Upload folder using huggingface_hub
Browse files- added_tokens.json +3 -0
- config.json +1107 -0
- model.onnx +3 -0
- special_tokens_map.json +51 -0
- spm.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +65 -0
added_tokens.json
ADDED
@@ -0,0 +1,3 @@
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{
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"[MASK]": 128000
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}
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config.json
ADDED
@@ -0,0 +1,1107 @@
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{
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"_name_or_path": "tasksource/deberta-base-long-nli",
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"architectures": [
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"DebertaV2ForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifiers_size": [
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"imppres/implicature_numerals_10_100/log",
|
632 |
+
"imppres/implicature_quantifiers/log",
|
633 |
+
"imppres/implicature_connectives/log",
|
634 |
+
"imppres/implicature_gradable_verb/log",
|
635 |
+
"imppres/implicature_numerals_2_3/log",
|
636 |
+
"hlgd",
|
637 |
+
"paws/labeled_final",
|
638 |
+
"paws/labeled_swap",
|
639 |
+
"medical_questions_pairs",
|
640 |
+
"model-written-evals",
|
641 |
+
"truthful_qa/multiple_choice",
|
642 |
+
"fig-qa",
|
643 |
+
"bigbench/discourse_marker_prediction",
|
644 |
+
"bigbench/gre_reading_comprehension",
|
645 |
+
"bigbench/simple_ethical_questions",
|
646 |
+
"bigbench/known_unknowns",
|
647 |
+
"bigbench/fact_checker",
|
648 |
+
"bigbench/phrase_relatedness",
|
649 |
+
"bigbench/irony_identification",
|
650 |
+
"bigbench/crash_blossom",
|
651 |
+
"bigbench/physical_intuition",
|
652 |
+
"bigbench/analytic_entailment",
|
653 |
+
"bigbench/play_dialog_same_or_different",
|
654 |
+
"bigbench/metaphor_boolean",
|
655 |
+
"bigbench/undo_permutation",
|
656 |
+
"bigbench/disambiguation_qa",
|
657 |
+
"bigbench/metaphor_understanding",
|
658 |
+
"bigbench/nonsense_words_grammar",
|
659 |
+
"bigbench/logical_deduction",
|
660 |
+
"bigbench/sentence_ambiguity",
|
661 |
+
"bigbench/key_value_maps",
|
662 |
+
"bigbench/checkmate_in_one",
|
663 |
+
"bigbench/code_line_description",
|
664 |
+
"bigbench/crass_ai",
|
665 |
+
"bigbench/movie_dialog_same_or_different",
|
666 |
+
"bigbench/strategyqa",
|
667 |
+
"bigbench/hhh_alignment",
|
668 |
+
"bigbench/english_proverbs",
|
669 |
+
"bigbench/cs_algorithms",
|
670 |
+
"bigbench/formal_fallacies_syllogisms_negation",
|
671 |
+
"bigbench/conceptual_combinations",
|
672 |
+
"bigbench/geometric_shapes",
|
673 |
+
"bigbench/tracking_shuffled_objects",
|
674 |
+
"bigbench/arithmetic",
|
675 |
+
"bigbench/misconceptions",
|
676 |
+
"bigbench/odd_one_out",
|
677 |
+
"bigbench/international_phonetic_alphabet_nli",
|
678 |
+
"bigbench/social_iqa",
|
679 |
+
"bigbench/logical_fallacy_detection",
|
680 |
+
"bigbench/hyperbaton",
|
681 |
+
"bigbench/novel_concepts",
|
682 |
+
"bigbench/similarities_abstraction",
|
683 |
+
"bigbench/timedial",
|
684 |
+
"bigbench/salient_translation_error_detection",
|
685 |
+
"bigbench/cifar10_classification",
|
686 |
+
"bigbench/winowhy",
|
687 |
+
"bigbench/mathematical_induction",
|
688 |
+
"bigbench/real_or_fake_text",
|
689 |
+
"bigbench/epistemic_reasoning",
|
690 |
+
"bigbench/riddle_sense",
|
691 |
+
"bigbench/identify_odd_metaphor",
|
692 |
+
"bigbench/human_organs_senses",
|
693 |
+
"bigbench/emojis_emotion_prediction",
|
694 |
+
"bigbench/logical_args",
|
695 |
+
"bigbench/anachronisms",
|
696 |
+
"bigbench/bbq_lite_json",
|
697 |
+
"bigbench/general_knowledge",
|
698 |
+
"bigbench/logical_sequence",
|
699 |
+
"bigbench/navigate",
|
700 |
+
"bigbench/analogical_similarity",
|
701 |
+
"bigbench/authorship_verification",
|
702 |
+
"bigbench/elementary_math_qa",
|
703 |
+
"bigbench/goal_step_wikihow",
|
704 |
+
"bigbench/empirical_judgments",
|
705 |
+
"bigbench/question_selection",
|
706 |
+
"bigbench/temporal_sequences",
|
707 |
+
"bigbench/mnist_ascii",
|
708 |
+
"bigbench/color",
|
709 |
+
"bigbench/date_understanding",
|
710 |
+
"bigbench/figure_of_speech_detection",
|
711 |
+
"bigbench/contextual_parametric_knowledge_conflicts",
|
712 |
+
"bigbench/ruin_names",
|
713 |
+
"bigbench/abstract_narrative_understanding",
|
714 |
+
"bigbench/physics",
|
715 |
+
"bigbench/understanding_fables",
|
716 |
+
"bigbench/identify_math_theorems",
|
717 |
+
"bigbench/penguins_in_a_table",
|
718 |
+
"bigbench/vitaminc_fact_verification",
|
719 |
+
"bigbench/social_support",
|
720 |
+
"bigbench/strange_stories",
|
721 |
+
"bigbench/dark_humor_detection",
|
722 |
+
"bigbench/fantasy_reasoning",
|
723 |
+
"bigbench/logic_grid_puzzle",
|
724 |
+
"bigbench/emoji_movie",
|
725 |
+
"bigbench/moral_permissibility",
|
726 |
+
"bigbench/symbol_interpretation",
|
727 |
+
"bigbench/presuppositions_as_nli",
|
728 |
+
"bigbench/dyck_languages",
|
729 |
+
"bigbench/implicatures",
|
730 |
+
"bigbench/suicide_risk",
|
731 |
+
"bigbench/unit_interpretation",
|
732 |
+
"bigbench/intent_recognition",
|
733 |
+
"bigbench/movie_recommendation",
|
734 |
+
"bigbench/snarks",
|
735 |
+
"bigbench/evaluating_information_essentiality",
|
736 |
+
"bigbench/sports_understanding",
|
737 |
+
"bigbench/entailed_polarity",
|
738 |
+
"bigbench/causal_judgment",
|
739 |
+
"bigbench/cause_and_effect",
|
740 |
+
"bigbench/implicit_relations",
|
741 |
+
"bigbench/reasoning_about_colored_objects",
|
742 |
+
"bigbench/hindu_knowledge",
|
743 |
+
"cos_e/v1.0",
|
744 |
+
"cosmos_qa",
|
745 |
+
"dream",
|
746 |
+
"openbookqa",
|
747 |
+
"qasc",
|
748 |
+
"quartz",
|
749 |
+
"quail",
|
750 |
+
"head_qa/en",
|
751 |
+
"sciq",
|
752 |
+
"social_i_qa",
|
753 |
+
"wiki_hop/original",
|
754 |
+
"wiqa",
|
755 |
+
"piqa",
|
756 |
+
"hellaswag",
|
757 |
+
"super_glue/copa",
|
758 |
+
"balanced-copa",
|
759 |
+
"e-CARE",
|
760 |
+
"art",
|
761 |
+
"winogrande/winogrande_xl",
|
762 |
+
"codah/codah",
|
763 |
+
"ai2_arc/ARC-Easy/challenge",
|
764 |
+
"ai2_arc/ARC-Challenge/challenge",
|
765 |
+
"definite_pronoun_resolution",
|
766 |
+
"swag/regular",
|
767 |
+
"math_qa",
|
768 |
+
"glue/cola",
|
769 |
+
"glue/sst2",
|
770 |
+
"utilitarianism",
|
771 |
+
"amazon_counterfactual/en",
|
772 |
+
"insincere-questions",
|
773 |
+
"toxic_conversations",
|
774 |
+
"TuringBench",
|
775 |
+
"trec",
|
776 |
+
"vitaminc",
|
777 |
+
"hope_edi/english",
|
778 |
+
"rumoureval_2019/RumourEval2019",
|
779 |
+
"ethos/binary",
|
780 |
+
"ethos/multilabel",
|
781 |
+
"tweet_eval/emoji",
|
782 |
+
"tweet_eval/offensive",
|
783 |
+
"tweet_eval/emotion",
|
784 |
+
"tweet_eval/hate",
|
785 |
+
"tweet_eval/irony",
|
786 |
+
"tweet_eval/sentiment",
|
787 |
+
"tweet_eval/stance_abortion",
|
788 |
+
"tweet_eval/stance_atheism",
|
789 |
+
"tweet_eval/stance_climate",
|
790 |
+
"tweet_eval/stance_feminist",
|
791 |
+
"tweet_eval/stance_hillary",
|
792 |
+
"discovery/discovery",
|
793 |
+
"pragmeval/squinky-formality",
|
794 |
+
"pragmeval/switchboard",
|
795 |
+
"pragmeval/verifiability",
|
796 |
+
"pragmeval/mrda",
|
797 |
+
"pragmeval/squinky-informativeness",
|
798 |
+
"pragmeval/squinky-implicature",
|
799 |
+
"pragmeval/emobank-arousal",
|
800 |
+
"pragmeval/emobank-dominance",
|
801 |
+
"pragmeval/emobank-valence",
|
802 |
+
"pragmeval/sarcasm",
|
803 |
+
"pragmeval/pdtb",
|
804 |
+
"pragmeval/persuasiveness-claimtype",
|
805 |
+
"pragmeval/persuasiveness-relevance",
|
806 |
+
"pragmeval/persuasiveness-premisetype",
|
807 |
+
"pragmeval/persuasiveness-eloquence",
|
808 |
+
"pragmeval/persuasiveness-strength",
|
809 |
+
"pragmeval/stac",
|
810 |
+
"pragmeval/persuasiveness-specificity",
|
811 |
+
"pragmeval/gum",
|
812 |
+
"pragmeval/emergent",
|
813 |
+
"silicone/sem",
|
814 |
+
"silicone/meld_e",
|
815 |
+
"silicone/iemocap",
|
816 |
+
"silicone/maptask",
|
817 |
+
"silicone/dyda_e",
|
818 |
+
"silicone/dyda_da",
|
819 |
+
"silicone/oasis",
|
820 |
+
"silicone/meld_s",
|
821 |
+
"lex_glue/eurlex",
|
822 |
+
"lex_glue/scotus",
|
823 |
+
"lex_glue/ledgar",
|
824 |
+
"lex_glue/unfair_tos",
|
825 |
+
"lex_glue/case_hold",
|
826 |
+
"language-identification",
|
827 |
+
"imdb",
|
828 |
+
"rotten_tomatoes",
|
829 |
+
"ag_news",
|
830 |
+
"yelp_review_full/yelp_review_full",
|
831 |
+
"financial_phrasebank/sentences_allagree",
|
832 |
+
"poem_sentiment",
|
833 |
+
"dbpedia_14/dbpedia_14",
|
834 |
+
"amazon_polarity/amazon_polarity",
|
835 |
+
"app_reviews",
|
836 |
+
"hate_speech18",
|
837 |
+
"sms_spam",
|
838 |
+
"humicroedit/subtask-1",
|
839 |
+
"humicroedit/subtask-2",
|
840 |
+
"snips_built_in_intents",
|
841 |
+
"hate_speech_offensive",
|
842 |
+
"yahoo_answers_topics",
|
843 |
+
"stackoverflow-questions",
|
844 |
+
"hyperpartisan_news",
|
845 |
+
"sciie",
|
846 |
+
"citation_intent",
|
847 |
+
"go_emotions/simplified",
|
848 |
+
"scicite",
|
849 |
+
"liar",
|
850 |
+
"lexical_relation_classification/EVALution",
|
851 |
+
"lexical_relation_classification/ROOT09",
|
852 |
+
"lexical_relation_classification/K&H+N",
|
853 |
+
"lexical_relation_classification/CogALexV",
|
854 |
+
"lexical_relation_classification/BLESS",
|
855 |
+
"linguisticprobing/subj_number",
|
856 |
+
"linguisticprobing/past_present",
|
857 |
+
"linguisticprobing/obj_number",
|
858 |
+
"linguisticprobing/sentence_length",
|
859 |
+
"linguisticprobing/top_constituents",
|
860 |
+
"linguisticprobing/tree_depth",
|
861 |
+
"linguisticprobing/coordination_inversion",
|
862 |
+
"linguisticprobing/odd_man_out",
|
863 |
+
"linguisticprobing/bigram_shift",
|
864 |
+
"crowdflower/political-media-message",
|
865 |
+
"crowdflower/text_emotion",
|
866 |
+
"crowdflower/political-media-audience",
|
867 |
+
"crowdflower/economic-news",
|
868 |
+
"crowdflower/corporate-messaging",
|
869 |
+
"crowdflower/airline-sentiment",
|
870 |
+
"crowdflower/tweet_global_warming",
|
871 |
+
"crowdflower/sentiment_nuclear_power",
|
872 |
+
"crowdflower/political-media-bias",
|
873 |
+
"ethics/commonsense",
|
874 |
+
"ethics/deontology",
|
875 |
+
"ethics/justice",
|
876 |
+
"ethics/virtue",
|
877 |
+
"emo/emo2019",
|
878 |
+
"google_wellformed_query",
|
879 |
+
"tweets_hate_speech_detection",
|
880 |
+
"has_part",
|
881 |
+
"blog_authorship_corpus/gender",
|
882 |
+
"blog_authorship_corpus/age",
|
883 |
+
"blog_authorship_corpus/job",
|
884 |
+
"open_question_type",
|
885 |
+
"health_fact",
|
886 |
+
"commonsense_qa",
|
887 |
+
"mc_taco",
|
888 |
+
"ade_corpus_v2/Ade_corpus_v2_classification",
|
889 |
+
"discosense",
|
890 |
+
"circa",
|
891 |
+
"phrase_similarity",
|
892 |
+
"scientific-exaggeration-detection",
|
893 |
+
"quarel",
|
894 |
+
"fever-evidence-related",
|
895 |
+
"numer_sense",
|
896 |
+
"dynasent/dynabench.dynasent.r1.all/r1",
|
897 |
+
"dynasent/dynabench.dynasent.r2.all/r2",
|
898 |
+
"Sarcasm_News_Headline",
|
899 |
+
"sem_eval_2010_task_8",
|
900 |
+
"auditor_review",
|
901 |
+
"medmcqa",
|
902 |
+
"Dynasent_Disagreement",
|
903 |
+
"Politeness_Disagreement",
|
904 |
+
"SBIC_Disagreement",
|
905 |
+
"SChem_Disagreement",
|
906 |
+
"Dilemmas_Disagreement",
|
907 |
+
"logiqa",
|
908 |
+
"wiki_qa",
|
909 |
+
"cycic_classification",
|
910 |
+
"cycic_multiplechoice",
|
911 |
+
"sts-companion",
|
912 |
+
"commonsense_qa_2.0",
|
913 |
+
"lingnli",
|
914 |
+
"monotonicity-entailment",
|
915 |
+
"arct",
|
916 |
+
"scinli",
|
917 |
+
"naturallogic",
|
918 |
+
"onestop_qa",
|
919 |
+
"moral_stories/full",
|
920 |
+
"prost",
|
921 |
+
"dynahate",
|
922 |
+
"syntactic-augmentation-nli",
|
923 |
+
"autotnli",
|
924 |
+
"CONDAQA",
|
925 |
+
"webgpt_comparisons",
|
926 |
+
"synthetic-instruct-gptj-pairwise",
|
927 |
+
"scruples",
|
928 |
+
"wouldyourather",
|
929 |
+
"defeasible-nli/atomic",
|
930 |
+
"defeasible-nli/snli",
|
931 |
+
"help-nli",
|
932 |
+
"nli-veridicality-transitivity",
|
933 |
+
"lonli",
|
934 |
+
"dadc-limit-nli",
|
935 |
+
"FLUTE",
|
936 |
+
"strategy-qa",
|
937 |
+
"summarize_from_feedback/comparisons",
|
938 |
+
"folio",
|
939 |
+
"tomi-nli",
|
940 |
+
"avicenna",
|
941 |
+
"SHP",
|
942 |
+
"MedQA-USMLE-4-options-hf",
|
943 |
+
"wikimedqa/medwiki",
|
944 |
+
"cicero",
|
945 |
+
"CREAK",
|
946 |
+
"mutual",
|
947 |
+
"NeQA",
|
948 |
+
"quote-repetition",
|
949 |
+
"redefine-math",
|
950 |
+
"puzzte",
|
951 |
+
"implicatures",
|
952 |
+
"race/high",
|
953 |
+
"race/middle",
|
954 |
+
"race-c",
|
955 |
+
"spartqa-yn",
|
956 |
+
"spartqa-mchoice",
|
957 |
+
"temporal-nli",
|
958 |
+
"riddle_sense",
|
959 |
+
"clcd-english",
|
960 |
+
"twentyquestions",
|
961 |
+
"reclor",
|
962 |
+
"counterfactually-augmented-imdb",
|
963 |
+
"counterfactually-augmented-snli",
|
964 |
+
"cnli",
|
965 |
+
"boolq-natural-perturbations",
|
966 |
+
"acceptability-prediction",
|
967 |
+
"equate",
|
968 |
+
"ScienceQA_text_only",
|
969 |
+
"ekar_english",
|
970 |
+
"implicit-hate-stg1",
|
971 |
+
"chaos-mnli-ambiguity",
|
972 |
+
"headline_cause/en_simple",
|
973 |
+
"logiqa-2.0-nli",
|
974 |
+
"oasst2_dense_flat/quality",
|
975 |
+
"oasst2_dense_flat/toxicity",
|
976 |
+
"oasst2_dense_flat/helpfulness",
|
977 |
+
"mindgames",
|
978 |
+
"ambient",
|
979 |
+
"path-naturalness-prediction",
|
980 |
+
"civil_comments/toxicity",
|
981 |
+
"civil_comments/severe_toxicity",
|
982 |
+
"civil_comments/obscene",
|
983 |
+
"civil_comments/threat",
|
984 |
+
"civil_comments/insult",
|
985 |
+
"civil_comments/identity_attack",
|
986 |
+
"civil_comments/sexual_explicit",
|
987 |
+
"cloth",
|
988 |
+
"dgen",
|
989 |
+
"I2D2",
|
990 |
+
"args_me",
|
991 |
+
"Touche23-ValueEval",
|
992 |
+
"starcon",
|
993 |
+
"banking77",
|
994 |
+
"ConTRoL-nli",
|
995 |
+
"tracie",
|
996 |
+
"sherliic",
|
997 |
+
"sen-making/1",
|
998 |
+
"sen-making/2",
|
999 |
+
"winowhy",
|
1000 |
+
"robustLR",
|
1001 |
+
"v1/gen_train234_test2to10",
|
1002 |
+
"logical-fallacy",
|
1003 |
+
"parade",
|
1004 |
+
"cladder",
|
1005 |
+
"subjectivity",
|
1006 |
+
"MOH",
|
1007 |
+
"VUAC",
|
1008 |
+
"sharc_modified/mod",
|
1009 |
+
"conceptrules_v2",
|
1010 |
+
"disrpt/eng.dep.scidtb.rels",
|
1011 |
+
"zero-shot-label-nli",
|
1012 |
+
"com2sense",
|
1013 |
+
"scone",
|
1014 |
+
"winodict",
|
1015 |
+
"fool-me-twice",
|
1016 |
+
"monli",
|
1017 |
+
"corr2cause",
|
1018 |
+
"lsat_qa/all",
|
1019 |
+
"apt",
|
1020 |
+
"twitter-financial-news-sentiment",
|
1021 |
+
"icl-symbol-tuning-instruct",
|
1022 |
+
"SpaceNLI",
|
1023 |
+
"propsegment/nli",
|
1024 |
+
"HatemojiBuild",
|
1025 |
+
"regset",
|
1026 |
+
"esci",
|
1027 |
+
"chatbot_arena_conversations",
|
1028 |
+
"dnd_style_intents",
|
1029 |
+
"FLD.v2/default",
|
1030 |
+
"FLD.v2/star",
|
1031 |
+
"SDOH-NLI",
|
1032 |
+
"scifact_entailment",
|
1033 |
+
"feasibilityQA",
|
1034 |
+
"simple_pair",
|
1035 |
+
"AdjectiveScaleProbe-nli",
|
1036 |
+
"resnli",
|
1037 |
+
"SpaRTUN",
|
1038 |
+
"ReSQ",
|
1039 |
+
"semantic_fragments_nli",
|
1040 |
+
"dataset_train_nli",
|
1041 |
+
"stepgame",
|
1042 |
+
"nlgraph",
|
1043 |
+
"oasst2_pairwise_rlhf_reward",
|
1044 |
+
"hh-rlhf/helpful-online",
|
1045 |
+
"hh-rlhf/helpful-rejection-sampled",
|
1046 |
+
"hh-rlhf/helpful-base",
|
1047 |
+
"hh-rlhf/harmless-base",
|
1048 |
+
"ruletaker",
|
1049 |
+
"PARARULE-Plus",
|
1050 |
+
"proofwriter",
|
1051 |
+
"logical-entailment",
|
1052 |
+
"nope",
|
1053 |
+
"LogicNLI",
|
1054 |
+
"contract-nli/contractnli_a/seg",
|
1055 |
+
"contract-nli/contractnli_b/full",
|
1056 |
+
"nli4ct_semeval2024",
|
1057 |
+
"lsat-ar",
|
1058 |
+
"lsat-rc",
|
1059 |
+
"biosift-nli",
|
1060 |
+
"brainteasers/SP",
|
1061 |
+
"brainteasers/WP",
|
1062 |
+
"persuasion",
|
1063 |
+
"AmbigNQ-clarifying-question",
|
1064 |
+
"SIGA-nli",
|
1065 |
+
"FOL-nli",
|
1066 |
+
"goal-step-wikihow/order",
|
1067 |
+
"PARADISE",
|
1068 |
+
"doc-nli",
|
1069 |
+
"mctest-nli",
|
1070 |
+
"patent-phrase-similarity",
|
1071 |
+
"natural-language-satisfiability",
|
1072 |
+
"idioms-nli",
|
1073 |
+
"lifecycle-entailment",
|
1074 |
+
"HelpSteer/helpfulness",
|
1075 |
+
"HelpSteer/correctness",
|
1076 |
+
"HelpSteer/coherence",
|
1077 |
+
"HelpSteer/complexity",
|
1078 |
+
"HelpSteer/verbosity",
|
1079 |
+
"HelpSteer2/helpfulness",
|
1080 |
+
"HelpSteer2/correctness",
|
1081 |
+
"HelpSteer2/coherence",
|
1082 |
+
"HelpSteer2/complexity",
|
1083 |
+
"HelpSteer2/verbosity",
|
1084 |
+
"MSciNLI",
|
1085 |
+
"UltraFeedback-paired",
|
1086 |
+
"AES2-essay-scoring",
|
1087 |
+
"english-grading/cohesion",
|
1088 |
+
"english-grading/syntax",
|
1089 |
+
"english-grading/vocabulary",
|
1090 |
+
"english-grading/phraseology",
|
1091 |
+
"english-grading/grammar",
|
1092 |
+
"english-grading/conventions",
|
1093 |
+
"wice",
|
1094 |
+
"hover",
|
1095 |
+
"tasksource_dpo_pairs",
|
1096 |
+
"seahorse_summarization_evaluation",
|
1097 |
+
"babi_nli",
|
1098 |
+
"gen_debiased_nli",
|
1099 |
+
"imppres/presupposition",
|
1100 |
+
"/prag",
|
1101 |
+
"blimp-2"
|
1102 |
+
],
|
1103 |
+
"torch_dtype": "float32",
|
1104 |
+
"transformers_version": "4.41.2",
|
1105 |
+
"type_vocab_size": 0,
|
1106 |
+
"vocab_size": 128100
|
1107 |
+
}
|
model.onnx
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:bd8a820f52d46be08416c5449b75d75f4a9cd498f9130ad723dced4dedd3fc3e
|
3 |
+
size 738566384
|
special_tokens_map.json
ADDED
@@ -0,0 +1,51 @@
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|
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|
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{
|
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|
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|
4 |
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|
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|
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|
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|
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|
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|
10 |
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|
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|
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|
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|
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|
15 |
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},
|
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|
17 |
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|
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|
19 |
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|
20 |
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|
21 |
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|
22 |
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|
23 |
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|
24 |
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|
25 |
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|
26 |
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|
27 |
+
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|
28 |
+
"single_word": false
|
29 |
+
},
|
30 |
+
"pad_token": {
|
31 |
+
"content": "[PAD]",
|
32 |
+
"lstrip": false,
|
33 |
+
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|
34 |
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|
35 |
+
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|
36 |
+
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|
37 |
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|
38 |
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|
39 |
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|
40 |
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|
41 |
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|
42 |
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|
43 |
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|
44 |
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|
45 |
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|
46 |
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|
47 |
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|
48 |
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|
49 |
+
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|
50 |
+
}
|
51 |
+
}
|
spm.model
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
|
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size 2464616
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,65 @@
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|
|
|
|
|
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|
1 |
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{
|
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|
3 |
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|
4 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
26 |
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},
|
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|
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|
29 |
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|
30 |
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|
31 |
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|
32 |
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|
33 |
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"special": true
|
34 |
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},
|
35 |
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|
36 |
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|
37 |
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|
38 |
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|
39 |
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|
40 |
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|
41 |
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|
42 |
+
}
|
43 |
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},
|
44 |
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|
45 |
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|
46 |
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|
47 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
56 |
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|
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|
58 |
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|
59 |
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|
60 |
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|
61 |
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|
62 |
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|
63 |
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|
64 |
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"vocab_type": "spm"
|
65 |
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}
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