Upload DebertaV2ForSequenceClassification
Browse files- config.json +184 -164
- pytorch_model.bin +2 -2
config.json
CHANGED
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"scitail/snli_format",
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"hans",
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"WANLI",
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"recast/
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"recast/recast_kg_relations",
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"recast/recast_puns",
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"recast/recast_sentiment",
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"recast/recast_verbnet",
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"recast/recast_ner",
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"recast/recast_verbcorner",
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"recast/recast_megaveridicality",
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"probability_words_nli/reasoning_2hop",
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"probability_words_nli/usnli",
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"probability_words_nli/reasoning_1hop",
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"nan-nli/joey234--nan-nli",
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"nli_fever",
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"breaking_nli",
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"robust_nli_is_sd",
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"robust_nli_li_ts",
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"add_one_rte",
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"imppres/
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"imppres/implicature_modals/log",
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"imppres/implicature_gradable_verb/log",
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"imppres/implicature_gradable_adjective/log",
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"imppres/
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"imppres/implicature_numerals_10_100/log",
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"imppres/implicature_quantifiers/log",
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"glue_diagnostics/diagnostics",
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"hlgd",
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"model-written-evals",
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"truthful_qa/multiple_choice",
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"fig-qa",
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"bigbench/analytic_entailment",
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"bigbench/figure_of_speech_detection",
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"bigbench/riddle_sense",
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"bigbench/physical_intuition",
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"bigbench/
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"bigbench/dark_humor_detection",
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"bigbench/cifar10_classification",
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"bigbench/hhh_alignment",
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"bigbench/odd_one_out",
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"bigbench/undo_permutation",
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"bigbench/key_value_maps",
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"bigbench/empirical_judgments",
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"bigbench/question_selection",
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"bigbench/date_understanding",
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"bigbench/vitaminc_fact_verification",
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"bigbench/cause_and_effect",
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"bigbench/movie_dialog_same_or_different",
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"bigbench/unit_interpretation",
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"bigbench/abstract_narrative_understanding",
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"bigbench/dyck_languages",
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"bigbench/elementary_math_qa",
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"bigbench/identify_math_theorems",
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"bigbench/misconceptions",
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"bigbench/hindu_knowledge",
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"bigbench/cs_algorithms",
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"bigbench/conceptual_combinations",
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"bigbench/presuppositions_as_nli",
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"bigbench/code_line_description",
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"bigbench/gre_reading_comprehension",
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"bigbench/physics",
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"bigbench/english_proverbs",
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"bigbench/similarities_abstraction",
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"bigbench/emojis_emotion_prediction",
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"bigbench/temporal_sequences",
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"bigbench/human_organs_senses",
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"bigbench/reasoning_about_colored_objects",
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"rumoureval_2019/RumourEval2019",
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"ontonotes_english/SpeedOfMagic--ontonotes_english",
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"blog_authorship_corpus/gender",
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"blog_authorship_corpus/job",
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"open_question_type",
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"health_fact",
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"scruples",
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"wouldyourather",
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"attempto-nli",
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],
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"transformers_version": "4.
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"type_vocab_size": 0,
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"vocab_size": 128100
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}
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|
309 |
3,
|
310 |
2,
|
311 |
4,
|
312 |
+
4,
|
|
|
313 |
2,
|
314 |
2,
|
315 |
2,
|
|
|
325 |
37,
|
326 |
2,
|
327 |
49,
|
|
|
328 |
40,
|
329 |
10,
|
330 |
4,
|
|
|
359 |
2,
|
360 |
1,
|
361 |
4,
|
362 |
+
3,
|
363 |
1,
|
364 |
1,
|
365 |
1,
|
|
|
493 |
4,
|
494 |
1,
|
495 |
17,
|
496 |
+
3,
|
497 |
+
2,
|
498 |
+
3,
|
499 |
+
2,
|
500 |
+
3,
|
501 |
+
3,
|
502 |
+
2,
|
503 |
+
1,
|
504 |
+
1,
|
505 |
+
3,
|
506 |
+
2,
|
507 |
2,
|
508 |
3,
|
509 |
3,
|
|
|
568 |
"scitail/snli_format",
|
569 |
"hans",
|
570 |
"WANLI",
|
571 |
+
"recast/recast_verbnet",
|
572 |
"recast/recast_kg_relations",
|
573 |
+
"recast/recast_ner",
|
574 |
+
"recast/recast_factuality",
|
575 |
"recast/recast_puns",
|
576 |
+
"recast/recast_megaveridicality",
|
577 |
"recast/recast_sentiment",
|
|
|
|
|
578 |
"recast/recast_verbcorner",
|
|
|
|
|
579 |
"probability_words_nli/usnli",
|
580 |
"probability_words_nli/reasoning_1hop",
|
581 |
+
"probability_words_nli/reasoning_2hop",
|
582 |
"nan-nli/joey234--nan-nli",
|
583 |
"nli_fever",
|
584 |
"breaking_nli",
|
|
|
602 |
"robust_nli_is_sd",
|
603 |
"robust_nli_li_ts",
|
604 |
"add_one_rte",
|
605 |
+
"imppres/implicature_numerals_10_100/log",
|
606 |
+
"imppres/implicature_connectives/log",
|
607 |
"imppres/implicature_modals/log",
|
608 |
"imppres/implicature_gradable_verb/log",
|
609 |
"imppres/implicature_gradable_adjective/log",
|
610 |
+
"imppres/implicature_numerals_2_3/log",
|
|
|
611 |
"imppres/implicature_quantifiers/log",
|
612 |
"glue_diagnostics/diagnostics",
|
613 |
"hlgd",
|
|
|
621 |
"model-written-evals",
|
622 |
"truthful_qa/multiple_choice",
|
623 |
"fig-qa",
|
|
|
|
|
|
|
624 |
"bigbench/physical_intuition",
|
625 |
+
"bigbench/authorship_verification",
|
626 |
+
"bigbench/implicit_relations",
|
627 |
+
"bigbench/dyck_languages",
|
628 |
+
"bigbench/novel_concepts",
|
629 |
+
"bigbench/moral_permissibility",
|
630 |
+
"bigbench/metaphor_understanding",
|
631 |
+
"bigbench/temporal_sequences",
|
632 |
+
"bigbench/sports_understanding",
|
633 |
+
"bigbench/analytic_entailment",
|
634 |
+
"bigbench/social_support",
|
635 |
+
"bigbench/emoji_movie",
|
636 |
"bigbench/dark_humor_detection",
|
637 |
+
"bigbench/suicide_risk",
|
638 |
+
"bigbench/fact_checker",
|
|
|
639 |
"bigbench/hhh_alignment",
|
640 |
+
"bigbench/formal_fallacies_syllogisms_negation",
|
641 |
+
"bigbench/bbq_lite_json",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
642 |
"bigbench/cause_and_effect",
|
643 |
+
"bigbench/logic_grid_puzzle",
|
644 |
+
"bigbench/empirical_judgments",
|
645 |
+
"bigbench/human_organs_senses",
|
|
|
|
|
|
|
|
|
|
|
|
|
646 |
"bigbench/misconceptions",
|
647 |
+
"bigbench/strange_stories",
|
648 |
+
"bigbench/logical_args",
|
649 |
+
"bigbench/known_unknowns",
|
|
|
|
|
650 |
"bigbench/cs_algorithms",
|
651 |
+
"bigbench/emojis_emotion_prediction",
|
652 |
+
"bigbench/cifar10_classification",
|
653 |
+
"bigbench/penguins_in_a_table",
|
654 |
+
"bigbench/odd_one_out",
|
655 |
+
"bigbench/intent_recognition",
|
656 |
+
"bigbench/physics",
|
657 |
"bigbench/conceptual_combinations",
|
658 |
+
"bigbench/logical_deduction",
|
659 |
+
"bigbench/causal_judgment",
|
660 |
+
"bigbench/winowhy",
|
661 |
+
"bigbench/arithmetic",
|
662 |
+
"bigbench/undo_permutation",
|
663 |
+
"bigbench/analogical_similarity",
|
664 |
+
"bigbench/social_iqa",
|
665 |
+
"bigbench/key_value_maps",
|
666 |
+
"bigbench/implicatures",
|
667 |
+
"bigbench/real_or_fake_text",
|
668 |
+
"bigbench/disambiguation_qa",
|
669 |
+
"bigbench/similarities_abstraction",
|
670 |
+
"bigbench/movie_dialog_same_or_different",
|
671 |
+
"bigbench/english_proverbs",
|
672 |
"bigbench/presuppositions_as_nli",
|
673 |
+
"bigbench/entailed_polarity",
|
674 |
+
"bigbench/snarks",
|
675 |
+
"bigbench/goal_step_wikihow",
|
676 |
+
"bigbench/crass_ai",
|
677 |
+
"bigbench/play_dialog_same_or_different",
|
678 |
+
"bigbench/hindu_knowledge",
|
679 |
+
"bigbench/international_phonetic_alphabet_nli",
|
680 |
+
"bigbench/understanding_fables",
|
681 |
+
"bigbench/geometric_shapes",
|
682 |
"bigbench/code_line_description",
|
683 |
+
"bigbench/riddle_sense",
|
|
|
|
|
684 |
"bigbench/symbol_interpretation",
|
685 |
+
"bigbench/irony_identification",
|
686 |
+
"bigbench/anachronisms",
|
687 |
+
"bigbench/navigate",
|
688 |
+
"bigbench/crash_blossom",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
689 |
"bigbench/identify_odd_metaphor",
|
690 |
+
"bigbench/simple_ethical_questions",
|
691 |
+
"bigbench/contextual_parametric_knowledge_conflicts",
|
692 |
+
"bigbench/date_understanding",
|
693 |
+
"bigbench/figure_of_speech_detection",
|
694 |
+
"bigbench/question_selection",
|
695 |
+
"bigbench/elementary_math_qa",
|
696 |
+
"bigbench/nonsense_words_grammar",
|
697 |
"bigbench/salient_translation_error_detection",
|
698 |
+
"bigbench/epistemic_reasoning",
|
699 |
+
"bigbench/movie_recommendation",
|
700 |
+
"bigbench/strategyqa",
|
701 |
+
"bigbench/tracking_shuffled_objects",
|
702 |
+
"bigbench/unit_interpretation",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
703 |
"bigbench/reasoning_about_colored_objects",
|
704 |
+
"bigbench/discourse_marker_prediction",
|
705 |
+
"bigbench/logical_fallacy_detection",
|
706 |
"bigbench/general_knowledge",
|
707 |
+
"bigbench/abstract_narrative_understanding",
|
708 |
+
"bigbench/color",
|
709 |
+
"bigbench/hyperbaton",
|
710 |
+
"bigbench/logical_sequence",
|
711 |
+
"bigbench/mnist_ascii",
|
712 |
+
"bigbench/fantasy_reasoning",
|
713 |
+
"bigbench/mathematical_induction",
|
714 |
+
"bigbench/timedial",
|
715 |
+
"bigbench/identify_math_theorems",
|
716 |
"bigbench/checkmate_in_one",
|
717 |
+
"bigbench/phrase_relatedness",
|
718 |
+
"bigbench/ruin_names",
|
719 |
+
"bigbench/gre_reading_comprehension",
|
720 |
+
"bigbench/metaphor_boolean",
|
721 |
+
"bigbench/sentence_ambiguity",
|
722 |
+
"bigbench/vitaminc_fact_verification",
|
723 |
+
"bigbench/evaluating_information_essentiality",
|
724 |
"cos_e/v1.0",
|
725 |
"cosmos_qa",
|
726 |
"dream",
|
|
|
759 |
"rumoureval_2019/RumourEval2019",
|
760 |
"ethos/binary",
|
761 |
"ethos/multilabel",
|
|
|
|
|
|
|
|
|
|
|
762 |
"tweet_eval/sentiment",
|
|
|
763 |
"tweet_eval/irony",
|
764 |
+
"tweet_eval/offensive",
|
765 |
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|
766 |
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|
767 |
+
"tweet_eval/emoji",
|
768 |
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|
769 |
+
"tweet_eval/stance_atheism",
|
770 |
+
"tweet_eval/stance_climate",
|
771 |
+
"tweet_eval/stance_feminist",
|
772 |
+
"tweet_eval/stance_hillary",
|
773 |
"discovery/discovery",
|
|
|
|
|
|
|
774 |
"pragmeval/squinky-informativeness",
|
775 |
"pragmeval/emobank-arousal",
|
776 |
"pragmeval/switchboard",
|
777 |
+
"pragmeval/squinky-implicature",
|
778 |
+
"pragmeval/emobank-valence",
|
779 |
"pragmeval/mrda",
|
780 |
+
"pragmeval/squinky-formality",
|
781 |
"pragmeval/verifiability",
|
782 |
+
"pragmeval/emobank-dominance",
|
|
|
|
|
|
|
|
|
|
|
|
|
783 |
"pragmeval/persuasiveness-specificity",
|
784 |
"pragmeval/persuasiveness-strength",
|
|
|
785 |
"pragmeval/persuasiveness-claimtype",
|
786 |
"pragmeval/pdtb",
|
787 |
+
"pragmeval/sarcasm",
|
788 |
+
"pragmeval/stac",
|
789 |
+
"pragmeval/persuasiveness-premisetype",
|
790 |
+
"pragmeval/persuasiveness-eloquence",
|
791 |
+
"pragmeval/gum",
|
792 |
+
"pragmeval/emergent",
|
793 |
+
"pragmeval/persuasiveness-relevance",
|
794 |
+
"silicone/dyda_da",
|
795 |
+
"silicone/dyda_e",
|
796 |
+
"silicone/maptask",
|
797 |
+
"silicone/meld_e",
|
798 |
+
"silicone/meld_s",
|
799 |
"silicone/sem",
|
800 |
"silicone/oasis",
|
801 |
+
"silicone/iemocap",
|
|
|
|
|
|
|
|
|
802 |
"lex_glue/eurlex",
|
803 |
"lex_glue/scotus",
|
804 |
"lex_glue/ledgar",
|
|
|
828 |
"go_emotions/simplified",
|
829 |
"scicite",
|
830 |
"liar",
|
|
|
|
|
|
|
831 |
"lexical_relation_classification/ROOT09",
|
832 |
+
"lexical_relation_classification/BLESS",
|
833 |
+
"lexical_relation_classification/CogALexV",
|
834 |
"lexical_relation_classification/EVALution",
|
835 |
+
"lexical_relation_classification/K&H+N",
|
836 |
+
"linguisticprobing/coordination_inversion",
|
837 |
+
"linguisticprobing/obj_number",
|
838 |
+
"linguisticprobing/past_present",
|
839 |
+
"linguisticprobing/sentence_length",
|
840 |
"linguisticprobing/subj_number",
|
841 |
"linguisticprobing/odd_man_out",
|
842 |
"linguisticprobing/tree_depth",
|
843 |
+
"linguisticprobing/top_constituents",
|
844 |
+
"linguisticprobing/bigram_shift",
|
845 |
+
"crowdflower/political-media-message",
|
|
|
846 |
"crowdflower/political-media-audience",
|
|
|
847 |
"crowdflower/economic-news",
|
848 |
+
"crowdflower/text_emotion",
|
849 |
+
"crowdflower/political-media-bias",
|
850 |
"crowdflower/airline-sentiment",
|
851 |
"crowdflower/tweet_global_warming",
|
852 |
+
"crowdflower/corporate-messaging",
|
853 |
"crowdflower/sentiment_nuclear_power",
|
|
|
|
|
854 |
"ethics/commonsense",
|
855 |
"ethics/deontology",
|
856 |
"ethics/justice",
|
|
|
866 |
"ontonotes_english/SpeedOfMagic--ontonotes_english",
|
867 |
"blog_authorship_corpus/gender",
|
868 |
"blog_authorship_corpus/age",
|
|
|
869 |
"blog_authorship_corpus/job",
|
870 |
"open_question_type",
|
871 |
"health_fact",
|
|
|
913 |
"scruples",
|
914 |
"wouldyourather",
|
915 |
"attempto-nli",
|
|
|
916 |
"defeasible-nli/snli",
|
917 |
+
"defeasible-nli/atomic",
|
918 |
"help-nli",
|
919 |
"nli-veridicality-transitivity",
|
920 |
"natural-language-satisfiability",
|
|
|
937 |
"redefine-math",
|
938 |
"puzzte",
|
939 |
"implicatures",
|
|
|
940 |
"race/high",
|
941 |
+
"race/middle",
|
942 |
"race-c",
|
943 |
"spartqa-yn",
|
944 |
"spartqa-mchoice",
|
|
|
964 |
"oasst1_dense_flat/helpfulness",
|
965 |
"PARARULE-Plus",
|
966 |
"mindgames",
|
|
|
967 |
"universal_dependencies/en_lines/deprel",
|
968 |
"universal_dependencies/en_partut/deprel",
|
969 |
+
"universal_dependencies/en_ewt/deprel",
|
970 |
"universal_dependencies/en_gum/deprel",
|
971 |
"ambient",
|
972 |
"path-naturalness-prediction",
|
|
|
1012 |
"TroFi",
|
1013 |
"sharc_modified/mod",
|
1014 |
"conceptrules_v2",
|
1015 |
+
"disrpt/eng.dep.scidtb.rels",
|
1016 |
"conll2000",
|
1017 |
"few-nerd/supervised",
|
1018 |
"finer-139",
|
|
|
1034 |
"esci",
|
1035 |
"chatbot_arena_conversations",
|
1036 |
"dnd_style_intents",
|
1037 |
+
"FLD.v2",
|
1038 |
+
"SDOH-NLI",
|
1039 |
+
"scifact_entailment",
|
1040 |
+
"feasibilityQA",
|
1041 |
+
"simple_pair",
|
1042 |
+
"AdjectiveScaleProbe-nli",
|
1043 |
+
"resnli",
|
1044 |
+
"SpaRTUN",
|
1045 |
+
"ReSQ",
|
1046 |
+
"semantic_fragments_nli",
|
1047 |
+
"dataset_train_nli",
|
1048 |
"babi_nli",
|
1049 |
"gen_debiased_nli",
|
1050 |
"imppres/presupposition",
|
|
|
1053 |
"mmlu-4"
|
1054 |
],
|
1055 |
"torch_dtype": "float32",
|
1056 |
+
"transformers_version": "4.34.1",
|
1057 |
"type_vocab_size": 0,
|
1058 |
"vocab_size": 128100
|
1059 |
}
|
pytorch_model.bin
CHANGED
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|
1 |
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-
oid sha256:
|
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size
|
|
|
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+
size 737767858
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