Upload DebertaV2ForSequenceClassification

config.json

@@ -219,45 +219,45 @@
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@@ -287,29 +287,29 @@
     28,
     3,
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@@ -325,7 +325,6 @@
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@@ -360,7 +359,7 @@
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@@ -494,6 +493,17 @@
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     2,
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@@ -558,17 +568,17 @@
     "scitail/snli_format",
     "hans",
     "WANLI",
-    "recast/recast_factuality",
+    "recast/recast_verbnet",
     "recast/recast_kg_relations",
+    "recast/recast_ner",
+    "recast/recast_factuality",
     "recast/recast_puns",
+    "recast/recast_megaveridicality",
     "recast/recast_sentiment",
-    "recast/recast_verbnet",
-    "recast/recast_ner",
     "recast/recast_verbcorner",
-    "recast/recast_megaveridicality",
-    "probability_words_nli/reasoning_2hop",
     "probability_words_nli/usnli",
     "probability_words_nli/reasoning_1hop",
+    "probability_words_nli/reasoning_2hop",
     "nan-nli/joey234--nan-nli",
     "nli_fever",
     "breaking_nli",
@@ -592,12 +602,12 @@
     "robust_nli_is_sd",
     "robust_nli_li_ts",
     "add_one_rte",
-    "imppres/implicature_numerals_2_3/log",
+    "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_connectives/log",
-    "imppres/implicature_numerals_10_100/log",
+    "imppres/implicature_numerals_2_3/log",
     "imppres/implicature_quantifiers/log",
     "glue_diagnostics/diagnostics",
     "hlgd",
@@ -611,106 +621,106 @@
     "model-written-evals",
     "truthful_qa/multiple_choice",
     "fig-qa",
-    "bigbench/analytic_entailment",
-    "bigbench/figure_of_speech_detection",
-    "bigbench/riddle_sense",
     "bigbench/physical_intuition",
-    "bigbench/metaphor_boolean",
-    "bigbench/epistemic_reasoning",
+    "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/international_phonetic_alphabet_nli",
-    "bigbench/arithmetic",
-    "bigbench/cifar10_classification",
+    "bigbench/suicide_risk",
+    "bigbench/fact_checker",
     "bigbench/hhh_alignment",
-    "bigbench/strategyqa",
-    "bigbench/play_dialog_same_or_different",
-    "bigbench/odd_one_out",
-    "bigbench/undo_permutation",
-    "bigbench/key_value_maps",
-    "bigbench/empirical_judgments",
-    "bigbench/question_selection",
-    "bigbench/date_understanding",
-    "bigbench/vitaminc_fact_verification",
+    "bigbench/formal_fallacies_syllogisms_negation",
+    "bigbench/bbq_lite_json",
     "bigbench/cause_and_effect",
-    "bigbench/known_unknowns",
-    "bigbench/causal_judgment",
-    "bigbench/nonsense_words_grammar",
-    "bigbench/movie_dialog_same_or_different",
-    "bigbench/unit_interpretation",
-    "bigbench/abstract_narrative_understanding",
-    "bigbench/dyck_languages",
-    "bigbench/elementary_math_qa",
-    "bigbench/identify_math_theorems",
+    "bigbench/logic_grid_puzzle",
+    "bigbench/empirical_judgments",
+    "bigbench/human_organs_senses",
     "bigbench/misconceptions",
-    "bigbench/crash_blossom",
-    "bigbench/novel_concepts",
-    "bigbench/social_iqa",
-    "bigbench/hindu_knowledge",
-    "bigbench/anachronisms",
+    "bigbench/strange_stories",
+    "bigbench/logical_args",
+    "bigbench/known_unknowns",
     "bigbench/cs_algorithms",
-    "bigbench/ruin_names",
-    "bigbench/phrase_relatedness",
-    "bigbench/crass_ai",
+    "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/discourse_marker_prediction",
-    "bigbench/logic_grid_puzzle",
-    "bigbench/navigate",
-    "bigbench/emoji_movie",
-    "bigbench/implicit_relations",
+    "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/color",
-    "bigbench/gre_reading_comprehension",
-    "bigbench/physics",
+    "bigbench/riddle_sense",
     "bigbench/symbol_interpretation",
-    "bigbench/tracking_shuffled_objects",
-    "bigbench/entailed_polarity",
-    "bigbench/mathematical_induction",
-    "bigbench/metaphor_understanding",
-    "bigbench/movie_recommendation",
-    "bigbench/simple_ethical_questions",
-    "bigbench/hyperbaton",
-    "bigbench/english_proverbs",
-    "bigbench/similarities_abstraction",
-    "bigbench/emojis_emotion_prediction",
-    "bigbench/temporal_sequences",
-    "bigbench/human_organs_senses",
-    "bigbench/penguins_in_a_table",
-    "bigbench/winowhy",
-    "bigbench/authorship_verification",
-    "bigbench/sentence_ambiguity",
-    "bigbench/mnist_ascii",
+    "bigbench/irony_identification",
+    "bigbench/anachronisms",
+    "bigbench/navigate",
+    "bigbench/crash_blossom",
     "bigbench/identify_odd_metaphor",
-    "bigbench/geometric_shapes",
-    "bigbench/evaluating_information_essentiality",
-    "bigbench/timedial",
+    "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/suicide_risk",
-    "bigbench/fantasy_reasoning",
-    "bigbench/implicatures",
-    "bigbench/logical_sequence",
-    "bigbench/irony_identification",
-    "bigbench/formal_fallacies_syllogisms_negation",
-    "bigbench/understanding_fables",
-    "bigbench/logical_args",
-    "bigbench/analogical_similarity",
-    "bigbench/social_support",
-    "bigbench/logical_fallacy_detection",
-    "bigbench/bbq_lite_json",
+    "bigbench/epistemic_reasoning",
+    "bigbench/movie_recommendation",
+    "bigbench/strategyqa",
+    "bigbench/tracking_shuffled_objects",
+    "bigbench/unit_interpretation",
     "bigbench/reasoning_about_colored_objects",
-    "bigbench/intent_recognition",
-    "bigbench/contextual_parametric_knowledge_conflicts",
+    "bigbench/discourse_marker_prediction",
+    "bigbench/logical_fallacy_detection",
     "bigbench/general_knowledge",
-    "bigbench/strange_stories",
-    "bigbench/sports_understanding",
+    "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/moral_permissibility",
-    "bigbench/goal_step_wikihow",
-    "bigbench/snarks",
-    "bigbench/disambiguation_qa",
-    "bigbench/real_or_fake_text",
-    "bigbench/logical_deduction",
-    "bigbench/fact_checker",
+    "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",
@@ -749,46 +759,46 @@
     "rumoureval_2019/RumourEval2019",
     "ethos/binary",
     "ethos/multilabel",
-    "tweet_eval/stance_hillary",
-    "tweet_eval/stance_feminist",
-    "tweet_eval/stance_climate",
-    "tweet_eval/stance_atheism",
-    "tweet_eval/emoji",
     "tweet_eval/sentiment",
-    "tweet_eval/offensive",
     "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-formality",
-    "pragmeval/squinky-implicature",
-    "pragmeval/emobank-dominance",
     "pragmeval/squinky-informativeness",
     "pragmeval/emobank-arousal",
     "pragmeval/switchboard",
+    "pragmeval/squinky-implicature",
+    "pragmeval/emobank-valence",
     "pragmeval/mrda",
+    "pragmeval/squinky-formality",
     "pragmeval/verifiability",
-    "pragmeval/emobank-valence",
-    "pragmeval/emergent",
-    "pragmeval/gum",
-    "pragmeval/stac",
-    "pragmeval/persuasiveness-eloquence",
-    "pragmeval/persuasiveness-premisetype",
-    "pragmeval/persuasiveness-relevance",
+    "pragmeval/emobank-dominance",
     "pragmeval/persuasiveness-specificity",
     "pragmeval/persuasiveness-strength",
-    "pragmeval/sarcasm",
     "pragmeval/persuasiveness-claimtype",
     "pragmeval/pdtb",
-    "silicone/iemocap",
+    "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/meld_s",
-    "silicone/meld_e",
-    "silicone/maptask",
-    "silicone/dyda_e",
-    "silicone/dyda_da",
+    "silicone/iemocap",
     "lex_glue/eurlex",
     "lex_glue/scotus",
     "lex_glue/ledgar",
@@ -818,29 +828,29 @@
     "go_emotions/simplified",
     "scicite",
     "liar",
-    "lexical_relation_classification/K&H+N",
-    "lexical_relation_classification/CogALexV",
-    "lexical_relation_classification/BLESS",
     "lexical_relation_classification/ROOT09",
+    "lexical_relation_classification/BLESS",
+    "lexical_relation_classification/CogALexV",
     "lexical_relation_classification/EVALution",
-    "linguisticprobing/bigram_shift",
-    "linguisticprobing/top_constituents",
+    "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/past_present",
-    "linguisticprobing/sentence_length",
-    "linguisticprobing/obj_number",
-    "linguisticprobing/coordination_inversion",
+    "linguisticprobing/top_constituents",
+    "linguisticprobing/bigram_shift",
+    "crowdflower/political-media-message",
     "crowdflower/political-media-audience",
-    "crowdflower/text_emotion",
     "crowdflower/economic-news",
-    "crowdflower/corporate-messaging",
+    "crowdflower/text_emotion",
+    "crowdflower/political-media-bias",
     "crowdflower/airline-sentiment",
     "crowdflower/tweet_global_warming",
+    "crowdflower/corporate-messaging",
     "crowdflower/sentiment_nuclear_power",
-    "crowdflower/political-media-bias",
-    "crowdflower/political-media-message",
     "ethics/commonsense",
     "ethics/deontology",
     "ethics/justice",
@@ -856,7 +866,6 @@
     "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",
@@ -904,8 +913,8 @@
     "scruples",
     "wouldyourather",
     "attempto-nli",
-    "defeasible-nli/atomic",
     "defeasible-nli/snli",
+    "defeasible-nli/atomic",
     "help-nli",
     "nli-veridicality-transitivity",
     "natural-language-satisfiability",
@@ -928,8 +937,8 @@
     "redefine-math",
     "puzzte",
     "implicatures",
-    "race/middle",
     "race/high",
+    "race/middle",
     "race-c",
     "spartqa-yn",
     "spartqa-mchoice",
@@ -955,9 +964,9 @@
     "oasst1_dense_flat/helpfulness",
     "PARARULE-Plus",
     "mindgames",
-    "universal_dependencies/en_ewt/deprel",
     "universal_dependencies/en_lines/deprel",
     "universal_dependencies/en_partut/deprel",
+    "universal_dependencies/en_ewt/deprel",
     "universal_dependencies/en_gum/deprel",
     "ambient",
     "path-naturalness-prediction",
@@ -1003,7 +1012,7 @@
     "TroFi",
     "sharc_modified/mod",
     "conceptrules_v2",
-    "disrpt/eng.dep.scidtb",
+    "disrpt/eng.dep.scidtb.rels",
     "conll2000",
     "few-nerd/supervised",
     "finer-139",
@@ -1025,6 +1034,17 @@
     "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",
@@ -1033,7 +1053,7 @@
     "mmlu-4"
   ],
   "torch_dtype": "float32",
-  "transformers_version": "4.26.1",
+  "transformers_version": "4.34.1",
   "type_vocab_size": 0,
   "vocab_size": 128100
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 737771833
+oid sha256:7884ba2939b9cdcba1dbcd214c476fff61d9ed98e78223ad76ee08c832b5d0b2
+size 737767858