deberta-v3-base-tasksource-nli / config.json

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	{
	"_name_or_path": "deberta-tasksource-full",
	"architectures": [
	"DebertaV2ForSequenceClassification"
	],
	"id2label": {
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	"1": "neutral",
	"2": "contradiction"
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	"attention_probs_dropout_prob": 0.1,
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	"hidden_act": "gelu",
	"hidden_dropout_prob": 0.1,
	"hidden_size": 768,
	"id2label": {
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	"1": "LABEL_1",
	"2": "LABEL_2"
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	"initializer_range": 0.02,
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	"layer_norm_eps": 1e-07,
	"max_position_embeddings": 512,
	"max_relative_positions": -1,
	"model_type": "deberta-v2",
	"norm_rel_ebd": "layer_norm",
	"num_attention_heads": 12,
	"num_hidden_layers": 12,
	"pad_token_id": 0,
	"pooler_dropout": 0,
	"pooler_hidden_act": "gelu",
	"pooler_hidden_size": 768,
	"pos_att_type": [
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	"position_biased_input": false,
	"position_buckets": 256,
	"relative_attention": true,
	"share_att_key": true,
	"tasks": [
	"babi_nli/counting",
	"babi_nli/indefinite-knowledge",
	"babi_nli/simple-negation",
	"babi_nli/three-arg-relations",
	"babi_nli/basic-induction",
	"babi_nli/time-reasoning",
	"babi_nli/compound-coreference",
	"babi_nli/path-finding",
	"babi_nli/positional-reasoning",
	"babi_nli/conjunction",
	"babi_nli/size-reasoning",
	"babi_nli/yes-no-questions",
	"babi_nli/basic-coreference",
	"babi_nli/two-supporting-facts",
	"babi_nli/lists-sets",
	"babi_nli/two-arg-relations",
	"babi_nli/three-supporting-facts",
	"babi_nli/basic-deduction",
	"babi_nli/single-supporting-fact",
	"anli/a1",
	"anli/a2",
	"anli/a3",
	"sick/label",
	"sick/relatedness",
	"sick/entailment_AB",
	"sick/entailment_BA",
	"snli",
	"scitail/snli_format",
	"hans",
	"WANLI",
	"recast/recast_kg_relations",
	"recast/recast_puns",
	"recast/recast_factuality",
	"recast/recast_megaveridicality",
	"recast/recast_verbcorner",
	"recast/recast_verbnet",
	"recast/recast_ner",
	"recast/recast_sentiment",
	"probability_words_nli/usnli",
	"probability_words_nli/reasoning_1hop",
	"probability_words_nli/reasoning_2hop",
	"nan-nli/joey234--nan-nli",
	"nli_fever",
	"breaking_nli",
	"conj_nli",
	"fracas",
	"dialogue_nli",
	"mpe",
	"dnc",
	"gpt3_nli",
	"recast_white/fnplus",
	"recast_white/sprl",
	"recast_white/dpr",
	"joci",
	"contrast_nli",
	"robust_nli/IS_CS",
	"robust_nli/LI_LI",
	"robust_nli/ST_WO",
	"robust_nli/PI_SP",
	"robust_nli/PI_CD",
	"robust_nli/ST_SE",
	"robust_nli/ST_NE",
	"robust_nli/ST_LM",
	"robust_nli_is_sd",
	"robust_nli_li_ts",
	"gen_debiased_nli/snli_seq_z",
	"gen_debiased_nli/snli_z_aug",
	"gen_debiased_nli/snli_par_z",
	"gen_debiased_nli/mnli_par_z",
	"gen_debiased_nli/mnli_z_aug",
	"gen_debiased_nli/mnli_seq_z",
	"add_one_rte",
	"imppres/presupposition_cleft_uniqueness/presupposition",
	"imppres/presupposition_possessed_definites_uniqueness/presupposition",
	"imppres/presupposition_possessed_definites_existence/presupposition",
	"imppres/presupposition_only_presupposition/presupposition",
	"imppres/presupposition_all_n_presupposition/presupposition",
	"imppres/presupposition_both_presupposition/presupposition",
	"imppres/presupposition_change_of_state/presupposition",
	"imppres/presupposition_cleft_existence/presupposition",
	"imppres/presupposition_question_presupposition/presupposition",
	"imppres/implicature_modals/prag",
	"imppres/implicature_numerals_10_100/prag",
	"imppres/implicature_numerals_2_3/prag",
	"imppres/implicature_gradable_adjective/prag",
	"imppres/implicature_quantifiers/prag",
	"imppres/implicature_gradable_verb/prag",
	"imppres/implicature_connectives/prag",
	"imppres/implicature_gradable_adjective/log",
	"imppres/implicature_gradable_verb/log",
	"imppres/implicature_numerals_2_3/log",
	"imppres/implicature_numerals_10_100/log",
	"imppres/implicature_modals/log",
	"imppres/implicature_quantifiers/log",
	"imppres/implicature_connectives/log",
	"glue_diagnostics/diagnostics",
	"hlgd",
	"paws/labeled_final",
	"paws/labeled_swap",
	"quora",
	"medical_questions_pairs",
	"conll2003/pos_tags",
	"conll2003/chunk_tags",
	"conll2003/ner_tags",
	"hh-rlhf",
	"model-written-evals",
	"truthful_qa/multiple_choice",
	"fig-qa",
	"bigbench/fantasy_reasoning",
	"bigbench/nonsense_words_grammar",
	"bigbench/analytic_entailment",
	"bigbench/logic_grid_puzzle",
	"bigbench/geometric_shapes",
	"bigbench/key_value_maps",
	"bigbench/analogical_similarity",
	"bigbench/metaphor_understanding",
	"bigbench/metaphor_boolean",
	"bigbench/ruin_names",
	"bigbench/cs_algorithms",
	"bigbench/physical_intuition",
	"bigbench/mnist_ascii",
	"bigbench/moral_permissibility",
	"bigbench/emoji_movie",
	"bigbench/snarks",
	"bigbench/timedial",
	"bigbench/dark_humor_detection",
	"bigbench/gre_reading_comprehension",
	"bigbench/empirical_judgments",
	"bigbench/causal_judgment",
	"bigbench/fact_checker",
	"bigbench/logical_fallacy_detection",
	"bigbench/identify_math_theorems",
	"bigbench/dyck_languages",
	"bigbench/winowhy",
	"bigbench/logical_sequence",
	"bigbench/strategyqa",
	"bigbench/unit_interpretation",
	"bigbench/authorship_verification",
	"bigbench/undo_permutation",
	"bigbench/epistemic_reasoning",
	"bigbench/human_organs_senses",
	"bigbench/misconceptions",
	"bigbench/international_phonetic_alphabet_nli",
	"bigbench/identify_odd_metaphor",
	"bigbench/mathematical_induction",
	"bigbench/odd_one_out",
	"bigbench/reasoning_about_colored_objects",
	"bigbench/strange_stories",
	"bigbench/evaluating_information_essentiality",
	"bigbench/figure_of_speech_detection",
	"bigbench/english_proverbs",
	"bigbench/general_knowledge",
	"bigbench/tracking_shuffled_objects",
	"bigbench/physics",
	"bigbench/anachronisms",
	"bigbench/simple_ethical_questions",
	"bigbench/logical_args",
	"bigbench/suicide_risk",
	"bigbench/sentence_ambiguity",
	"bigbench/temporal_sequences",
	"bigbench/penguins_in_a_table",
	"bigbench/sports_understanding",
	"bigbench/hyperbaton",
	"bigbench/code_line_description",
	"bigbench/question_selection",
	"bigbench/disambiguation_qa",
	"bigbench/date_understanding",
	"bigbench/play_dialog_same_or_different",
	"bigbench/salient_translation_error_detection",
	"bigbench/irony_identification",
	"bigbench/emojis_emotion_prediction",
	"bigbench/hindu_knowledge",
	"bigbench/conceptual_combinations",
	"bigbench/implicatures",
	"bigbench/movie_dialog_same_or_different",
	"bigbench/social_support",
	"bigbench/presuppositions_as_nli",
	"bigbench/vitaminc_fact_verification",
	"bigbench/hhh_alignment",
	"bigbench/implicit_relations",
	"bigbench/bbq_lite_json",
	"bigbench/phrase_relatedness",
	"bigbench/logical_deduction",
	"bigbench/discourse_marker_prediction",
	"bigbench/movie_recommendation",
	"bigbench/real_or_fake_text",
	"bigbench/formal_fallacies_syllogisms_negation",
	"bigbench/crass_ai",
	"blimp/inchoative",
	"blimp/principle_A_c_command",
	"blimp/matrix_question_npi_licensor_present",
	"blimp/wh_questions_subject_gap_long_distance",
	"blimp/sentential_subject_island",
	"blimp/existential_there_quantifiers_2",
	"blimp/sentential_negation_npi_scope",
	"blimp/complex_NP_island",
	"blimp/principle_A_reconstruction",
	"blimp/animate_subject_passive",
	"blimp/tough_vs_raising_1",
	"blimp/wh_vs_that_with_gap",
	"blimp/principle_A_domain_2",
	"blimp/npi_present_1",
	"blimp/wh_vs_that_with_gap_long_distance",
	"blimp/superlative_quantifiers_1",
	"blimp/npi_present_2",
	"blimp/wh_questions_object_gap",
	"blimp/coordinate_structure_constraint_complex_left_branch",
	"blimp/coordinate_structure_constraint_object_extraction",
	"blimp/left_branch_island_echo_question",
	"blimp/drop_argument",
	"cos_e/v1.0",
	"cosmos_qa",
	"dream",
	"openbookqa",
	"qasc",
	"quartz",
	"quail",
	"head_qa/en",
	"sciq",
	"social_i_qa",
	"wiki_hop",
	"wiqa",
	"piqa",
	"hellaswag",
	"super_glue/copa",
	"art",
	"hendrycks_test/moral_disputes",
	"hendrycks_test/moral_scenarios",
	"hendrycks_test/nutrition",
	"hendrycks_test/philosophy",
	"hendrycks_test/prehistory",
	"hendrycks_test/professional_accounting",
	"hendrycks_test/professional_law",
	"hendrycks_test/world_religions",
	"hendrycks_test/professional_psychology",
	"hendrycks_test/public_relations",
	"hendrycks_test/security_studies",
	"hendrycks_test/sociology",
	"hendrycks_test/us_foreign_policy",
	"hendrycks_test/virology",
	"hendrycks_test/miscellaneous",
	"hendrycks_test/professional_medicine",
	"hendrycks_test/medical_genetics",
	"hendrycks_test/college_mathematics",
	"hendrycks_test/management",
	"hendrycks_test/high_school_computer_science",
	"hendrycks_test/astronomy",
	"hendrycks_test/high_school_chemistry",
	"hendrycks_test/high_school_biology",
	"hendrycks_test/global_facts",
	"hendrycks_test/formal_logic",
	"hendrycks_test/elementary_mathematics",
	"hendrycks_test/high_school_european_history",
	"hendrycks_test/electrical_engineering",
	"hendrycks_test/conceptual_physics",
	"hendrycks_test/computer_security",
	"hendrycks_test/college_physics",
	"hendrycks_test/college_medicine",
	"hendrycks_test/college_computer_science",
	"hendrycks_test/college_chemistry",
	"hendrycks_test/college_biology",
	"hendrycks_test/econometrics",
	"hendrycks_test/clinical_knowledge",
	"hendrycks_test/anatomy",
	"hendrycks_test/marketing",
	"hendrycks_test/machine_learning",
	"hendrycks_test/logical_fallacies",
	"hendrycks_test/jurisprudence",
	"hendrycks_test/international_law",
	"hendrycks_test/human_sexuality",
	"hendrycks_test/human_aging",
	"hendrycks_test/high_school_world_history",
	"hendrycks_test/abstract_algebra",
	"hendrycks_test/high_school_us_history",
	"hendrycks_test/high_school_psychology",
	"hendrycks_test/high_school_physics",
	"hendrycks_test/high_school_microeconomics",
	"hendrycks_test/high_school_mathematics",
	"hendrycks_test/high_school_macroeconomics",
	"hendrycks_test/high_school_government_and_politics",
	"hendrycks_test/high_school_geography",
	"hendrycks_test/high_school_statistics",
	"hendrycks_test/business_ethics",
	"winogrande/winogrande_xl",
	"codah/codah",
	"ai2_arc/ARC-Challenge/challenge",
	"ai2_arc/ARC-Easy/challenge",
	"definite_pronoun_resolution",
	"swag",
	"math_qa",
	"utilitarianism",
	"TuringBench",
	"trec",
	"vitaminc/tals--vitaminc",
	"hope_edi/english",
	"rumoureval_2019/RumourEval2019",
	"ethos/binary",
	"ethos/multilabel",
	"glue/cola",
	"glue/sst2",
	"glue/mrpc",
	"glue/qqp",
	"glue/stsb",
	"glue/mnli",
	"glue/qnli",
	"glue/rte",
	"glue/wnli",
	"super_glue/boolq",
	"super_glue/cb",
	"super_glue/multirc",
	"super_glue/wic",
	"super_glue/axg",
	"tweet_eval/stance_feminist",
	"tweet_eval/stance_atheism",
	"tweet_eval/stance_hillary",
	"tweet_eval/stance_abortion",
	"tweet_eval/sentiment",
	"tweet_eval/offensive",
	"tweet_eval/stance_climate",
	"tweet_eval/irony",
	"tweet_eval/emotion",
	"tweet_eval/emoji",
	"tweet_eval/hate",
	"discovery/discovery",
	"pragmeval/switchboard",
	"pragmeval/squinky-informativeness",
	"pragmeval/emobank-arousal",
	"pragmeval/emobank-dominance",
	"pragmeval/emobank-valence",
	"pragmeval/mrda",
	"pragmeval/verifiability",
	"pragmeval/squinky-implicature",
	"pragmeval/squinky-formality",
	"pragmeval/gum",
	"pragmeval/emergent",
	"pragmeval/persuasiveness-premisetype",
	"pragmeval/pdtb",
	"pragmeval/persuasiveness-eloquence",
	"pragmeval/persuasiveness-specificity",
	"pragmeval/persuasiveness-strength",
	"pragmeval/sarcasm",
	"pragmeval/stac",
	"pragmeval/persuasiveness-claimtype",
	"pragmeval/persuasiveness-relevance",
	"lex_glue/eurlex",
	"lex_glue/scotus",
	"lex_glue/ledgar",
	"lex_glue/unfair_tos",
	"lex_glue/case_hold",
	"imdb",
	"rotten_tomatoes",
	"ag_news",
	"yelp_review_full/yelp_review_full",
	"financial_phrasebank/sentences_allagree",
	"poem_sentiment",
	"dbpedia_14/dbpedia_14",
	"amazon_polarity/amazon_polarity",
	"app_reviews",
	"hate_speech18",
	"sms_spam",
	"humicroedit/subtask-1",
	"humicroedit/subtask-2",
	"snips_built_in_intents",
	"banking77",
	"hate_speech_offensive",
	"hyperpartisan_news_detection/byarticle",
	"hyperpartisan_news_detection/bypublisher",
	"go_emotions/simplified",
	"scicite",
	"liar",
	"lexical_relation_classification/ROOT09",
	"lexical_relation_classification/EVALution",
	"lexical_relation_classification/CogALexV",
	"lexical_relation_classification/BLESS",
	"lexical_relation_classification/K&H+N",
	"linguisticprobing/coordination_inversion",
	"linguisticprobing/odd_man_out",
	"linguisticprobing/word_content",
	"linguisticprobing/obj_number",
	"linguisticprobing/past_present",
	"linguisticprobing/tree_depth",
	"linguisticprobing/sentence_length",
	"linguisticprobing/top_constituents",
	"linguisticprobing/bigram_shift",
	"linguisticprobing/subj_number",
	"crowdflower/sentiment_nuclear_power",
	"crowdflower/tweet_global_warming",
	"crowdflower/airline-sentiment",
	"crowdflower/economic-news",
	"crowdflower/political-media-audience",
	"crowdflower/political-media-bias",
	"crowdflower/political-media-message",
	"crowdflower/text_emotion",
	"crowdflower/corporate-messaging",
	"ethics/commonsense",
	"ethics/deontology",
	"ethics/justice",
	"ethics/virtue",
	"emo/emo2019",
	"google_wellformed_query",
	"tweets_hate_speech_detection",
	"adv_glue/adv_sst2",
	"adv_glue/adv_qqp",
	"adv_glue/adv_mnli",
	"adv_glue/adv_mnli_mismatched",
	"adv_glue/adv_qnli",
	"adv_glue/adv_rte",
	"has_part",
	"wnut_17/wnut_17",
	"ncbi_disease/ncbi_disease",
	"acronym_identification",
	"jnlpba/jnlpba",
	"species_800/species_800",
	"ontonotes_english/SpeedOfMagic--ontonotes_english",
	"blog_authorship_corpus/gender",
	"blog_authorship_corpus/age",
	"blog_authorship_corpus/horoscope",
	"blog_authorship_corpus/job",
	"open_question_type",
	"health_fact",
	"commonsense_qa",
	"mc_taco",
	"ade_corpus_v2/Ade_corpus_v2_classification",
	"discosense",
	"circa",
	"code_x_glue_cc_defect_detection",
	"code_x_glue_cc_clone_detection_big_clone_bench",
	"code_x_glue_cc_code_refinement/medium",
	"EffectiveFeedbackStudentWriting",
	"promptSentiment",
	"promptNLI",
	"promptSpoke",
	"promptProficiency",
	"promptGrammar",
	"promptCoherence",
	"phrase_similarity",
	"scientific-exaggeration-detection",
	"quarel",
	"fever-evidence-related/mwong--fever-related",
	"numer_sense",
	"dynasent/dynabench.dynasent.r1.all/r1",
	"dynasent/dynabench.dynasent.r2.all/r2",
	"Sarcasm_News_Headline",
	"sem_eval_2010_task_8"
	],
	"torch_dtype": "float32",
	"transformers_version": "4.25.1",
	"type_vocab_size": 0,
	"vocab_size": 128100
	}