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Upload DebertaV2ForSequenceClassification

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  1. config.json +184 -164
  2. pytorch_model.bin +2 -2
config.json CHANGED
@@ -219,45 +219,45 @@
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@@ -287,29 +287,29 @@
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  4,
@@ -360,7 +359,7 @@
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- 4,
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  1,
@@ -494,6 +493,17 @@
494
  4,
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  1,
496
  17,
 
 
 
 
 
 
 
 
 
 
 
497
  2,
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  3,
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  3,
@@ -558,17 +568,17 @@
558
  "scitail/snli_format",
559
  "hans",
560
  "WANLI",
561
- "recast/recast_factuality",
562
  "recast/recast_kg_relations",
 
 
563
  "recast/recast_puns",
 
564
  "recast/recast_sentiment",
565
- "recast/recast_verbnet",
566
- "recast/recast_ner",
567
  "recast/recast_verbcorner",
568
- "recast/recast_megaveridicality",
569
- "probability_words_nli/reasoning_2hop",
570
  "probability_words_nli/usnli",
571
  "probability_words_nli/reasoning_1hop",
 
572
  "nan-nli/joey234--nan-nli",
573
  "nli_fever",
574
  "breaking_nli",
@@ -592,12 +602,12 @@
592
  "robust_nli_is_sd",
593
  "robust_nli_li_ts",
594
  "add_one_rte",
595
- "imppres/implicature_numerals_2_3/log",
 
596
  "imppres/implicature_modals/log",
597
  "imppres/implicature_gradable_verb/log",
598
  "imppres/implicature_gradable_adjective/log",
599
- "imppres/implicature_connectives/log",
600
- "imppres/implicature_numerals_10_100/log",
601
  "imppres/implicature_quantifiers/log",
602
  "glue_diagnostics/diagnostics",
603
  "hlgd",
@@ -611,106 +621,106 @@
611
  "model-written-evals",
612
  "truthful_qa/multiple_choice",
613
  "fig-qa",
614
- "bigbench/analytic_entailment",
615
- "bigbench/figure_of_speech_detection",
616
- "bigbench/riddle_sense",
617
  "bigbench/physical_intuition",
618
- "bigbench/metaphor_boolean",
619
- "bigbench/epistemic_reasoning",
 
 
 
 
 
 
 
 
 
620
  "bigbench/dark_humor_detection",
621
- "bigbench/international_phonetic_alphabet_nli",
622
- "bigbench/arithmetic",
623
- "bigbench/cifar10_classification",
624
  "bigbench/hhh_alignment",
625
- "bigbench/strategyqa",
626
- "bigbench/play_dialog_same_or_different",
627
- "bigbench/odd_one_out",
628
- "bigbench/undo_permutation",
629
- "bigbench/key_value_maps",
630
- "bigbench/empirical_judgments",
631
- "bigbench/question_selection",
632
- "bigbench/date_understanding",
633
- "bigbench/vitaminc_fact_verification",
634
  "bigbench/cause_and_effect",
635
- "bigbench/known_unknowns",
636
- "bigbench/causal_judgment",
637
- "bigbench/nonsense_words_grammar",
638
- "bigbench/movie_dialog_same_or_different",
639
- "bigbench/unit_interpretation",
640
- "bigbench/abstract_narrative_understanding",
641
- "bigbench/dyck_languages",
642
- "bigbench/elementary_math_qa",
643
- "bigbench/identify_math_theorems",
644
  "bigbench/misconceptions",
645
- "bigbench/crash_blossom",
646
- "bigbench/novel_concepts",
647
- "bigbench/social_iqa",
648
- "bigbench/hindu_knowledge",
649
- "bigbench/anachronisms",
650
  "bigbench/cs_algorithms",
651
- "bigbench/ruin_names",
652
- "bigbench/phrase_relatedness",
653
- "bigbench/crass_ai",
 
 
 
654
  "bigbench/conceptual_combinations",
655
- "bigbench/discourse_marker_prediction",
656
- "bigbench/logic_grid_puzzle",
657
- "bigbench/navigate",
658
- "bigbench/emoji_movie",
659
- "bigbench/implicit_relations",
 
 
 
 
 
 
 
 
 
660
  "bigbench/presuppositions_as_nli",
 
 
 
 
 
 
 
 
 
661
  "bigbench/code_line_description",
662
- "bigbench/color",
663
- "bigbench/gre_reading_comprehension",
664
- "bigbench/physics",
665
  "bigbench/symbol_interpretation",
666
- "bigbench/tracking_shuffled_objects",
667
- "bigbench/entailed_polarity",
668
- "bigbench/mathematical_induction",
669
- "bigbench/metaphor_understanding",
670
- "bigbench/movie_recommendation",
671
- "bigbench/simple_ethical_questions",
672
- "bigbench/hyperbaton",
673
- "bigbench/english_proverbs",
674
- "bigbench/similarities_abstraction",
675
- "bigbench/emojis_emotion_prediction",
676
- "bigbench/temporal_sequences",
677
- "bigbench/human_organs_senses",
678
- "bigbench/penguins_in_a_table",
679
- "bigbench/winowhy",
680
- "bigbench/authorship_verification",
681
- "bigbench/sentence_ambiguity",
682
- "bigbench/mnist_ascii",
683
  "bigbench/identify_odd_metaphor",
684
- "bigbench/geometric_shapes",
685
- "bigbench/evaluating_information_essentiality",
686
- "bigbench/timedial",
 
 
 
 
687
  "bigbench/salient_translation_error_detection",
688
- "bigbench/suicide_risk",
689
- "bigbench/fantasy_reasoning",
690
- "bigbench/implicatures",
691
- "bigbench/logical_sequence",
692
- "bigbench/irony_identification",
693
- "bigbench/formal_fallacies_syllogisms_negation",
694
- "bigbench/understanding_fables",
695
- "bigbench/logical_args",
696
- "bigbench/analogical_similarity",
697
- "bigbench/social_support",
698
- "bigbench/logical_fallacy_detection",
699
- "bigbench/bbq_lite_json",
700
  "bigbench/reasoning_about_colored_objects",
701
- "bigbench/intent_recognition",
702
- "bigbench/contextual_parametric_knowledge_conflicts",
703
  "bigbench/general_knowledge",
704
- "bigbench/strange_stories",
705
- "bigbench/sports_understanding",
 
 
 
 
 
 
 
706
  "bigbench/checkmate_in_one",
707
- "bigbench/moral_permissibility",
708
- "bigbench/goal_step_wikihow",
709
- "bigbench/snarks",
710
- "bigbench/disambiguation_qa",
711
- "bigbench/real_or_fake_text",
712
- "bigbench/logical_deduction",
713
- "bigbench/fact_checker",
714
  "cos_e/v1.0",
715
  "cosmos_qa",
716
  "dream",
@@ -749,46 +759,46 @@
749
  "rumoureval_2019/RumourEval2019",
750
  "ethos/binary",
751
  "ethos/multilabel",
752
- "tweet_eval/stance_hillary",
753
- "tweet_eval/stance_feminist",
754
- "tweet_eval/stance_climate",
755
- "tweet_eval/stance_atheism",
756
- "tweet_eval/emoji",
757
  "tweet_eval/sentiment",
758
- "tweet_eval/offensive",
759
  "tweet_eval/irony",
 
760
  "tweet_eval/hate",
761
  "tweet_eval/emotion",
 
762
  "tweet_eval/stance_abortion",
 
 
 
 
763
  "discovery/discovery",
764
- "pragmeval/squinky-formality",
765
- "pragmeval/squinky-implicature",
766
- "pragmeval/emobank-dominance",
767
  "pragmeval/squinky-informativeness",
768
  "pragmeval/emobank-arousal",
769
  "pragmeval/switchboard",
 
 
770
  "pragmeval/mrda",
 
771
  "pragmeval/verifiability",
772
- "pragmeval/emobank-valence",
773
- "pragmeval/emergent",
774
- "pragmeval/gum",
775
- "pragmeval/stac",
776
- "pragmeval/persuasiveness-eloquence",
777
- "pragmeval/persuasiveness-premisetype",
778
- "pragmeval/persuasiveness-relevance",
779
  "pragmeval/persuasiveness-specificity",
780
  "pragmeval/persuasiveness-strength",
781
- "pragmeval/sarcasm",
782
  "pragmeval/persuasiveness-claimtype",
783
  "pragmeval/pdtb",
784
- "silicone/iemocap",
 
 
 
 
 
 
 
 
 
 
 
785
  "silicone/sem",
786
  "silicone/oasis",
787
- "silicone/meld_s",
788
- "silicone/meld_e",
789
- "silicone/maptask",
790
- "silicone/dyda_e",
791
- "silicone/dyda_da",
792
  "lex_glue/eurlex",
793
  "lex_glue/scotus",
794
  "lex_glue/ledgar",
@@ -818,29 +828,29 @@
818
  "go_emotions/simplified",
819
  "scicite",
820
  "liar",
821
- "lexical_relation_classification/K&H+N",
822
- "lexical_relation_classification/CogALexV",
823
- "lexical_relation_classification/BLESS",
824
  "lexical_relation_classification/ROOT09",
 
 
825
  "lexical_relation_classification/EVALution",
826
- "linguisticprobing/bigram_shift",
827
- "linguisticprobing/top_constituents",
 
 
 
828
  "linguisticprobing/subj_number",
829
  "linguisticprobing/odd_man_out",
830
  "linguisticprobing/tree_depth",
831
- "linguisticprobing/past_present",
832
- "linguisticprobing/sentence_length",
833
- "linguisticprobing/obj_number",
834
- "linguisticprobing/coordination_inversion",
835
  "crowdflower/political-media-audience",
836
- "crowdflower/text_emotion",
837
  "crowdflower/economic-news",
838
- "crowdflower/corporate-messaging",
 
839
  "crowdflower/airline-sentiment",
840
  "crowdflower/tweet_global_warming",
 
841
  "crowdflower/sentiment_nuclear_power",
842
- "crowdflower/political-media-bias",
843
- "crowdflower/political-media-message",
844
  "ethics/commonsense",
845
  "ethics/deontology",
846
  "ethics/justice",
@@ -856,7 +866,6 @@
856
  "ontonotes_english/SpeedOfMagic--ontonotes_english",
857
  "blog_authorship_corpus/gender",
858
  "blog_authorship_corpus/age",
859
- "blog_authorship_corpus/horoscope",
860
  "blog_authorship_corpus/job",
861
  "open_question_type",
862
  "health_fact",
@@ -904,8 +913,8 @@
904
  "scruples",
905
  "wouldyourather",
906
  "attempto-nli",
907
- "defeasible-nli/atomic",
908
  "defeasible-nli/snli",
 
909
  "help-nli",
910
  "nli-veridicality-transitivity",
911
  "natural-language-satisfiability",
@@ -928,8 +937,8 @@
928
  "redefine-math",
929
  "puzzte",
930
  "implicatures",
931
- "race/middle",
932
  "race/high",
 
933
  "race-c",
934
  "spartqa-yn",
935
  "spartqa-mchoice",
@@ -955,9 +964,9 @@
955
  "oasst1_dense_flat/helpfulness",
956
  "PARARULE-Plus",
957
  "mindgames",
958
- "universal_dependencies/en_ewt/deprel",
959
  "universal_dependencies/en_lines/deprel",
960
  "universal_dependencies/en_partut/deprel",
 
961
  "universal_dependencies/en_gum/deprel",
962
  "ambient",
963
  "path-naturalness-prediction",
@@ -1003,7 +1012,7 @@
1003
  "TroFi",
1004
  "sharc_modified/mod",
1005
  "conceptrules_v2",
1006
- "disrpt/eng.dep.scidtb",
1007
  "conll2000",
1008
  "few-nerd/supervised",
1009
  "finer-139",
@@ -1025,6 +1034,17 @@
1025
  "esci",
1026
  "chatbot_arena_conversations",
1027
  "dnd_style_intents",
 
 
 
 
 
 
 
 
 
 
 
1028
  "babi_nli",
1029
  "gen_debiased_nli",
1030
  "imppres/presupposition",
@@ -1033,7 +1053,7 @@
1033
  "mmlu-4"
1034
  ],
1035
  "torch_dtype": "float32",
1036
- "transformers_version": "4.26.1",
1037
  "type_vocab_size": 0,
1038
  "vocab_size": 128100
1039
  }
 
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+ 3,
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+ 3,
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+ 3,
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+ 3,
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  174,
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  2,
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  2,
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+ 41,
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  2,
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  2,
 
 
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  51,
 
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  2,
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  3,
 
 
 
 
 
241
  2,
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  2,
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  2,
244
  3,
245
  16,
246
+ 2,
247
+ 18,
248
+ 8,
249
+ 2,
250
+ 17,
251
  3,
252
+ 2,
253
+ 4,
254
  7,
255
  12,
256
  7,
257
+ 3,
258
+ 3,
259
+ 42,
260
+ 11,
261
  100,
262
  13,
263
  100,
 
287
  28,
288
  3,
289
  6,
 
 
 
290
  3,
291
+ 6,
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+ 5,
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  7,
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+ 4,
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  2,
 
296
  2,
297
  2,
 
 
298
  6,
299
  2,
300
  2,
301
+ 7,
302
+ 20,
303
+ 2,
304
+ 9,
305
  2,
 
306
  3,
307
+ 13,
308
+ 2,
309
  3,
310
  2,
311
  4,
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+ 4,
 
313
  2,
314
  2,
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  2,
 
325
  37,
326
  2,
327
  49,
 
328
  40,
329
  10,
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  4,
 
359
  2,
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  1,
361
  4,
362
+ 3,
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  1,
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  1,
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  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
  "tweet_eval/hate",
766
  "tweet_eval/emotion",
767
+ "tweet_eval/emoji",
768
  "tweet_eval/stance_abortion",
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
  }
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