.8344 0.4254 0.8383 0.8933 0.8568 0.2010 0.8444 0.8696 0.9467 0.6847 0.0238 0.7279 0.6464 0.3200 0.0923 0.6392 0.6362 0.6502 0.7322 0.7160 0.7491 0.9757 0.1185 0.0139 0.1062 0.1341 0.1082 0.8718 0.6776 0.0802 0.6772 0.6780 0.2408 0.9797 0.7988 0.0118 0.7818 0.8166 0.4802 0.9966 0.72 0.0009 0.8286 0.6366 0.8093 0.9819 0.6528 0.0113 0.6069 0.7063 0.2509 0.9871 0.3398 0.0083 0.2874 0.4158 0.1251 0.9127 0.8407 0.0701 0.8173 0.8656 0.3576
0.0905 0.5001 4228 0.6569 0.9944 0.7624 0.0033 0.7361 0.7907 0.3268 0.9963 0.6606 0.0018 0.6667 0.6547 0.2790 0.9662 0.5039 0.0210 0.4575 0.5608 0.1968 0.9536 0.7158 0.0274 0.6983 0.7341 0.3891 0.9711 0.7604 0.0194 0.7141 0.8131 0.3065 0.9579 0.7931 0.0283 0.7595 0.8299 0.4073 0.8448 0.8962 0.8641 0.2074 0.8428 0.8865 0.9468 0.6888 0.0247 0.7233 0.6575 0.4125 0.0869 0.6574 0.6495 0.6713 0.7408 0.7269 0.7554 0.9740 0.1719 0.0167 0.1404 0.2216 0.0592 0.8790 0.6905 0.0715 0.7021 0.6792 0.4446 0.9804 0.8037 0.0108 0.7958 0.8119 0.5496 0.9967 0.7232 0.0008 0.8414 0.6341 0.7866 0.9825 0.6675 0.0112 0.6160 0.7284 0.5078 0.9906 0.4157 0.0048 0.4136 0.4179 0.1339 0.9161 0.8457 0.0653 0.8276 0.8647 0.4688
0.0802 0.7502 6342 0.6645 0.9944 0.7687 0.0035 0.7282 0.8140 0.3149 0.9962 0.6587 0.0020 0.6538 0.6637 0.1801 0.9676 0.5073 0.0191 0.4745 0.5451 0.1836 0.9532 0.7193 0.0297 0.6870 0.7548 0.2553 0.9723 0.7695 0.0187 0.7243 0.8207 0.3090 0.9594 0.8006 0.0273 0.7678 0.8363 0.3895 0.8508 0.9016 0.8675 0.1832 0.8574 0.8779 0.9480 0.6958 0.0241 0.7308 0.6640 0.3675 0.0846 0.6646 0.6488 0.6842 0.7482 0.7304 0.7668 0.9791 0.1929 0.0114 0.1820 0.2052 0.1268 0.8772 0.6942 0.0793 0.6869 0.7017 0.3242 0.9808 0.8099 0.0113 0.7925 0.8281 0.3840 0.9967 0.7411 0.0012 0.8034 0.6878 0.5159 0.9827 0.6766 0.0115 0.6160 0.7505 0.4121 0.9903 0.4187 0.0052 0.4023 0.4366 0.1755 0.9192 0.8513 0.0630 0.8334 0.8701 0.2975
0.0666 1.0002 8456 0.6632 0.9948 0.7744 0.0026 0.7755 0.7733 0.3817 0.9964 0.6737 0.0018 0.6716 0.6757 0.4794 0.9661 0.5028 0.0210 0.4568 0.5592 0.3567 0.9540 0.7210 0.0282 0.6961 0.7477 0.3469 0.9737 0.7715 0.0152 0.7558 0.7880 0.4489 0.9592 0.8007 0.0283 0.7624 0.8431 0.4125 0.8491 0.8984 0.8684 0.2084 0.8435 0.8950 0.9469 0.6974 0.0271 0.7124 0.6831 0.3337 0.0832 0.6690 0.6539 0.6906 0.7491 0.7253 0.7745 0.9794 0.2142 0.0114 0.1995 0.2312 0.1767 0.8768 0.6979 0.0834 0.6806 0.7161 0.3407 0.9807 0.8063 0.0108 0.7968 0.8159 0.4487 0.9969 0.7407 0.0008 0.8464 0.6585 0.7853 0.9826 0.6857 0.0125 0.6075 0.7871 0.1592 0.9892 0.4288 0.0069 0.3714 0.5073 0.2134 0.9180 0.8514 0.0693 0.8220 0.8829 0.3513
0.0907 1.2503 10570 0.6693 0.9950 0.7703 0.0021 0.8051 0.7384 0.6067 0.9965 0.6739 0.0015 0.7013 0.6486 0.3277 0.9665 0.5170 0.0215 0.4627 0.5858 0.2553 0.9553 0.7271 0.0269 0.7063 0.7492 0.3956 0.9729 0.7686 0.0167 0.7405 0.7989 0.4130 0.9595 0.8013 0.0275 0.7668 0.8390 0.3390 0.8543 0.9028 0.8717 0.1896 0.8547 0.8893 0.9494 0.6968 0.0212 0.7513 0.6497 0.5146 0.0825 0.6721 0.6660 0.6850 0.7516 0.7348 0.7693 0.9804 0.2199 0.0103 0.2131 0.2271 0.1268 0.8788 0.6996 0.0794 0.6893 0.7101 0.4434 0.9808 0.8071 0.0105 0.8011 0.8132 0.3711 0.9970 0.7562 0.0007 0.8625 0.6732 0.3937 0.9822 0.6787 0.0128 0.6005 0.7802 0.3311 0.9898 0.4381 0.0062 0.3918 0.4969 0.1733 0.9203 0.8545 0.0648 0.8310 0.8793 0.3684
0.0819 1.5004 12684 0.6641 0.9949 0.7658 0.0019 0.8148 0.7224 0.6160 0.9963 0.6716 0.0019 0.6677 0.6757 0.5229 0.9632 0.5140 0.0264 0.4318 0.6346 0.2323 0.9549 0.7203 0.0256 0.7111 0.7297 0.3567 0.9731 0.7728 0.0173 0.7374 0.8119 0.3798 0.9602 0.8042 0.0267 0.7719 0.8393 0.5156 0.8501 0.8997 0.8685 0.1995 0.8484 0.8896 0.9498 0.6984 0.0205 0.7565 0.6486 0.3891 0.0821 0.6715 0.6579 0.6963 0.7495 0.7302 0.7699 0.9777 0.2349 0.0138 0.2014 0.2818 0.1209 0.8790 0.6984 0.0779 0.6917 0.7052 0.3757 0.9805 0.8092 0.0120 0.7830 0.8372 0.3748 0.9969 0.7446 0.0009 0.8405 0.6683 0.5138 0.9823 0.6732 0.0121 0.6068 0.7560 0.3576 0.9885 0.4387 0.0080 0.36 0.5613 0.2886 0.9212 0.8554 0.0626 0.8354 0.8764 0.4535
0.0736 1.7504 14798 0.6686 0.9946 0.7707 0.0029 0.7556 0.7863 0.4501 0.9963 0.6677 0.0019 0.6657 0.6697 0.1217 0.9634 0.5190 0.0265 0.4348 0.6439 0.1931 0.9533 0.7203 0.0297 0.6877 0.7563 0.3183 0.9725 0.7723 0.0188 0.7241 0.8272 0.2783 0.9595 0.8044 0.0292 0.7594 0.8551 0.5400 0.8549 0.9027 0.8727 0.1944 0.8523 0.8941 0.9493 0.6997 0.0221 0.7454 0.6592 0.3840 0.0820 0.6737 0.6576 0.6983 0.7520 0.7289 0.7767 0.9822 0.2444 0.0086 0.2526 0.2367 0.1645 0.8783 0.6990 0.0803 0.6873 0.7112 0.3259 0.9814 0.8132 0.0102 0.8066 0.8200 0.4201 0.9970 0.7507 0.0008 0.8562 0.6683 0.6370 0.9821 0.6681 0.0122 0.6020 0.7505 0.2173 0.9898 0.4467 0.0063 0.3952 0.5135 0.2173 0.9210 0.8555 0.0637 0.8334 0.8789 0.4395
0.0735 2.0005 16912 0.6726 0.9948 0.7728 0.0026 0.7768 0.7689 0.4571 0.9963 0.6916 0.0023 0.6410 0.7508 0.4574 0.9664 0.5135 0.0213 0.4618 0.5782 0.2494 0.9551 0.7272 0.0275 0.7028 0.7533 0.4345 0.9739 0.7750 0.0155 0.7543 0.7968 0.5684 0.9598 0.8056 0.0288 0.7618 0.8547 0.4644 0.8560 0.9042 0.8729 0.1845 0.8580 0.8883 0.9479 0.7022 0.0262 0.7199 0.6854 0.4144 0.0810 0.6751 0.6584 0.6984 0.7526 0.7342 0.7719 0.9732 0.2263 0.0188 0.1742 0.3228 0.0967 0.8820 0.7008 0.0718 0.7061 0.6955 0.3858 0.9811 0.8116 0.0110 0.7967 0.8270 0.4659 0.9968 0.7477 0.0011 0.8156 0.6902 0.6388 0.9843 0.6880 0.0092 0.6580 0.7208 0.4574 0.9904 0.4303 0.0053 0.4078 0.4553 0.1895 0.9233 0.8590 0.0601 0.8411 0.8776 0.4734
0.0806 2.2505 19026 0.6627 0.9952 0.7852 0.0023 0.7976 0.7733 0.5007 0.9964 0.6853 0.0019 0.6715 0.6997 0.4980 0.9654 0.5152 0.0230 0.4514 0.5999 0.2999 0.9548 0.7207 0.0261 0.7085 0.7333 0.3107 0.9728 0.7746 0.0188 0.7256 0.8308 0.4239 0.9585 0.8026 0.0315 0.7480 0.8658 0.2830 0.8518 0.9005 0.8704 0.2010 0.8480 0.8939 0.9485 0.7016 0.0246 0.7296 0.6757 0.2644 0.0821 0.6775 0.6574 0.7081 0.7512 0.7209 0.7841 0.9763 0.2417 0.0155 0.1979 0.3105 0.1176 0.8742 0.6991 0.0913 0.6663 0.7353 0.2918 0.9813 0.8139 0.0109 0.7981 0.8304 0.4402 0.9971 0.7552 0.0007 0.8722 0.6659 0.7233 0.9835 0.6852 0.0107 0.6324 0.7478 0.3124 0.9889 0.4487 0.0076 0.3728 0.5634 0.2160 0.9212 0.8561 0.0646 0.8319 0.8818 0.4768
0.073 2.5006 21140 0.6746 0.9950 0.7773 0.0022 0.8 0.7558 0.3858 0.9965 0.6708 0.0016 0.6911 0.6517 0.4537 0.9661 0.5232 0.0225 0.4600 0.6064 0.2539 0.9549 0.7211 0.0259 0.7095 0.7331 0.3425 0.9736 0.7767 0.0170 0.7409 0.8160 0.5554 0.9595 0.8039 0.0289 0.7609 0.8522 0.4467 0.8570 0.9055 0.8731 0.1769 0.8624 0.8840 0.9489 0.7029 0.0242 0.7330 0.6751 0.2613 0.0814 0.6764 0.6727 0.6886 0.7548 0.7399 0.7702 0.9837 0.2395 0.0068 0.2775 0.2107 0.2043 0.8811 0.6989 0.0725 0.7037 0.6942 0.3513 0.9812 0.8144 0.0112 0.7947 0.8351 0.4826 0.9970 0.7458 0.0006 0.8859 0.6439 0.7746 0.9835 0.6817 0.0102 0.6380 0.7319 0.4345 0.9895 0.4580 0.0070 0.3898 0.5551 0.2018 0.9211 0.8556 0.0637 0.8333 0.8792 0.4853
0.0646 2.7507 23254 0.0821 0.6658 0.6741 0.6595 0.6954 0.7485 0.7312 0.7667 0.8521 0.8527 0.8876 0.8698 0.9014 0.1923 0.9949 0.7951 0.75 0.7719 0.0022 0.5818 0.9964 0.6648 0.6967 0.6804 0.0020 0.3693 0.9654 0.4519 0.6075 0.5183 0.0233 0.1848 0.9533 0.6877 0.7556 0.7201 0.0296 0.3149 0.9737 0.7519 0.7947 0.7727 0.0157 0.4031 0.9600 0.7714 0.8370 0.8029 0.0267 0.4596 0.9469 0.7118 0.6831 0.6972 0.0272 0.4168 0.9777 0.2047 0.2886 0.2395 0.0138 0.1778 0.8763 0.6848 0.6997 0.6922 0.0799 0.4045 0.9819 0.8273 0.7997 0.8133 0.0087 0.5324 0.9968 0.8102 0.6976 0.7497 0.0011 0.4897 0.9843 0.6624 0.7118 0.6862 0.0089 0.4866 0.9888 0.3648 0.5468 0.4376 0.0077 0.1624 0.9218 0.8439 0.8662 0.8549 0.0581 0.4249
0.0593 3.0007 25368 0.0825 0.6635 0.6732 0.6582 0.7004 0.7475 0.7266 0.7697 0.8478 0.8438 0.8914 0.8669 0.8978 0.2070 0.9949 0.7914 0.75 0.7701 0.0023 0.4690 0.9966 0.7078 0.6547 0.6802 0.0015 0.6558 0.9630 0.4288 0.6249 0.5086 0.0263 0.2902 0.9558 0.7225 0.7201 0.7213 0.0239 0.4054 0.9730 0.7440 0.7933 0.7679 0.0163 0.5029 0.9593 0.7626 0.8445 0.8015 0.0283 0.4359 0.9478 0.7241 0.6748 0.6986 0.0253 0.4187 0.9756 0.1977 0.3283 0.2468 0.0164 0.1944 0.8784 0.6888 0.7078 0.6982 0.0793 0.3684 0.9808 0.7882 0.8358 0.8113 0.0117 0.4385 0.9969 0.8379 0.6683 0.7436 0.0009 0.7957 0.9830 0.6266 0.7319 0.6752 0.0108 0.2822 0.9881 0.3563 0.6029 0.4479 0.0088 0.2173 0.9204 0.8377 0.8691 0.8531 0.0610 0.4881
0.0752 3.2508 27482 0.0837 0.6671 0.6739 0.6550 0.7046 0.7489 0.7300 0.7687 0.8519 0.8526 0.8871 0.8695 0.9013 0.1924 0.9948 0.7579 0.8009 0.7788 0.0030 0.3693 0.9964 0.6832 0.6607 0.6718 0.0017 0.4844 0.9640 0.4365 0.6064 0.5076 0.0247 0.2783 0.9539 0.6981 0.7414 0.7191 0.0277 0.3798 0.9739 0.7649 0.7753 0.7700 0.0142 0.5081 0.9592 0.7661 0.8361 0.7995 0.0275 0.3928 0.9480 0.7263 0.6731 0.6987 0.0250 0.3363 0.9787 0.2128 0.2777 0.2409 0.0126 0.1883 0.8807 0.7027 0.6924 0.6975 0.0726 0.3495 0.9805 0.7853 0.8324 0.8082 0.0118 0.5062 0.9970 0.8455 0.6805 0.7541 0.0009 0.4752 0.9822 0.6002 0.7761 0.6769 0.0127 0.3234 0.9879 0.3562 0.6362 0.4567 0.0093 0.1209 0.9206 0.8339 0.8758 0.8544 0.0632 0.4656
0.0813 3.5008 29596 0.0816 0.6647 0.6721 0.6589 0.6952 0.7489 0.7263 0.7729 0.8507 0.8467 0.8935 0.8695 0.8997 0.2029 0.9947 0.7725 0.7602 0.7663 0.0026 0.5903 0.9967 0.7537 0.6066 0.6722 0.0011 0.6766 0.9644 0.4405 0.6031 0.5092 0.0242 0.2295 0.9542 0.7015 0.7379 0.7192 0.0271 0.4168 0.9734 0.7401 0.8139 0.7752 0.0171 0.3576 0.9593 0.7610 0.8489 0.8026 0.0287 0.4689 0.9473 0.7208 0.6712 0.6951 0.0256 0.5051 0.9768 0.1998 0.3023 0.2406 0.0149 0.1551 0.8782 0.6906 0.7010 0.6957 0.0779 0.3794 0.9811 0.7964 0.8297 0.8127 0.0110 0.4292 0.9970 0.8368 0.6878 0.7550 0.0009 0.5751 0.9831 0.6232 0.7533 0.6821 0.0112 0.3854 0.9886 0.3568 0.5364 0.4286 0.0078 0.1824 0.9204 0.8306 0.8804 0.8547 0.0651 0.5017

Framework versions

  • Transformers 4.57.1
  • Pytorch 2.7.1+cu118
  • Datasets 4.4.1
  • Tokenizers 0.22.1