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
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Model tree for saiteki-kai/QA-DeBERTa-v3-large-threshold-smoothing
Base model
microsoft/deberta-v3-largeEvaluation results
- Accuracy on saiteki-kai/Beavertails-itself-reported0.674