Upload DebertaV2ForSequenceClassification
Browse files- config.json +1033 -0
- pytorch_model.bin +3 -0
config.json
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| 1 |
+
{
|
| 2 |
+
"_name_or_path": "/kaggle/input/xsent-tasksource-v2-model/tmp/base_model",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"DebertaV2ForSequenceClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
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|
| 8 |
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|
| 538 |
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"glue/qnli",
|
| 539 |
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"glue/rte",
|
| 540 |
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| 547 |
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| 549 |
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|
| 550 |
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| 551 |
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| 552 |
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| 553 |
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| 554 |
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|
| 555 |
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"snli",
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| 556 |
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| 557 |
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"hans",
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| 558 |
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"WANLI",
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| 559 |
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|
| 560 |
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|
| 561 |
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"recast/recast_megaveridicality",
|
| 562 |
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|
| 563 |
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|
| 564 |
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|
| 565 |
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|
| 566 |
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|
| 567 |
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|
| 568 |
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"probability_words_nli/reasoning_2hop",
|
| 569 |
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"probability_words_nli/reasoning_1hop",
|
| 570 |
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"nan-nli/joey234--nan-nli",
|
| 571 |
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"nli_fever",
|
| 572 |
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"breaking_nli",
|
| 573 |
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"conj_nli",
|
| 574 |
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"fracas",
|
| 575 |
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"dialogue_nli",
|
| 576 |
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"mpe",
|
| 577 |
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"dnc",
|
| 578 |
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| 579 |
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| 580 |
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| 581 |
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"joci",
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| 582 |
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|
| 583 |
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|
| 584 |
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|
| 585 |
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|
| 586 |
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|
| 587 |
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|
| 588 |
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|
| 589 |
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| 590 |
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|
| 592 |
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|
| 594 |
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|
| 595 |
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| 596 |
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| 597 |
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| 598 |
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| 600 |
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| 602 |
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| 603 |
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| 605 |
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| 606 |
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| 607 |
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| 611 |
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| 614 |
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| 618 |
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|
| 619 |
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| 620 |
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| 621 |
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| 622 |
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| 623 |
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| 625 |
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| 626 |
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| 627 |
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| 629 |
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|
| 631 |
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|
| 632 |
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|
| 633 |
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| 634 |
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| 635 |
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|
| 639 |
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|
| 640 |
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|
| 641 |
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|
| 642 |
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|
| 643 |
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| 647 |
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| 651 |
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|
| 652 |
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|
| 653 |
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|
| 654 |
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|
| 655 |
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|
| 656 |
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|
| 657 |
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|
| 658 |
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| 659 |
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|
| 660 |
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|
| 661 |
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|
| 662 |
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|
| 663 |
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|
| 664 |
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|
| 665 |
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|
| 666 |
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|
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|
| 668 |
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|
| 669 |
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|
| 670 |
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|
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|
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|
| 675 |
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|
| 676 |
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| 677 |
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|
| 678 |
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|
| 679 |
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|
| 680 |
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|
| 681 |
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|
| 683 |
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|
| 684 |
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|
| 685 |
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|
| 686 |
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|
| 687 |
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|
| 688 |
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|
| 689 |
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|
| 690 |
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|
| 691 |
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|
| 692 |
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|
| 693 |
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|
| 694 |
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|
| 695 |
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|
| 696 |
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|
| 697 |
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|
| 698 |
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|
| 699 |
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|
| 700 |
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|
| 701 |
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|
| 702 |
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|
| 703 |
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|
| 704 |
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|
| 705 |
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"bigbench/key_value_maps",
|
| 706 |
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|
| 707 |
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"bigbench/code_line_description",
|
| 708 |
+
"bigbench/sports_understanding",
|
| 709 |
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"bigbench/phrase_relatedness",
|
| 710 |
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"bigbench/causal_judgment",
|
| 711 |
+
"bigbench/nonsense_words_grammar",
|
| 712 |
+
"cos_e/v1.0",
|
| 713 |
+
"cosmos_qa",
|
| 714 |
+
"dream",
|
| 715 |
+
"openbookqa",
|
| 716 |
+
"qasc",
|
| 717 |
+
"quartz",
|
| 718 |
+
"quail",
|
| 719 |
+
"head_qa/en",
|
| 720 |
+
"sciq",
|
| 721 |
+
"social_i_qa",
|
| 722 |
+
"wiki_hop/original",
|
| 723 |
+
"wiqa",
|
| 724 |
+
"piqa",
|
| 725 |
+
"hellaswag",
|
| 726 |
+
"super_glue/copa",
|
| 727 |
+
"balanced-copa",
|
| 728 |
+
"e-CARE",
|
| 729 |
+
"art",
|
| 730 |
+
"winogrande/winogrande_xl",
|
| 731 |
+
"codah/codah",
|
| 732 |
+
"ai2_arc/ARC-Challenge/challenge",
|
| 733 |
+
"ai2_arc/ARC-Easy/challenge",
|
| 734 |
+
"definite_pronoun_resolution",
|
| 735 |
+
"swag/regular",
|
| 736 |
+
"math_qa",
|
| 737 |
+
"glue/cola",
|
| 738 |
+
"glue/sst2",
|
| 739 |
+
"utilitarianism",
|
| 740 |
+
"amazon_counterfactual/en",
|
| 741 |
+
"insincere-questions",
|
| 742 |
+
"toxic_conversations",
|
| 743 |
+
"TuringBench",
|
| 744 |
+
"trec",
|
| 745 |
+
"vitaminc/tals--vitaminc",
|
| 746 |
+
"hope_edi/english",
|
| 747 |
+
"rumoureval_2019/RumourEval2019",
|
| 748 |
+
"ethos/binary",
|
| 749 |
+
"ethos/multilabel",
|
| 750 |
+
"tweet_eval/emotion",
|
| 751 |
+
"tweet_eval/irony",
|
| 752 |
+
"tweet_eval/offensive",
|
| 753 |
+
"tweet_eval/sentiment",
|
| 754 |
+
"tweet_eval/stance_abortion",
|
| 755 |
+
"tweet_eval/stance_atheism",
|
| 756 |
+
"tweet_eval/stance_climate",
|
| 757 |
+
"tweet_eval/stance_feminist",
|
| 758 |
+
"tweet_eval/stance_hillary",
|
| 759 |
+
"tweet_eval/emoji",
|
| 760 |
+
"tweet_eval/hate",
|
| 761 |
+
"discovery/discovery",
|
| 762 |
+
"pragmeval/emobank-valence",
|
| 763 |
+
"pragmeval/switchboard",
|
| 764 |
+
"pragmeval/emobank-dominance",
|
| 765 |
+
"pragmeval/emobank-arousal",
|
| 766 |
+
"pragmeval/squinky-formality",
|
| 767 |
+
"pragmeval/squinky-implicature",
|
| 768 |
+
"pragmeval/squinky-informativeness",
|
| 769 |
+
"pragmeval/mrda",
|
| 770 |
+
"pragmeval/verifiability",
|
| 771 |
+
"pragmeval/pdtb",
|
| 772 |
+
"pragmeval/persuasiveness-claimtype",
|
| 773 |
+
"pragmeval/persuasiveness-eloquence",
|
| 774 |
+
"pragmeval/persuasiveness-premisetype",
|
| 775 |
+
"pragmeval/gum",
|
| 776 |
+
"pragmeval/stac",
|
| 777 |
+
"pragmeval/persuasiveness-specificity",
|
| 778 |
+
"pragmeval/persuasiveness-strength",
|
| 779 |
+
"pragmeval/sarcasm",
|
| 780 |
+
"pragmeval/persuasiveness-relevance",
|
| 781 |
+
"pragmeval/emergent",
|
| 782 |
+
"silicone/iemocap",
|
| 783 |
+
"silicone/sem",
|
| 784 |
+
"silicone/oasis",
|
| 785 |
+
"silicone/meld_s",
|
| 786 |
+
"silicone/meld_e",
|
| 787 |
+
"silicone/maptask",
|
| 788 |
+
"silicone/dyda_e",
|
| 789 |
+
"silicone/dyda_da",
|
| 790 |
+
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|
| 791 |
+
"lex_glue/scotus",
|
| 792 |
+
"lex_glue/ledgar",
|
| 793 |
+
"lex_glue/unfair_tos",
|
| 794 |
+
"lex_glue/case_hold",
|
| 795 |
+
"language-identification",
|
| 796 |
+
"imdb",
|
| 797 |
+
"rotten_tomatoes",
|
| 798 |
+
"ag_news",
|
| 799 |
+
"yelp_review_full/yelp_review_full",
|
| 800 |
+
"financial_phrasebank/sentences_allagree",
|
| 801 |
+
"poem_sentiment",
|
| 802 |
+
"dbpedia_14/dbpedia_14",
|
| 803 |
+
"amazon_polarity/amazon_polarity",
|
| 804 |
+
"app_reviews",
|
| 805 |
+
"hate_speech18",
|
| 806 |
+
"sms_spam",
|
| 807 |
+
"humicroedit/subtask-1",
|
| 808 |
+
"humicroedit/subtask-2",
|
| 809 |
+
"snips_built_in_intents",
|
| 810 |
+
"hate_speech_offensive",
|
| 811 |
+
"yahoo_answers_topics",
|
| 812 |
+
"stackoverflow-questions",
|
| 813 |
+
"hyperpartisan_news",
|
| 814 |
+
"sciie",
|
| 815 |
+
"citation_intent",
|
| 816 |
+
"go_emotions/simplified",
|
| 817 |
+
"scicite",
|
| 818 |
+
"liar",
|
| 819 |
+
"lexical_relation_classification/BLESS",
|
| 820 |
+
"lexical_relation_classification/EVALution",
|
| 821 |
+
"lexical_relation_classification/ROOT09",
|
| 822 |
+
"lexical_relation_classification/CogALexV",
|
| 823 |
+
"lexical_relation_classification/K&H+N",
|
| 824 |
+
"linguisticprobing/bigram_shift",
|
| 825 |
+
"linguisticprobing/top_constituents",
|
| 826 |
+
"linguisticprobing/subj_number",
|
| 827 |
+
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|
| 828 |
+
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|
| 829 |
+
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|
| 830 |
+
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|
| 831 |
+
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|
| 832 |
+
"linguisticprobing/tree_depth",
|
| 833 |
+
"crowdflower/tweet_global_warming",
|
| 834 |
+
"crowdflower/text_emotion",
|
| 835 |
+
"crowdflower/political-media-message",
|
| 836 |
+
"crowdflower/political-media-bias",
|
| 837 |
+
"crowdflower/airline-sentiment",
|
| 838 |
+
"crowdflower/sentiment_nuclear_power",
|
| 839 |
+
"crowdflower/political-media-audience",
|
| 840 |
+
"crowdflower/economic-news",
|
| 841 |
+
"crowdflower/corporate-messaging",
|
| 842 |
+
"ethics/commonsense",
|
| 843 |
+
"ethics/deontology",
|
| 844 |
+
"ethics/justice",
|
| 845 |
+
"ethics/virtue",
|
| 846 |
+
"emo/emo2019",
|
| 847 |
+
"google_wellformed_query",
|
| 848 |
+
"tweets_hate_speech_detection",
|
| 849 |
+
"has_part",
|
| 850 |
+
"wnut_17/wnut_17",
|
| 851 |
+
"ncbi_disease/ncbi_disease",
|
| 852 |
+
"acronym_identification",
|
| 853 |
+
"jnlpba/jnlpba",
|
| 854 |
+
"ontonotes_english/SpeedOfMagic--ontonotes_english",
|
| 855 |
+
"blog_authorship_corpus/gender",
|
| 856 |
+
"blog_authorship_corpus/age",
|
| 857 |
+
"blog_authorship_corpus/horoscope",
|
| 858 |
+
"blog_authorship_corpus/job",
|
| 859 |
+
"open_question_type",
|
| 860 |
+
"health_fact",
|
| 861 |
+
"commonsense_qa",
|
| 862 |
+
"mc_taco",
|
| 863 |
+
"ade_corpus_v2/Ade_corpus_v2_classification",
|
| 864 |
+
"discosense",
|
| 865 |
+
"circa",
|
| 866 |
+
"phrase_similarity",
|
| 867 |
+
"scientific-exaggeration-detection",
|
| 868 |
+
"quarel",
|
| 869 |
+
"fever-evidence-related/mwong--fever-related",
|
| 870 |
+
"numer_sense",
|
| 871 |
+
"dynasent/dynabench.dynasent.r1.all/r1",
|
| 872 |
+
"dynasent/dynabench.dynasent.r2.all/r2",
|
| 873 |
+
"Sarcasm_News_Headline",
|
| 874 |
+
"sem_eval_2010_task_8",
|
| 875 |
+
"auditor_review/demo-org--auditor_review",
|
| 876 |
+
"medmcqa",
|
| 877 |
+
"Dynasent_Disagreement",
|
| 878 |
+
"Politeness_Disagreement",
|
| 879 |
+
"SBIC_Disagreement",
|
| 880 |
+
"SChem_Disagreement",
|
| 881 |
+
"Dilemmas_Disagreement",
|
| 882 |
+
"logiqa",
|
| 883 |
+
"wiki_qa",
|
| 884 |
+
"cycic_classification",
|
| 885 |
+
"cycic_multiplechoice",
|
| 886 |
+
"sts-companion",
|
| 887 |
+
"commonsense_qa_2.0",
|
| 888 |
+
"lingnli",
|
| 889 |
+
"monotonicity-entailment",
|
| 890 |
+
"arct",
|
| 891 |
+
"scinli",
|
| 892 |
+
"naturallogic",
|
| 893 |
+
"onestop_qa",
|
| 894 |
+
"moral_stories/full",
|
| 895 |
+
"prost",
|
| 896 |
+
"dynahate",
|
| 897 |
+
"syntactic-augmentation-nli",
|
| 898 |
+
"autotnli",
|
| 899 |
+
"CONDAQA",
|
| 900 |
+
"webgpt_comparisons",
|
| 901 |
+
"synthetic-instruct-gptj-pairwise",
|
| 902 |
+
"scruples",
|
| 903 |
+
"wouldyourather",
|
| 904 |
+
"attempto-nli",
|
| 905 |
+
"defeasible-nli/snli",
|
| 906 |
+
"defeasible-nli/atomic",
|
| 907 |
+
"help-nli",
|
| 908 |
+
"nli-veridicality-transitivity",
|
| 909 |
+
"natural-language-satisfiability",
|
| 910 |
+
"lonli",
|
| 911 |
+
"dadc-limit-nli",
|
| 912 |
+
"FLUTE",
|
| 913 |
+
"strategy-qa",
|
| 914 |
+
"summarize_from_feedback/comparisons",
|
| 915 |
+
"folio",
|
| 916 |
+
"tomi-nli",
|
| 917 |
+
"avicenna",
|
| 918 |
+
"SHP",
|
| 919 |
+
"MedQA-USMLE-4-options-hf",
|
| 920 |
+
"wikimedqa/medwiki",
|
| 921 |
+
"cicero",
|
| 922 |
+
"CREAK",
|
| 923 |
+
"mutual",
|
| 924 |
+
"NeQA",
|
| 925 |
+
"quote-repetition",
|
| 926 |
+
"redefine-math",
|
| 927 |
+
"puzzte",
|
| 928 |
+
"implicatures",
|
| 929 |
+
"race/middle",
|
| 930 |
+
"race/high",
|
| 931 |
+
"race-c",
|
| 932 |
+
"spartqa-yn",
|
| 933 |
+
"spartqa-mchoice",
|
| 934 |
+
"temporal-nli",
|
| 935 |
+
"riddle_sense",
|
| 936 |
+
"clcd-english",
|
| 937 |
+
"twentyquestions",
|
| 938 |
+
"reclor",
|
| 939 |
+
"counterfactually-augmented-imdb",
|
| 940 |
+
"counterfactually-augmented-snli",
|
| 941 |
+
"cnli",
|
| 942 |
+
"boolq-natural-perturbations",
|
| 943 |
+
"acceptability-prediction",
|
| 944 |
+
"equate",
|
| 945 |
+
"ScienceQA_text_only",
|
| 946 |
+
"ekar_english",
|
| 947 |
+
"implicit-hate-stg1",
|
| 948 |
+
"chaos-mnli-ambiguity",
|
| 949 |
+
"headline_cause/en_simple",
|
| 950 |
+
"logiqa-2.0-nli",
|
| 951 |
+
"oasst1_dense_flat/quality",
|
| 952 |
+
"oasst1_dense_flat/toxicity",
|
| 953 |
+
"oasst1_dense_flat/helpfulness",
|
| 954 |
+
"PARARULE-Plus",
|
| 955 |
+
"mindgames",
|
| 956 |
+
"universal_dependencies/en_gum/deprel",
|
| 957 |
+
"universal_dependencies/en_ewt/deprel",
|
| 958 |
+
"universal_dependencies/en_partut/deprel",
|
| 959 |
+
"universal_dependencies/en_lines/deprel",
|
| 960 |
+
"ambient",
|
| 961 |
+
"path-naturalness-prediction",
|
| 962 |
+
"civil_comments/toxicity",
|
| 963 |
+
"civil_comments/severe_toxicity",
|
| 964 |
+
"civil_comments/obscene",
|
| 965 |
+
"civil_comments/threat",
|
| 966 |
+
"civil_comments/insult",
|
| 967 |
+
"civil_comments/identity_attack",
|
| 968 |
+
"civil_comments/sexual_explicit",
|
| 969 |
+
"cloth",
|
| 970 |
+
"dgen",
|
| 971 |
+
"oasst1_pairwise_rlhf_reward",
|
| 972 |
+
"I2D2",
|
| 973 |
+
"args_me",
|
| 974 |
+
"Touche23-ValueEval",
|
| 975 |
+
"starcon",
|
| 976 |
+
"banking77",
|
| 977 |
+
"lsat_qa/all",
|
| 978 |
+
"ConTRoL-nli",
|
| 979 |
+
"tracie",
|
| 980 |
+
"sherliic",
|
| 981 |
+
"sen-making/1",
|
| 982 |
+
"sen-making/2",
|
| 983 |
+
"winowhy",
|
| 984 |
+
"mbib-base/cognitive-bias",
|
| 985 |
+
"mbib-base/fake-news",
|
| 986 |
+
"mbib-base/gender-bias",
|
| 987 |
+
"mbib-base/hate-speech",
|
| 988 |
+
"mbib-base/linguistic-bias",
|
| 989 |
+
"mbib-base/political-bias",
|
| 990 |
+
"mbib-base/racial-bias",
|
| 991 |
+
"mbib-base/text-level-bias",
|
| 992 |
+
"robustLR",
|
| 993 |
+
"v1/gen_train234_test2to10",
|
| 994 |
+
"logical-fallacy",
|
| 995 |
+
"parade",
|
| 996 |
+
"cladder",
|
| 997 |
+
"subjectivity",
|
| 998 |
+
"MOH",
|
| 999 |
+
"VUAC",
|
| 1000 |
+
"TroFi",
|
| 1001 |
+
"sharc_modified/mod",
|
| 1002 |
+
"conceptrules_v2",
|
| 1003 |
+
"disrpt/eng.dep.scidtb",
|
| 1004 |
+
"conll2000",
|
| 1005 |
+
"few-nerd/supervised",
|
| 1006 |
+
"finer-139",
|
| 1007 |
+
"zero-shot-label-nli",
|
| 1008 |
+
"com2sense",
|
| 1009 |
+
"scone",
|
| 1010 |
+
"winodict",
|
| 1011 |
+
"fool-me-twice",
|
| 1012 |
+
"monli",
|
| 1013 |
+
"corr2cause",
|
| 1014 |
+
"lsat_qa/all",
|
| 1015 |
+
"apt",
|
| 1016 |
+
"twitter-financial-news-sentiment",
|
| 1017 |
+
"icl-symbol-tuning-instruct",
|
| 1018 |
+
"SpaceNLI",
|
| 1019 |
+
"propsegment/nli",
|
| 1020 |
+
"HatemojiBuild",
|
| 1021 |
+
"regset",
|
| 1022 |
+
"babi_nli",
|
| 1023 |
+
"gen_debiased_nli",
|
| 1024 |
+
"imppres/presupposition",
|
| 1025 |
+
"/prag",
|
| 1026 |
+
"blimp-2",
|
| 1027 |
+
"mmlu-4"
|
| 1028 |
+
],
|
| 1029 |
+
"torch_dtype": "float32",
|
| 1030 |
+
"transformers_version": "4.31.0",
|
| 1031 |
+
"type_vocab_size": 0,
|
| 1032 |
+
"vocab_size": 128100
|
| 1033 |
+
}
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f525b6c71d1561c756af4600804279bd98ef8cd7aba00c7dc2829ba1ef00876d
|
| 3 |
+
size 1740399989
|