Commit
•
2a69b31
1
Parent(s):
fea35f8
Upload DistilBertForSequenceClassification
Browse files- config.json +16 -1040
- model.safetensors +2 -2
config.json
CHANGED
@@ -1,519 +1,13 @@
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"_name_or_path": "model/
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"architectures": [
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],
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "incident",
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"1": "legislation",
|
@@ -521,541 +15,23 @@
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"3": "unrelated"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"incident": 0,
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"legislation": 1,
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"penalty": 2,
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"unrelated": 3
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},
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"layer_norm_eps": 1e-07,
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"max_position_embeddings": 512,
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"
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"
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"
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"
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"
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"
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"c2p"
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],
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"position_biased_input": false,
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"position_buckets": 256,
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"relative_attention": true,
|
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"share_att_key": true,
|
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"tasks": [
|
551 |
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"glue/mnli",
|
552 |
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"glue/qnli",
|
553 |
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"glue/rte",
|
554 |
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"glue/wnli",
|
555 |
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"glue/mrpc",
|
556 |
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"glue/qqp",
|
557 |
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"glue/stsb",
|
558 |
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"super_glue/boolq",
|
559 |
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"super_glue/cb",
|
560 |
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"super_glue/multirc",
|
561 |
-
"super_glue/wic",
|
562 |
-
"super_glue/axg",
|
563 |
-
"anli/a1",
|
564 |
-
"anli/a2",
|
565 |
-
"anli/a3",
|
566 |
-
"sick/label",
|
567 |
-
"sick/relatedness",
|
568 |
-
"sick/entailment_AB",
|
569 |
-
"snli",
|
570 |
-
"scitail/snli_format",
|
571 |
-
"hans",
|
572 |
-
"WANLI",
|
573 |
-
"recast/recast_verbnet",
|
574 |
-
"recast/recast_kg_relations",
|
575 |
-
"recast/recast_ner",
|
576 |
-
"recast/recast_factuality",
|
577 |
-
"recast/recast_puns",
|
578 |
-
"recast/recast_megaveridicality",
|
579 |
-
"recast/recast_sentiment",
|
580 |
-
"recast/recast_verbcorner",
|
581 |
-
"probability_words_nli/usnli",
|
582 |
-
"probability_words_nli/reasoning_1hop",
|
583 |
-
"probability_words_nli/reasoning_2hop",
|
584 |
-
"nan-nli/joey234--nan-nli",
|
585 |
-
"nli_fever",
|
586 |
-
"breaking_nli",
|
587 |
-
"conj_nli",
|
588 |
-
"fracas",
|
589 |
-
"dialogue_nli",
|
590 |
-
"mpe",
|
591 |
-
"dnc",
|
592 |
-
"recast_white/fnplus",
|
593 |
-
"recast_white/sprl",
|
594 |
-
"recast_white/dpr",
|
595 |
-
"joci",
|
596 |
-
"robust_nli/IS_CS",
|
597 |
-
"robust_nli/LI_LI",
|
598 |
-
"robust_nli/ST_WO",
|
599 |
-
"robust_nli/PI_SP",
|
600 |
-
"robust_nli/PI_CD",
|
601 |
-
"robust_nli/ST_SE",
|
602 |
-
"robust_nli/ST_NE",
|
603 |
-
"robust_nli/ST_LM",
|
604 |
-
"robust_nli_is_sd",
|
605 |
-
"robust_nli_li_ts",
|
606 |
-
"add_one_rte",
|
607 |
-
"imppres/implicature_numerals_10_100/log",
|
608 |
-
"imppres/implicature_connectives/log",
|
609 |
-
"imppres/implicature_modals/log",
|
610 |
-
"imppres/implicature_gradable_verb/log",
|
611 |
-
"imppres/implicature_gradable_adjective/log",
|
612 |
-
"imppres/implicature_numerals_2_3/log",
|
613 |
-
"imppres/implicature_quantifiers/log",
|
614 |
-
"glue_diagnostics/diagnostics",
|
615 |
-
"hlgd",
|
616 |
-
"paws/labeled_final",
|
617 |
-
"paws/labeled_swap",
|
618 |
-
"medical_questions_pairs",
|
619 |
-
"conll2003/pos_tags",
|
620 |
-
"conll2003/chunk_tags",
|
621 |
-
"conll2003/ner_tags",
|
622 |
-
"hh-rlhf",
|
623 |
-
"model-written-evals",
|
624 |
-
"truthful_qa/multiple_choice",
|
625 |
-
"fig-qa",
|
626 |
-
"bigbench/physical_intuition",
|
627 |
-
"bigbench/authorship_verification",
|
628 |
-
"bigbench/implicit_relations",
|
629 |
-
"bigbench/dyck_languages",
|
630 |
-
"bigbench/novel_concepts",
|
631 |
-
"bigbench/moral_permissibility",
|
632 |
-
"bigbench/metaphor_understanding",
|
633 |
-
"bigbench/temporal_sequences",
|
634 |
-
"bigbench/sports_understanding",
|
635 |
-
"bigbench/analytic_entailment",
|
636 |
-
"bigbench/social_support",
|
637 |
-
"bigbench/emoji_movie",
|
638 |
-
"bigbench/dark_humor_detection",
|
639 |
-
"bigbench/suicide_risk",
|
640 |
-
"bigbench/fact_checker",
|
641 |
-
"bigbench/hhh_alignment",
|
642 |
-
"bigbench/formal_fallacies_syllogisms_negation",
|
643 |
-
"bigbench/bbq_lite_json",
|
644 |
-
"bigbench/cause_and_effect",
|
645 |
-
"bigbench/logic_grid_puzzle",
|
646 |
-
"bigbench/empirical_judgments",
|
647 |
-
"bigbench/human_organs_senses",
|
648 |
-
"bigbench/misconceptions",
|
649 |
-
"bigbench/strange_stories",
|
650 |
-
"bigbench/logical_args",
|
651 |
-
"bigbench/known_unknowns",
|
652 |
-
"bigbench/cs_algorithms",
|
653 |
-
"bigbench/emojis_emotion_prediction",
|
654 |
-
"bigbench/cifar10_classification",
|
655 |
-
"bigbench/penguins_in_a_table",
|
656 |
-
"bigbench/odd_one_out",
|
657 |
-
"bigbench/intent_recognition",
|
658 |
-
"bigbench/physics",
|
659 |
-
"bigbench/conceptual_combinations",
|
660 |
-
"bigbench/logical_deduction",
|
661 |
-
"bigbench/causal_judgment",
|
662 |
-
"bigbench/winowhy",
|
663 |
-
"bigbench/arithmetic",
|
664 |
-
"bigbench/undo_permutation",
|
665 |
-
"bigbench/analogical_similarity",
|
666 |
-
"bigbench/social_iqa",
|
667 |
-
"bigbench/key_value_maps",
|
668 |
-
"bigbench/implicatures",
|
669 |
-
"bigbench/real_or_fake_text",
|
670 |
-
"bigbench/disambiguation_qa",
|
671 |
-
"bigbench/similarities_abstraction",
|
672 |
-
"bigbench/movie_dialog_same_or_different",
|
673 |
-
"bigbench/english_proverbs",
|
674 |
-
"bigbench/presuppositions_as_nli",
|
675 |
-
"bigbench/entailed_polarity",
|
676 |
-
"bigbench/snarks",
|
677 |
-
"bigbench/goal_step_wikihow",
|
678 |
-
"bigbench/crass_ai",
|
679 |
-
"bigbench/play_dialog_same_or_different",
|
680 |
-
"bigbench/hindu_knowledge",
|
681 |
-
"bigbench/international_phonetic_alphabet_nli",
|
682 |
-
"bigbench/understanding_fables",
|
683 |
-
"bigbench/geometric_shapes",
|
684 |
-
"bigbench/code_line_description",
|
685 |
-
"bigbench/riddle_sense",
|
686 |
-
"bigbench/symbol_interpretation",
|
687 |
-
"bigbench/irony_identification",
|
688 |
-
"bigbench/anachronisms",
|
689 |
-
"bigbench/navigate",
|
690 |
-
"bigbench/crash_blossom",
|
691 |
-
"bigbench/identify_odd_metaphor",
|
692 |
-
"bigbench/simple_ethical_questions",
|
693 |
-
"bigbench/contextual_parametric_knowledge_conflicts",
|
694 |
-
"bigbench/date_understanding",
|
695 |
-
"bigbench/figure_of_speech_detection",
|
696 |
-
"bigbench/question_selection",
|
697 |
-
"bigbench/elementary_math_qa",
|
698 |
-
"bigbench/nonsense_words_grammar",
|
699 |
-
"bigbench/salient_translation_error_detection",
|
700 |
-
"bigbench/epistemic_reasoning",
|
701 |
-
"bigbench/movie_recommendation",
|
702 |
-
"bigbench/strategyqa",
|
703 |
-
"bigbench/tracking_shuffled_objects",
|
704 |
-
"bigbench/unit_interpretation",
|
705 |
-
"bigbench/reasoning_about_colored_objects",
|
706 |
-
"bigbench/discourse_marker_prediction",
|
707 |
-
"bigbench/logical_fallacy_detection",
|
708 |
-
"bigbench/general_knowledge",
|
709 |
-
"bigbench/abstract_narrative_understanding",
|
710 |
-
"bigbench/color",
|
711 |
-
"bigbench/hyperbaton",
|
712 |
-
"bigbench/logical_sequence",
|
713 |
-
"bigbench/mnist_ascii",
|
714 |
-
"bigbench/fantasy_reasoning",
|
715 |
-
"bigbench/mathematical_induction",
|
716 |
-
"bigbench/timedial",
|
717 |
-
"bigbench/identify_math_theorems",
|
718 |
-
"bigbench/checkmate_in_one",
|
719 |
-
"bigbench/phrase_relatedness",
|
720 |
-
"bigbench/ruin_names",
|
721 |
-
"bigbench/gre_reading_comprehension",
|
722 |
-
"bigbench/metaphor_boolean",
|
723 |
-
"bigbench/sentence_ambiguity",
|
724 |
-
"bigbench/vitaminc_fact_verification",
|
725 |
-
"bigbench/evaluating_information_essentiality",
|
726 |
-
"cos_e/v1.0",
|
727 |
-
"cosmos_qa",
|
728 |
-
"dream",
|
729 |
-
"openbookqa",
|
730 |
-
"qasc",
|
731 |
-
"quartz",
|
732 |
-
"quail",
|
733 |
-
"head_qa/en",
|
734 |
-
"sciq",
|
735 |
-
"social_i_qa",
|
736 |
-
"wiki_hop/original",
|
737 |
-
"wiqa",
|
738 |
-
"piqa",
|
739 |
-
"hellaswag",
|
740 |
-
"super_glue/copa",
|
741 |
-
"balanced-copa",
|
742 |
-
"e-CARE",
|
743 |
-
"art",
|
744 |
-
"winogrande/winogrande_xl",
|
745 |
-
"codah/codah",
|
746 |
-
"ai2_arc/ARC-Challenge/challenge",
|
747 |
-
"ai2_arc/ARC-Easy/challenge",
|
748 |
-
"definite_pronoun_resolution",
|
749 |
-
"swag/regular",
|
750 |
-
"math_qa",
|
751 |
-
"glue/cola",
|
752 |
-
"glue/sst2",
|
753 |
-
"utilitarianism",
|
754 |
-
"amazon_counterfactual/en",
|
755 |
-
"insincere-questions",
|
756 |
-
"toxic_conversations",
|
757 |
-
"TuringBench",
|
758 |
-
"trec",
|
759 |
-
"vitaminc/tals--vitaminc",
|
760 |
-
"hope_edi/english",
|
761 |
-
"rumoureval_2019/RumourEval2019",
|
762 |
-
"ethos/binary",
|
763 |
-
"ethos/multilabel",
|
764 |
-
"tweet_eval/sentiment",
|
765 |
-
"tweet_eval/irony",
|
766 |
-
"tweet_eval/offensive",
|
767 |
-
"tweet_eval/hate",
|
768 |
-
"tweet_eval/emotion",
|
769 |
-
"tweet_eval/emoji",
|
770 |
-
"tweet_eval/stance_abortion",
|
771 |
-
"tweet_eval/stance_atheism",
|
772 |
-
"tweet_eval/stance_climate",
|
773 |
-
"tweet_eval/stance_feminist",
|
774 |
-
"tweet_eval/stance_hillary",
|
775 |
-
"discovery/discovery",
|
776 |
-
"pragmeval/squinky-informativeness",
|
777 |
-
"pragmeval/emobank-arousal",
|
778 |
-
"pragmeval/switchboard",
|
779 |
-
"pragmeval/squinky-implicature",
|
780 |
-
"pragmeval/emobank-valence",
|
781 |
-
"pragmeval/mrda",
|
782 |
-
"pragmeval/squinky-formality",
|
783 |
-
"pragmeval/verifiability",
|
784 |
-
"pragmeval/emobank-dominance",
|
785 |
-
"pragmeval/persuasiveness-specificity",
|
786 |
-
"pragmeval/persuasiveness-strength",
|
787 |
-
"pragmeval/persuasiveness-claimtype",
|
788 |
-
"pragmeval/pdtb",
|
789 |
-
"pragmeval/sarcasm",
|
790 |
-
"pragmeval/stac",
|
791 |
-
"pragmeval/persuasiveness-premisetype",
|
792 |
-
"pragmeval/persuasiveness-eloquence",
|
793 |
-
"pragmeval/gum",
|
794 |
-
"pragmeval/emergent",
|
795 |
-
"pragmeval/persuasiveness-relevance",
|
796 |
-
"silicone/dyda_da",
|
797 |
-
"silicone/dyda_e",
|
798 |
-
"silicone/maptask",
|
799 |
-
"silicone/meld_e",
|
800 |
-
"silicone/meld_s",
|
801 |
-
"silicone/sem",
|
802 |
-
"silicone/oasis",
|
803 |
-
"silicone/iemocap",
|
804 |
-
"lex_glue/eurlex",
|
805 |
-
"lex_glue/scotus",
|
806 |
-
"lex_glue/ledgar",
|
807 |
-
"lex_glue/unfair_tos",
|
808 |
-
"lex_glue/case_hold",
|
809 |
-
"language-identification",
|
810 |
-
"imdb",
|
811 |
-
"rotten_tomatoes",
|
812 |
-
"ag_news",
|
813 |
-
"yelp_review_full/yelp_review_full",
|
814 |
-
"financial_phrasebank/sentences_allagree",
|
815 |
-
"poem_sentiment",
|
816 |
-
"dbpedia_14/dbpedia_14",
|
817 |
-
"amazon_polarity/amazon_polarity",
|
818 |
-
"app_reviews",
|
819 |
-
"hate_speech18",
|
820 |
-
"sms_spam",
|
821 |
-
"humicroedit/subtask-1",
|
822 |
-
"humicroedit/subtask-2",
|
823 |
-
"snips_built_in_intents",
|
824 |
-
"hate_speech_offensive",
|
825 |
-
"yahoo_answers_topics",
|
826 |
-
"stackoverflow-questions",
|
827 |
-
"hyperpartisan_news",
|
828 |
-
"sciie",
|
829 |
-
"citation_intent",
|
830 |
-
"go_emotions/simplified",
|
831 |
-
"scicite",
|
832 |
-
"liar",
|
833 |
-
"lexical_relation_classification/ROOT09",
|
834 |
-
"lexical_relation_classification/BLESS",
|
835 |
-
"lexical_relation_classification/CogALexV",
|
836 |
-
"lexical_relation_classification/EVALution",
|
837 |
-
"lexical_relation_classification/K&H+N",
|
838 |
-
"linguisticprobing/coordination_inversion",
|
839 |
-
"linguisticprobing/obj_number",
|
840 |
-
"linguisticprobing/past_present",
|
841 |
-
"linguisticprobing/sentence_length",
|
842 |
-
"linguisticprobing/subj_number",
|
843 |
-
"linguisticprobing/odd_man_out",
|
844 |
-
"linguisticprobing/tree_depth",
|
845 |
-
"linguisticprobing/top_constituents",
|
846 |
-
"linguisticprobing/bigram_shift",
|
847 |
-
"crowdflower/political-media-message",
|
848 |
-
"crowdflower/political-media-audience",
|
849 |
-
"crowdflower/economic-news",
|
850 |
-
"crowdflower/text_emotion",
|
851 |
-
"crowdflower/political-media-bias",
|
852 |
-
"crowdflower/airline-sentiment",
|
853 |
-
"crowdflower/tweet_global_warming",
|
854 |
-
"crowdflower/corporate-messaging",
|
855 |
-
"crowdflower/sentiment_nuclear_power",
|
856 |
-
"ethics/commonsense",
|
857 |
-
"ethics/deontology",
|
858 |
-
"ethics/justice",
|
859 |
-
"ethics/virtue",
|
860 |
-
"emo/emo2019",
|
861 |
-
"google_wellformed_query",
|
862 |
-
"tweets_hate_speech_detection",
|
863 |
-
"has_part",
|
864 |
-
"wnut_17/wnut_17",
|
865 |
-
"ncbi_disease/ncbi_disease",
|
866 |
-
"acronym_identification",
|
867 |
-
"jnlpba/jnlpba",
|
868 |
-
"ontonotes_english/SpeedOfMagic--ontonotes_english",
|
869 |
-
"blog_authorship_corpus/gender",
|
870 |
-
"blog_authorship_corpus/age",
|
871 |
-
"blog_authorship_corpus/job",
|
872 |
-
"open_question_type",
|
873 |
-
"health_fact",
|
874 |
-
"commonsense_qa",
|
875 |
-
"mc_taco",
|
876 |
-
"ade_corpus_v2/Ade_corpus_v2_classification",
|
877 |
-
"discosense",
|
878 |
-
"circa",
|
879 |
-
"phrase_similarity",
|
880 |
-
"scientific-exaggeration-detection",
|
881 |
-
"quarel",
|
882 |
-
"fever-evidence-related/mwong--fever-related",
|
883 |
-
"numer_sense",
|
884 |
-
"dynasent/dynabench.dynasent.r1.all/r1",
|
885 |
-
"dynasent/dynabench.dynasent.r2.all/r2",
|
886 |
-
"Sarcasm_News_Headline",
|
887 |
-
"sem_eval_2010_task_8",
|
888 |
-
"auditor_review/demo-org--auditor_review",
|
889 |
-
"medmcqa",
|
890 |
-
"Dynasent_Disagreement",
|
891 |
-
"Politeness_Disagreement",
|
892 |
-
"SBIC_Disagreement",
|
893 |
-
"SChem_Disagreement",
|
894 |
-
"Dilemmas_Disagreement",
|
895 |
-
"logiqa",
|
896 |
-
"wiki_qa",
|
897 |
-
"cycic_classification",
|
898 |
-
"cycic_multiplechoice",
|
899 |
-
"sts-companion",
|
900 |
-
"commonsense_qa_2.0",
|
901 |
-
"lingnli",
|
902 |
-
"monotonicity-entailment",
|
903 |
-
"arct",
|
904 |
-
"scinli",
|
905 |
-
"naturallogic",
|
906 |
-
"onestop_qa",
|
907 |
-
"moral_stories/full",
|
908 |
-
"prost",
|
909 |
-
"dynahate",
|
910 |
-
"syntactic-augmentation-nli",
|
911 |
-
"autotnli",
|
912 |
-
"CONDAQA",
|
913 |
-
"webgpt_comparisons",
|
914 |
-
"synthetic-instruct-gptj-pairwise",
|
915 |
-
"scruples",
|
916 |
-
"wouldyourather",
|
917 |
-
"attempto-nli",
|
918 |
-
"defeasible-nli/snli",
|
919 |
-
"defeasible-nli/atomic",
|
920 |
-
"help-nli",
|
921 |
-
"nli-veridicality-transitivity",
|
922 |
-
"natural-language-satisfiability",
|
923 |
-
"lonli",
|
924 |
-
"dadc-limit-nli",
|
925 |
-
"FLUTE",
|
926 |
-
"strategy-qa",
|
927 |
-
"summarize_from_feedback/comparisons",
|
928 |
-
"folio",
|
929 |
-
"tomi-nli",
|
930 |
-
"avicenna",
|
931 |
-
"SHP",
|
932 |
-
"MedQA-USMLE-4-options-hf",
|
933 |
-
"wikimedqa/medwiki",
|
934 |
-
"cicero",
|
935 |
-
"CREAK",
|
936 |
-
"mutual",
|
937 |
-
"NeQA",
|
938 |
-
"quote-repetition",
|
939 |
-
"redefine-math",
|
940 |
-
"puzzte",
|
941 |
-
"implicatures",
|
942 |
-
"race/high",
|
943 |
-
"race/middle",
|
944 |
-
"race-c",
|
945 |
-
"spartqa-yn",
|
946 |
-
"spartqa-mchoice",
|
947 |
-
"temporal-nli",
|
948 |
-
"riddle_sense",
|
949 |
-
"clcd-english",
|
950 |
-
"twentyquestions",
|
951 |
-
"reclor",
|
952 |
-
"counterfactually-augmented-imdb",
|
953 |
-
"counterfactually-augmented-snli",
|
954 |
-
"cnli",
|
955 |
-
"boolq-natural-perturbations",
|
956 |
-
"acceptability-prediction",
|
957 |
-
"equate",
|
958 |
-
"ScienceQA_text_only",
|
959 |
-
"ekar_english",
|
960 |
-
"implicit-hate-stg1",
|
961 |
-
"chaos-mnli-ambiguity",
|
962 |
-
"headline_cause/en_simple",
|
963 |
-
"logiqa-2.0-nli",
|
964 |
-
"oasst1_dense_flat/quality",
|
965 |
-
"oasst1_dense_flat/toxicity",
|
966 |
-
"oasst1_dense_flat/helpfulness",
|
967 |
-
"PARARULE-Plus",
|
968 |
-
"mindgames",
|
969 |
-
"universal_dependencies/en_lines/deprel",
|
970 |
-
"universal_dependencies/en_partut/deprel",
|
971 |
-
"universal_dependencies/en_ewt/deprel",
|
972 |
-
"universal_dependencies/en_gum/deprel",
|
973 |
-
"ambient",
|
974 |
-
"path-naturalness-prediction",
|
975 |
-
"civil_comments/toxicity",
|
976 |
-
"civil_comments/severe_toxicity",
|
977 |
-
"civil_comments/obscene",
|
978 |
-
"civil_comments/threat",
|
979 |
-
"civil_comments/insult",
|
980 |
-
"civil_comments/identity_attack",
|
981 |
-
"civil_comments/sexual_explicit",
|
982 |
-
"cloth",
|
983 |
-
"dgen",
|
984 |
-
"oasst1_pairwise_rlhf_reward",
|
985 |
-
"I2D2",
|
986 |
-
"args_me",
|
987 |
-
"Touche23-ValueEval",
|
988 |
-
"starcon",
|
989 |
-
"banking77",
|
990 |
-
"ruletaker",
|
991 |
-
"lsat_qa/all",
|
992 |
-
"ConTRoL-nli",
|
993 |
-
"tracie",
|
994 |
-
"sherliic",
|
995 |
-
"sen-making/1",
|
996 |
-
"sen-making/2",
|
997 |
-
"winowhy",
|
998 |
-
"mbib-base/cognitive-bias",
|
999 |
-
"mbib-base/fake-news",
|
1000 |
-
"mbib-base/gender-bias",
|
1001 |
-
"mbib-base/hate-speech",
|
1002 |
-
"mbib-base/linguistic-bias",
|
1003 |
-
"mbib-base/political-bias",
|
1004 |
-
"mbib-base/racial-bias",
|
1005 |
-
"mbib-base/text-level-bias",
|
1006 |
-
"robustLR",
|
1007 |
-
"v1/gen_train234_test2to10",
|
1008 |
-
"logical-fallacy",
|
1009 |
-
"parade",
|
1010 |
-
"cladder",
|
1011 |
-
"subjectivity",
|
1012 |
-
"MOH",
|
1013 |
-
"VUAC",
|
1014 |
-
"TroFi",
|
1015 |
-
"sharc_modified/mod",
|
1016 |
-
"conceptrules_v2",
|
1017 |
-
"disrpt/eng.dep.scidtb.rels",
|
1018 |
-
"conll2000",
|
1019 |
-
"few-nerd/supervised",
|
1020 |
-
"finer-139",
|
1021 |
-
"zero-shot-label-nli",
|
1022 |
-
"com2sense",
|
1023 |
-
"scone",
|
1024 |
-
"winodict",
|
1025 |
-
"fool-me-twice",
|
1026 |
-
"monli",
|
1027 |
-
"corr2cause",
|
1028 |
-
"lsat_qa/all",
|
1029 |
-
"apt",
|
1030 |
-
"twitter-financial-news-sentiment",
|
1031 |
-
"icl-symbol-tuning-instruct",
|
1032 |
-
"SpaceNLI",
|
1033 |
-
"propsegment/nli",
|
1034 |
-
"HatemojiBuild",
|
1035 |
-
"regset",
|
1036 |
-
"esci",
|
1037 |
-
"chatbot_arena_conversations",
|
1038 |
-
"dnd_style_intents",
|
1039 |
-
"FLD.v2",
|
1040 |
-
"SDOH-NLI",
|
1041 |
-
"scifact_entailment",
|
1042 |
-
"feasibilityQA",
|
1043 |
-
"simple_pair",
|
1044 |
-
"AdjectiveScaleProbe-nli",
|
1045 |
-
"resnli",
|
1046 |
-
"SpaRTUN",
|
1047 |
-
"ReSQ",
|
1048 |
-
"semantic_fragments_nli",
|
1049 |
-
"dataset_train_nli",
|
1050 |
-
"babi_nli",
|
1051 |
-
"gen_debiased_nli",
|
1052 |
-
"imppres/presupposition",
|
1053 |
-
"/prag",
|
1054 |
-
"blimp-2",
|
1055 |
-
"mmlu-4"
|
1056 |
-
],
|
1057 |
"torch_dtype": "float32",
|
1058 |
"transformers_version": "4.36.2",
|
1059 |
-
"
|
1060 |
-
"vocab_size": 128100
|
1061 |
}
|
|
|
1 |
{
|
2 |
+
"_name_or_path": "model/distilbert-base-uncased/checkpoint-378",
|
3 |
+
"activation": "gelu",
|
4 |
"architectures": [
|
5 |
+
"DistilBertForSequenceClassification"
|
6 |
],
|
7 |
+
"attention_dropout": 0.1,
|
8 |
+
"dim": 768,
|
9 |
+
"dropout": 0.1,
|
10 |
+
"hidden_dim": 3072,
|
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|
11 |
"id2label": {
|
12 |
"0": "incident",
|
13 |
"1": "legislation",
|
|
|
15 |
"3": "unrelated"
|
16 |
},
|
17 |
"initializer_range": 0.02,
|
|
|
18 |
"label2id": {
|
19 |
"incident": 0,
|
20 |
"legislation": 1,
|
21 |
"penalty": 2,
|
22 |
"unrelated": 3
|
23 |
},
|
|
|
24 |
"max_position_embeddings": 512,
|
25 |
+
"model_type": "distilbert",
|
26 |
+
"n_heads": 12,
|
27 |
+
"n_layers": 6,
|
|
|
|
|
28 |
"pad_token_id": 0,
|
29 |
+
"problem_type": "single_label_classification",
|
30 |
+
"qa_dropout": 0.1,
|
31 |
+
"seq_classif_dropout": 0.2,
|
32 |
+
"sinusoidal_pos_embds": false,
|
33 |
+
"tie_weights_": true,
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34 |
"torch_dtype": "float32",
|
35 |
"transformers_version": "4.36.2",
|
36 |
+
"vocab_size": 30522
|
|
|
37 |
}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2bf062adde79591ca66a348eed1464fe5a3e814fd6e215a5cef2fe9e470ea2e6
|
3 |
+
size 267838720
|