all-MiniLM-L6-v2 trained on MEDI-MTEB triplets

This is a sentence-transformers model finetuned from sentence-transformers/all-MiniLM-L6-v2 on the NQ, pubmed, specter_train_triples, S2ORC_citations_abstracts, fever, gooaq_pairs, codesearchnet, wikihow, WikiAnswers, eli5_question_answer, amazon-qa, medmcqa, zeroshot, TriviaQA_pairs, PAQ_pairs, stackexchange_duplicate_questions_title-body_title-body, trex, flickr30k_captions, hotpotqa, task671_ambigqa_text_generation, task061_ropes_answer_generation, task285_imdb_answer_generation, task905_hate_speech_offensive_classification, task566_circa_classification, task184_snli_entailment_to_neutral_text_modification, task280_stereoset_classification_stereotype_type, task1599_smcalflow_classification, task1384_deal_or_no_dialog_classification, task591_sciq_answer_generation, task823_peixian-rtgender_sentiment_analysis, task023_cosmosqa_question_generation, task900_freebase_qa_category_classification, task924_event2mind_word_generation, task152_tomqa_find_location_easy_noise, task1368_healthfact_sentence_generation, task1661_super_glue_classification, task1187_politifact_classification, task1728_web_nlg_data_to_text, task112_asset_simple_sentence_identification, task1340_msr_text_compression_compression, task072_abductivenli_answer_generation, task1504_hatexplain_answer_generation, task684_online_privacy_policy_text_information_type_generation, task1290_xsum_summarization, task075_squad1.1_answer_generation, task1587_scifact_classification, task384_socialiqa_question_classification, task1555_scitail_answer_generation, task1532_daily_dialog_emotion_classification, task239_tweetqa_answer_generation, task596_mocha_question_generation, task1411_dart_subject_identification, task1359_numer_sense_answer_generation, task329_gap_classification, task220_rocstories_title_classification, task316_crows-pairs_classification_stereotype, task495_semeval_headline_classification, task1168_brown_coarse_pos_tagging, task348_squad2.0_unanswerable_question_generation, task049_multirc_questions_needed_to_answer, task1534_daily_dialog_question_classification, task322_jigsaw_classification_threat, task295_semeval_2020_task4_commonsense_reasoning, task186_snli_contradiction_to_entailment_text_modification, task034_winogrande_question_modification_object, task160_replace_letter_in_a_sentence, task469_mrqa_answer_generation, task105_story_cloze-rocstories_sentence_generation, task649_race_blank_question_generation, task1536_daily_dialog_happiness_classification, task683_online_privacy_policy_text_purpose_answer_generation, task024_cosmosqa_answer_generation, task584_udeps_eng_fine_pos_tagging, task066_timetravel_binary_consistency_classification, task413_mickey_en_sentence_perturbation_generation, task182_duorc_question_generation, task028_drop_answer_generation, task1601_webquestions_answer_generation, task1295_adversarial_qa_question_answering, task201_mnli_neutral_classification, task038_qasc_combined_fact, task293_storycommonsense_emotion_text_generation, task572_recipe_nlg_text_generation, task517_emo_classify_emotion_of_dialogue, task382_hybridqa_answer_generation, task176_break_decompose_questions, task1291_multi_news_summarization, task155_count_nouns_verbs, task031_winogrande_question_generation_object, task279_stereoset_classification_stereotype, task1336_peixian_equity_evaluation_corpus_gender_classifier, task508_scruples_dilemmas_more_ethical_isidentifiable, task518_emo_different_dialogue_emotions, task077_splash_explanation_to_sql, task923_event2mind_classifier, task470_mrqa_question_generation, task638_multi_woz_classification, task1412_web_questions_question_answering, task847_pubmedqa_question_generation, task678_ollie_actual_relationship_answer_generation, task290_tellmewhy_question_answerability, task575_air_dialogue_classification, task189_snli_neutral_to_contradiction_text_modification, task026_drop_question_generation, task162_count_words_starting_with_letter, task079_conala_concat_strings, task610_conllpp_ner, task046_miscellaneous_question_typing, task197_mnli_domain_answer_generation, task1325_qa_zre_question_generation_on_subject_relation, task430_senteval_subject_count, task672_nummersense, task402_grailqa_paraphrase_generation, task904_hate_speech_offensive_classification, task192_hotpotqa_sentence_generation, task069_abductivenli_classification, task574_air_dialogue_sentence_generation, task187_snli_entailment_to_contradiction_text_modification, task749_glucose_reverse_cause_emotion_detection, task1552_scitail_question_generation, task750_aqua_multiple_choice_answering, task327_jigsaw_classification_toxic, task1502_hatexplain_classification, task328_jigsaw_classification_insult, task304_numeric_fused_head_resolution, task1293_kilt_tasks_hotpotqa_question_answering, task216_rocstories_correct_answer_generation, task1326_qa_zre_question_generation_from_answer, task1338_peixian_equity_evaluation_corpus_sentiment_classifier, task1729_personachat_generate_next, task1202_atomic_classification_xneed, task400_paws_paraphrase_classification, task502_scruples_anecdotes_whoiswrong_verification, task088_identify_typo_verification, task221_rocstories_two_choice_classification, task200_mnli_entailment_classification, task074_squad1.1_question_generation, task581_socialiqa_question_generation, task1186_nne_hrngo_classification, task898_freebase_qa_answer_generation, task1408_dart_similarity_classification, task168_strategyqa_question_decomposition, task1357_xlsum_summary_generation, task390_torque_text_span_selection, task165_mcscript_question_answering_commonsense, task1533_daily_dialog_formal_classification, task002_quoref_answer_generation, task1297_qasc_question_answering, task305_jeopardy_answer_generation_normal, task029_winogrande_full_object, task1327_qa_zre_answer_generation_from_question, task326_jigsaw_classification_obscene, task1542_every_ith_element_from_starting, task570_recipe_nlg_ner_generation, task1409_dart_text_generation, task401_numeric_fused_head_reference, task846_pubmedqa_classification, task1712_poki_classification, task344_hybridqa_answer_generation, task875_emotion_classification, task1214_atomic_classification_xwant, task106_scruples_ethical_judgment, task238_iirc_answer_from_passage_answer_generation, task1391_winogrande_easy_answer_generation, task195_sentiment140_classification, task163_count_words_ending_with_letter, task579_socialiqa_classification, task569_recipe_nlg_text_generation, task1602_webquestion_question_genreation, task747_glucose_cause_emotion_detection, task219_rocstories_title_answer_generation, task178_quartz_question_answering, task103_facts2story_long_text_generation, task301_record_question_generation, task1369_healthfact_sentence_generation, task515_senteval_odd_word_out, task496_semeval_answer_generation, task1658_billsum_summarization, task1204_atomic_classification_hinderedby, task1392_superglue_multirc_answer_verification, task306_jeopardy_answer_generation_double, task1286_openbookqa_question_answering, task159_check_frequency_of_words_in_sentence_pair, task151_tomqa_find_location_easy_clean, task323_jigsaw_classification_sexually_explicit, task037_qasc_generate_related_fact, task027_drop_answer_type_generation, task1596_event2mind_text_generation_2, task141_odd-man-out_classification_category, task194_duorc_answer_generation, task679_hope_edi_english_text_classification, task246_dream_question_generation, task1195_disflqa_disfluent_to_fluent_conversion, task065_timetravel_consistent_sentence_classification, task351_winomt_classification_gender_identifiability_anti, task580_socialiqa_answer_generation, task583_udeps_eng_coarse_pos_tagging, task202_mnli_contradiction_classification, task222_rocstories_two_chioce_slotting_classification, task498_scruples_anecdotes_whoiswrong_classification, task067_abductivenli_answer_generation, task616_cola_classification, task286_olid_offense_judgment, task188_snli_neutral_to_entailment_text_modification, task223_quartz_explanation_generation, task820_protoqa_answer_generation, task196_sentiment140_answer_generation, task1678_mathqa_answer_selection, task349_squad2.0_answerable_unanswerable_question_classification, task154_tomqa_find_location_hard_noise, task333_hateeval_classification_hate_en, task235_iirc_question_from_subtext_answer_generation, task1554_scitail_classification, task210_logic2text_structured_text_generation, task035_winogrande_question_modification_person, task230_iirc_passage_classification, task1356_xlsum_title_generation, task1726_mathqa_correct_answer_generation, task302_record_classification, task380_boolq_yes_no_question, task212_logic2text_classification, task748_glucose_reverse_cause_event_detection, task834_mathdataset_classification, task350_winomt_classification_gender_identifiability_pro, task191_hotpotqa_question_generation, task236_iirc_question_from_passage_answer_generation, task217_rocstories_ordering_answer_generation, task568_circa_question_generation, task614_glucose_cause_event_detection, task361_spolin_yesand_prompt_response_classification, task421_persent_sentence_sentiment_classification, task203_mnli_sentence_generation, task420_persent_document_sentiment_classification, task153_tomqa_find_location_hard_clean, task346_hybridqa_classification, task1211_atomic_classification_hassubevent, task360_spolin_yesand_response_generation, task510_reddit_tifu_title_summarization, task511_reddit_tifu_long_text_summarization, task345_hybridqa_answer_generation, task270_csrg_counterfactual_context_generation, task307_jeopardy_answer_generation_final, task001_quoref_question_generation, task089_swap_words_verification, task1196_atomic_classification_oeffect, task080_piqa_answer_generation, task1598_nyc_long_text_generation, task240_tweetqa_question_generation, task615_moviesqa_answer_generation, task1347_glue_sts-b_similarity_classification, task114_is_the_given_word_longest, task292_storycommonsense_character_text_generation, task115_help_advice_classification, task431_senteval_object_count, task1360_numer_sense_multiple_choice_qa_generation, task177_para-nmt_paraphrasing, task132_dais_text_modification, task269_csrg_counterfactual_story_generation, task233_iirc_link_exists_classification, task161_count_words_containing_letter, task1205_atomic_classification_isafter, task571_recipe_nlg_ner_generation, task1292_yelp_review_full_text_categorization, task428_senteval_inversion, task311_race_question_generation, task429_senteval_tense, task403_creak_commonsense_inference, task929_products_reviews_classification, task582_naturalquestion_answer_generation, task237_iirc_answer_from_subtext_answer_generation, task050_multirc_answerability, task184_break_generate_question, task669_ambigqa_answer_generation, task169_strategyqa_sentence_generation, task500_scruples_anecdotes_title_generation, task241_tweetqa_classification, task1345_glue_qqp_question_paraprashing, task218_rocstories_swap_order_answer_generation, task613_politifact_text_generation, task1167_penn_treebank_coarse_pos_tagging, task1422_mathqa_physics, task247_dream_answer_generation, task199_mnli_classification, task164_mcscript_question_answering_text, task1541_agnews_classification, task516_senteval_conjoints_inversion, task294_storycommonsense_motiv_text_generation, task501_scruples_anecdotes_post_type_verification, task213_rocstories_correct_ending_classification, task821_protoqa_question_generation, task493_review_polarity_classification, task308_jeopardy_answer_generation_all, task1595_event2mind_text_generation_1, task040_qasc_question_generation, task231_iirc_link_classification, task1727_wiqa_what_is_the_effect, task578_curiosity_dialogs_answer_generation, task310_race_classification, task309_race_answer_generation, task379_agnews_topic_classification, task030_winogrande_full_person, task1540_parsed_pdfs_summarization, task039_qasc_find_overlapping_words, task1206_atomic_classification_isbefore, task157_count_vowels_and_consonants, task339_record_answer_generation, task453_swag_answer_generation, task848_pubmedqa_classification, task673_google_wellformed_query_classification, task676_ollie_relationship_answer_generation, task268_casehold_legal_answer_generation, task844_financial_phrasebank_classification, task330_gap_answer_generation, task595_mocha_answer_generation, task1285_kpa_keypoint_matching, task234_iirc_passage_line_answer_generation, task494_review_polarity_answer_generation, task670_ambigqa_question_generation, task289_gigaword_summarization, npr, nli, SimpleWiki, amazon_review_2018, ccnews_title_text, agnews, xsum, msmarco, yahoo_answers_title_answer, squad_pairs, wow, mteb-amazon_counterfactual-avs_triplets, mteb-amazon_massive_intent-avs_triplets, mteb-amazon_massive_scenario-avs_triplets, mteb-amazon_reviews_multi-avs_triplets, mteb-banking77-avs_triplets, mteb-emotion-avs_triplets, mteb-imdb-avs_triplets, mteb-mtop_domain-avs_triplets, mteb-mtop_intent-avs_triplets, mteb-toxic_conversations_50k-avs_triplets, mteb-tweet_sentiment_extraction-avs_triplets and covid-bing-query-gpt4-avs_triplets datasets. It maps sentences & paragraphs to a 384-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

Model Details

Model Description

• Model Type: Sentence Transformer
• Base model: sentence-transformers/all-MiniLM-L6-v2
• Maximum Sequence Length: 256 tokens
• Output Dimensionality: 384 tokens
• Similarity Function: Cosine Similarity
• Training Datasets:
  • NQ
  • pubmed
  • specter_train_triples
  • S2ORC_citations_abstracts
  • fever
  • gooaq_pairs
  • codesearchnet
  • wikihow
  • WikiAnswers
  • eli5_question_answer
  • amazon-qa
  • medmcqa
  • zeroshot
  • TriviaQA_pairs
  • PAQ_pairs
  • stackexchange_duplicate_questions_title-body_title-body
  • trex
  • flickr30k_captions
  • hotpotqa
  • task671_ambigqa_text_generation
  • task061_ropes_answer_generation
  • task285_imdb_answer_generation
  • task905_hate_speech_offensive_classification
  • task566_circa_classification
  • task184_snli_entailment_to_neutral_text_modification
  • task280_stereoset_classification_stereotype_type
  • task1599_smcalflow_classification
  • task1384_deal_or_no_dialog_classification
  • task591_sciq_answer_generation
  • task823_peixian-rtgender_sentiment_analysis
  • task023_cosmosqa_question_generation
  • task900_freebase_qa_category_classification
  • task924_event2mind_word_generation
  • task152_tomqa_find_location_easy_noise
  • task1368_healthfact_sentence_generation
  • task1661_super_glue_classification
  • task1187_politifact_classification
  • task1728_web_nlg_data_to_text
  • task112_asset_simple_sentence_identification
  • task1340_msr_text_compression_compression
  • task072_abductivenli_answer_generation
  • task1504_hatexplain_answer_generation
  • task684_online_privacy_policy_text_information_type_generation
  • task1290_xsum_summarization
  • task075_squad1.1_answer_generation
  • task1587_scifact_classification
  • task384_socialiqa_question_classification
  • task1555_scitail_answer_generation
  • task1532_daily_dialog_emotion_classification
  • task239_tweetqa_answer_generation
  • task596_mocha_question_generation
  • task1411_dart_subject_identification
  • task1359_numer_sense_answer_generation
  • task329_gap_classification
  • task220_rocstories_title_classification
  • task316_crows-pairs_classification_stereotype
  • task495_semeval_headline_classification
  • task1168_brown_coarse_pos_tagging
  • task348_squad2.0_unanswerable_question_generation
  • task049_multirc_questions_needed_to_answer
  • task1534_daily_dialog_question_classification
  • task322_jigsaw_classification_threat
  • task295_semeval_2020_task4_commonsense_reasoning
  • task186_snli_contradiction_to_entailment_text_modification
  • task034_winogrande_question_modification_object
  • task160_replace_letter_in_a_sentence
  • task469_mrqa_answer_generation
  • task105_story_cloze-rocstories_sentence_generation
  • task649_race_blank_question_generation
  • task1536_daily_dialog_happiness_classification
  • task683_online_privacy_policy_text_purpose_answer_generation
  • task024_cosmosqa_answer_generation
  • task584_udeps_eng_fine_pos_tagging
  • task066_timetravel_binary_consistency_classification
  • task413_mickey_en_sentence_perturbation_generation
  • task182_duorc_question_generation
  • task028_drop_answer_generation
  • task1601_webquestions_answer_generation
  • task1295_adversarial_qa_question_answering
  • task201_mnli_neutral_classification
  • task038_qasc_combined_fact
  • task293_storycommonsense_emotion_text_generation
  • task572_recipe_nlg_text_generation
  • task517_emo_classify_emotion_of_dialogue
  • task382_hybridqa_answer_generation
  • task176_break_decompose_questions
  • task1291_multi_news_summarization
  • task155_count_nouns_verbs
  • task031_winogrande_question_generation_object
  • task279_stereoset_classification_stereotype
  • task1336_peixian_equity_evaluation_corpus_gender_classifier
  • task508_scruples_dilemmas_more_ethical_isidentifiable
  • task518_emo_different_dialogue_emotions
  • task077_splash_explanation_to_sql
  • task923_event2mind_classifier
  • task470_mrqa_question_generation
  • task638_multi_woz_classification
  • task1412_web_questions_question_answering
  • task847_pubmedqa_question_generation
  • task678_ollie_actual_relationship_answer_generation
  • task290_tellmewhy_question_answerability
  • task575_air_dialogue_classification
  • task189_snli_neutral_to_contradiction_text_modification
  • task026_drop_question_generation
  • task162_count_words_starting_with_letter
  • task079_conala_concat_strings
  • task610_conllpp_ner
  • task046_miscellaneous_question_typing
  • task197_mnli_domain_answer_generation
  • task1325_qa_zre_question_generation_on_subject_relation
  • task430_senteval_subject_count
  • task672_nummersense
  • task402_grailqa_paraphrase_generation
  • task904_hate_speech_offensive_classification
  • task192_hotpotqa_sentence_generation
  • task069_abductivenli_classification
  • task574_air_dialogue_sentence_generation
  • task187_snli_entailment_to_contradiction_text_modification
  • task749_glucose_reverse_cause_emotion_detection
  • task1552_scitail_question_generation
  • task750_aqua_multiple_choice_answering
  • task327_jigsaw_classification_toxic
  • task1502_hatexplain_classification
  • task328_jigsaw_classification_insult
  • task304_numeric_fused_head_resolution
  • task1293_kilt_tasks_hotpotqa_question_answering
  • task216_rocstories_correct_answer_generation
  • task1326_qa_zre_question_generation_from_answer
  • task1338_peixian_equity_evaluation_corpus_sentiment_classifier
  • task1729_personachat_generate_next
  • task1202_atomic_classification_xneed
  • task400_paws_paraphrase_classification
  • task502_scruples_anecdotes_whoiswrong_verification
  • task088_identify_typo_verification
  • task221_rocstories_two_choice_classification
  • task200_mnli_entailment_classification
  • task074_squad1.1_question_generation
  • task581_socialiqa_question_generation
  • task1186_nne_hrngo_classification
  • task898_freebase_qa_answer_generation
  • task1408_dart_similarity_classification
  • task168_strategyqa_question_decomposition
  • task1357_xlsum_summary_generation
  • task390_torque_text_span_selection
  • task165_mcscript_question_answering_commonsense
  • task1533_daily_dialog_formal_classification
  • task002_quoref_answer_generation
  • task1297_qasc_question_answering
  • task305_jeopardy_answer_generation_normal
  • task029_winogrande_full_object
  • task1327_qa_zre_answer_generation_from_question
  • task326_jigsaw_classification_obscene
  • task1542_every_ith_element_from_starting
  • task570_recipe_nlg_ner_generation
  • task1409_dart_text_generation
  • task401_numeric_fused_head_reference
  • task846_pubmedqa_classification
  • task1712_poki_classification
  • task344_hybridqa_answer_generation
  • task875_emotion_classification
  • task1214_atomic_classification_xwant
  • task106_scruples_ethical_judgment
  • task238_iirc_answer_from_passage_answer_generation
  • task1391_winogrande_easy_answer_generation
  • task195_sentiment140_classification
  • task163_count_words_ending_with_letter
  • task579_socialiqa_classification
  • task569_recipe_nlg_text_generation
  • task1602_webquestion_question_genreation
  • task747_glucose_cause_emotion_detection
  • task219_rocstories_title_answer_generation
  • task178_quartz_question_answering
  • task103_facts2story_long_text_generation
  • task301_record_question_generation
  • task1369_healthfact_sentence_generation
  • task515_senteval_odd_word_out
  • task496_semeval_answer_generation
  • task1658_billsum_summarization
  • task1204_atomic_classification_hinderedby
  • task1392_superglue_multirc_answer_verification
  • task306_jeopardy_answer_generation_double
  • task1286_openbookqa_question_answering
  • task159_check_frequency_of_words_in_sentence_pair
  • task151_tomqa_find_location_easy_clean
  • task323_jigsaw_classification_sexually_explicit
  • task037_qasc_generate_related_fact
  • task027_drop_answer_type_generation
  • task1596_event2mind_text_generation_2
  • task141_odd-man-out_classification_category
  • task194_duorc_answer_generation
  • task679_hope_edi_english_text_classification
  • task246_dream_question_generation
  • task1195_disflqa_disfluent_to_fluent_conversion
  • task065_timetravel_consistent_sentence_classification
  • task351_winomt_classification_gender_identifiability_anti
  • task580_socialiqa_answer_generation
  • task583_udeps_eng_coarse_pos_tagging
  • task202_mnli_contradiction_classification
  • task222_rocstories_two_chioce_slotting_classification
  • task498_scruples_anecdotes_whoiswrong_classification
  • task067_abductivenli_answer_generation
  • task616_cola_classification
  • task286_olid_offense_judgment
  • task188_snli_neutral_to_entailment_text_modification
  • task223_quartz_explanation_generation
  • task820_protoqa_answer_generation
  • task196_sentiment140_answer_generation
  • task1678_mathqa_answer_selection
  • task349_squad2.0_answerable_unanswerable_question_classification
  • task154_tomqa_find_location_hard_noise
  • task333_hateeval_classification_hate_en
  • task235_iirc_question_from_subtext_answer_generation
  • task1554_scitail_classification
  • task210_logic2text_structured_text_generation
  • task035_winogrande_question_modification_person
  • task230_iirc_passage_classification
  • task1356_xlsum_title_generation
  • task1726_mathqa_correct_answer_generation
  • task302_record_classification
  • task380_boolq_yes_no_question
  • task212_logic2text_classification
  • task748_glucose_reverse_cause_event_detection
  • task834_mathdataset_classification
  • task350_winomt_classification_gender_identifiability_pro
  • task191_hotpotqa_question_generation
  • task236_iirc_question_from_passage_answer_generation
  • task217_rocstories_ordering_answer_generation
  • task568_circa_question_generation
  • task614_glucose_cause_event_detection
  • task361_spolin_yesand_prompt_response_classification
  • task421_persent_sentence_sentiment_classification
  • task203_mnli_sentence_generation
  • task420_persent_document_sentiment_classification
  • task153_tomqa_find_location_hard_clean
  • task346_hybridqa_classification
  • task1211_atomic_classification_hassubevent
  • task360_spolin_yesand_response_generation
  • task510_reddit_tifu_title_summarization
  • task511_reddit_tifu_long_text_summarization
  • task345_hybridqa_answer_generation
  • task270_csrg_counterfactual_context_generation
  • task307_jeopardy_answer_generation_final
  • task001_quoref_question_generation
  • task089_swap_words_verification
  • task1196_atomic_classification_oeffect
  • task080_piqa_answer_generation
  • task1598_nyc_long_text_generation
  • task240_tweetqa_question_generation
  • task615_moviesqa_answer_generation
  • task1347_glue_sts-b_similarity_classification
  • task114_is_the_given_word_longest
  • task292_storycommonsense_character_text_generation
  • task115_help_advice_classification
  • task431_senteval_object_count
  • task1360_numer_sense_multiple_choice_qa_generation
  • task177_para-nmt_paraphrasing
  • task132_dais_text_modification
  • task269_csrg_counterfactual_story_generation
  • task233_iirc_link_exists_classification
  • task161_count_words_containing_letter
  • task1205_atomic_classification_isafter
  • task571_recipe_nlg_ner_generation
  • task1292_yelp_review_full_text_categorization
  • task428_senteval_inversion
  • task311_race_question_generation
  • task429_senteval_tense
  • task403_creak_commonsense_inference
  • task929_products_reviews_classification
  • task582_naturalquestion_answer_generation
  • task237_iirc_answer_from_subtext_answer_generation
  • task050_multirc_answerability
  • task184_break_generate_question
  • task669_ambigqa_answer_generation
  • task169_strategyqa_sentence_generation
  • task500_scruples_anecdotes_title_generation
  • task241_tweetqa_classification
  • task1345_glue_qqp_question_paraprashing
  • task218_rocstories_swap_order_answer_generation
  • task613_politifact_text_generation
  • task1167_penn_treebank_coarse_pos_tagging
  • task1422_mathqa_physics
  • task247_dream_answer_generation
  • task199_mnli_classification
  • task164_mcscript_question_answering_text
  • task1541_agnews_classification
  • task516_senteval_conjoints_inversion
  • task294_storycommonsense_motiv_text_generation
  • task501_scruples_anecdotes_post_type_verification
  • task213_rocstories_correct_ending_classification
  • task821_protoqa_question_generation
  • task493_review_polarity_classification
  • task308_jeopardy_answer_generation_all
  • task1595_event2mind_text_generation_1
  • task040_qasc_question_generation
  • task231_iirc_link_classification
  • task1727_wiqa_what_is_the_effect
  • task578_curiosity_dialogs_answer_generation
  • task310_race_classification
  • task309_race_answer_generation
  • task379_agnews_topic_classification
  • task030_winogrande_full_person
  • task1540_parsed_pdfs_summarization
  • task039_qasc_find_overlapping_words
  • task1206_atomic_classification_isbefore
  • task157_count_vowels_and_consonants
  • task339_record_answer_generation
  • task453_swag_answer_generation
  • task848_pubmedqa_classification
  • task673_google_wellformed_query_classification
  • task676_ollie_relationship_answer_generation
  • task268_casehold_legal_answer_generation
  • task844_financial_phrasebank_classification
  • task330_gap_answer_generation
  • task595_mocha_answer_generation
  • task1285_kpa_keypoint_matching
  • task234_iirc_passage_line_answer_generation
  • task494_review_polarity_answer_generation
  • task670_ambigqa_question_generation
  • task289_gigaword_summarization
  • npr
  • nli
  • SimpleWiki
  • amazon_review_2018
  • ccnews_title_text
  • agnews
  • xsum
  • msmarco
  • yahoo_answers_title_answer
  • squad_pairs
  • wow
  • mteb-amazon_counterfactual-avs_triplets
  • mteb-amazon_massive_intent-avs_triplets
  • mteb-amazon_massive_scenario-avs_triplets
  • mteb-amazon_reviews_multi-avs_triplets
  • mteb-banking77-avs_triplets
  • mteb-emotion-avs_triplets
  • mteb-imdb-avs_triplets
  • mteb-mtop_domain-avs_triplets
  • mteb-mtop_intent-avs_triplets
  • mteb-toxic_conversations_50k-avs_triplets
  • mteb-tweet_sentiment_extraction-avs_triplets
  • covid-bing-query-gpt4-avs_triplets
• Language: en
• License: apache-2.0

Model Sources

• Documentation: Sentence Transformers Documentation
• Repository: Sentence Transformers on GitHub
• Hugging Face: Sentence Transformers on Hugging Face

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'max_seq_length': 256, 'do_lower_case': False}) with Transformer model: BertModel 
  (1): Pooling({'word_embedding_dimension': 384, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
  (2): Normalize()
)

Usage

Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

pip install -U sentence-transformers

Then you can load this model and run inference.

from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("avsolatorio/all-MiniLM-L6-v2-MEDI-MTEB-triplet-final")
# Run inference
sentences = [
    'who does george nelson represent in o brother where art thou',
    'O Brother, Where Art Thou? omitted all instances of the words "damn" and "hell" from the Coens\' script, which only became known to Clooney after the directors pointed this out to him during shooting. This was the fourth film of the brothers in which John Turturro has starred. Other actors in "O Brother, Where Art Thou?" who had worked previously with the Coens include John Goodman (three films), Holly Hunter (two), Michael Badalucco and Charles Durning (one film each). The Coens used digital color correction to give the film a sepia-tinted look. Joel stated this was because the actual set was "greener than Ireland". Cinematographer',
    'O Brother, Where Art Thou? the film got together and performed the music from the film in a Down from the Mountain concert tour which was filmed for TV and DVD. This included Ralph Stanley, John Hartford, Alison Krauss, Emmylou Harris, Gillian Welch, Chris Sharp, and others. O Brother, Where Art Thou? O Brother, Where Art Thou? is a 2000 crime comedy film written, produced, and directed by Joel and Ethan Coen, and starring George Clooney, John Turturro, and Tim Blake Nelson, with John Goodman, Holly Hunter, and Charles Durning in supporting roles. The film is set in 1937 rural Mississippi during the Great Depression.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 384]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]

Evaluation

Metrics

Triplet

• Dataset: medi-mteb-dev
• Evaluated with TripletEvaluator

Training Details

Training Datasets

NQ

• Dataset: NQ
• Size: 49,676 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 10 tokensmean: 11.91 tokensmax: 24 tokens	min: 111 tokensmean: 137.95 tokensmax: 212 tokens	min: 113 tokensmean: 138.79 tokensmax: 209 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

pubmed

• Dataset: pubmed
• Size: 29,908 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 6 tokensmean: 22.81 tokensmax: 62 tokens	min: 93 tokensmean: 240.49 tokensmax: 256 tokens	min: 73 tokensmean: 239.5 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

specter_train_triples

• Dataset: specter_train_triples
• Size: 49,676 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 4 tokensmean: 15.69 tokensmax: 94 tokens	min: 4 tokensmean: 14.12 tokensmax: 39 tokens	min: 4 tokensmean: 16.39 tokensmax: 64 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

S2ORC_citations_abstracts

• Dataset: S2ORC_citations_abstracts
• Size: 99,352 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 20 tokensmean: 196.74 tokensmax: 256 tokens	min: 24 tokensmean: 203.91 tokensmax: 256 tokens	min: 24 tokensmean: 208.09 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

fever

• Dataset: fever
• Size: 74,514 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 6 tokensmean: 12.49 tokensmax: 51 tokens	min: 48 tokensmean: 112.67 tokensmax: 154 tokens	min: 35 tokensmean: 113.92 tokensmax: 163 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

gooaq_pairs

• Dataset: gooaq_pairs
• Size: 24,838 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 8 tokensmean: 11.92 tokensmax: 24 tokens	min: 14 tokensmean: 60.11 tokensmax: 150 tokens	min: 15 tokensmean: 63.73 tokensmax: 150 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

codesearchnet

• Dataset: codesearchnet
• Size: 15,210 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 5 tokensmean: 28.96 tokensmax: 143 tokens	min: 28 tokensmean: 134.91 tokensmax: 256 tokens	min: 29 tokensmean: 163.95 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

wikihow

• Dataset: wikihow
• Size: 5,070 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 4 tokensmean: 8.05 tokensmax: 21 tokens	min: 13 tokensmean: 45.27 tokensmax: 117 tokens	min: 10 tokensmean: 35.68 tokensmax: 75 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

WikiAnswers

• Dataset: WikiAnswers
• Size: 24,838 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 6 tokensmean: 12.79 tokensmax: 43 tokens	min: 6 tokensmean: 12.93 tokensmax: 47 tokens	min: 6 tokensmean: 13.13 tokensmax: 44 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

eli5_question_answer

• Dataset: eli5_question_answer
• Size: 24,838 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 5 tokensmean: 21.16 tokensmax: 69 tokens	min: 11 tokensmean: 100.92 tokensmax: 256 tokens	min: 13 tokensmean: 112.62 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

amazon-qa

• Dataset: amazon-qa
• Size: 99,352 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 6 tokensmean: 23.56 tokensmax: 256 tokens	min: 15 tokensmean: 52.4 tokensmax: 256 tokens	min: 18 tokensmean: 62.09 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

medmcqa

• Dataset: medmcqa
• Size: 29,908 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 4 tokensmean: 19.62 tokensmax: 167 tokens	min: 3 tokensmean: 110.24 tokensmax: 256 tokens	min: 3 tokensmean: 111.99 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

zeroshot

• Dataset: zeroshot
• Size: 15,210 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 5 tokensmean: 8.7 tokensmax: 20 tokens	min: 10 tokensmean: 112.73 tokensmax: 178 tokens	min: 14 tokensmean: 115.71 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

TriviaQA_pairs

• Dataset: TriviaQA_pairs
• Size: 49,676 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 8 tokensmean: 19.22 tokensmax: 59 tokens	min: 33 tokensmean: 246.01 tokensmax: 256 tokens	min: 21 tokensmean: 232.19 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

PAQ_pairs

• Dataset: PAQ_pairs
• Size: 24,838 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 8 tokensmean: 12.6 tokensmax: 22 tokens	min: 112 tokensmean: 136.78 tokensmax: 205 tokens	min: 110 tokensmean: 135.66 tokensmax: 254 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

stackexchange_duplicate_questions_title-body_title-body

• Dataset: stackexchange_duplicate_questions_title-body_title-body
• Size: 24,838 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 18 tokensmean: 150.59 tokensmax: 256 tokens	min: 20 tokensmean: 142.04 tokensmax: 256 tokens	min: 27 tokensmean: 198.29 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

trex

• Dataset: trex
• Size: 29,908 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 5 tokensmean: 9.55 tokensmax: 27 tokens	min: 16 tokensmean: 104.71 tokensmax: 212 tokens	min: 14 tokensmean: 118.22 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

flickr30k_captions

• Dataset: flickr30k_captions
• Size: 24,838 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 7 tokensmean: 15.95 tokensmax: 88 tokens	min: 7 tokensmean: 15.68 tokensmax: 59 tokens	min: 7 tokensmean: 17.15 tokensmax: 52 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

hotpotqa

• Dataset: hotpotqa
• Size: 40,048 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 8 tokensmean: 23.83 tokensmax: 103 tokens	min: 27 tokensmean: 113.6 tokensmax: 194 tokens	min: 38 tokensmean: 115.33 tokensmax: 178 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task671_ambigqa_text_generation

• Dataset: task671_ambigqa_text_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 11 tokensmean: 12.69 tokensmax: 26 tokens	min: 11 tokensmean: 12.52 tokensmax: 23 tokens	min: 11 tokensmean: 12.23 tokensmax: 19 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task061_ropes_answer_generation

• Dataset: task061_ropes_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 117 tokensmean: 208.96 tokensmax: 256 tokens	min: 117 tokensmean: 208.27 tokensmax: 256 tokens	min: 119 tokensmean: 210.46 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task285_imdb_answer_generation

• Dataset: task285_imdb_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 46 tokensmean: 208.78 tokensmax: 256 tokens	min: 49 tokensmean: 203.97 tokensmax: 256 tokens	min: 46 tokensmean: 208.78 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task905_hate_speech_offensive_classification

• Dataset: task905_hate_speech_offensive_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 15 tokensmean: 41.73 tokensmax: 164 tokens	min: 13 tokensmean: 40.48 tokensmax: 198 tokens	min: 13 tokensmean: 32.23 tokensmax: 135 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task566_circa_classification

• Dataset: task566_circa_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 20 tokensmean: 27.77 tokensmax: 48 tokens	min: 19 tokensmean: 27.22 tokensmax: 44 tokens	min: 20 tokensmean: 27.46 tokensmax: 47 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task184_snli_entailment_to_neutral_text_modification

• Dataset: task184_snli_entailment_to_neutral_text_modification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 17 tokensmean: 29.98 tokensmax: 72 tokens	min: 16 tokensmean: 28.9 tokensmax: 60 tokens	min: 17 tokensmean: 30.33 tokensmax: 100 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task280_stereoset_classification_stereotype_type

• Dataset: task280_stereoset_classification_stereotype_type
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 8 tokensmean: 18.47 tokensmax: 53 tokens	min: 8 tokensmean: 16.89 tokensmax: 53 tokens	min: 8 tokensmean: 16.86 tokensmax: 51 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1599_smcalflow_classification

• Dataset: task1599_smcalflow_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 3 tokensmean: 11.25 tokensmax: 37 tokens	min: 3 tokensmean: 10.47 tokensmax: 38 tokens	min: 5 tokensmean: 16.12 tokensmax: 45 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1384_deal_or_no_dialog_classification

• Dataset: task1384_deal_or_no_dialog_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 14 tokensmean: 59.1 tokensmax: 256 tokens	min: 12 tokensmean: 59.35 tokensmax: 256 tokens	min: 15 tokensmean: 58.47 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task591_sciq_answer_generation

• Dataset: task591_sciq_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 8 tokensmean: 17.61 tokensmax: 70 tokens	min: 7 tokensmean: 17.17 tokensmax: 43 tokens	min: 6 tokensmean: 16.67 tokensmax: 75 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task823_peixian-rtgender_sentiment_analysis

• Dataset: task823_peixian-rtgender_sentiment_analysis
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 16 tokensmean: 57.26 tokensmax: 179 tokens	min: 16 tokensmean: 60.03 tokensmax: 153 tokens	min: 14 tokensmean: 60.89 tokensmax: 169 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task023_cosmosqa_question_generation

• Dataset: task023_cosmosqa_question_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 35 tokensmean: 79.52 tokensmax: 159 tokens	min: 34 tokensmean: 80.36 tokensmax: 165 tokens	min: 35 tokensmean: 79.14 tokensmax: 161 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task900_freebase_qa_category_classification

• Dataset: task900_freebase_qa_category_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 8 tokensmean: 20.44 tokensmax: 88 tokens	min: 8 tokensmean: 18.33 tokensmax: 62 tokens	min: 8 tokensmean: 19.14 tokensmax: 69 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task924_event2mind_word_generation

• Dataset: task924_event2mind_word_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 17 tokensmean: 32.06 tokensmax: 64 tokens	min: 17 tokensmean: 32.13 tokensmax: 70 tokens	min: 17 tokensmean: 31.58 tokensmax: 68 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task152_tomqa_find_location_easy_noise

• Dataset: task152_tomqa_find_location_easy_noise
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 37 tokensmean: 52.96 tokensmax: 79 tokens	min: 37 tokensmean: 52.53 tokensmax: 78 tokens	min: 37 tokensmean: 52.92 tokensmax: 82 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1368_healthfact_sentence_generation

• Dataset: task1368_healthfact_sentence_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 91 tokensmean: 240.57 tokensmax: 256 tokens	min: 84 tokensmean: 239.31 tokensmax: 256 tokens	min: 97 tokensmean: 245.05 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1661_super_glue_classification

• Dataset: task1661_super_glue_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 35 tokensmean: 140.99 tokensmax: 256 tokens	min: 31 tokensmean: 142.44 tokensmax: 256 tokens	min: 31 tokensmean: 143.37 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1187_politifact_classification

• Dataset: task1187_politifact_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 14 tokensmean: 33.28 tokensmax: 79 tokens	min: 10 tokensmean: 31.59 tokensmax: 75 tokens	min: 13 tokensmean: 31.9 tokensmax: 71 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1728_web_nlg_data_to_text

• Dataset: task1728_web_nlg_data_to_text
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 7 tokensmean: 43.07 tokensmax: 152 tokens	min: 7 tokensmean: 46.55 tokensmax: 152 tokens	min: 8 tokensmean: 43.18 tokensmax: 152 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task112_asset_simple_sentence_identification

• Dataset: task112_asset_simple_sentence_identification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 18 tokensmean: 51.87 tokensmax: 136 tokens	min: 18 tokensmean: 51.68 tokensmax: 144 tokens	min: 22 tokensmean: 51.93 tokensmax: 114 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1340_msr_text_compression_compression

• Dataset: task1340_msr_text_compression_compression
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 14 tokensmean: 41.77 tokensmax: 116 tokens	min: 14 tokensmean: 44.27 tokensmax: 133 tokens	min: 12 tokensmean: 40.08 tokensmax: 141 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task072_abductivenli_answer_generation

• Dataset: task072_abductivenli_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 17 tokensmean: 26.8 tokensmax: 56 tokens	min: 16 tokensmean: 26.15 tokensmax: 47 tokens	min: 16 tokensmean: 26.4 tokensmax: 55 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1504_hatexplain_answer_generation

• Dataset: task1504_hatexplain_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 7 tokensmean: 28.53 tokensmax: 72 tokens	min: 5 tokensmean: 24.21 tokensmax: 86 tokens	min: 5 tokensmean: 27.94 tokensmax: 67 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task684_online_privacy_policy_text_information_type_generation

• Dataset: task684_online_privacy_policy_text_information_type_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 10 tokensmean: 29.91 tokensmax: 68 tokens	min: 10 tokensmean: 30.18 tokensmax: 61 tokens	min: 14 tokensmean: 30.06 tokensmax: 68 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1290_xsum_summarization

• Dataset: task1290_xsum_summarization
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 39 tokensmean: 226.28 tokensmax: 256 tokens	min: 50 tokensmean: 229.51 tokensmax: 256 tokens	min: 34 tokensmean: 229.59 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task075_squad1.1_answer_generation

• Dataset: task075_squad1.1_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 48 tokensmean: 167.12 tokensmax: 256 tokens	min: 45 tokensmean: 173.01 tokensmax: 256 tokens	min: 46 tokensmean: 178.89 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1587_scifact_classification

• Dataset: task1587_scifact_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 88 tokensmean: 242.08 tokensmax: 256 tokens	min: 90 tokensmean: 246.93 tokensmax: 256 tokens	min: 86 tokensmean: 244.36 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task384_socialiqa_question_classification

• Dataset: task384_socialiqa_question_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 24 tokensmean: 35.46 tokensmax: 78 tokens	min: 22 tokensmean: 34.33 tokensmax: 59 tokens	min: 22 tokensmean: 34.52 tokensmax: 57 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1555_scitail_answer_generation

• Dataset: task1555_scitail_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 18 tokensmean: 36.88 tokensmax: 90 tokens	min: 18 tokensmean: 36.12 tokensmax: 80 tokens	min: 18 tokensmean: 36.59 tokensmax: 92 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1532_daily_dialog_emotion_classification

• Dataset: task1532_daily_dialog_emotion_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 16 tokensmean: 135.8 tokensmax: 256 tokens	min: 15 tokensmean: 140.06 tokensmax: 256 tokens	min: 17 tokensmean: 134.53 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task239_tweetqa_answer_generation

• Dataset: task239_tweetqa_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 28 tokensmean: 56.05 tokensmax: 91 tokens	min: 29 tokensmean: 56.59 tokensmax: 92 tokens	min: 25 tokensmean: 56.05 tokensmax: 81 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task596_mocha_question_generation

• Dataset: task596_mocha_question_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 34 tokensmean: 80.75 tokensmax: 163 tokens	min: 12 tokensmean: 96.06 tokensmax: 256 tokens	min: 10 tokensmean: 45.02 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1411_dart_subject_identification

• Dataset: task1411_dart_subject_identification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 7 tokensmean: 15.01 tokensmax: 74 tokens	min: 6 tokensmean: 14.1 tokensmax: 37 tokens	min: 6 tokensmean: 14.36 tokensmax: 38 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1359_numer_sense_answer_generation

• Dataset: task1359_numer_sense_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 10 tokensmean: 18.75 tokensmax: 30 tokens	min: 10 tokensmean: 18.43 tokensmax: 33 tokens	min: 10 tokensmean: 18.3 tokensmax: 30 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task329_gap_classification

• Dataset: task329_gap_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 40 tokensmean: 123.98 tokensmax: 256 tokens	min: 62 tokensmean: 127.04 tokensmax: 256 tokens	min: 58 tokensmean: 128.35 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task220_rocstories_title_classification

• Dataset: task220_rocstories_title_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 53 tokensmean: 80.81 tokensmax: 116 tokens	min: 51 tokensmean: 81.14 tokensmax: 108 tokens	min: 55 tokensmean: 79.79 tokensmax: 115 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task316_crows-pairs_classification_stereotype

• Dataset: task316_crows-pairs_classification_stereotype
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 8 tokensmean: 19.78 tokensmax: 51 tokens	min: 7 tokensmean: 18.35 tokensmax: 41 tokens	min: 7 tokensmean: 19.82 tokensmax: 52 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task495_semeval_headline_classification

• Dataset: task495_semeval_headline_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 17 tokensmean: 24.57 tokensmax: 42 tokens	min: 15 tokensmean: 24.23 tokensmax: 41 tokens	min: 15 tokensmean: 24.2 tokensmax: 38 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1168_brown_coarse_pos_tagging

• Dataset: task1168_brown_coarse_pos_tagging
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 13 tokensmean: 43.83 tokensmax: 142 tokens	min: 12 tokensmean: 43.44 tokensmax: 197 tokens	min: 12 tokensmean: 44.95 tokensmax: 197 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task348_squad2.0_unanswerable_question_generation

• Dataset: task348_squad2.0_unanswerable_question_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 30 tokensmean: 153.01 tokensmax: 256 tokens	min: 38 tokensmean: 161.19 tokensmax: 256 tokens	min: 33 tokensmean: 167.06 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task049_multirc_questions_needed_to_answer

• Dataset: task049_multirc_questions_needed_to_answer
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 174 tokensmean: 252.54 tokensmax: 256 tokens	min: 169 tokensmean: 252.57 tokensmax: 256 tokens	min: 178 tokensmean: 252.73 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1534_daily_dialog_question_classification

• Dataset: task1534_daily_dialog_question_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 17 tokensmean: 125.31 tokensmax: 256 tokens	min: 15 tokensmean: 130.35 tokensmax: 256 tokens	min: 16 tokensmean: 135.56 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task322_jigsaw_classification_threat

• Dataset: task322_jigsaw_classification_threat
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 7 tokensmean: 54.84 tokensmax: 256 tokens	min: 6 tokensmean: 62.09 tokensmax: 249 tokens	min: 6 tokensmean: 62.43 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task295_semeval_2020_task4_commonsense_reasoning

• Dataset: task295_semeval_2020_task4_commonsense_reasoning
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 25 tokensmean: 44.81 tokensmax: 92 tokens	min: 25 tokensmean: 45.07 tokensmax: 95 tokens	min: 25 tokensmean: 44.7 tokensmax: 88 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task186_snli_contradiction_to_entailment_text_modification

• Dataset: task186_snli_contradiction_to_entailment_text_modification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 18 tokensmean: 31.21 tokensmax: 102 tokens	min: 18 tokensmean: 30.13 tokensmax: 65 tokens	min: 18 tokensmean: 32.21 tokensmax: 67 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task034_winogrande_question_modification_object

• Dataset: task034_winogrande_question_modification_object
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 29 tokensmean: 36.36 tokensmax: 53 tokens	min: 29 tokensmean: 35.59 tokensmax: 54 tokens	min: 29 tokensmean: 34.87 tokensmax: 55 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task160_replace_letter_in_a_sentence

• Dataset: task160_replace_letter_in_a_sentence
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 29 tokensmean: 31.98 tokensmax: 49 tokens	min: 28 tokensmean: 31.78 tokensmax: 41 tokens	min: 29 tokensmean: 31.8 tokensmax: 48 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task469_mrqa_answer_generation

• Dataset: task469_mrqa_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 27 tokensmean: 182.22 tokensmax: 256 tokens	min: 25 tokensmean: 180.87 tokensmax: 256 tokens	min: 27 tokensmean: 184.07 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task105_story_cloze-rocstories_sentence_generation

• Dataset: task105_story_cloze-rocstories_sentence_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 36 tokensmean: 55.58 tokensmax: 75 tokens	min: 35 tokensmean: 54.96 tokensmax: 76 tokens	min: 36 tokensmean: 55.99 tokensmax: 76 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task649_race_blank_question_generation

• Dataset: task649_race_blank_question_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 36 tokensmean: 253.19 tokensmax: 256 tokens	min: 36 tokensmean: 252.56 tokensmax: 256 tokens	min: 157 tokensmean: 254.12 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1536_daily_dialog_happiness_classification

• Dataset: task1536_daily_dialog_happiness_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 13 tokensmean: 127.06 tokensmax: 256 tokens	min: 13 tokensmean: 133.94 tokensmax: 256 tokens	min: 16 tokensmean: 142.64 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task683_online_privacy_policy_text_purpose_answer_generation

• Dataset: task683_online_privacy_policy_text_purpose_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 10 tokensmean: 29.93 tokensmax: 68 tokens	min: 10 tokensmean: 30.22 tokensmax: 64 tokens	min: 14 tokensmean: 29.85 tokensmax: 68 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task024_cosmosqa_answer_generation

• Dataset: task024_cosmosqa_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 45 tokensmean: 92.5 tokensmax: 176 tokens	min: 47 tokensmean: 93.22 tokensmax: 174 tokens	min: 42 tokensmean: 94.89 tokensmax: 183 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task584_udeps_eng_fine_pos_tagging

• Dataset: task584_udeps_eng_fine_pos_tagging
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 12 tokensmean: 40.13 tokensmax: 120 tokens	min: 12 tokensmean: 39.18 tokensmax: 186 tokens	min: 12 tokensmean: 40.4 tokensmax: 148 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task066_timetravel_binary_consistency_classification

• Dataset: task066_timetravel_binary_consistency_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 42 tokensmean: 66.89 tokensmax: 93 tokens	min: 43 tokensmean: 67.42 tokensmax: 94 tokens	min: 45 tokensmean: 67.0 tokensmax: 92 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task413_mickey_en_sentence_perturbation_generation

• Dataset: task413_mickey_en_sentence_perturbation_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 7 tokensmean: 13.77 tokensmax: 21 tokens	min: 7 tokensmean: 13.82 tokensmax: 21 tokens	min: 7 tokensmean: 13.31 tokensmax: 20 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task182_duorc_question_generation

• Dataset: task182_duorc_question_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 99 tokensmean: 241.8 tokensmax: 256 tokens	min: 120 tokensmean: 245.95 tokensmax: 256 tokens	min: 99 tokensmean: 246.6 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task028_drop_answer_generation

• Dataset: task028_drop_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 76 tokensmean: 230.72 tokensmax: 256 tokens	min: 86 tokensmean: 234.59 tokensmax: 256 tokens	min: 81 tokensmean: 235.71 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1601_webquestions_answer_generation

• Dataset: task1601_webquestions_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 9 tokensmean: 16.47 tokensmax: 28 tokens	min: 11 tokensmean: 16.67 tokensmax: 28 tokens	min: 9 tokensmean: 16.76 tokensmax: 27 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1295_adversarial_qa_question_answering

• Dataset: task1295_adversarial_qa_question_answering
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 45 tokensmean: 165.1 tokensmax: 256 tokens	min: 54 tokensmean: 167.21 tokensmax: 256 tokens	min: 48 tokensmean: 166.49 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task201_mnli_neutral_classification

• Dataset: task201_mnli_neutral_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 24 tokensmean: 73.0 tokensmax: 218 tokens	min: 25 tokensmean: 73.42 tokensmax: 170 tokens	min: 27 tokensmean: 72.48 tokensmax: 205 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task038_qasc_combined_fact

• Dataset: task038_qasc_combined_fact
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 18 tokensmean: 31.3 tokensmax: 57 tokens	min: 19 tokensmean: 30.49 tokensmax: 53 tokens	min: 18 tokensmean: 30.87 tokensmax: 53 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task293_storycommonsense_emotion_text_generation

• Dataset: task293_storycommonsense_emotion_text_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 14 tokensmean: 40.74 tokensmax: 86 tokens	min: 15 tokensmean: 40.56 tokensmax: 86 tokens	min: 14 tokensmean: 38.5 tokensmax: 86 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task572_recipe_nlg_text_generation

• Dataset: task572_recipe_nlg_text_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 24 tokensmean: 114.82 tokensmax: 256 tokens	min: 24 tokensmean: 121.93 tokensmax: 256 tokens	min: 24 tokensmean: 124.38 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task517_emo_classify_emotion_of_dialogue

• Dataset: task517_emo_classify_emotion_of_dialogue
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 7 tokensmean: 18.18 tokensmax: 78 tokens	min: 7 tokensmean: 17.03 tokensmax: 59 tokens	min: 7 tokensmean: 18.39 tokensmax: 67 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task382_hybridqa_answer_generation

• Dataset: task382_hybridqa_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 29 tokensmean: 42.34 tokensmax: 70 tokens	min: 29 tokensmean: 41.63 tokensmax: 74 tokens	min: 28 tokensmean: 41.73 tokensmax: 75 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task176_break_decompose_questions

• Dataset: task176_break_decompose_questions
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 9 tokensmean: 17.39 tokensmax: 41 tokens	min: 8 tokensmean: 17.19 tokensmax: 39 tokens	min: 8 tokensmean: 15.71 tokensmax: 38 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1291_multi_news_summarization

• Dataset: task1291_multi_news_summarization
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 116 tokensmean: 255.36 tokensmax: 256 tokens	min: 146 tokensmean: 255.71 tokensmax: 256 tokens	min: 68 tokensmean: 252.09 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task155_count_nouns_verbs

• Dataset: task155_count_nouns_verbs
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 23 tokensmean: 27.03 tokensmax: 56 tokens	min: 23 tokensmean: 26.8 tokensmax: 43 tokens	min: 23 tokensmean: 26.94 tokensmax: 46 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task031_winogrande_question_generation_object

• Dataset: task031_winogrande_question_generation_object
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 7 tokensmean: 7.42 tokensmax: 11 tokens	min: 7 tokensmean: 7.31 tokensmax: 11 tokens	min: 7 tokensmean: 7.27 tokensmax: 11 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task279_stereoset_classification_stereotype

• Dataset: task279_stereoset_classification_stereotype
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 8 tokensmean: 17.91 tokensmax: 41 tokens	min: 8 tokensmean: 15.43 tokensmax: 43 tokens	min: 8 tokensmean: 17.2 tokensmax: 50 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1336_peixian_equity_evaluation_corpus_gender_classifier

• Dataset: task1336_peixian_equity_evaluation_corpus_gender_classifier
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 6 tokensmean: 9.62 tokensmax: 17 tokens	min: 6 tokensmean: 9.6 tokensmax: 16 tokens	min: 6 tokensmean: 9.69 tokensmax: 16 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task508_scruples_dilemmas_more_ethical_isidentifiable

• Dataset: task508_scruples_dilemmas_more_ethical_isidentifiable
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 12 tokensmean: 29.63 tokensmax: 94 tokens	min: 12 tokensmean: 28.69 tokensmax: 94 tokens	min: 12 tokensmean: 28.59 tokensmax: 86 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task518_emo_different_dialogue_emotions

• Dataset: task518_emo_different_dialogue_emotions
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 28 tokensmean: 47.83 tokensmax: 106 tokens	min: 28 tokensmean: 45.51 tokensmax: 116 tokens	min: 26 tokensmean: 45.81 tokensmax: 123 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task077_splash_explanation_to_sql

• Dataset: task077_splash_explanation_to_sql
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 8 tokensmean: 39.82 tokensmax: 126 tokens	min: 8 tokensmean: 39.88 tokensmax: 126 tokens	min: 8 tokensmean: 35.83 tokensmax: 111 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task923_event2mind_classifier

• Dataset: task923_event2mind_classifier
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 10 tokensmean: 20.61 tokensmax: 46 tokens	min: 11 tokensmean: 18.62 tokensmax: 41 tokens	min: 11 tokensmean: 19.51 tokensmax: 46 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task470_mrqa_question_generation

• Dataset: task470_mrqa_question_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 13 tokensmean: 172.18 tokensmax: 256 tokens	min: 11 tokensmean: 175.43 tokensmax: 256 tokens	min: 14 tokensmean: 180.36 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task638_multi_woz_classification

• Dataset: task638_multi_woz_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 78 tokensmean: 223.56 tokensmax: 256 tokens	min: 76 tokensmean: 220.51 tokensmax: 256 tokens	min: 64 tokensmean: 220.0 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1412_web_questions_question_answering

• Dataset: task1412_web_questions_question_answering
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 6 tokensmean: 10.33 tokensmax: 17 tokens	min: 6 tokensmean: 10.18 tokensmax: 17 tokens	min: 6 tokensmean: 10.08 tokensmax: 16 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task847_pubmedqa_question_generation

• Dataset: task847_pubmedqa_question_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 21 tokensmean: 248.66 tokensmax: 256 tokens	min: 21 tokensmean: 248.78 tokensmax: 256 tokens	min: 43 tokensmean: 249.11 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task678_ollie_actual_relationship_answer_generation

• Dataset: task678_ollie_actual_relationship_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 20 tokensmean: 41.01 tokensmax: 95 tokens	min: 19 tokensmean: 37.95 tokensmax: 102 tokens	min: 18 tokensmean: 41.14 tokensmax: 104 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task290_tellmewhy_question_answerability

• Dataset: task290_tellmewhy_question_answerability
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 37 tokensmean: 63.19 tokensmax: 95 tokens	min: 36 tokensmean: 62.66 tokensmax: 94 tokens	min: 37 tokensmean: 63.44 tokensmax: 95 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task575_air_dialogue_classification

• Dataset: task575_air_dialogue_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 4 tokensmean: 14.16 tokensmax: 45 tokens	min: 4 tokensmean: 13.55 tokensmax: 43 tokens	min: 4 tokensmean: 12.3 tokensmax: 42 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task189_snli_neutral_to_contradiction_text_modification

• Dataset: task189_snli_neutral_to_contradiction_text_modification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 18 tokensmean: 31.82 tokensmax: 60 tokens	min: 18 tokensmean: 30.75 tokensmax: 57 tokens	min: 18 tokensmean: 33.25 tokensmax: 105 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task026_drop_question_generation

• Dataset: task026_drop_question_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 82 tokensmean: 219.39 tokensmax: 256 tokens	min: 57 tokensmean: 222.63 tokensmax: 256 tokens	min: 96 tokensmean: 232.08 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task162_count_words_starting_with_letter

• Dataset: task162_count_words_starting_with_letter
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 28 tokensmean: 32.21 tokensmax: 56 tokens	min: 28 tokensmean: 31.77 tokensmax: 45 tokens	min: 28 tokensmean: 31.64 tokensmax: 46 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task079_conala_concat_strings

• Dataset: task079_conala_concat_strings
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 11 tokensmean: 39.62 tokensmax: 76 tokens	min: 11 tokensmean: 34.2 tokensmax: 80 tokens	min: 11 tokensmean: 33.53 tokensmax: 76 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task610_conllpp_ner

• Dataset: task610_conllpp_ner
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 4 tokensmean: 19.55 tokensmax: 62 tokens	min: 4 tokensmean: 20.27 tokensmax: 62 tokens	min: 4 tokensmean: 14.12 tokensmax: 54 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task046_miscellaneous_question_typing

• Dataset: task046_miscellaneous_question_typing
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 16 tokensmean: 25.41 tokensmax: 70 tokens	min: 16 tokensmean: 24.94 tokensmax: 70 tokens	min: 16 tokensmean: 25.13 tokensmax: 57 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task197_mnli_domain_answer_generation

• Dataset: task197_mnli_domain_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 15 tokensmean: 44.09 tokensmax: 197 tokens	min: 12 tokensmean: 44.97 tokensmax: 211 tokens	min: 11 tokensmean: 39.22 tokensmax: 115 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1325_qa_zre_question_generation_on_subject_relation

• Dataset: task1325_qa_zre_question_generation_on_subject_relation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 18 tokensmean: 51.02 tokensmax: 256 tokens	min: 20 tokensmean: 49.57 tokensmax: 180 tokens	min: 22 tokensmean: 54.59 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task430_senteval_subject_count

• Dataset: task430_senteval_subject_count
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 7 tokensmean: 17.14 tokensmax: 35 tokens	min: 7 tokensmean: 15.31 tokensmax: 34 tokens	min: 7 tokensmean: 16.13 tokensmax: 34 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task672_nummersense

• Dataset: task672_nummersense
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 7 tokensmean: 15.72 tokensmax: 30 tokens	min: 7 tokensmean: 15.33 tokensmax: 27 tokens	min: 7 tokensmean: 15.21 tokensmax: 30 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task402_grailqa_paraphrase_generation

• Dataset: task402_grailqa_paraphrase_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 23 tokensmean: 127.55 tokensmax: 256 tokens	min: 24 tokensmean: 139.34 tokensmax: 256 tokens	min: 22 tokensmean: 133.69 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task904_hate_speech_offensive_classification

• Dataset: task904_hate_speech_offensive_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 8 tokensmean: 35.03 tokensmax: 157 tokens	min: 8 tokensmean: 34.67 tokensmax: 256 tokens	min: 5 tokensmean: 27.84 tokensmax: 148 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task192_hotpotqa_sentence_generation

• Dataset: task192_hotpotqa_sentence_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 37 tokensmean: 125.55 tokensmax: 256 tokens	min: 35 tokensmean: 123.85 tokensmax: 256 tokens	min: 33 tokensmean: 134.16 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task069_abductivenli_classification

• Dataset: task069_abductivenli_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 33 tokensmean: 52.09 tokensmax: 86 tokens	min: 33 tokensmean: 52.16 tokensmax: 95 tokens	min: 33 tokensmean: 51.84 tokensmax: 95 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task574_air_dialogue_sentence_generation

• Dataset: task574_air_dialogue_sentence_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 54 tokensmean: 143.98 tokensmax: 256 tokens	min: 57 tokensmean: 143.52 tokensmax: 256 tokens	min: 66 tokensmean: 147.45 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task187_snli_entailment_to_contradiction_text_modification

• Dataset: task187_snli_entailment_to_contradiction_text_modification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 16 tokensmean: 30.23 tokensmax: 69 tokens	min: 16 tokensmean: 29.82 tokensmax: 104 tokens	min: 17 tokensmean: 29.44 tokensmax: 71 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task749_glucose_reverse_cause_emotion_detection

• Dataset: task749_glucose_reverse_cause_emotion_detection
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 38 tokensmean: 67.61 tokensmax: 106 tokens	min: 37 tokensmean: 67.14 tokensmax: 104 tokens	min: 39 tokensmean: 68.46 tokensmax: 107 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1552_scitail_question_generation

• Dataset: task1552_scitail_question_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 7 tokensmean: 18.37 tokensmax: 53 tokens	min: 7 tokensmean: 17.55 tokensmax: 46 tokens	min: 7 tokensmean: 15.88 tokensmax: 54 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task750_aqua_multiple_choice_answering

• Dataset: task750_aqua_multiple_choice_answering
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 33 tokensmean: 69.62 tokensmax: 194 tokens	min: 32 tokensmean: 67.98 tokensmax: 194 tokens	min: 28 tokensmean: 67.81 tokensmax: 165 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task327_jigsaw_classification_toxic

• Dataset: task327_jigsaw_classification_toxic
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 5 tokensmean: 36.8 tokensmax: 234 tokens	min: 5 tokensmean: 40.85 tokensmax: 256 tokens	min: 5 tokensmean: 45.53 tokensmax: 244 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1502_hatexplain_classification

• Dataset: task1502_hatexplain_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 5 tokensmean: 28.69 tokensmax: 73 tokens	min: 5 tokensmean: 26.7 tokensmax: 110 tokens	min: 5 tokensmean: 26.92 tokensmax: 90 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task328_jigsaw_classification_insult

• Dataset: task328_jigsaw_classification_insult
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 5 tokensmean: 51.02 tokensmax: 247 tokens	min: 5 tokensmean: 60.56 tokensmax: 256 tokens	min: 5 tokensmean: 64.19 tokensmax: 249 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task304_numeric_fused_head_resolution

• Dataset: task304_numeric_fused_head_resolution
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 15 tokensmean: 120.75 tokensmax: 256 tokens	min: 12 tokensmean: 122.1 tokensmax: 256 tokens	min: 11 tokensmean: 134.06 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1293_kilt_tasks_hotpotqa_question_answering

• Dataset: task1293_kilt_tasks_hotpotqa_question_answering
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 10 tokensmean: 24.78 tokensmax: 114 tokens	min: 9 tokensmean: 24.2 tokensmax: 114 tokens	min: 8 tokensmean: 23.85 tokensmax: 84 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task216_rocstories_correct_answer_generation

• Dataset: task216_rocstories_correct_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 39 tokensmean: 59.5 tokensmax: 83 tokens	min: 36 tokensmean: 58.38 tokensmax: 92 tokens	min: 39 tokensmean: 58.22 tokensmax: 95 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1326_qa_zre_question_generation_from_answer

• Dataset: task1326_qa_zre_question_generation_from_answer
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 17 tokensmean: 46.37 tokensmax: 256 tokens	min: 14 tokensmean: 45.05 tokensmax: 256 tokens	min: 18 tokensmean: 49.47 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1338_peixian_equity_evaluation_corpus_sentiment_classifier

• Dataset: task1338_peixian_equity_evaluation_corpus_sentiment_classifier
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 6 tokensmean: 9.68 tokensmax: 16 tokens	min: 6 tokensmean: 9.71 tokensmax: 16 tokens	min: 6 tokensmean: 9.57 tokensmax: 17 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1729_personachat_generate_next

• Dataset: task1729_personachat_generate_next
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 44 tokensmean: 146.46 tokensmax: 256 tokens	min: 43 tokensmean: 142.09 tokensmax: 256 tokens	min: 50 tokensmean: 144.22 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1202_atomic_classification_xneed

• Dataset: task1202_atomic_classification_xneed
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 14 tokensmean: 19.55 tokensmax: 32 tokens	min: 14 tokensmean: 19.39 tokensmax: 31 tokens	min: 14 tokensmean: 19.22 tokensmax: 28 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task400_paws_paraphrase_classification

• Dataset: task400_paws_paraphrase_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 19 tokensmean: 52.28 tokensmax: 97 tokens	min: 18 tokensmean: 51.88 tokensmax: 98 tokens	min: 19 tokensmean: 53.03 tokensmax: 97 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task502_scruples_anecdotes_whoiswrong_verification

• Dataset: task502_scruples_anecdotes_whoiswrong_verification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 12 tokensmean: 229.76 tokensmax: 256 tokens	min: 12 tokensmean: 236.43 tokensmax: 256 tokens	min: 23 tokensmean: 235.02 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task088_identify_typo_verification

• Dataset: task088_identify_typo_verification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 11 tokensmean: 15.08 tokensmax: 48 tokens	min: 10 tokensmean: 15.05 tokensmax: 47 tokens	min: 10 tokensmean: 15.39 tokensmax: 47 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task221_rocstories_two_choice_classification

• Dataset: task221_rocstories_two_choice_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 47 tokensmean: 72.64 tokensmax: 108 tokens	min: 48 tokensmean: 72.66 tokensmax: 109 tokens	min: 46 tokensmean: 73.26 tokensmax: 108 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task200_mnli_entailment_classification

• Dataset: task200_mnli_entailment_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 24 tokensmean: 72.63 tokensmax: 198 tokens	min: 23 tokensmean: 72.69 tokensmax: 224 tokens	min: 23 tokensmean: 73.44 tokensmax: 226 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task074_squad1.1_question_generation

• Dataset: task074_squad1.1_question_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 30 tokensmean: 150.23 tokensmax: 256 tokens	min: 33 tokensmean: 160.48 tokensmax: 256 tokens	min: 38 tokensmean: 164.59 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task581_socialiqa_question_generation

• Dataset: task581_socialiqa_question_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 12 tokensmean: 26.52 tokensmax: 69 tokens	min: 14 tokensmean: 25.55 tokensmax: 48 tokens	min: 15 tokensmean: 25.85 tokensmax: 48 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1186_nne_hrngo_classification

• Dataset: task1186_nne_hrngo_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 19 tokensmean: 33.82 tokensmax: 79 tokens	min: 19 tokensmean: 33.49 tokensmax: 74 tokens	min: 20 tokensmean: 33.34 tokensmax: 77 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task898_freebase_qa_answer_generation

• Dataset: task898_freebase_qa_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 8 tokensmean: 19.18 tokensmax: 125 tokens	min: 8 tokensmean: 17.45 tokensmax: 49 tokens	min: 8 tokensmean: 17.48 tokensmax: 79 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1408_dart_similarity_classification

• Dataset: task1408_dart_similarity_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 22 tokensmean: 59.48 tokensmax: 147 tokens	min: 22 tokensmean: 61.95 tokensmax: 154 tokens	min: 20 tokensmean: 48.32 tokensmax: 124 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task168_strategyqa_question_decomposition

• Dataset: task168_strategyqa_question_decomposition
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 42 tokensmean: 81.83 tokensmax: 181 tokens	min: 42 tokensmean: 79.75 tokensmax: 179 tokens	min: 42 tokensmean: 77.43 tokensmax: 166 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1357_xlsum_summary_generation

• Dataset: task1357_xlsum_summary_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 67 tokensmean: 242.04 tokensmax: 256 tokens	min: 76 tokensmean: 243.28 tokensmax: 256 tokens	min: 67 tokensmean: 247.07 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task390_torque_text_span_selection

• Dataset: task390_torque_text_span_selection
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 47 tokensmean: 110.04 tokensmax: 196 tokens	min: 42 tokensmean: 110.49 tokensmax: 195 tokens	min: 48 tokensmean: 110.67 tokensmax: 196 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task165_mcscript_question_answering_commonsense

• Dataset: task165_mcscript_question_answering_commonsense
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 147 tokensmean: 198.24 tokensmax: 256 tokens	min: 145 tokensmean: 196.67 tokensmax: 256 tokens	min: 147 tokensmean: 198.41 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1533_daily_dialog_formal_classification

• Dataset: task1533_daily_dialog_formal_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 13 tokensmean: 129.55 tokensmax: 256 tokens	min: 15 tokensmean: 136.75 tokensmax: 256 tokens	min: 17 tokensmean: 137.33 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task002_quoref_answer_generation

• Dataset: task002_quoref_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 214 tokensmean: 255.54 tokensmax: 256 tokens	min: 214 tokensmean: 255.53 tokensmax: 256 tokens	min: 224 tokensmean: 255.61 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1297_qasc_question_answering

• Dataset: task1297_qasc_question_answering
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 61 tokensmean: 84.69 tokensmax: 134 tokens	min: 59 tokensmean: 85.39 tokensmax: 130 tokens	min: 58 tokensmean: 84.83 tokensmax: 125 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task305_jeopardy_answer_generation_normal

• Dataset: task305_jeopardy_answer_generation_normal
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 9 tokensmean: 27.72 tokensmax: 59 tokens	min: 9 tokensmean: 27.43 tokensmax: 45 tokens	min: 11 tokensmean: 27.37 tokensmax: 46 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task029_winogrande_full_object

• Dataset: task029_winogrande_full_object
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 7 tokensmean: 7.37 tokensmax: 12 tokens	min: 7 tokensmean: 7.32 tokensmax: 11 tokens	min: 7 tokensmean: 7.24 tokensmax: 10 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1327_qa_zre_answer_generation_from_question

• Dataset: task1327_qa_zre_answer_generation_from_question
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 24 tokensmean: 55.0 tokensmax: 256 tokens	min: 23 tokensmean: 52.2 tokensmax: 256 tokens	min: 27 tokensmean: 55.59 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task326_jigsaw_classification_obscene

• Dataset: task326_jigsaw_classification_obscene
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 5 tokensmean: 65.45 tokensmax: 256 tokens	min: 5 tokensmean: 77.38 tokensmax: 256 tokens	min: 5 tokensmean: 74.07 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1542_every_ith_element_from_starting

• Dataset: task1542_every_ith_element_from_starting
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 13 tokensmean: 125.21 tokensmax: 245 tokens	min: 13 tokensmean: 123.54 tokensmax: 244 tokens	min: 13 tokensmean: 120.48 tokensmax: 238 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task570_recipe_nlg_ner_generation

• Dataset: task570_recipe_nlg_ner_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 9 tokensmean: 74.07 tokensmax: 250 tokens	min: 5 tokensmean: 73.6 tokensmax: 256 tokens	min: 8 tokensmean: 76.08 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1409_dart_text_generation

• Dataset: task1409_dart_text_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 18 tokensmean: 67.5 tokensmax: 174 tokens	min: 18 tokensmean: 72.52 tokensmax: 170 tokens	min: 17 tokensmean: 67.55 tokensmax: 164 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task401_numeric_fused_head_reference

• Dataset: task401_numeric_fused_head_reference
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 16 tokensmean: 109.08 tokensmax: 256 tokens	min: 16 tokensmean: 116.35 tokensmax: 256 tokens	min: 18 tokensmean: 119.65 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task846_pubmedqa_classification

• Dataset: task846_pubmedqa_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 32 tokensmean: 85.83 tokensmax: 246 tokens	min: 33 tokensmean: 85.03 tokensmax: 225 tokens	min: 28 tokensmean: 93.96 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1712_poki_classification

• Dataset: task1712_poki_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 6 tokensmean: 52.73 tokensmax: 256 tokens	min: 7 tokensmean: 55.65 tokensmax: 256 tokens	min: 7 tokensmean: 63.01 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task344_hybridqa_answer_generation

• Dataset: task344_hybridqa_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 9 tokensmean: 22.15 tokensmax: 50 tokens	min: 8 tokensmean: 22.07 tokensmax: 58 tokens	min: 7 tokensmean: 22.07 tokensmax: 55 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task875_emotion_classification

• Dataset: task875_emotion_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 4 tokensmean: 23.03 tokensmax: 75 tokens	min: 4 tokensmean: 18.42 tokensmax: 63 tokens	min: 5 tokensmean: 20.36 tokensmax: 68 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1214_atomic_classification_xwant

• Dataset: task1214_atomic_classification_xwant
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 14 tokensmean: 19.66 tokensmax: 32 tokens	min: 14 tokensmean: 19.39 tokensmax: 29 tokens	min: 14 tokensmean: 19.57 tokensmax: 31 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task106_scruples_ethical_judgment

• Dataset: task106_scruples_ethical_judgment
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 12 tokensmean: 29.85 tokensmax: 70 tokens	min: 14 tokensmean: 28.96 tokensmax: 86 tokens	min: 14 tokensmean: 28.77 tokensmax: 58 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task238_iirc_answer_from_passage_answer_generation

• Dataset: task238_iirc_answer_from_passage_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 138 tokensmean: 242.59 tokensmax: 256 tokens	min: 165 tokensmean: 242.86 tokensmax: 256 tokens	min: 173 tokensmean: 243.06 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1391_winogrande_easy_answer_generation

• Dataset: task1391_winogrande_easy_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 26 tokensmean: 31.69 tokensmax: 54 tokens	min: 26 tokensmean: 31.28 tokensmax: 48 tokens	min: 25 tokensmean: 31.16 tokensmax: 49 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task195_sentiment140_classification

• Dataset: task195_sentiment140_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 4 tokensmean: 22.62 tokensmax: 118 tokens	min: 4 tokensmean: 18.82 tokensmax: 79 tokens	min: 5 tokensmean: 21.32 tokensmax: 51 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task163_count_words_ending_with_letter

• Dataset: task163_count_words_ending_with_letter
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 28 tokensmean: 32.06 tokensmax: 54 tokens	min: 28 tokensmean: 31.69 tokensmax: 57 tokens	min: 28 tokensmean: 31.58 tokensmax: 43 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task579_socialiqa_classification

• Dataset: task579_socialiqa_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 39 tokensmean: 54.2 tokensmax: 132 tokens	min: 36 tokensmean: 53.61 tokensmax: 103 tokens	min: 40 tokensmean: 54.16 tokensmax: 84 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task569_recipe_nlg_text_generation

• Dataset: task569_recipe_nlg_text_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 25 tokensmean: 193.73 tokensmax: 256 tokens	min: 55 tokensmean: 193.64 tokensmax: 256 tokens	min: 37 tokensmean: 198.12 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1602_webquestion_question_genreation

• Dataset: task1602_webquestion_question_genreation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 12 tokensmean: 23.64 tokensmax: 112 tokens	min: 12 tokensmean: 24.12 tokensmax: 112 tokens	min: 12 tokensmean: 22.49 tokensmax: 120 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task747_glucose_cause_emotion_detection

• Dataset: task747_glucose_cause_emotion_detection
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 35 tokensmean: 68.15 tokensmax: 112 tokens	min: 36 tokensmean: 68.3 tokensmax: 108 tokens	min: 36 tokensmean: 68.79 tokensmax: 99 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task219_rocstories_title_answer_generation

• Dataset: task219_rocstories_title_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 42 tokensmean: 67.71 tokensmax: 97 tokens	min: 45 tokensmean: 66.7 tokensmax: 97 tokens	min: 41 tokensmean: 66.92 tokensmax: 96 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task178_quartz_question_answering

• Dataset: task178_quartz_question_answering
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 28 tokensmean: 57.78 tokensmax: 110 tokens	min: 28 tokensmean: 57.44 tokensmax: 111 tokens	min: 28 tokensmean: 56.86 tokensmax: 102 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task103_facts2story_long_text_generation

• Dataset: task103_facts2story_long_text_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 52 tokensmean: 80.49 tokensmax: 143 tokens	min: 51 tokensmean: 82.22 tokensmax: 157 tokens	min: 49 tokensmean: 78.96 tokensmax: 145 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task301_record_question_generation

• Dataset: task301_record_question_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 140 tokensmean: 210.71 tokensmax: 256 tokens	min: 139 tokensmean: 209.62 tokensmax: 256 tokens	min: 143 tokensmean: 208.74 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1369_healthfact_sentence_generation

• Dataset: task1369_healthfact_sentence_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 110 tokensmean: 243.25 tokensmax: 256 tokens	min: 101 tokensmean: 243.17 tokensmax: 256 tokens	min: 113 tokensmean: 251.67 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task515_senteval_odd_word_out

• Dataset: task515_senteval_odd_word_out
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 7 tokensmean: 19.72 tokensmax: 36 tokens	min: 7 tokensmean: 19.13 tokensmax: 38 tokens	min: 7 tokensmean: 19.0 tokensmax: 35 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task496_semeval_answer_generation

• Dataset: task496_semeval_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 4 tokensmean: 28.11 tokensmax: 46 tokens	min: 18 tokensmean: 27.8 tokensmax: 45 tokens	min: 19 tokensmean: 27.68 tokensmax: 45 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1658_billsum_summarization

• Dataset: task1658_billsum_summarization
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 256 tokensmean: 256.0 tokensmax: 256 tokens	min: 256 tokensmean: 256.0 tokensmax: 256 tokens	min: 256 tokensmean: 256.0 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1204_atomic_classification_hinderedby

• Dataset: task1204_atomic_classification_hinderedby
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 14 tokensmean: 22.1 tokensmax: 35 tokens	min: 14 tokensmean: 22.07 tokensmax: 34 tokens	min: 14 tokensmean: 21.5 tokensmax: 38 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1392_superglue_multirc_answer_verification

• Dataset: task1392_superglue_multirc_answer_verification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 128 tokensmean: 241.77 tokensmax: 256 tokens	min: 127 tokensmean: 241.97 tokensmax: 256 tokens	min: 136 tokensmean: 242.04 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task306_jeopardy_answer_generation_double

• Dataset: task306_jeopardy_answer_generation_double
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 10 tokensmean: 27.79 tokensmax: 47 tokens	min: 10 tokensmean: 27.16 tokensmax: 46 tokens	min: 11 tokensmean: 27.61 tokensmax: 47 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1286_openbookqa_question_answering

• Dataset: task1286_openbookqa_question_answering
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 22 tokensmean: 39.54 tokensmax: 85 tokens	min: 23 tokensmean: 38.94 tokensmax: 96 tokens	min: 22 tokensmean: 38.26 tokensmax: 89 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task159_check_frequency_of_words_in_sentence_pair

• Dataset: task159_check_frequency_of_words_in_sentence_pair
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 44 tokensmean: 50.37 tokensmax: 67 tokens	min: 44 tokensmean: 50.35 tokensmax: 67 tokens	min: 44 tokensmean: 50.61 tokensmax: 66 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task151_tomqa_find_location_easy_clean

• Dataset: task151_tomqa_find_location_easy_clean
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 37 tokensmean: 50.73 tokensmax: 79 tokens	min: 37 tokensmean: 50.28 tokensmax: 74 tokens	min: 37 tokensmean: 50.52 tokensmax: 74 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task323_jigsaw_classification_sexually_explicit

• Dataset: task323_jigsaw_classification_sexually_explicit
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 6 tokensmean: 66.26 tokensmax: 248 tokens	min: 5 tokensmean: 76.73 tokensmax: 248 tokens	min: 6 tokensmean: 75.5 tokensmax: 251 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task037_qasc_generate_related_fact

• Dataset: task037_qasc_generate_related_fact
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 13 tokensmean: 22.04 tokensmax: 50 tokens	min: 13 tokensmean: 22.03 tokensmax: 42 tokens	min: 13 tokensmean: 21.9 tokensmax: 40 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task027_drop_answer_type_generation

• Dataset: task027_drop_answer_type_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 87 tokensmean: 229.02 tokensmax: 256 tokens	min: 74 tokensmean: 230.67 tokensmax: 256 tokens	min: 71 tokensmean: 232.43 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1596_event2mind_text_generation_2

• Dataset: task1596_event2mind_text_generation_2
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 6 tokensmean: 9.97 tokensmax: 18 tokens	min: 6 tokensmean: 10.03 tokensmax: 19 tokens	min: 6 tokensmean: 10.06 tokensmax: 18 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task141_odd-man-out_classification_category

• Dataset: task141_odd-man-out_classification_category
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 16 tokensmean: 18.45 tokensmax: 28 tokens	min: 16 tokensmean: 18.38 tokensmax: 26 tokens	min: 16 tokensmean: 18.46 tokensmax: 25 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task194_duorc_answer_generation

• Dataset: task194_duorc_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 149 tokensmean: 251.76 tokensmax: 256 tokens	min: 147 tokensmean: 252.05 tokensmax: 256 tokens	min: 148 tokensmean: 251.76 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task679_hope_edi_english_text_classification

• Dataset: task679_hope_edi_english_text_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 5 tokensmean: 27.77 tokensmax: 199 tokens	min: 4 tokensmean: 27.23 tokensmax: 205 tokens	min: 5 tokensmean: 29.87 tokensmax: 194 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task246_dream_question_generation

• Dataset: task246_dream_question_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 17 tokensmean: 80.33 tokensmax: 256 tokens	min: 14 tokensmean: 80.74 tokensmax: 256 tokens	min: 15 tokensmean: 87.22 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1195_disflqa_disfluent_to_fluent_conversion

• Dataset: task1195_disflqa_disfluent_to_fluent_conversion
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 9 tokensmean: 19.76 tokensmax: 41 tokens	min: 9 tokensmean: 19.88 tokensmax: 40 tokens	min: 2 tokensmean: 20.2 tokensmax: 44 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task065_timetravel_consistent_sentence_classification

• Dataset: task065_timetravel_consistent_sentence_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 55 tokensmean: 79.4 tokensmax: 117 tokens	min: 51 tokensmean: 79.17 tokensmax: 110 tokens	min: 53 tokensmean: 80.1 tokensmax: 110 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task351_winomt_classification_gender_identifiability_anti

• Dataset: task351_winomt_classification_gender_identifiability_anti
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 16 tokensmean: 21.76 tokensmax: 30 tokens	min: 16 tokensmean: 21.66 tokensmax: 31 tokens	min: 16 tokensmean: 21.78 tokensmax: 30 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task580_socialiqa_answer_generation

• Dataset: task580_socialiqa_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 35 tokensmean: 52.41 tokensmax: 107 tokens	min: 35 tokensmean: 51.02 tokensmax: 86 tokens	min: 35 tokensmean: 50.98 tokensmax: 87 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task583_udeps_eng_coarse_pos_tagging

• Dataset: task583_udeps_eng_coarse_pos_tagging
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 12 tokensmean: 41.24 tokensmax: 185 tokens	min: 12 tokensmean: 40.21 tokensmax: 185 tokens	min: 12 tokensmean: 40.93 tokensmax: 185 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task202_mnli_contradiction_classification

• Dataset: task202_mnli_contradiction_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 24 tokensmean: 73.7 tokensmax: 190 tokens	min: 28 tokensmean: 76.06 tokensmax: 256 tokens	min: 23 tokensmean: 74.56 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task222_rocstories_two_chioce_slotting_classification

• Dataset: task222_rocstories_two_chioce_slotting_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 48 tokensmean: 73.06 tokensmax: 105 tokens	min: 48 tokensmean: 73.24 tokensmax: 100 tokens	min: 49 tokensmean: 71.71 tokensmax: 102 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task498_scruples_anecdotes_whoiswrong_classification

• Dataset: task498_scruples_anecdotes_whoiswrong_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 24 tokensmean: 225.8 tokensmax: 256 tokens	min: 47 tokensmean: 232.86 tokensmax: 256 tokens	min: 47 tokensmean: 231.22 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task067_abductivenli_answer_generation

• Dataset: task067_abductivenli_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 14 tokensmean: 26.75 tokensmax: 40 tokens	min: 14 tokensmean: 26.13 tokensmax: 42 tokens	min: 15 tokensmean: 26.34 tokensmax: 38 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task616_cola_classification

• Dataset: task616_cola_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 5 tokensmean: 12.16 tokensmax: 33 tokens	min: 5 tokensmean: 12.05 tokensmax: 33 tokens	min: 6 tokensmean: 11.96 tokensmax: 29 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task286_olid_offense_judgment

• Dataset: task286_olid_offense_judgment
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 5 tokensmean: 32.85 tokensmax: 145 tokens	min: 5 tokensmean: 30.81 tokensmax: 171 tokens	min: 5 tokensmean: 30.26 tokensmax: 169 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task188_snli_neutral_to_entailment_text_modification

• Dataset: task188_snli_neutral_to_entailment_text_modification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 18 tokensmean: 31.55 tokensmax: 79 tokens	min: 18 tokensmean: 31.31 tokensmax: 84 tokens	min: 18 tokensmean: 32.91 tokensmax: 84 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task223_quartz_explanation_generation

• Dataset: task223_quartz_explanation_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 12 tokensmean: 31.46 tokensmax: 68 tokens	min: 13 tokensmean: 31.8 tokensmax: 68 tokens	min: 13 tokensmean: 28.95 tokensmax: 96 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task820_protoqa_answer_generation

• Dataset: task820_protoqa_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 6 tokensmean: 14.87 tokensmax: 29 tokens	min: 7 tokensmean: 14.54 tokensmax: 27 tokens	min: 6 tokensmean: 14.22 tokensmax: 29 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task196_sentiment140_answer_generation

• Dataset: task196_sentiment140_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 17 tokensmean: 36.26 tokensmax: 72 tokens	min: 17 tokensmean: 32.85 tokensmax: 61 tokens	min: 17 tokensmean: 36.27 tokensmax: 72 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1678_mathqa_answer_selection

• Dataset: task1678_mathqa_answer_selection
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 33 tokensmean: 70.42 tokensmax: 177 tokens	min: 30 tokensmean: 68.99 tokensmax: 146 tokens	min: 33 tokensmean: 69.69 tokensmax: 160 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task349_squad2.0_answerable_unanswerable_question_classification

• Dataset: task349_squad2.0_answerable_unanswerable_question_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 53 tokensmean: 176.83 tokensmax: 256 tokens	min: 57 tokensmean: 177.07 tokensmax: 256 tokens	min: 53 tokensmean: 176.78 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task154_tomqa_find_location_hard_noise

• Dataset: task154_tomqa_find_location_hard_noise
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 129 tokensmean: 176.29 tokensmax: 253 tokens	min: 126 tokensmean: 176.3 tokensmax: 249 tokens	min: 128 tokensmean: 178.24 tokensmax: 254 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task333_hateeval_classification_hate_en

• Dataset: task333_hateeval_classification_hate_en
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 8 tokensmean: 38.33 tokensmax: 117 tokens	min: 7 tokensmean: 36.79 tokensmax: 109 tokens	min: 7 tokensmean: 36.61 tokensmax: 113 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task235_iirc_question_from_subtext_answer_generation

• Dataset: task235_iirc_question_from_subtext_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 14 tokensmean: 52.9 tokensmax: 256 tokens	min: 12 tokensmean: 50.44 tokensmax: 256 tokens	min: 12 tokensmean: 55.89 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1554_scitail_classification

• Dataset: task1554_scitail_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 7 tokensmean: 16.8 tokensmax: 38 tokens	min: 7 tokensmean: 25.75 tokensmax: 68 tokens	min: 7 tokensmean: 24.34 tokensmax: 59 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task210_logic2text_structured_text_generation

• Dataset: task210_logic2text_structured_text_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 13 tokensmean: 31.88 tokensmax: 101 tokens	min: 13 tokensmean: 30.88 tokensmax: 94 tokens	min: 12 tokensmean: 32.75 tokensmax: 89 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task035_winogrande_question_modification_person

• Dataset: task035_winogrande_question_modification_person
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 31 tokensmean: 36.16 tokensmax: 50 tokens	min: 31 tokensmean: 35.75 tokensmax: 55 tokens	min: 31 tokensmean: 35.41 tokensmax: 48 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task230_iirc_passage_classification

• Dataset: task230_iirc_passage_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 256 tokensmean: 256.0 tokensmax: 256 tokens	min: 256 tokensmean: 256.0 tokensmax: 256 tokens	min: 256 tokensmean: 256.0 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1356_xlsum_title_generation

• Dataset: task1356_xlsum_title_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 59 tokensmean: 239.92 tokensmax: 256 tokens	min: 58 tokensmean: 240.94 tokensmax: 256 tokens	min: 64 tokensmean: 248.75 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1726_mathqa_correct_answer_generation

• Dataset: task1726_mathqa_correct_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 10 tokensmean: 43.81 tokensmax: 156 tokens	min: 12 tokensmean: 42.63 tokensmax: 129 tokens	min: 11 tokensmean: 42.82 tokensmax: 133 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task302_record_classification

• Dataset: task302_record_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 194 tokensmean: 253.35 tokensmax: 256 tokens	min: 198 tokensmean: 252.85 tokensmax: 256 tokens	min: 195 tokensmean: 252.78 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task380_boolq_yes_no_question

• Dataset: task380_boolq_yes_no_question
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 26 tokensmean: 134.17 tokensmax: 256 tokens	min: 26 tokensmean: 138.56 tokensmax: 256 tokens	min: 27 tokensmean: 138.25 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task212_logic2text_classification

• Dataset: task212_logic2text_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 14 tokensmean: 33.28 tokensmax: 146 tokens	min: 14 tokensmean: 32.14 tokensmax: 146 tokens	min: 14 tokensmean: 32.96 tokensmax: 127 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task748_glucose_reverse_cause_event_detection

• Dataset: task748_glucose_reverse_cause_event_detection
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 35 tokensmean: 67.63 tokensmax: 105 tokens	min: 38 tokensmean: 66.95 tokensmax: 106 tokens	min: 39 tokensmean: 68.94 tokensmax: 105 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task834_mathdataset_classification

• Dataset: task834_mathdataset_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 6 tokensmean: 27.7 tokensmax: 83 tokens	min: 6 tokensmean: 27.88 tokensmax: 83 tokens	min: 5 tokensmean: 26.97 tokensmax: 93 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task350_winomt_classification_gender_identifiability_pro

• Dataset: task350_winomt_classification_gender_identifiability_pro
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 16 tokensmean: 21.79 tokensmax: 30 tokens	min: 16 tokensmean: 21.63 tokensmax: 30 tokens	min: 16 tokensmean: 21.79 tokensmax: 30 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task191_hotpotqa_question_generation

• Dataset: task191_hotpotqa_question_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 198 tokensmean: 255.88 tokensmax: 256 tokens	min: 238 tokensmean: 255.93 tokensmax: 256 tokens	min: 255 tokensmean: 256.0 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task236_iirc_question_from_passage_answer_generation

• Dataset: task236_iirc_question_from_passage_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 135 tokensmean: 238.3 tokensmax: 256 tokens	min: 155 tokensmean: 237.61 tokensmax: 256 tokens	min: 154 tokensmean: 239.64 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task217_rocstories_ordering_answer_generation

• Dataset: task217_rocstories_ordering_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 45 tokensmean: 72.32 tokensmax: 107 tokens	min: 48 tokensmean: 72.29 tokensmax: 107 tokens	min: 48 tokensmean: 70.87 tokensmax: 105 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task568_circa_question_generation

• Dataset: task568_circa_question_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 4 tokensmean: 9.6 tokensmax: 25 tokens	min: 4 tokensmean: 9.46 tokensmax: 20 tokens	min: 4 tokensmean: 8.93 tokensmax: 20 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task614_glucose_cause_event_detection

• Dataset: task614_glucose_cause_event_detection
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 39 tokensmean: 67.66 tokensmax: 102 tokens	min: 39 tokensmean: 67.16 tokensmax: 106 tokens	min: 38 tokensmean: 68.48 tokensmax: 103 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task361_spolin_yesand_prompt_response_classification

• Dataset: task361_spolin_yesand_prompt_response_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 18 tokensmean: 47.01 tokensmax: 137 tokens	min: 17 tokensmean: 46.18 tokensmax: 119 tokens	min: 17 tokensmean: 47.2 tokensmax: 128 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task421_persent_sentence_sentiment_classification

• Dataset: task421_persent_sentence_sentiment_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 22 tokensmean: 67.77 tokensmax: 256 tokens	min: 22 tokensmean: 71.21 tokensmax: 256 tokens	min: 19 tokensmean: 72.24 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task203_mnli_sentence_generation

• Dataset: task203_mnli_sentence_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 14 tokensmean: 38.73 tokensmax: 175 tokens	min: 14 tokensmean: 35.74 tokensmax: 175 tokens	min: 13 tokensmean: 34.18 tokensmax: 170 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task420_persent_document_sentiment_classification

• Dataset: task420_persent_document_sentiment_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 22 tokensmean: 224.14 tokensmax: 256 tokens	min: 22 tokensmean: 233.63 tokensmax: 256 tokens	min: 22 tokensmean: 227.59 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task153_tomqa_find_location_hard_clean

• Dataset: task153_tomqa_find_location_hard_clean
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 39 tokensmean: 160.13 tokensmax: 256 tokens	min: 39 tokensmean: 159.86 tokensmax: 256 tokens	min: 39 tokensmean: 162.75 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task346_hybridqa_classification

• Dataset: task346_hybridqa_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 18 tokensmean: 32.87 tokensmax: 68 tokens	min: 18 tokensmean: 31.92 tokensmax: 63 tokens	min: 19 tokensmean: 31.83 tokensmax: 75 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1211_atomic_classification_hassubevent

• Dataset: task1211_atomic_classification_hassubevent
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 11 tokensmean: 16.25 tokensmax: 31 tokens	min: 11 tokensmean: 16.02 tokensmax: 29 tokens	min: 11 tokensmean: 16.89 tokensmax: 29 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task360_spolin_yesand_response_generation

• Dataset: task360_spolin_yesand_response_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 7 tokensmean: 22.54 tokensmax: 89 tokens	min: 6 tokensmean: 21.16 tokensmax: 92 tokens	min: 7 tokensmean: 20.91 tokensmax: 67 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task510_reddit_tifu_title_summarization

• Dataset: task510_reddit_tifu_title_summarization
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 9 tokensmean: 217.53 tokensmax: 256 tokens	min: 20 tokensmean: 218.59 tokensmax: 256 tokens	min: 10 tokensmean: 221.41 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task511_reddit_tifu_long_text_summarization

• Dataset: task511_reddit_tifu_long_text_summarization
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 29 tokensmean: 239.72 tokensmax: 256 tokens	min: 76 tokensmean: 238.38 tokensmax: 256 tokens	min: 43 tokensmean: 245.03 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task345_hybridqa_answer_generation

• Dataset: task345_hybridqa_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 9 tokensmean: 22.14 tokensmax: 50 tokens	min: 10 tokensmean: 21.6 tokensmax: 70 tokens	min: 8 tokensmean: 20.96 tokensmax: 47 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task270_csrg_counterfactual_context_generation

• Dataset: task270_csrg_counterfactual_context_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 63 tokensmean: 100.05 tokensmax: 158 tokens	min: 63 tokensmean: 98.61 tokensmax: 142 tokens	min: 62 tokensmean: 100.35 tokensmax: 141 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task307_jeopardy_answer_generation_final

• Dataset: task307_jeopardy_answer_generation_final
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 15 tokensmean: 29.61 tokensmax: 46 tokens	min: 15 tokensmean: 29.31 tokensmax: 53 tokens	min: 15 tokensmean: 29.28 tokensmax: 43 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task001_quoref_question_generation

• Dataset: task001_quoref_question_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 201 tokensmean: 254.96 tokensmax: 256 tokens	min: 99 tokensmean: 254.28 tokensmax: 256 tokens	min: 173 tokensmean: 255.13 tokensmax: 256 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task089_swap_words_verification

• Dataset: task089_swap_words_verification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 9 tokensmean: 12.86 tokensmax: 28 tokens	min: 9 tokensmean: 12.64 tokensmax: 24 tokens	min: 9 tokensmean: 12.26 tokensmax: 22 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1196_atomic_classification_oeffect

• Dataset: task1196_atomic_classification_oeffect
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 14 tokensmean: 18.79 tokensmax: 41 tokens	min: 14 tokensmean: 18.57 tokensmax: 30 tokens	min: 14 tokensmean: 18.51 tokensmax: 29 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task080_piqa_answer_generation

• Dataset: task080_piqa_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 3 tokensmean: 10.82 tokensmax: 33 tokens	min: 3 tokensmean: 10.77 tokensmax: 24 tokens	min: 3 tokensmean: 10.03 tokensmax: 26 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1598_nyc_long_text_generation

• Dataset: task1598_nyc_long_text_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 17 tokensmean: 35.5 tokensmax: 56 tokens	min: 17 tokensmean: 35.66 tokensmax: 56 tokens	min: 20 tokensmean: 36.66 tokensmax: 55 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task240_tweetqa_question_generation

• Dataset: task240_tweetqa_question_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 27 tokensmean: 51.18 tokensmax: 94 tokens	min: 25 tokensmean: 50.72 tokensmax: 92 tokens	min: 20 tokensmean: 51.63 tokensmax: 95 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task615_moviesqa_answer_generation

• Dataset: task615_moviesqa_answer_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 6 tokensmean: 11.46 tokensmax: 23 tokens	min: 7 tokensmean: 11.44 tokensmax: 19 tokens	min: 5 tokensmean: 11.4 tokensmax: 22 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task1347_glue_sts-b_similarity_classification

• Dataset: task1347_glue_sts-b_similarity_classification
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 17 tokensmean: 31.13 tokensmax: 88 tokens	min: 16 tokensmean: 31.12 tokensmax: 92 tokens	min: 16 tokensmean: 30.85 tokensmax: 92 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task114_is_the_given_word_longest

• Dataset: task114_is_the_given_word_longest
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 25 tokensmean: 28.87 tokensmax: 68 tokens	min: 25 tokensmean: 28.46 tokensmax: 48 tokens	min: 25 tokensmean: 28.7 tokensmax: 47 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  

task292_storycommonsense_character_text_generation

• Dataset: task292_storycommonsense_character_text_generation
• Size: 1,018 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 43 tokensmean: 67.87 tokensmax: 98 tokens	min: 46 tokensmean: 67.11 tokensmax: 104 tokens	min: 43 tokensmean: 69.05 tokensmax: 96 tokens

• Samples:
• Loss: MultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }