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
- Documentation: Sentence Transformers Documentation
- Documentation: Cross Encoder Documentation
- Repository: Sentence Transformers on GitHub
- Hugging Face: Cross Encoders on Hugging Face
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 ๐ค Hub
model = CrossEncoder("truong1301/PhoRanker_vifactcheck")
# Get scores for pairs of texts
pairs = [
['Tรญnh ฤแบฟn sรกng ngร y 28/3, ba nแบกn nhรขn nร o ฤรฃ tแปญ vong trong vแปฅ nแป ฤแบงu ฤแบกn tแบกi thรดn Kon ฤao Yรดp?\n', '( NLฤO ) โ Mแปt ngฦฐแปi ฤร n_รดng 41 tuแปi vแปซa bแป bแบฏt do liรชn_quan vแปฅ รกn ngฦฐแปi_mแบซu Hแปng_Kรดng - Trung_Quแปc Abby_Choi ( Thรกi_Thiรชn_Phฦฐแปฃng ) bแป giแบฟt vร phรขn xรกc . ฤรขy lร ngฦฐแปi thแปฉ 6 liรชn_quan bแป bแบฏt_giแปฏ Trang_South China_Morning_Post ngร y 2 - 3 dแบซn mแปt nguแปn tin cho biแบฟt ngฦฐแปi ฤร n_รดng nร y bแป bแบฏt vรฌ nghi_ngแป hแป_trแปฃ , tiแบฟp_tay cho mแปt nghi phแบกm . Chi_tiแบฟt vแปฅ_viแปc chฦฐa ฤฦฐแปฃc cรดng_bแป . Tin_tแปฉc ฤฦฐแปฃc ฤฦฐa ra khi hฦกn 120 cแบฃnh_sรกt rร _soรกt bรฃi rรกc , tรฌm_kiแบฟm phแบงn cรกnh_tay vร phแบงn thรขn cแปงa thi_thแป Abby_Choi . Viแปc tรฌm_kiแบฟm diแป
n ra suแปt 3 ngร y qua nhฦฐng chฦฐa tรฌm thแบฅy nhแปฏng phแบงn thi_thแป cรฒn lแบกi cแปงa Abby_Choi . Tแปi 2 - 3 , cแบฃnh_sรกt quay lแบกi hiแปn_trฦฐแปng vแปฅ รกn , tแปฉc tแบงng trแปt cแปงa ngรดi nhร 3 tแบงng แป lร ng Lung Mei_Tsuen , quแบญn Tai_Po ฤแป tรฌm_kiแบฟm lแบงn cuแปi . ฤรขy lร nฦกi cแบฃnh_sรกt phรกt_hiแปn 2 chรขn phแปฅ_nแปฏ trong tแปง_lแบกnh , mแปt_sแป vแบญt_dแปฅng cแปงa Abby_Choi , 2 nแปi sรบp mร mแปt trong ฤรณ cรณ ฤแบงu , xฦฐฦกng sฦฐแปn nแบกn_nhรขn . Abby_Choi ( Thรกi_Thiรชn_Phฦฐแปฃng ) bแป giแบฟt , phรขn xรกc แป tuแปi 28 Nghi phแบกm thแปฉ 5 cแปงa vแปฅ รกn lร mแปt phแปฅ_nแปฏ 47 tuแปi , nhรขn_viรชn mรกt - xa , bแป nghi lร ngฦฐแปi_tรฌnh cแปงa bแป chแปng cลฉ Abby_Choi . Cแบฃ hai yรชu nhau ฤฦฐแปฃc khoแบฃng 6 thรกng . Ngฦฐแปi nร y bแป_cรกo_buแปc hแป_trแปฃ , tiแบฟp_tay cho nghi phแบกm . Cแปฅ_thแป , ngฦฐแปi phแปฅ_nแปฏ nร y ฤรฃ giรบp bแป chแปng cลฉ Abby Choi thuรช cฤn nhร tแบกi lร ng Lung Mei_Tsuen . Ngฦฐแปi nร y cลฉng thuรช mแปt cฤn_hแป sang_trแปng khรกc ฤแป chแปng cลฉ Abby Choi lแบฉn_trแปn trฦฐแปc khi bแป bแบฏt . Ngฦฐแปi phแปฅ_nแปฏ nร y ฤรฃ ฤฦฐแปฃc tแบกi_ngoแบกi chแป ฤiแปu_tra thรชm nhฦฐng phแบฃi ฤแบฟn bรกo_cรกo vแปi cแบฃnh_sรกt vร o cuแปi thรกng . Viแปc tรฌm_kiแบฟm ฤแปง cรกc phแบงn thi_thแป , ฤแบทc_biแปt lร tay vร chรขn , ฤฦฐแปฃc ฤรกnh_giรก rแบฅt quan_trแปng ฤแป xรกc_ฤแปnh tแปi_danh cแปงa gia_ฤรฌnh chแปng cลฉ nแบกn_nhรขn . Ngoร i_ra , nhแปฏng vแบญt_dแปฅng nhฦฐ ฤiแปn_thoแบกi , quแบงn_รกo , hung_khรญ cลฉng quan_trแปng khรดng kรฉm . Nแบฟu cแบฃnh_sรกt khรดng thu_thแบญp ฤแปง chแปฉng_cแปฉ hแปฏu_hiแปu cho vแปฅ รกn sแบฝ khรณ ฤแปnh_tแปi giแบฟt ngฦฐแปi tแบกi phiรชn_tรฒa tiแบฟp_theo . Luแบญt Hแปng_Kรดng - Trung_Quแปc cรณ quy_ฤแปnh vแป nguyรชn_tแบฏc " nghi ฤiแปm lแปฃi_รญch thuแปc vแป bแป_cรกo " . Nghฤฉa_lร nแบฟu trong vแปฅ รกn cรณ tรฌnh_tiแบฟt khรดng_thแป lร m rรต hoแบทc khรดng chแบฏc_chแบฏn thรฌ sแบฝ trแป_thร nh ฤiแปm cรณ lแปฃi cho bแป_cรกo . Vรฌ_thแบฟ , phรญa gia_ฤรฌnh chแปng cลฉ cแปงa Abby Choi dรน bแป bแบฏt vแบซn quyแบฟt khรดng khai ฤแปa_ฤiแปm giแบฅu cรกc phแบงn thi_thแป nแบกn_nhรขn . Hiแปn_trฦฐแปng vแปฅ รกn - nฦกi cแบฃnh_sรกt phรกt_hiแปn cรกc phแบงn thi_thแป cแปงa Abby Choi_Hoa vร tรกo ฤฦฐแปฃc ฤแบทt xung_quanh Cแบฃnh_sรกt vแบซn tรญch_cแปฑc tรฌm_kiแบฟm cรกc phแบงn cรฒn lแบกi thi_thแป Abby Choi Bรกc_sฤฉ phรกp_y nแปi_tiแบฟng ngฦฐแปi ฤร i_Loan - Trung_Quแปc Cao ฤแบกi_Thร nh lรฝ_giแบฃi kแบป sรกt_nhรขn hร nh_ฤแปng man_rแปฃ vแปi thi_thแป nแบกn_nhรขn vรฌ muแปn gรขy khรณ_khฤn cho cฦก_quan ฤiแปu_tra trong viแปc xรฉt_nghiแปm ADN. Viแปc xแปญ_lรฝ phแบงn ฤแบงu , tแปฉ_chi lร ฤแป tฤng ฤแป khรณ khi nhแบญn_dแบกng , lแบฅy dแบฅu vรขn tay โฆ Cแบฃnh_sรกt ฤรฃ bแบฏt_giแปฏ 5 nghi phแบกm trong vแปฅ รกn giแบฟt ngฦฐแปi_mแบซu Abby_Choi . Trong ฤรณ , รดng Kwong_Kau ( 65 tuแปi , bแป chแปng cลฉ ) , Anthony_Kwong ( 31 tuแปi , anh_trai cแปงa chแปng cลฉ ) vร Alex_Kwon ( 28 tuแปi , chแปng cลฉ ) bแป buแปc_tแปi giแบฟt ngฦฐแปi . Bร Jenny_Li ( 63 tuแปi , mแบน chแปng cลฉ ) bแป buแปc_tแปi cแบฃn_trแป , lร m sai_lแปch tiแบฟn_trรฌnh ฤiแปu_tra . Mแปt phแปฅ_nแปฏ 47 tuแปi , bแป nghi lร ngฦฐแปi_tรฌnh cแปงa รดng Kwong_Kau , ฤang bแป cแบฃnh_sรกt thแบฉm_vแบฅn . Ngฦฐแปi phแปฅ_nแปฏ nร y ฤรฃ giรบp รดng Kwong Kau thuรช tแบงng trแปt ngรดi nhร hiแปn lร hiแปn_trฦฐแปng vแปฅ รกn vร cลฉng lร ngฦฐแปi ฤรฃ thuรช mแปt cฤn_hแป khรกc giรบp Alex_Kwon lแบฉn_trแปn . Tรฒa dแปฑ_kiแบฟn xรฉt_xแปญ tiแบฟp vแปฅ รกn vร o ngร y 8 - 5 .'],
['Nguyรชn nhรขn dแบซn ฤแบฟn viแปc รดng Hoร ng giแบฟt bร P. lร gรฌ?\n', '( NLฤO ) - Thแบฅy bรฉ gรกi ฤแปฉng chฦกi trฦฐแปc nhร mร khรดng cรณ ngฦฐแปi trรดng giแปฏ , Thuรขn ฤรฃ bแบฏt chรกu bรฉ lรชn nhร vร thแปฑc_hiแปn_hร nh_vi hiแบฟp_dรขm ฤแปi_bแบกi . Tแบกi phiรชn_toร sฦก_thแบฉm ngร y 28 - 3 , TAND tแปnh An_Giang tuyรชn_phแบกt bแป_cรกo Nguyแป
n_Vฤn_Thuรขn ( SN 1949 ; ngแปฅ xรฃ ฤa_Phฦฐแปc , huyแปn An_Phรบ , tแปnh An_Giang ) 13 nฤm tรน vแป tแปi " Hiแบฟp_dรขm ngฦฐแปi dฦฐแปi 16 tuแปi " ; ฤแปng_thแปi buแปc bแป_cรกo bแปi_thฦฐแปng tแปn_thแบฅt tinh_thแบงn cho bแป hแบกi 20 triแปu ฤแปng . Bแป_cรกo Nguyแป
n_Vฤn_Thuรขn . Theo cรกo_trแบกng , khoแบฃng 15 giแป ngร y 10 - 12 - 2022 , bร ฤแป_Thแป S. dแบซn chรกu nแปi tรชn N. ( SN 2018 ) ra cแบทp bแป sรดng ( thuแปc xรฃ ฤa_Phฦฐแปc ) chฦกi lรด_tรด . Khoแบฃng 30 phรบt sau , Thuรขn thแบฅy chรกu N. ฤang chฦกi trฦฐแปc cแปญa_nhร Thuรขn vร khรดng cรณ ngฦฐแปi trรดng giแปฏ , nรชn nแบฃy_sinh รฝ_ฤแปnh hiแบฟp_dรขm chรกu N. Quang_cแบฃnh phiรชn_tรฒa . ฤแป thแปฑc_hiแปn , Thuรขn ra bแบฟ chรกu N. lรชn hร ng ba nhร mรฌnh , rแปi thแปฑc_hiแปn_hร nh_vi ฤแปi_bแบกi ฤแปi_vแปi chรกu bรฉ . Bแป ฤau , chรกu bรฉ bแป chแบกy ra chแป bร nแปi . Khi vแป ฤแบฟn nhร , bร S. phรกt_hiแปn vร nghi_ngแป Thuรขn xรขm_hแบกi tรฌnh_dแปฅc chรกu N. nรชn ฤแบฟn Cรดng_an xรฃ ฤa_Phฦฐแปc trรฌnh_bรกo . Ngay sau ฤรณ , Thuรขn bแป bแบฏt_giแปฏ . Tแบกi cฦก_quan cรดng_an , Thuรขn thแปซa_nhแบญn toร n_bแป_hร nh_vi phแบกm_tแปi cแปงa mรฌnh .'],
['Vรฌ sao WHO xแบฟp Viแปt Nam vร o nhรณm nguy cฦก cao xรขm nhแบญp bแบกi liแปt vร o thรกng 11/2022, trong khi cรกc nฦฐแปc khรกc vแบซn แป nhรณm cลฉ?\n', '( NLฤO ) - Vแป dแปch COVID - 19 hรดm_nay 22 - 3 , Bแป Y_tแบฟ cho biแบฟt sแป ca mแบฏc COVID - 19 lแบกi tฤng trong 24 giแป qua . Bแป Y_tแบฟ cแบฃnh_bรกo nguy_cฦก xรขm_nhแบญp , lรขy_lan cแปงa cรกc tรกc_nhรขn gรขy bแปnh luรดn tiแปm_แบฉn Vแป tรฌnh_hรฌnh dแปch COVID - 19 hรดm_nay , Bแป Y_tแบฟ cho biแบฟt tแปซ 16 giแป ngร y 21 - 3 ฤแบฟn 16 giแป ngร y 22 - 3 , cแบฃ nฦฐแปc ghi_nhแบญn 18 ca mแบฏc , tฤng so vแปi ngร y trฦฐแปc ฤรณ . Kแป tแปซ ฤแบงu dแปch ฤแบฟn nay Viแปt_Nam cรณ 11.527.175 ca nhiแป
m , ฤแปฉng thแปฉ 13 / 230 quแปc_gia vร vรนng lรฃnh_thแป , trong khi vแปi tแป_lแป sแป ca nhiแป
m / 1 triแปu dรขn , Viแปt_Nam ฤแปฉng thแปฉ 117 / 230 quแปc_gia vร vรนng lรฃnh_thแป ( bรฌnh_quรขn cแปฉ 1 triแปu ngฦฐแปi cรณ 116.491 ca nhiแป
m ) . Biแปu_ฤแป dแปch COVID - 19 Trong ngร y , cรณ thรชm 14 bแปnh_nhรขn ฤฦฐแปฃc cรดng_bแป khแปi bแปnh , nรขng tแปng_sแป ca ฤฦฐแปฃc ฤiแปu_trแป khแปi lรชn 10.614.875 ca . Sแป bแปnh_nhรขn ฤang thแป รดxy lร 4 ca . Tแปng_sแป ca tแปญ_vong do COVID - 19 tแบกi Viแปt_Nam_tรญnh ฤแบฟn nay lร 43.186 ca , chiแบฟm tแป_lแป 0,4 % so vแปi tแปng_sแป ca nhiแป
m . Tแปng_sแป ca tแปญ_vong xแบฟp thแปฉ 26 / 230 vรนng lรฃnh_thแป , sแป ca tแปญ_vong trรชn 1 triแปu dรขn xแบฟp thแปฉ 139 / 230 quแปc_gia , vรนng lรฃnh_thแป trรชn thแบฟ_giแปi . Ngร y 21 - 3 cรณ 4.878 liแปu vแบฏc - xin phรฒng COVID - 19 ฤฦฐแปฃc tiรชm . Nhฦฐ_vแบญy , tแปng_sแป liแปu vแบฏc - xin ฤรฃ ฤฦฐแปฃc tiรชm lร 265.927.459 liแปu . Ngร y 22 - 3 , Bแป Y_tแบฟ ฤรฃ cรณ vฤn_bแบฃn gแปญi UBND cรกc tแปnh , thร nh_phแป vแป viแปc tแป_chแปฉc triแปn_khai kแบฟ_hoแบกch phรฒng , chแปng dแปch_bแปnh truyแปn_nhiแป
m , nhแบฅt_lร dแปch COVID - 19 . Theo Bแป Y_tแบฟ , tรฌnh_hรฌnh dแปch_bแปnh truyแปn_nhiแป
m trรชn toร n_cแบงu hiแปn_nay ฤฦฐแปฃc dแปฑ_bรกo vแบซn diแป
n_biแบฟn khรณ lฦฐแปng . Dแปch COVID - 19 hiแปn vแบซn lร tรฌnh_trแบกng khแบฉn_cแบฅp vแป sแปฉc_khแปe cแปng_ฤแปng quแปc_tแบฟ , tiแปm_แบฉn nguy_cฦก bรนng_phรกt vแปi cรกc biแปn thแป mแปi , nhแบฅt_lร khi cรกc quแปc_gia nแปi lแปng cรกc biแปn_phรกp phรฒng , chแปng dแปch vร thแปฑc_hiแปn cรกc chรญnh_sรกch mแป_cแปญa ฤแป phรกt_triแปn kinh_tแบฟ xรฃ_hแปi , giao_thฦฐฦกng , du_lแปch . Cรกc bแปnh truyแปn_nhiแป
m nguy_hiแปm , mแปi nแปi tiแบฟp_tแปฅc xuแบฅt_hiแปn vร lรขy_lan nhฦฐ bแปnh Marburg tแบกi khu_vแปฑc Chรขu_Phi , cรบm A / H5N1 tแบกi Campuchia ... Cรกc tรกc_nhรขn gรขy bแปnh , cรกc chแปงng virus cรบm liรชn_tแปฅc biแบฟn_ฤแปi lร m giแบฃm khแบฃ_nฤng bแบฃo_vแป cแปงa vแบฏc - xin , tiแปm_แบฉn nguy_cฦก ฤแบกi_dแปch . Bแป Y_tแบฟ cho biแบฟt dแปch COVID - 19 vร cรกc bแปnh truyแปn_nhiแป
m khรกc cฦก_bแบฃn vแบซn ฤang ฤฦฐแปฃc kiแปm_soรกt , tuy_nhiรชn nguy_cฦก xรขm_nhแบญp , lรขy_lan cแปงa cรกc tรกc_nhรขn gรขy bแปnh luรดn tiแปm_แบฉn , nhแบฅt_lร trong bแปi_cแบฃnh nhu_cแบงu giao_thฦฐฦกng , du_lแปch tฤng cao ; ฤแปng_thแปi mแปt_sแป bแปnh truyแปn_nhiแป
m lฦฐu_hร nh nhฦฐ tay_chรขn miแปng , sแปt_xuแบฅt_huyแบฟt ... cรณ nguy_cฦก gia_tฤng sแป mแบฏc .'],
['Cรณ phแบฃi N. lรกi xe mรกy chแป bแบกn ฤแปi mลฉ bแบฃo hiแปm vฦฐแปฃt ฤรจn ฤแป nรชn bแป dรขn quรขn tแปฑ vแป dรนng gแบญy ฤรกnh vร o ฤแบงu gรฃy gแบญy khรดng?\n', 'TPO - Sรกng 25 / 3 , lรฃnh_ฤแบกo Cรดng_an quแบญn Hแบฃi_Chรขu ( TP ฤร _Nแบตng ) cho biแบฟt , ฤรฃ bแบฏt ฤฦฐแปฃc ฤแปi_tฦฐแปฃng ฤแบญp phรก cรขy ATM Ngรขn_hร ng Thฦฐฦกng_mแบกi CP ฤรดng_ร trรชn ฤฦฐแปng Lรช Duแบฉn . Theo thรดng_tin ban_ฤแบงu , ngay sau khi vร o_cuแปc ฤiแปu_tra , ฤแปi cแบฃnh_sรกt Hรฌnh_sแปฑ Cรดng_an quแบญn Hแบฃi_Chรขu nแบฏm thรดng_tin ฤแปi_tฦฐแปฃng nร y ฤang trรชn xe ฤi vร o phรญa Nam nรชn phแปi_hแปฃp vแปi Cรดng_an tแปnh Phรบ_Yรชn bแบฏt_giแปฏ . Danh_tรญnh cแปงa nghi phแบกm chฦฐa ฤฦฐแปฃc tiแบฟt_lแป . Hiแปn , cฦก_quan cรดng_an ฤang tiแบฟn_hร nh di_lรฝ ฤแปi_tฦฐแปฃng vแป ฤร _Nแบตng ฤแป phแปฅc_vแปฅ cรดng_tรกc ฤiแปu_tra . Trฦฐแปc ฤรณ , khoแบฃng 15h ngร y 23 / 3 , trong lรบc kiแปm_tra cรกc cรขy ATM gแบทp sแปฑ_cแป , nhรขn_viรชn Ngรขn_hร ng Thฦฐฦกng_mแบกi CP ฤรดng_ร phรกt_hiแปn trแปฅ ATM trรชn ฤฦฐแปng Lรช_Duแบฉn ( quแบญn Hแบฃi_Chรขu ) bแป kแบป_gian ฤแบญp phรก nรชn trรฌnh_bรกo_cรดng_an . Cรขy ATM bแป cแบกy phรก , hฦฐ_hแปng hoร n_toร n . Kรฉt sแบฏt chแปฉa tiแปn bแป kแบป_gian lแบฅy mแบฅt , hแป_thแปng ฤiแปn cลฉng bแป sแปฑ_cแป .'],
['Huแปณnh Vฤn Hoร ng cรณ bแป bแบฏt vรฌ ฤรกnh 21 cรกi khiแบฟn mแปt phแปฅ nแปฏ tแปญ vong khรดng?\n', '(NLฤO) โ Theo camera cแปงa nhร ngฦฐแปi dรขn แป tแปnh Tiแปn Giang ghi lแบกi, Huแปณnh Vฤn Hoร ng ฤรฃ ฤรกnh tแปng cแปng 21 cรกi vร o ngฦฐแปi bร P. khiแบฟn nแบกn nhรขn tแปญ vong. Ngร y 28-3, Cรดng an huyแปn Chรขu Thร nh, tแปnh Tiแปn Giang ฤรฃ bแบฏt khแบฉn cแบฅp Huแปณnh Vฤn Hoร ng (SN 1970; ngแปฅ xรฃ Tรขn Hฦฐฦกng, huyแปn Chรขu Thร nh) ฤแป ฤiแปu tra vแป hร nh vi giแบฟt ngฦฐแปi. Hiแปn trฦฐแปng xแบฃy ra vแปฅ viแปc. แบขnh cแบฏt ra tแปซ clip Theo thรดng tin ban ฤแบงu, chiแปu 27-3, bร Trแบงn Ngแปc P. (SN 1955) xแบฃy ra mรขu thuแบซn vแปi Hoร ng. Hoร ng cแบงm khรบc cรขy ฤแบฟn nhร bร P. tแบกi ฤoแบกn ฤฦฐแปng nรดng thรดn thuแปc แบฅp Tรขn Thแบกnh, xรฃ Tรขn Hฦฐฦกng. Lรบc nร y, bร P. cลฉng cแบงm khรบc cรขy thรกch ฤรกnh nhau vแปi Hoร ng. Hแบญu quแบฃ, bร P. ฤรฃ bแป Hoร ng ฤรกnh gแปฅc tแบกi chแป. Theo camera cแปงa nhร ngฦฐแปi dรขn ghi lแบกi, Hoร ng ฤรฃ ฤรกnh tแปng cแปng 21 cรกi vร o ngฦฐแปi bร P. Vแปฅ viแปc chแป dแปซng lแบกi khi cรณ ngฦฐแปi ฤแบฟn can ngฤn. Bร P. ฤฦฐแปฃc ฤฦฐa ฤแบฟn bแปnh viแปn 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 ฤแบฟn sรกng ngร y 28/3, ba nแบกn nhรขn nร o ฤรฃ tแปญ vong trong vแปฅ nแป ฤแบงu ฤแบกn tแบกi thรดn Kon ฤao Yรดp?\n',
[
'( NLฤO ) โ Mแปt ngฦฐแปi ฤร n_รดng 41 tuแปi vแปซa bแป bแบฏt do liรชn_quan vแปฅ รกn ngฦฐแปi_mแบซu Hแปng_Kรดng - Trung_Quแปc Abby_Choi ( Thรกi_Thiรชn_Phฦฐแปฃng ) bแป giแบฟt vร phรขn xรกc . ฤรขy lร ngฦฐแปi thแปฉ 6 liรชn_quan bแป bแบฏt_giแปฏ Trang_South China_Morning_Post ngร y 2 - 3 dแบซn mแปt nguแปn tin cho biแบฟt ngฦฐแปi ฤร n_รดng nร y bแป bแบฏt vรฌ nghi_ngแป hแป_trแปฃ , tiแบฟp_tay cho mแปt nghi phแบกm . Chi_tiแบฟt vแปฅ_viแปc chฦฐa ฤฦฐแปฃc cรดng_bแป . Tin_tแปฉc ฤฦฐแปฃc ฤฦฐa ra khi hฦกn 120 cแบฃnh_sรกt rร _soรกt bรฃi rรกc , tรฌm_kiแบฟm phแบงn cรกnh_tay vร phแบงn thรขn cแปงa thi_thแป Abby_Choi . Viแปc tรฌm_kiแบฟm diแป
n ra suแปt 3 ngร y qua nhฦฐng chฦฐa tรฌm thแบฅy nhแปฏng phแบงn thi_thแป cรฒn lแบกi cแปงa Abby_Choi . Tแปi 2 - 3 , cแบฃnh_sรกt quay lแบกi hiแปn_trฦฐแปng vแปฅ รกn , tแปฉc tแบงng trแปt cแปงa ngรดi nhร 3 tแบงng แป lร ng Lung Mei_Tsuen , quแบญn Tai_Po ฤแป tรฌm_kiแบฟm lแบงn cuแปi . ฤรขy lร nฦกi cแบฃnh_sรกt phรกt_hiแปn 2 chรขn phแปฅ_nแปฏ trong tแปง_lแบกnh , mแปt_sแป vแบญt_dแปฅng cแปงa Abby_Choi , 2 nแปi sรบp mร mแปt trong ฤรณ cรณ ฤแบงu , xฦฐฦกng sฦฐแปn nแบกn_nhรขn . Abby_Choi ( Thรกi_Thiรชn_Phฦฐแปฃng ) bแป giแบฟt , phรขn xรกc แป tuแปi 28 Nghi phแบกm thแปฉ 5 cแปงa vแปฅ รกn lร mแปt phแปฅ_nแปฏ 47 tuแปi , nhรขn_viรชn mรกt - xa , bแป nghi lร ngฦฐแปi_tรฌnh cแปงa bแป chแปng cลฉ Abby_Choi . Cแบฃ hai yรชu nhau ฤฦฐแปฃc khoแบฃng 6 thรกng . Ngฦฐแปi nร y bแป_cรกo_buแปc hแป_trแปฃ , tiแบฟp_tay cho nghi phแบกm . Cแปฅ_thแป , ngฦฐแปi phแปฅ_nแปฏ nร y ฤรฃ giรบp bแป chแปng cลฉ Abby Choi thuรช cฤn nhร tแบกi lร ng Lung Mei_Tsuen . Ngฦฐแปi nร y cลฉng thuรช mแปt cฤn_hแป sang_trแปng khรกc ฤแป chแปng cลฉ Abby Choi lแบฉn_trแปn trฦฐแปc khi bแป bแบฏt . Ngฦฐแปi phแปฅ_nแปฏ nร y ฤรฃ ฤฦฐแปฃc tแบกi_ngoแบกi chแป ฤiแปu_tra thรชm nhฦฐng phแบฃi ฤแบฟn bรกo_cรกo vแปi cแบฃnh_sรกt vร o cuแปi thรกng . Viแปc tรฌm_kiแบฟm ฤแปง cรกc phแบงn thi_thแป , ฤแบทc_biแปt lร tay vร chรขn , ฤฦฐแปฃc ฤรกnh_giรก rแบฅt quan_trแปng ฤแป xรกc_ฤแปnh tแปi_danh cแปงa gia_ฤรฌnh chแปng cลฉ nแบกn_nhรขn . Ngoร i_ra , nhแปฏng vแบญt_dแปฅng nhฦฐ ฤiแปn_thoแบกi , quแบงn_รกo , hung_khรญ cลฉng quan_trแปng khรดng kรฉm . Nแบฟu cแบฃnh_sรกt khรดng thu_thแบญp ฤแปง chแปฉng_cแปฉ hแปฏu_hiแปu cho vแปฅ รกn sแบฝ khรณ ฤแปnh_tแปi giแบฟt ngฦฐแปi tแบกi phiรชn_tรฒa tiแบฟp_theo . Luแบญt Hแปng_Kรดng - Trung_Quแปc cรณ quy_ฤแปnh vแป nguyรชn_tแบฏc " nghi ฤiแปm lแปฃi_รญch thuแปc vแป bแป_cรกo " . Nghฤฉa_lร nแบฟu trong vแปฅ รกn cรณ tรฌnh_tiแบฟt khรดng_thแป lร m rรต hoแบทc khรดng chแบฏc_chแบฏn thรฌ sแบฝ trแป_thร nh ฤiแปm cรณ lแปฃi cho bแป_cรกo . Vรฌ_thแบฟ , phรญa gia_ฤรฌnh chแปng cลฉ cแปงa Abby Choi dรน bแป bแบฏt vแบซn quyแบฟt khรดng khai ฤแปa_ฤiแปm giแบฅu cรกc phแบงn thi_thแป nแบกn_nhรขn . Hiแปn_trฦฐแปng vแปฅ รกn - nฦกi cแบฃnh_sรกt phรกt_hiแปn cรกc phแบงn thi_thแป cแปงa Abby Choi_Hoa vร tรกo ฤฦฐแปฃc ฤแบทt xung_quanh Cแบฃnh_sรกt vแบซn tรญch_cแปฑc tรฌm_kiแบฟm cรกc phแบงn cรฒn lแบกi thi_thแป Abby Choi Bรกc_sฤฉ phรกp_y nแปi_tiแบฟng ngฦฐแปi ฤร i_Loan - Trung_Quแปc Cao ฤแบกi_Thร nh lรฝ_giแบฃi kแบป sรกt_nhรขn hร nh_ฤแปng man_rแปฃ vแปi thi_thแป nแบกn_nhรขn vรฌ muแปn gรขy khรณ_khฤn cho cฦก_quan ฤiแปu_tra trong viแปc xรฉt_nghiแปm ADN. Viแปc xแปญ_lรฝ phแบงn ฤแบงu , tแปฉ_chi lร ฤแป tฤng ฤแป khรณ khi nhแบญn_dแบกng , lแบฅy dแบฅu vรขn tay โฆ Cแบฃnh_sรกt ฤรฃ bแบฏt_giแปฏ 5 nghi phแบกm trong vแปฅ รกn giแบฟt ngฦฐแปi_mแบซu Abby_Choi . Trong ฤรณ , รดng Kwong_Kau ( 65 tuแปi , bแป chแปng cลฉ ) , Anthony_Kwong ( 31 tuแปi , anh_trai cแปงa chแปng cลฉ ) vร Alex_Kwon ( 28 tuแปi , chแปng cลฉ ) bแป buแปc_tแปi giแบฟt ngฦฐแปi . Bร Jenny_Li ( 63 tuแปi , mแบน chแปng cลฉ ) bแป buแปc_tแปi cแบฃn_trแป , lร m sai_lแปch tiแบฟn_trรฌnh ฤiแปu_tra . Mแปt phแปฅ_nแปฏ 47 tuแปi , bแป nghi lร ngฦฐแปi_tรฌnh cแปงa รดng Kwong_Kau , ฤang bแป cแบฃnh_sรกt thแบฉm_vแบฅn . Ngฦฐแปi phแปฅ_nแปฏ nร y ฤรฃ giรบp รดng Kwong Kau thuรช tแบงng trแปt ngรดi nhร hiแปn lร hiแปn_trฦฐแปng vแปฅ รกn vร cลฉng lร ngฦฐแปi ฤรฃ thuรช mแปt cฤn_hแป khรกc giรบp Alex_Kwon lแบฉn_trแปn . Tรฒa dแปฑ_kiแบฟn xรฉt_xแปญ tiแบฟp vแปฅ รกn vร o ngร y 8 - 5 .',
'( NLฤO ) - Thแบฅy bรฉ gรกi ฤแปฉng chฦกi trฦฐแปc nhร mร khรดng cรณ ngฦฐแปi trรดng giแปฏ , Thuรขn ฤรฃ bแบฏt chรกu bรฉ lรชn nhร vร thแปฑc_hiแปn_hร nh_vi hiแบฟp_dรขm ฤแปi_bแบกi . Tแบกi phiรชn_toร sฦก_thแบฉm ngร y 28 - 3 , TAND tแปnh An_Giang tuyรชn_phแบกt bแป_cรกo Nguyแป
n_Vฤn_Thuรขn ( SN 1949 ; ngแปฅ xรฃ ฤa_Phฦฐแปc , huyแปn An_Phรบ , tแปnh An_Giang ) 13 nฤm tรน vแป tแปi " Hiแบฟp_dรขm ngฦฐแปi dฦฐแปi 16 tuแปi " ; ฤแปng_thแปi buแปc bแป_cรกo bแปi_thฦฐแปng tแปn_thแบฅt tinh_thแบงn cho bแป hแบกi 20 triแปu ฤแปng . Bแป_cรกo Nguyแป
n_Vฤn_Thuรขn . Theo cรกo_trแบกng , khoแบฃng 15 giแป ngร y 10 - 12 - 2022 , bร ฤแป_Thแป S. dแบซn chรกu nแปi tรชn N. ( SN 2018 ) ra cแบทp bแป sรดng ( thuแปc xรฃ ฤa_Phฦฐแปc ) chฦกi lรด_tรด . Khoแบฃng 30 phรบt sau , Thuรขn thแบฅy chรกu N. ฤang chฦกi trฦฐแปc cแปญa_nhร Thuรขn vร khรดng cรณ ngฦฐแปi trรดng giแปฏ , nรชn nแบฃy_sinh รฝ_ฤแปnh hiแบฟp_dรขm chรกu N. Quang_cแบฃnh phiรชn_tรฒa . ฤแป thแปฑc_hiแปn , Thuรขn ra bแบฟ chรกu N. lรชn hร ng ba nhร mรฌnh , rแปi thแปฑc_hiแปn_hร nh_vi ฤแปi_bแบกi ฤแปi_vแปi chรกu bรฉ . Bแป ฤau , chรกu bรฉ bแป chแบกy ra chแป bร nแปi . Khi vแป ฤแบฟn nhร , bร S. phรกt_hiแปn vร nghi_ngแป Thuรขn xรขm_hแบกi tรฌnh_dแปฅc chรกu N. nรชn ฤแบฟn Cรดng_an xรฃ ฤa_Phฦฐแปc trรฌnh_bรกo . Ngay sau ฤรณ , Thuรขn bแป bแบฏt_giแปฏ . Tแบกi cฦก_quan cรดng_an , Thuรขn thแปซa_nhแบญn toร n_bแป_hร nh_vi phแบกm_tแปi cแปงa mรฌnh .',
'( NLฤO ) - Vแป dแปch COVID - 19 hรดm_nay 22 - 3 , Bแป Y_tแบฟ cho biแบฟt sแป ca mแบฏc COVID - 19 lแบกi tฤng trong 24 giแป qua . Bแป Y_tแบฟ cแบฃnh_bรกo nguy_cฦก xรขm_nhแบญp , lรขy_lan cแปงa cรกc tรกc_nhรขn gรขy bแปnh luรดn tiแปm_แบฉn Vแป tรฌnh_hรฌnh dแปch COVID - 19 hรดm_nay , Bแป Y_tแบฟ cho biแบฟt tแปซ 16 giแป ngร y 21 - 3 ฤแบฟn 16 giแป ngร y 22 - 3 , cแบฃ nฦฐแปc ghi_nhแบญn 18 ca mแบฏc , tฤng so vแปi ngร y trฦฐแปc ฤรณ . Kแป tแปซ ฤแบงu dแปch ฤแบฟn nay Viแปt_Nam cรณ 11.527.175 ca nhiแป
m , ฤแปฉng thแปฉ 13 / 230 quแปc_gia vร vรนng lรฃnh_thแป , trong khi vแปi tแป_lแป sแป ca nhiแป
m / 1 triแปu dรขn , Viแปt_Nam ฤแปฉng thแปฉ 117 / 230 quแปc_gia vร vรนng lรฃnh_thแป ( bรฌnh_quรขn cแปฉ 1 triแปu ngฦฐแปi cรณ 116.491 ca nhiแป
m ) . Biแปu_ฤแป dแปch COVID - 19 Trong ngร y , cรณ thรชm 14 bแปnh_nhรขn ฤฦฐแปฃc cรดng_bแป khแปi bแปnh , nรขng tแปng_sแป ca ฤฦฐแปฃc ฤiแปu_trแป khแปi lรชn 10.614.875 ca . Sแป bแปnh_nhรขn ฤang thแป รดxy lร 4 ca . Tแปng_sแป ca tแปญ_vong do COVID - 19 tแบกi Viแปt_Nam_tรญnh ฤแบฟn nay lร 43.186 ca , chiแบฟm tแป_lแป 0,4 % so vแปi tแปng_sแป ca nhiแป
m . Tแปng_sแป ca tแปญ_vong xแบฟp thแปฉ 26 / 230 vรนng lรฃnh_thแป , sแป ca tแปญ_vong trรชn 1 triแปu dรขn xแบฟp thแปฉ 139 / 230 quแปc_gia , vรนng lรฃnh_thแป trรชn thแบฟ_giแปi . Ngร y 21 - 3 cรณ 4.878 liแปu vแบฏc - xin phรฒng COVID - 19 ฤฦฐแปฃc tiรชm . Nhฦฐ_vแบญy , tแปng_sแป liแปu vแบฏc - xin ฤรฃ ฤฦฐแปฃc tiรชm lร 265.927.459 liแปu . Ngร y 22 - 3 , Bแป Y_tแบฟ ฤรฃ cรณ vฤn_bแบฃn gแปญi UBND cรกc tแปnh , thร nh_phแป vแป viแปc tแป_chแปฉc triแปn_khai kแบฟ_hoแบกch phรฒng , chแปng dแปch_bแปnh truyแปn_nhiแป
m , nhแบฅt_lร dแปch COVID - 19 . Theo Bแป Y_tแบฟ , tรฌnh_hรฌnh dแปch_bแปnh truyแปn_nhiแป
m trรชn toร n_cแบงu hiแปn_nay ฤฦฐแปฃc dแปฑ_bรกo vแบซn diแป
n_biแบฟn khรณ lฦฐแปng . Dแปch COVID - 19 hiแปn vแบซn lร tรฌnh_trแบกng khแบฉn_cแบฅp vแป sแปฉc_khแปe cแปng_ฤแปng quแปc_tแบฟ , tiแปm_แบฉn nguy_cฦก bรนng_phรกt vแปi cรกc biแปn thแป mแปi , nhแบฅt_lร khi cรกc quแปc_gia nแปi lแปng cรกc biแปn_phรกp phรฒng , chแปng dแปch vร thแปฑc_hiแปn cรกc chรญnh_sรกch mแป_cแปญa ฤแป phรกt_triแปn kinh_tแบฟ xรฃ_hแปi , giao_thฦฐฦกng , du_lแปch . Cรกc bแปnh truyแปn_nhiแป
m nguy_hiแปm , mแปi nแปi tiแบฟp_tแปฅc xuแบฅt_hiแปn vร lรขy_lan nhฦฐ bแปnh Marburg tแบกi khu_vแปฑc Chรขu_Phi , cรบm A / H5N1 tแบกi Campuchia ... Cรกc tรกc_nhรขn gรขy bแปnh , cรกc chแปงng virus cรบm liรชn_tแปฅc biแบฟn_ฤแปi lร m giแบฃm khแบฃ_nฤng bแบฃo_vแป cแปงa vแบฏc - xin , tiแปm_แบฉn nguy_cฦก ฤแบกi_dแปch . Bแป Y_tแบฟ cho biแบฟt dแปch COVID - 19 vร cรกc bแปnh truyแปn_nhiแป
m khรกc cฦก_bแบฃn vแบซn ฤang ฤฦฐแปฃc kiแปm_soรกt , tuy_nhiรชn nguy_cฦก xรขm_nhแบญp , lรขy_lan cแปงa cรกc tรกc_nhรขn gรขy bแปnh luรดn tiแปm_แบฉn , nhแบฅt_lร trong bแปi_cแบฃnh nhu_cแบงu giao_thฦฐฦกng , du_lแปch tฤng cao ; ฤแปng_thแปi mแปt_sแป bแปnh truyแปn_nhiแป
m lฦฐu_hร nh nhฦฐ tay_chรขn miแปng , sแปt_xuแบฅt_huyแบฟt ... cรณ nguy_cฦก gia_tฤng sแป mแบฏc .',
'TPO - Sรกng 25 / 3 , lรฃnh_ฤแบกo Cรดng_an quแบญn Hแบฃi_Chรขu ( TP ฤร _Nแบตng ) cho biแบฟt , ฤรฃ bแบฏt ฤฦฐแปฃc ฤแปi_tฦฐแปฃng ฤแบญp phรก cรขy ATM Ngรขn_hร ng Thฦฐฦกng_mแบกi CP ฤรดng_ร trรชn ฤฦฐแปng Lรช Duแบฉn . Theo thรดng_tin ban_ฤแบงu , ngay sau khi vร o_cuแปc ฤiแปu_tra , ฤแปi cแบฃnh_sรกt Hรฌnh_sแปฑ Cรดng_an quแบญn Hแบฃi_Chรขu nแบฏm thรดng_tin ฤแปi_tฦฐแปฃng nร y ฤang trรชn xe ฤi vร o phรญa Nam nรชn phแปi_hแปฃp vแปi Cรดng_an tแปnh Phรบ_Yรชn bแบฏt_giแปฏ . Danh_tรญnh cแปงa nghi phแบกm chฦฐa ฤฦฐแปฃc tiแบฟt_lแป . Hiแปn , cฦก_quan cรดng_an ฤang tiแบฟn_hร nh di_lรฝ ฤแปi_tฦฐแปฃng vแป ฤร _Nแบตng ฤแป phแปฅc_vแปฅ cรดng_tรกc ฤiแปu_tra . Trฦฐแปc ฤรณ , khoแบฃng 15h ngร y 23 / 3 , trong lรบc kiแปm_tra cรกc cรขy ATM gแบทp sแปฑ_cแป , nhรขn_viรชn Ngรขn_hร ng Thฦฐฦกng_mแบกi CP ฤรดng_ร phรกt_hiแปn trแปฅ ATM trรชn ฤฦฐแปng Lรช_Duแบฉn ( quแบญn Hแบฃi_Chรขu ) bแป kแบป_gian ฤแบญp phรก nรชn trรฌnh_bรกo_cรดng_an . Cรขy ATM bแป cแบกy phรก , hฦฐ_hแปng hoร n_toร n . Kรฉt sแบฏt chแปฉa tiแปn bแป kแบป_gian lแบฅy mแบฅt , hแป_thแปng ฤiแปn cลฉng bแป sแปฑ_cแป .',
'(NLฤO) โ Theo camera cแปงa nhร ngฦฐแปi dรขn แป tแปnh Tiแปn Giang ghi lแบกi, Huแปณnh Vฤn Hoร ng ฤรฃ ฤรกnh tแปng cแปng 21 cรกi vร o ngฦฐแปi bร P. khiแบฟn nแบกn nhรขn tแปญ vong. Ngร y 28-3, Cรดng an huyแปn Chรขu Thร nh, tแปnh Tiแปn Giang ฤรฃ bแบฏt khแบฉn cแบฅp Huแปณnh Vฤn Hoร ng (SN 1970; ngแปฅ xรฃ Tรขn Hฦฐฦกng, huyแปn Chรขu Thร nh) ฤแป ฤiแปu tra vแป hร nh vi giแบฟt ngฦฐแปi. Hiแปn trฦฐแปng xแบฃy ra vแปฅ viแปc. แบขnh cแบฏt ra tแปซ clip Theo thรดng tin ban ฤแบงu, chiแปu 27-3, bร Trแบงn Ngแปc P. (SN 1955) xแบฃy ra mรขu thuแบซn vแปi Hoร ng. Hoร ng cแบงm khรบc cรขy ฤแบฟn nhร bร P. tแบกi ฤoแบกn ฤฦฐแปng nรดng thรดn thuแปc แบฅp Tรขn Thแบกnh, xรฃ Tรขn Hฦฐฦกng. Lรบc nร y, bร P. cลฉng cแบงm khรบc cรขy thรกch ฤรกnh nhau vแปi Hoร ng. Hแบญu quแบฃ, bร P. ฤรฃ bแป Hoร ng ฤรกnh gแปฅc tแบกi chแป. Theo camera cแปงa nhร ngฦฐแปi dรขn ghi lแบกi, Hoร ng ฤรฃ ฤรกnh tแปng cแปng 21 cรกi vร o ngฦฐแปi bร P. Vแปฅ viแปc chแป dแปซng lแบกi khi cรณ ngฦฐแปi ฤแบฟn can ngฤn. Bร P. ฤฦฐแปฃc ฤฦฐa ฤแบฟn bแปnh viแปn 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
- Dataset:
Quora-dev - Evaluated with
CEBinaryClassificationEvaluator
| 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, andlabel - 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 ฤแบฟn sรกng ngร y 28/3, ba nแบกn nhรขn nร o ฤรฃ tแปญ vong trong vแปฅ nแป ฤแบงu ฤแบกn tแบกi thรดn Kon ฤao Yรดp?( NLฤO ) โ Mแปt ngฦฐแปi ฤร n_รดng 41 tuแปi vแปซa bแป bแบฏt do liรชn_quan vแปฅ รกn ngฦฐแปi_mแบซu Hแปng_Kรดng - Trung_Quแปc Abby_Choi ( Thรกi_Thiรชn_Phฦฐแปฃng ) bแป giแบฟt vร phรขn xรกc . ฤรขy lร ngฦฐแปi thแปฉ 6 liรชn_quan bแป bแบฏt_giแปฏ Trang_South China_Morning_Post ngร y 2 - 3 dแบซn mแปt nguแปn tin cho biแบฟt ngฦฐแปi ฤร n_รดng nร y bแป bแบฏt vรฌ nghi_ngแป hแป_trแปฃ , tiแบฟp_tay cho mแปt nghi phแบกm . Chi_tiแบฟt vแปฅ_viแปc chฦฐa ฤฦฐแปฃc cรดng_bแป . Tin_tแปฉc ฤฦฐแปฃc ฤฦฐa ra khi hฦกn 120 cแบฃnh_sรกt rร _soรกt bรฃi rรกc , tรฌm_kiแบฟm phแบงn cรกnh_tay vร phแบงn thรขn cแปงa thi_thแป Abby_Choi . Viแปc tรฌm_kiแบฟm diแป n ra suแปt 3 ngร y qua nhฦฐng chฦฐa tรฌm thแบฅy nhแปฏng phแบงn thi_thแป cรฒn lแบกi cแปงa Abby_Choi . Tแปi 2 - 3 , cแบฃnh_sรกt quay lแบกi hiแปn_trฦฐแปng vแปฅ รกn , tแปฉc tแบงng trแปt cแปงa ngรดi nhร 3 tแบงng แป lร ng Lung Mei_Tsuen , quแบญn Tai_Po ฤแป tรฌm_kiแบฟm lแบงn cuแปi . ฤรขy lร nฦกi cแบฃnh_sรกt phรกt_hiแปn 2 chรขn phแปฅ_nแปฏ trong tแปง_lแบกnh , mแปt_sแป vแบญt_dแปฅng cแปงa Abby_Choi , 2 nแปi sรบp mร mแปt trong ฤรณ cรณ ฤแบงu , xฦฐฦกng sฦฐแปn nแบกn_nhรขn . Abby_Choi ( Thรกi_Thiรชn_Phฦฐแปฃng ) bแป giแบฟt , phรขn xรกc แป tuแปi 28 Nghi phแบกm thแปฉ 5 cแปงa vแปฅ รกn lร mแปt phแปฅ_nแปฏ 47 tuแปi , nh...0Nguyรชn nhรขn dแบซn ฤแบฟn viแปc รดng Hoร ng giแบฟt bร P. lร gรฌ?( NLฤO ) - Thแบฅy bรฉ gรกi ฤแปฉng chฦกi trฦฐแปc nhร mร khรดng cรณ ngฦฐแปi trรดng giแปฏ , Thuรขn ฤรฃ bแบฏt chรกu bรฉ lรชn nhร vร thแปฑc_hiแปn_hร nh_vi hiแบฟp_dรขm ฤแปi_bแบกi . Tแบกi phiรชn_toร sฦก_thแบฉm ngร y 28 - 3 , TAND tแปnh An_Giang tuyรชn_phแบกt bแป_cรกo Nguyแป n_Vฤn_Thuรขn ( SN 1949 ; ngแปฅ xรฃ ฤa_Phฦฐแปc , huyแปn An_Phรบ , tแปnh An_Giang ) 13 nฤm tรน vแป tแปi " Hiแบฟp_dรขm ngฦฐแปi dฦฐแปi 16 tuแปi " ; ฤแปng_thแปi buแปc bแป_cรกo bแปi_thฦฐแปng tแปn_thแบฅt tinh_thแบงn cho bแป hแบกi 20 triแปu ฤแปng . Bแป_cรกo Nguyแป n_Vฤn_Thuรขn . Theo cรกo_trแบกng , khoแบฃng 15 giแป ngร y 10 - 12 - 2022 , bร ฤแป_Thแป S. dแบซn chรกu nแปi tรชn N. ( SN 2018 ) ra cแบทp bแป sรดng ( thuแปc xรฃ ฤa_Phฦฐแปc ) chฦกi lรด_tรด . Khoแบฃng 30 phรบt sau , Thuรขn thแบฅy chรกu N. ฤang chฦกi trฦฐแปc cแปญa_nhร Thuรขn vร khรดng cรณ ngฦฐแปi trรดng giแปฏ , nรชn nแบฃy_sinh รฝ_ฤแปnh hiแบฟp_dรขm chรกu N. Quang_cแบฃnh phiรชn_tรฒa . ฤแป thแปฑc_hiแปn , Thuรขn ra bแบฟ chรกu N. lรชn hร ng ba nhร mรฌnh , rแปi thแปฑc_hiแปn_hร nh_vi ฤแปi_bแบกi ฤแปi_vแปi chรกu bรฉ . Bแป ฤau , chรกu bรฉ bแป chแบกy ra chแป bร nแปi . Khi vแป ฤแบฟn nhร , bร S. phรกt_hiแปn vร nghi_ngแป Thuรขn xรขm_hแบกi tรฌnh_dแปฅc chรกu N. nรชn ฤแบฟn Cรดng_an xรฃ ฤ...0Vรฌ sao WHO xแบฟp Viแปt Nam vร o nhรณm nguy cฦก cao xรขm nhแบญp bแบกi liแปt vร o thรกng 11/2022, trong khi cรกc nฦฐแปc khรกc vแบซn แป nhรณm cลฉ?( NLฤO ) - Vแป dแปch COVID - 19 hรดm_nay 22 - 3 , Bแป Y_tแบฟ cho biแบฟt sแป ca mแบฏc COVID - 19 lแบกi tฤng trong 24 giแป qua . Bแป Y_tแบฟ cแบฃnh_bรกo nguy_cฦก xรขm_nhแบญp , lรขy_lan cแปงa cรกc tรกc_nhรขn gรขy bแปnh luรดn tiแปm_แบฉn Vแป tรฌnh_hรฌnh dแปch COVID - 19 hรดm_nay , Bแป Y_tแบฟ cho biแบฟt tแปซ 16 giแป ngร y 21 - 3 ฤแบฟn 16 giแป ngร y 22 - 3 , cแบฃ nฦฐแปc ghi_nhแบญn 18 ca mแบฏc , tฤng so vแปi ngร y trฦฐแปc ฤรณ . Kแป tแปซ ฤแบงu dแปch ฤแบฟn nay Viแปt_Nam cรณ 11.527.175 ca nhiแป m , ฤแปฉng thแปฉ 13 / 230 quแปc_gia vร vรนng lรฃnh_thแป , trong khi vแปi tแป_lแป sแป ca nhiแป m / 1 triแปu dรขn , Viแปt_Nam ฤแปฉng thแปฉ 117 / 230 quแปc_gia vร vรนng lรฃnh_thแป ( bรฌnh_quรขn cแปฉ 1 triแปu ngฦฐแปi cรณ 116.491 ca nhiแป m ) . Biแปu_ฤแป dแปch COVID - 19 Trong ngร y , cรณ thรชm 14 bแปnh_nhรขn ฤฦฐแปฃc cรดng_bแป khแปi bแปnh , nรขng tแปng_sแป ca ฤฦฐแปฃc ฤiแปu_trแป khแปi lรชn 10.614.875 ca . Sแป bแปnh_nhรขn ฤang thแป รดxy lร 4 ca . Tแปng_sแป ca tแปญ_vong do COVID - 19 tแบกi Viแปt_Nam_tรญnh ฤแบฟn nay lร 43.186 ca , chiแบฟm tแป_lแป 0,4 % so vแปi tแปng_sแป ca nhiแป m . Tแปng_sแป ca tแปญ_vong xแบฟp thแปฉ 26 / 230 vรนng lรฃnh_thแป , sแป ca tแปญ_vong trรชn 1 triแปu dรขn xแบฟp thแปฉ 139...0 - Loss:
BinaryCrossEntropyLosswith these parameters:{ "activation_fn": "torch.nn.modules.linear.Identity", "pos_weight": null }
Training Hyperparameters
Non-Default Hyperparameters
eval_strategy: stepsper_device_train_batch_size: 32per_device_eval_batch_size: 32num_train_epochs: 1disable_tqdm: False
All Hyperparameters
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overwrite_output_dir: Falsedo_predict: Falseeval_strategy: stepsprediction_loss_only: Trueper_device_train_batch_size: 32per_device_eval_batch_size: 32per_gpu_train_batch_size: Noneper_gpu_eval_batch_size: Nonegradient_accumulation_steps: 1eval_accumulation_steps: Nonetorch_empty_cache_steps: Nonelearning_rate: 5e-05weight_decay: 0.0adam_beta1: 0.9adam_beta2: 0.999adam_epsilon: 1e-08max_grad_norm: 1num_train_epochs: 1max_steps: -1lr_scheduler_type: linearlr_scheduler_kwargs: {}warmup_ratio: 0.0warmup_steps: 0log_level: passivelog_level_replica: warninglog_on_each_node: Truelogging_nan_inf_filter: Truesave_safetensors: Truesave_on_each_node: Falsesave_only_model: Falserestore_callback_states_from_checkpoint: Falseno_cuda: Falseuse_cpu: Falseuse_mps_device: Falseseed: 42data_seed: Nonejit_mode_eval: Falseuse_ipex: Falsebf16: Falsefp16: Falsefp16_opt_level: O1half_precision_backend: autobf16_full_eval: Falsefp16_full_eval: Falsetf32: Nonelocal_rank: 0ddp_backend: Nonetpu_num_cores: Nonetpu_metrics_debug: Falsedebug: []dataloader_drop_last: Falsedataloader_num_workers: 0dataloader_prefetch_factor: Nonepast_index: -1disable_tqdm: Falseremove_unused_columns: Truelabel_names: Noneload_best_model_at_end: Falseignore_data_skip: Falsefsdp: []fsdp_min_num_params: 0fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}fsdp_transformer_layer_cls_to_wrap: Noneaccelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}deepspeed: Nonelabel_smoothing_factor: 0.0optim: adamw_torchoptim_args: Noneadafactor: Falsegroup_by_length: Falselength_column_name: lengthddp_find_unused_parameters: Noneddp_bucket_cap_mb: Noneddp_broadcast_buffers: Falsedataloader_pin_memory: Truedataloader_persistent_workers: Falseskip_memory_metrics: Trueuse_legacy_prediction_loop: Falsepush_to_hub: Falseresume_from_checkpoint: Nonehub_model_id: Nonehub_strategy: every_savehub_private_repo: Nonehub_always_push: Falsegradient_checkpointing: Falsegradient_checkpointing_kwargs: Noneinclude_inputs_for_metrics: Falseinclude_for_metrics: []eval_do_concat_batches: Truefp16_backend: autopush_to_hub_model_id: Nonepush_to_hub_organization: Nonemp_parameters:auto_find_batch_size: Falsefull_determinism: Falsetorchdynamo: Noneray_scope: lastddp_timeout: 1800torch_compile: Falsetorch_compile_backend: Nonetorch_compile_mode: Nonedispatch_batches: Nonesplit_batches: Noneinclude_tokens_per_second: Falseinclude_num_input_tokens_seen: Falseneftune_noise_alpha: Noneoptim_target_modules: Nonebatch_eval_metrics: Falseeval_on_start: Falseuse_liger_kernel: Falseeval_use_gather_object: Falseaverage_tokens_across_devices: Falseprompts: Nonebatch_sampler: batch_samplermulti_dataset_batch_sampler: proportionalrouter_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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Base model
itdainb/PhoRankerEvaluation results
- Accuracy on Quora devself-reported1.000
- Accuracy Threshold on Quora devself-reported0.000
- F1 on Quora devself-reported1.000
- F1 Threshold on Quora devself-reported0.000
- Precision on Quora devself-reported1.000
- Recall on Quora devself-reported1.000
- Average Precision on Quora devself-reported1.000