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.

python

from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("avsolatorio/all-MiniLM-L6-v2-MEDI-MTEB-triplet-randproj-trainableParams-512-best")
# Run inference
sentences = [
    'Does age at observation time affect the clinical presentation of mild cognitive impairment?',
    'To date, there are no published data investigating the role of age in the clinical and neuropsychological presentation of mild cognitive impairment (MCI). The aim of the study was to evaluate whether age at the time of evaluation modulates clinical, functional or cognitive profiles in MCI subjects.A total of 167 outpatients with a clinical diagnosis of MCI were consecutively enrolled and entered in the study. Clinical and demographic characteristics were carefully recorded. Each patient underwent a wide neuropsychological standardized assessment.MCI subjects were divided into 3 groups according to their age at observation time: 58 MCI patients were classified as young (≤ 69 years), 89 as old (70-79 years) and 20 as very old (≥ 80 years). The 3 groups did not differ in demographic characteristics, general cognitive functions and memory impairment. Very old MCI subjects showed a significantly greater impairment than younger MCI patients in cognitive domains involving executive functions. In particular, very old MCI patients were more frequently classified as having multiple-domain amnestic MCI.',
    'National reports indicate that morbidity and mortality from pneumonia among Thai children has decreased dramatically since the turn of the millennia; notwithstanding, pneumonia remains the leading cause of admission and death in Thai children under five years of age.To assess the burden and pattern of acute lower respiratory infection in under-fives in Thailand from the health data in 2010.Information on respiratory infection using the ICD10: J09-J22 was evaluated for the number of OPD visits, admissions, mortality, monthly incidence and co-morbidities of the mortality.73% of all OPD visits with ALRI were in under-fives: one-fourth of whom required hospitalization. Pneumonia is the leading cause of both admissions and mortality (3.22% and 11.29/100,000 population for this age group, respectively). The highest mortality was in the first year of life (39/100,000). One-fourth of the children (168/639) died within 24 hours of admission and septicemia was the most common co-morbidity.',
]
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	0.8928

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: 11.71 tokens
max: 23 tokens
min: 112 tokens
mean: 138.1 tokens
max: 210 tokens
min: 112 tokens
mean: 138.18 tokens
max: 242 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 8 tokens
mean: 23.04 tokens
max: 64 tokens
min: 78 tokens
mean: 238.96 tokens
max: 256 tokens
min: 78 tokens
mean: 241.01 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 40 tokens
min: 4 tokens
mean: 14.04 tokens
max: 40 tokens
min: 4 tokens
mean: 15.66 tokens
max: 56 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 15 tokens
mean: 202.31 tokens
max: 256 tokens
min: 26 tokens
mean: 207.1 tokens
max: 256 tokens
min: 22 tokens
mean: 202.05 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 12.09 tokens
max: 49 tokens
min: 96 tokens
mean: 112.41 tokens
max: 148 tokens
min: 39 tokens
mean: 113.45 tokens
max: 146 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 11.89 tokens
max: 26 tokens
min: 15 tokens
mean: 60.48 tokens
max: 165 tokens
min: 15 tokens
mean: 63.37 tokens
max: 149 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 4 tokens
mean: 28.49 tokens
max: 101 tokens
min: 28 tokens
mean: 130.64 tokens
max: 256 tokens
min: 27 tokens
mean: 163.87 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 3 tokens
mean: 7.92 tokens
max: 22 tokens
min: 4 tokens
mean: 45.33 tokens
max: 87 tokens
min: 11 tokens
mean: 36.72 tokens
max: 79 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 12.83 tokens
max: 46 tokens
min: 6 tokens
mean: 12.74 tokens
max: 32 tokens
min: 7 tokens
mean: 13.13 tokens
max: 32 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 20.17 tokens
max: 68 tokens
min: 11 tokens
mean: 98.53 tokens
max: 251 tokens
min: 14 tokens
mean: 109.33 tokens
max: 255 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 23.41 tokens
max: 256 tokens
min: 17 tokens
mean: 52.46 tokens
max: 256 tokens
min: 15 tokens
mean: 62.82 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

medmcqa

Dataset: medmcqa
Size: 29,908 training samples
Columns: anchor, positive, and negative
Approximate statistics based on the first 1000 samples:
anchor positive negative
type string string string
details
min: 4 tokens
mean: 20.64 tokens
max: 183 tokens
min: 3 tokens
mean: 112.23 tokens
max: 256 tokens
min: 3 tokens
mean: 110.2 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 8.73 tokens
max: 20 tokens
min: 10 tokens
mean: 113.96 tokens
max: 188 tokens
min: 20 tokens
mean: 116.33 tokens
max: 206 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 19.47 tokens
max: 78 tokens
min: 15 tokens
mean: 244.11 tokens
max: 256 tokens
min: 45 tokens
mean: 233.35 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 12.5 tokens
max: 22 tokens
min: 111 tokens
mean: 136.59 tokens
max: 232 tokens
min: 108 tokens
mean: 135.77 tokens
max: 254 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 15 tokens
mean: 148.45 tokens
max: 256 tokens
min: 19 tokens
mean: 141.16 tokens
max: 256 tokens
min: 21 tokens
mean: 204.61 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 9.51 tokens
max: 24 tokens
min: 18 tokens
mean: 102.58 tokens
max: 199 tokens
min: 8 tokens
mean: 117.08 tokens
max: 252 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 6 tokens
mean: 15.89 tokens
max: 42 tokens
min: 6 tokens
mean: 15.95 tokens
max: 59 tokens
min: 7 tokens
mean: 16.85 tokens
max: 52 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

hotpotqa

Dataset: hotpotqa
Size: 40,048 training samples
Columns: anchor, positive, and negative
Approximate statistics based on the first 1000 samples:
anchor positive negative
type string string string
details
min: 8 tokens
mean: 24.1 tokens
max: 97 tokens
min: 24 tokens
mean: 114.27 tokens
max: 194 tokens
min: 38 tokens
mean: 114.9 tokens
max: 163 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 12.51 tokens
max: 23 tokens
min: 11 tokens
mean: 12.23 tokens
max: 19 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 209.98 tokens
max: 256 tokens
min: 117 tokens
mean: 209.4 tokens
max: 256 tokens
min: 119 tokens
mean: 211.15 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 210.14 tokens
max: 256 tokens
min: 49 tokens
mean: 204.2 tokens
max: 256 tokens
min: 46 tokens
mean: 210.14 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 42.09 tokens
max: 164 tokens
min: 13 tokens
mean: 41.11 tokens
max: 198 tokens
min: 13 tokens
mean: 32.49 tokens
max: 135 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 27.71 tokens
max: 48 tokens
min: 19 tokens
mean: 27.2 tokens
max: 44 tokens
min: 20 tokens
mean: 27.46 tokens
max: 47 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 30.05 tokens
max: 72 tokens
min: 16 tokens
mean: 28.91 tokens
max: 60 tokens
min: 17 tokens
mean: 30.35 tokens
max: 100 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 18.6 tokens
max: 53 tokens
min: 8 tokens
mean: 16.99 tokens
max: 53 tokens
min: 8 tokens
mean: 16.95 tokens
max: 51 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 11.33 tokens
max: 37 tokens
min: 3 tokens
mean: 10.57 tokens
max: 38 tokens
min: 5 tokens
mean: 16.3 tokens
max: 45 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 59.9 tokens
max: 256 tokens
min: 12 tokens
mean: 59.93 tokens
max: 256 tokens
min: 15 tokens
mean: 59.53 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 17.53 tokens
max: 70 tokens
min: 7 tokens
mean: 17.14 tokens
max: 43 tokens
min: 6 tokens
mean: 16.64 tokens
max: 75 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 57.28 tokens
max: 179 tokens
min: 16 tokens
mean: 60.06 tokens
max: 153 tokens
min: 14 tokens
mean: 60.86 tokens
max: 169 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 79.5 tokens
max: 159 tokens
min: 34 tokens
mean: 80.37 tokens
max: 165 tokens
min: 35 tokens
mean: 79.12 tokens
max: 161 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 20.35 tokens
max: 88 tokens
min: 8 tokens
mean: 18.19 tokens
max: 62 tokens
min: 8 tokens
mean: 18.97 tokens
max: 69 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 32.08 tokens
max: 64 tokens
min: 17 tokens
mean: 32.16 tokens
max: 70 tokens
min: 17 tokens
mean: 31.46 tokens
max: 68 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 52.87 tokens
max: 79 tokens
min: 37 tokens
mean: 52.37 tokens
max: 78 tokens
min: 37 tokens
mean: 52.9 tokens
max: 82 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 240.42 tokens
max: 256 tokens
min: 84 tokens
mean: 239.24 tokens
max: 256 tokens
min: 97 tokens
mean: 244.97 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 140.96 tokens
max: 256 tokens
min: 31 tokens
mean: 143.02 tokens
max: 256 tokens
min: 31 tokens
mean: 143.05 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 33.31 tokens
max: 79 tokens
min: 10 tokens
mean: 31.57 tokens
max: 75 tokens
min: 13 tokens
mean: 31.95 tokens
max: 71 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 43.1 tokens
max: 152 tokens
min: 7 tokens
mean: 46.41 tokens
max: 152 tokens
min: 8 tokens
mean: 43.21 tokens
max: 152 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 52.12 tokens
max: 136 tokens
min: 18 tokens
mean: 52.0 tokens
max: 144 tokens
min: 22 tokens
mean: 51.83 tokens
max: 114 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 41.82 tokens
max: 116 tokens
min: 14 tokens
mean: 44.25 tokens
max: 133 tokens
min: 12 tokens
mean: 40.06 tokens
max: 141 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 26.86 tokens
max: 56 tokens
min: 16 tokens
mean: 26.12 tokens
max: 47 tokens
min: 16 tokens
mean: 26.47 tokens
max: 55 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 28.54 tokens
max: 72 tokens
min: 5 tokens
mean: 24.17 tokens
max: 86 tokens
min: 5 tokens
mean: 27.82 tokens
max: 67 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 30.04 tokens
max: 68 tokens
min: 10 tokens
mean: 30.29 tokens
max: 61 tokens
min: 14 tokens
mean: 30.12 tokens
max: 68 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 226.45 tokens
max: 256 tokens
min: 50 tokens
mean: 229.89 tokens
max: 256 tokens
min: 34 tokens
mean: 229.39 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 168.37 tokens
max: 256 tokens
min: 45 tokens
mean: 172.89 tokens
max: 256 tokens
min: 46 tokens
mean: 179.71 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 242.71 tokens
max: 256 tokens
min: 90 tokens
mean: 246.94 tokens
max: 256 tokens
min: 86 tokens
mean: 244.51 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 35.47 tokens
max: 78 tokens
min: 22 tokens
mean: 34.41 tokens
max: 59 tokens
min: 22 tokens
mean: 34.61 tokens
max: 57 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 36.38 tokens
max: 80 tokens
min: 18 tokens
mean: 36.58 tokens
max: 92 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 135.28 tokens
max: 256 tokens
min: 15 tokens
mean: 139.82 tokens
max: 256 tokens
min: 17 tokens
mean: 133.82 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 55.94 tokens
max: 91 tokens
min: 29 tokens
mean: 56.5 tokens
max: 92 tokens
min: 25 tokens
mean: 55.99 tokens
max: 81 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 80.9 tokens
max: 163 tokens
min: 12 tokens
mean: 95.59 tokens
max: 256 tokens
min: 10 tokens
mean: 45.48 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 14.86 tokens
max: 74 tokens
min: 6 tokens
mean: 14.03 tokens
max: 37 tokens
min: 6 tokens
mean: 14.27 tokens
max: 38 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 18.72 tokens
max: 30 tokens
min: 10 tokens
mean: 18.41 tokens
max: 33 tokens
min: 10 tokens
mean: 18.27 tokens
max: 30 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 124.09 tokens
max: 256 tokens
min: 62 tokens
mean: 127.17 tokens
max: 256 tokens
min: 58 tokens
mean: 128.23 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 80.78 tokens
max: 116 tokens
min: 51 tokens
mean: 81.11 tokens
max: 108 tokens
min: 55 tokens
mean: 79.77 tokens
max: 115 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 19.81 tokens
max: 51 tokens
min: 7 tokens
mean: 18.27 tokens
max: 41 tokens
min: 7 tokens
mean: 19.89 tokens
max: 52 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 24.48 tokens
max: 42 tokens
min: 15 tokens
mean: 24.18 tokens
max: 41 tokens
min: 15 tokens
mean: 24.11 tokens
max: 38 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 43.94 tokens
max: 142 tokens
min: 12 tokens
mean: 43.34 tokens
max: 197 tokens
min: 12 tokens
mean: 44.92 tokens
max: 197 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 152.91 tokens
max: 256 tokens
min: 38 tokens
mean: 161.79 tokens
max: 256 tokens
min: 33 tokens
mean: 165.76 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 252.67 tokens
max: 256 tokens
min: 169 tokens
mean: 252.72 tokens
max: 256 tokens
min: 178 tokens
mean: 252.85 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 126.36 tokens
max: 256 tokens
min: 15 tokens
mean: 131.22 tokens
max: 256 tokens
min: 16 tokens
mean: 135.78 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 55.05 tokens
max: 256 tokens
min: 6 tokens
mean: 61.68 tokens
max: 249 tokens
min: 6 tokens
mean: 62.41 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 45.45 tokens
max: 92 tokens
min: 25 tokens
mean: 45.19 tokens
max: 95 tokens
min: 25 tokens
mean: 44.63 tokens
max: 88 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 31.21 tokens
max: 102 tokens
min: 18 tokens
mean: 30.15 tokens
max: 65 tokens
min: 18 tokens
mean: 32.22 tokens
max: 67 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 36.32 tokens
max: 53 tokens
min: 29 tokens
mean: 35.64 tokens
max: 54 tokens
min: 29 tokens
mean: 34.88 tokens
max: 55 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 31.79 tokens
max: 41 tokens
min: 29 tokens
mean: 31.8 tokens
max: 48 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 181.76 tokens
max: 256 tokens
min: 25 tokens
mean: 180.19 tokens
max: 256 tokens
min: 27 tokens
mean: 183.6 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 54.89 tokens
max: 76 tokens
min: 36 tokens
mean: 55.95 tokens
max: 76 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 253.18 tokens
max: 256 tokens
min: 36 tokens
mean: 252.72 tokens
max: 256 tokens
min: 157 tokens
mean: 254.02 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 128.27 tokens
max: 256 tokens
min: 13 tokens
mean: 134.62 tokens
max: 256 tokens
min: 16 tokens
mean: 143.48 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 30.02 tokens
max: 68 tokens
min: 10 tokens
mean: 30.42 tokens
max: 64 tokens
min: 14 tokens
mean: 29.93 tokens
max: 68 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 92.81 tokens
max: 176 tokens
min: 47 tokens
mean: 93.1 tokens
max: 174 tokens
min: 42 tokens
mean: 95.01 tokens
max: 183 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 40.38 tokens
max: 120 tokens
min: 12 tokens
mean: 39.61 tokens
max: 186 tokens
min: 12 tokens
mean: 40.57 tokens
max: 148 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 66.89 tokens
max: 93 tokens
min: 43 tokens
mean: 67.48 tokens
max: 94 tokens
min: 45 tokens
mean: 66.99 tokens
max: 92 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 13.8 tokens
max: 21 tokens
min: 7 tokens
mean: 13.79 tokens
max: 21 tokens
min: 7 tokens
mean: 13.35 tokens
max: 20 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 242.92 tokens
max: 256 tokens
min: 120 tokens
mean: 246.53 tokens
max: 256 tokens
min: 99 tokens
mean: 246.46 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 230.81 tokens
max: 256 tokens
min: 86 tokens
mean: 234.29 tokens
max: 256 tokens
min: 81 tokens
mean: 235.98 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 16.49 tokens
max: 28 tokens
min: 11 tokens
mean: 16.67 tokens
max: 28 tokens
min: 9 tokens
mean: 16.72 tokens
max: 27 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 164.7 tokens
max: 256 tokens
min: 54 tokens
mean: 166.14 tokens
max: 256 tokens
min: 48 tokens
mean: 166.55 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 72.86 tokens
max: 218 tokens
min: 25 tokens
mean: 73.48 tokens
max: 170 tokens
min: 27 tokens
mean: 72.6 tokens
max: 205 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 31.31 tokens
max: 57 tokens
min: 19 tokens
mean: 30.55 tokens
max: 53 tokens
min: 18 tokens
mean: 30.95 tokens
max: 53 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 40.02 tokens
max: 86 tokens
min: 15 tokens
mean: 39.94 tokens
max: 86 tokens
min: 14 tokens
mean: 37.74 tokens
max: 86 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 114.03 tokens
max: 256 tokens
min: 24 tokens
mean: 119.53 tokens
max: 256 tokens
min: 24 tokens
mean: 123.87 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 18.08 tokens
max: 78 tokens
min: 7 tokens
mean: 17.04 tokens
max: 59 tokens
min: 7 tokens
mean: 18.39 tokens
max: 67 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 42.28 tokens
max: 70 tokens
min: 29 tokens
mean: 41.61 tokens
max: 74 tokens
min: 28 tokens
mean: 41.8 tokens
max: 75 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 17.18 tokens
max: 39 tokens
min: 8 tokens
mean: 15.69 tokens
max: 38 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 255.68 tokens
max: 256 tokens
min: 146 tokens
mean: 255.51 tokens
max: 256 tokens
min: 68 tokens
mean: 251.22 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 27.02 tokens
max: 56 tokens
min: 23 tokens
mean: 26.8 tokens
max: 43 tokens
min: 23 tokens
mean: 26.95 tokens
max: 46 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 7.42 tokens
max: 11 tokens
min: 7 tokens
mean: 7.3 tokens
max: 11 tokens
min: 7 tokens
mean: 7.25 tokens
max: 11 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 17.88 tokens
max: 41 tokens
min: 8 tokens
mean: 15.59 tokens
max: 43 tokens
min: 8 tokens
mean: 17.39 tokens
max: 50 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 9.62 tokens
max: 17 tokens
min: 6 tokens
mean: 9.61 tokens
max: 16 tokens
min: 6 tokens
mean: 9.69 tokens
max: 16 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 29.67 tokens
max: 94 tokens
min: 12 tokens
mean: 28.67 tokens
max: 94 tokens
min: 12 tokens
mean: 28.66 tokens
max: 86 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 47.97 tokens
max: 106 tokens
min: 28 tokens
mean: 45.56 tokens
max: 116 tokens
min: 26 tokens
mean: 45.94 tokens
max: 123 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 39.76 tokens
max: 126 tokens
min: 8 tokens
mean: 39.7 tokens
max: 126 tokens
min: 8 tokens
mean: 35.84 tokens
max: 111 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 20.62 tokens
max: 46 tokens
min: 11 tokens
mean: 18.62 tokens
max: 41 tokens
min: 11 tokens
mean: 19.5 tokens
max: 46 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 170.64 tokens
max: 256 tokens
min: 11 tokens
mean: 173.45 tokens
max: 256 tokens
min: 14 tokens
mean: 178.8 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 223.37 tokens
max: 256 tokens
min: 76 tokens
mean: 220.5 tokens
max: 256 tokens
min: 64 tokens
mean: 219.95 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 10.08 tokens
max: 16 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 248.7 tokens
max: 256 tokens
min: 21 tokens
mean: 248.9 tokens
max: 256 tokens
min: 43 tokens
mean: 249.07 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 40.91 tokens
max: 95 tokens
min: 19 tokens
mean: 37.92 tokens
max: 102 tokens
min: 18 tokens
mean: 41.17 tokens
max: 104 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 62.83 tokens
max: 95 tokens
min: 36 tokens
mean: 62.28 tokens
max: 94 tokens
min: 37 tokens
mean: 62.97 tokens
max: 95 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 13.5 tokens
max: 43 tokens
min: 4 tokens
mean: 12.3 tokens
max: 42 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 31.82 tokens
max: 60 tokens
min: 18 tokens
mean: 30.72 tokens
max: 57 tokens
min: 18 tokens
mean: 33.21 tokens
max: 105 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 218.54 tokens
max: 256 tokens
min: 57 tokens
mean: 222.32 tokens
max: 256 tokens
min: 96 tokens
mean: 231.71 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 32.2 tokens
max: 56 tokens
min: 28 tokens
mean: 31.75 tokens
max: 45 tokens
min: 28 tokens
mean: 31.64 tokens
max: 46 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 39.8 tokens
max: 76 tokens
min: 11 tokens
mean: 34.28 tokens
max: 80 tokens
min: 11 tokens
mean: 33.76 tokens
max: 76 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 19.76 tokens
max: 62 tokens
min: 4 tokens
mean: 20.59 tokens
max: 62 tokens
min: 4 tokens
mean: 14.27 tokens
max: 54 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 25.4 tokens
max: 70 tokens
min: 16 tokens
mean: 24.95 tokens
max: 70 tokens
min: 16 tokens
mean: 25.16 tokens
max: 57 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 43.75 tokens
max: 197 tokens
min: 12 tokens
mean: 44.72 tokens
max: 211 tokens
min: 11 tokens
mean: 39.25 tokens
max: 115 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 50.55 tokens
max: 256 tokens
min: 20 tokens
mean: 49.22 tokens
max: 180 tokens
min: 22 tokens
mean: 54.12 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 15.37 tokens
max: 34 tokens
min: 7 tokens
mean: 16.19 tokens
max: 34 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 15.7 tokens
max: 30 tokens
min: 7 tokens
mean: 15.38 tokens
max: 27 tokens
min: 7 tokens
mean: 15.25 tokens
max: 30 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 127.96 tokens
max: 256 tokens
min: 24 tokens
mean: 138.26 tokens
max: 256 tokens
min: 22 tokens
mean: 134.16 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 34.88 tokens
max: 157 tokens
min: 8 tokens
mean: 34.52 tokens
max: 256 tokens
min: 5 tokens
mean: 27.95 tokens
max: 148 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 125.77 tokens
max: 256 tokens
min: 35 tokens
mean: 124.15 tokens
max: 256 tokens
min: 33 tokens
mean: 134.39 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 52.03 tokens
max: 86 tokens
min: 33 tokens
mean: 52.03 tokens
max: 95 tokens
min: 33 tokens
mean: 51.95 tokens
max: 95 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 144.57 tokens
max: 256 tokens
min: 57 tokens
mean: 144.22 tokens
max: 256 tokens
min: 66 tokens
mean: 147.74 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 30.17 tokens
max: 69 tokens
min: 16 tokens
mean: 29.95 tokens
max: 104 tokens
min: 17 tokens
mean: 29.32 tokens
max: 71 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 67.88 tokens
max: 106 tokens
min: 39 tokens
mean: 67.34 tokens
max: 104 tokens
min: 39 tokens
mean: 68.67 tokens
max: 107 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 18.29 tokens
max: 53 tokens
min: 7 tokens
mean: 17.57 tokens
max: 46 tokens
min: 7 tokens
mean: 15.9 tokens
max: 54 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 69.86 tokens
max: 194 tokens
min: 32 tokens
mean: 68.11 tokens
max: 194 tokens
min: 28 tokens
mean: 68.0 tokens
max: 165 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 36.4 tokens
max: 234 tokens
min: 5 tokens
mean: 40.32 tokens
max: 256 tokens
min: 5 tokens
mean: 45.1 tokens
max: 244 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 28.82 tokens
max: 73 tokens
min: 5 tokens
mean: 26.85 tokens
max: 110 tokens
min: 5 tokens
mean: 27.32 tokens
max: 90 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 51.7 tokens
max: 247 tokens
min: 5 tokens
mean: 61.17 tokens
max: 256 tokens
min: 5 tokens
mean: 65.13 tokens
max: 249 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 121.04 tokens
max: 256 tokens
min: 12 tokens
mean: 121.67 tokens
max: 256 tokens
min: 11 tokens
mean: 135.0 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 24.76 tokens
max: 114 tokens
min: 9 tokens
mean: 24.16 tokens
max: 114 tokens
min: 8 tokens
mean: 23.87 tokens
max: 84 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 59.48 tokens
max: 83 tokens
min: 36 tokens
mean: 58.28 tokens
max: 92 tokens
min: 39 tokens
mean: 58.08 tokens
max: 95 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 46.6 tokens
max: 256 tokens
min: 14 tokens
mean: 45.21 tokens
max: 256 tokens
min: 18 tokens
mean: 49.62 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 9.67 tokens
max: 16 tokens
min: 6 tokens
mean: 9.69 tokens
max: 16 tokens
min: 6 tokens
mean: 9.56 tokens
max: 17 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 146.32 tokens
max: 256 tokens
min: 43 tokens
mean: 142.17 tokens
max: 256 tokens
min: 50 tokens
mean: 144.27 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 19.54 tokens
max: 32 tokens
min: 14 tokens
mean: 19.38 tokens
max: 31 tokens
min: 14 tokens
mean: 19.21 tokens
max: 28 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 52.28 tokens
max: 97 tokens
min: 18 tokens
mean: 51.8 tokens
max: 98 tokens
min: 19 tokens
mean: 52.98 tokens
max: 97 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 229.78 tokens
max: 256 tokens
min: 12 tokens
mean: 236.41 tokens
max: 256 tokens
min: 23 tokens
mean: 234.87 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 15.08 tokens
max: 48 tokens
min: 10 tokens
mean: 15.06 tokens
max: 47 tokens
min: 10 tokens
mean: 15.37 tokens
max: 47 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 72.59 tokens
max: 108 tokens
min: 48 tokens
mean: 72.73 tokens
max: 109 tokens
min: 46 tokens
mean: 73.12 tokens
max: 108 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 73.08 tokens
max: 198 tokens
min: 23 tokens
mean: 73.05 tokens
max: 224 tokens
min: 23 tokens
mean: 74.43 tokens
max: 226 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 149.74 tokens
max: 256 tokens
min: 33 tokens
mean: 160.23 tokens
max: 256 tokens
min: 38 tokens
mean: 164.37 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 26.49 tokens
max: 69 tokens
min: 14 tokens
mean: 25.54 tokens
max: 48 tokens
min: 15 tokens
mean: 25.85 tokens
max: 48 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 33.88 tokens
max: 79 tokens
min: 19 tokens
mean: 33.55 tokens
max: 74 tokens
min: 20 tokens
mean: 33.46 tokens
max: 77 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 19.12 tokens
max: 125 tokens
min: 8 tokens
mean: 17.43 tokens
max: 49 tokens
min: 8 tokens
mean: 17.43 tokens
max: 79 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 59.49 tokens
max: 147 tokens
min: 22 tokens
mean: 62.01 tokens
max: 154 tokens
min: 20 tokens
mean: 48.73 tokens
max: 124 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 81.68 tokens
max: 181 tokens
min: 42 tokens
mean: 80.36 tokens
max: 179 tokens
min: 42 tokens
mean: 77.26 tokens
max: 166 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 241.53 tokens
max: 256 tokens
min: 69 tokens
mean: 243.94 tokens
max: 256 tokens
min: 67 tokens
mean: 246.7 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 109.9 tokens
max: 196 tokens
min: 42 tokens
mean: 110.53 tokens
max: 195 tokens
min: 48 tokens
mean: 110.49 tokens
max: 196 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 198.58 tokens
max: 256 tokens
min: 145 tokens
mean: 197.03 tokens
max: 256 tokens
min: 147 tokens
mean: 198.97 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 129.99 tokens
max: 256 tokens
min: 15 tokens
mean: 136.76 tokens
max: 256 tokens
min: 17 tokens
mean: 137.16 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 255.53 tokens
max: 256 tokens
min: 214 tokens
mean: 255.54 tokens
max: 256 tokens
min: 224 tokens
mean: 255.61 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 84.49 tokens
max: 134 tokens
min: 59 tokens
mean: 85.28 tokens
max: 130 tokens
min: 58 tokens
mean: 84.71 tokens
max: 125 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 27.68 tokens
max: 59 tokens
min: 9 tokens
mean: 27.44 tokens
max: 45 tokens
min: 11 tokens
mean: 27.4 tokens
max: 46 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 54.92 tokens
max: 256 tokens
min: 23 tokens
mean: 52.19 tokens
max: 256 tokens
min: 27 tokens
mean: 55.49 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 64.91 tokens
max: 256 tokens
min: 5 tokens
mean: 77.08 tokens
max: 256 tokens
min: 5 tokens
mean: 73.33 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 124.36 tokens
max: 245 tokens
min: 13 tokens
mean: 122.96 tokens
max: 244 tokens
min: 13 tokens
mean: 120.44 tokens
max: 238 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 73.79 tokens
max: 250 tokens
min: 5 tokens
mean: 73.14 tokens
max: 256 tokens
min: 8 tokens
mean: 75.44 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 67.51 tokens
max: 174 tokens
min: 18 tokens
mean: 72.48 tokens
max: 170 tokens
min: 17 tokens
mean: 67.5 tokens
max: 164 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 109.3 tokens
max: 256 tokens
min: 16 tokens
mean: 115.37 tokens
max: 256 tokens
min: 18 tokens
mean: 119.87 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 86.1 tokens
max: 246 tokens
min: 33 tokens
mean: 85.6 tokens
max: 225 tokens
min: 28 tokens
mean: 94.58 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 52.91 tokens
max: 256 tokens
min: 7 tokens
mean: 56.44 tokens
max: 256 tokens
min: 7 tokens
mean: 63.13 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 22.19 tokens
max: 50 tokens
min: 8 tokens
mean: 22.07 tokens
max: 58 tokens
min: 7 tokens
mean: 22.2 tokens
max: 55 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 23.08 tokens
max: 75 tokens
min: 4 tokens
mean: 18.33 tokens
max: 63 tokens
min: 5 tokens
mean: 20.47 tokens
max: 68 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 19.63 tokens
max: 32 tokens
min: 14 tokens
mean: 19.4 tokens
max: 29 tokens
min: 14 tokens
mean: 19.51 tokens
max: 31 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 30.04 tokens
max: 70 tokens
min: 14 tokens
mean: 28.91 tokens
max: 86 tokens
min: 14 tokens
mean: 28.7 tokens
max: 58 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 242.46 tokens
max: 256 tokens
min: 165 tokens
mean: 242.6 tokens
max: 256 tokens
min: 173 tokens
mean: 242.93 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 31.65 tokens
max: 54 tokens
min: 26 tokens
mean: 31.32 tokens
max: 48 tokens
min: 25 tokens
mean: 31.17 tokens
max: 49 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 22.63 tokens
max: 118 tokens
min: 4 tokens
mean: 18.82 tokens
max: 79 tokens
min: 5 tokens
mean: 21.21 tokens
max: 51 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 31.96 tokens
max: 54 tokens
min: 28 tokens
mean: 31.69 tokens
max: 57 tokens
min: 28 tokens
mean: 31.57 tokens
max: 43 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 54.09 tokens
max: 132 tokens
min: 36 tokens
mean: 53.52 tokens
max: 103 tokens
min: 40 tokens
mean: 54.13 tokens
max: 84 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 193.28 tokens
max: 256 tokens
min: 55 tokens
mean: 193.71 tokens
max: 256 tokens
min: 37 tokens
mean: 198.47 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 23.73 tokens
max: 112 tokens
min: 12 tokens
mean: 24.21 tokens
max: 112 tokens
min: 12 tokens
mean: 22.49 tokens
max: 120 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 68.11 tokens
max: 108 tokens
min: 36 tokens
mean: 68.73 tokens
max: 99 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 67.62 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:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 57.88 tokens
max: 110 tokens
min: 28 tokens
mean: 57.34 tokens
max: 111 tokens
min: 28 tokens
mean: 56.87 tokens
max: 102 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 80.56 tokens
max: 143 tokens
min: 51 tokens
mean: 82.37 tokens
max: 157 tokens
min: 49 tokens
mean: 79.02 tokens
max: 145 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 211.09 tokens
max: 256 tokens
min: 139 tokens
mean: 209.95 tokens
max: 256 tokens
min: 143 tokens
mean: 209.51 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 242.83 tokens
max: 256 tokens
min: 101 tokens
mean: 242.25 tokens
max: 256 tokens
min: 113 tokens
mean: 251.51 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 19.78 tokens
max: 36 tokens
min: 7 tokens
mean: 19.1 tokens
max: 38 tokens
min: 7 tokens
mean: 19.03 tokens
max: 35 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 28.16 tokens
max: 46 tokens
min: 18 tokens
mean: 27.76 tokens
max: 45 tokens
min: 19 tokens
mean: 27.69 tokens
max: 45 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 22.14 tokens
max: 35 tokens
min: 14 tokens
mean: 22.16 tokens
max: 34 tokens
min: 14 tokens
mean: 21.41 tokens
max: 38 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 241.57 tokens
max: 256 tokens
min: 127 tokens
mean: 241.84 tokens
max: 256 tokens
min: 136 tokens
mean: 241.87 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 27.73 tokens
max: 47 tokens
min: 10 tokens
mean: 27.18 tokens
max: 46 tokens
min: 11 tokens
mean: 27.69 tokens
max: 47 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 39.55 tokens
max: 85 tokens
min: 23 tokens
mean: 39.05 tokens
max: 96 tokens
min: 22 tokens
mean: 38.29 tokens
max: 89 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 50.39 tokens
max: 67 tokens
min: 44 tokens
mean: 50.37 tokens
max: 67 tokens
min: 44 tokens
mean: 50.63 tokens
max: 66 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 50.75 tokens
max: 79 tokens
min: 37 tokens
mean: 50.32 tokens
max: 74 tokens
min: 37 tokens
mean: 50.52 tokens
max: 74 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 66.91 tokens
max: 248 tokens
min: 5 tokens
mean: 77.97 tokens
max: 248 tokens
min: 6 tokens
mean: 75.91 tokens
max: 251 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 22.08 tokens
max: 50 tokens
min: 13 tokens
mean: 22.06 tokens
max: 42 tokens
min: 13 tokens
mean: 21.88 tokens
max: 40 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 229.05 tokens
max: 256 tokens
min: 74 tokens
mean: 230.6 tokens
max: 256 tokens
min: 71 tokens
mean: 232.4 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 10.0 tokens
max: 18 tokens
min: 6 tokens
mean: 10.03 tokens
max: 19 tokens
min: 6 tokens
mean: 10.04 tokens
max: 18 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 18.46 tokens
max: 25 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 251.81 tokens
max: 256 tokens
min: 147 tokens
mean: 252.11 tokens
max: 256 tokens
min: 148 tokens
mean: 251.8 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 27.93 tokens
max: 199 tokens
min: 4 tokens
mean: 27.24 tokens
max: 205 tokens
min: 5 tokens
mean: 30.17 tokens
max: 194 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 80.64 tokens
max: 256 tokens
min: 14 tokens
mean: 81.97 tokens
max: 256 tokens
min: 15 tokens
mean: 88.14 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 19.81 tokens
max: 40 tokens
min: 2 tokens
mean: 20.09 tokens
max: 44 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 79.52 tokens
max: 117 tokens
min: 51 tokens
mean: 79.21 tokens
max: 110 tokens
min: 53 tokens
mean: 79.98 tokens
max: 110 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 21.68 tokens
max: 31 tokens
min: 16 tokens
mean: 21.8 tokens
max: 30 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 52.42 tokens
max: 107 tokens
min: 35 tokens
mean: 51.03 tokens
max: 86 tokens
min: 35 tokens
mean: 51.0 tokens
max: 87 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 40.85 tokens
max: 185 tokens
min: 12 tokens
mean: 39.99 tokens
max: 185 tokens
min: 12 tokens
mean: 40.53 tokens
max: 185 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 73.74 tokens
max: 190 tokens
min: 28 tokens
mean: 76.42 tokens
max: 256 tokens
min: 23 tokens
mean: 74.62 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 73.05 tokens
max: 105 tokens
min: 48 tokens
mean: 73.26 tokens
max: 100 tokens
min: 49 tokens
mean: 71.89 tokens
max: 102 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 226.62 tokens
max: 256 tokens
min: 47 tokens
mean: 233.0 tokens
max: 256 tokens
min: 47 tokens
mean: 232.35 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 26.62 tokens
max: 40 tokens
min: 14 tokens
mean: 26.06 tokens
max: 42 tokens
min: 15 tokens
mean: 26.29 tokens
max: 38 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 12.34 tokens
max: 33 tokens
min: 5 tokens
mean: 12.2 tokens
max: 33 tokens
min: 6 tokens
mean: 12.08 tokens
max: 29 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 33.05 tokens
max: 145 tokens
min: 5 tokens
mean: 30.8 tokens
max: 171 tokens
min: 5 tokens
mean: 30.76 tokens
max: 169 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 31.66 tokens
max: 79 tokens
min: 18 tokens
mean: 31.29 tokens
max: 84 tokens
min: 18 tokens
mean: 32.99 tokens
max: 84 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 31.48 tokens
max: 68 tokens
min: 13 tokens
mean: 31.82 tokens
max: 68 tokens
min: 13 tokens
mean: 28.99 tokens
max: 96 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 14.63 tokens
max: 29 tokens
min: 7 tokens
mean: 14.44 tokens
max: 27 tokens
min: 6 tokens
mean: 14.11 tokens
max: 29 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 36.08 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:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 69.94 tokens
max: 177 tokens
min: 30 tokens
mean: 68.78 tokens
max: 146 tokens
min: 33 tokens
mean: 69.12 tokens
max: 160 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 176.04 tokens
max: 256 tokens
min: 57 tokens
mean: 176.36 tokens
max: 256 tokens
min: 53 tokens
mean: 176.04 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 176.09 tokens
max: 253 tokens
min: 126 tokens
mean: 175.75 tokens
max: 249 tokens
min: 128 tokens
mean: 177.64 tokens
max: 254 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 38.41 tokens
max: 117 tokens
min: 7 tokens
mean: 36.74 tokens
max: 109 tokens
min: 7 tokens
mean: 36.6 tokens
max: 113 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 52.74 tokens
max: 256 tokens
min: 12 tokens
mean: 50.25 tokens
max: 256 tokens
min: 12 tokens
mean: 55.92 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 16.71 tokens
max: 38 tokens
min: 7 tokens
mean: 25.82 tokens
max: 68 tokens
min: 7 tokens
mean: 24.32 tokens
max: 59 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 31.59 tokens
max: 101 tokens
min: 13 tokens
mean: 30.7 tokens
max: 94 tokens
min: 12 tokens
mean: 32.77 tokens
max: 89 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 36.21 tokens
max: 50 tokens
min: 31 tokens
mean: 35.76 tokens
max: 55 tokens
min: 31 tokens
mean: 35.42 tokens
max: 48 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 239.56 tokens
max: 256 tokens
min: 58 tokens
mean: 240.66 tokens
max: 256 tokens
min: 64 tokens
mean: 248.39 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 43.98 tokens
max: 156 tokens
min: 12 tokens
mean: 42.62 tokens
max: 129 tokens
min: 11 tokens
mean: 43.12 tokens
max: 133 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 253.01 tokens
max: 256 tokens
min: 195 tokens
mean: 252.96 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 133.6 tokens
max: 256 tokens
min: 26 tokens
mean: 138.07 tokens
max: 256 tokens
min: 27 tokens
mean: 137.68 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 32.81 tokens
max: 146 tokens
min: 14 tokens
mean: 31.83 tokens
max: 146 tokens
min: 14 tokens
mean: 32.96 tokens
max: 127 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 67.6 tokens
max: 105 tokens
min: 38 tokens
mean: 66.93 tokens
max: 106 tokens
min: 39 tokens
mean: 68.87 tokens
max: 105 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 27.74 tokens
max: 83 tokens
min: 6 tokens
mean: 27.97 tokens
max: 83 tokens
min: 5 tokens
mean: 26.85 tokens
max: 93 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 21.82 tokens
max: 30 tokens
min: 16 tokens
mean: 21.63 tokens
max: 30 tokens
min: 16 tokens
mean: 21.82 tokens
max: 30 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 255.94 tokens
max: 256 tokens
min: 238 tokens
mean: 255.96 tokens
max: 256 tokens
min: 255 tokens
mean: 256.0 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 238.49 tokens
max: 256 tokens
min: 155 tokens
mean: 237.49 tokens
max: 256 tokens
min: 154 tokens
mean: 239.37 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 72.2 tokens
max: 107 tokens
min: 48 tokens
mean: 72.41 tokens
max: 107 tokens
min: 48 tokens
mean: 71.09 tokens
max: 105 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 9.63 tokens
max: 25 tokens
min: 4 tokens
mean: 9.46 tokens
max: 20 tokens
min: 4 tokens
mean: 8.96 tokens
max: 20 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 67.86 tokens
max: 102 tokens
min: 39 tokens
mean: 67.41 tokens
max: 106 tokens
min: 38 tokens
mean: 68.7 tokens
max: 103 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 46.96 tokens
max: 137 tokens
min: 17 tokens
mean: 46.04 tokens
max: 119 tokens
min: 17 tokens
mean: 47.23 tokens
max: 128 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 67.73 tokens
max: 256 tokens
min: 22 tokens
mean: 71.36 tokens
max: 256 tokens
min: 19 tokens
mean: 72.27 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 38.72 tokens
max: 175 tokens
min: 14 tokens
mean: 35.56 tokens
max: 175 tokens
min: 13 tokens
mean: 34.18 tokens
max: 170 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 220.6 tokens
max: 256 tokens
min: 22 tokens
mean: 232.81 tokens
max: 256 tokens
min: 22 tokens
mean: 227.79 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 160.66 tokens
max: 256 tokens
min: 39 tokens
mean: 160.32 tokens
max: 256 tokens
min: 39 tokens
mean: 163.83 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 32.86 tokens
max: 68 tokens
min: 18 tokens
mean: 31.96 tokens
max: 63 tokens
min: 19 tokens
mean: 31.82 tokens
max: 75 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 16.29 tokens
max: 31 tokens
min: 11 tokens
mean: 16.07 tokens
max: 29 tokens
min: 11 tokens
mean: 16.77 tokens
max: 29 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 22.53 tokens
max: 89 tokens
min: 6 tokens
mean: 21.07 tokens
max: 92 tokens
min: 7 tokens
mean: 20.66 tokens
max: 67 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 217.58 tokens
max: 256 tokens
min: 20 tokens
mean: 218.51 tokens
max: 256 tokens
min: 10 tokens
mean: 222.43 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 239.28 tokens
max: 256 tokens
min: 76 tokens
mean: 238.82 tokens
max: 256 tokens
min: 43 tokens
mean: 245.22 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 22.33 tokens
max: 50 tokens
min: 10 tokens
mean: 21.8 tokens
max: 70 tokens
min: 8 tokens
mean: 20.88 tokens
max: 47 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 99.97 tokens
max: 158 tokens
min: 63 tokens
mean: 98.69 tokens
max: 142 tokens
min: 62 tokens
mean: 100.36 tokens
max: 141 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 29.57 tokens
max: 46 tokens
min: 15 tokens
mean: 29.25 tokens
max: 53 tokens
min: 15 tokens
mean: 29.27 tokens
max: 43 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 255.12 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 12.93 tokens
max: 28 tokens
min: 9 tokens
mean: 12.67 tokens
max: 24 tokens
min: 9 tokens
mean: 12.22 tokens
max: 22 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 18.82 tokens
max: 41 tokens
min: 14 tokens
mean: 18.58 tokens
max: 30 tokens
min: 14 tokens
mean: 18.49 tokens
max: 29 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 10.79 tokens
max: 33 tokens
min: 3 tokens
mean: 10.73 tokens
max: 24 tokens
min: 3 tokens
mean: 10.09 tokens
max: 26 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 35.42 tokens
max: 56 tokens
min: 17 tokens
mean: 35.59 tokens
max: 56 tokens
min: 20 tokens
mean: 36.65 tokens
max: 55 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 51.14 tokens
max: 94 tokens
min: 25 tokens
mean: 50.75 tokens
max: 92 tokens
min: 20 tokens
mean: 51.57 tokens
max: 95 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 11.45 tokens
max: 23 tokens
min: 7 tokens
mean: 11.45 tokens
max: 19 tokens
min: 5 tokens
mean: 11.39 tokens
max: 22 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 31.13 tokens
max: 88 tokens
min: 16 tokens
mean: 31.11 tokens
max: 92 tokens
min: 16 tokens
mean: 30.87 tokens
max: 92 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 28.84 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:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 67.85 tokens
max: 98 tokens
min: 46 tokens
mean: 67.23 tokens
max: 104 tokens
min: 43 tokens
mean: 69.07 tokens
max: 96 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 19.81 tokens
max: 91 tokens
min: 3 tokens
mean: 18.28 tokens
max: 92 tokens
min: 4 tokens
mean: 19.28 tokens
max: 137 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 16.69 tokens
max: 37 tokens
min: 7 tokens
mean: 15.13 tokens
max: 36 tokens
min: 7 tokens
mean: 15.75 tokens
max: 35 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 40.69 tokens
max: 54 tokens
min: 32 tokens
mean: 40.34 tokens
max: 53 tokens
min: 32 tokens
mean: 40.34 tokens
max: 60 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 19.99 tokens
max: 82 tokens
min: 9 tokens
mean: 18.95 tokens
max: 58 tokens
min: 9 tokens
mean: 18.21 tokens
max: 36 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 9.32 tokens
max: 15 tokens
min: 6 tokens
mean: 9.05 tokens
max: 15 tokens
min: 6 tokens
mean: 10.14 tokens
max: 15 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 79.63 tokens
max: 116 tokens
min: 48 tokens
mean: 79.41 tokens
max: 114 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 236.12 tokens
max: 256 tokens
min: 142 tokens
mean: 234.04 tokens
max: 256 tokens
min: 151 tokens
mean: 235.21 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 30.99 tokens
max: 53 tokens
min: 27 tokens
mean: 30.78 tokens
max: 61 tokens
min: 27 tokens
mean: 30.5 tokens
max: 42 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 20.88 tokens
max: 37 tokens
min: 14 tokens
mean: 20.68 tokens
max: 35 tokens
min: 14 tokens
mean: 21.49 tokens
max: 37 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 118.77 tokens
max: 256 tokens
min: 7 tokens
mean: 118.89 tokens
max: 256 tokens
min: 6 tokens
mean: 111.84 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 136.57 tokens
max: 256 tokens
min: 7 tokens
mean: 145.91 tokens
max: 256 tokens
min: 3 tokens
mean: 145.04 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 16.57 tokens
max: 32 tokens
min: 7 tokens
mean: 14.55 tokens
max: 31 tokens
min: 7 tokens
mean: 15.21 tokens
max: 34 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 254.55 tokens
max: 256 tokens
min: 137 tokens
mean: 254.47 tokens
max: 256 tokens
min: 171 tokens
mean: 255.44 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 15.84 tokens
max: 37 tokens
min: 6 tokens
mean: 13.95 tokens
max: 33 tokens
min: 7 tokens
mean: 15.26 tokens
max: 36 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 30.18 tokens
max: 104 tokens
min: 13 tokens
mean: 29.54 tokens
max: 108 tokens
min: 13 tokens
mean: 29.28 tokens
max: 122 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 69.49 tokens
max: 126 tokens
min: 6 tokens
mean: 70.53 tokens
max: 123 tokens
min: 6 tokens
mean: 70.75 tokens
max: 123 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 11.7 tokens
max: 25 tokens
min: 10 tokens
mean: 11.63 tokens
max: 24 tokens
min: 10 tokens
mean: 11.7 tokens
max: 25 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 66.33 tokens
max: 256 tokens
min: 25 tokens
mean: 65.13 tokens
max: 256 tokens
min: 23 tokens
mean: 61.09 tokens
max: 161 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 32.35 tokens
max: 112 tokens
min: 14 tokens
mean: 31.59 tokens
max: 93 tokens
min: 15 tokens
mean: 32.09 tokens
max: 159 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 39.76 tokens
max: 147 tokens
min: 13 tokens
mean: 38.87 tokens
max: 149 tokens
min: 13 tokens
mean: 39.78 tokens
max: 148 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 12.88 tokens
max: 23 tokens
min: 10 tokens
mean: 12.85 tokens
max: 27 tokens
min: 11 tokens
mean: 12.72 tokens
max: 22 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 35.25 tokens
max: 65 tokens
min: 22 tokens
mean: 34.28 tokens
max: 60 tokens
min: 19 tokens
mean: 33.32 tokens
max: 65 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 224.52 tokens
max: 256 tokens
min: 31 tokens
mean: 232.78 tokens
max: 256 tokens
min: 27 tokens
mean: 234.08 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 61.69 tokens
max: 92 tokens
min: 36 tokens
mean: 62.15 tokens
max: 106 tokens
min: 31 tokens
mean: 61.64 tokens
max: 92 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 16.87 tokens
max: 60 tokens
min: 6 tokens
mean: 15.8 tokens
max: 69 tokens
min: 6 tokens
mean: 16.64 tokens
max: 51 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 72.55 tokens
max: 118 tokens
min: 48 tokens
mean: 72.48 tokens
max: 102 tokens
min: 47 tokens
mean: 72.02 tokens
max: 106 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 25.04 tokens
max: 75 tokens
min: 7 tokens
mean: 23.43 tokens
max: 56 tokens
min: 5 tokens
mean: 22.96 tokens
max: 61 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 53.6 tokens
max: 200 tokens
min: 16 tokens
mean: 53.35 tokens
max: 220 tokens
min: 16 tokens
mean: 54.85 tokens
max: 202 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 72.72 tokens
max: 164 tokens
min: 38 tokens
mean: 71.85 tokens
max: 157 tokens
min: 39 tokens
mean: 72.77 tokens
max: 155 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 159.49 tokens
max: 256 tokens
min: 39 tokens
mean: 157.71 tokens
max: 256 tokens
min: 41 tokens
mean: 167.28 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 42.7 tokens
max: 127 tokens
min: 11 tokens
mean: 44.5 tokens
max: 149 tokens
min: 11 tokens
mean: 43.69 tokens
max: 113 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 200.52 tokens
max: 256 tokens
min: 150 tokens
mean: 200.44 tokens
max: 256 tokens
min: 142 tokens
mean: 200.71 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 53.46 tokens
max: 256 tokens
min: 18 tokens
mean: 52.8 tokens
max: 256 tokens
min: 18 tokens
mean: 54.16 tokens
max: 161 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 20.17 tokens
max: 34 tokens
min: 8 tokens
mean: 19.04 tokens
max: 34 tokens
min: 8 tokens
mean: 18.95 tokens
max: 34 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 40.58 tokens
max: 86 tokens
min: 14 tokens
mean: 41.03 tokens
max: 86 tokens
min: 14 tokens
mean: 40.25 tokens
max: 86 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 231.81 tokens
max: 256 tokens
min: 12 tokens
mean: 235.48 tokens
max: 256 tokens
min: 18 tokens
mean: 234.41 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 86.25 tokens
max: 125 tokens
min: 60 tokens
mean: 85.46 tokens
max: 131 tokens
min: 59 tokens
mean: 86.17 tokens
max: 131 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 14.44 tokens
max: 61 tokens
min: 5 tokens
mean: 14.92 tokens
max: 35 tokens
min: 5 tokens
mean: 13.91 tokens
max: 93 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 100.23 tokens
max: 256 tokens
min: 19 tokens
mean: 106.1 tokens
max: 256 tokens
min: 14 tokens
mean: 112.61 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 27.85 tokens
max: 50 tokens
min: 10 tokens
mean: 26.98 tokens
max: 44 tokens
min: 9 tokens
mean: 27.37 tokens
max: 48 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 9.88 tokens
max: 18 tokens
min: 6 tokens
mean: 9.95 tokens
max: 20 tokens
min: 6 tokens
mean: 10.01 tokens
max: 20 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 15.08 tokens
max: 29 tokens
min: 7 tokens
mean: 15.1 tokens
max: 30 tokens
min: 8 tokens
mean: 13.85 tokens
max: 32 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 246.38 tokens
max: 256 tokens
min: 170 tokens
mean: 246.03 tokens
max: 256 tokens
min: 161 tokens
mean: 247.08 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 95.2 tokens
max: 183 tokens
min: 44 tokens
mean: 95.22 tokens
max: 185 tokens
min: 43 tokens
mean: 95.46 tokens
max: 183 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 229.98 tokens
max: 256 tokens
min: 118 tokens
mean: 235.51 tokens
max: 256 tokens
min: 12 tokens
mean: 229.54 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 255.02 tokens
max: 256 tokens
min: 204 tokens
mean: 255.57 tokens
max: 256 tokens
min: 75 tokens
mean: 255.09 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 54.9 tokens
max: 193 tokens
min: 20 tokens
mean: 54.58 tokens
max: 175 tokens
min: 21 tokens
mean: 54.59 tokens
max: 187 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 7.61 tokens
max: 12 tokens
min: 7 tokens
mean: 7.5 tokens
max: 12 tokens
min: 7 tokens
mean: 7.37 tokens
max: 11 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 186.62 tokens
max: 256 tokens
min: 46 tokens
mean: 190.24 tokens
max: 256 tokens
min: 3 tokens
mean: 191.54 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 30.49 tokens
max: 55 tokens
min: 16 tokens
mean: 30.05 tokens
max: 57 tokens
min: 16 tokens
mean: 30.75 tokens
max: 60 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 21.21 tokens
max: 40 tokens
min: 14 tokens
mean: 20.82 tokens
max: 31 tokens
min: 14 tokens
mean: 21.34 tokens
max: 31 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 28.02 tokens
max: 41 tokens
min: 24 tokens
mean: 27.93 tokens
max: 41 tokens
min: 24 tokens
mean: 28.27 tokens
max: 39 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 234.66 tokens
max: 256 tokens
min: 171 tokens
mean: 234.25 tokens
max: 256 tokens
min: 171 tokens
mean: 232.38 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 18.54 tokens
max: 60 tokens
min: 9 tokens
mean: 18.22 tokens
max: 63 tokens
min: 9 tokens
mean: 17.5 tokens
max: 55 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 248.76 tokens
max: 256 tokens
min: 21 tokens
mean: 249.97 tokens
max: 256 tokens
min: 84 tokens
mean: 251.73 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 11.27 tokens
max: 24 tokens
min: 6 tokens
mean: 11.32 tokens
max: 22 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 51.26 tokens
max: 113 tokens
min: 29 tokens
mean: 49.37 tokens
max: 134 tokens
min: 30 tokens
mean: 51.55 tokens
max: 113 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 255.37 tokens
max: 256 tokens
min: 226 tokens
mean: 255.94 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 40.14 tokens
max: 86 tokens
min: 13 tokens
mean: 38.43 tokens
max: 78 tokens
min: 15 tokens
mean: 39.19 tokens
max: 86 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 107.11 tokens
max: 256 tokens
min: 44 tokens
mean: 108.31 tokens
max: 256 tokens
min: 45 tokens
mean: 111.21 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 94.25 tokens
max: 178 tokens
min: 21 tokens
mean: 96.14 tokens
max: 256 tokens
min: 19 tokens
mean: 117.97 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 50.06 tokens
max: 84 tokens
min: 31 tokens
mean: 53.19 tokens
max: 88 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 235.47 tokens
max: 256 tokens
min: 155 tokens
mean: 235.56 tokens
max: 256 tokens
min: 146 tokens
mean: 236.52 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 105.97 tokens
max: 256 tokens
min: 23 tokens
mean: 111.67 tokens
max: 256 tokens
min: 20 tokens
mean: 112.01 tokens
max: 249 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 12.72 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:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 51.45 tokens
max: 87 tokens
min: 27 tokens
mean: 51.92 tokens
max: 87 tokens
min: 25 tokens
mean: 51.32 tokens
max: 87 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 4 tokens
mean: 12.55 tokens
max: 31 tokens
min: 17 tokens
mean: 153.54 tokens
max: 256 tokens
min: 14 tokens
mean: 115.47 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 4 tokens
mean: 20.48 tokens
max: 113 tokens
min: 3 tokens
mean: 11.97 tokens
max: 53 tokens
min: 5 tokens
mean: 12.0 tokens
max: 44 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 9 tokens
mean: 29.49 tokens
max: 256 tokens
min: 8 tokens
mean: 34.43 tokens
max: 256 tokens
min: 8 tokens
mean: 55.34 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 11.44 tokens
max: 32 tokens
min: 11 tokens
mean: 88.83 tokens
max: 256 tokens
min: 10 tokens
mean: 72.41 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 6 tokens
mean: 15.55 tokens
max: 53 tokens
min: 21 tokens
mean: 212.64 tokens
max: 256 tokens
min: 21 tokens
mean: 199.72 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 11.86 tokens
max: 102 tokens
min: 11 tokens
mean: 40.22 tokens
max: 256 tokens
min: 14 tokens
mean: 45.28 tokens
max: 157 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 11 tokens
mean: 27.86 tokens
max: 79 tokens
min: 32 tokens
mean: 227.63 tokens
max: 256 tokens
min: 2 tokens
mean: 230.52 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 8.86 tokens
max: 22 tokens
min: 20 tokens
mean: 80.41 tokens
max: 237 tokens
min: 19 tokens
mean: 79.77 tokens
max: 221 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 16.91 tokens
max: 109 tokens
min: 6 tokens
mean: 78.27 tokens
max: 256 tokens
min: 9 tokens
mean: 84.97 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 14.45 tokens
max: 40 tokens
min: 31 tokens
mean: 152.75 tokens
max: 256 tokens
min: 34 tokens
mean: 162.58 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 4 tokens
mean: 86.96 tokens
max: 256 tokens
min: 101 tokens
mean: 111.39 tokens
max: 149 tokens
min: 58 tokens
mean: 113.39 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 26.81 tokens
max: 109 tokens
min: 12 tokens
mean: 26.82 tokens
max: 137 tokens
min: 12 tokens
mean: 27.3 tokens
max: 96 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 9.55 tokens
max: 27 tokens
min: 3 tokens
mean: 9.03 tokens
max: 26 tokens
min: 3 tokens
mean: 9.45 tokens
max: 32 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 9.51 tokens
max: 24 tokens
min: 3 tokens
mean: 8.95 tokens
max: 23 tokens
min: 3 tokens
mean: 9.47 tokens
max: 30 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 49.11 tokens
max: 256 tokens
min: 7 tokens
mean: 49.49 tokens
max: 256 tokens
min: 7 tokens
mean: 50.64 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 5 tokens
mean: 16.09 tokens
max: 81 tokens
min: 5 tokens
mean: 15.38 tokens
max: 87 tokens
min: 4 tokens
mean: 16.45 tokens
max: 81 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 22.98 tokens
max: 78 tokens
min: 5 tokens
mean: 17.64 tokens
max: 69 tokens
min: 4 tokens
mean: 21.9 tokens
max: 72 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 33 tokens
mean: 206.14 tokens
max: 256 tokens
min: 58 tokens
mean: 223.92 tokens
max: 256 tokens
min: 32 tokens
mean: 208.68 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 10.1 tokens
max: 34 tokens
min: 3 tokens
mean: 9.45 tokens
max: 24 tokens
min: 3 tokens
mean: 10.14 tokens
max: 33 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 10.17 tokens
max: 25 tokens
min: 4 tokens
mean: 9.67 tokens
max: 35 tokens
min: 3 tokens
mean: 9.92 tokens
max: 27 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 70.74 tokens
max: 256 tokens
min: 3 tokens
mean: 91.6 tokens
max: 256 tokens
min: 3 tokens
mean: 67.58 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 4 tokens
mean: 20.71 tokens
max: 57 tokens
min: 3 tokens
mean: 20.14 tokens
max: 56 tokens
min: 3 tokens
mean: 21.64 tokens
max: 60 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 15.24 tokens
max: 44 tokens
min: 16 tokens
mean: 37.47 tokens
max: 129 tokens
min: 16 tokens
mean: 37.81 tokens
max: 106 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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: 6 tokens
mean: 15.56 tokens
max: 63 tokens
min: 4 tokens
mean: 144.46 tokens
max: 256 tokens
min: 5 tokens
mean: 144.49 tokens
max: 256 tokens
Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 100, 3 "similarity_fct": "cos_sim" 4}

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	-	-	0.8357
0.1308	500	4.8199	1.2826	0.8714
0.2616	1000	2.1461	1.0896	0.8822
0.3925	1500	2.0906	1.0255	0.8888
0.5233	2000	1.8088	0.9673	0.8911
0.6541	2500	1.9099	0.9352	0.8940
0.7849	3000	1.8035	0.9721	0.8924
0.9158	3500	1.8604	0.9227	0.8951
1.0466	4000	1.7688	0.8781	0.8989
1.1774	4500	1.8686	0.9600	0.8931
1.3082	5000	1.6814	0.8968	0.8948
1.4390	5500	1.694	1.1654	0.8949
1.5699	6000	1.6429	1.3446	0.8922
1.7007	6500	1.659	1.1053	0.8970
1.8315	7000	1.5881	1.1438	0.8943
1.9623	7500	1.5615	0.9081	0.9020
2.0931	8000	1.6247	1.1045	0.8980
2.2240	8500	1.5633	1.1456	0.8946
2.3548	9000	1.5965	1.4517	0.8968
2.4856	9500	1.4131	1.5422	0.8928

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: 0.20.4

Citation

BibTeX

Sentence Transformers

bibtex

@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