Upload folder using huggingface_hub
Browse files- README.md +36 -0
- added_tokens.json +3 -0
- checkpoint-125/config.json +1138 -0
- checkpoint-125/model.safetensors +3 -0
- checkpoint-125/optimizer.pt +3 -0
- checkpoint-125/rng_state.pth +3 -0
- checkpoint-125/scheduler.pt +3 -0
- checkpoint-125/trainer_state.json +1007 -0
- checkpoint-125/training_args.bin +3 -0
- config.json +1138 -0
- model.safetensors +3 -0
- runs/Aug28_13-19-54_r-svyas-hf-autotrain-classification-p4kbgon6-0fc54-i3uf4/events.out.tfevents.1724851196.r-svyas-hf-autotrain-classification-p4kbgon6-0fc54-i3uf4.97.0 +2 -2
- runs/Aug28_13-19-54_r-svyas-hf-autotrain-classification-p4kbgon6-0fc54-i3uf4/events.out.tfevents.1724851245.r-svyas-hf-autotrain-classification-p4kbgon6-0fc54-i3uf4.97.1 +3 -0
- special_tokens_map.json +51 -0
- spm.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +65 -0
- training_args.bin +3 -0
- training_params.json +30 -0
README.md
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---
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tags:
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- autotrain
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- text-classification
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base_model: tasksource/deberta-small-long-nli
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widget:
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- text: "I love AutoTrain"
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---
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# Model Trained Using AutoTrain
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- Problem type: Text Classification
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## Validation Metrics
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loss: 1.6780412197113037
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f1_macro: 0.48698637963343844
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f1_micro: 0.5510204081632653
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f1_weighted: 0.5140266479552194
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precision_macro: 0.49788642729819194
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precision_micro: 0.5510204081632653
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precision_weighted: 0.5202149041434755
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recall_macro: 0.5220588235294118
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recall_micro: 0.5510204081632653
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recall_weighted: 0.5510204081632653
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accuracy: 0.5510204081632653
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added_tokens.json
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{
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"[MASK]": 128000
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}
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checkpoint-125/config.json
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| 1 |
+
{
|
| 2 |
+
"_name_or_path": "tasksource/deberta-small-long-nli",
|
| 3 |
+
"_num_labels": 17,
|
| 4 |
+
"architectures": [
|
| 5 |
+
"DebertaV2ForSequenceClassification"
|
| 6 |
+
],
|
| 7 |
+
"attention_probs_dropout_prob": 0.1,
|
| 8 |
+
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|
| 9 |
+
3,
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| 740 |
+
"bigbench/ruin_names",
|
| 741 |
+
"bigbench/cause_and_effect",
|
| 742 |
+
"bigbench/temporal_sequences",
|
| 743 |
+
"bigbench/navigate",
|
| 744 |
+
"bigbench/symbol_interpretation",
|
| 745 |
+
"bigbench/key_value_maps",
|
| 746 |
+
"bigbench/entailed_polarity",
|
| 747 |
+
"bigbench/riddle_sense",
|
| 748 |
+
"bigbench/discourse_marker_prediction",
|
| 749 |
+
"bigbench/reasoning_about_colored_objects",
|
| 750 |
+
"bigbench/empirical_judgments",
|
| 751 |
+
"bigbench/fact_checker",
|
| 752 |
+
"bigbench/movie_recommendation",
|
| 753 |
+
"bigbench/checkmate_in_one",
|
| 754 |
+
"bigbench/epistemic_reasoning",
|
| 755 |
+
"bigbench/vitaminc_fact_verification",
|
| 756 |
+
"bigbench/general_knowledge",
|
| 757 |
+
"bigbench/identify_odd_metaphor",
|
| 758 |
+
"bigbench/physical_intuition",
|
| 759 |
+
"bigbench/winowhy",
|
| 760 |
+
"bigbench/cs_algorithms",
|
| 761 |
+
"bigbench/undo_permutation",
|
| 762 |
+
"bigbench/evaluating_information_essentiality",
|
| 763 |
+
"bigbench/unit_interpretation",
|
| 764 |
+
"bigbench/question_selection",
|
| 765 |
+
"bigbench/international_phonetic_alphabet_nli",
|
| 766 |
+
"bigbench/play_dialog_same_or_different",
|
| 767 |
+
"bigbench/real_or_fake_text",
|
| 768 |
+
"bigbench/human_organs_senses",
|
| 769 |
+
"bigbench/hindu_knowledge",
|
| 770 |
+
"bigbench/social_iqa",
|
| 771 |
+
"bigbench/odd_one_out",
|
| 772 |
+
"bigbench/causal_judgment",
|
| 773 |
+
"cos_e/v1.0",
|
| 774 |
+
"cosmos_qa",
|
| 775 |
+
"dream",
|
| 776 |
+
"openbookqa",
|
| 777 |
+
"qasc",
|
| 778 |
+
"quartz",
|
| 779 |
+
"quail",
|
| 780 |
+
"head_qa/en",
|
| 781 |
+
"sciq",
|
| 782 |
+
"social_i_qa",
|
| 783 |
+
"wiki_hop/original",
|
| 784 |
+
"wiqa",
|
| 785 |
+
"piqa",
|
| 786 |
+
"hellaswag",
|
| 787 |
+
"super_glue/copa",
|
| 788 |
+
"balanced-copa",
|
| 789 |
+
"e-CARE",
|
| 790 |
+
"art",
|
| 791 |
+
"winogrande/winogrande_xl",
|
| 792 |
+
"codah/codah",
|
| 793 |
+
"ai2_arc/ARC-Easy/challenge",
|
| 794 |
+
"ai2_arc/ARC-Challenge/challenge",
|
| 795 |
+
"definite_pronoun_resolution",
|
| 796 |
+
"swag/regular",
|
| 797 |
+
"math_qa",
|
| 798 |
+
"glue/cola",
|
| 799 |
+
"glue/sst2",
|
| 800 |
+
"utilitarianism",
|
| 801 |
+
"amazon_counterfactual/en",
|
| 802 |
+
"insincere-questions",
|
| 803 |
+
"toxic_conversations",
|
| 804 |
+
"TuringBench",
|
| 805 |
+
"trec",
|
| 806 |
+
"vitaminc",
|
| 807 |
+
"hope_edi/english",
|
| 808 |
+
"rumoureval_2019/RumourEval2019",
|
| 809 |
+
"ethos/binary",
|
| 810 |
+
"ethos/multilabel",
|
| 811 |
+
"tweet_eval/offensive",
|
| 812 |
+
"tweet_eval/sentiment",
|
| 813 |
+
"tweet_eval/irony",
|
| 814 |
+
"tweet_eval/hate",
|
| 815 |
+
"tweet_eval/emotion",
|
| 816 |
+
"tweet_eval/emoji",
|
| 817 |
+
"tweet_eval/stance_abortion",
|
| 818 |
+
"tweet_eval/stance_atheism",
|
| 819 |
+
"tweet_eval/stance_climate",
|
| 820 |
+
"tweet_eval/stance_feminist",
|
| 821 |
+
"tweet_eval/stance_hillary",
|
| 822 |
+
"discovery/discovery",
|
| 823 |
+
"pragmeval/squinky-formality",
|
| 824 |
+
"pragmeval/emobank-arousal",
|
| 825 |
+
"pragmeval/squinky-implicature",
|
| 826 |
+
"pragmeval/squinky-informativeness",
|
| 827 |
+
"pragmeval/switchboard",
|
| 828 |
+
"pragmeval/verifiability",
|
| 829 |
+
"pragmeval/mrda",
|
| 830 |
+
"pragmeval/emobank-valence",
|
| 831 |
+
"pragmeval/emobank-dominance",
|
| 832 |
+
"pragmeval/persuasiveness-strength",
|
| 833 |
+
"pragmeval/persuasiveness-relevance",
|
| 834 |
+
"pragmeval/pdtb",
|
| 835 |
+
"pragmeval/gum",
|
| 836 |
+
"pragmeval/stac",
|
| 837 |
+
"pragmeval/persuasiveness-specificity",
|
| 838 |
+
"pragmeval/sarcasm",
|
| 839 |
+
"pragmeval/persuasiveness-eloquence",
|
| 840 |
+
"pragmeval/emergent",
|
| 841 |
+
"pragmeval/persuasiveness-premisetype",
|
| 842 |
+
"pragmeval/persuasiveness-claimtype",
|
| 843 |
+
"silicone/meld_e",
|
| 844 |
+
"silicone/dyda_e",
|
| 845 |
+
"silicone/iemocap",
|
| 846 |
+
"silicone/sem",
|
| 847 |
+
"silicone/meld_s",
|
| 848 |
+
"silicone/oasis",
|
| 849 |
+
"silicone/maptask",
|
| 850 |
+
"silicone/dyda_da",
|
| 851 |
+
"lex_glue/eurlex",
|
| 852 |
+
"lex_glue/scotus",
|
| 853 |
+
"lex_glue/ledgar",
|
| 854 |
+
"lex_glue/unfair_tos",
|
| 855 |
+
"lex_glue/case_hold",
|
| 856 |
+
"language-identification",
|
| 857 |
+
"imdb",
|
| 858 |
+
"rotten_tomatoes",
|
| 859 |
+
"ag_news",
|
| 860 |
+
"yelp_review_full/yelp_review_full",
|
| 861 |
+
"financial_phrasebank/sentences_allagree",
|
| 862 |
+
"poem_sentiment",
|
| 863 |
+
"dbpedia_14/dbpedia_14",
|
| 864 |
+
"amazon_polarity/amazon_polarity",
|
| 865 |
+
"app_reviews",
|
| 866 |
+
"hate_speech18",
|
| 867 |
+
"sms_spam",
|
| 868 |
+
"humicroedit/subtask-1",
|
| 869 |
+
"humicroedit/subtask-2",
|
| 870 |
+
"snips_built_in_intents",
|
| 871 |
+
"hate_speech_offensive",
|
| 872 |
+
"yahoo_answers_topics",
|
| 873 |
+
"stackoverflow-questions",
|
| 874 |
+
"hyperpartisan_news",
|
| 875 |
+
"sciie",
|
| 876 |
+
"citation_intent",
|
| 877 |
+
"go_emotions/simplified",
|
| 878 |
+
"scicite",
|
| 879 |
+
"liar",
|
| 880 |
+
"lexical_relation_classification/CogALexV",
|
| 881 |
+
"lexical_relation_classification/EVALution",
|
| 882 |
+
"lexical_relation_classification/K&H+N",
|
| 883 |
+
"lexical_relation_classification/BLESS",
|
| 884 |
+
"lexical_relation_classification/ROOT09",
|
| 885 |
+
"linguisticprobing/obj_number",
|
| 886 |
+
"linguisticprobing/bigram_shift",
|
| 887 |
+
"linguisticprobing/subj_number",
|
| 888 |
+
"linguisticprobing/sentence_length",
|
| 889 |
+
"linguisticprobing/odd_man_out",
|
| 890 |
+
"linguisticprobing/tree_depth",
|
| 891 |
+
"linguisticprobing/top_constituents",
|
| 892 |
+
"linguisticprobing/coordination_inversion",
|
| 893 |
+
"linguisticprobing/past_present",
|
| 894 |
+
"crowdflower/sentiment_nuclear_power",
|
| 895 |
+
"crowdflower/tweet_global_warming",
|
| 896 |
+
"crowdflower/political-media-message",
|
| 897 |
+
"crowdflower/text_emotion",
|
| 898 |
+
"crowdflower/corporate-messaging",
|
| 899 |
+
"crowdflower/political-media-audience",
|
| 900 |
+
"crowdflower/airline-sentiment",
|
| 901 |
+
"crowdflower/political-media-bias",
|
| 902 |
+
"crowdflower/economic-news",
|
| 903 |
+
"ethics/commonsense",
|
| 904 |
+
"ethics/deontology",
|
| 905 |
+
"ethics/justice",
|
| 906 |
+
"ethics/virtue",
|
| 907 |
+
"emo/emo2019",
|
| 908 |
+
"google_wellformed_query",
|
| 909 |
+
"tweets_hate_speech_detection",
|
| 910 |
+
"has_part",
|
| 911 |
+
"blog_authorship_corpus/gender",
|
| 912 |
+
"blog_authorship_corpus/age",
|
| 913 |
+
"blog_authorship_corpus/job",
|
| 914 |
+
"open_question_type",
|
| 915 |
+
"health_fact",
|
| 916 |
+
"commonsense_qa",
|
| 917 |
+
"mc_taco",
|
| 918 |
+
"ade_corpus_v2/Ade_corpus_v2_classification",
|
| 919 |
+
"discosense",
|
| 920 |
+
"circa",
|
| 921 |
+
"phrase_similarity",
|
| 922 |
+
"scientific-exaggeration-detection",
|
| 923 |
+
"quarel",
|
| 924 |
+
"fever-evidence-related",
|
| 925 |
+
"numer_sense",
|
| 926 |
+
"dynasent/dynabench.dynasent.r1.all/r1",
|
| 927 |
+
"dynasent/dynabench.dynasent.r2.all/r2",
|
| 928 |
+
"Sarcasm_News_Headline",
|
| 929 |
+
"sem_eval_2010_task_8",
|
| 930 |
+
"auditor_review",
|
| 931 |
+
"medmcqa",
|
| 932 |
+
"Dynasent_Disagreement",
|
| 933 |
+
"Politeness_Disagreement",
|
| 934 |
+
"SBIC_Disagreement",
|
| 935 |
+
"SChem_Disagreement",
|
| 936 |
+
"Dilemmas_Disagreement",
|
| 937 |
+
"logiqa",
|
| 938 |
+
"wiki_qa",
|
| 939 |
+
"cycic_classification",
|
| 940 |
+
"cycic_multiplechoice",
|
| 941 |
+
"sts-companion",
|
| 942 |
+
"commonsense_qa_2.0",
|
| 943 |
+
"lingnli",
|
| 944 |
+
"monotonicity-entailment",
|
| 945 |
+
"arct",
|
| 946 |
+
"scinli",
|
| 947 |
+
"naturallogic",
|
| 948 |
+
"onestop_qa",
|
| 949 |
+
"moral_stories/full",
|
| 950 |
+
"prost",
|
| 951 |
+
"dynahate",
|
| 952 |
+
"syntactic-augmentation-nli",
|
| 953 |
+
"autotnli",
|
| 954 |
+
"CONDAQA",
|
| 955 |
+
"webgpt_comparisons",
|
| 956 |
+
"synthetic-instruct-gptj-pairwise",
|
| 957 |
+
"scruples",
|
| 958 |
+
"wouldyourather",
|
| 959 |
+
"defeasible-nli/atomic",
|
| 960 |
+
"defeasible-nli/snli",
|
| 961 |
+
"help-nli",
|
| 962 |
+
"nli-veridicality-transitivity",
|
| 963 |
+
"lonli",
|
| 964 |
+
"dadc-limit-nli",
|
| 965 |
+
"FLUTE",
|
| 966 |
+
"strategy-qa",
|
| 967 |
+
"summarize_from_feedback/comparisons",
|
| 968 |
+
"folio",
|
| 969 |
+
"tomi-nli",
|
| 970 |
+
"avicenna",
|
| 971 |
+
"SHP",
|
| 972 |
+
"MedQA-USMLE-4-options-hf",
|
| 973 |
+
"wikimedqa/medwiki",
|
| 974 |
+
"cicero",
|
| 975 |
+
"CREAK",
|
| 976 |
+
"mutual",
|
| 977 |
+
"NeQA",
|
| 978 |
+
"quote-repetition",
|
| 979 |
+
"redefine-math",
|
| 980 |
+
"puzzte",
|
| 981 |
+
"implicatures",
|
| 982 |
+
"race/middle",
|
| 983 |
+
"race/high",
|
| 984 |
+
"race-c",
|
| 985 |
+
"spartqa-yn",
|
| 986 |
+
"spartqa-mchoice",
|
| 987 |
+
"temporal-nli",
|
| 988 |
+
"riddle_sense",
|
| 989 |
+
"clcd-english",
|
| 990 |
+
"twentyquestions",
|
| 991 |
+
"reclor",
|
| 992 |
+
"counterfactually-augmented-imdb",
|
| 993 |
+
"counterfactually-augmented-snli",
|
| 994 |
+
"cnli",
|
| 995 |
+
"boolq-natural-perturbations",
|
| 996 |
+
"acceptability-prediction",
|
| 997 |
+
"equate",
|
| 998 |
+
"ScienceQA_text_only",
|
| 999 |
+
"ekar_english",
|
| 1000 |
+
"implicit-hate-stg1",
|
| 1001 |
+
"chaos-mnli-ambiguity",
|
| 1002 |
+
"headline_cause/en_simple",
|
| 1003 |
+
"logiqa-2.0-nli",
|
| 1004 |
+
"oasst2_dense_flat/quality",
|
| 1005 |
+
"oasst2_dense_flat/toxicity",
|
| 1006 |
+
"oasst2_dense_flat/helpfulness",
|
| 1007 |
+
"mindgames",
|
| 1008 |
+
"ambient",
|
| 1009 |
+
"path-naturalness-prediction",
|
| 1010 |
+
"civil_comments/toxicity",
|
| 1011 |
+
"civil_comments/severe_toxicity",
|
| 1012 |
+
"civil_comments/obscene",
|
| 1013 |
+
"civil_comments/threat",
|
| 1014 |
+
"civil_comments/insult",
|
| 1015 |
+
"civil_comments/identity_attack",
|
| 1016 |
+
"civil_comments/sexual_explicit",
|
| 1017 |
+
"cloth",
|
| 1018 |
+
"dgen",
|
| 1019 |
+
"I2D2",
|
| 1020 |
+
"args_me",
|
| 1021 |
+
"Touche23-ValueEval",
|
| 1022 |
+
"starcon",
|
| 1023 |
+
"banking77",
|
| 1024 |
+
"ConTRoL-nli",
|
| 1025 |
+
"tracie",
|
| 1026 |
+
"sherliic",
|
| 1027 |
+
"sen-making/1",
|
| 1028 |
+
"sen-making/2",
|
| 1029 |
+
"winowhy",
|
| 1030 |
+
"robustLR",
|
| 1031 |
+
"v1/gen_train234_test2to10",
|
| 1032 |
+
"logical-fallacy",
|
| 1033 |
+
"parade",
|
| 1034 |
+
"cladder",
|
| 1035 |
+
"subjectivity",
|
| 1036 |
+
"MOH",
|
| 1037 |
+
"VUAC",
|
| 1038 |
+
"sharc_modified/mod",
|
| 1039 |
+
"conceptrules_v2",
|
| 1040 |
+
"disrpt/eng.dep.scidtb.rels",
|
| 1041 |
+
"zero-shot-label-nli",
|
| 1042 |
+
"com2sense",
|
| 1043 |
+
"scone",
|
| 1044 |
+
"winodict",
|
| 1045 |
+
"fool-me-twice",
|
| 1046 |
+
"monli",
|
| 1047 |
+
"corr2cause",
|
| 1048 |
+
"lsat_qa/all",
|
| 1049 |
+
"apt",
|
| 1050 |
+
"twitter-financial-news-sentiment",
|
| 1051 |
+
"icl-symbol-tuning-instruct",
|
| 1052 |
+
"SpaceNLI",
|
| 1053 |
+
"propsegment/nli",
|
| 1054 |
+
"HatemojiBuild",
|
| 1055 |
+
"regset",
|
| 1056 |
+
"esci",
|
| 1057 |
+
"chatbot_arena_conversations",
|
| 1058 |
+
"dnd_style_intents",
|
| 1059 |
+
"FLD.v2/default",
|
| 1060 |
+
"FLD.v2/star",
|
| 1061 |
+
"SDOH-NLI",
|
| 1062 |
+
"scifact_entailment",
|
| 1063 |
+
"feasibilityQA",
|
| 1064 |
+
"simple_pair",
|
| 1065 |
+
"AdjectiveScaleProbe-nli",
|
| 1066 |
+
"resnli",
|
| 1067 |
+
"SpaRTUN",
|
| 1068 |
+
"ReSQ",
|
| 1069 |
+
"semantic_fragments_nli",
|
| 1070 |
+
"dataset_train_nli",
|
| 1071 |
+
"stepgame",
|
| 1072 |
+
"nlgraph",
|
| 1073 |
+
"oasst2_pairwise_rlhf_reward",
|
| 1074 |
+
"hh-rlhf/helpful-base",
|
| 1075 |
+
"hh-rlhf/helpful-online",
|
| 1076 |
+
"hh-rlhf/helpful-rejection-sampled",
|
| 1077 |
+
"hh-rlhf/harmless-base",
|
| 1078 |
+
"ruletaker",
|
| 1079 |
+
"PARARULE-Plus",
|
| 1080 |
+
"proofwriter",
|
| 1081 |
+
"logical-entailment",
|
| 1082 |
+
"nope",
|
| 1083 |
+
"LogicNLI",
|
| 1084 |
+
"contract-nli/contractnli_a/seg",
|
| 1085 |
+
"contract-nli/contractnli_b/full",
|
| 1086 |
+
"nli4ct_semeval2024",
|
| 1087 |
+
"lsat-ar",
|
| 1088 |
+
"lsat-rc",
|
| 1089 |
+
"biosift-nli",
|
| 1090 |
+
"brainteasers/WP",
|
| 1091 |
+
"brainteasers/SP",
|
| 1092 |
+
"persuasion",
|
| 1093 |
+
"AmbigNQ-clarifying-question",
|
| 1094 |
+
"SIGA-nli",
|
| 1095 |
+
"FOL-nli",
|
| 1096 |
+
"goal-step-wikihow/order",
|
| 1097 |
+
"PARADISE",
|
| 1098 |
+
"doc-nli",
|
| 1099 |
+
"mctest-nli",
|
| 1100 |
+
"patent-phrase-similarity",
|
| 1101 |
+
"natural-language-satisfiability",
|
| 1102 |
+
"idioms-nli",
|
| 1103 |
+
"lifecycle-entailment",
|
| 1104 |
+
"HelpSteer/helpfulness",
|
| 1105 |
+
"HelpSteer/correctness",
|
| 1106 |
+
"HelpSteer/coherence",
|
| 1107 |
+
"HelpSteer/complexity",
|
| 1108 |
+
"HelpSteer/verbosity",
|
| 1109 |
+
"HelpSteer2/helpfulness",
|
| 1110 |
+
"HelpSteer2/correctness",
|
| 1111 |
+
"HelpSteer2/coherence",
|
| 1112 |
+
"HelpSteer2/complexity",
|
| 1113 |
+
"HelpSteer2/verbosity",
|
| 1114 |
+
"MSciNLI",
|
| 1115 |
+
"UltraFeedback-paired",
|
| 1116 |
+
"AES2-essay-scoring",
|
| 1117 |
+
"english-grading/cohesion",
|
| 1118 |
+
"english-grading/syntax",
|
| 1119 |
+
"english-grading/vocabulary",
|
| 1120 |
+
"english-grading/phraseology",
|
| 1121 |
+
"english-grading/grammar",
|
| 1122 |
+
"english-grading/conventions",
|
| 1123 |
+
"wice",
|
| 1124 |
+
"hover",
|
| 1125 |
+
"tasksource_dpo_pairs",
|
| 1126 |
+
"seahorse_summarization_evaluation",
|
| 1127 |
+
"missing-item-prediction/contrastive",
|
| 1128 |
+
"babi_nli",
|
| 1129 |
+
"gen_debiased_nli",
|
| 1130 |
+
"imppres/presupposition",
|
| 1131 |
+
"/prag",
|
| 1132 |
+
"blimp-2"
|
| 1133 |
+
],
|
| 1134 |
+
"torch_dtype": "float32",
|
| 1135 |
+
"transformers_version": "4.44.1",
|
| 1136 |
+
"type_vocab_size": 0,
|
| 1137 |
+
"vocab_size": 128100
|
| 1138 |
+
}
|
checkpoint-125/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:57f243f21c43e25ef5a91ee9a57e314b5e4ddd47478e562a0dec3ca562962005
|
| 3 |
+
size 567644700
|
checkpoint-125/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5c6d274c8526b7f87dbb2aceb59d6fbcbbe9934de6f217715386e4a5b8bb04ca
|
| 3 |
+
size 1135352762
|
checkpoint-125/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:20ea41fa2429f33ae3776e80dce5d6dea9217682b9d1ce87c7be307080c49339
|
| 3 |
+
size 14244
|
checkpoint-125/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0819444978676ac43808e788b0dc5feedc57ea2d09899e2f3d55db5941e919bb
|
| 3 |
+
size 1064
|
checkpoint-125/trainer_state.json
ADDED
|
@@ -0,0 +1,1007 @@
|
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| 1 |
+
{
|
| 2 |
+
"_name_or_path": "tasksource/deberta-small-long-nli",
|
| 3 |
+
"_num_labels": 17,
|
| 4 |
+
"architectures": [
|
| 5 |
+
"DebertaV2ForSequenceClassification"
|
| 6 |
+
],
|
| 7 |
+
"attention_probs_dropout_prob": 0.1,
|
| 8 |
+
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|
| 9 |
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| 619 |
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| 621 |
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| 622 |
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|
| 623 |
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"hans",
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| 624 |
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"WANLI",
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| 625 |
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|
| 626 |
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|
| 627 |
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|
| 628 |
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|
| 629 |
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|
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|
| 631 |
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|
| 632 |
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|
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|
| 635 |
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|
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|
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|
| 638 |
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| 640 |
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| 642 |
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|
| 647 |
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|
| 648 |
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|
| 649 |
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|
| 650 |
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|
| 651 |
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|
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|
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|
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|
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| 656 |
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| 660 |
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|
| 661 |
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|
| 662 |
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| 663 |
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| 664 |
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|
| 665 |
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|
| 666 |
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| 667 |
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| 668 |
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| 669 |
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| 670 |
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| 674 |
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| 675 |
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| 679 |
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| 680 |
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| 681 |
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| 682 |
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| 683 |
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| 685 |
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| 686 |
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| 688 |
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| 689 |
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| 690 |
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| 693 |
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| 696 |
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| 697 |
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|
| 709 |
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| 710 |
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|
| 711 |
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|
| 712 |
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|
| 713 |
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|
| 714 |
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|
| 715 |
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|
| 716 |
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|
| 717 |
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|
| 718 |
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|
| 719 |
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|
| 720 |
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|
| 721 |
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|
| 722 |
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|
| 723 |
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|
| 724 |
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|
| 725 |
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|
| 726 |
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|
| 727 |
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|
| 728 |
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|
| 729 |
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|
| 730 |
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|
| 731 |
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|
| 732 |
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|
| 733 |
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|
| 734 |
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|
| 735 |
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|
| 736 |
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|
| 737 |
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|
| 738 |
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|
| 739 |
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|
| 740 |
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|
| 741 |
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|
| 742 |
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|
| 743 |
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|
| 744 |
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|
| 745 |
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|
| 746 |
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|
| 747 |
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|
| 748 |
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|
| 749 |
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|
| 750 |
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|
| 751 |
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|
| 752 |
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|
| 753 |
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|
| 754 |
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|
| 755 |
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|
| 756 |
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|
| 757 |
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|
| 758 |
+
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|
| 759 |
+
"bigbench/winowhy",
|
| 760 |
+
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|
| 761 |
+
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|
| 762 |
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|
| 763 |
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|
| 764 |
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|
| 765 |
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|
| 766 |
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|
| 767 |
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|
| 768 |
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|
| 769 |
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|
| 770 |
+
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|
| 771 |
+
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|
| 772 |
+
"bigbench/causal_judgment",
|
| 773 |
+
"cos_e/v1.0",
|
| 774 |
+
"cosmos_qa",
|
| 775 |
+
"dream",
|
| 776 |
+
"openbookqa",
|
| 777 |
+
"qasc",
|
| 778 |
+
"quartz",
|
| 779 |
+
"quail",
|
| 780 |
+
"head_qa/en",
|
| 781 |
+
"sciq",
|
| 782 |
+
"social_i_qa",
|
| 783 |
+
"wiki_hop/original",
|
| 784 |
+
"wiqa",
|
| 785 |
+
"piqa",
|
| 786 |
+
"hellaswag",
|
| 787 |
+
"super_glue/copa",
|
| 788 |
+
"balanced-copa",
|
| 789 |
+
"e-CARE",
|
| 790 |
+
"art",
|
| 791 |
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"winogrande/winogrande_xl",
|
| 792 |
+
"codah/codah",
|
| 793 |
+
"ai2_arc/ARC-Easy/challenge",
|
| 794 |
+
"ai2_arc/ARC-Challenge/challenge",
|
| 795 |
+
"definite_pronoun_resolution",
|
| 796 |
+
"swag/regular",
|
| 797 |
+
"math_qa",
|
| 798 |
+
"glue/cola",
|
| 799 |
+
"glue/sst2",
|
| 800 |
+
"utilitarianism",
|
| 801 |
+
"amazon_counterfactual/en",
|
| 802 |
+
"insincere-questions",
|
| 803 |
+
"toxic_conversations",
|
| 804 |
+
"TuringBench",
|
| 805 |
+
"trec",
|
| 806 |
+
"vitaminc",
|
| 807 |
+
"hope_edi/english",
|
| 808 |
+
"rumoureval_2019/RumourEval2019",
|
| 809 |
+
"ethos/binary",
|
| 810 |
+
"ethos/multilabel",
|
| 811 |
+
"tweet_eval/offensive",
|
| 812 |
+
"tweet_eval/sentiment",
|
| 813 |
+
"tweet_eval/irony",
|
| 814 |
+
"tweet_eval/hate",
|
| 815 |
+
"tweet_eval/emotion",
|
| 816 |
+
"tweet_eval/emoji",
|
| 817 |
+
"tweet_eval/stance_abortion",
|
| 818 |
+
"tweet_eval/stance_atheism",
|
| 819 |
+
"tweet_eval/stance_climate",
|
| 820 |
+
"tweet_eval/stance_feminist",
|
| 821 |
+
"tweet_eval/stance_hillary",
|
| 822 |
+
"discovery/discovery",
|
| 823 |
+
"pragmeval/squinky-formality",
|
| 824 |
+
"pragmeval/emobank-arousal",
|
| 825 |
+
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|
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| 930 |
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| 931 |
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| 932 |
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|
| 933 |
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"Politeness_Disagreement",
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| 934 |
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| 3 |
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"content": "[CLS]",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"cls_token": {
|
| 10 |
+
"content": "[CLS]",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"eos_token": {
|
| 17 |
+
"content": "[SEP]",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"mask_token": {
|
| 24 |
+
"content": "[MASK]",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"pad_token": {
|
| 31 |
+
"content": "[PAD]",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
},
|
| 37 |
+
"sep_token": {
|
| 38 |
+
"content": "[SEP]",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false
|
| 43 |
+
},
|
| 44 |
+
"unk_token": {
|
| 45 |
+
"content": "[UNK]",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": true,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false
|
| 50 |
+
}
|
| 51 |
+
}
|
spm.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
|
| 3 |
+
size 2464616
|
tokenizer.json
ADDED
|
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|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,65 @@
|
|
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|
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|
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|
|
|
|
|
|
|
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|
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|
|
|
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|
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|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "[PAD]",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "[CLS]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "[SEP]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "[UNK]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": true,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"128000": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"bos_token": "[CLS]",
|
| 45 |
+
"clean_up_tokenization_spaces": true,
|
| 46 |
+
"cls_token": "[CLS]",
|
| 47 |
+
"do_lower_case": false,
|
| 48 |
+
"eos_token": "[SEP]",
|
| 49 |
+
"mask_token": "[MASK]",
|
| 50 |
+
"max_length": 1680,
|
| 51 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 52 |
+
"pad_to_multiple_of": null,
|
| 53 |
+
"pad_token": "[PAD]",
|
| 54 |
+
"pad_token_type_id": 0,
|
| 55 |
+
"padding_side": "right",
|
| 56 |
+
"sep_token": "[SEP]",
|
| 57 |
+
"sp_model_kwargs": {},
|
| 58 |
+
"split_by_punct": false,
|
| 59 |
+
"stride": 0,
|
| 60 |
+
"tokenizer_class": "DebertaV2Tokenizer",
|
| 61 |
+
"truncation_side": "right",
|
| 62 |
+
"truncation_strategy": "longest_first",
|
| 63 |
+
"unk_token": "[UNK]",
|
| 64 |
+
"vocab_type": "spm"
|
| 65 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:649e04f81adcd305e28a0eee6fa502b72847f79907dddedef7dfc69db01eef51
|
| 3 |
+
size 5240
|
training_params.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"data_path": "autotrain-dpdvy-2fgj4/autotrain-data",
|
| 3 |
+
"model": "tasksource/deberta-small-long-nli",
|
| 4 |
+
"lr": 5e-05,
|
| 5 |
+
"epochs": 5,
|
| 6 |
+
"max_seq_length": 128,
|
| 7 |
+
"batch_size": 16,
|
| 8 |
+
"warmup_ratio": 0.1,
|
| 9 |
+
"gradient_accumulation": 1,
|
| 10 |
+
"optimizer": "adamw_torch",
|
| 11 |
+
"scheduler": "linear",
|
| 12 |
+
"weight_decay": 0.0,
|
| 13 |
+
"max_grad_norm": 1.0,
|
| 14 |
+
"seed": 42,
|
| 15 |
+
"train_split": "train",
|
| 16 |
+
"valid_split": "validation",
|
| 17 |
+
"text_column": "autotrain_text",
|
| 18 |
+
"target_column": "autotrain_label",
|
| 19 |
+
"logging_steps": -1,
|
| 20 |
+
"project_name": "autotrain-dpdvy-2fgj4",
|
| 21 |
+
"auto_find_batch_size": false,
|
| 22 |
+
"mixed_precision": "fp16",
|
| 23 |
+
"save_total_limit": 1,
|
| 24 |
+
"push_to_hub": true,
|
| 25 |
+
"eval_strategy": "epoch",
|
| 26 |
+
"username": "svyas-hf",
|
| 27 |
+
"log": "tensorboard",
|
| 28 |
+
"early_stopping_patience": 5,
|
| 29 |
+
"early_stopping_threshold": 0.01
|
| 30 |
+
}
|