CrossEncoder based on itdainb/PhoRanker

This is a Cross Encoder model finetuned from itdainb/PhoRanker using the sentence-transformers library. It computes scores for pairs of texts, which can be used for text reranking and semantic search.

Model Details

Model Description

  • Model Type: Cross Encoder
  • Base model: itdainb/PhoRanker
  • Maximum Sequence Length: 256 tokens
  • Number of Output Labels: 1 label

Model Sources

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 CrossEncoder

# Download from the ๐Ÿค— Hub
model = CrossEncoder("truong1301/PhoRanker_vifactcheck")
# Get scores for pairs of texts
pairs = [
    ['Tรญnh ฤ‘แบฟn sรกng ngร y 28/3, ba nแบกn nhรขn nร o ฤ‘รฃ tแปญ vong trong vแปฅ nแป• ฤ‘แบงu ฤ‘แบกn tแบกi thรดn Kon ฤao Yรดp?\n', '( NLฤO ) โ€“ Mแป™t ngฦฐแปi ฤ‘ร n_รดng 41 tuแป•i vแปซa bแป‹ bแบฏt do liรชn_quan vแปฅ รกn ngฦฐแปi_mแบซu Hแป“ng_Kรดng - Trung_Quแป‘c Abby_Choi ( Thรกi_Thiรชn_Phฦฐแปฃng ) bแป‹ giแบฟt vร  phรขn xรกc . ฤรขy lร  ngฦฐแปi thแปฉ 6 liรชn_quan bแป‹ bแบฏt_giแปฏ Trang_South China_Morning_Post ngร y 2 - 3 dแบซn mแป™t nguแป“n tin cho biแบฟt ngฦฐแปi ฤ‘ร n_รดng nร y bแป‹ bแบฏt vรฌ nghi_ngแป hแป—_trแปฃ , tiแบฟp_tay cho mแป™t nghi phแบกm . Chi_tiแบฟt vแปฅ_viแป‡c chฦฐa ฤ‘ฦฐแปฃc cรดng_bแป‘ . Tin_tแปฉc ฤ‘ฦฐแปฃc ฤ‘ฦฐa ra khi hฦกn 120 cแบฃnh_sรกt rร _soรกt bรฃi rรกc , tรฌm_kiแบฟm phแบงn cรกnh_tay vร  phแบงn thรขn cแปงa thi_thแปƒ Abby_Choi . Viแป‡c tรฌm_kiแบฟm diแป…n ra suแป‘t 3 ngร y qua nhฦฐng chฦฐa tรฌm thแบฅy nhแปฏng phแบงn thi_thแปƒ cรฒn lแบกi cแปงa Abby_Choi . Tแป‘i 2 - 3 , cแบฃnh_sรกt quay lแบกi hiแป‡n_trฦฐแปng vแปฅ รกn , tแปฉc tแบงng trแป‡t cแปงa ngรดi nhร  3 tแบงng แปŸ lร ng Lung Mei_Tsuen , quแบญn Tai_Po ฤ‘แปƒ tรฌm_kiแบฟm lแบงn cuแป‘i . ฤรขy lร  nฦกi cแบฃnh_sรกt phรกt_hiแป‡n 2 chรขn phแปฅ_nแปฏ trong tแปง_lแบกnh , mแป™t_sแป‘ vแบญt_dแปฅng cแปงa Abby_Choi , 2 nแป“i sรบp mร  mแป™t trong ฤ‘รณ cรณ ฤ‘แบงu , xฦฐฦกng sฦฐแปn nแบกn_nhรขn . Abby_Choi ( Thรกi_Thiรชn_Phฦฐแปฃng ) bแป‹ giแบฟt , phรขn xรกc แปŸ tuแป•i 28 Nghi phแบกm thแปฉ 5 cแปงa vแปฅ รกn lร  mแป™t phแปฅ_nแปฏ 47 tuแป•i , nhรขn_viรชn mรกt - xa , bแป‹ nghi lร  ngฦฐแปi_tรฌnh cแปงa bแป‘ chแป“ng cลฉ Abby_Choi . Cแบฃ hai yรชu nhau ฤ‘ฦฐแปฃc khoแบฃng 6 thรกng . Ngฦฐแปi nร y bแป‹_cรกo_buแป™c hแป—_trแปฃ , tiแบฟp_tay cho nghi phแบกm . Cแปฅ_thแปƒ , ngฦฐแปi phแปฅ_nแปฏ nร y ฤ‘รฃ giรบp bแป‘ chแป“ng cลฉ Abby Choi thuรช cฤƒn nhร  tแบกi lร ng Lung Mei_Tsuen . Ngฦฐแปi nร y cลฉng thuรช mแป™t cฤƒn_hแป™ sang_trแปng khรกc ฤ‘แปƒ chแป“ng cลฉ Abby Choi lแบฉn_trแป‘n trฦฐแป›c khi bแป‹ bแบฏt . Ngฦฐแปi phแปฅ_nแปฏ nร y ฤ‘รฃ ฤ‘ฦฐแปฃc tแบกi_ngoแบกi chแป ฤ‘iแปu_tra thรชm nhฦฐng phแบฃi ฤ‘แบฟn bรกo_cรกo vแป›i cแบฃnh_sรกt vร o cuแป‘i thรกng . Viแป‡c tรฌm_kiแบฟm ฤ‘แปง cรกc phแบงn thi_thแปƒ , ฤ‘แบทc_biแป‡t lร  tay vร  chรขn , ฤ‘ฦฐแปฃc ฤ‘รกnh_giรก rแบฅt quan_trแปng ฤ‘แปƒ xรกc_ฤ‘แป‹nh tแป™i_danh cแปงa gia_ฤ‘รฌnh chแป“ng cลฉ nแบกn_nhรขn . Ngoร i_ra , nhแปฏng vแบญt_dแปฅng nhฦฐ ฤ‘iแป‡n_thoแบกi , quแบงn_รกo , hung_khรญ cลฉng quan_trแปng khรดng kรฉm . Nแบฟu cแบฃnh_sรกt khรดng thu_thแบญp ฤ‘แปง chแปฉng_cแปฉ hแปฏu_hiแป‡u cho vแปฅ รกn sแบฝ khรณ ฤ‘แป‹nh_tแป™i giแบฟt ngฦฐแปi tแบกi phiรชn_tรฒa tiแบฟp_theo . Luแบญt Hแป“ng_Kรดng - Trung_Quแป‘c cรณ quy_ฤ‘แป‹nh vแป nguyรชn_tแบฏc " nghi ฤ‘iแปƒm lแปฃi_รญch thuแป™c vแป bแป‹_cรกo " . Nghฤฉa_lร  nแบฟu trong vแปฅ รกn cรณ tรฌnh_tiแบฟt khรดng_thแปƒ lร m rรต hoแบทc khรดng chแบฏc_chแบฏn thรฌ sแบฝ trแปŸ_thร nh ฤ‘iแปƒm cรณ lแปฃi cho bแป‹_cรกo . Vรฌ_thแบฟ , phรญa gia_ฤ‘รฌnh chแป“ng cลฉ cแปงa Abby Choi dรน bแป‹ bแบฏt vแบซn quyแบฟt khรดng khai ฤ‘แป‹a_ฤ‘iแปƒm giแบฅu cรกc phแบงn thi_thแปƒ nแบกn_nhรขn . Hiแป‡n_trฦฐแปng vแปฅ รกn - nฦกi cแบฃnh_sรกt phรกt_hiแป‡n cรกc phแบงn thi_thแปƒ cแปงa Abby Choi_Hoa vร  tรกo ฤ‘ฦฐแปฃc ฤ‘แบทt xung_quanh Cแบฃnh_sรกt vแบซn tรญch_cแปฑc tรฌm_kiแบฟm cรกc phแบงn cรฒn lแบกi thi_thแปƒ Abby Choi Bรกc_sฤฉ phรกp_y nแป•i_tiแบฟng ngฦฐแปi ฤร i_Loan - Trung_Quแป‘c Cao ฤแบกi_Thร nh lรฝ_giแบฃi kแบป sรกt_nhรขn hร nh_ฤ‘แป™ng man_rแปฃ vแป›i thi_thแปƒ nแบกn_nhรขn vรฌ muแป‘n gรขy khรณ_khฤƒn cho cฦก_quan ฤ‘iแปu_tra trong viแป‡c xรฉt_nghiแป‡m ADN. Viแป‡c xแปญ_lรฝ phแบงn ฤ‘แบงu , tแปฉ_chi lร  ฤ‘แปƒ tฤƒng ฤ‘แป™ khรณ khi nhแบญn_dแบกng , lแบฅy dแบฅu vรขn tay โ€ฆ Cแบฃnh_sรกt ฤ‘รฃ bแบฏt_giแปฏ 5 nghi phแบกm trong vแปฅ รกn giแบฟt ngฦฐแปi_mแบซu Abby_Choi . Trong ฤ‘รณ , รดng Kwong_Kau ( 65 tuแป•i , bแป‘ chแป“ng cลฉ ) , Anthony_Kwong ( 31 tuแป•i , anh_trai cแปงa chแป“ng cลฉ ) vร  Alex_Kwon ( 28 tuแป•i , chแป“ng cลฉ ) bแป‹ buแป™c_tแป™i giแบฟt ngฦฐแปi . Bร  Jenny_Li ( 63 tuแป•i , mแบน chแป“ng cลฉ ) bแป‹ buแป™c_tแป™i cแบฃn_trแปŸ , lร m sai_lแป‡ch tiแบฟn_trรฌnh ฤ‘iแปu_tra . Mแป™t phแปฅ_nแปฏ 47 tuแป•i , bแป‹ nghi lร  ngฦฐแปi_tรฌnh cแปงa รดng Kwong_Kau , ฤ‘ang bแป‹ cแบฃnh_sรกt thแบฉm_vแบฅn . Ngฦฐแปi phแปฅ_nแปฏ nร y ฤ‘รฃ giรบp รดng Kwong Kau thuรช tแบงng trแป‡t ngรดi nhร  hiแป‡n lร  hiแป‡n_trฦฐแปng vแปฅ รกn vร  cลฉng lร  ngฦฐแปi ฤ‘รฃ thuรช mแป™t cฤƒn_hแป™ khรกc giรบp Alex_Kwon lแบฉn_trแป‘n . Tรฒa dแปฑ_kiแบฟn xรฉt_xแปญ tiแบฟp vแปฅ รกn vร o ngร y 8 - 5 .'],
    ['Nguyรชn nhรขn dแบซn ฤ‘แบฟn viแป‡c รดng Hoร ng giแบฟt bร  P. lร  gรฌ?\n', '( NLฤO ) - Thแบฅy bรฉ gรกi ฤ‘แปฉng chฦกi trฦฐแป›c nhร  mร  khรดng cรณ ngฦฐแปi trรดng giแปฏ , Thuรขn ฤ‘รฃ bแบฏt chรกu bรฉ lรชn nhร  vร  thแปฑc_hiแป‡n_hร nh_vi hiแบฟp_dรขm ฤ‘แป“i_bแบกi . Tแบกi phiรชn_toร  sฦก_thแบฉm ngร y 28 - 3 , TAND tแป‰nh An_Giang tuyรชn_phแบกt bแป‹_cรกo Nguyแป…n_Vฤƒn_Thuรขn ( SN 1949 ; ngแปฅ xรฃ ฤa_Phฦฐแป›c , huyแป‡n An_Phรบ , tแป‰nh An_Giang ) 13 nฤƒm tรน vแป tแป™i " Hiแบฟp_dรขm ngฦฐแปi dฦฐแป›i 16 tuแป•i " ; ฤ‘แป“ng_thแปi buแป™c bแป‹_cรกo bแป“i_thฦฐแปng tแป•n_thแบฅt tinh_thแบงn cho bแป‹ hแบกi 20 triแป‡u ฤ‘แป“ng . Bแป‹_cรกo Nguyแป…n_Vฤƒn_Thuรขn . Theo cรกo_trแบกng , khoแบฃng 15 giแป ngร y 10 - 12 - 2022 , bร  ฤแป—_Thแป‹ S. dแบซn chรกu nแป™i tรชn N. ( SN 2018 ) ra cแบทp bแป sรดng ( thuแป™c xรฃ ฤa_Phฦฐแป›c ) chฦกi lรด_tรด . Khoแบฃng 30 phรบt sau , Thuรขn thแบฅy chรกu N. ฤ‘ang chฦกi trฦฐแป›c cแปญa_nhร  Thuรขn vร  khรดng cรณ ngฦฐแปi trรดng giแปฏ , nรชn nแบฃy_sinh รฝ_ฤ‘แป‹nh hiแบฟp_dรขm chรกu N. Quang_cแบฃnh phiรชn_tรฒa . ฤแปƒ thแปฑc_hiแป‡n , Thuรขn ra bแบฟ chรกu N. lรชn hร ng ba nhร  mรฌnh , rแป“i thแปฑc_hiแป‡n_hร nh_vi ฤ‘แป“i_bแบกi ฤ‘แป‘i_vแป›i chรกu bรฉ . Bแป‹ ฤ‘au , chรกu bรฉ bแป chแบกy ra chแป— bร  nแป™i . Khi vแป ฤ‘แบฟn nhร  , bร  S. phรกt_hiแป‡n vร  nghi_ngแป Thuรขn xรขm_hแบกi tรฌnh_dแปฅc chรกu N. nรชn ฤ‘แบฟn Cรดng_an xรฃ ฤa_Phฦฐแป›c trรฌnh_bรกo . Ngay sau ฤ‘รณ , Thuรขn bแป‹ bแบฏt_giแปฏ . Tแบกi cฦก_quan cรดng_an , Thuรขn thแปซa_nhแบญn toร n_bแป™_hร nh_vi phแบกm_tแป™i cแปงa mรฌnh .'],
    ['Vรฌ sao WHO xแบฟp Viแป‡t Nam vร o nhรณm nguy cฦก cao xรขm nhแบญp bแบกi liแป‡t vร o thรกng 11/2022, trong khi cรกc nฦฐแป›c khรกc vแบซn แปŸ nhรณm cลฉ?\n', '( NLฤO ) - Vแป dแป‹ch COVID - 19 hรดm_nay 22 - 3 , Bแป™ Y_tแบฟ cho biแบฟt sแป‘ ca mแบฏc COVID - 19 lแบกi tฤƒng trong 24 giแป qua . Bแป™ Y_tแบฟ cแบฃnh_bรกo nguy_cฦก xรขm_nhแบญp , lรขy_lan cแปงa cรกc tรกc_nhรขn gรขy bแป‡nh luรดn tiแปm_แบฉn Vแป tรฌnh_hรฌnh dแป‹ch COVID - 19 hรดm_nay , Bแป™ Y_tแบฟ cho biแบฟt tแปซ 16 giแป ngร y 21 - 3 ฤ‘แบฟn 16 giแป ngร y 22 - 3 , cแบฃ nฦฐแป›c ghi_nhแบญn 18 ca mแบฏc , tฤƒng so vแป›i ngร y trฦฐแป›c ฤ‘รณ . Kแปƒ tแปซ ฤ‘แบงu dแป‹ch ฤ‘แบฟn nay Viแป‡t_Nam cรณ 11.527.175 ca nhiแป…m , ฤ‘แปฉng thแปฉ 13 / 230 quแป‘c_gia vร  vรนng lรฃnh_thแป• , trong khi vแป›i tแป‰_lแป‡ sแป‘ ca nhiแป…m / 1 triแป‡u dรขn , Viแป‡t_Nam ฤ‘แปฉng thแปฉ 117 / 230 quแป‘c_gia vร  vรนng lรฃnh_thแป• ( bรฌnh_quรขn cแปฉ 1 triแป‡u ngฦฐแปi cรณ 116.491 ca nhiแป…m ) . Biแปƒu_ฤ‘แป“ dแป‹ch COVID - 19 Trong ngร y , cรณ thรชm 14 bแป‡nh_nhรขn ฤ‘ฦฐแปฃc cรดng_bแป‘ khแปi bแป‡nh , nรขng tแป•ng_sแป‘ ca ฤ‘ฦฐแปฃc ฤ‘iแปu_trแป‹ khแปi lรชn 10.614.875 ca . Sแป‘ bแป‡nh_nhรขn ฤ‘ang thแปŸ รดxy lร  4 ca . Tแป•ng_sแป‘ ca tแปญ_vong do COVID - 19 tแบกi Viแป‡t_Nam_tรญnh ฤ‘แบฟn nay lร  43.186 ca , chiแบฟm tแป‰_lแป‡ 0,4 % so vแป›i tแป•ng_sแป‘ ca nhiแป…m . Tแป•ng_sแป‘ ca tแปญ_vong xแบฟp thแปฉ 26 / 230 vรนng lรฃnh_thแป• , sแป‘ ca tแปญ_vong trรชn 1 triแป‡u dรขn xแบฟp thแปฉ 139 / 230 quแป‘c_gia , vรนng lรฃnh_thแป• trรชn thแบฟ_giแป›i . Ngร y 21 - 3 cรณ 4.878 liแปu vแบฏc - xin phรฒng COVID - 19 ฤ‘ฦฐแปฃc tiรชm . Nhฦฐ_vแบญy , tแป•ng_sแป‘ liแปu vแบฏc - xin ฤ‘รฃ ฤ‘ฦฐแปฃc tiรชm lร  265.927.459 liแปu . Ngร y 22 - 3 , Bแป™ Y_tแบฟ ฤ‘รฃ cรณ vฤƒn_bแบฃn gแปญi UBND cรกc tแป‰nh , thร nh_phแป‘ vแป viแป‡c tแป•_chแปฉc triแปƒn_khai kแบฟ_hoแบกch phรฒng , chแป‘ng dแป‹ch_bแป‡nh truyแปn_nhiแป…m , nhแบฅt_lร  dแป‹ch COVID - 19 . Theo Bแป™ Y_tแบฟ , tรฌnh_hรฌnh dแป‹ch_bแป‡nh truyแปn_nhiแป…m trรชn toร n_cแบงu hiแป‡n_nay ฤ‘ฦฐแปฃc dแปฑ_bรกo vแบซn diแป…n_biแบฟn khรณ lฦฐแปng . Dแป‹ch COVID - 19 hiแป‡n vแบซn lร  tรฌnh_trแบกng khแบฉn_cแบฅp vแป sแปฉc_khแปe cแป™ng_ฤ‘แป“ng quแป‘c_tแบฟ , tiแปm_แบฉn nguy_cฦก bรนng_phรกt vแป›i cรกc biแปƒn thแปƒ mแป›i , nhแบฅt_lร  khi cรกc quแป‘c_gia nแป›i lแปng cรกc biแป‡n_phรกp phรฒng , chแป‘ng dแป‹ch vร  thแปฑc_hiแป‡n cรกc chรญnh_sรกch mแปŸ_cแปญa ฤ‘แปƒ phรกt_triแปƒn kinh_tแบฟ xรฃ_hแป™i , giao_thฦฐฦกng , du_lแป‹ch . Cรกc bแป‡nh truyแปn_nhiแป…m nguy_hiแปƒm , mแป›i nแป•i tiแบฟp_tแปฅc xuแบฅt_hiแป‡n vร  lรขy_lan nhฦฐ bแป‡nh Marburg tแบกi khu_vแปฑc Chรขu_Phi , cรบm A / H5N1 tแบกi Campuchia ... Cรกc tรกc_nhรขn gรขy bแป‡nh , cรกc chแปงng virus cรบm liรชn_tแปฅc biแบฟn_ฤ‘แป•i lร m giแบฃm khแบฃ_nฤƒng bแบฃo_vแป‡ cแปงa vแบฏc - xin , tiแปm_แบฉn nguy_cฦก ฤ‘แบกi_dแป‹ch . Bแป™ Y_tแบฟ cho biแบฟt dแป‹ch COVID - 19 vร  cรกc bแป‡nh truyแปn_nhiแป…m khรกc cฦก_bแบฃn vแบซn ฤ‘ang ฤ‘ฦฐแปฃc kiแปƒm_soรกt , tuy_nhiรชn nguy_cฦก xรขm_nhแบญp , lรขy_lan cแปงa cรกc tรกc_nhรขn gรขy bแป‡nh luรดn tiแปm_แบฉn , nhแบฅt_lร  trong bแป‘i_cแบฃnh nhu_cแบงu giao_thฦฐฦกng , du_lแป‹ch tฤƒng cao ; ฤ‘แป“ng_thแปi mแป™t_sแป‘ bแป‡nh truyแปn_nhiแป…m lฦฐu_hร nh nhฦฐ tay_chรขn miแป‡ng , sแป‘t_xuแบฅt_huyแบฟt ... cรณ nguy_cฦก gia_tฤƒng sแป‘ mแบฏc .'],
    ['Cรณ phแบฃi N. lรกi xe mรกy chแปŸ bแบกn ฤ‘แป™i mลฉ bแบฃo hiแปƒm vฦฐแปฃt ฤ‘รจn ฤ‘แป nรชn bแป‹ dรขn quรขn tแปฑ vแป‡ dรนng gแบญy ฤ‘รกnh vร o ฤ‘แบงu gรฃy gแบญy khรดng?\n', 'TPO - Sรกng 25 / 3 , lรฃnh_ฤ‘แบกo Cรดng_an quแบญn Hแบฃi_Chรขu ( TP ฤร _Nแบตng ) cho biแบฟt , ฤ‘รฃ bแบฏt ฤ‘ฦฐแปฃc ฤ‘แป‘i_tฦฐแปฃng ฤ‘แบญp phรก cรขy ATM Ngรขn_hร ng Thฦฐฦกng_mแบกi CP ฤรดng_ร trรชn ฤ‘ฦฐแปng Lรช Duแบฉn . Theo thรดng_tin ban_ฤ‘แบงu , ngay sau khi vร o_cuแป™c ฤ‘iแปu_tra , ฤแป™i cแบฃnh_sรกt Hรฌnh_sแปฑ Cรดng_an quแบญn Hแบฃi_Chรขu nแบฏm thรดng_tin ฤ‘แป‘i_tฦฐแปฃng nร y ฤ‘ang trรชn xe ฤ‘i vร o phรญa Nam nรชn phแป‘i_hแปฃp vแป›i Cรดng_an tแป‰nh Phรบ_Yรชn bแบฏt_giแปฏ . Danh_tรญnh cแปงa nghi phแบกm chฦฐa ฤ‘ฦฐแปฃc tiแบฟt_lแป™ . Hiแป‡n , cฦก_quan cรดng_an ฤ‘ang tiแบฟn_hร nh di_lรฝ ฤ‘แป‘i_tฦฐแปฃng vแป ฤร _Nแบตng ฤ‘แปƒ phแปฅc_vแปฅ cรดng_tรกc ฤ‘iแปu_tra . Trฦฐแป›c ฤ‘รณ , khoแบฃng 15h ngร y 23 / 3 , trong lรบc kiแปƒm_tra cรกc cรขy ATM gแบทp sแปฑ_cแป‘ , nhรขn_viรชn Ngรขn_hร ng Thฦฐฦกng_mแบกi CP ฤรดng_ร phรกt_hiแป‡n trแปฅ ATM trรชn ฤ‘ฦฐแปng Lรช_Duแบฉn ( quแบญn Hแบฃi_Chรขu ) bแป‹ kแบป_gian ฤ‘แบญp phรก nรชn trรฌnh_bรกo_cรดng_an . Cรขy ATM bแป‹ cแบกy phรก , hฦฐ_hแปng hoร n_toร n . Kรฉt sแบฏt chแปฉa tiแปn bแป‹ kแบป_gian lแบฅy mแบฅt , hแป‡_thแป‘ng ฤ‘iแป‡n cลฉng bแป‹ sแปฑ_cแป‘ .'],
    ['Huแปณnh Vฤƒn Hoร ng cรณ bแป‹ bแบฏt vรฌ ฤ‘รกnh 21 cรกi khiแบฟn mแป™t phแปฅ nแปฏ tแปญ vong khรดng?\n', '(NLฤO) โ€“ Theo camera cแปงa nhร  ngฦฐแปi dรขn แปŸ tแป‰nh Tiแปn Giang ghi lแบกi, Huแปณnh Vฤƒn Hoร ng ฤ‘รฃ ฤ‘รกnh tแป•ng cแป™ng 21 cรกi vร o ngฦฐแปi bร  P. khiแบฟn nแบกn nhรขn tแปญ vong. Ngร y 28-3, Cรดng an huyแป‡n Chรขu Thร nh, tแป‰nh Tiแปn Giang ฤ‘รฃ bแบฏt khแบฉn cแบฅp Huแปณnh Vฤƒn Hoร ng (SN 1970; ngแปฅ xรฃ Tรขn Hฦฐฦกng, huyแป‡n Chรขu Thร nh) ฤ‘แปƒ ฤ‘iแปu tra vแป hร nh vi giแบฟt ngฦฐแปi. Hiแป‡n trฦฐแปng xแบฃy ra vแปฅ viแป‡c. แบขnh cแบฏt ra tแปซ clip Theo thรดng tin ban ฤ‘แบงu, chiแปu 27-3, bร  Trแบงn Ngแปc P. (SN 1955) xแบฃy ra mรขu thuแบซn vแป›i Hoร ng. Hoร ng cแบงm khรบc cรขy ฤ‘แบฟn nhร  bร  P. tแบกi ฤ‘oแบกn ฤ‘ฦฐแปng nรดng thรดn thuแป™c แบฅp Tรขn Thแบกnh, xรฃ Tรขn Hฦฐฦกng. Lรบc nร y, bร  P. cลฉng cแบงm khรบc cรขy thรกch ฤ‘รกnh nhau vแป›i Hoร ng. Hแบญu quแบฃ, bร  P. ฤ‘รฃ bแป‹ Hoร ng ฤ‘รกnh gแปฅc tแบกi chแป—. Theo camera cแปงa nhร  ngฦฐแปi dรขn ghi lแบกi, Hoร ng ฤ‘รฃ ฤ‘รกnh tแป•ng cแป™ng 21 cรกi vร o ngฦฐแปi bร  P. Vแปฅ viแป‡c chแป‰ dแปซng lแบกi khi cรณ ngฦฐแปi ฤ‘แบฟn can ngฤƒn. Bร  P. ฤ‘ฦฐแปฃc ฤ‘ฦฐa ฤ‘แบฟn bแป‡nh viแป‡n cแบฅp cแปฉu nhฦฐng tแปญ vong vร o khoแบฃng 2 giแป sรกng 28-3.'],
]
scores = model.predict(pairs)
print(scores.shape)
# (5,)

# Or rank different texts based on similarity to a single text
ranks = model.rank(
    'Tรญnh ฤ‘แบฟn sรกng ngร y 28/3, ba nแบกn nhรขn nร o ฤ‘รฃ tแปญ vong trong vแปฅ nแป• ฤ‘แบงu ฤ‘แบกn tแบกi thรดn Kon ฤao Yรดp?\n',
    [
        '( NLฤO ) โ€“ Mแป™t ngฦฐแปi ฤ‘ร n_รดng 41 tuแป•i vแปซa bแป‹ bแบฏt do liรชn_quan vแปฅ รกn ngฦฐแปi_mแบซu Hแป“ng_Kรดng - Trung_Quแป‘c Abby_Choi ( Thรกi_Thiรชn_Phฦฐแปฃng ) bแป‹ giแบฟt vร  phรขn xรกc . ฤรขy lร  ngฦฐแปi thแปฉ 6 liรชn_quan bแป‹ bแบฏt_giแปฏ Trang_South China_Morning_Post ngร y 2 - 3 dแบซn mแป™t nguแป“n tin cho biแบฟt ngฦฐแปi ฤ‘ร n_รดng nร y bแป‹ bแบฏt vรฌ nghi_ngแป hแป—_trแปฃ , tiแบฟp_tay cho mแป™t nghi phแบกm . Chi_tiแบฟt vแปฅ_viแป‡c chฦฐa ฤ‘ฦฐแปฃc cรดng_bแป‘ . Tin_tแปฉc ฤ‘ฦฐแปฃc ฤ‘ฦฐa ra khi hฦกn 120 cแบฃnh_sรกt rร _soรกt bรฃi rรกc , tรฌm_kiแบฟm phแบงn cรกnh_tay vร  phแบงn thรขn cแปงa thi_thแปƒ Abby_Choi . Viแป‡c tรฌm_kiแบฟm diแป…n ra suแป‘t 3 ngร y qua nhฦฐng chฦฐa tรฌm thแบฅy nhแปฏng phแบงn thi_thแปƒ cรฒn lแบกi cแปงa Abby_Choi . Tแป‘i 2 - 3 , cแบฃnh_sรกt quay lแบกi hiแป‡n_trฦฐแปng vแปฅ รกn , tแปฉc tแบงng trแป‡t cแปงa ngรดi nhร  3 tแบงng แปŸ lร ng Lung Mei_Tsuen , quแบญn Tai_Po ฤ‘แปƒ tรฌm_kiแบฟm lแบงn cuแป‘i . ฤรขy lร  nฦกi cแบฃnh_sรกt phรกt_hiแป‡n 2 chรขn phแปฅ_nแปฏ trong tแปง_lแบกnh , mแป™t_sแป‘ vแบญt_dแปฅng cแปงa Abby_Choi , 2 nแป“i sรบp mร  mแป™t trong ฤ‘รณ cรณ ฤ‘แบงu , xฦฐฦกng sฦฐแปn nแบกn_nhรขn . Abby_Choi ( Thรกi_Thiรชn_Phฦฐแปฃng ) bแป‹ giแบฟt , phรขn xรกc แปŸ tuแป•i 28 Nghi phแบกm thแปฉ 5 cแปงa vแปฅ รกn lร  mแป™t phแปฅ_nแปฏ 47 tuแป•i , nhรขn_viรชn mรกt - xa , bแป‹ nghi lร  ngฦฐแปi_tรฌnh cแปงa bแป‘ chแป“ng cลฉ Abby_Choi . Cแบฃ hai yรชu nhau ฤ‘ฦฐแปฃc khoแบฃng 6 thรกng . Ngฦฐแปi nร y bแป‹_cรกo_buแป™c hแป—_trแปฃ , tiแบฟp_tay cho nghi phแบกm . Cแปฅ_thแปƒ , ngฦฐแปi phแปฅ_nแปฏ nร y ฤ‘รฃ giรบp bแป‘ chแป“ng cลฉ Abby Choi thuรช cฤƒn nhร  tแบกi lร ng Lung Mei_Tsuen . Ngฦฐแปi nร y cลฉng thuรช mแป™t cฤƒn_hแป™ sang_trแปng khรกc ฤ‘แปƒ chแป“ng cลฉ Abby Choi lแบฉn_trแป‘n trฦฐแป›c khi bแป‹ bแบฏt . Ngฦฐแปi phแปฅ_nแปฏ nร y ฤ‘รฃ ฤ‘ฦฐแปฃc tแบกi_ngoแบกi chแป ฤ‘iแปu_tra thรชm nhฦฐng phแบฃi ฤ‘แบฟn bรกo_cรกo vแป›i cแบฃnh_sรกt vร o cuแป‘i thรกng . Viแป‡c tรฌm_kiแบฟm ฤ‘แปง cรกc phแบงn thi_thแปƒ , ฤ‘แบทc_biแป‡t lร  tay vร  chรขn , ฤ‘ฦฐแปฃc ฤ‘รกnh_giรก rแบฅt quan_trแปng ฤ‘แปƒ xรกc_ฤ‘แป‹nh tแป™i_danh cแปงa gia_ฤ‘รฌnh chแป“ng cลฉ nแบกn_nhรขn . Ngoร i_ra , nhแปฏng vแบญt_dแปฅng nhฦฐ ฤ‘iแป‡n_thoแบกi , quแบงn_รกo , hung_khรญ cลฉng quan_trแปng khรดng kรฉm . Nแบฟu cแบฃnh_sรกt khรดng thu_thแบญp ฤ‘แปง chแปฉng_cแปฉ hแปฏu_hiแป‡u cho vแปฅ รกn sแบฝ khรณ ฤ‘แป‹nh_tแป™i giแบฟt ngฦฐแปi tแบกi phiรชn_tรฒa tiแบฟp_theo . Luแบญt Hแป“ng_Kรดng - Trung_Quแป‘c cรณ quy_ฤ‘แป‹nh vแป nguyรชn_tแบฏc " nghi ฤ‘iแปƒm lแปฃi_รญch thuแป™c vแป bแป‹_cรกo " . Nghฤฉa_lร  nแบฟu trong vแปฅ รกn cรณ tรฌnh_tiแบฟt khรดng_thแปƒ lร m rรต hoแบทc khรดng chแบฏc_chแบฏn thรฌ sแบฝ trแปŸ_thร nh ฤ‘iแปƒm cรณ lแปฃi cho bแป‹_cรกo . Vรฌ_thแบฟ , phรญa gia_ฤ‘รฌnh chแป“ng cลฉ cแปงa Abby Choi dรน bแป‹ bแบฏt vแบซn quyแบฟt khรดng khai ฤ‘แป‹a_ฤ‘iแปƒm giแบฅu cรกc phแบงn thi_thแปƒ nแบกn_nhรขn . Hiแป‡n_trฦฐแปng vแปฅ รกn - nฦกi cแบฃnh_sรกt phรกt_hiแป‡n cรกc phแบงn thi_thแปƒ cแปงa Abby Choi_Hoa vร  tรกo ฤ‘ฦฐแปฃc ฤ‘แบทt xung_quanh Cแบฃnh_sรกt vแบซn tรญch_cแปฑc tรฌm_kiแบฟm cรกc phแบงn cรฒn lแบกi thi_thแปƒ Abby Choi Bรกc_sฤฉ phรกp_y nแป•i_tiแบฟng ngฦฐแปi ฤร i_Loan - Trung_Quแป‘c Cao ฤแบกi_Thร nh lรฝ_giแบฃi kแบป sรกt_nhรขn hร nh_ฤ‘แป™ng man_rแปฃ vแป›i thi_thแปƒ nแบกn_nhรขn vรฌ muแป‘n gรขy khรณ_khฤƒn cho cฦก_quan ฤ‘iแปu_tra trong viแป‡c xรฉt_nghiแป‡m ADN. Viแป‡c xแปญ_lรฝ phแบงn ฤ‘แบงu , tแปฉ_chi lร  ฤ‘แปƒ tฤƒng ฤ‘แป™ khรณ khi nhแบญn_dแบกng , lแบฅy dแบฅu vรขn tay โ€ฆ Cแบฃnh_sรกt ฤ‘รฃ bแบฏt_giแปฏ 5 nghi phแบกm trong vแปฅ รกn giแบฟt ngฦฐแปi_mแบซu Abby_Choi . Trong ฤ‘รณ , รดng Kwong_Kau ( 65 tuแป•i , bแป‘ chแป“ng cลฉ ) , Anthony_Kwong ( 31 tuแป•i , anh_trai cแปงa chแป“ng cลฉ ) vร  Alex_Kwon ( 28 tuแป•i , chแป“ng cลฉ ) bแป‹ buแป™c_tแป™i giแบฟt ngฦฐแปi . Bร  Jenny_Li ( 63 tuแป•i , mแบน chแป“ng cลฉ ) bแป‹ buแป™c_tแป™i cแบฃn_trแปŸ , lร m sai_lแป‡ch tiแบฟn_trรฌnh ฤ‘iแปu_tra . Mแป™t phแปฅ_nแปฏ 47 tuแป•i , bแป‹ nghi lร  ngฦฐแปi_tรฌnh cแปงa รดng Kwong_Kau , ฤ‘ang bแป‹ cแบฃnh_sรกt thแบฉm_vแบฅn . Ngฦฐแปi phแปฅ_nแปฏ nร y ฤ‘รฃ giรบp รดng Kwong Kau thuรช tแบงng trแป‡t ngรดi nhร  hiแป‡n lร  hiแป‡n_trฦฐแปng vแปฅ รกn vร  cลฉng lร  ngฦฐแปi ฤ‘รฃ thuรช mแป™t cฤƒn_hแป™ khรกc giรบp Alex_Kwon lแบฉn_trแป‘n . Tรฒa dแปฑ_kiแบฟn xรฉt_xแปญ tiแบฟp vแปฅ รกn vร o ngร y 8 - 5 .',
        '( NLฤO ) - Thแบฅy bรฉ gรกi ฤ‘แปฉng chฦกi trฦฐแป›c nhร  mร  khรดng cรณ ngฦฐแปi trรดng giแปฏ , Thuรขn ฤ‘รฃ bแบฏt chรกu bรฉ lรชn nhร  vร  thแปฑc_hiแป‡n_hร nh_vi hiแบฟp_dรขm ฤ‘แป“i_bแบกi . Tแบกi phiรชn_toร  sฦก_thแบฉm ngร y 28 - 3 , TAND tแป‰nh An_Giang tuyรชn_phแบกt bแป‹_cรกo Nguyแป…n_Vฤƒn_Thuรขn ( SN 1949 ; ngแปฅ xรฃ ฤa_Phฦฐแป›c , huyแป‡n An_Phรบ , tแป‰nh An_Giang ) 13 nฤƒm tรน vแป tแป™i " Hiแบฟp_dรขm ngฦฐแปi dฦฐแป›i 16 tuแป•i " ; ฤ‘แป“ng_thแปi buแป™c bแป‹_cรกo bแป“i_thฦฐแปng tแป•n_thแบฅt tinh_thแบงn cho bแป‹ hแบกi 20 triแป‡u ฤ‘แป“ng . Bแป‹_cรกo Nguyแป…n_Vฤƒn_Thuรขn . Theo cรกo_trแบกng , khoแบฃng 15 giแป ngร y 10 - 12 - 2022 , bร  ฤแป—_Thแป‹ S. dแบซn chรกu nแป™i tรชn N. ( SN 2018 ) ra cแบทp bแป sรดng ( thuแป™c xรฃ ฤa_Phฦฐแป›c ) chฦกi lรด_tรด . Khoแบฃng 30 phรบt sau , Thuรขn thแบฅy chรกu N. ฤ‘ang chฦกi trฦฐแป›c cแปญa_nhร  Thuรขn vร  khรดng cรณ ngฦฐแปi trรดng giแปฏ , nรชn nแบฃy_sinh รฝ_ฤ‘แป‹nh hiแบฟp_dรขm chรกu N. Quang_cแบฃnh phiรชn_tรฒa . ฤแปƒ thแปฑc_hiแป‡n , Thuรขn ra bแบฟ chรกu N. lรชn hร ng ba nhร  mรฌnh , rแป“i thแปฑc_hiแป‡n_hร nh_vi ฤ‘แป“i_bแบกi ฤ‘แป‘i_vแป›i chรกu bรฉ . Bแป‹ ฤ‘au , chรกu bรฉ bแป chแบกy ra chแป— bร  nแป™i . Khi vแป ฤ‘แบฟn nhร  , bร  S. phรกt_hiแป‡n vร  nghi_ngแป Thuรขn xรขm_hแบกi tรฌnh_dแปฅc chรกu N. nรชn ฤ‘แบฟn Cรดng_an xรฃ ฤa_Phฦฐแป›c trรฌnh_bรกo . Ngay sau ฤ‘รณ , Thuรขn bแป‹ bแบฏt_giแปฏ . Tแบกi cฦก_quan cรดng_an , Thuรขn thแปซa_nhแบญn toร n_bแป™_hร nh_vi phแบกm_tแป™i cแปงa mรฌnh .',
        '( NLฤO ) - Vแป dแป‹ch COVID - 19 hรดm_nay 22 - 3 , Bแป™ Y_tแบฟ cho biแบฟt sแป‘ ca mแบฏc COVID - 19 lแบกi tฤƒng trong 24 giแป qua . Bแป™ Y_tแบฟ cแบฃnh_bรกo nguy_cฦก xรขm_nhแบญp , lรขy_lan cแปงa cรกc tรกc_nhรขn gรขy bแป‡nh luรดn tiแปm_แบฉn Vแป tรฌnh_hรฌnh dแป‹ch COVID - 19 hรดm_nay , Bแป™ Y_tแบฟ cho biแบฟt tแปซ 16 giแป ngร y 21 - 3 ฤ‘แบฟn 16 giแป ngร y 22 - 3 , cแบฃ nฦฐแป›c ghi_nhแบญn 18 ca mแบฏc , tฤƒng so vแป›i ngร y trฦฐแป›c ฤ‘รณ . Kแปƒ tแปซ ฤ‘แบงu dแป‹ch ฤ‘แบฟn nay Viแป‡t_Nam cรณ 11.527.175 ca nhiแป…m , ฤ‘แปฉng thแปฉ 13 / 230 quแป‘c_gia vร  vรนng lรฃnh_thแป• , trong khi vแป›i tแป‰_lแป‡ sแป‘ ca nhiแป…m / 1 triแป‡u dรขn , Viแป‡t_Nam ฤ‘แปฉng thแปฉ 117 / 230 quแป‘c_gia vร  vรนng lรฃnh_thแป• ( bรฌnh_quรขn cแปฉ 1 triแป‡u ngฦฐแปi cรณ 116.491 ca nhiแป…m ) . Biแปƒu_ฤ‘แป“ dแป‹ch COVID - 19 Trong ngร y , cรณ thรชm 14 bแป‡nh_nhรขn ฤ‘ฦฐแปฃc cรดng_bแป‘ khแปi bแป‡nh , nรขng tแป•ng_sแป‘ ca ฤ‘ฦฐแปฃc ฤ‘iแปu_trแป‹ khแปi lรชn 10.614.875 ca . Sแป‘ bแป‡nh_nhรขn ฤ‘ang thแปŸ รดxy lร  4 ca . Tแป•ng_sแป‘ ca tแปญ_vong do COVID - 19 tแบกi Viแป‡t_Nam_tรญnh ฤ‘แบฟn nay lร  43.186 ca , chiแบฟm tแป‰_lแป‡ 0,4 % so vแป›i tแป•ng_sแป‘ ca nhiแป…m . Tแป•ng_sแป‘ ca tแปญ_vong xแบฟp thแปฉ 26 / 230 vรนng lรฃnh_thแป• , sแป‘ ca tแปญ_vong trรชn 1 triแป‡u dรขn xแบฟp thแปฉ 139 / 230 quแป‘c_gia , vรนng lรฃnh_thแป• trรชn thแบฟ_giแป›i . Ngร y 21 - 3 cรณ 4.878 liแปu vแบฏc - xin phรฒng COVID - 19 ฤ‘ฦฐแปฃc tiรชm . Nhฦฐ_vแบญy , tแป•ng_sแป‘ liแปu vแบฏc - xin ฤ‘รฃ ฤ‘ฦฐแปฃc tiรชm lร  265.927.459 liแปu . Ngร y 22 - 3 , Bแป™ Y_tแบฟ ฤ‘รฃ cรณ vฤƒn_bแบฃn gแปญi UBND cรกc tแป‰nh , thร nh_phแป‘ vแป viแป‡c tแป•_chแปฉc triแปƒn_khai kแบฟ_hoแบกch phรฒng , chแป‘ng dแป‹ch_bแป‡nh truyแปn_nhiแป…m , nhแบฅt_lร  dแป‹ch COVID - 19 . Theo Bแป™ Y_tแบฟ , tรฌnh_hรฌnh dแป‹ch_bแป‡nh truyแปn_nhiแป…m trรชn toร n_cแบงu hiแป‡n_nay ฤ‘ฦฐแปฃc dแปฑ_bรกo vแบซn diแป…n_biแบฟn khรณ lฦฐแปng . Dแป‹ch COVID - 19 hiแป‡n vแบซn lร  tรฌnh_trแบกng khแบฉn_cแบฅp vแป sแปฉc_khแปe cแป™ng_ฤ‘แป“ng quแป‘c_tแบฟ , tiแปm_แบฉn nguy_cฦก bรนng_phรกt vแป›i cรกc biแปƒn thแปƒ mแป›i , nhแบฅt_lร  khi cรกc quแป‘c_gia nแป›i lแปng cรกc biแป‡n_phรกp phรฒng , chแป‘ng dแป‹ch vร  thแปฑc_hiแป‡n cรกc chรญnh_sรกch mแปŸ_cแปญa ฤ‘แปƒ phรกt_triแปƒn kinh_tแบฟ xรฃ_hแป™i , giao_thฦฐฦกng , du_lแป‹ch . Cรกc bแป‡nh truyแปn_nhiแป…m nguy_hiแปƒm , mแป›i nแป•i tiแบฟp_tแปฅc xuแบฅt_hiแป‡n vร  lรขy_lan nhฦฐ bแป‡nh Marburg tแบกi khu_vแปฑc Chรขu_Phi , cรบm A / H5N1 tแบกi Campuchia ... Cรกc tรกc_nhรขn gรขy bแป‡nh , cรกc chแปงng virus cรบm liรชn_tแปฅc biแบฟn_ฤ‘แป•i lร m giแบฃm khแบฃ_nฤƒng bแบฃo_vแป‡ cแปงa vแบฏc - xin , tiแปm_แบฉn nguy_cฦก ฤ‘แบกi_dแป‹ch . Bแป™ Y_tแบฟ cho biแบฟt dแป‹ch COVID - 19 vร  cรกc bแป‡nh truyแปn_nhiแป…m khรกc cฦก_bแบฃn vแบซn ฤ‘ang ฤ‘ฦฐแปฃc kiแปƒm_soรกt , tuy_nhiรชn nguy_cฦก xรขm_nhแบญp , lรขy_lan cแปงa cรกc tรกc_nhรขn gรขy bแป‡nh luรดn tiแปm_แบฉn , nhแบฅt_lร  trong bแป‘i_cแบฃnh nhu_cแบงu giao_thฦฐฦกng , du_lแป‹ch tฤƒng cao ; ฤ‘แป“ng_thแปi mแป™t_sแป‘ bแป‡nh truyแปn_nhiแป…m lฦฐu_hร nh nhฦฐ tay_chรขn miแป‡ng , sแป‘t_xuแบฅt_huyแบฟt ... cรณ nguy_cฦก gia_tฤƒng sแป‘ mแบฏc .',
        'TPO - Sรกng 25 / 3 , lรฃnh_ฤ‘แบกo Cรดng_an quแบญn Hแบฃi_Chรขu ( TP ฤร _Nแบตng ) cho biแบฟt , ฤ‘รฃ bแบฏt ฤ‘ฦฐแปฃc ฤ‘แป‘i_tฦฐแปฃng ฤ‘แบญp phรก cรขy ATM Ngรขn_hร ng Thฦฐฦกng_mแบกi CP ฤรดng_ร trรชn ฤ‘ฦฐแปng Lรช Duแบฉn . Theo thรดng_tin ban_ฤ‘แบงu , ngay sau khi vร o_cuแป™c ฤ‘iแปu_tra , ฤแป™i cแบฃnh_sรกt Hรฌnh_sแปฑ Cรดng_an quแบญn Hแบฃi_Chรขu nแบฏm thรดng_tin ฤ‘แป‘i_tฦฐแปฃng nร y ฤ‘ang trรชn xe ฤ‘i vร o phรญa Nam nรชn phแป‘i_hแปฃp vแป›i Cรดng_an tแป‰nh Phรบ_Yรชn bแบฏt_giแปฏ . Danh_tรญnh cแปงa nghi phแบกm chฦฐa ฤ‘ฦฐแปฃc tiแบฟt_lแป™ . Hiแป‡n , cฦก_quan cรดng_an ฤ‘ang tiแบฟn_hร nh di_lรฝ ฤ‘แป‘i_tฦฐแปฃng vแป ฤร _Nแบตng ฤ‘แปƒ phแปฅc_vแปฅ cรดng_tรกc ฤ‘iแปu_tra . Trฦฐแป›c ฤ‘รณ , khoแบฃng 15h ngร y 23 / 3 , trong lรบc kiแปƒm_tra cรกc cรขy ATM gแบทp sแปฑ_cแป‘ , nhรขn_viรชn Ngรขn_hร ng Thฦฐฦกng_mแบกi CP ฤรดng_ร phรกt_hiแป‡n trแปฅ ATM trรชn ฤ‘ฦฐแปng Lรช_Duแบฉn ( quแบญn Hแบฃi_Chรขu ) bแป‹ kแบป_gian ฤ‘แบญp phรก nรชn trรฌnh_bรกo_cรดng_an . Cรขy ATM bแป‹ cแบกy phรก , hฦฐ_hแปng hoร n_toร n . Kรฉt sแบฏt chแปฉa tiแปn bแป‹ kแบป_gian lแบฅy mแบฅt , hแป‡_thแป‘ng ฤ‘iแป‡n cลฉng bแป‹ sแปฑ_cแป‘ .',
        '(NLฤO) โ€“ Theo camera cแปงa nhร  ngฦฐแปi dรขn แปŸ tแป‰nh Tiแปn Giang ghi lแบกi, Huแปณnh Vฤƒn Hoร ng ฤ‘รฃ ฤ‘รกnh tแป•ng cแป™ng 21 cรกi vร o ngฦฐแปi bร  P. khiแบฟn nแบกn nhรขn tแปญ vong. Ngร y 28-3, Cรดng an huyแป‡n Chรขu Thร nh, tแป‰nh Tiแปn Giang ฤ‘รฃ bแบฏt khแบฉn cแบฅp Huแปณnh Vฤƒn Hoร ng (SN 1970; ngแปฅ xรฃ Tรขn Hฦฐฦกng, huyแป‡n Chรขu Thร nh) ฤ‘แปƒ ฤ‘iแปu tra vแป hร nh vi giแบฟt ngฦฐแปi. Hiแป‡n trฦฐแปng xแบฃy ra vแปฅ viแป‡c. แบขnh cแบฏt ra tแปซ clip Theo thรดng tin ban ฤ‘แบงu, chiแปu 27-3, bร  Trแบงn Ngแปc P. (SN 1955) xแบฃy ra mรขu thuแบซn vแป›i Hoร ng. Hoร ng cแบงm khรบc cรขy ฤ‘แบฟn nhร  bร  P. tแบกi ฤ‘oแบกn ฤ‘ฦฐแปng nรดng thรดn thuแป™c แบฅp Tรขn Thแบกnh, xรฃ Tรขn Hฦฐฦกng. Lรบc nร y, bร  P. cลฉng cแบงm khรบc cรขy thรกch ฤ‘รกnh nhau vแป›i Hoร ng. Hแบญu quแบฃ, bร  P. ฤ‘รฃ bแป‹ Hoร ng ฤ‘รกnh gแปฅc tแบกi chแป—. Theo camera cแปงa nhร  ngฦฐแปi dรขn ghi lแบกi, Hoร ng ฤ‘รฃ ฤ‘รกnh tแป•ng cแป™ng 21 cรกi vร o ngฦฐแปi bร  P. Vแปฅ viแป‡c chแป‰ dแปซng lแบกi khi cรณ ngฦฐแปi ฤ‘แบฟn can ngฤƒn. Bร  P. ฤ‘ฦฐแปฃc ฤ‘ฦฐa ฤ‘แบฟn bแป‡nh viแป‡n cแบฅp cแปฉu nhฦฐng tแปญ vong vร o khoแบฃng 2 giแป sรกng 28-3.',
    ]
)
# [{'corpus_id': ..., 'score': ...}, {'corpus_id': ..., 'score': ...}, ...]

Evaluation

Metrics

Cross Encoder Binary Classification

Metric Value
accuracy 1.0
accuracy_threshold 0.0001
f1 1.0
f1_threshold 0.0001
precision 1.0
recall 1.0
average_precision 1.0

Training Details

Training Dataset

Unnamed Dataset

  • Size: 56,771 training samples
  • Columns: sentence_0, sentence_1, and label
  • Approximate statistics based on the first 1000 samples:
    sentence_0 sentence_1 label
    type string string int
    details
    • min: 36 characters
    • mean: 122.05 characters
    • max: 276 characters
    • min: 749 characters
    • mean: 3183.01 characters
    • max: 15949 characters
    • 0: ~91.00%
    • 1: ~9.00%
  • Samples:
    sentence_0 sentence_1 label
    Tรญnh ฤ‘แบฟn sรกng ngร y 28/3, ba nแบกn nhรขn nร o ฤ‘รฃ tแปญ vong trong vแปฅ nแป• ฤ‘แบงu ฤ‘แบกn tแบกi thรดn Kon ฤao Yรดp?
    ( NLฤO ) โ€“ Mแป™t ngฦฐแปi ฤ‘ร n_รดng 41 tuแป•i vแปซa bแป‹ bแบฏt do liรชn_quan vแปฅ รกn ngฦฐแปi_mแบซu Hแป“ng_Kรดng - Trung_Quแป‘c Abby_Choi ( Thรกi_Thiรชn_Phฦฐแปฃng ) bแป‹ giแบฟt vร  phรขn xรกc . ฤรขy lร  ngฦฐแปi thแปฉ 6 liรชn_quan bแป‹ bแบฏt_giแปฏ Trang_South China_Morning_Post ngร y 2 - 3 dแบซn mแป™t nguแป“n tin cho biแบฟt ngฦฐแปi ฤ‘ร n_รดng nร y bแป‹ bแบฏt vรฌ nghi_ngแป hแป—_trแปฃ , tiแบฟp_tay cho mแป™t nghi phแบกm . Chi_tiแบฟt vแปฅ_viแป‡c chฦฐa ฤ‘ฦฐแปฃc cรดng_bแป‘ . Tin_tแปฉc ฤ‘ฦฐแปฃc ฤ‘ฦฐa ra khi hฦกn 120 cแบฃnh_sรกt rร _soรกt bรฃi rรกc , tรฌm_kiแบฟm phแบงn cรกnh_tay vร  phแบงn thรขn cแปงa thi_thแปƒ Abby_Choi . Viแป‡c tรฌm_kiแบฟm diแป…n ra suแป‘t 3 ngร y qua nhฦฐng chฦฐa tรฌm thแบฅy nhแปฏng phแบงn thi_thแปƒ cรฒn lแบกi cแปงa Abby_Choi . Tแป‘i 2 - 3 , cแบฃnh_sรกt quay lแบกi hiแป‡n_trฦฐแปng vแปฅ รกn , tแปฉc tแบงng trแป‡t cแปงa ngรดi nhร  3 tแบงng แปŸ lร ng Lung Mei_Tsuen , quแบญn Tai_Po ฤ‘แปƒ tรฌm_kiแบฟm lแบงn cuแป‘i . ฤรขy lร  nฦกi cแบฃnh_sรกt phรกt_hiแป‡n 2 chรขn phแปฅ_nแปฏ trong tแปง_lแบกnh , mแป™t_sแป‘ vแบญt_dแปฅng cแปงa Abby_Choi , 2 nแป“i sรบp mร  mแป™t trong ฤ‘รณ cรณ ฤ‘แบงu , xฦฐฦกng sฦฐแปn nแบกn_nhรขn . Abby_Choi ( Thรกi_Thiรชn_Phฦฐแปฃng ) bแป‹ giแบฟt , phรขn xรกc แปŸ tuแป•i 28 Nghi phแบกm thแปฉ 5 cแปงa vแปฅ รกn lร  mแป™t phแปฅ_nแปฏ 47 tuแป•i , nh... 0
    Nguyรชn nhรขn dแบซn ฤ‘แบฟn viแป‡c รดng Hoร ng giแบฟt bร  P. lร  gรฌ?
    ( NLฤO ) - Thแบฅy bรฉ gรกi ฤ‘แปฉng chฦกi trฦฐแป›c nhร  mร  khรดng cรณ ngฦฐแปi trรดng giแปฏ , Thuรขn ฤ‘รฃ bแบฏt chรกu bรฉ lรชn nhร  vร  thแปฑc_hiแป‡n_hร nh_vi hiแบฟp_dรขm ฤ‘แป“i_bแบกi . Tแบกi phiรชn_toร  sฦก_thแบฉm ngร y 28 - 3 , TAND tแป‰nh An_Giang tuyรชn_phแบกt bแป‹_cรกo Nguyแป…n_Vฤƒn_Thuรขn ( SN 1949 ; ngแปฅ xรฃ ฤa_Phฦฐแป›c , huyแป‡n An_Phรบ , tแป‰nh An_Giang ) 13 nฤƒm tรน vแป tแป™i " Hiแบฟp_dรขm ngฦฐแปi dฦฐแป›i 16 tuแป•i " ; ฤ‘แป“ng_thแปi buแป™c bแป‹_cรกo bแป“i_thฦฐแปng tแป•n_thแบฅt tinh_thแบงn cho bแป‹ hแบกi 20 triแป‡u ฤ‘แป“ng . Bแป‹_cรกo Nguyแป…n_Vฤƒn_Thuรขn . Theo cรกo_trแบกng , khoแบฃng 15 giแป ngร y 10 - 12 - 2022 , bร  ฤแป—_Thแป‹ S. dแบซn chรกu nแป™i tรชn N. ( SN 2018 ) ra cแบทp bแป sรดng ( thuแป™c xรฃ ฤa_Phฦฐแป›c ) chฦกi lรด_tรด . Khoแบฃng 30 phรบt sau , Thuรขn thแบฅy chรกu N. ฤ‘ang chฦกi trฦฐแป›c cแปญa_nhร  Thuรขn vร  khรดng cรณ ngฦฐแปi trรดng giแปฏ , nรชn nแบฃy_sinh รฝ_ฤ‘แป‹nh hiแบฟp_dรขm chรกu N. Quang_cแบฃnh phiรชn_tรฒa . ฤแปƒ thแปฑc_hiแป‡n , Thuรขn ra bแบฟ chรกu N. lรชn hร ng ba nhร  mรฌnh , rแป“i thแปฑc_hiแป‡n_hร nh_vi ฤ‘แป“i_bแบกi ฤ‘แป‘i_vแป›i chรกu bรฉ . Bแป‹ ฤ‘au , chรกu bรฉ bแป chแบกy ra chแป— bร  nแป™i . Khi vแป ฤ‘แบฟn nhร  , bร  S. phรกt_hiแป‡n vร  nghi_ngแป Thuรขn xรขm_hแบกi tรฌnh_dแปฅc chรกu N. nรชn ฤ‘แบฟn Cรดng_an xรฃ ฤ... 0
    Vรฌ sao WHO xแบฟp Viแป‡t Nam vร o nhรณm nguy cฦก cao xรขm nhแบญp bแบกi liแป‡t vร o thรกng 11/2022, trong khi cรกc nฦฐแป›c khรกc vแบซn แปŸ nhรณm cลฉ?
    ( NLฤO ) - Vแป dแป‹ch COVID - 19 hรดm_nay 22 - 3 , Bแป™ Y_tแบฟ cho biแบฟt sแป‘ ca mแบฏc COVID - 19 lแบกi tฤƒng trong 24 giแป qua . Bแป™ Y_tแบฟ cแบฃnh_bรกo nguy_cฦก xรขm_nhแบญp , lรขy_lan cแปงa cรกc tรกc_nhรขn gรขy bแป‡nh luรดn tiแปm_แบฉn Vแป tรฌnh_hรฌnh dแป‹ch COVID - 19 hรดm_nay , Bแป™ Y_tแบฟ cho biแบฟt tแปซ 16 giแป ngร y 21 - 3 ฤ‘แบฟn 16 giแป ngร y 22 - 3 , cแบฃ nฦฐแป›c ghi_nhแบญn 18 ca mแบฏc , tฤƒng so vแป›i ngร y trฦฐแป›c ฤ‘รณ . Kแปƒ tแปซ ฤ‘แบงu dแป‹ch ฤ‘แบฟn nay Viแป‡t_Nam cรณ 11.527.175 ca nhiแป…m , ฤ‘แปฉng thแปฉ 13 / 230 quแป‘c_gia vร  vรนng lรฃnh_thแป• , trong khi vแป›i tแป‰_lแป‡ sแป‘ ca nhiแป…m / 1 triแป‡u dรขn , Viแป‡t_Nam ฤ‘แปฉng thแปฉ 117 / 230 quแป‘c_gia vร  vรนng lรฃnh_thแป• ( bรฌnh_quรขn cแปฉ 1 triแป‡u ngฦฐแปi cรณ 116.491 ca nhiแป…m ) . Biแปƒu_ฤ‘แป“ dแป‹ch COVID - 19 Trong ngร y , cรณ thรชm 14 bแป‡nh_nhรขn ฤ‘ฦฐแปฃc cรดng_bแป‘ khแปi bแป‡nh , nรขng tแป•ng_sแป‘ ca ฤ‘ฦฐแปฃc ฤ‘iแปu_trแป‹ khแปi lรชn 10.614.875 ca . Sแป‘ bแป‡nh_nhรขn ฤ‘ang thแปŸ รดxy lร  4 ca . Tแป•ng_sแป‘ ca tแปญ_vong do COVID - 19 tแบกi Viแป‡t_Nam_tรญnh ฤ‘แบฟn nay lร  43.186 ca , chiแบฟm tแป‰_lแป‡ 0,4 % so vแป›i tแป•ng_sแป‘ ca nhiแป…m . Tแป•ng_sแป‘ ca tแปญ_vong xแบฟp thแปฉ 26 / 230 vรนng lรฃnh_thแป• , sแป‘ ca tแปญ_vong trรชn 1 triแป‡u dรขn xแบฟp thแปฉ 139... 0
  • Loss: BinaryCrossEntropyLoss with these parameters:
    {
        "activation_fn": "torch.nn.modules.linear.Identity",
        "pos_weight": null
    }
    

Training Hyperparameters

Non-Default Hyperparameters

  • eval_strategy: steps
  • per_device_train_batch_size: 32
  • per_device_eval_batch_size: 32
  • num_train_epochs: 1
  • disable_tqdm: False

All Hyperparameters

Click to expand
  • overwrite_output_dir: False
  • do_predict: False
  • eval_strategy: steps
  • prediction_loss_only: True
  • per_device_train_batch_size: 32
  • per_device_eval_batch_size: 32
  • 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: 5e-05
  • weight_decay: 0.0
  • adam_beta1: 0.9
  • adam_beta2: 0.999
  • adam_epsilon: 1e-08
  • max_grad_norm: 1
  • num_train_epochs: 1
  • max_steps: -1
  • lr_scheduler_type: linear
  • lr_scheduler_kwargs: {}
  • warmup_ratio: 0.0
  • 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: False
  • 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: None
  • hub_always_push: False
  • gradient_checkpointing: False
  • 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: batch_sampler
  • multi_dataset_batch_sampler: proportional
  • router_mapping: {}
  • learning_rate_mapping: {}

Training Logs

Epoch Step Training Loss Quora-dev_average_precision
0.2817 500 0.1006 0.9776
0.5634 1000 0.0097 0.9997
0.8451 1500 0.0018 1.0000
1.0 1775 - 1.0

Framework Versions

  • Python: 3.10.12
  • Sentence Transformers: 5.1.0
  • Transformers: 4.47.0
  • PyTorch: 2.5.1+cu121
  • Accelerate: 1.2.1
  • Datasets: 3.2.0
  • Tokenizers: 0.21.0

Citation

BibTeX

Sentence Transformers

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