Upload DebertaV2ForSequenceClassification

config.json

@@ -30,8 +30,8 @@
     2,
     2,
     2,
-    6,
     2,
+    6,
     2,
     2,
     2,
@@ -46,12 +46,10 @@
     3,
     3,
     2,
-    3,
     2,
     2,
     2,
-    3,
-    3,
+    6,
     3,
     3,
     3,
@@ -221,19 +219,20 @@
     4,
     2,
     8,
-    20,
     4,
     2,
     2,
     3,
-    2,
     3,
     3,
     3,
     3,
     3,
+    20,
+    2,
     174,
     2,
+    2,
     3,
     2,
     2,
@@ -244,23 +243,22 @@
     2,
     8,
     2,
-    16,
-    18,
-    2,
+    3,
     2,
     17,
-    2,
     3,
     2,
+    18,
+    16,
+    2,
     3,
-    12,
-    42,
     3,
+    42,
     7,
+    12,
     11,
     7,
     4,
-    3,
     100,
     13,
     100,
@@ -291,29 +289,29 @@
     28,
     3,
     6,
+    4,
     5,
+    6,
     7,
-    4,
     3,
-    6,
-    20,
-    2,
     2,
     2,
-    6,
+    20,
     2,
     2,
     2,
     7,
-    3,
-    13,
-    9,
+    2,
+    6,
     4,
     2,
+    4,
+    3,
+    3,
     2,
+    13,
     2,
-    3,
-    4,
+    9,
     2,
     2,
     2,
@@ -410,8 +408,49 @@
     1,
     1,
     1,
+    1,
     3,
     1,
+    3,
+    1,
+    2,
+    2,
+    1,
+    2,
+    3,
+    3,
+    2,
+    1,
+    3,
+    1,
+    1,
+    3,
+    1,
+    3,
+    2,
+    1,
+    1,
+    1,
+    2,
+    2,
+    50,
+    50,
+    50,
+    50,
+    50,
+    50,
+    2,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
     2,
     3,
     3,
@@ -476,17 +515,17 @@
     "scitail/snli_format",
     "hans",
     "WANLI",
-    "recast/recast_factuality",
     "recast/recast_verbcorner",
-    "recast/recast_puns",
-    "recast/recast_kg_relations",
-    "recast/recast_ner",
-    "recast/recast_sentiment",
     "recast/recast_megaveridicality",
+    "recast/recast_sentiment",
+    "recast/recast_ner",
+    "recast/recast_kg_relations",
+    "recast/recast_factuality",
+    "recast/recast_puns",
     "recast/recast_verbnet",
+    "probability_words_nli/reasoning_1hop",
     "probability_words_nli/usnli",
     "probability_words_nli/reasoning_2hop",
-    "probability_words_nli/reasoning_1hop",
     "nan-nli/joey234--nan-nli",
     "nli_fever",
     "breaking_nli",
@@ -495,12 +534,10 @@
     "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",
@@ -515,10 +552,10 @@
     "imppres/implicature_quantifiers/log",
     "imppres/implicature_numerals_2_3/log",
     "imppres/implicature_numerals_10_100/log",
-    "imppres/implicature_modals/log",
-    "imppres/implicature_gradable_verb/log",
     "imppres/implicature_gradable_adjective/log",
     "imppres/implicature_connectives/log",
+    "imppres/implicature_modals/log",
+    "imppres/implicature_gradable_verb/log",
     "glue_diagnostics/diagnostics",
     "hlgd",
     "paws/labeled_final",
@@ -532,106 +569,106 @@
     "model-written-evals",
     "truthful_qa/multiple_choice",
     "fig-qa",
-    "bigbench/similarities_abstraction",
-    "bigbench/tracking_shuffled_objects",
-    "bigbench/dyck_languages",
-    "bigbench/cause_and_effect",
-    "bigbench/contextual_parametric_knowledge_conflicts",
-    "bigbench/logical_deduction",
-    "bigbench/movie_recommendation",
-    "bigbench/hhh_alignment",
-    "bigbench/checkmate_in_one",
-    "bigbench/discourse_marker_prediction",
-    "bigbench/identify_odd_metaphor",
-    "bigbench/entailed_polarity",
     "bigbench/novel_concepts",
-    "bigbench/nonsense_words_grammar",
-    "bigbench/goal_step_wikihow",
-    "bigbench/sports_understanding",
-    "bigbench/moral_permissibility",
-    "bigbench/code_line_description",
-    "bigbench/odd_one_out",
-    "bigbench/empirical_judgments",
-    "bigbench/gre_reading_comprehension",
-    "bigbench/reasoning_about_colored_objects",
-    "bigbench/identify_math_theorems",
-    "bigbench/abstract_narrative_understanding",
-    "bigbench/date_understanding",
-    "bigbench/play_dialog_same_or_different",
-    "bigbench/real_or_fake_text",
+    "bigbench/winowhy",
+    "bigbench/dark_humor_detection",
     "bigbench/crass_ai",
-    "bigbench/international_phonetic_alphabet_nli",
-    "bigbench/presuppositions_as_nli",
-    "bigbench/ruin_names",
-    "bigbench/sentence_ambiguity",
-    "bigbench/intent_recognition",
+    "bigbench/undo_permutation",
+    "bigbench/logical_fallacy_detection",
     "bigbench/analytic_entailment",
+    "bigbench/similarities_abstraction",
+    "bigbench/simple_ethical_questions",
+    "bigbench/intent_recognition",
+    "bigbench/english_proverbs",
+    "bigbench/penguins_in_a_table",
+    "bigbench/hyperbaton",
+    "bigbench/phrase_relatedness",
+    "bigbench/social_support",
+    "bigbench/symbol_interpretation",
+    "bigbench/play_dialog_same_or_different",
+    "bigbench/discourse_marker_prediction",
+    "bigbench/human_organs_senses",
+    "bigbench/date_understanding",
+    "bigbench/contextual_parametric_knowledge_conflicts",
+    "bigbench/code_line_description",
+    "bigbench/moral_permissibility",
+    "bigbench/crash_blossom",
+    "bigbench/nonsense_words_grammar",
     "bigbench/conceptual_combinations",
-    "bigbench/implicit_relations",
-    "bigbench/emojis_emotion_prediction",
-    "bigbench/hindu_knowledge",
-    "bigbench/elementary_math_qa",
+    "bigbench/identify_odd_metaphor",
+    "bigbench/question_selection",
     "bigbench/mathematical_induction",
-    "bigbench/irony_identification",
-    "bigbench/authorship_verification",
-    "bigbench/disambiguation_qa",
-    "bigbench/general_knowledge",
-    "bigbench/known_unknowns",
-    "bigbench/metaphor_boolean",
     "bigbench/logical_args",
-    "bigbench/metaphor_understanding",
     "bigbench/arithmetic",
-    "bigbench/salient_translation_error_detection",
-    "bigbench/human_organs_senses",
-    "bigbench/formal_fallacies_syllogisms_negation",
-    "bigbench/fantasy_reasoning",
-    "bigbench/fact_checker",
+    "bigbench/temporal_sequences",
+    "bigbench/sports_understanding",
+    "bigbench/timedial",
+    "bigbench/hindu_knowledge",
+    "bigbench/navigate",
     "bigbench/unit_interpretation",
-    "bigbench/vitaminc_fact_verification",
-    "bigbench/cifar10_classification",
-    "bigbench/social_iqa",
-    "bigbench/emoji_movie",
-    "bigbench/dark_humor_detection",
-    "bigbench/understanding_fables",
-    "bigbench/symbol_interpretation",
-    "bigbench/social_support",
-    "bigbench/logical_fallacy_detection",
+    "bigbench/figure_of_speech_detection",
+    "bigbench/authorship_verification",
+    "bigbench/entailed_polarity",
+    "bigbench/odd_one_out",
+    "bigbench/physics",
+    "bigbench/dyck_languages",
+    "bigbench/riddle_sense",
+    "bigbench/physical_intuition",
+    "bigbench/checkmate_in_one",
+    "bigbench/gre_reading_comprehension",
     "bigbench/causal_judgment",
-    "bigbench/strategyqa",
-    "bigbench/epistemic_reasoning",
+    "bigbench/misconceptions",
+    "bigbench/presuppositions_as_nli",
     "bigbench/anachronisms",
-    "bigbench/mnist_ascii",
-    "bigbench/crash_blossom",
-    "bigbench/english_proverbs",
-    "bigbench/cs_algorithms",
-    "bigbench/simple_ethical_questions",
-    "bigbench/hyperbaton",
-    "bigbench/key_value_maps",
-    "bigbench/physics",
-    "bigbench/figure_of_speech_detection",
-    "bigbench/undo_permutation",
-    "bigbench/timedial",
+    "bigbench/vitaminc_fact_verification",
+    "bigbench/movie_dialog_same_or_different",
+    "bigbench/implicatures",
+    "bigbench/bbq_lite_json",
+    "bigbench/emoji_movie",
     "bigbench/geometric_shapes",
-    "bigbench/analogical_similarity",
-    "bigbench/color",
-    "bigbench/question_selection",
+    "bigbench/metaphor_boolean",
+    "bigbench/understanding_fables",
+    "bigbench/cause_and_effect",
+    "bigbench/elementary_math_qa",
+    "bigbench/formal_fallacies_syllogisms_negation",
+    "bigbench/fact_checker",
     "bigbench/evaluating_information_essentiality",
-    "bigbench/phrase_relatedness",
+    "bigbench/salient_translation_error_detection",
+    "bigbench/sentence_ambiguity",
+    "bigbench/cs_algorithms",
+    "bigbench/hhh_alignment",
+    "bigbench/social_iqa",
+    "bigbench/abstract_narrative_understanding",
+    "bigbench/implicit_relations",
+    "bigbench/known_unknowns",
+    "bigbench/identify_math_theorems",
+    "bigbench/tracking_shuffled_objects",
+    "bigbench/disambiguation_qa",
     "bigbench/logic_grid_puzzle",
-    "bigbench/misconceptions",
-    "bigbench/winowhy",
+    "bigbench/suicide_risk",
     "bigbench/snarks",
-    "bigbench/temporal_sequences",
-    "bigbench/riddle_sense",
-    "bigbench/implicatures",
+    "bigbench/goal_step_wikihow",
+    "bigbench/cifar10_classification",
+    "bigbench/analogical_similarity",
+    "bigbench/international_phonetic_alphabet_nli",
+    "bigbench/epistemic_reasoning",
+    "bigbench/logical_deduction",
+    "bigbench/mnist_ascii",
+    "bigbench/emojis_emotion_prediction",
+    "bigbench/movie_recommendation",
+    "bigbench/real_or_fake_text",
+    "bigbench/fantasy_reasoning",
+    "bigbench/ruin_names",
+    "bigbench/general_knowledge",
+    "bigbench/reasoning_about_colored_objects",
+    "bigbench/key_value_maps",
     "bigbench/logical_sequence",
-    "bigbench/suicide_risk",
-    "bigbench/physical_intuition",
-    "bigbench/movie_dialog_same_or_different",
-    "bigbench/navigate",
-    "bigbench/penguins_in_a_table",
+    "bigbench/color",
+    "bigbench/strategyqa",
+    "bigbench/irony_identification",
+    "bigbench/empirical_judgments",
     "bigbench/strange_stories",
-    "bigbench/bbq_lite_json",
+    "bigbench/metaphor_understanding",
     "cos_e/v1.0",
     "cosmos_qa",
     "dream",
@@ -642,7 +679,7 @@
     "head_qa/en",
     "sciq",
     "social_i_qa",
-    "wiki_hop",
+    "wiki_hop/original",
     "wiqa",
     "piqa",
     "hellaswag",
@@ -652,10 +689,10 @@
     "art",
     "winogrande/winogrande_xl",
     "codah/codah",
-    "ai2_arc/ARC-Easy/challenge",
     "ai2_arc/ARC-Challenge/challenge",
+    "ai2_arc/ARC-Easy/challenge",
     "definite_pronoun_resolution",
-    "swag",
+    "swag/regular",
     "math_qa",
     "glue/cola",
     "glue/sst2",
@@ -670,46 +707,46 @@
     "rumoureval_2019/RumourEval2019",
     "ethos/binary",
     "ethos/multilabel",
-    "tweet_eval/emoji",
     "tweet_eval/emotion",
-    "tweet_eval/hate",
+    "tweet_eval/irony",
     "tweet_eval/offensive",
     "tweet_eval/sentiment",
-    "tweet_eval/irony",
+    "tweet_eval/stance_abortion",
     "tweet_eval/stance_atheism",
     "tweet_eval/stance_climate",
-    "tweet_eval/stance_hillary",
     "tweet_eval/stance_feminist",
-    "tweet_eval/stance_abortion",
+    "tweet_eval/stance_hillary",
+    "tweet_eval/emoji",
+    "tweet_eval/hate",
     "discovery/discovery",
     "pragmeval/squinky-informativeness",
+    "pragmeval/squinky-implicature",
     "pragmeval/verifiability",
     "pragmeval/squinky-formality",
-    "pragmeval/squinky-implicature",
+    "pragmeval/emobank-valence",
     "pragmeval/emobank-dominance",
     "pragmeval/emobank-arousal",
     "pragmeval/switchboard",
     "pragmeval/mrda",
-    "pragmeval/emobank-valence",
-    "pragmeval/persuasiveness-premisetype",
-    "pragmeval/persuasiveness-relevance",
-    "pragmeval/pdtb",
-    "pragmeval/stac",
-    "pragmeval/persuasiveness-strength",
     "pragmeval/sarcasm",
-    "pragmeval/gum",
+    "pragmeval/persuasiveness-premisetype",
     "pragmeval/persuasiveness-eloquence",
     "pragmeval/persuasiveness-claimtype",
     "pragmeval/persuasiveness-specificity",
+    "pragmeval/gum",
     "pragmeval/emergent",
-    "silicone/maptask",
-    "silicone/oasis",
+    "pragmeval/persuasiveness-strength",
+    "pragmeval/stac",
+    "pragmeval/pdtb",
+    "pragmeval/persuasiveness-relevance",
     "silicone/meld_s",
+    "silicone/sem",
+    "silicone/oasis",
     "silicone/meld_e",
+    "silicone/maptask",
     "silicone/iemocap",
     "silicone/dyda_e",
     "silicone/dyda_da",
-    "silicone/sem",
     "lex_glue/eurlex",
     "lex_glue/scotus",
     "lex_glue/ledgar",
@@ -740,29 +777,29 @@
     "go_emotions/simplified",
     "scicite",
     "liar",
+    "lexical_relation_classification/K&H+N",
     "lexical_relation_classification/CogALexV",
+    "lexical_relation_classification/BLESS",
     "lexical_relation_classification/EVALution",
-    "lexical_relation_classification/K&H+N",
     "lexical_relation_classification/ROOT09",
-    "lexical_relation_classification/BLESS",
-    "linguisticprobing/top_constituents",
+    "linguisticprobing/subj_number",
     "linguisticprobing/bigram_shift",
+    "linguisticprobing/top_constituents",
     "linguisticprobing/odd_man_out",
-    "linguisticprobing/coordination_inversion",
-    "linguisticprobing/sentence_length",
     "linguisticprobing/past_present",
-    "linguisticprobing/obj_number",
-    "linguisticprobing/subj_number",
+    "linguisticprobing/coordination_inversion",
     "linguisticprobing/tree_depth",
-    "crowdflower/economic-news",
-    "crowdflower/text_emotion",
-    "crowdflower/political-media-message",
+    "linguisticprobing/obj_number",
+    "linguisticprobing/sentence_length",
     "crowdflower/sentiment_nuclear_power",
-    "crowdflower/political-media-bias",
-    "crowdflower/political-media-audience",
     "crowdflower/tweet_global_warming",
-    "crowdflower/airline-sentiment",
     "crowdflower/corporate-messaging",
+    "crowdflower/economic-news",
+    "crowdflower/airline-sentiment",
+    "crowdflower/political-media-bias",
+    "crowdflower/text_emotion",
+    "crowdflower/political-media-audience",
+    "crowdflower/political-media-message",
     "ethics/commonsense",
     "ethics/deontology",
     "ethics/justice",
@@ -859,8 +896,49 @@
     "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_partut/deprel",
+    "universal_dependencies/en_lines/deprel",
+    "universal_dependencies/en_gumreddit/deprel",
+    "universal_dependencies/en_esl/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",
     "babi_nli",
     "gen_debiased_nli",
     "imppres/presupposition",

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:75ffa91a8efd68439bb0a54efcc2d38a7f121085f1782587645495b0016a464d
+oid sha256:1b613bfb3264fdb4336c063a4ca45befdd3f2c36933a878e9b8763be026773e1
 size 737771833