all-MiniLM-L6-v2-MEDI-MTEB-triplet-final

avsolatorio/all-MiniLM-L6-v2-MEDI-MTEB-triplet-final

all-MiniLM-L6-v2-MEDI-MTEB-triplet-final is a sentence similarity model from avsolatorio. Use it when you need a score for how close two texts are. It is set up for sentence-transformers. The card lists the license as apache-2.0.

This is a sentence-transformers model finetuned from sentence-transformers/all-MiniLM-L6-v2 on the NQ, pubmed, spectertraintriples, S2ORCcitationsabstracts, fever, gooaqpairs, codesearchnet, wikihow, WikiAnswers, eli5…

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At a glance

Task: Sentence Similarity
Library: sentence-transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jul 14, 2024
Updated: Jul 14, 2024
SHA: 3963e9ef

Base models

sentence-transformers/all-MiniLM-L6-v2

Model card

From the Hugging Face model README

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

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

Model Details

Model Description

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

Model Sources

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

Full Model Architecture

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

Usage

Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

pip install -U sentence-transformers

Then you can load this model and run inference.

from sentence_transformers import SentenceTransformer

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

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

Evaluation

Metrics

Triplet

Dataset: medi-mteb-dev
Evaluated with <code>TripletEvaluator</code>

Metric	Value
cosine_accuracy	0.9117
dot_accuracy	0.081
manhattan_accuracy	0.912
euclidean_accuracy	0.9115
max_accuracy	0.912