Upload DebertaV2ForSequenceClassification

config.json

@@ -0,0 +1,2269 @@
+{
+  "_name_or_path": "deberta-tasksource-full",
+  "architectures": [
+    "DebertaV2ForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
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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,
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+  "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
+}

pytorch_model.bin

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