avsolatorio/all-MiniLM-L6-v2-MEDI-MTEB-triplet-randproj-trainable-512-final

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 768-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: 768 dimensions
• 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): RandomProjection({'in_features': 384, 'out_features': 768, 'seed': 42, 'requires_grad': True})
)

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-randproj-trainable-512-final")
# Run inference
sentences = [
    'Should I stay or should I go?',
    'The aim of this study was to examine the experiences of parents encountering the critical deterioration and resuscitative care of other children in the pediatric intensive care unit where their own child was admitted.Grounded theory qualitative methodology.Pediatric intensive care unit of a pediatric tertiary care center in Montreal, Canada.Ten parents of critically ill children who witnessed resuscitative measures on another child.None.Semistructured interviews were conducted. While witnessing resuscitation, parents struggled with "Should I stay or should I go?" Their decision depended on specific contributing factors that were intrinsic to parents (curiosity or apprehension, the child\'s sake, trust or distrust) or extrinsic (limited space). These parents were not "spectators." Despite using coping strategies, the experiences were distressing in the majority of cases, although sometimes comforting. The impact on witnessing critical events had divergent effects on parental trust with healthcare professionals.',
    'Several recent studies suggest that acceleration of the head at impact during sporting activities may have a detrimental effect on cognitive function. Reducing acceleration of impact in these sports could reduce neurologic sequelae.To measure the effectiveness of a regulation football helmet to reduce acceleration of impact for both low- and moderate-force impacts.An experimental paired study design was used. Male volunteers between 16 and 30 years of age headed soccer balls traveling approximately 35 miles per hour bareheaded and with a helmet. An intraoral accelerometer worn inside a plastic mouthpiece measured acceleration of the head. The helmet also had an accelerometer placed inside the padding. For more forceful impacts, cadaver heads, both with and without helmets, were instrumented with intraoral (IO) and intracranial (IC) accelerometers and struck with a pendulum device. Simultaneous IO and IC accelerations were measured and compared between helmeted and unhelmeted cadaver heads. The main outcome was mean peak acceleration of the head and/or brain associated with low- and moderate-force impacts with and without protective headgear.Mean peak Gs, measured by the mouthpiece accelerometer, were significantly reduced when the participants heading soccer balls were wearing a helmet (7.7 Gs with vs 19.2 Gs without, p = 0.01). Wearing a helmet also significantly lowered the peak Gs measured intraorally and intracranially in cadavers subjected to moderate-force pendulum impacts: 28.7 Gs with vs 62.6 Gs without, p<0.001; and 56.4 Gs with vs 81.6 Gs without, p<0.001, respectively.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]

# 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

Metric	Value
cosine_accuracy	0.9145

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 tokens mean: 11.84 tokens max: 25 tokens	min: 110 tokens mean: 138.08 tokens max: 211 tokens	min: 111 tokens mean: 138.38 tokens max: 252 tokens

• 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: 5 tokens mean: 22.86 tokens max: 53 tokens	min: 74 tokens mean: 239.63 tokens max: 256 tokens	min: 64 tokens mean: 240.96 tokens max: 256 tokens

• 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 tokens mean: 15.31 tokens max: 48 tokens	min: 4 tokens mean: 13.8 tokens max: 38 tokens	min: 4 tokens mean: 15.7 tokens max: 68 tokens

• 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: 27 tokens mean: 202.95 tokens max: 256 tokens	min: 23 tokens mean: 205.71 tokens max: 256 tokens	min: 22 tokens mean: 204.68 tokens max: 256 tokens

• 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 tokens mean: 12.36 tokens max: 51 tokens	min: 48 tokens mean: 112.22 tokens max: 148 tokens	min: 35 tokens mean: 113.94 tokens max: 158 tokens

• 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 tokens mean: 11.84 tokens max: 24 tokens	min: 14 tokens mean: 60.08 tokens max: 144 tokens	min: 15 tokens mean: 63.21 tokens max: 165 tokens

• 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 tokens mean: 29.23 tokens max: 163 tokens	min: 28 tokens mean: 133.98 tokens max: 256 tokens	min: 31 tokens mean: 161.35 tokens max: 256 tokens

• 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 tokens mean: 8.03 tokens max: 21 tokens	min: 12 tokens mean: 44.27 tokens max: 89 tokens	min: 10 tokens mean: 36.71 tokens max: 100 tokens

• 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 tokens mean: 12.85 tokens max: 39 tokens	min: 6 tokens mean: 12.95 tokens max: 43 tokens	min: 6 tokens mean: 13.06 tokens max: 43 tokens

• 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 tokens mean: 20.78 tokens max: 63 tokens	min: 11 tokens mean: 98.02 tokens max: 256 tokens	min: 14 tokens mean: 109.02 tokens max: 256 tokens

• 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 tokens mean: 22.78 tokens max: 256 tokens	min: 15 tokens mean: 53.82 tokens max: 256 tokens	min: 17 tokens mean: 62.55 tokens max: 256 tokens

• 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: 6 tokens mean: 20.65 tokens max: 180 tokens	min: 3 tokens mean: 113.32 tokens max: 256 tokens	min: 3 tokens mean: 117.89 tokens max: 256 tokens

• 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 tokens mean: 8.57 tokens max: 20 tokens	min: 23 tokens mean: 110.88 tokens max: 174 tokens	min: 14 tokens mean: 116.58 tokens max: 192 tokens

• 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 tokens mean: 19.27 tokens max: 64 tokens	min: 18 tokens mean: 244.2 tokens max: 256 tokens	min: 56 tokens mean: 235.19 tokens max: 256 tokens

• 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: 7 tokens mean: 12.61 tokens max: 21 tokens	min: 112 tokens mean: 136.23 tokens max: 225 tokens	min: 108 tokens mean: 135.98 tokens max: 254 tokens

• 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: 16 tokens mean: 150.03 tokens max: 256 tokens	min: 20 tokens mean: 138.73 tokens max: 256 tokens	min: 22 tokens mean: 199.2 tokens max: 256 tokens

• 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 tokens mean: 9.57 tokens max: 21 tokens	min: 21 tokens mean: 103.3 tokens max: 193 tokens	min: 10 tokens mean: 117.84 tokens max: 256 tokens

• 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 tokens mean: 15.71 tokens max: 56 tokens	min: 7 tokens mean: 16.19 tokens max: 64 tokens	min: 7 tokens mean: 16.43 tokens max: 52 tokens

• 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: 9 tokens mean: 24.82 tokens max: 110 tokens	min: 35 tokens mean: 112.64 tokens max: 146 tokens	min: 31 tokens mean: 114.86 tokens max: 178 tokens

• 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 tokens mean: 12.7 tokens max: 26 tokens	min: 11 tokens mean: 12.52 tokens max: 23 tokens	min: 11 tokens mean: 12.23 tokens max: 19 tokens

• 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 tokens mean: 210.02 tokens max: 256 tokens	min: 117 tokens mean: 209.38 tokens max: 256 tokens	min: 119 tokens mean: 211.18 tokens max: 256 tokens

• 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 tokens mean: 209.41 tokens max: 256 tokens	min: 49 tokens mean: 203.91 tokens max: 256 tokens	min: 46 tokens mean: 209.41 tokens max: 256 tokens

• 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 tokens mean: 41.18 tokens max: 164 tokens	min: 13 tokens mean: 40.19 tokens max: 198 tokens	min: 13 tokens mean: 31.8 tokens max: 135 tokens

• 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 tokens mean: 27.83 tokens max: 48 tokens	min: 19 tokens mean: 27.23 tokens max: 44 tokens	min: 20 tokens mean: 27.51 tokens max: 47 tokens

• 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 tokens mean: 29.81 tokens max: 72 tokens	min: 16 tokens mean: 28.92 tokens max: 60 tokens	min: 17 tokens mean: 30.3 tokens max: 100 tokens

• 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 tokens mean: 18.5 tokens max: 53 tokens	min: 8 tokens mean: 16.84 tokens max: 53 tokens	min: 8 tokens mean: 16.87 tokens max: 51 tokens

• 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 tokens mean: 11.34 tokens max: 37 tokens	min: 3 tokens mean: 10.56 tokens max: 38 tokens	min: 5 tokens mean: 16.3 tokens max: 45 tokens

• 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 tokens mean: 59.36 tokens max: 256 tokens	min: 12 tokens mean: 59.64 tokens max: 256 tokens	min: 15 tokens mean: 58.78 tokens max: 256 tokens

• 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 tokens mean: 17.57 tokens max: 70 tokens	min: 7 tokens mean: 17.14 tokens max: 43 tokens	min: 6 tokens mean: 16.71 tokens max: 75 tokens

• 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 tokens mean: 57.13 tokens max: 179 tokens	min: 16 tokens mean: 59.67 tokens max: 153 tokens	min: 14 tokens mean: 60.2 tokens max: 169 tokens

• 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 tokens mean: 78.87 tokens max: 159 tokens	min: 34 tokens mean: 80.11 tokens max: 165 tokens	min: 35 tokens mean: 79.1 tokens max: 161 tokens

• 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 tokens mean: 20.4 tokens max: 88 tokens	min: 8 tokens mean: 18.23 tokens max: 62 tokens	min: 8 tokens mean: 19.02 tokens max: 69 tokens

• 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 tokens mean: 32.06 tokens max: 64 tokens	min: 17 tokens mean: 32.09 tokens max: 70 tokens	min: 17 tokens mean: 31.44 tokens max: 68 tokens

• 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 tokens mean: 53.08 tokens max: 79 tokens	min: 37 tokens mean: 52.45 tokens max: 78 tokens	min: 37 tokens mean: 52.77 tokens max: 82 tokens

• 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 tokens mean: 240.4 tokens max: 256 tokens	min: 84 tokens mean: 239.58 tokens max: 256 tokens	min: 97 tokens mean: 245.19 tokens max: 256 tokens

• 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 tokens mean: 141.18 tokens max: 256 tokens	min: 31 tokens mean: 143.01 tokens max: 256 tokens	min: 31 tokens mean: 143.2 tokens max: 256 tokens

• 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 tokens mean: 33.28 tokens max: 79 tokens	min: 10 tokens mean: 31.53 tokens max: 75 tokens	min: 13 tokens mean: 31.93 tokens max: 71 tokens

• 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 tokens mean: 42.96 tokens max: 152 tokens	min: 7 tokens mean: 46.5 tokens max: 152 tokens	min: 8 tokens mean: 42.77 tokens max: 152 tokens

• 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 tokens mean: 51.97 tokens max: 136 tokens	min: 18 tokens mean: 51.73 tokens max: 144 tokens	min: 22 tokens mean: 51.88 tokens max: 114 tokens

• 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 tokens mean: 41.88 tokens max: 116 tokens	min: 14 tokens mean: 44.35 tokens max: 133 tokens	min: 12 tokens mean: 40.06 tokens max: 141 tokens

• 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 tokens mean: 26.88 tokens max: 56 tokens	min: 16 tokens mean: 26.17 tokens max: 47 tokens	min: 16 tokens mean: 26.41 tokens max: 55 tokens

• 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 tokens mean: 28.86 tokens max: 72 tokens	min: 5 tokens mean: 24.52 tokens max: 86 tokens	min: 5 tokens mean: 28.07 tokens max: 67 tokens

• 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 tokens mean: 29.9 tokens max: 68 tokens	min: 10 tokens mean: 30.16 tokens max: 61 tokens	min: 14 tokens mean: 30.06 tokens max: 68 tokens

• 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 tokens mean: 226.47 tokens max: 256 tokens	min: 50 tokens mean: 229.89 tokens max: 256 tokens	min: 34 tokens mean: 229.29 tokens max: 256 tokens

• 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 tokens mean: 168.28 tokens max: 256 tokens	min: 45 tokens mean: 172.9 tokens max: 256 tokens	min: 46 tokens mean: 179.79 tokens max: 256 tokens

• 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 tokens mean: 242.74 tokens max: 256 tokens	min: 90 tokens mean: 246.86 tokens max: 256 tokens	min: 86 tokens mean: 244.66 tokens max: 256 tokens

• 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 tokens mean: 35.43 tokens max: 78 tokens	min: 22 tokens mean: 34.4 tokens max: 59 tokens	min: 22 tokens mean: 34.6 tokens max: 57 tokens

• 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 tokens mean: 36.84 tokens max: 90 tokens	min: 18 tokens mean: 36.35 tokens max: 80 tokens	min: 18 tokens mean: 36.61 tokens max: 92 tokens

• 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 tokens mean: 136.34 tokens max: 256 tokens	min: 15 tokens mean: 141.12 tokens max: 256 tokens	min: 17 tokens mean: 135.54 tokens max: 256 tokens

• 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 tokens mean: 56.04 tokens max: 91 tokens	min: 29 tokens mean: 56.6 tokens max: 92 tokens	min: 25 tokens mean: 56.03 tokens max: 81 tokens

• 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 tokens mean: 80.75 tokens max: 163 tokens	min: 12 tokens mean: 96.28 tokens max: 256 tokens	min: 10 tokens mean: 44.76 tokens max: 256 tokens

• 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 tokens mean: 14.91 tokens max: 74 tokens	min: 6 tokens mean: 14.08 tokens max: 37 tokens	min: 6 tokens mean: 14.34 tokens max: 38 tokens

• 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 tokens mean: 18.77 tokens max: 30 tokens	min: 10 tokens mean: 18.41 tokens max: 33 tokens	min: 10 tokens mean: 18.35 tokens max: 30 tokens

• 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 tokens mean: 123.98 tokens max: 256 tokens	min: 62 tokens mean: 127.13 tokens max: 256 tokens	min: 58 tokens mean: 128.92 tokens max: 256 tokens

• 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 tokens mean: 80.86 tokens max: 116 tokens	min: 51 tokens mean: 81.24 tokens max: 108 tokens	min: 55 tokens mean: 79.88 tokens max: 115 tokens

• 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 tokens mean: 19.8 tokens max: 51 tokens	min: 7 tokens mean: 18.23 tokens max: 41 tokens	min: 7 tokens mean: 19.89 tokens max: 52 tokens

• 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 tokens mean: 24.5 tokens max: 42 tokens	min: 15 tokens mean: 24.16 tokens max: 41 tokens	min: 15 tokens mean: 24.26 tokens max: 38 tokens

• 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 tokens mean: 43.79 tokens max: 142 tokens	min: 12 tokens mean: 43.05 tokens max: 197 tokens	min: 12 tokens mean: 44.64 tokens max: 197 tokens

• 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 tokens mean: 153.11 tokens max: 256 tokens	min: 38 tokens mean: 161.73 tokens max: 256 tokens	min: 33 tokens mean: 167.0 tokens max: 256 tokens

• 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 tokens mean: 252.74 tokens max: 256 tokens	min: 169 tokens mean: 252.74 tokens max: 256 tokens	min: 178 tokens mean: 252.9 tokens max: 256 tokens

• 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 tokens mean: 126.44 tokens max: 256 tokens	min: 15 tokens mean: 131.14 tokens max: 256 tokens	min: 16 tokens mean: 136.07 tokens max: 256 tokens

• 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 tokens mean: 55.03 tokens max: 256 tokens	min: 6 tokens mean: 61.38 tokens max: 249 tokens	min: 6 tokens mean: 62.47 tokens max: 256 tokens

• 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 tokens mean: 44.9 tokens max: 92 tokens	min: 25 tokens mean: 45.21 tokens max: 95 tokens	min: 25 tokens mean: 44.7 tokens max: 88 tokens

• 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 tokens mean: 31.18 tokens max: 102 tokens	min: 18 tokens mean: 30.14 tokens max: 65 tokens	min: 18 tokens mean: 32.19 tokens max: 67 tokens

• 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 tokens mean: 36.37 tokens max: 53 tokens	min: 29 tokens mean: 35.59 tokens max: 54 tokens	min: 29 tokens mean: 34.87 tokens max: 55 tokens

• 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 tokens mean: 31.98 tokens max: 49 tokens	min: 28 tokens mean: 31.75 tokens max: 41 tokens	min: 29 tokens mean: 31.75 tokens max: 48 tokens

• 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 tokens mean: 182.31 tokens max: 256 tokens	min: 25 tokens mean: 181.14 tokens max: 256 tokens	min: 27 tokens mean: 184.24 tokens max: 256 tokens

• 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 tokens mean: 55.56 tokens max: 75 tokens	min: 35 tokens mean: 54.95 tokens max: 76 tokens	min: 36 tokens mean: 55.97 tokens max: 76 tokens

• 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 tokens mean: 252.97 tokens max: 256 tokens	min: 36 tokens mean: 252.53 tokens max: 256 tokens	min: 157 tokens mean: 254.0 tokens max: 256 tokens

• 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 tokens mean: 127.43 tokens max: 256 tokens	min: 13 tokens mean: 133.98 tokens max: 256 tokens	min: 16 tokens mean: 142.13 tokens max: 256 tokens

• 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 tokens mean: 29.92 tokens max: 68 tokens	min: 10 tokens mean: 30.2 tokens max: 64 tokens	min: 14 tokens mean: 29.84 tokens max: 68 tokens

• 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 tokens mean: 92.82 tokens max: 176 tokens	min: 47 tokens mean: 93.13 tokens max: 174 tokens	min: 42 tokens mean: 94.96 tokens max: 183 tokens

• 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 tokens mean: 40.09 tokens max: 120 tokens	min: 12 tokens mean: 39.33 tokens max: 186 tokens	min: 12 tokens mean: 40.42 tokens max: 148 tokens

• 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 tokens mean: 66.75 tokens max: 93 tokens	min: 43 tokens mean: 67.37 tokens max: 94 tokens	min: 45 tokens mean: 67.13 tokens max: 92 tokens

• 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 tokens mean: 13.72 tokens max: 21 tokens	min: 7 tokens mean: 13.8 tokens max: 21 tokens	min: 7 tokens mean: 13.28 tokens max: 20 tokens

• 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 tokens mean: 242.87 tokens max: 256 tokens	min: 120 tokens mean: 246.6 tokens max: 256 tokens	min: 99 tokens mean: 246.31 tokens max: 256 tokens

• 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 tokens mean: 230.68 tokens max: 256 tokens	min: 86 tokens mean: 234.65 tokens max: 256 tokens	min: 81 tokens mean: 236.16 tokens max: 256 tokens

• 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 tokens mean: 16.54 tokens max: 28 tokens	min: 11 tokens mean: 16.68 tokens max: 28 tokens	min: 9 tokens mean: 16.75 tokens max: 27 tokens

• 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 tokens mean: 165.69 tokens max: 256 tokens	min: 54 tokens mean: 166.56 tokens max: 256 tokens	min: 48 tokens mean: 167.89 tokens max: 256 tokens

• 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 tokens mean: 72.88 tokens max: 218 tokens	min: 25 tokens mean: 73.52 tokens max: 170 tokens	min: 27 tokens mean: 72.82 tokens max: 205 tokens

• 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 tokens mean: 31.28 tokens max: 57 tokens	min: 19 tokens mean: 30.54 tokens max: 53 tokens	min: 18 tokens mean: 30.82 tokens max: 53 tokens

• 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 tokens mean: 40.64 tokens max: 86 tokens	min: 15 tokens mean: 40.58 tokens max: 86 tokens	min: 14 tokens mean: 38.51 tokens max: 86 tokens

• 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 tokens mean: 114.35 tokens max: 256 tokens	min: 24 tokens mean: 119.45 tokens max: 256 tokens	min: 24 tokens mean: 123.81 tokens max: 256 tokens

• 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 tokens mean: 18.16 tokens max: 78 tokens	min: 7 tokens mean: 16.94 tokens max: 59 tokens	min: 7 tokens mean: 18.35 tokens max: 67 tokens

• 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 tokens mean: 42.25 tokens max: 70 tokens	min: 29 tokens mean: 41.63 tokens max: 74 tokens	min: 28 tokens mean: 41.83 tokens max: 75 tokens

• 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 tokens mean: 17.41 tokens max: 41 tokens	min: 8 tokens mean: 17.22 tokens max: 39 tokens	min: 8 tokens mean: 15.72 tokens max: 38 tokens

• 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 tokens mean: 255.36 tokens max: 256 tokens	min: 146 tokens mean: 255.71 tokens max: 256 tokens	min: 68 tokens mean: 252.09 tokens max: 256 tokens

• 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 tokens mean: 27.01 tokens max: 56 tokens	min: 23 tokens mean: 26.79 tokens max: 43 tokens	min: 23 tokens mean: 26.96 tokens max: 46 tokens

• 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 tokens mean: 7.41 tokens max: 11 tokens	min: 7 tokens mean: 7.3 tokens max: 11 tokens	min: 7 tokens mean: 7.27 tokens max: 11 tokens

• 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 tokens mean: 17.86 tokens max: 41 tokens	min: 8 tokens mean: 15.56 tokens max: 43 tokens	min: 8 tokens mean: 17.31 tokens max: 50 tokens

• 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 tokens mean: 9.61 tokens max: 17 tokens	min: 6 tokens mean: 9.59 tokens max: 16 tokens	min: 6 tokens mean: 9.66 tokens max: 16 tokens

• 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 tokens mean: 29.76 tokens max: 94 tokens	min: 12 tokens mean: 28.61 tokens max: 94 tokens	min: 12 tokens mean: 28.63 tokens max: 86 tokens

• 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 tokens mean: 47.87 tokens max: 106 tokens	min: 28 tokens mean: 45.55 tokens max: 116 tokens	min: 26 tokens mean: 45.87 tokens max: 123 tokens

• 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 tokens mean: 39.82 tokens max: 126 tokens	min: 8 tokens mean: 40.04 tokens max: 126 tokens	min: 8 tokens mean: 35.69 tokens max: 111 tokens

• 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 tokens mean: 20.66 tokens max: 46 tokens	min: 11 tokens mean: 18.63 tokens max: 41 tokens	min: 11 tokens mean: 19.53 tokens max: 46 tokens

• 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 tokens mean: 170.62 tokens max: 256 tokens	min: 11 tokens mean: 173.14 tokens max: 256 tokens	min: 14 tokens mean: 178.86 tokens max: 256 tokens

• 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 tokens mean: 223.5 tokens max: 256 tokens	min: 76 tokens mean: 220.19 tokens max: 256 tokens	min: 64 tokens mean: 220.04 tokens max: 256 tokens

• 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 tokens mean: 10.32 tokens max: 17 tokens	min: 6 tokens mean: 10.18 tokens max: 17 tokens	min: 6 tokens mean: 10.06 tokens max: 16 tokens

• 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 tokens mean: 249.63 tokens max: 256 tokens	min: 21 tokens mean: 249.29 tokens max: 256 tokens	min: 43 tokens mean: 249.18 tokens max: 256 tokens

• 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 tokens mean: 41.02 tokens max: 95 tokens	min: 19 tokens mean: 38.03 tokens max: 102 tokens	min: 18 tokens mean: 41.19 tokens max: 104 tokens

• 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 tokens mean: 62.8 tokens max: 95 tokens	min: 36 tokens mean: 62.28 tokens max: 94 tokens	min: 37 tokens mean: 62.92 tokens max: 95 tokens

• 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 tokens mean: 14.16 tokens max: 45 tokens	min: 4 tokens mean: 13.56 tokens max: 43 tokens	min: 4 tokens mean: 12.33 tokens max: 42 tokens

• 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 tokens mean: 31.85 tokens max: 60 tokens	min: 18 tokens mean: 30.74 tokens max: 57 tokens	min: 18 tokens mean: 33.3 tokens max: 105 tokens

• 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 tokens mean: 219.29 tokens max: 256 tokens	min: 57 tokens mean: 222.74 tokens max: 256 tokens	min: 96 tokens mean: 231.78 tokens max: 256 tokens

• 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 tokens mean: 32.21 tokens max: 56 tokens	min: 28 tokens mean: 31.76 tokens max: 45 tokens	min: 28 tokens mean: 31.63 tokens max: 46 tokens

• 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 tokens mean: 39.59 tokens max: 76 tokens	min: 11 tokens mean: 34.2 tokens max: 80 tokens	min: 11 tokens mean: 33.73 tokens max: 76 tokens

• 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 tokens mean: 19.53 tokens max: 62 tokens	min: 4 tokens mean: 20.2 tokens max: 62 tokens	min: 4 tokens mean: 14.13 tokens max: 54 tokens

• 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 tokens mean: 25.34 tokens max: 70 tokens	min: 16 tokens mean: 24.82 tokens max: 70 tokens	min: 16 tokens mean: 25.11 tokens max: 57 tokens

• 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 tokens mean: 43.82 tokens max: 197 tokens	min: 12 tokens mean: 44.72 tokens max: 211 tokens	min: 11 tokens mean: 39.27 tokens max: 115 tokens

• 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 tokens mean: 50.73 tokens max: 256 tokens	min: 20 tokens mean: 49.55 tokens max: 180 tokens	min: 22 tokens mean: 54.03 tokens max: 256 tokens

• 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 tokens mean: 17.3 tokens max: 35 tokens	min: 7 tokens mean: 15.39 tokens max: 34 tokens	min: 7 tokens mean: 16.22 tokens max: 34 tokens

• 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 tokens mean: 15.72 tokens max: 30 tokens	min: 7 tokens mean: 15.3 tokens max: 27 tokens	min: 7 tokens mean: 15.26 tokens max: 30 tokens

• 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 tokens mean: 130.07 tokens max: 256 tokens	min: 24 tokens mean: 139.63 tokens max: 256 tokens	min: 22 tokens mean: 136.8 tokens max: 256 tokens

• 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 tokens mean: 34.21 tokens max: 157 tokens	min: 8 tokens mean: 33.94 tokens max: 256 tokens	min: 5 tokens mean: 27.51 tokens max: 148 tokens

• 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 tokens mean: 125.68 tokens max: 256 tokens	min: 35 tokens mean: 124.36 tokens max: 256 tokens	min: 33 tokens mean: 133.49 tokens max: 256 tokens

• 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 tokens mean: 52.06 tokens max: 86 tokens	min: 33 tokens mean: 52.09 tokens max: 95 tokens	min: 33 tokens mean: 51.87 tokens max: 95 tokens

• 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 tokens mean: 144.3 tokens max: 256 tokens	min: 57 tokens mean: 143.64 tokens max: 256 tokens	min: 66 tokens mean: 147.62 tokens max: 256 tokens

• 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 tokens mean: 30.16 tokens max: 69 tokens	min: 16 tokens mean: 30.0 tokens max: 104 tokens	min: 17 tokens mean: 29.36 tokens max: 71 tokens

• 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 tokens mean: 67.56 tokens max: 106 tokens	min: 37 tokens mean: 67.11 tokens max: 104 tokens	min: 39 tokens mean: 68.44 tokens max: 107 tokens

• 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 tokens mean: 18.34 tokens max: 53 tokens	min: 7 tokens mean: 17.55 tokens max: 46 tokens	min: 7 tokens mean: 15.92 tokens max: 54 tokens

• 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 tokens mean: 70.42 tokens max: 194 tokens	min: 32 tokens mean: 68.55 tokens max: 194 tokens	min: 28 tokens mean: 68.5 tokens max: 165 tokens

• 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 tokens mean: 37.15 tokens max: 234 tokens	min: 5 tokens mean: 41.69 tokens max: 256 tokens	min: 5 tokens mean: 46.13 tokens max: 244 tokens

• 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 tokens mean: 28.69 tokens max: 73 tokens	min: 5 tokens mean: 26.72 tokens max: 110 tokens	min: 5 tokens mean: 26.94 tokens max: 90 tokens

• 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 tokens mean: 51.2 tokens max: 247 tokens	min: 5 tokens mean: 60.74 tokens max: 256 tokens	min: 5 tokens mean: 64.45 tokens max: 249 tokens

• 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 tokens mean: 120.8 tokens max: 256 tokens	min: 12 tokens mean: 121.88 tokens max: 256 tokens	min: 11 tokens mean: 134.4 tokens max: 256 tokens

• 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 tokens mean: 24.64 tokens max: 114 tokens	min: 9 tokens mean: 24.23 tokens max: 114 tokens	min: 8 tokens mean: 23.72 tokens max: 84 tokens

• 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 tokens mean: 59.39 tokens max: 83 tokens	min: 36 tokens mean: 58.25 tokens max: 92 tokens	min: 39 tokens mean: 58.03 tokens max: 95 tokens

• 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 tokens mean: 46.52 tokens max: 256 tokens	min: 14 tokens mean: 45.41 tokens max: 256 tokens	min: 18 tokens mean: 49.19 tokens max: 256 tokens

• 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 tokens mean: 9.71 tokens max: 16 tokens	min: 6 tokens mean: 9.72 tokens max: 16 tokens	min: 6 tokens mean: 9.6 tokens max: 17 tokens

• 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 tokens mean: 146.41 tokens max: 256 tokens	min: 43 tokens mean: 142.25 tokens max: 256 tokens	min: 50 tokens mean: 144.54 tokens max: 256 tokens

• 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 tokens mean: 19.55 tokens max: 32 tokens	min: 14 tokens mean: 19.38 tokens max: 31 tokens	min: 14 tokens mean: 19.24 tokens max: 28 tokens

• 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 tokens mean: 52.27 tokens max: 97 tokens	min: 18 tokens mean: 51.78 tokens max: 98 tokens	min: 19 tokens mean: 53.05 tokens max: 97 tokens

• 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 tokens mean: 230.21 tokens max: 256 tokens	min: 12 tokens mean: 236.63 tokens max: 256 tokens	min: 23 tokens mean: 235.13 tokens max: 256 tokens

• 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 tokens mean: 15.1 tokens max: 48 tokens	min: 10 tokens mean: 15.07 tokens max: 47 tokens	min: 10 tokens mean: 15.41 tokens max: 47 tokens

• 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 tokens mean: 72.6 tokens max: 108 tokens	min: 48 tokens mean: 72.61 tokens max: 109 tokens	min: 46 tokens mean: 73.22 tokens max: 108 tokens

• 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 tokens mean: 72.98 tokens max: 198 tokens	min: 23 tokens mean: 72.91 tokens max: 224 tokens	min: 23 tokens mean: 74.11 tokens max: 226 tokens

• 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 tokens mean: 149.8 tokens max: 256 tokens	min: 33 tokens mean: 160.42 tokens max: 256 tokens	min: 38 tokens mean: 164.58 tokens max: 256 tokens

• 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 tokens mean: 26.36 tokens max: 69 tokens	min: 14 tokens mean: 25.61 tokens max: 48 tokens	min: 15 tokens mean: 25.76 tokens max: 48 tokens

• 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 tokens mean: 33.81 tokens max: 79 tokens	min: 19 tokens mean: 33.53 tokens max: 74 tokens	min: 20 tokens mean: 33.4 tokens max: 77 tokens

• 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 tokens mean: 19.14 tokens max: 125 tokens	min: 8 tokens mean: 17.5 tokens max: 49 tokens	min: 8 tokens mean: 17.33 tokens max: 79 tokens

• 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 tokens mean: 59.5 tokens max: 147 tokens	min: 22 tokens mean: 61.98 tokens max: 154 tokens	min: 20 tokens mean: 48.3 tokens max: 124 tokens

• 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 tokens mean: 80.45 tokens max: 181 tokens	min: 42 tokens mean: 78.96 tokens max: 179 tokens	min: 42 tokens mean: 77.07 tokens max: 166 tokens

• 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 tokens mean: 241.84 tokens max: 256 tokens	min: 69 tokens mean: 243.75 tokens max: 256 tokens	min: 67 tokens mean: 246.71 tokens max: 256 tokens

• 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 tokens mean: 110.13 tokens max: 196 tokens	min: 42 tokens mean: 110.78 tokens max: 195 tokens	min: 48 tokens mean: 110.6 tokens max: 196 tokens

• 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 tokens mean: 198.18 tokens max: 256 tokens	min: 145 tokens mean: 196.56 tokens max: 256 tokens	min: 147 tokens mean: 198.4 tokens max: 256 tokens

• 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 tokens mean: 130.59 tokens max: 256 tokens	min: 15 tokens mean: 137.09 tokens max: 256 tokens	min: 17 tokens mean: 137.38 tokens max: 256 tokens

• 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 tokens mean: 255.57 tokens max: 256 tokens	min: 214 tokens mean: 255.53 tokens max: 256 tokens	min: 224 tokens mean: 255.61 tokens max: 256 tokens

• 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 tokens mean: 84.55 tokens max: 134 tokens	min: 59 tokens mean: 85.56 tokens max: 130 tokens	min: 58 tokens mean: 84.73 tokens max: 125 tokens

• 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 tokens mean: 27.6 tokens max: 59 tokens	min: 9 tokens mean: 27.42 tokens max: 45 tokens	min: 11 tokens mean: 27.39 tokens max: 46 tokens

• 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 tokens mean: 7.37 tokens max: 12 tokens	min: 7 tokens mean: 7.33 tokens max: 11 tokens	min: 7 tokens mean: 7.24 tokens max: 10 tokens

• 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 tokens mean: 54.55 tokens max: 256 tokens	min: 23 tokens mean: 51.77 tokens max: 256 tokens	min: 27 tokens mean: 55.1 tokens max: 256 tokens

• 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 tokens mean: 65.28 tokens max: 256 tokens	min: 5 tokens mean: 77.4 tokens max: 256 tokens	min: 5 tokens mean: 73.69 tokens max: 256 tokens

• 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 tokens mean: 124.81 tokens max: 245 tokens	min: 13 tokens mean: 123.13 tokens max: 244 tokens	min: 13 tokens mean: 120.4 tokens max: 238 tokens

• 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 tokens mean: 73.85 tokens max: 250 tokens	min: 5 tokens mean: 73.41 tokens max: 256 tokens	min: 8 tokens mean: 75.34 tokens max: 256 tokens

• 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 tokens mean: 67.42 tokens max: 174 tokens	min: 18 tokens mean: 72.58 tokens max: 170 tokens	min: 17 tokens mean: 67.42 tokens max: 164 tokens

• 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 tokens mean: 110.13 tokens max: 256 tokens	min: 16 tokens mean: 116.49 tokens max: 256 tokens	min: 18 tokens mean: 120.79 tokens max: 256 tokens

• 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 tokens mean: 85.71 tokens max: 246 tokens	min: 33 tokens mean: 85.04 tokens max: 225 tokens	min: 28 tokens mean: 93.66 tokens max: 256 tokens

• 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 tokens mean: 52.65 tokens max: 256 tokens	min: 7 tokens mean: 55.69 tokens max: 256 tokens	min: 7 tokens mean: 63.02 tokens max: 256 tokens

• 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 tokens mean: 22.2 tokens max: 50 tokens	min: 8 tokens mean: 22.05 tokens max: 58 tokens	min: 7 tokens mean: 22.14 tokens max: 55 tokens

• 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 tokens mean: 23.06 tokens max: 75 tokens	min: 4 tokens mean: 18.42 tokens max: 63 tokens	min: 5 tokens mean: 20.46 tokens max: 68 tokens

• 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 tokens mean: 19.67 tokens max: 32 tokens	min: 14 tokens mean: 19.41 tokens max: 29 tokens	min: 14 tokens mean: 19.54 tokens max: 31 tokens

• 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 tokens mean: 29.99 tokens max: 70 tokens	min: 14 tokens mean: 28.92 tokens max: 86 tokens	min: 14 tokens mean: 28.76 tokens max: 58 tokens

• 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 tokens mean: 242.65 tokens max: 256 tokens	min: 165 tokens mean: 243.0 tokens max: 256 tokens	min: 173 tokens mean: 243.1 tokens max: 256 tokens

• 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 tokens mean: 31.66 tokens max: 54 tokens	min: 26 tokens mean: 31.34 tokens max: 48 tokens	min: 25 tokens mean: 31.16 tokens max: 49 tokens

• 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 tokens mean: 22.7 tokens max: 118 tokens	min: 4 tokens mean: 18.87 tokens max: 79 tokens	min: 5 tokens mean: 21.32 tokens max: 51 tokens

• 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 tokens mean: 32.05 tokens max: 54 tokens	min: 28 tokens mean: 31.69 tokens max: 57 tokens	min: 28 tokens mean: 31.59 tokens max: 43 tokens

• 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 tokens mean: 54.07 tokens max: 132 tokens	min: 36 tokens mean: 53.57 tokens max: 103 tokens	min: 40 tokens mean: 54.15 tokens max: 84 tokens

• 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 tokens mean: 193.55 tokens max: 256 tokens	min: 55 tokens mean: 193.45 tokens max: 256 tokens	min: 37 tokens mean: 197.57 tokens max: 256 tokens

• 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 tokens mean: 23.56 tokens max: 112 tokens	min: 12 tokens mean: 24.19 tokens max: 112 tokens	min: 12 tokens mean: 22.42 tokens max: 120 tokens

• 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 tokens mean: 67.92 tokens max: 112 tokens	min: 36 tokens mean: 68.12 tokens max: 108 tokens	min: 36 tokens mean: 68.76 tokens max: 99 tokens

• 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 tokens mean: 67.68 tokens max: 97 tokens	min: 45 tokens mean: 66.65 tokens max: 97 tokens	min: 41 tokens mean: 66.86 tokens max: 96 tokens

• 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 tokens mean: 57.92 tokens max: 110 tokens	min: 28 tokens mean: 57.34 tokens max: 111 tokens	min: 28 tokens mean: 56.88 tokens max: 102 tokens

• 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 tokens mean: 80.36 tokens max: 143 tokens	min: 51 tokens mean: 82.32 tokens max: 157 tokens	min: 49 tokens mean: 79.01 tokens max: 145 tokens

• 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 tokens mean: 210.77 tokens max: 256 tokens	min: 139 tokens mean: 209.96 tokens max: 256 tokens	min: 143 tokens mean: 208.7 tokens max: 256 tokens

• 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 tokens mean: 242.84 tokens max: 256 tokens	min: 101 tokens mean: 242.29 tokens max: 256 tokens	min: 113 tokens mean: 251.55 tokens max: 256 tokens

• 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 tokens mean: 19.77 tokens max: 36 tokens	min: 7 tokens mean: 19.13 tokens max: 38 tokens	min: 7 tokens mean: 19.04 tokens max: 35 tokens

• 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 tokens mean: 28.15 tokens max: 46 tokens	min: 18 tokens mean: 27.81 tokens max: 45 tokens	min: 19 tokens mean: 27.71 tokens max: 45 tokens

• 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 tokens mean: 256.0 tokens max: 256 tokens	min: 256 tokens mean: 256.0 tokens max: 256 tokens	min: 256 tokens mean: 256.0 tokens max: 256 tokens

• 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 tokens mean: 21.99 tokens max: 35 tokens	min: 14 tokens mean: 21.95 tokens max: 34 tokens	min: 14 tokens mean: 21.53 tokens max: 38 tokens

• 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 tokens mean: 242.19 tokens max: 256 tokens	min: 127 tokens mean: 242.46 tokens max: 256 tokens	min: 136 tokens mean: 242.46 tokens max: 256 tokens

• 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 tokens mean: 27.76 tokens max: 47 tokens	min: 10 tokens mean: 27.16 tokens max: 46 tokens	min: 11 tokens mean: 27.69 tokens max: 47 tokens

• 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 tokens mean: 39.48 tokens max: 85 tokens	min: 23 tokens mean: 38.88 tokens max: 96 tokens	min: 22 tokens mean: 38.37 tokens max: 89 tokens

• 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 tokens mean: 50.33 tokens max: 67 tokens	min: 44 tokens mean: 50.32 tokens max: 67 tokens	min: 44 tokens mean: 50.55 tokens max: 66 tokens

• 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 tokens mean: 50.73 tokens max: 79 tokens	min: 37 tokens mean: 50.35 tokens max: 74 tokens	min: 37 tokens mean: 50.49 tokens max: 74 tokens

• 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 tokens mean: 66.13 tokens max: 248 tokens	min: 5 tokens mean: 76.82 tokens max: 248 tokens	min: 6 tokens mean: 75.58 tokens max: 251 tokens

• 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 tokens mean: 22.04 tokens max: 50 tokens	min: 13 tokens mean: 22.02 tokens max: 42 tokens	min: 13 tokens mean: 21.89 tokens max: 40 tokens

• 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 tokens mean: 228.99 tokens max: 256 tokens	min: 74 tokens mean: 230.62 tokens max: 256 tokens	min: 71 tokens mean: 232.24 tokens max: 256 tokens

• 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 tokens mean: 9.94 tokens max: 18 tokens	min: 6 tokens mean: 10.01 tokens max: 19 tokens	min: 6 tokens mean: 10.02 tokens max: 18 tokens

• 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 tokens mean: 18.43 tokens max: 28 tokens	min: 16 tokens mean: 18.37 tokens max: 26 tokens	min: 16 tokens mean: 18.47 tokens max: 25 tokens

• 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 tokens mean: 251.82 tokens max: 256 tokens	min: 147 tokens mean: 252.12 tokens max: 256 tokens	min: 148 tokens mean: 251.83 tokens max: 256 tokens

• 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 tokens mean: 27.83 tokens max: 199 tokens	min: 4 tokens mean: 27.29 tokens max: 205 tokens	min: 5 tokens mean: 29.94 tokens max: 194 tokens

• 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 tokens mean: 80.17 tokens max: 256 tokens	min: 14 tokens mean: 81.39 tokens max: 256 tokens	min: 15 tokens mean: 87.22 tokens max: 256 tokens

• 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 tokens mean: 19.77 tokens max: 41 tokens	min: 9 tokens mean: 19.87 tokens max: 40 tokens	min: 2 tokens mean: 20.23 tokens max: 44 tokens

• 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 tokens mean: 79.36 tokens max: 117 tokens	min: 51 tokens mean: 79.2 tokens max: 110 tokens	min: 53 tokens mean: 79.93 tokens max: 110 tokens

• 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 tokens mean: 21.77 tokens max: 30 tokens	min: 16 tokens mean: 21.66 tokens max: 31 tokens	min: 16 tokens mean: 21.79 tokens max: 30 tokens

• 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 tokens mean: 52.3 tokens max: 107 tokens	min: 35 tokens mean: 51.1 tokens max: 86 tokens	min: 35 tokens mean: 50.9 tokens max: 87 tokens

• 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 tokens mean: 41.2 tokens max: 185 tokens	min: 12 tokens mean: 40.1 tokens max: 185 tokens	min: 12 tokens mean: 40.88 tokens max: 185 tokens

• 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 tokens mean: 73.76 tokens max: 190 tokens	min: 28 tokens mean: 76.08 tokens max: 256 tokens	min: 23 tokens mean: 74.63 tokens max: 256 tokens

• 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 tokens mean: 73.1 tokens max: 105 tokens	min: 48 tokens mean: 73.25 tokens max: 100 tokens	min: 49 tokens mean: 71.83 tokens max: 102 tokens

• 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 tokens mean: 226.49 tokens max: 256 tokens	min: 47 tokens mean: 232.9 tokens max: 256 tokens	min: 47 tokens mean: 231.94 tokens max: 256 tokens

• 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 tokens mean: 26.68 tokens max: 40 tokens	min: 14 tokens mean: 26.09 tokens max: 42 tokens	min: 15 tokens mean: 26.32 tokens max: 38 tokens

• 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 tokens mean: 12.68 tokens max: 33 tokens	min: 5 tokens mean: 12.51 tokens max: 33 tokens	min: 6 tokens mean: 12.4 tokens max: 29 tokens

• 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 tokens mean: 32.65 tokens max: 145 tokens	min: 5 tokens mean: 30.75 tokens max: 171 tokens	min: 5 tokens mean: 30.25 tokens max: 169 tokens

• 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 tokens mean: 31.75 tokens max: 79 tokens	min: 18 tokens mean: 31.28 tokens max: 84 tokens	min: 18 tokens mean: 32.97 tokens max: 84 tokens

• 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 tokens mean: 31.53 tokens max: 68 tokens	min: 13 tokens mean: 31.86 tokens max: 68 tokens	min: 13 tokens mean: 28.89 tokens max: 96 tokens

• 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 tokens mean: 14.54 tokens max: 29 tokens	min: 7 tokens mean: 14.46 tokens max: 27 tokens	min: 6 tokens mean: 14.07 tokens max: 29 tokens

• 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 tokens mean: 36.07 tokens max: 72 tokens	min: 17 tokens mean: 32.8 tokens max: 61 tokens	min: 17 tokens mean: 36.08 tokens max: 72 tokens

• 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 tokens mean: 70.39 tokens max: 177 tokens	min: 30 tokens mean: 69.02 tokens max: 146 tokens	min: 33 tokens mean: 69.69 tokens max: 160 tokens

• 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 tokens mean: 175.27 tokens max: 256 tokens	min: 57 tokens mean: 175.46 tokens max: 256 tokens	min: 53 tokens mean: 175.28 tokens max: 256 tokens

• 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 tokens mean: 176.58 tokens max: 253 tokens	min: 126 tokens mean: 176.32 tokens max: 249 tokens	min: 128 tokens mean: 178.35 tokens max: 254 tokens

• 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 tokens mean: 38.52 tokens max: 117 tokens	min: 7 tokens mean: 37.28 tokens max: 109 tokens	min: 7 tokens mean: 36.88 tokens max: 113 tokens

• 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 tokens mean: 52.76 tokens max: 256 tokens	min: 12 tokens mean: 50.84 tokens max: 256 tokens	min: 12 tokens mean: 55.7 tokens max: 256 tokens

• 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 tokens mean: 16.81 tokens max: 38 tokens	min: 7 tokens mean: 25.67 tokens max: 68 tokens	min: 7 tokens mean: 24.35 tokens max: 59 tokens

• 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 tokens mean: 31.73 tokens max: 101 tokens	min: 13 tokens mean: 30.82 tokens max: 94 tokens	min: 12 tokens mean: 32.82 tokens max: 89 tokens

• 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 tokens mean: 36.18 tokens max: 50 tokens	min: 31 tokens mean: 35.78 tokens max: 55 tokens	min: 31 tokens mean: 35.43 tokens max: 48 tokens

• 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 tokens mean: 256.0 tokens max: 256 tokens	min: 256 tokens mean: 256.0 tokens max: 256 tokens	min: 256 tokens mean: 256.0 tokens max: 256 tokens

• 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 tokens mean: 239.78 tokens max: 256 tokens	min: 58 tokens mean: 241.1 tokens max: 256 tokens	min: 64 tokens mean: 248.41 tokens max: 256 tokens

• 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 tokens mean: 43.66 tokens max: 156 tokens	min: 12 tokens mean: 42.54 tokens max: 129 tokens	min: 11 tokens mean: 42.63 tokens max: 133 tokens

• 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 tokens mean: 253.52 tokens max: 256 tokens	min: 198 tokens mean: 253.15 tokens max: 256 tokens	min: 195 tokens mean: 252.97 tokens max: 256 tokens

• 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 tokens mean: 133.78 tokens max: 256 tokens	min: 30 tokens mean: 139.01 tokens max: 256 tokens	min: 27 tokens mean: 137.64 tokens max: 256 tokens

• 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 tokens mean: 32.95 tokens max: 146 tokens	min: 14 tokens mean: 31.8 tokens max: 146 tokens	min: 14 tokens mean: 32.68 tokens max: 127 tokens

• 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 tokens mean: 67.7 tokens max: 105 tokens	min: 38 tokens mean: 66.98 tokens max: 106 tokens	min: 39 tokens mean: 68.95 tokens max: 105 tokens

• 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 tokens mean: 27.68 tokens max: 83 tokens	min: 6 tokens mean: 27.92 tokens max: 83 tokens	min: 5 tokens mean: 27.06 tokens max: 93 tokens

• 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 tokens mean: 21.83 tokens max: 30 tokens	min: 16 tokens mean: 21.64 tokens max: 30 tokens	min: 16 tokens mean: 21.83 tokens max: 30 tokens

• 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 tokens mean: 255.88 tokens max: 256 tokens	min: 238 tokens mean: 255.93 tokens max: 256 tokens	min: 255 tokens mean: 256.0 tokens max: 256 tokens

• 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 tokens mean: 238.65 tokens max: 256 tokens	min: 155 tokens mean: 237.61 tokens max: 256 tokens	min: 154 tokens mean: 239.64 tokens max: 256 tokens

• 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 tokens mean: 72.44 tokens max: 107 tokens	min: 48 tokens mean: 72.32 tokens max: 107 tokens	min: 48 tokens mean: 71.0 tokens max: 105 tokens

• 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 tokens mean: 9.6 tokens max: 25 tokens	min: 4 tokens mean: 9.46 tokens max: 20 tokens	min: 4 tokens mean: 8.95 tokens max: 20 tokens

• 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 tokens mean: 67.59 tokens max: 102 tokens	min: 39 tokens mean: 67.04 tokens max: 106 tokens	min: 38 tokens mean: 68.18 tokens max: 103 tokens

• 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 tokens mean: 47.0 tokens max: 137 tokens	min: 17 tokens mean: 46.18 tokens max: 119 tokens	min: 17 tokens mean: 47.22 tokens max: 128 tokens

• 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 tokens mean: 67.75 tokens max: 256 tokens	min: 22 tokens mean: 70.9 tokens max: 256 tokens	min: 19 tokens mean: 72.19 tokens max: 256 tokens

• 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 tokens mean: 38.63 tokens max: 175 tokens	min: 14 tokens mean: 35.26 tokens max: 175 tokens	min: 13 tokens mean: 34.05 tokens max: 170 tokens

• 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 tokens mean: 219.85 tokens max: 256 tokens	min: 22 tokens mean: 233.01 tokens max: 256 tokens	min: 22 tokens mean: 227.46 tokens max: 256 tokens

• 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 tokens mean: 161.05 tokens max: 256 tokens	min: 39 tokens mean: 160.33 tokens max: 256 tokens	min: 39 tokens mean: 164.23 tokens max: 256 tokens

• 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 tokens mean: 32.81 tokens max: 68 tokens	min: 18 tokens mean: 31.89 tokens max: 63 tokens	min: 19 tokens mean: 31.88 tokens max: 75 tokens

• 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 tokens mean: 16.27 tokens max: 31 tokens	min: 11 tokens mean: 16.06 tokens max: 29 tokens	min: 11 tokens mean: 16.81 tokens max: 29 tokens

• 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 tokens mean: 22.6 tokens max: 89 tokens	min: 6 tokens mean: 21.15 tokens max: 92 tokens	min: 7 tokens mean: 20.62 tokens max: 67 tokens

• 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 tokens mean: 216.87 tokens max: 256 tokens	min: 20 tokens mean: 218.0 tokens max: 256 tokens	min: 10 tokens mean: 222.17 tokens max: 256 tokens

• 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 tokens mean: 239.48 tokens max: 256 tokens	min: 76 tokens mean: 239.53 tokens max: 256 tokens	min: 43 tokens mean: 244.89 tokens max: 256 tokens

• 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 tokens mean: 22.23 tokens max: 50 tokens	min: 10 tokens mean: 21.72 tokens max: 70 tokens	min: 8 tokens mean: 20.75 tokens max: 47 tokens

• 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 tokens mean: 100.0 tokens max: 158 tokens	min: 63 tokens mean: 98.69 tokens max: 142 tokens	min: 62 tokens mean: 100.39 tokens max: 141 tokens

• 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 tokens mean: 29.58 tokens max: 46 tokens	min: 15 tokens mean: 29.27 tokens max: 53 tokens	min: 15 tokens mean: 29.1 tokens max: 43 tokens

• 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 tokens mean: 255.03 tokens max: 256 tokens	min: 99 tokens mean: 254.28 tokens max: 256 tokens	min: 173 tokens mean: 255.09 tokens max: 256 tokens

• 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 tokens mean: 12.89 tokens max: 28 tokens	min: 9 tokens mean: 12.66 tokens max: 24 tokens	min: 9 tokens mean: 12.25 tokens max: 22 tokens

• 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 tokens mean: 18.8 tokens max: 41 tokens	min: 14 tokens mean: 18.59 tokens max: 30 tokens	min: 14 tokens mean: 18.5 tokens max: 29 tokens

• 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 tokens mean: 10.86 tokens max: 33 tokens	min: 3 tokens mean: 10.76 tokens max: 24 tokens	min: 3 tokens mean: 10.15 tokens max: 26 tokens

• 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 tokens mean: 35.54 tokens max: 56 tokens	min: 17 tokens mean: 35.73 tokens max: 56 tokens	min: 20 tokens mean: 36.68 tokens max: 55 tokens

• 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 tokens mean: 51.1 tokens max: 94 tokens	min: 25 tokens mean: 50.65 tokens max: 92 tokens	min: 20 tokens mean: 51.51 tokens max: 95 tokens

• 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 tokens mean: 11.47 tokens max: 23 tokens	min: 7 tokens mean: 11.46 tokens max: 19 tokens	min: 5 tokens mean: 11.41 tokens max: 22 tokens

• 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 tokens mean: 31.07 tokens max: 88 tokens	min: 16 tokens mean: 31.04 tokens max: 92 tokens	min: 16 tokens mean: 30.88 tokens max: 92 tokens

• 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 tokens mean: 28.89 tokens max: 68 tokens	min: 25 tokens mean: 28.46 tokens max: 48 tokens	min: 25 tokens mean: 28.7 tokens max: 47 tokens

• 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 tokens mean: 67.89 tokens max: 98 tokens	min: 46 tokens mean: 67.1 tokens max: 104 tokens	min: 43 tokens mean: 69.01 tokens max: 96 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task115_help_advice_classification

• Dataset: task115_help_advice_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: 2 tokens mean: 19.96 tokens max: 91 tokens	min: 3 tokens mean: 18.23 tokens max: 92 tokens	min: 4 tokens mean: 19.29 tokens max: 137 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task431_senteval_object_count

• Dataset: task431_senteval_object_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 tokens mean: 16.73 tokens max: 37 tokens	min: 7 tokens mean: 15.13 tokens max: 36 tokens	min: 7 tokens mean: 15.8 tokens max: 35 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task1360_numer_sense_multiple_choice_qa_generation

• Dataset: task1360_numer_sense_multiple_choice_qa_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: 32 tokens mean: 40.53 tokens max: 54 tokens	min: 32 tokens mean: 40.27 tokens max: 53 tokens	min: 32 tokens mean: 40.17 tokens max: 60 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task177_para-nmt_paraphrasing

• Dataset: task177_para-nmt_paraphrasing
• 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 tokens mean: 19.93 tokens max: 82 tokens	min: 9 tokens mean: 18.96 tokens max: 58 tokens	min: 9 tokens mean: 18.21 tokens max: 36 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task132_dais_text_modification

• Dataset: task132_dais_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: 6 tokens mean: 9.31 tokens max: 15 tokens	min: 6 tokens mean: 9.1 tokens max: 15 tokens	min: 6 tokens mean: 10.13 tokens max: 15 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task269_csrg_counterfactual_story_generation

• Dataset: task269_csrg_counterfactual_story_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: 49 tokens mean: 79.94 tokens max: 111 tokens	min: 53 tokens mean: 79.58 tokens max: 116 tokens	min: 48 tokens mean: 79.43 tokens max: 114 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task233_iirc_link_exists_classification

• Dataset: task233_iirc_link_exists_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: 145 tokens mean: 236.06 tokens max: 256 tokens	min: 142 tokens mean: 234.18 tokens max: 256 tokens	min: 151 tokens mean: 235.38 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task161_count_words_containing_letter

• Dataset: task161_count_words_containing_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: 27 tokens mean: 31.0 tokens max: 53 tokens	min: 27 tokens mean: 30.81 tokens max: 61 tokens	min: 27 tokens mean: 30.5 tokens max: 42 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task1205_atomic_classification_isafter

• Dataset: task1205_atomic_classification_isafter
• 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 tokens mean: 20.87 tokens max: 37 tokens	min: 14 tokens mean: 20.68 tokens max: 35 tokens	min: 14 tokens mean: 21.48 tokens max: 37 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task571_recipe_nlg_ner_generation

• Dataset: task571_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: 5 tokens mean: 117.95 tokens max: 256 tokens	min: 7 tokens mean: 118.72 tokens max: 256 tokens	min: 6 tokens mean: 110.85 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task1292_yelp_review_full_text_categorization

• Dataset: task1292_yelp_review_full_text_categorization
• 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 tokens mean: 137.06 tokens max: 256 tokens	min: 7 tokens mean: 146.76 tokens max: 256 tokens	min: 3 tokens mean: 145.5 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task428_senteval_inversion

• Dataset: task428_senteval_inversion
• 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 tokens mean: 16.59 tokens max: 32 tokens	min: 7 tokens mean: 14.56 tokens max: 31 tokens	min: 7 tokens mean: 15.26 tokens max: 34 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task311_race_question_generation

• Dataset: task311_race_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: 115 tokens mean: 254.69 tokens max: 256 tokens	min: 137 tokens mean: 254.55 tokens max: 256 tokens	min: 171 tokens mean: 255.44 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task429_senteval_tense

• Dataset: task429_senteval_tense
• 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 tokens mean: 15.91 tokens max: 37 tokens	min: 6 tokens mean: 14.14 tokens max: 33 tokens	min: 7 tokens mean: 15.3 tokens max: 36 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task403_creak_commonsense_inference

• Dataset: task403_creak_commonsense_inference
• 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 tokens mean: 30.21 tokens max: 104 tokens	min: 13 tokens mean: 29.49 tokens max: 108 tokens	min: 13 tokens mean: 29.38 tokens max: 122 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task929_products_reviews_classification

• Dataset: task929_products_reviews_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 tokens mean: 69.46 tokens max: 126 tokens	min: 6 tokens mean: 70.47 tokens max: 123 tokens	min: 6 tokens mean: 70.61 tokens max: 123 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task582_naturalquestion_answer_generation

• Dataset: task582_naturalquestion_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 tokens mean: 11.69 tokens max: 25 tokens	min: 10 tokens mean: 11.64 tokens max: 24 tokens	min: 10 tokens mean: 11.71 tokens max: 25 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task237_iirc_answer_from_subtext_answer_generation

• Dataset: task237_iirc_answer_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: 22 tokens mean: 66.35 tokens max: 256 tokens	min: 25 tokens mean: 65.17 tokens max: 256 tokens	min: 23 tokens mean: 61.37 tokens max: 161 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task050_multirc_answerability

• Dataset: task050_multirc_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: 15 tokens mean: 32.54 tokens max: 112 tokens	min: 14 tokens mean: 31.68 tokens max: 93 tokens	min: 15 tokens mean: 32.17 tokens max: 159 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task184_break_generate_question

• Dataset: task184_break_generate_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: 13 tokens mean: 39.69 tokens max: 147 tokens	min: 13 tokens mean: 39.22 tokens max: 149 tokens	min: 13 tokens mean: 39.64 tokens max: 148 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task669_ambigqa_answer_generation

• Dataset: task669_ambigqa_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 tokens mean: 12.93 tokens max: 23 tokens	min: 10 tokens mean: 12.86 tokens max: 27 tokens	min: 11 tokens mean: 12.76 tokens max: 22 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task169_strategyqa_sentence_generation

• Dataset: task169_strategyqa_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: 19 tokens mean: 35.03 tokens max: 63 tokens	min: 22 tokens mean: 34.25 tokens max: 60 tokens	min: 19 tokens mean: 33.41 tokens max: 65 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task500_scruples_anecdotes_title_generation

• Dataset: task500_scruples_anecdotes_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: 14 tokens mean: 225.52 tokens max: 256 tokens	min: 31 tokens mean: 233.24 tokens max: 256 tokens	min: 27 tokens mean: 234.88 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task241_tweetqa_classification

• Dataset: task241_tweetqa_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: 31 tokens mean: 61.68 tokens max: 92 tokens	min: 36 tokens mean: 62.12 tokens max: 106 tokens	min: 31 tokens mean: 61.63 tokens max: 92 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task1345_glue_qqp_question_paraprashing

• Dataset: task1345_glue_qqp_question_paraprashing
• 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 tokens mean: 16.82 tokens max: 60 tokens	min: 6 tokens mean: 15.82 tokens max: 69 tokens	min: 6 tokens mean: 16.68 tokens max: 51 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task218_rocstories_swap_order_answer_generation

• Dataset: task218_rocstories_swap_order_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 tokens mean: 72.68 tokens max: 118 tokens	min: 48 tokens mean: 72.45 tokens max: 102 tokens	min: 47 tokens mean: 72.18 tokens max: 106 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task613_politifact_text_generation

• Dataset: task613_politifact_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: 4 tokens mean: 24.59 tokens max: 75 tokens	min: 7 tokens mean: 23.45 tokens max: 56 tokens	min: 5 tokens mean: 22.74 tokens max: 61 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task1167_penn_treebank_coarse_pos_tagging

• Dataset: task1167_penn_treebank_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: 16 tokens mean: 53.7 tokens max: 200 tokens	min: 16 tokens mean: 53.4 tokens max: 220 tokens	min: 16 tokens mean: 54.98 tokens max: 202 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task1422_mathqa_physics

• Dataset: task1422_mathqa_physics
• 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 tokens mean: 72.49 tokens max: 164 tokens	min: 38 tokens mean: 71.74 tokens max: 157 tokens	min: 39 tokens mean: 72.41 tokens max: 155 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task247_dream_answer_generation

• Dataset: task247_dream_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: 38 tokens mean: 159.27 tokens max: 256 tokens	min: 39 tokens mean: 157.53 tokens max: 256 tokens	min: 41 tokens mean: 166.97 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task199_mnli_classification

• Dataset: task199_mnli_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 tokens mean: 43.16 tokens max: 127 tokens	min: 11 tokens mean: 44.73 tokens max: 149 tokens	min: 11 tokens mean: 44.0 tokens max: 113 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task164_mcscript_question_answering_text

• Dataset: task164_mcscript_question_answering_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: 150 tokens mean: 199.47 tokens max: 256 tokens	min: 150 tokens mean: 199.59 tokens max: 256 tokens	min: 142 tokens mean: 199.69 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task1541_agnews_classification

• Dataset: task1541_agnews_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: 21 tokens mean: 53.71 tokens max: 256 tokens	min: 18 tokens mean: 53.0 tokens max: 256 tokens	min: 18 tokens mean: 53.65 tokens max: 161 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task516_senteval_conjoints_inversion

• Dataset: task516_senteval_conjoints_inversion
• 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 tokens mean: 20.14 tokens max: 34 tokens	min: 8 tokens mean: 18.98 tokens max: 34 tokens	min: 8 tokens mean: 18.93 tokens max: 34 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task294_storycommonsense_motiv_text_generation

• Dataset: task294_storycommonsense_motiv_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 tokens mean: 40.52 tokens max: 86 tokens	min: 14 tokens mean: 41.02 tokens max: 86 tokens	min: 14 tokens mean: 40.19 tokens max: 86 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task501_scruples_anecdotes_post_type_verification

• Dataset: task501_scruples_anecdotes_post_type_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: 18 tokens mean: 231.62 tokens max: 256 tokens	min: 12 tokens mean: 235.28 tokens max: 256 tokens	min: 18 tokens mean: 234.52 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task213_rocstories_correct_ending_classification

• Dataset: task213_rocstories_correct_ending_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: 62 tokens mean: 86.19 tokens max: 125 tokens	min: 60 tokens mean: 85.48 tokens max: 131 tokens	min: 59 tokens mean: 85.92 tokens max: 131 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task821_protoqa_question_generation

• Dataset: task821_protoqa_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: 5 tokens mean: 14.95 tokens max: 61 tokens	min: 5 tokens mean: 15.01 tokens max: 35 tokens	min: 5 tokens mean: 13.96 tokens max: 93 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task493_review_polarity_classification

• Dataset: task493_review_polarity_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 tokens mean: 100.45 tokens max: 256 tokens	min: 19 tokens mean: 105.43 tokens max: 256 tokens	min: 14 tokens mean: 111.94 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task308_jeopardy_answer_generation_all

• Dataset: task308_jeopardy_answer_generation_all
• 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 tokens mean: 27.73 tokens max: 50 tokens	min: 10 tokens mean: 27.01 tokens max: 44 tokens	min: 9 tokens mean: 27.41 tokens max: 48 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task1595_event2mind_text_generation_1

• Dataset: task1595_event2mind_text_generation_1
• 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 tokens mean: 9.87 tokens max: 18 tokens	min: 6 tokens mean: 9.98 tokens max: 20 tokens	min: 6 tokens mean: 10.03 tokens max: 20 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task040_qasc_question_generation

• Dataset: task040_qasc_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: 8 tokens mean: 15.07 tokens max: 29 tokens	min: 7 tokens mean: 15.06 tokens max: 30 tokens	min: 8 tokens mean: 13.89 tokens max: 32 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task231_iirc_link_classification

• Dataset: task231_iirc_link_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: 179 tokens mean: 246.32 tokens max: 256 tokens	min: 170 tokens mean: 246.01 tokens max: 256 tokens	min: 161 tokens mean: 246.97 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task1727_wiqa_what_is_the_effect

• Dataset: task1727_wiqa_what_is_the_effect
• 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 tokens mean: 95.72 tokens max: 183 tokens	min: 44 tokens mean: 95.92 tokens max: 185 tokens	min: 43 tokens mean: 96.1 tokens max: 183 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task578_curiosity_dialogs_answer_generation

• Dataset: task578_curiosity_dialogs_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 tokens mean: 229.92 tokens max: 256 tokens	min: 118 tokens mean: 235.91 tokens max: 256 tokens	min: 12 tokens mean: 229.32 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task310_race_classification

• Dataset: task310_race_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: 101 tokens mean: 254.9 tokens max: 256 tokens	min: 218 tokens mean: 255.78 tokens max: 256 tokens	min: 101 tokens mean: 254.9 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task309_race_answer_generation

• Dataset: task309_race_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: 75 tokens mean: 254.96 tokens max: 256 tokens	min: 204 tokens mean: 255.55 tokens max: 256 tokens	min: 75 tokens mean: 255.19 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task379_agnews_topic_classification

• Dataset: task379_agnews_topic_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 tokens mean: 54.92 tokens max: 193 tokens	min: 20 tokens mean: 54.52 tokens max: 175 tokens	min: 21 tokens mean: 54.79 tokens max: 187 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task030_winogrande_full_person

• Dataset: task030_winogrande_full_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: 7 tokens mean: 7.6 tokens max: 12 tokens	min: 7 tokens mean: 7.48 tokens max: 12 tokens	min: 7 tokens mean: 7.37 tokens max: 11 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task1540_parsed_pdfs_summarization

• Dataset: task1540_parsed_pdfs_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: 3 tokens mean: 186.35 tokens max: 256 tokens	min: 46 tokens mean: 190.31 tokens max: 256 tokens	min: 3 tokens mean: 191.57 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task039_qasc_find_overlapping_words

• Dataset: task039_qasc_find_overlapping_words
• 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 tokens mean: 30.55 tokens max: 55 tokens	min: 16 tokens mean: 30.12 tokens max: 57 tokens	min: 16 tokens mean: 30.7 tokens max: 60 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task1206_atomic_classification_isbefore

• Dataset: task1206_atomic_classification_isbefore
• 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 tokens mean: 21.25 tokens max: 40 tokens	min: 14 tokens mean: 20.82 tokens max: 31 tokens	min: 14 tokens mean: 21.36 tokens max: 31 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task157_count_vowels_and_consonants

• Dataset: task157_count_vowels_and_consonants
• 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 tokens mean: 28.01 tokens max: 41 tokens	min: 24 tokens mean: 27.93 tokens max: 41 tokens	min: 24 tokens mean: 28.34 tokens max: 39 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task339_record_answer_generation

• Dataset: task339_record_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: 171 tokens mean: 234.34 tokens max: 256 tokens	min: 171 tokens mean: 233.74 tokens max: 256 tokens	min: 171 tokens mean: 231.83 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task453_swag_answer_generation

• Dataset: task453_swag_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 tokens mean: 18.35 tokens max: 60 tokens	min: 9 tokens mean: 18.21 tokens max: 63 tokens	min: 9 tokens mean: 17.37 tokens max: 55 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task848_pubmedqa_classification

• Dataset: task848_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: 21 tokens mean: 248.87 tokens max: 256 tokens	min: 21 tokens mean: 249.9 tokens max: 256 tokens	min: 84 tokens mean: 251.62 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task673_google_wellformed_query_classification

• Dataset: task673_google_wellformed_query_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 tokens mean: 11.6 tokens max: 27 tokens	min: 6 tokens mean: 11.2 tokens max: 24 tokens	min: 6 tokens mean: 11.34 tokens max: 22 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task676_ollie_relationship_answer_generation

• Dataset: task676_ollie_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: 29 tokens mean: 51.48 tokens max: 113 tokens	min: 29 tokens mean: 49.36 tokens max: 134 tokens	min: 30 tokens mean: 51.78 tokens max: 113 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task268_casehold_legal_answer_generation

• Dataset: task268_casehold_legal_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: 235 tokens mean: 255.94 tokens max: 256 tokens	min: 156 tokens mean: 255.47 tokens max: 256 tokens	min: 226 tokens mean: 255.94 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task844_financial_phrasebank_classification

• Dataset: task844_financial_phrasebank_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 tokens mean: 39.79 tokens max: 86 tokens	min: 13 tokens mean: 38.32 tokens max: 78 tokens	min: 15 tokens mean: 38.9 tokens max: 86 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task330_gap_answer_generation

• Dataset: task330_gap_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 tokens mean: 106.94 tokens max: 256 tokens	min: 44 tokens mean: 107.99 tokens max: 256 tokens	min: 45 tokens mean: 110.9 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task595_mocha_answer_generation

• Dataset: task595_mocha_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: 44 tokens mean: 94.34 tokens max: 178 tokens	min: 21 tokens mean: 96.76 tokens max: 256 tokens	min: 19 tokens mean: 118.67 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task1285_kpa_keypoint_matching

• Dataset: task1285_kpa_keypoint_matching
• 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 tokens mean: 52.28 tokens max: 92 tokens	min: 29 tokens mean: 50.11 tokens max: 84 tokens	min: 31 tokens mean: 53.14 tokens max: 88 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task234_iirc_passage_line_answer_generation

• Dataset: task234_iirc_passage_line_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: 143 tokens mean: 235.5 tokens max: 256 tokens	min: 155 tokens mean: 235.46 tokens max: 256 tokens	min: 146 tokens mean: 236.58 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task494_review_polarity_answer_generation

• Dataset: task494_review_polarity_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 tokens mean: 106.22 tokens max: 256 tokens	min: 23 tokens mean: 112.48 tokens max: 256 tokens	min: 20 tokens mean: 112.83 tokens max: 249 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task670_ambigqa_question_generation

• Dataset: task670_ambigqa_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: 11 tokens mean: 12.71 tokens max: 26 tokens	min: 11 tokens mean: 12.5 tokens max: 23 tokens	min: 11 tokens mean: 12.26 tokens max: 18 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

task289_gigaword_summarization

• Dataset: task289_gigaword_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: 25 tokens mean: 51.49 tokens max: 87 tokens	min: 27 tokens mean: 51.94 tokens max: 87 tokens	min: 25 tokens mean: 51.41 tokens max: 87 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

npr

• Dataset: npr
• 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 tokens mean: 12.44 tokens max: 28 tokens	min: 16 tokens mean: 149.63 tokens max: 256 tokens	min: 11 tokens mean: 112.81 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

nli

• Dataset: nli
• 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: 5 tokens mean: 21.04 tokens max: 120 tokens	min: 4 tokens mean: 11.95 tokens max: 45 tokens	min: 4 tokens mean: 12.04 tokens max: 31 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

SimpleWiki

• Dataset: SimpleWiki
• 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: 8 tokens mean: 28.83 tokens max: 115 tokens	min: 8 tokens mean: 33.2 tokens max: 158 tokens	min: 9 tokens mean: 55.53 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

amazon_review_2018

• Dataset: amazon_review_2018
• 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: 4 tokens mean: 11.48 tokens max: 33 tokens	min: 12 tokens mean: 89.18 tokens max: 256 tokens	min: 12 tokens mean: 73.14 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

ccnews_title_text

• Dataset: ccnews_title_text
• 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 tokens mean: 15.27 tokens max: 53 tokens	min: 21 tokens mean: 212.75 tokens max: 256 tokens	min: 21 tokens mean: 194.35 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

agnews

• Dataset: agnews
• Size: 44,606 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 tokens mean: 11.72 tokens max: 33 tokens	min: 10 tokens mean: 39.99 tokens max: 256 tokens	min: 10 tokens mean: 46.2 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

xsum

• Dataset: xsum
• Size: 10,140 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 tokens mean: 28.21 tokens max: 86 tokens	min: 15 tokens mean: 225.81 tokens max: 256 tokens	min: 2 tokens mean: 231.78 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

msmarco

• Dataset: msmarco
• Size: 173,354 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 tokens mean: 9.11 tokens max: 42 tokens	min: 15 tokens mean: 81.24 tokens max: 197 tokens	min: 19 tokens mean: 79.32 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

yahoo_answers_title_answer

• Dataset: yahoo_answers_title_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: 6 tokens mean: 17.38 tokens max: 109 tokens	min: 5 tokens mean: 81.62 tokens max: 256 tokens	min: 10 tokens mean: 86.67 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

squad_pairs

• Dataset: squad_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: 6 tokens mean: 14.62 tokens max: 43 tokens	min: 31 tokens mean: 153.71 tokens max: 256 tokens	min: 27 tokens mean: 162.39 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

wow

• Dataset: wow
• 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 tokens mean: 88.78 tokens max: 256 tokens	min: 100 tokens mean: 111.42 tokens max: 149 tokens	min: 70 tokens mean: 113.19 tokens max: 159 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

mteb-amazon_counterfactual-avs_triplets

• Dataset: mteb-amazon_counterfactual-avs_triplets
• Size: 4,055 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 tokens mean: 27.46 tokens max: 108 tokens	min: 12 tokens mean: 27.21 tokens max: 137 tokens	min: 12 tokens mean: 27.22 tokens max: 137 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

mteb-amazon_massive_intent-avs_triplets

• Dataset: mteb-amazon_massive_intent-avs_triplets
• Size: 11,661 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 tokens mean: 9.54 tokens max: 27 tokens	min: 3 tokens mean: 9.15 tokens max: 24 tokens	min: 3 tokens mean: 9.35 tokens max: 26 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

mteb-amazon_massive_scenario-avs_triplets

• Dataset: mteb-amazon_massive_scenario-avs_triplets
• Size: 11,661 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 tokens mean: 9.53 tokens max: 32 tokens	min: 3 tokens mean: 9.12 tokens max: 30 tokens	min: 3 tokens mean: 9.44 tokens max: 30 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

mteb-amazon_reviews_multi-avs_triplets

• Dataset: mteb-amazon_reviews_multi-avs_triplets
• Size: 198,192 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 tokens mean: 50.41 tokens max: 256 tokens	min: 6 tokens mean: 49.84 tokens max: 256 tokens	min: 8 tokens mean: 48.57 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

mteb-banking77-avs_triplets

• Dataset: mteb-banking77-avs_triplets
• Size: 10,139 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 tokens mean: 15.81 tokens max: 66 tokens	min: 5 tokens mean: 15.35 tokens max: 65 tokens	min: 4 tokens mean: 16.29 tokens max: 71 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

mteb-emotion-avs_triplets

• Dataset: mteb-emotion-avs_triplets
• Size: 16,224 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 tokens mean: 22.17 tokens max: 64 tokens	min: 5 tokens mean: 17.85 tokens max: 65 tokens	min: 5 tokens mean: 22.06 tokens max: 72 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

mteb-imdb-avs_triplets

• Dataset: mteb-imdb-avs_triplets
• Size: 24,839 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 tokens mean: 208.39 tokens max: 256 tokens	min: 48 tokens mean: 222.82 tokens max: 256 tokens	min: 24 tokens mean: 208.71 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

mteb-mtop_domain-avs_triplets

• Dataset: mteb-mtop_domain-avs_triplets
• Size: 15,715 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 tokens mean: 10.23 tokens max: 25 tokens	min: 4 tokens mean: 9.62 tokens max: 26 tokens	min: 3 tokens mean: 10.35 tokens max: 26 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

mteb-mtop_intent-avs_triplets

• Dataset: mteb-mtop_intent-avs_triplets
• Size: 15,715 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 tokens mean: 10.13 tokens max: 27 tokens	min: 3 tokens mean: 9.45 tokens max: 35 tokens	min: 3 tokens mean: 10.03 tokens max: 26 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

mteb-toxic_conversations_50k-avs_triplets

• Dataset: mteb-toxic_conversations_50k-avs_triplets
• Size: 49,677 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 tokens mean: 69.68 tokens max: 256 tokens	min: 3 tokens mean: 92.84 tokens max: 245 tokens	min: 3 tokens mean: 66.07 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

mteb-tweet_sentiment_extraction-avs_triplets

• Dataset: mteb-tweet_sentiment_extraction-avs_triplets
• Size: 27,373 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 tokens mean: 20.99 tokens max: 95 tokens	min: 2 tokens mean: 20.31 tokens max: 67 tokens	min: 3 tokens mean: 20.83 tokens max: 64 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

covid-bing-query-gpt4-avs_triplets

• Dataset: covid-bing-query-gpt4-avs_triplets
• 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: 7 tokens mean: 15.3 tokens max: 38 tokens	min: 16 tokens mean: 37.38 tokens max: 239 tokens	min: 16 tokens mean: 38.55 tokens max: 167 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

Evaluation Dataset

Unnamed Dataset

• Size: 18,269 evaluation samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 5 tokens mean: 15.71 tokens max: 61 tokens	min: 5 tokens mean: 142.42 tokens max: 256 tokens	min: 6 tokens mean: 144.64 tokens max: 256 tokens

• Loss: MultipleNegativesRankingLoss with these parameters:

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

Training Hyperparameters

Non-Default Hyperparameters

• eval_strategy: steps
• per_device_train_batch_size: 512
• per_device_eval_batch_size: 512
• learning_rate: 5.656854249492381e-05
• num_train_epochs: 10
• warmup_ratio: 0.1
• fp16: True
• gradient_checkpointing: True
• batch_sampler: no_duplicates

All Hyperparameters

Click to expand

• overwrite_output_dir: False
• do_predict: False
• eval_strategy: steps
• prediction_loss_only: True
• per_device_train_batch_size: 512
• per_device_eval_batch_size: 512
• per_gpu_train_batch_size: None
• per_gpu_eval_batch_size: None
• gradient_accumulation_steps: 1
• eval_accumulation_steps: None
• torch_empty_cache_steps: None
• learning_rate: 5.656854249492381e-05
• weight_decay: 0.0
• adam_beta1: 0.9
• adam_beta2: 0.999
• adam_epsilon: 1e-08
• max_grad_norm: 1.0
• num_train_epochs: 10
• max_steps: -1
• lr_scheduler_type: linear
• lr_scheduler_kwargs: {}
• warmup_ratio: 0.1
• warmup_steps: 0
• log_level: passive
• log_level_replica: warning
• log_on_each_node: True
• logging_nan_inf_filter: True
• save_safetensors: True
• save_on_each_node: False
• save_only_model: False
• restore_callback_states_from_checkpoint: False
• no_cuda: False
• use_cpu: False
• use_mps_device: False
• seed: 42
• data_seed: None
• jit_mode_eval: False
• use_ipex: False
• bf16: False
• fp16: True
• fp16_opt_level: O1
• half_precision_backend: auto
• bf16_full_eval: False
• fp16_full_eval: False
• tf32: None
• local_rank: 0
• ddp_backend: None
• tpu_num_cores: None
• tpu_metrics_debug: False
• debug: []
• dataloader_drop_last: False
• dataloader_num_workers: 0
• dataloader_prefetch_factor: None
• past_index: -1
• disable_tqdm: False
• remove_unused_columns: True
• label_names: None
• load_best_model_at_end: False
• ignore_data_skip: False
• fsdp: []
• fsdp_min_num_params: 0
• fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
• fsdp_transformer_layer_cls_to_wrap: None
• accelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
• deepspeed: None
• label_smoothing_factor: 0.0
• optim: adamw_torch
• optim_args: None
• adafactor: False
• group_by_length: False
• length_column_name: length
• ddp_find_unused_parameters: None
• ddp_bucket_cap_mb: None
• ddp_broadcast_buffers: False
• dataloader_pin_memory: True
• dataloader_persistent_workers: False
• skip_memory_metrics: True
• use_legacy_prediction_loop: False
• push_to_hub: False
• resume_from_checkpoint: None
• hub_model_id: None
• hub_strategy: every_save
• hub_private_repo: False
• hub_always_push: False
• gradient_checkpointing: True
• gradient_checkpointing_kwargs: None
• include_inputs_for_metrics: False
• include_for_metrics: []
• eval_do_concat_batches: True
• fp16_backend: auto
• push_to_hub_model_id: None
• push_to_hub_organization: None
• mp_parameters:
• auto_find_batch_size: False
• full_determinism: False
• torchdynamo: None
• ray_scope: last
• ddp_timeout: 1800
• torch_compile: False
• torch_compile_backend: None
• torch_compile_mode: None
• dispatch_batches: None
• split_batches: None
• include_tokens_per_second: False
• include_num_input_tokens_seen: False
• neftune_noise_alpha: None
• optim_target_modules: None
• batch_eval_metrics: False
• eval_on_start: False
• use_liger_kernel: False
• eval_use_gather_object: False
• average_tokens_across_devices: False
• prompts: None
• batch_sampler: no_duplicates
• multi_dataset_batch_sampler: proportional

Training Logs

Epoch	Step	Training Loss	Validation Loss	medi-mteb-dev_cosine_accuracy
0	0	-	-	0.8394
0.1308	500	2.671	1.1796	0.8794
0.2616	1000	1.9941	1.1051	0.8880
0.3925	1500	2.0147	1.0550	0.8926
0.5233	2000	1.7696	1.0167	0.8948
0.6541	2500	1.892	0.9942	0.8973
0.7849	3000	1.7924	1.0039	0.9000
0.9158	3500	1.8434	1.0105	0.8958
1.0466	4000	1.7597	0.9599	0.9011
1.1774	4500	1.8684	1.0748	0.9027
1.3082	5000	1.692	0.9666	0.9032
1.4390	5500	1.7115	1.0497	0.9031
1.5699	6000	1.6607	1.0262	0.9040
1.7007	6500	1.6804	0.9984	0.9052
1.8315	7000	1.6108	0.9315	0.9048
1.9623	7500	1.5806	1.0537	0.9062
2.0931	8000	1.6489	1.0271	0.9075
2.2240	8500	1.5841	1.1238	0.9078
2.3548	9000	1.6315	1.0886	0.9069
2.4856	9500	1.4484	1.0287	0.9079
2.6164	10000	1.5661	1.1722	0.9095
2.7473	10500	1.4791	1.0988	0.9090
2.8781	11000	1.5247	1.0828	0.9100
3.0089	11500	1.4124	1.0981	0.9096
3.1397	12000	1.569	1.0372	0.9111
3.2705	12500	1.4468	0.9301	0.9106
3.4014	13000	1.5556	1.0313	0.9118
3.5322	13500	1.346	1.0433	0.9078
3.6630	14000	1.4514	0.9846	0.9101
3.7938	14500	1.3815	1.1034	0.9131
3.9246	15000	1.4323	1.0120	0.9103
4.0555	15500	1.3485	0.9873	0.9117
4.1863	16000	1.4595	1.0307	0.9103
4.3171	16500	1.3718	1.1036	0.9134
4.4479	17000	1.3685	1.0405	0.9102
4.5788	17500	1.3662	1.0109	0.9112
4.7096	18000	1.3363	1.0407	0.9130
4.8404	18500	1.3321	1.0848	0.9123
4.9712	19000	1.3313	1.0468	0.9130
5.1020	19500	1.3656	0.9708	0.9121
5.2329	20000	1.3311	1.0208	0.9148
5.3637	20500	1.403	1.0025	0.9115
5.4945	21000	1.2109	1.0739	0.9131
5.6253	21500	1.3038	1.1280	0.9120
5.7561	22000	1.2577	1.0245	0.9131
5.8870	22500	1.3112	0.9378	0.9149
6.0178	23000	1.2141	1.0292	0.9126
6.1486	23500	1.3696	1.1213	0.9141
6.2794	24000	1.2436	0.9875	0.9141
6.4103	24500	1.3514	1.0064	0.9146
6.5411	25000	1.1827	1.0174	0.9117
6.6719	25500	1.2619	1.0304	0.9120
6.8027	26000	1.1997	1.0499	0.9149
6.9335	26500	1.2609	1.0160	0.9141
7.0644	27000	1.2065	1.0216	0.9140
7.1952	27500	1.2802	1.0620	0.9135
7.3260	28000	1.2501	1.0798	0.9155
7.4568	28500	1.201	1.0196	0.9142
7.5877	29000	1.2249	1.0325	0.9143
7.7185	29500	1.1867	1.0195	0.9130
7.8493	30000	1.1917	1.0016	0.9137
7.9801	30500	1.194	1.0858	0.9156
8.1109	31000	1.2351	0.9960	0.9144
8.2418	31500	1.1834	1.0464	0.9161
8.3726	32000	1.3046	1.0395	0.9145
8.5034	32500	1.106	1.0235	0.9140
8.6342	33000	1.1845	1.0615	0.9134
8.7650	33500	1.1372	1.0205	0.9146
8.8959	34000	1.2218	0.9796	0.9148
9.0267	34500	1.0983	1.0065	0.9147
9.1575	35000	1.2656	1.0339	0.9154
9.2883	35500	1.1522	1.0168	0.9154
9.4192	36000	1.2407	1.0145	0.9150
9.5500	36500	1.1091	1.0321	0.9150
9.6808	37000	1.1689	1.0270	0.9145
9.8116	37500	1.1116	1.0237	0.9148
9.9424	38000	1.1824	1.0135	0.9145

Framework Versions

• Python: 3.10.10
• Sentence Transformers: 3.4.0.dev0
• Transformers: 4.46.3
• PyTorch: 2.5.1+cu124
• Accelerate: 0.34.2
• Datasets: 2.21.0
• Tokenizers: 0.20.3

Citation

BibTeX

Sentence Transformers

@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/abs/1908.10084",
}

MultipleNegativesRankingLoss

@misc{henderson2017efficient,
    title={Efficient Natural Language Response Suggestion for Smart Reply},
    author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil},
    year={2017},
    eprint={1705.00652},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}