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Upload DebertaV2ForSequenceClassification

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  1. config.json +1031 -0
  2. pytorch_model.bin +3 -0
config.json ADDED
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692
+ "bigbench/sports_understanding",
693
+ "bigbench/implicatures",
694
+ "bigbench/metaphor_understanding",
695
+ "bigbench/logical_fallacy_detection",
696
+ "bigbench/logical_deduction",
697
+ "bigbench/known_unknowns",
698
+ "bigbench/real_or_fake_text",
699
+ "bigbench/intent_recognition",
700
+ "bigbench/strategyqa",
701
+ "bigbench/symbol_interpretation",
702
+ "bigbench/implicit_relations",
703
+ "bigbench/mathematical_induction",
704
+ "bigbench/question_selection",
705
+ "bigbench/formal_fallacies_syllogisms_negation",
706
+ "bigbench/general_knowledge",
707
+ "bigbench/temporal_sequences",
708
+ "bigbench/odd_one_out",
709
+ "bigbench/key_value_maps",
710
+ "bigbench/novel_concepts",
711
+ "bigbench/dark_humor_detection",
712
+ "bigbench/sentence_ambiguity",
713
+ "bigbench/discourse_marker_prediction",
714
+ "bigbench/analogical_similarity",
715
+ "cos_e/v1.0",
716
+ "cosmos_qa",
717
+ "dream",
718
+ "openbookqa",
719
+ "qasc",
720
+ "quartz",
721
+ "quail",
722
+ "head_qa/en",
723
+ "sciq",
724
+ "social_i_qa",
725
+ "wiki_hop/original",
726
+ "wiqa",
727
+ "piqa",
728
+ "hellaswag",
729
+ "super_glue/copa",
730
+ "balanced-copa",
731
+ "e-CARE",
732
+ "art",
733
+ "winogrande/winogrande_xl",
734
+ "codah/codah",
735
+ "ai2_arc/ARC-Challenge/challenge",
736
+ "ai2_arc/ARC-Easy/challenge",
737
+ "definite_pronoun_resolution",
738
+ "swag/regular",
739
+ "math_qa",
740
+ "glue/cola",
741
+ "glue/sst2",
742
+ "utilitarianism",
743
+ "amazon_counterfactual/en",
744
+ "insincere-questions",
745
+ "toxic_conversations",
746
+ "TuringBench",
747
+ "trec",
748
+ "vitaminc/tals--vitaminc",
749
+ "hope_edi/english",
750
+ "rumoureval_2019/RumourEval2019",
751
+ "ethos/binary",
752
+ "ethos/multilabel",
753
+ "tweet_eval/offensive",
754
+ "tweet_eval/stance_hillary",
755
+ "tweet_eval/stance_feminist",
756
+ "tweet_eval/stance_climate",
757
+ "tweet_eval/stance_abortion",
758
+ "tweet_eval/sentiment",
759
+ "tweet_eval/emoji",
760
+ "tweet_eval/emotion",
761
+ "tweet_eval/hate",
762
+ "tweet_eval/irony",
763
+ "tweet_eval/stance_atheism",
764
+ "discovery/discovery",
765
+ "pragmeval/squinky-formality",
766
+ "pragmeval/emobank-valence",
767
+ "pragmeval/switchboard",
768
+ "pragmeval/emobank-dominance",
769
+ "pragmeval/emobank-arousal",
770
+ "pragmeval/squinky-implicature",
771
+ "pragmeval/squinky-informativeness",
772
+ "pragmeval/mrda",
773
+ "pragmeval/verifiability",
774
+ "pragmeval/emergent",
775
+ "pragmeval/persuasiveness-claimtype",
776
+ "pragmeval/persuasiveness-eloquence",
777
+ "pragmeval/persuasiveness-premisetype",
778
+ "pragmeval/gum",
779
+ "pragmeval/pdtb",
780
+ "pragmeval/persuasiveness-specificity",
781
+ "pragmeval/persuasiveness-strength",
782
+ "pragmeval/sarcasm",
783
+ "pragmeval/persuasiveness-relevance",
784
+ "pragmeval/stac",
785
+ "silicone/iemocap",
786
+ "silicone/sem",
787
+ "silicone/oasis",
788
+ "silicone/meld_s",
789
+ "silicone/meld_e",
790
+ "silicone/maptask",
791
+ "silicone/dyda_e",
792
+ "silicone/dyda_da",
793
+ "lex_glue/eurlex",
794
+ "lex_glue/scotus",
795
+ "lex_glue/ledgar",
796
+ "lex_glue/unfair_tos",
797
+ "lex_glue/case_hold",
798
+ "language-identification",
799
+ "imdb",
800
+ "rotten_tomatoes",
801
+ "ag_news",
802
+ "yelp_review_full/yelp_review_full",
803
+ "financial_phrasebank/sentences_allagree",
804
+ "poem_sentiment",
805
+ "dbpedia_14/dbpedia_14",
806
+ "amazon_polarity/amazon_polarity",
807
+ "app_reviews",
808
+ "hate_speech18",
809
+ "sms_spam",
810
+ "humicroedit/subtask-1",
811
+ "humicroedit/subtask-2",
812
+ "snips_built_in_intents",
813
+ "hate_speech_offensive",
814
+ "yahoo_answers_topics",
815
+ "stackoverflow-questions",
816
+ "hyperpartisan_news",
817
+ "sciie",
818
+ "citation_intent",
819
+ "go_emotions/simplified",
820
+ "scicite",
821
+ "liar",
822
+ "lexical_relation_classification/EVALution",
823
+ "lexical_relation_classification/CogALexV",
824
+ "lexical_relation_classification/ROOT09",
825
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826
+ "lexical_relation_classification/K&H+N",
827
+ "linguisticprobing/bigram_shift",
828
+ "linguisticprobing/top_constituents",
829
+ "linguisticprobing/sentence_length",
830
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831
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832
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833
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834
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835
+ "linguisticprobing/coordination_inversion",
836
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837
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838
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839
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840
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841
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842
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843
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844
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845
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846
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847
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848
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849
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850
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851
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852
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853
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854
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855
+ "acronym_identification",
856
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857
+ "ontonotes_english/SpeedOfMagic--ontonotes_english",
858
+ "blog_authorship_corpus/gender",
859
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860
+ "blog_authorship_corpus/horoscope",
861
+ "blog_authorship_corpus/job",
862
+ "open_question_type",
863
+ "health_fact",
864
+ "commonsense_qa",
865
+ "mc_taco",
866
+ "ade_corpus_v2/Ade_corpus_v2_classification",
867
+ "discosense",
868
+ "circa",
869
+ "EffectiveFeedbackStudentWriting",
870
+ "phrase_similarity",
871
+ "scientific-exaggeration-detection",
872
+ "quarel",
873
+ "fever-evidence-related/mwong--fever-related",
874
+ "numer_sense",
875
+ "dynasent/dynabench.dynasent.r1.all/r1",
876
+ "dynasent/dynabench.dynasent.r2.all/r2",
877
+ "Sarcasm_News_Headline",
878
+ "sem_eval_2010_task_8",
879
+ "auditor_review/demo-org--auditor_review",
880
+ "medmcqa",
881
+ "Dynasent_Disagreement",
882
+ "Politeness_Disagreement",
883
+ "SBIC_Disagreement",
884
+ "SChem_Disagreement",
885
+ "Dilemmas_Disagreement",
886
+ "logiqa",
887
+ "wiki_qa",
888
+ "cycic_classification",
889
+ "cycic_multiplechoice",
890
+ "sts-companion",
891
+ "commonsense_qa_2.0",
892
+ "lingnli",
893
+ "monotonicity-entailment",
894
+ "arct",
895
+ "scinli",
896
+ "naturallogic",
897
+ "onestop_qa",
898
+ "moral_stories/full",
899
+ "prost",
900
+ "dynahate",
901
+ "syntactic-augmentation-nli",
902
+ "autotnli",
903
+ "CONDAQA",
904
+ "webgpt_comparisons",
905
+ "synthetic-instruct-gptj-pairwise",
906
+ "scruples",
907
+ "wouldyourather",
908
+ "attempto-nli",
909
+ "defeasible-nli/snli",
910
+ "defeasible-nli/atomic",
911
+ "help-nli",
912
+ "nli-veridicality-transitivity",
913
+ "natural-language-satisfiability",
914
+ "lonli",
915
+ "dadc-limit-nli",
916
+ "FLUTE",
917
+ "strategy-qa",
918
+ "summarize_from_feedback/comparisons",
919
+ "folio",
920
+ "tomi-nli",
921
+ "avicenna",
922
+ "SHP",
923
+ "MedQA-USMLE-4-options-hf",
924
+ "wikimedqa/medwiki",
925
+ "cicero",
926
+ "CREAK",
927
+ "mutual",
928
+ "NeQA",
929
+ "quote-repetition",
930
+ "redefine-math",
931
+ "puzzte",
932
+ "implicatures",
933
+ "race/middle",
934
+ "race/high",
935
+ "race-c",
936
+ "spartqa-yn",
937
+ "spartqa-mchoice",
938
+ "temporal-nli",
939
+ "riddle_sense",
940
+ "clcd-english",
941
+ "twentyquestions",
942
+ "reclor",
943
+ "counterfactually-augmented-imdb",
944
+ "counterfactually-augmented-snli",
945
+ "cnli",
946
+ "boolq-natural-perturbations",
947
+ "acceptability-prediction",
948
+ "equate",
949
+ "ScienceQA_text_only",
950
+ "ekar_english",
951
+ "implicit-hate-stg1",
952
+ "chaos-mnli-ambiguity",
953
+ "headline_cause/en_simple",
954
+ "logiqa-2.0-nli",
955
+ "oasst1_dense_flat/quality",
956
+ "oasst1_dense_flat/toxicity",
957
+ "oasst1_dense_flat/helpfulness",
958
+ "PARARULE-Plus",
959
+ "mindgames",
960
+ "universal_dependencies/en_partut/deprel",
961
+ "universal_dependencies/en_lines/deprel",
962
+ "universal_dependencies/en_ewt/deprel",
963
+ "universal_dependencies/en_gum/deprel",
964
+ "ambient",
965
+ "path-naturalness-prediction",
966
+ "civil_comments/toxicity",
967
+ "civil_comments/severe_toxicity",
968
+ "civil_comments/obscene",
969
+ "civil_comments/threat",
970
+ "civil_comments/insult",
971
+ "civil_comments/identity_attack",
972
+ "civil_comments/sexual_explicit",
973
+ "cloth",
974
+ "dgen",
975
+ "oasst1_pairwise_rlhf_reward",
976
+ "I2D2",
977
+ "args_me",
978
+ "Touche23-ValueEval",
979
+ "starcon",
980
+ "banking77",
981
+ "ruletaker",
982
+ "lsat_qa/all",
983
+ "ConTRoL-nli",
984
+ "tracie",
985
+ "sherliic",
986
+ "sen-making/1",
987
+ "sen-making/2",
988
+ "winowhy",
989
+ "mbib-base/cognitive-bias",
990
+ "mbib-base/fake-news",
991
+ "mbib-base/gender-bias",
992
+ "mbib-base/hate-speech",
993
+ "mbib-base/linguistic-bias",
994
+ "mbib-base/political-bias",
995
+ "mbib-base/racial-bias",
996
+ "mbib-base/text-level-bias",
997
+ "robustLR",
998
+ "v1/gen_train234_test2to10",
999
+ "logical-fallacy",
1000
+ "parade",
1001
+ "cladder",
1002
+ "subjectivity",
1003
+ "MOH",
1004
+ "VUAC",
1005
+ "TroFi",
1006
+ "sharc_modified/mod",
1007
+ "conceptrules_v2",
1008
+ "disrpt/eng.dep.scidtb",
1009
+ "conll2000",
1010
+ "few-nerd/supervised",
1011
+ "finer-139",
1012
+ "zero-shot-label-nli",
1013
+ "com2sense",
1014
+ "scone",
1015
+ "winodict",
1016
+ "fool-me-twice",
1017
+ "monli",
1018
+ "lsat_qa/all",
1019
+ "apt",
1020
+ "babi_nli",
1021
+ "gen_debiased_nli",
1022
+ "imppres/presupposition",
1023
+ "/prag",
1024
+ "blimp-2",
1025
+ "mmlu-4"
1026
+ ],
1027
+ "torch_dtype": "float32",
1028
+ "transformers_version": "4.30.2",
1029
+ "type_vocab_size": 0,
1030
+ "vocab_size": 128100
1031
+ }
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