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| "_name_or_path": "microsoft/deberta-v3-base", |
| "architectures": [ |
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| "hidden_act": "gelu", |
| "hidden_dropout_prob": 0.1, |
| "hidden_size": 768, |
| "id2label": { |
| "0": "entailment", |
| "1": "neutral", |
| "2": "contradiction" |
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| "initializer_range": 0.02, |
| "intermediate_size": 3072, |
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| "contradiction": 2, |
| "entailment": 0, |
| "neutral": 1 |
| }, |
| "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": [ |
| "p2c", |
| "c2p" |
| ], |
| "position_biased_input": false, |
| "position_buckets": 256, |
| "relative_attention": true, |
| "share_att_key": true, |
| "tasks": [ |
| "glue/mnli", |
| "glue/qnli", |
| "glue/rte", |
| "glue/wnli", |
| "glue/mrpc", |
| "glue/qqp", |
| "glue/stsb", |
| "super_glue/boolq", |
| "super_glue/cb", |
| "super_glue/multirc", |
| "super_glue/wic", |
| "super_glue/axg", |
| "anli/a1", |
| "anli/a2", |
| "anli/a3", |
| "sick/label", |
| "sick/relatedness", |
| "sick/entailment_AB", |
| "snli", |
| "scitail/snli_format", |
| "hans", |
| "WANLI", |
| "recast/recast_verbnet", |
| "recast/recast_kg_relations", |
| "recast/recast_ner", |
| "recast/recast_factuality", |
| "recast/recast_puns", |
| "recast/recast_megaveridicality", |
| "recast/recast_sentiment", |
| "recast/recast_verbcorner", |
| "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", |
| "recast_white/fnplus", |
| "recast_white/sprl", |
| "recast_white/dpr", |
| "joci", |
| "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", |
| "add_one_rte", |
| "imppres/implicature_numerals_10_100/log", |
| "imppres/implicature_connectives/log", |
| "imppres/implicature_modals/log", |
| "imppres/implicature_gradable_verb/log", |
| "imppres/implicature_gradable_adjective/log", |
| "imppres/implicature_numerals_2_3/log", |
| "imppres/implicature_quantifiers/log", |
| "glue_diagnostics/diagnostics", |
| "hlgd", |
| "paws/labeled_final", |
| "paws/labeled_swap", |
| "medical_questions_pairs", |
| "conll2003/pos_tags", |
| "conll2003/chunk_tags", |
| "conll2003/ner_tags", |
| "hh-rlhf", |
| "model-written-evals", |
| "truthful_qa/multiple_choice", |
| "fig-qa", |
| "bigbench/physical_intuition", |
| "bigbench/authorship_verification", |
| "bigbench/implicit_relations", |
| "bigbench/dyck_languages", |
| "bigbench/novel_concepts", |
| "bigbench/moral_permissibility", |
| "bigbench/metaphor_understanding", |
| "bigbench/temporal_sequences", |
| "bigbench/sports_understanding", |
| "bigbench/analytic_entailment", |
| "bigbench/social_support", |
| "bigbench/emoji_movie", |
| "bigbench/dark_humor_detection", |
| "bigbench/suicide_risk", |
| "bigbench/fact_checker", |
| "bigbench/hhh_alignment", |
| "bigbench/formal_fallacies_syllogisms_negation", |
| "bigbench/bbq_lite_json", |
| "bigbench/cause_and_effect", |
| "bigbench/logic_grid_puzzle", |
| "bigbench/empirical_judgments", |
| "bigbench/human_organs_senses", |
| "bigbench/misconceptions", |
| "bigbench/strange_stories", |
| "bigbench/logical_args", |
| "bigbench/known_unknowns", |
| "bigbench/cs_algorithms", |
| "bigbench/emojis_emotion_prediction", |
| "bigbench/cifar10_classification", |
| "bigbench/penguins_in_a_table", |
| "bigbench/odd_one_out", |
| "bigbench/intent_recognition", |
| "bigbench/physics", |
| "bigbench/conceptual_combinations", |
| "bigbench/logical_deduction", |
| "bigbench/causal_judgment", |
| "bigbench/winowhy", |
| "bigbench/arithmetic", |
| "bigbench/undo_permutation", |
| "bigbench/analogical_similarity", |
| "bigbench/social_iqa", |
| "bigbench/key_value_maps", |
| "bigbench/implicatures", |
| "bigbench/real_or_fake_text", |
| "bigbench/disambiguation_qa", |
| "bigbench/similarities_abstraction", |
| "bigbench/movie_dialog_same_or_different", |
| "bigbench/english_proverbs", |
| "bigbench/presuppositions_as_nli", |
| "bigbench/entailed_polarity", |
| "bigbench/snarks", |
| "bigbench/goal_step_wikihow", |
| "bigbench/crass_ai", |
| "bigbench/play_dialog_same_or_different", |
| "bigbench/hindu_knowledge", |
| "bigbench/international_phonetic_alphabet_nli", |
| "bigbench/understanding_fables", |
| "bigbench/geometric_shapes", |
| "bigbench/code_line_description", |
| "bigbench/riddle_sense", |
| "bigbench/symbol_interpretation", |
| "bigbench/irony_identification", |
| "bigbench/anachronisms", |
| "bigbench/navigate", |
| "bigbench/crash_blossom", |
| "bigbench/identify_odd_metaphor", |
| "bigbench/simple_ethical_questions", |
| "bigbench/contextual_parametric_knowledge_conflicts", |
| "bigbench/date_understanding", |
| "bigbench/figure_of_speech_detection", |
| "bigbench/question_selection", |
| "bigbench/elementary_math_qa", |
| "bigbench/nonsense_words_grammar", |
| "bigbench/salient_translation_error_detection", |
| "bigbench/epistemic_reasoning", |
| "bigbench/movie_recommendation", |
| "bigbench/strategyqa", |
| "bigbench/tracking_shuffled_objects", |
| "bigbench/unit_interpretation", |
| "bigbench/reasoning_about_colored_objects", |
| "bigbench/discourse_marker_prediction", |
| "bigbench/logical_fallacy_detection", |
| "bigbench/general_knowledge", |
| "bigbench/abstract_narrative_understanding", |
| "bigbench/color", |
| "bigbench/hyperbaton", |
| "bigbench/logical_sequence", |
| "bigbench/mnist_ascii", |
| "bigbench/fantasy_reasoning", |
| "bigbench/mathematical_induction", |
| "bigbench/timedial", |
| "bigbench/identify_math_theorems", |
| "bigbench/checkmate_in_one", |
| "bigbench/phrase_relatedness", |
| "bigbench/ruin_names", |
| "bigbench/gre_reading_comprehension", |
| "bigbench/metaphor_boolean", |
| "bigbench/sentence_ambiguity", |
| "bigbench/vitaminc_fact_verification", |
| "bigbench/evaluating_information_essentiality", |
| "cos_e/v1.0", |
| "cosmos_qa", |
| "dream", |
| "openbookqa", |
| "qasc", |
| "quartz", |
| "quail", |
| "head_qa/en", |
| "sciq", |
| "social_i_qa", |
| "wiki_hop/original", |
| "wiqa", |
| "piqa", |
| "hellaswag", |
| "super_glue/copa", |
| "balanced-copa", |
| "e-CARE", |
| "art", |
| "winogrande/winogrande_xl", |
| "codah/codah", |
| "ai2_arc/ARC-Challenge/challenge", |
| "ai2_arc/ARC-Easy/challenge", |
| "definite_pronoun_resolution", |
| "swag/regular", |
| "math_qa", |
| "glue/cola", |
| "glue/sst2", |
| "utilitarianism", |
| "amazon_counterfactual/en", |
| "insincere-questions", |
| "toxic_conversations", |
| "TuringBench", |
| "trec", |
| "vitaminc/tals--vitaminc", |
| "hope_edi/english", |
| "rumoureval_2019/RumourEval2019", |
| "ethos/binary", |
| "ethos/multilabel", |
| "tweet_eval/sentiment", |
| "tweet_eval/irony", |
| "tweet_eval/offensive", |
| "tweet_eval/hate", |
| "tweet_eval/emotion", |
| "tweet_eval/emoji", |
| "tweet_eval/stance_abortion", |
| "tweet_eval/stance_atheism", |
| "tweet_eval/stance_climate", |
| "tweet_eval/stance_feminist", |
| "tweet_eval/stance_hillary", |
| "discovery/discovery", |
| "pragmeval/squinky-informativeness", |
| "pragmeval/emobank-arousal", |
| "pragmeval/switchboard", |
| "pragmeval/squinky-implicature", |
| "pragmeval/emobank-valence", |
| "pragmeval/mrda", |
| "pragmeval/squinky-formality", |
| "pragmeval/verifiability", |
| "pragmeval/emobank-dominance", |
| "pragmeval/persuasiveness-specificity", |
| "pragmeval/persuasiveness-strength", |
| "pragmeval/persuasiveness-claimtype", |
| "pragmeval/pdtb", |
| "pragmeval/sarcasm", |
| "pragmeval/stac", |
| "pragmeval/persuasiveness-premisetype", |
| "pragmeval/persuasiveness-eloquence", |
| "pragmeval/gum", |
| "pragmeval/emergent", |
| "pragmeval/persuasiveness-relevance", |
| "silicone/dyda_da", |
| "silicone/dyda_e", |
| "silicone/maptask", |
| "silicone/meld_e", |
| "silicone/meld_s", |
| "silicone/sem", |
| "silicone/oasis", |
| "silicone/iemocap", |
| "lex_glue/eurlex", |
| "lex_glue/scotus", |
| "lex_glue/ledgar", |
| "lex_glue/unfair_tos", |
| "lex_glue/case_hold", |
| "language-identification", |
| "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", |
| "hate_speech_offensive", |
| "yahoo_answers_topics", |
| "stackoverflow-questions", |
| "hyperpartisan_news", |
| "sciie", |
| "citation_intent", |
| "go_emotions/simplified", |
| "scicite", |
| "liar", |
| "lexical_relation_classification/ROOT09", |
| "lexical_relation_classification/BLESS", |
| "lexical_relation_classification/CogALexV", |
| "lexical_relation_classification/EVALution", |
| "lexical_relation_classification/K&H+N", |
| "linguisticprobing/coordination_inversion", |
| "linguisticprobing/obj_number", |
| "linguisticprobing/past_present", |
| "linguisticprobing/sentence_length", |
| "linguisticprobing/subj_number", |
| "linguisticprobing/odd_man_out", |
| "linguisticprobing/tree_depth", |
| "linguisticprobing/top_constituents", |
| "linguisticprobing/bigram_shift", |
| "crowdflower/political-media-message", |
| "crowdflower/political-media-audience", |
| "crowdflower/economic-news", |
| "crowdflower/text_emotion", |
| "crowdflower/political-media-bias", |
| "crowdflower/airline-sentiment", |
| "crowdflower/tweet_global_warming", |
| "crowdflower/corporate-messaging", |
| "crowdflower/sentiment_nuclear_power", |
| "ethics/commonsense", |
| "ethics/deontology", |
| "ethics/justice", |
| "ethics/virtue", |
| "emo/emo2019", |
| "google_wellformed_query", |
| "tweets_hate_speech_detection", |
| "has_part", |
| "wnut_17/wnut_17", |
| "ncbi_disease/ncbi_disease", |
| "acronym_identification", |
| "jnlpba/jnlpba", |
| "ontonotes_english/SpeedOfMagic--ontonotes_english", |
| "blog_authorship_corpus/gender", |
| "blog_authorship_corpus/age", |
| "blog_authorship_corpus/job", |
| "open_question_type", |
| "health_fact", |
| "commonsense_qa", |
| "mc_taco", |
| "ade_corpus_v2/Ade_corpus_v2_classification", |
| "discosense", |
| "circa", |
| "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", |
| "auditor_review/demo-org--auditor_review", |
| "medmcqa", |
| "Dynasent_Disagreement", |
| "Politeness_Disagreement", |
| "SBIC_Disagreement", |
| "SChem_Disagreement", |
| "Dilemmas_Disagreement", |
| "logiqa", |
| "wiki_qa", |
| "cycic_classification", |
| "cycic_multiplechoice", |
| "sts-companion", |
| "commonsense_qa_2.0", |
| "lingnli", |
| "monotonicity-entailment", |
| "arct", |
| "scinli", |
| "naturallogic", |
| "onestop_qa", |
| "moral_stories/full", |
| "prost", |
| "dynahate", |
| "syntactic-augmentation-nli", |
| "autotnli", |
| "CONDAQA", |
| "webgpt_comparisons", |
| "synthetic-instruct-gptj-pairwise", |
| "scruples", |
| "wouldyourather", |
| "attempto-nli", |
| "defeasible-nli/snli", |
| "defeasible-nli/atomic", |
| "help-nli", |
| "nli-veridicality-transitivity", |
| "natural-language-satisfiability", |
| "lonli", |
| "dadc-limit-nli", |
| "FLUTE", |
| "strategy-qa", |
| "summarize_from_feedback/comparisons", |
| "folio", |
| "tomi-nli", |
| "avicenna", |
| "SHP", |
| "MedQA-USMLE-4-options-hf", |
| "wikimedqa/medwiki", |
| "cicero", |
| "CREAK", |
| "mutual", |
| "NeQA", |
| "quote-repetition", |
| "redefine-math", |
| "puzzte", |
| "implicatures", |
| "race/high", |
| "race/middle", |
| "race-c", |
| "spartqa-yn", |
| "spartqa-mchoice", |
| "temporal-nli", |
| "riddle_sense", |
| "clcd-english", |
| "twentyquestions", |
| "reclor", |
| "counterfactually-augmented-imdb", |
| "counterfactually-augmented-snli", |
| "cnli", |
| "boolq-natural-perturbations", |
| "acceptability-prediction", |
| "equate", |
| "ScienceQA_text_only", |
| "ekar_english", |
| "implicit-hate-stg1", |
| "chaos-mnli-ambiguity", |
| "headline_cause/en_simple", |
| "logiqa-2.0-nli", |
| "oasst1_dense_flat/quality", |
| "oasst1_dense_flat/toxicity", |
| "oasst1_dense_flat/helpfulness", |
| "PARARULE-Plus", |
| "mindgames", |
| "universal_dependencies/en_lines/deprel", |
| "universal_dependencies/en_partut/deprel", |
| "universal_dependencies/en_ewt/deprel", |
| "universal_dependencies/en_gum/deprel", |
| "ambient", |
| "path-naturalness-prediction", |
| "civil_comments/toxicity", |
| "civil_comments/severe_toxicity", |
| "civil_comments/obscene", |
| "civil_comments/threat", |
| "civil_comments/insult", |
| "civil_comments/identity_attack", |
| "civil_comments/sexual_explicit", |
| "cloth", |
| "dgen", |
| "oasst1_pairwise_rlhf_reward", |
| "I2D2", |
| "args_me", |
| "Touche23-ValueEval", |
| "starcon", |
| "banking77", |
| "ruletaker", |
| "lsat_qa/all", |
| "ConTRoL-nli", |
| "tracie", |
| "sherliic", |
| "sen-making/1", |
| "sen-making/2", |
| "winowhy", |
| "mbib-base/cognitive-bias", |
| "mbib-base/fake-news", |
| "mbib-base/gender-bias", |
| "mbib-base/hate-speech", |
| "mbib-base/linguistic-bias", |
| "mbib-base/political-bias", |
| "mbib-base/racial-bias", |
| "mbib-base/text-level-bias", |
| "robustLR", |
| "v1/gen_train234_test2to10", |
| "logical-fallacy", |
| "parade", |
| "cladder", |
| "subjectivity", |
| "MOH", |
| "VUAC", |
| "TroFi", |
| "sharc_modified/mod", |
| "conceptrules_v2", |
| "disrpt/eng.dep.scidtb.rels", |
| "conll2000", |
| "few-nerd/supervised", |
| "finer-139", |
| "zero-shot-label-nli", |
| "com2sense", |
| "scone", |
| "winodict", |
| "fool-me-twice", |
| "monli", |
| "corr2cause", |
| "lsat_qa/all", |
| "apt", |
| "twitter-financial-news-sentiment", |
| "icl-symbol-tuning-instruct", |
| "SpaceNLI", |
| "propsegment/nli", |
| "HatemojiBuild", |
| "regset", |
| "esci", |
| "chatbot_arena_conversations", |
| "dnd_style_intents", |
| "FLD.v2", |
| "SDOH-NLI", |
| "scifact_entailment", |
| "feasibilityQA", |
| "simple_pair", |
| "AdjectiveScaleProbe-nli", |
| "resnli", |
| "SpaRTUN", |
| "ReSQ", |
| "semantic_fragments_nli", |
| "dataset_train_nli", |
| "babi_nli", |
| "gen_debiased_nli", |
| "imppres/presupposition", |
| "/prag", |
| "blimp-2", |
| "mmlu-4" |
| ], |
| "torch_dtype": "float32", |
| "transformers_version": "4.34.1", |
| "type_vocab_size": 0, |
| "vocab_size": 128100 |
| } |
|
|
