Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Paper โข 1908.10084 โข Published โข 20
How to use KhoaUIT/Halong-CrossEncoder-UIT-R2GQA with sentence-transformers:
from sentence_transformers import CrossEncoder
model = CrossEncoder("KhoaUIT/Halong-CrossEncoder-UIT-R2GQA")
query = "Which planet is known as the Red Planet?"
passages = [
"Venus is often called Earth's twin because of its similar size and proximity.",
"Mars, known for its reddish appearance, is often referred to as the Red Planet.",
"Jupiter, the largest planet in our solar system, has a prominent red spot.",
"Saturn, famous for its rings, is sometimes mistaken for the Red Planet."
]
scores = model.predict([(query, passage) for passage in passages])
print(scores)This is a Cross Encoder model finetuned from KhoaUIT/Halong-UIT-R2GQA using the sentence-transformers library. It computes scores for pairs of texts, which can be used for text reranking and semantic search.
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("KhoaUIT/KhoaUIT-CrossEncoder-UIT-R2GQA")
# Get scores for pairs of texts
pairs = [
['Trฦฐแปng hแปฃp mแปt SV ฤฦฐแปฃc CBCT cho xem bร i cแปงa SV khรกc trong giแป thi ฤฦฐแปฃc giแบฃi quyแบฟt nhฦฐ thแบฟ nร o?', 'ฤiแปu 22. Xแปญ lรฝ cรกn bแป vi phแบกm quy ฤแปnh Trong thแปi gian thi, nแบฟu cรกc cรกn bแป thanh tra thi phรกt hiแปn thแบฅy cรกc trฦฐแปng hแปฃp vi phแบกm thรฌ lแบญp biรชn bแบฃn tแบกi chแป vร ฤแป nghแป Hiแปu trฦฐแปng xแปญ lรฝ. Ngฦฐแปi tham gia cรดng tรกc thi cรณ hร nh vi vi phแบกm quy ฤแปnh (bแป phรกt hiแปn trong khi lร m nhiแปm vแปฅ hoแบทc sau kแปณ thi), nแบฟu cรณ ฤแปง chแปฉng cแปฉ, tรนy theo mแปฉc ฤแป, sแบฝ bแป xแปญ lรฝ theo cรกc hรฌnh thแปฉc sau ฤรขy. 1. Khiแปn trรกch ฤแปi vแปi nhแปฏng ngฦฐแปi phแบกm lแปi nhแบน trong khi thi hร nh nhiแปm vแปฅ. 2. Cแบฃnh cรกo ฤแปi vแปi nhแปฏng ngฦฐแปi vi phแบกm mแปt trong cรกc lแปi sau ฤรขy: a. CBCT bแป coi thi mร khรดng thรดng bรกo cho ฤฦกn vแป tแป chแปฉc mรดn thi tแปซ 2 lแบงn trแป lรชn trong mแปt ฤแปฃt thi. b. CBCT ฤแป cho SV tแปฑ do trao ฤแปi khi lร m bร i, sแปญ dแปฅng tร i liแปu bแป cแบฅm sแปญ dแปฅng hoแบทc sแปญ dแปฅng cรกc phฦฐฦกng tiแปn thรดng tin liรชn lแบกc tแบกi phรฒng thi. c. Cรกn bแป chแบฅm thi chแบฅm ฤiแปm hoแบทc cแปng ฤiแปm bร i thi cรณ nhiแปu sai sรณt (trรชn 5% tแปng sแป bร i thi). d. Cรกn bแป chแบฅm thi nแปp ฤiแปm trแป
so vแปi thแปi hแบกn quy ฤแปnh. 3. Tรนy theo mแปฉc ฤแป vi phแบกm cรณ thแป bแป hแบก bแบญc lฦฐฦกng, hแบก ngแบกch, cรกch chแปฉc hoแบทc chuyแปn ฤi lร m cรดng tรกc khรกc ฤแปi vแปi nhแปฏng ngฦฐแปi vi phแบกm mแปt trong cรกc lแปi sau ฤรขy: a. Trแปฑc tiแบฟp giแบฃi bร i rแปi hฦฐแปng dแบซn cho SV lรบc ฤang thi. b. Lแบฅy bร i thi cแปงa SV lร m ฤฦฐแปฃc giao cho SV khรกc. 4. Buแปc thรดi viแปc hoแบทc bแป xแปญ lรฝ theo phรกp luแบญt ฤแปi vแปi ngฦฐแปi cรณ mแปt trong cรกc hร nh vi sai phแบกm sau ฤรขy: a. Lร m lแป ฤแป thi, mua, bรกn ฤแป thi. b. ฤฦฐa ฤแป thi ra ngoร i khu vแปฑc thi hoแบทc ฤฦฐa bร i giแบฃi tแปซ ngoร i vร o phรฒng thi trong lรบc ฤang thi. c. Cแป tรฌnh lร m sai lแปch ฤiแปm trรชn bร i thi hoแบทc trong bแบฃng ฤiแปm. d. ฤรกnh trรกo bร i thi cแปงa SV. 5. Cรกn bแป lร m mแบฅt bร i thi cแปงa SV khi thu bร i thi, vแบญn chuyแปn, bแบฃo quแบฃn, chแบฅm thi hoแบทc cรณ nhแปฏng sai phแบกm khรกc trong cรดng tรกc tแป chแปฉc thi, tรนy theo tรญnh chแบฅt, mแปฉc ฤแป vi phแบกm sแบฝ bแป xแปญ lรฝ vi phแบกm theo mแปt trong cรกc hรฌnh thแปฉc quy ฤแปnh tแบกi ฤiแปu nร y. 6. Nhแปฏng cรกn bแป, SV tuy khรดng tham gia cรดng tรกc thi nhฦฐng nแบฟu cรณ cรกc hร nh ฤแปng tiรชu cแปฑc nhฦฐ: thi hแป, tแป chแปฉc lแบฅy ฤแป thi ra vร ฤฦฐa bร i giแบฃi vร o cho SV, gรขy rแปi lร m mแบฅt trแบฅt tแปฑ tแบกi khu vแปฑc thi sแบฝ bแป buแปc thรดi viแปc (nแบฟu lร cรกn bแป) hoแบทc buแปc thรดi hแปc (nแบฟu lร hแปc sinh, SV).'],
['Cรณ thแป nhแบญn chแปฉng chแป hai lแบงn trแป lรชn khรดng?', 'ฤiแปu 2. Nguyรชn tแบฏc quแบฃn lรฝ, cแบฅp phรกt vฤn bแบฑng, chแปฉng chแป 1. Vฤn bแบฑng, chแปฉng chแป cแปงa Trฦฐแปng ฤHCNTT phรกt hร nh thuแปc hแป thแปng vฤn bแบฑng, chแปฉng chแป giรกo dแปฅc quแปc dรขn. 2. Vฤn bแบฑng, chแปฉng chแป ฤฦฐแปฃc quแบฃn lรฝ thแปng nhแบฅt, thแปฑc hiแปn phรขn cแบฅp quแบฃn lรฝ bแบฃo ฤแบฃm quyแปn vร trรกch nhiแปm cแปงa cรกc ฤฦกn vแป trong Trฦฐแปng. 3. Vฤn bแบฑng, chแปฉng chแป ฤฦฐแปฃc cแบฅp mแปt lแบงn trแปซ trฦฐแปng hแปฃp quy ฤแปnh tแบกi ฤiแปu 15 cแปงa Quy chแบฟ nร y. 4. Nghiรชm cแบฅm mแปi hร nh vi gian lแบญn trong cแบฅp phรกt vร sแปญ dแปฅng vฤn bแบฑng, chแปฉng chแป. 5. Bแบฃo ฤแบฃm cรดng khai, minh bแบกch trong cแบฅp phรกt vฤn bแบฑng, chแปฉng chแป.'],
['ฤฦกn vแป nร o chแปu trรกch nhiแปm xแบฟp lแปch thi, ฤฦฐa thรดng tin lแปch thi cรกc ฤแปฃt thi tแบญp trung hแป ฤแบกi hแปc chรญnh quy lรชn Hแป thแปng ?', 'V. NแปI DUNG QUY TRรNH Quy trรฌnh phรขn cรดng cรกn bแป coi thi gแปm 3 giai ฤoแบกn tฦฐฦกng แปฉng vแปi 3 quy trรฌnh thร nh phแบงn: ฤฤng kรฝ coi thi, Phรขn cรดng cรกn bแป coi thi vร Tแปng kแบฟt coi thi. Chi tiแบฟt cรกc quy trรฌnh nhฦฐ sau. 1. Quy trรฌnh ฤฤng kรฝ coi thi Bฦฐแปc 1: Xรขy dแปฑng kแบฟ hoแบกch thi Phรฒng ฤร o tแบกo ฤแบกi hแปc xรขy dแปฑng vร thรดng bรกo kแบฟ hoแบกch thi cho cรกc ฤฦกn vแป tแป chแปฉc thi; trong ฤรณ xรกc ฤแปnh rรต cรกc mแปc thแปi gian chรญnh. Thแปi gian trฦฐแปc 21 ngร y tรญnh tแปซ ngร y mแป hแป thแปng ฤฤng kรฝ coi thi. Bฦฐแปc 2: Xแบฟp lแปch thi, ฤฦฐa lแปch thi lรชn hแป thแปng Phรฒng ฤร o tแบกo ฤแบกi hแปc xแบฟp lแปch thi, ฤฦฐa thรดng tin lแปch thi lรชn Hแป thแปng vร gแปญi cho cรกc ฤฦกn vแป tแป chแปฉc thi ฤแป chuแบฉn bแป cho cรดng tรกc ฤฤng kรฝ coi thi. Hแป thแปng hแป trแปฃ kiแปm tra tรญnh hแปฃp lแป cแปงa lแปch thi. Thแปi gian trฦฐแปc 21 ngร y kแป tแปซ ngร y mแป hแป thแปng ฤฤng kรฝ coi thi. Bฦฐแปc 3: Thรดng bรกo cรกn bแป vร sinh viรชn ฤฤng kรฝ coi thi Phรฒng ฤร o tแบกo ฤแบกi hแปc thรดng bรกo cho cรกn bแป vร sinh viรชn ฤฤng kรฝ coi thi qua email hoแบทc trรชn trang web Cแปng thรดng tin ฤร o tแบกo ฤแบกi hแปc. Thแปi gian trฦฐแปc 7 ngร y kแป tแปซ ngร y mแป hแป thแปng ฤฤng kรฝ coi thi. Bฦฐแปc 4: Mแป hแป thแปng ฤฤng kรฝ coi thi Phรฒng ฤร o tแบกo ฤแบกi hแปc mแป Hแป thแปng ฤแป cรกn bแป, sinh viรชn ฤฤng kรฝ coi thi theo cรกc mแปc thแปi gian trong kแบฟ hoแบกch. Bฦฐแปc 5: ฤฤng kรฝ coi thi Cรกn bแป vร sinh viรชn ฤฤng kรฝ coi thi trรชn Hแป thแปng. Bฦฐแปc 6: ฤรณng hแป thแปng ฤฤng kรฝ coi thi Phรฒng ฤร o tแบกo ฤแบกi hแปc ฤรณng Hแป thแปng khi kแบฟt thรบc thแปi gian theo quy ฤแปnh. 2. Quy trรฌnh phรขn cรดng cรกn bแป coi thi Bฦฐแปc 1: Chแบกy chแปฉc nฤng Phรขn cรดng CBCT Phรฒng ฤร o tแบกo ฤแบกi hแปc chแบกy chแปฉc nฤng phรขn cรดng cรกn bแป coi thi cแปงa phแบงn mแปm quแบฃn lรฝ ฤร o tแบกo. Hแป thแปng tแปฑ ฤแปng tรญnh ฤแปnh mแปฉc coi thi cแปงa giแบฃng viรชn ฤiแปn tรชn cรกn bแป chฦฐa ฤฤng kรฝ ฤแปง sแป lฦฐแปฃt coi thi theo quy ฤแปnh vร o cรกc ca thi chฦฐa cรณ cรกn bแป coi thi. Thแปi gian thแปฑc hiแปn trฦฐแปc 8 ngร y kแป tแปซ ngร y thi ฤแบงu tiรชn cแปงa ฤแปฃt thi. Bฦฐแปc 2: Thรดng bรกo CBCT kiแปm tra lแปch coi thi Phรฒng ฤร o tแบกo ฤแบกi hแปc thรดng bรกo cรกn bแป coi thi kiแปm tra lแปch coi thi tแบกi Cแปng thรดng tin ฤร o tแบกo ฤแบกi hแปc. Thแปi gian thแปฑc hiแปn trฦฐแปc 7 ngร y kแป tแปซ ngร y thi ฤแบงu tiรชn cแปงa ฤแปฃt thi. Bฦฐแปc 3: CBCT kiแปm tra lแปch coi thi, ฤแป xuแบฅt CBCT thay thแบฟ (nแบฟu cแบงn) Nแบฟu vรฌ lรฝ do bแบฅt khแบฃ khรกng, cรกn bแป coi thi khรดng thแป coi thi theo lแปch ฤรฃ phรขn cรดng thรฌ cรกn bแป coi thi tรฌm ngฦฐแปi thay thแบฟ vร sแปญ dแปฅng chแปฉc nฤng ฤแป xuแบฅt cรกn bแป coi thi thay thแบฟ cแปงa Hแป thแปng. Sau khi ngฦฐแปi coi thi thay xรกc nhแบญn ฤแปng รฝ coi thi thay qua Hแป thแปng thรฌ thay thแบฟ ฤรณ mแปi cรณ hiแปu lแปฑc. Nแบฟu khรดng tรฌm ฤฦฐแปฃc ngฦฐแปi thay thแบฟ cแปฅ thแป thรฌ cรกn bแป coi thi vแบซn cรณ thแป sแปญ dแปฅng chแปฉc nฤng ฤแป xuแบฅt cรกn bแป coi thi thay thแบฟ ฤแป tรฌm ngฦฐแปi hแป trแปฃ coi thi, vร phรขn cรดng ฤฦฐแปฃc thay ฤแปi khi cรณ ngฦฐแปi xรกc nhแบญn ฤแปng รฝ coi thi thay trรชn Hแป thแปng. Thแปi gian thแปฑc hiแปn trฦฐแปc 6 ngร y kแป tแปซ ngร y thi ฤแบงu tiรชn cแปงa ฤแปฃt thi. Bฦฐแปc 4: CBCT thแปฑc hiแปn cรดng tรกc coi thi Cรกn bแป coi thi cรณ trรกch nhiแปm thแปฑc hiแปn cรดng tรกc coi thi theo ฤรบng lแปch coi thi trรชn Hแป thแปng. 3. Quy trรฌnh tแปng kแบฟt coi thi Bฦฐแปc 1: Khรณa Hแป thแปng Phรฒng ฤร o tแบกo ฤแบกi hแปc khรณa toร n bแป chแปฉc nฤng thay ฤแปi phรขn cรดng cรกn bแป coi thi trรชn Hแป thแปng. Thแปi gian hoร n thร nh lร 1 ngร y sau ngร y thi cuแปi cรนng cแปงa ฤแปฃt thi. Bฦฐแปc 2: Xรกc nhแบญn viแปc thแปฑc hiแปn coi thi Cรกc ฤฦกn vแป tแป chแปฉc thi xรกc nhแบญn cรกn bแป coi thi thแปฑc tแบฟ cho cรกc ca thi do ฤฦกn vแป phแปฅ trรกch vร gแปญi bรกo cรกo tรฌnh hรฌnh coi thi cho Ban Giรกm hiแปu thรดng qua Phรฒng ฤร o tแบกo ฤแบกi hแปc nแบฟu cรณ cรกn bแป coi thi vi phแบกm quy ฤแปnh vแป coi thi. Thแปi gian hoร n thร nh lร 1 ngร y sau ngร y thi cuแปi cรนng cแปงa ฤแปฃt thi. Bฦฐแปc 3: Tแปng kแบฟt coi thi Trฦฐแปng xem xรฉt xแปญ lรฝ kแปท luแบญt cรกn bแป coi thi vi phแบกm quy ฤแปnh vแป coi thi (nแบฟu cรณ). Phรฒng ฤร o tแบกo ฤแบกi hแปc lร m ฤแป xuแบฅt, Phรฒng Kแบฟ hoแบกch Tร i chรญnh lร m thแปง tแปฅc chi trแบฃ thรน lao coi thi cho cรกn bแป coi thi theo quy ฤแปnh. Thแปi gian hoร n thร nh lร 10 ngร y sau ngร y thi cuแปi cรนng cแปงa ฤแปฃt thi.'],
['Sau khi buแปi hแปc bแบฏt ฤแบงu 15 phรบt nแบฟu lแปp hแปc khรดng cรณ sinh viรชn mร khรดng rรต lรฝ do, CBGD cรณ thแป ฤฦฐแปฃc nghแป khรดng?', '1. QUY ฤแปNH CHUNG - Phรฒng ฤร o tแบกo ฤแบกi hแปc (P. ฤTฤH) lร ฤฦกn vแป trแปฑc tiแบฟp tiแบฟp nhแบญn thรดng tin vร xแปญ lรฝ viแปc bรกo thay ฤแปi liรชn quan ฤแบฟn giแบฃng dแบกy (nghแป dแบกy, thay ฤแปi cรกn bแป giแบฃng dแบกy) vร ฤฤng kรฝ dแบกy bรน cแปงa cรกn bแป giแบฃng dแบกy. - Phรฒng Thanh tra phรกp chแบฟ vร ฤแบฃm bแบฃo chแบฅt lฦฐแปฃng (P. TTPC&ฤBCL) lร ฤฦกn vแป phแปi hแปฃp vแปi P. ฤTฤH, chแปu trรกch nhiแปm thanh tra, giรกm sรกt viแปc giแบฃng dแบกy; thแปng kรช vร bรกo cรกo ฤแปnh kแปณ vแป tรฌnh hรฌnh giแบฃng dแบกy cho Ban Giรกm hiแปu vร cรกc bรชn liรชn quan. - CBGD phแบฃi dแบกy ฤแปง sแป tiแบฟt theo qui ฤแปnh cแปงa mรดn hแปc (qui ฤแปnh trong ฤแป cฦฐฦกng mรดn hแปc). Cรกc tiแบฟt nghแป dแบกy phแบฃi ฤฦฐแปฃc ฤฤng kรฝ dแบกy bรน sau hoแบทc trฦฐแปc ฤรณ cho ฤแบงy ฤแปง. - CBGD phแบฃi bรกo cho P. ฤTฤH viแปc thay ฤแปi giแบฃng dแบกy (nghแป dแบกy, thay ฤแปi CBGD tแบกm thแปi). Trong trฦฐแปng hแปฃp ฤแปt xuแบฅt, CBGD phแบฃi thรดng bรกo ngay cho P. ฤTฤH chแบญm nhแบฅt lร 15 phรบt sau khi buแปi hแปc bแบฏt ฤแบงu vร gแปญi giแบฅy bรกo nghแป trong vรฒng 5 ngร y sau buแปi dแบกy ฤรฃ cho nghแป. CBGD khรดng ฤฦฐแปฃc nghแป dแบกy quรก 3 buแปi/hแปc kแปณ/lแปp trแปซ nhแปฏng trฦฐแปng hแปฃp nghแป do ฤฦฐแปฃc ฤiแปu ฤแปng cรดng tรกc cแปงa trฦฐแปng. - Sau khi buแปi hแปc bแบฏt ฤแบงu 15 phรบt: o Nแบฟu lแปp hแปc khรดng cรณ sinh viรชn mร khรดng rรต lรฝ do, CBGD cรณ thแป ฤฦฐแปฃc nghแป sau khi ฤรฃ bรกo vแปi P.ฤTฤH vร khรดng nhแบฅt thiแบฟt phแบฃi dแบกy bรน cho buแปi hแปc nร y. o Nแบฟu CBGD chฦฐa ฤแบฟn lแปp mร khรดng rรต lรฝ do thรฌ ฤฦฐแปฃc xem lร nghแป buแปi dแบกy ฤรณ vร CBGD bแบฏt buแปc phแบฃi tiแบฟn hร nh dแบกy bรน vร o buแปi khรกc. Trong trฦฐแปng hแปฃp bแบฅt khแบฃ khรกng mร CBGD ฤแบฟn trแป
quรก 15 phรบt (nhฦฐng khรดng quรก 30 phรบt) thรฌ phแบฃi bรกo ngay cho P.ฤTฤH ฤแป thรดng bรกo cho sinh viรชn chแป, CBGD bแบฏt buแปc tiแบฟn hร nh dแบกy bรน cho tiแบฟt hแปc ฤรณ. - Trฦฐแปng hแปฃp thay ฤแปi CBGD tแบกm thแปi (CBGD bแบญn ฤแปt xuแบฅt nhฦฐng cรณ CBGD khรกc dแบกy thay): CBGD chรญnh cลฉng thแปฑc hiแปn tฦฐฦกng tแปฑ nhฦฐ bรกo nghแป dแบกy. Sแป buแปi cรณ CBGD khรกc dแบกy thay cแปงa mแปt lแปp khรดng ฤฦฐแปฃc quรก 30% tแปng sแป buแปi dแบกy lแปp ฤรณ. - Nแบฟu CBGD dแบกy bรน trong thแปi gian thแปฑc hแปc phแบฃi ฤฤng kรฝ viแปc dแบกy bรน trฦฐแปc ngร y dแบกy bรน รญt nhแบฅt lร 5 ngร y vร buแปi dแบกy bรน khรดng ฤฦฐแปฃc cรนng ngร y vแปi buแปi hแปc chรญnh theo thแปi khรณa biแปu cแปงa lแปp. - P. ฤTฤH cรณ thแป yรชu cแบงu CBGD ฤแปi buแปi dแบกy bรน nแบฟu thแปi gian mร CBGD ฤฤng kรฝ khรดng phรน hแปฃp vแปi lแปch hแปc cแปงa sinh viรชn (cรณ trรชn 30% sinh viรชn cแปงa lแปp cรณ lแปch hแปc khรกc cแปงa trฦฐแปng vร o thแปi gian CBGD ฤฤng kรฝ dแบกy bรน).'],
['Hแปc phรญ cแปงa chฦฐฦกng trรฌnh ฤร o tแบกo tแปซ xa ฤฦฐแปฃc tรญnh nhฦฐ thแบฟ nร o?', 'ฤiแปu 10. Nguyรชn tแบฏc xรกc ฤแปnh hแปc phรญ Hแปc phรญ ฤฦฐแปฃc thu theo tแปซng hแปc kแปณ vร ฤฦฐแปฃc tรญnh theo cรดng thแปฉc sau: Hแปc phรญ = HPTCHM ร TCHPHM + HPTCHL ร TCHPHL + HPTCCT ร TCHPCT Trong ฤรณ: - HPTCHM: mแปฉc hแปc phรญ cho loแบกi tรญn chแป hแปc phรญ hแปc mแปi. - TCHPHM: tแปng sแป tรญn chแป hแปc phรญ cแปงa cรกc mรดn hแปc mแปi. - HPTCHL: mแปฉc hแปc phรญ cho loแบกi tรญn chแป hแปc phรญ hแปc lแบกi. - TCHPHL: tแปng sแป tรญn chแป hแปc phรญ cแปงa cรกc mรดn hแปc lแบกi. - HPTCCT: mแปฉc hแปc phรญ cho loแบกi tรญn chแป hแปc phรญ hแปc cแบฃi thiแปn. - TCHPCT: tแปng sแป tรญn chแป hแปc phรญ cแปงa cรกc mรดn hแปc cแบฃi thiแปn Vร o ฤแบงu khรณa hแปc hoแบทc nฤm hแปc, Trฦฐแปng cรดng bแป mแปฉc hแปc phรญ cho mแปi loแบกi tรญn chแป hแปc phรญ.'],
]
scores = model.predict(pairs)
print(scores.shape)
# (5,)
# Or rank different texts based on similarity to a single text
ranks = model.rank(
'Trฦฐแปng hแปฃp mแปt SV ฤฦฐแปฃc CBCT cho xem bร i cแปงa SV khรกc trong giแป thi ฤฦฐแปฃc giแบฃi quyแบฟt nhฦฐ thแบฟ nร o?',
[
'ฤiแปu 22. Xแปญ lรฝ cรกn bแป vi phแบกm quy ฤแปnh Trong thแปi gian thi, nแบฟu cรกc cรกn bแป thanh tra thi phรกt hiแปn thแบฅy cรกc trฦฐแปng hแปฃp vi phแบกm thรฌ lแบญp biรชn bแบฃn tแบกi chแป vร ฤแป nghแป Hiแปu trฦฐแปng xแปญ lรฝ. Ngฦฐแปi tham gia cรดng tรกc thi cรณ hร nh vi vi phแบกm quy ฤแปnh (bแป phรกt hiแปn trong khi lร m nhiแปm vแปฅ hoแบทc sau kแปณ thi), nแบฟu cรณ ฤแปง chแปฉng cแปฉ, tรนy theo mแปฉc ฤแป, sแบฝ bแป xแปญ lรฝ theo cรกc hรฌnh thแปฉc sau ฤรขy. 1. Khiแปn trรกch ฤแปi vแปi nhแปฏng ngฦฐแปi phแบกm lแปi nhแบน trong khi thi hร nh nhiแปm vแปฅ. 2. Cแบฃnh cรกo ฤแปi vแปi nhแปฏng ngฦฐแปi vi phแบกm mแปt trong cรกc lแปi sau ฤรขy: a. CBCT bแป coi thi mร khรดng thรดng bรกo cho ฤฦกn vแป tแป chแปฉc mรดn thi tแปซ 2 lแบงn trแป lรชn trong mแปt ฤแปฃt thi. b. CBCT ฤแป cho SV tแปฑ do trao ฤแปi khi lร m bร i, sแปญ dแปฅng tร i liแปu bแป cแบฅm sแปญ dแปฅng hoแบทc sแปญ dแปฅng cรกc phฦฐฦกng tiแปn thรดng tin liรชn lแบกc tแบกi phรฒng thi. c. Cรกn bแป chแบฅm thi chแบฅm ฤiแปm hoแบทc cแปng ฤiแปm bร i thi cรณ nhiแปu sai sรณt (trรชn 5% tแปng sแป bร i thi). d. Cรกn bแป chแบฅm thi nแปp ฤiแปm trแป
so vแปi thแปi hแบกn quy ฤแปnh. 3. Tรนy theo mแปฉc ฤแป vi phแบกm cรณ thแป bแป hแบก bแบญc lฦฐฦกng, hแบก ngแบกch, cรกch chแปฉc hoแบทc chuyแปn ฤi lร m cรดng tรกc khรกc ฤแปi vแปi nhแปฏng ngฦฐแปi vi phแบกm mแปt trong cรกc lแปi sau ฤรขy: a. Trแปฑc tiแบฟp giแบฃi bร i rแปi hฦฐแปng dแบซn cho SV lรบc ฤang thi. b. Lแบฅy bร i thi cแปงa SV lร m ฤฦฐแปฃc giao cho SV khรกc. 4. Buแปc thรดi viแปc hoแบทc bแป xแปญ lรฝ theo phรกp luแบญt ฤแปi vแปi ngฦฐแปi cรณ mแปt trong cรกc hร nh vi sai phแบกm sau ฤรขy: a. Lร m lแป ฤแป thi, mua, bรกn ฤแป thi. b. ฤฦฐa ฤแป thi ra ngoร i khu vแปฑc thi hoแบทc ฤฦฐa bร i giแบฃi tแปซ ngoร i vร o phรฒng thi trong lรบc ฤang thi. c. Cแป tรฌnh lร m sai lแปch ฤiแปm trรชn bร i thi hoแบทc trong bแบฃng ฤiแปm. d. ฤรกnh trรกo bร i thi cแปงa SV. 5. Cรกn bแป lร m mแบฅt bร i thi cแปงa SV khi thu bร i thi, vแบญn chuyแปn, bแบฃo quแบฃn, chแบฅm thi hoแบทc cรณ nhแปฏng sai phแบกm khรกc trong cรดng tรกc tแป chแปฉc thi, tรนy theo tรญnh chแบฅt, mแปฉc ฤแป vi phแบกm sแบฝ bแป xแปญ lรฝ vi phแบกm theo mแปt trong cรกc hรฌnh thแปฉc quy ฤแปnh tแบกi ฤiแปu nร y. 6. Nhแปฏng cรกn bแป, SV tuy khรดng tham gia cรดng tรกc thi nhฦฐng nแบฟu cรณ cรกc hร nh ฤแปng tiรชu cแปฑc nhฦฐ: thi hแป, tแป chแปฉc lแบฅy ฤแป thi ra vร ฤฦฐa bร i giแบฃi vร o cho SV, gรขy rแปi lร m mแบฅt trแบฅt tแปฑ tแบกi khu vแปฑc thi sแบฝ bแป buแปc thรดi viแปc (nแบฟu lร cรกn bแป) hoแบทc buแปc thรดi hแปc (nแบฟu lร hแปc sinh, SV).',
'ฤiแปu 2. Nguyรชn tแบฏc quแบฃn lรฝ, cแบฅp phรกt vฤn bแบฑng, chแปฉng chแป 1. Vฤn bแบฑng, chแปฉng chแป cแปงa Trฦฐแปng ฤHCNTT phรกt hร nh thuแปc hแป thแปng vฤn bแบฑng, chแปฉng chแป giรกo dแปฅc quแปc dรขn. 2. Vฤn bแบฑng, chแปฉng chแป ฤฦฐแปฃc quแบฃn lรฝ thแปng nhแบฅt, thแปฑc hiแปn phรขn cแบฅp quแบฃn lรฝ bแบฃo ฤแบฃm quyแปn vร trรกch nhiแปm cแปงa cรกc ฤฦกn vแป trong Trฦฐแปng. 3. Vฤn bแบฑng, chแปฉng chแป ฤฦฐแปฃc cแบฅp mแปt lแบงn trแปซ trฦฐแปng hแปฃp quy ฤแปnh tแบกi ฤiแปu 15 cแปงa Quy chแบฟ nร y. 4. Nghiรชm cแบฅm mแปi hร nh vi gian lแบญn trong cแบฅp phรกt vร sแปญ dแปฅng vฤn bแบฑng, chแปฉng chแป. 5. Bแบฃo ฤแบฃm cรดng khai, minh bแบกch trong cแบฅp phรกt vฤn bแบฑng, chแปฉng chแป.',
'V. NแปI DUNG QUY TRรNH Quy trรฌnh phรขn cรดng cรกn bแป coi thi gแปm 3 giai ฤoแบกn tฦฐฦกng แปฉng vแปi 3 quy trรฌnh thร nh phแบงn: ฤฤng kรฝ coi thi, Phรขn cรดng cรกn bแป coi thi vร Tแปng kแบฟt coi thi. Chi tiแบฟt cรกc quy trรฌnh nhฦฐ sau. 1. Quy trรฌnh ฤฤng kรฝ coi thi Bฦฐแปc 1: Xรขy dแปฑng kแบฟ hoแบกch thi Phรฒng ฤร o tแบกo ฤแบกi hแปc xรขy dแปฑng vร thรดng bรกo kแบฟ hoแบกch thi cho cรกc ฤฦกn vแป tแป chแปฉc thi; trong ฤรณ xรกc ฤแปnh rรต cรกc mแปc thแปi gian chรญnh. Thแปi gian trฦฐแปc 21 ngร y tรญnh tแปซ ngร y mแป hแป thแปng ฤฤng kรฝ coi thi. Bฦฐแปc 2: Xแบฟp lแปch thi, ฤฦฐa lแปch thi lรชn hแป thแปng Phรฒng ฤร o tแบกo ฤแบกi hแปc xแบฟp lแปch thi, ฤฦฐa thรดng tin lแปch thi lรชn Hแป thแปng vร gแปญi cho cรกc ฤฦกn vแป tแป chแปฉc thi ฤแป chuแบฉn bแป cho cรดng tรกc ฤฤng kรฝ coi thi. Hแป thแปng hแป trแปฃ kiแปm tra tรญnh hแปฃp lแป cแปงa lแปch thi. Thแปi gian trฦฐแปc 21 ngร y kแป tแปซ ngร y mแป hแป thแปng ฤฤng kรฝ coi thi. Bฦฐแปc 3: Thรดng bรกo cรกn bแป vร sinh viรชn ฤฤng kรฝ coi thi Phรฒng ฤร o tแบกo ฤแบกi hแปc thรดng bรกo cho cรกn bแป vร sinh viรชn ฤฤng kรฝ coi thi qua email hoแบทc trรชn trang web Cแปng thรดng tin ฤร o tแบกo ฤแบกi hแปc. Thแปi gian trฦฐแปc 7 ngร y kแป tแปซ ngร y mแป hแป thแปng ฤฤng kรฝ coi thi. Bฦฐแปc 4: Mแป hแป thแปng ฤฤng kรฝ coi thi Phรฒng ฤร o tแบกo ฤแบกi hแปc mแป Hแป thแปng ฤแป cรกn bแป, sinh viรชn ฤฤng kรฝ coi thi theo cรกc mแปc thแปi gian trong kแบฟ hoแบกch. Bฦฐแปc 5: ฤฤng kรฝ coi thi Cรกn bแป vร sinh viรชn ฤฤng kรฝ coi thi trรชn Hแป thแปng. Bฦฐแปc 6: ฤรณng hแป thแปng ฤฤng kรฝ coi thi Phรฒng ฤร o tแบกo ฤแบกi hแปc ฤรณng Hแป thแปng khi kแบฟt thรบc thแปi gian theo quy ฤแปnh. 2. Quy trรฌnh phรขn cรดng cรกn bแป coi thi Bฦฐแปc 1: Chแบกy chแปฉc nฤng Phรขn cรดng CBCT Phรฒng ฤร o tแบกo ฤแบกi hแปc chแบกy chแปฉc nฤng phรขn cรดng cรกn bแป coi thi cแปงa phแบงn mแปm quแบฃn lรฝ ฤร o tแบกo. Hแป thแปng tแปฑ ฤแปng tรญnh ฤแปnh mแปฉc coi thi cแปงa giแบฃng viรชn ฤiแปn tรชn cรกn bแป chฦฐa ฤฤng kรฝ ฤแปง sแป lฦฐแปฃt coi thi theo quy ฤแปnh vร o cรกc ca thi chฦฐa cรณ cรกn bแป coi thi. Thแปi gian thแปฑc hiแปn trฦฐแปc 8 ngร y kแป tแปซ ngร y thi ฤแบงu tiรชn cแปงa ฤแปฃt thi. Bฦฐแปc 2: Thรดng bรกo CBCT kiแปm tra lแปch coi thi Phรฒng ฤร o tแบกo ฤแบกi hแปc thรดng bรกo cรกn bแป coi thi kiแปm tra lแปch coi thi tแบกi Cแปng thรดng tin ฤร o tแบกo ฤแบกi hแปc. Thแปi gian thแปฑc hiแปn trฦฐแปc 7 ngร y kแป tแปซ ngร y thi ฤแบงu tiรชn cแปงa ฤแปฃt thi. Bฦฐแปc 3: CBCT kiแปm tra lแปch coi thi, ฤแป xuแบฅt CBCT thay thแบฟ (nแบฟu cแบงn) Nแบฟu vรฌ lรฝ do bแบฅt khแบฃ khรกng, cรกn bแป coi thi khรดng thแป coi thi theo lแปch ฤรฃ phรขn cรดng thรฌ cรกn bแป coi thi tรฌm ngฦฐแปi thay thแบฟ vร sแปญ dแปฅng chแปฉc nฤng ฤแป xuแบฅt cรกn bแป coi thi thay thแบฟ cแปงa Hแป thแปng. Sau khi ngฦฐแปi coi thi thay xรกc nhแบญn ฤแปng รฝ coi thi thay qua Hแป thแปng thรฌ thay thแบฟ ฤรณ mแปi cรณ hiแปu lแปฑc. Nแบฟu khรดng tรฌm ฤฦฐแปฃc ngฦฐแปi thay thแบฟ cแปฅ thแป thรฌ cรกn bแป coi thi vแบซn cรณ thแป sแปญ dแปฅng chแปฉc nฤng ฤแป xuแบฅt cรกn bแป coi thi thay thแบฟ ฤแป tรฌm ngฦฐแปi hแป trแปฃ coi thi, vร phรขn cรดng ฤฦฐแปฃc thay ฤแปi khi cรณ ngฦฐแปi xรกc nhแบญn ฤแปng รฝ coi thi thay trรชn Hแป thแปng. Thแปi gian thแปฑc hiแปn trฦฐแปc 6 ngร y kแป tแปซ ngร y thi ฤแบงu tiรชn cแปงa ฤแปฃt thi. Bฦฐแปc 4: CBCT thแปฑc hiแปn cรดng tรกc coi thi Cรกn bแป coi thi cรณ trรกch nhiแปm thแปฑc hiแปn cรดng tรกc coi thi theo ฤรบng lแปch coi thi trรชn Hแป thแปng. 3. Quy trรฌnh tแปng kแบฟt coi thi Bฦฐแปc 1: Khรณa Hแป thแปng Phรฒng ฤร o tแบกo ฤแบกi hแปc khรณa toร n bแป chแปฉc nฤng thay ฤแปi phรขn cรดng cรกn bแป coi thi trรชn Hแป thแปng. Thแปi gian hoร n thร nh lร 1 ngร y sau ngร y thi cuแปi cรนng cแปงa ฤแปฃt thi. Bฦฐแปc 2: Xรกc nhแบญn viแปc thแปฑc hiแปn coi thi Cรกc ฤฦกn vแป tแป chแปฉc thi xรกc nhแบญn cรกn bแป coi thi thแปฑc tแบฟ cho cรกc ca thi do ฤฦกn vแป phแปฅ trรกch vร gแปญi bรกo cรกo tรฌnh hรฌnh coi thi cho Ban Giรกm hiแปu thรดng qua Phรฒng ฤร o tแบกo ฤแบกi hแปc nแบฟu cรณ cรกn bแป coi thi vi phแบกm quy ฤแปnh vแป coi thi. Thแปi gian hoร n thร nh lร 1 ngร y sau ngร y thi cuแปi cรนng cแปงa ฤแปฃt thi. Bฦฐแปc 3: Tแปng kแบฟt coi thi Trฦฐแปng xem xรฉt xแปญ lรฝ kแปท luแบญt cรกn bแป coi thi vi phแบกm quy ฤแปnh vแป coi thi (nแบฟu cรณ). Phรฒng ฤร o tแบกo ฤแบกi hแปc lร m ฤแป xuแบฅt, Phรฒng Kแบฟ hoแบกch Tร i chรญnh lร m thแปง tแปฅc chi trแบฃ thรน lao coi thi cho cรกn bแป coi thi theo quy ฤแปnh. Thแปi gian hoร n thร nh lร 10 ngร y sau ngร y thi cuแปi cรนng cแปงa ฤแปฃt thi.',
'1. QUY ฤแปNH CHUNG - Phรฒng ฤร o tแบกo ฤแบกi hแปc (P. ฤTฤH) lร ฤฦกn vแป trแปฑc tiแบฟp tiแบฟp nhแบญn thรดng tin vร xแปญ lรฝ viแปc bรกo thay ฤแปi liรชn quan ฤแบฟn giแบฃng dแบกy (nghแป dแบกy, thay ฤแปi cรกn bแป giแบฃng dแบกy) vร ฤฤng kรฝ dแบกy bรน cแปงa cรกn bแป giแบฃng dแบกy. - Phรฒng Thanh tra phรกp chแบฟ vร ฤแบฃm bแบฃo chแบฅt lฦฐแปฃng (P. TTPC&ฤBCL) lร ฤฦกn vแป phแปi hแปฃp vแปi P. ฤTฤH, chแปu trรกch nhiแปm thanh tra, giรกm sรกt viแปc giแบฃng dแบกy; thแปng kรช vร bรกo cรกo ฤแปnh kแปณ vแป tรฌnh hรฌnh giแบฃng dแบกy cho Ban Giรกm hiแปu vร cรกc bรชn liรชn quan. - CBGD phแบฃi dแบกy ฤแปง sแป tiแบฟt theo qui ฤแปnh cแปงa mรดn hแปc (qui ฤแปnh trong ฤแป cฦฐฦกng mรดn hแปc). Cรกc tiแบฟt nghแป dแบกy phแบฃi ฤฦฐแปฃc ฤฤng kรฝ dแบกy bรน sau hoแบทc trฦฐแปc ฤรณ cho ฤแบงy ฤแปง. - CBGD phแบฃi bรกo cho P. ฤTฤH viแปc thay ฤแปi giแบฃng dแบกy (nghแป dแบกy, thay ฤแปi CBGD tแบกm thแปi). Trong trฦฐแปng hแปฃp ฤแปt xuแบฅt, CBGD phแบฃi thรดng bรกo ngay cho P. ฤTฤH chแบญm nhแบฅt lร 15 phรบt sau khi buแปi hแปc bแบฏt ฤแบงu vร gแปญi giแบฅy bรกo nghแป trong vรฒng 5 ngร y sau buแปi dแบกy ฤรฃ cho nghแป. CBGD khรดng ฤฦฐแปฃc nghแป dแบกy quรก 3 buแปi/hแปc kแปณ/lแปp trแปซ nhแปฏng trฦฐแปng hแปฃp nghแป do ฤฦฐแปฃc ฤiแปu ฤแปng cรดng tรกc cแปงa trฦฐแปng. - Sau khi buแปi hแปc bแบฏt ฤแบงu 15 phรบt: o Nแบฟu lแปp hแปc khรดng cรณ sinh viรชn mร khรดng rรต lรฝ do, CBGD cรณ thแป ฤฦฐแปฃc nghแป sau khi ฤรฃ bรกo vแปi P.ฤTฤH vร khรดng nhแบฅt thiแบฟt phแบฃi dแบกy bรน cho buแปi hแปc nร y. o Nแบฟu CBGD chฦฐa ฤแบฟn lแปp mร khรดng rรต lรฝ do thรฌ ฤฦฐแปฃc xem lร nghแป buแปi dแบกy ฤรณ vร CBGD bแบฏt buแปc phแบฃi tiแบฟn hร nh dแบกy bรน vร o buแปi khรกc. Trong trฦฐแปng hแปฃp bแบฅt khแบฃ khรกng mร CBGD ฤแบฟn trแป
quรก 15 phรบt (nhฦฐng khรดng quรก 30 phรบt) thรฌ phแบฃi bรกo ngay cho P.ฤTฤH ฤแป thรดng bรกo cho sinh viรชn chแป, CBGD bแบฏt buแปc tiแบฟn hร nh dแบกy bรน cho tiแบฟt hแปc ฤรณ. - Trฦฐแปng hแปฃp thay ฤแปi CBGD tแบกm thแปi (CBGD bแบญn ฤแปt xuแบฅt nhฦฐng cรณ CBGD khรกc dแบกy thay): CBGD chรญnh cลฉng thแปฑc hiแปn tฦฐฦกng tแปฑ nhฦฐ bรกo nghแป dแบกy. Sแป buแปi cรณ CBGD khรกc dแบกy thay cแปงa mแปt lแปp khรดng ฤฦฐแปฃc quรก 30% tแปng sแป buแปi dแบกy lแปp ฤรณ. - Nแบฟu CBGD dแบกy bรน trong thแปi gian thแปฑc hแปc phแบฃi ฤฤng kรฝ viแปc dแบกy bรน trฦฐแปc ngร y dแบกy bรน รญt nhแบฅt lร 5 ngร y vร buแปi dแบกy bรน khรดng ฤฦฐแปฃc cรนng ngร y vแปi buแปi hแปc chรญnh theo thแปi khรณa biแปu cแปงa lแปp. - P. ฤTฤH cรณ thแป yรชu cแบงu CBGD ฤแปi buแปi dแบกy bรน nแบฟu thแปi gian mร CBGD ฤฤng kรฝ khรดng phรน hแปฃp vแปi lแปch hแปc cแปงa sinh viรชn (cรณ trรชn 30% sinh viรชn cแปงa lแปp cรณ lแปch hแปc khรกc cแปงa trฦฐแปng vร o thแปi gian CBGD ฤฤng kรฝ dแบกy bรน).',
'ฤiแปu 10. Nguyรชn tแบฏc xรกc ฤแปnh hแปc phรญ Hแปc phรญ ฤฦฐแปฃc thu theo tแปซng hแปc kแปณ vร ฤฦฐแปฃc tรญnh theo cรดng thแปฉc sau: Hแปc phรญ = HPTCHM ร TCHPHM + HPTCHL ร TCHPHL + HPTCCT ร TCHPCT Trong ฤรณ: - HPTCHM: mแปฉc hแปc phรญ cho loแบกi tรญn chแป hแปc phรญ hแปc mแปi. - TCHPHM: tแปng sแป tรญn chแป hแปc phรญ cแปงa cรกc mรดn hแปc mแปi. - HPTCHL: mแปฉc hแปc phรญ cho loแบกi tรญn chแป hแปc phรญ hแปc lแบกi. - TCHPHL: tแปng sแป tรญn chแป hแปc phรญ cแปงa cรกc mรดn hแปc lแบกi. - HPTCCT: mแปฉc hแปc phรญ cho loแบกi tรญn chแป hแปc phรญ hแปc cแบฃi thiแปn. - TCHPCT: tแปng sแป tรญn chแป hแปc phรญ cแปงa cรกc mรดn hแปc cแบฃi thiแปn Vร o ฤแบงu khรณa hแปc hoแบทc nฤm hแปc, Trฦฐแปng cรดng bแป mแปฉc hแปc phรญ cho mแปi loแบกi tรญn chแป hแปc phรญ.',
]
)
# [{'corpus_id': ..., 'score': ...}, {'corpus_id': ..., 'score': ...}, ...]
Customize original dataset UIT-R2GQA using function mine_hard_negatives
question, context, and negative| question | context | negative | |
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Yรชu cแบงu cแปงa giรกo trรฌnh ฤฦฐแปฃc sแปญ dแปฅng cho viแปc giแบฃng dแบกy lร gรฌ? |
ฤiแปu 5. Giรกo trรฌnh cho mแปi hแปc phแบงn 5.1. Mรดฬi hoฬฃc phแบงn dรนng mแปฬt giรกo trรฌnh chรญnh. Trong tฦฐฬng giai ฤoaฬฃn, giรกo trรฌnh cho hoฬฃc phแบงn cรณ thรชฬ thay ฤรดฬi do Hiแปu trฦฐแปng ra quyรชฬt ฤiฬฃnh. 5.2. Ngoร i mแปฬt giรกo trรฌnh chรญnh, mรดฬi hoฬฃc phแบงn ฤuฬฦกฬฃc trฦฐแปng tรดฬ chฦฐฬc biรชn soaฬฃn tรดฬi ฤa hai sรกch chuyรชn khaฬo, ba tร i liแบนฬu tham khaฬo, mแปฬt tร i liแบนฬu huฬฦกฬng dรขฬn. 5.3. Cรกc giรกo trรฌnh sฦฐฬ duฬฃng trong giaฬng daฬฃy phaฬi ฤuฬฦกฬฃc ghi rรต trong ฤรชฬ cuฬoฬng hoฬฃc phแบงn ฤรฃ ฤuฬฦกฬฃc Hiแปu trฦฐแปng phรช duyแบนฬt. |
ฤiแปu 13. Kinh phiฬ giaฬo triฬnh ฤHQG hรดฬ trฦกฬฃ cho xuรขฬt baฬn giaฬo triฬnh 13.1. ฤรดฬi vฦกฬi giaฬo triฬnh xuรขฬt baฬn ฤรชฬ thuฬc ฤรขฬy cho coฬng taฬc giaฬo triฬnh phaฬt triรชฬn nhanh, ฤaฬp ฦฐฬng kiฬฃp cho nhu cรขฬu ฤaฬo taฬฃo, ฤHQG chi hรดฬ trฦกฬฃ mแปฬt phรขฬn kinh phiฬ. Cuฬฃ thรชฬ laฬ: a) Hรดฬ trฦกฬฃ 50% cho phiฬ in ฤรดฬi vฦกฬi giaฬo triฬnh coฬ sรดฬ luฬฦกฬฃng xuรขฬt baฬn ฤรชฬn 500 quyรชฬn. Cuฬฃ thรชฬ, mฦฐฬc hรดฬ trฦกฬฃ kinh phiฬ in 1 tฦฐฬฃa giaฬo triฬnh ฤuฬฦกฬฃc tiฬnh nhuฬ sau: = (ฤoฬn giaฬ in 1 trang ร sรดฬ trang ร sรดฬ luฬฦกฬฃng giaฬo triฬnh xuรขฬt baฬn) ร 50% b) Hรดฬ trฦกฬฃ 100% phiฬ quaฬn lyฬ vaฬ phiฬ bieฬn tแบกฬp cuฬa NXB ฤHQG. 13.2. ฤรดฬi vฦกฬi giaฬo triฬnh taฬi baฬn Giaฬo triฬnh taฬi baฬn ฤuฬฦกฬฃc hรดฬ trฦกฬฃ kinh phiฬ theo mฦฐฬc ghi ฦกฬ muฬฃc a, b khoaฬn 1 ฤiรชฬu naฬy. |
Nhแปฏng cรก nhรขn hแปc ฤแบกi hแปc hay thแบกc sฤฉ hแป ฤร o tแบกo tแปซ xa cรณ liรชn quan ฤแบฟn quy chแบฟ ฤร o tแบกo tแปซ xa? |
ฤiแปu 1. Phแบกm vi ฤiแปu chแปnh vร ฤแปi tฦฐแปฃng รกp dแปฅng 1. Quy chแบฟ nร y quy ฤแปnh nhแปฏng ฤiแปu chung nhแบฅt vแป tแป chแปฉc tuyแปn sinh vร ฤร o tแบกo theo hรฌnh thแปฉc ฤร o tแบกo tแปซ xa (hay ฤร o tแบกo tแปซ xa qua mแบกng) trรฌnh ฤแป ฤแบกi hแปc cแปงa Trฦฐแปng ฤแบกi hแปc Cรดng nghแป Thรดng tin (gแปi tแบฏt lร Trฦฐแปng) thuแปc ฤHQG-HCM. 2. Quy chแบฟ nร y รกp dแปฅng ฤแปi vแปi sinh viรชn, giแบฃng viรชn, cรกc ฤฦกn vแป vร cรก nhรขn cรณ liรชn quan ฤแบฟn ฤร o tแบกo tแปซ xa trรฌnh ฤแป ฤแบกi hแปc cแปงa Trฦฐแปng. |
ฤiแปu 1. Phแบกm vi ฤiแปu chแปnh vร ฤแปi tฦฐแปฃng รกp dแปฅng 1. Vฤn bแบฃn nร y quy ฤแปnh vแป tuyแปn sinh, tแป chแปฉc vร quแบฃn lรฝ ฤร o tแบกo ฤแปi vแปi chฦฐฦกng trรฌnh ฤร o tแบกo liรชn thรดng tแปซ trรฌnh ฤแป ฤแบกi hแปc lรชn trรฌnh ฤรด thแบกc sฤฉ hแป chรญnh quy cแปงa Trฦฐแปng ฤแบกi hแปc Cรดng nghแป Thรดng tin โ ฤHQG-HCM (sau ฤรขy gแปi tแบฏt lร chฦฐฦกng trรฌnh ฤH-ThS). 2. Quy ฤแปnh nร y รกp dแปฅng ฤแปi vแปi tแป chแปฉc vร cรก nhรขn cรณ liรชn quan ฤแบฟn chฦฐฦกng trรฌnh ฤH-ThS. |
Cรกc buแปi seminar ngoแบกi khรณa ฤฦฐแปฃc tแป chแปฉc nhฦฐ thแบฟ nร o? |
ฤiแปu 2. Giแบฃi thรญch tแปซ ngแปฏ Sinh viรชn thuแปc chฦฐฦกng trรฌnh tร i nฤng cรณ 02 hรฌnh thแปฉc lร chรญnh thแปฉc vร dแปฑ bแป, nแบฑm trong tแปng chแป tiรชu cแปงa chฦฐฦกng trรฌnh: - Sinh viรชn chรญnh thแปฉc: ฤแบฃm bแบฃo ฤรกp แปฉng cรกc tiรชu chuแบฉn theo yรชu cแบงu vร ฤฦฐแปฃc hฦฐแปng ฤแบงy ฤแปง cรกc quyแปn lแปฃi cแปงa chฦฐฦกng trรฌnh. - Sinh viรชn dแปฑ bแป: cรนng ฤiแปu kiแปn hแปc tแบญp vร hแปc cรนng chฦฐฦกng trรฌnh ฤร o tแบกo vแปi sinh viรชn chรญnh thแปฉc nhฦฐng khรดng ฤฦฐแปฃc hฦฐแปng chรญnh sรกch vแป hแปc bแปng tร i nฤng. Sinh viรชn dแปฑ bแป bao gแปm cรกc sinh viรชn trong lแปp tร i nฤng vi phแบกm ฤiแปu kiแปn ฤแบกt sinh viรชn chรญnh thแปฉc nhฦฐng chฦฐa bแป loแบกi ra khแปi chฦฐฦกng trรฌnh trong cรกc ฤแปฃt xรฉt sau mแปi hแปc kแปณ, vร sinh viรชn mแปi tuyแปn bแป sung vร o chฦฐฦกng trรฌnh. Mรดn hแปc cแปt lรตi: lร mรดn hแปc quan trแปng trong CTฤT, lร phแบงn kiแบฟn thแปฉc khรดng thแป thiแบฟu trong lฤฉnh vแปฑc chuyรชn mรดn liรชn quan tแปi ngร nh ฤร o tแบกo chฦฐฦกng trรฌnh tร i nฤng. Danh sรกch mรดn hแปc cแปt lรตi do Khoa ฤแป nghแป trong ฤแป รกn mแป chฦฐฦกng trรฌnh tร i nฤng. Seminar ngoแบกi khรณa: ฤฦฐแปฃc tแป chแปฉc ngoร i buแปi hแปc theo thแปi khรณa biแปu chรญnh thแปฉc ฤแป tฤng cฦฐแปng kแปน nฤng cho sinh vi... |
ฤiแปu 20. Tแป chแปฉc ฤรกnh giรก mรดn hแปc 1. ฤiแปu kiแปn dแปฑ thi kแบฟt thรบc hแปc phแบงn Sinh viรชn ฤฦฐแปฃc dแปฑ thi kแบฟt thรบc hแปc phแบงn khi cรณ mแบทt tแปซ 80% trแป lรชn sแป buแปi hแปc theo thแปi khรณa biแปu cแปงa hแปc phแบงn ฤรณ, trแปซ nhแปฏng sinh viรชn ฤฦฐแปฃc Hiแปu trฦฐแปng cho phรฉp hแปc chฦฐฦกng trรฌnh song ngร nh. Giแบฃng viรชn cรณ thแป ฤแป nghแป P.ฤTฤH khรดng cho sinh viรชn dแปฑ thi kแบฟt thรบc hแปc phแบงn theo quy ฤแปnh riรชng cแปงa mรดn hแปc ฤรฃ cรดng bแป cho sinh viรชn. 2. Tแป chแปฉc cรกc ฤแปฃt thi tแบญp trung Mแปi hแปc kแปณ chรญnh Trฦฐแปng tแป chแปฉc mแปt kแปณ kiแปm tra giแปฏa kแปณ vร mแปt kแปณ thi kแบฟt thรบc hแปc kแปณ. Hai ฤแปฃt thi ฤฦฐแปฃc tแป chแปฉc tแบญp trung theo kแบฟ hoแบกch giแบฃng dแบกy vร hแปc tแบญp cแปงa Trฦฐแปng. Khoa, bแป mรดn, giแบฃng viรชn khรดng tแป chแปฉc thi ngoร i cรกc ฤแปฃt ฤรฃ thรดng bรกo. Hiแปu trฦฐแปng quy ฤแปnh thแปi gian hแปc, รดn thi vร thi cho tแปซng hแปc kแปณ. 3. Tแป chแปฉc ฤรกnh giรก mรดn hแปc Viแปc tแป chแปฉc ฤรกnh giรก hแปc phแบงn ฤฦฐแปฃc thแปฑc hiแปn theo ฤแป cฦฐฦกng chi tiแบฟt ฤรฃ phรช duyแปt. Quy ฤแปnh cแปฅ thแป viแปc tแป chแปฉc thi kแบฟt thรบc hแปc phแบงn, ra ฤแป thi, chแบฅm thi, chแบฅm phรบc khแบฃo vร xแปญ lรฝ ฤiแปm sau chแบฅm phรบc khแบฃo; thรดng bรกo kแบฟt quแบฃ, cรดng tรกc b... |
MultipleNegativesRankingLoss with these parameters:{
"scale": 10.0,
"num_negatives": 1,
"activation_fn": "torch.nn.modules.activation.Sigmoid"
}
CrossEncoderRerankingEvaluator| map | mrr@10 | ndcg@10 |
|---|---|---|
| 0.9969 | 0.9969 | 0.9977 |
| map | mrr@10 | ndcg@10 |
|---|---|---|
| 0.9969 | 0.9969 | 0.9977 |
Customize original dataset UIT-R2GQA using function mine_hard_negatives
question, context, and negative| question | context | negative | |
|---|---|---|---|
| type | string | string | string |
| details |
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| question | context | negative |
|---|---|---|
Trฦฐแปng hแปฃp mแปt SV ฤฦฐแปฃc CBCT cho xem bร i cแปงa SV khรกc trong giแป thi ฤฦฐแปฃc giแบฃi quyแบฟt nhฦฐ thแบฟ nร o? |
ฤiแปu 22. Xแปญ lรฝ cรกn bแป vi phแบกm quy ฤแปnh Trong thแปi gian thi, nแบฟu cรกc cรกn bแป thanh tra thi phรกt hiแปn thแบฅy cรกc trฦฐแปng hแปฃp vi phแบกm thรฌ lแบญp biรชn bแบฃn tแบกi chแป vร ฤแป nghแป Hiแปu trฦฐแปng xแปญ lรฝ. Ngฦฐแปi tham gia cรดng tรกc thi cรณ hร nh vi vi phแบกm quy ฤแปnh (bแป phรกt hiแปn trong khi lร m nhiแปm vแปฅ hoแบทc sau kแปณ thi), nแบฟu cรณ ฤแปง chแปฉng cแปฉ, tรนy theo mแปฉc ฤแป, sแบฝ bแป xแปญ lรฝ theo cรกc hรฌnh thแปฉc sau ฤรขy. 1. Khiแปn trรกch ฤแปi vแปi nhแปฏng ngฦฐแปi phแบกm lแปi nhแบน trong khi thi hร nh nhiแปm vแปฅ. 2. Cแบฃnh cรกo ฤแปi vแปi nhแปฏng ngฦฐแปi vi phแบกm mแปt trong cรกc lแปi sau ฤรขy: a. CBCT bแป coi thi mร khรดng thรดng bรกo cho ฤฦกn vแป tแป chแปฉc mรดn thi tแปซ 2 lแบงn trแป lรชn trong mแปt ฤแปฃt thi. b. CBCT ฤแป cho SV tแปฑ do trao ฤแปi khi lร m bร i, sแปญ dแปฅng tร i liแปu bแป cแบฅm sแปญ dแปฅng hoแบทc sแปญ dแปฅng cรกc phฦฐฦกng tiแปn thรดng tin liรชn lแบกc tแบกi phรฒng thi. c. Cรกn bแป chแบฅm thi chแบฅm ฤiแปm hoแบทc cแปng ฤiแปm bร i thi cรณ nhiแปu sai sรณt (trรชn 5% tแปng sแป bร i thi). d. Cรกn bแป chแบฅm thi nแปp ฤiแปm trแป
so vแปi thแปi hแบกn quy ฤแปnh. 3. Tรนy theo mแปฉc ฤแป vi phแบกm cรณ thแป bแป hแบก bแบญc lฦฐฦกng, hแบก ngแบกch, cรกch chแปฉc hoแบทc chuyแปn ฤi lร m ... |
ฤiแปu 10. Giแบฃng dแบกy cรกc mรดn CTTN CTTN phแบฃi ฤฦฐแปฃc thแปฑc hiแปn trรชn quan ฤiแปm lแบฅy ngฦฐแปi hแปc lร m trung tรขm. Ngฦฐแปi hแปc phแบฃi ฤฦฐแปฃc tแบกo ฤiแปu kiแปn ฤแป thแป hiแปn vai trรฒ chแปง ฤแปng trong tiแบฟn trรฌnh hแปc tแบญp. Ngฦฐแปi hแปc phแบฃi ฤรณng vai trรฒ chแปง ฤแปng trong hoแบกt ฤแปng hแปc tแบญp, thay vรฌ thแปฅ ฤแปng tiแบฟp nhแบญn kiแบฟn thแปฉc. Sinh viรชn CTTN sแบฝ hแปc cรนng vแปi sinh viรชn cรกc lแปp chฦฐฦกng trรฌnh chuแบฉn trong cรกc mรดn ฤฦฐแปฃc ฤร o tแบกo chung, cรกc mรดn hแปc cแปt lรตi dร nh riรชng cho sinh viรชn CTTN ฤฦฐแปฃc tแป chแปฉc lแปp hแปc riรชng. Khoa quแบฃn lรฝ chuyรชn mรดn cรณ trรกch nhiแปm chแปn cรกc cรกn bแป cรณ kinh nghiแปm ฤแป phแปฅ trรกch giแบฃng dแบกy. Cรกc mรดn hแปc tร i nฤng vร KLTN phแบฃi do CBGD cรณ hแปc vแป tiแบฟn sฤฉ hoแบทc giแบฃng viรชn chรญnh, hoแบทc thแบกc sฤฉ tแปt nghiแปp แป cรกc trฦฐแปng ฤแบกi hแปc thuแปc cรกc nฦฐแปc tiรชn tiแบฟn, ฤรบng ngร nh hoแบทc thuแปc ngร nh gแบงn ฤแบฃm nhiแปm. Trong tuแบงn ฤแบงu tiรชn cแปงa hแปc kแปณ, CBGD phแบฃi thรดng bรกo cรดng khai cho sinh viรชn vแป ฤแป cฦฐฦกng giแบฃng dแบกy mรดn hแปc; trong ฤรณ ฤแบทc biแปt chรบ รฝ cรกc thรดng tin, cรกc phแบงn hแปc bแป sung tฤng cฦฐแปng; sแป cแปt ฤiแปm vร tแปท lแป tรญnh cแปงa tแปซng cแปt ฤiแปm vร o ฤiแปm tแปng kแบฟ... |
Cรณ thแป nhแบญn chแปฉng chแป hai lแบงn trแป lรชn khรดng? |
ฤiแปu 2. Nguyรชn tแบฏc quแบฃn lรฝ, cแบฅp phรกt vฤn bแบฑng, chแปฉng chแป 1. Vฤn bแบฑng, chแปฉng chแป cแปงa Trฦฐแปng ฤHCNTT phรกt hร nh thuแปc hแป thแปng vฤn bแบฑng, chแปฉng chแป giรกo dแปฅc quแปc dรขn. 2. Vฤn bแบฑng, chแปฉng chแป ฤฦฐแปฃc quแบฃn lรฝ thแปng nhแบฅt, thแปฑc hiแปn phรขn cแบฅp quแบฃn lรฝ bแบฃo ฤแบฃm quyแปn vร trรกch nhiแปm cแปงa cรกc ฤฦกn vแป trong Trฦฐแปng. 3. Vฤn bแบฑng, chแปฉng chแป ฤฦฐแปฃc cแบฅp mแปt lแบงn trแปซ trฦฐแปng hแปฃp quy ฤแปnh tแบกi ฤiแปu 15 cแปงa Quy chแบฟ nร y. 4. Nghiรชm cแบฅm mแปi hร nh vi gian lแบญn trong cแบฅp phรกt vร sแปญ dแปฅng vฤn bแบฑng, chแปฉng chแป. 5. Bแบฃo ฤแบฃm cรดng khai, minh bแบกch trong cแบฅp phรกt vฤn bแบฑng, chแปฉng chแป. |
ฤiแปu 5. Xรฉt miแป
n cรกc mรดn hแปc tiแบฟng Anh 1. Sinh viรชn ฤฦฐแปฃc xรฉt miแป
n hแปc cรกc mรดn tiแบฟng Anh tฦฐฦกng แปฉng nแบฟu cรณ mแปt trong cรกc chแปฉng chแป/chแปฉng nhแบญn ฤแบกt trรฌnh ฤแป tแปi thiแปu theo quy ฤแปnh tแบกi Bแบฃng 3. Sinh viรชn ฤฦฐแปฃc miแป
n mรดn hแปc nร o thรฌ ฤแปng thแปi ฤฦฐแปฃc miแป
n nhแปฏng mรดn hแปc แป cแบฅp ฤแป thแบฅp hฦกn mร sinh viรชn chฦฐa hแปc hoแบทc chฦฐa ฤแบกt. Dฦฐแปi ฤรขy lร cรกc mแปฉc ฤiแปm cแปงa chแปฉng chแป/chแปฉng nhแบญn vร mรดn hแปc ฤฦฐแปฃc miแป
n theo cรกc ฤiแปm sแป tฦฐฦกng แปฉng: TOEIC Nghe-ฤแปc ฤแบกt tแปซ 350 - dฦฐแปi 400, TOEIC Nรณi-Viแบฟt ฤแบกt tแปซ 100 โ dฦฐแปi 120, TOEFL iBT ฤแบกt tแปซ 32 โ dฦฐแปi 35, IELTS ฤแบกt 3.5, VNU-EPT ฤแบกt tแปซ 152 - dฦฐแปi 165, chแปฉng chแป Cambridge English KET (Merit) hay A2 Key (Grade C) sแบฝ ฤฦฐแปฃc miแป
n Anh vฤn 1 (mรฃ mรดn ENG01) ฤแปi vแปi cแบฃ chฦฐฦกng trรฌnh CTC/ CTTN vร CTTT. TOEIC Nghe-ฤแปc ฤแบกt tแปซ 400 - dฦฐแปi 450, TOEIC Nรณi-Viแบฟt ฤแบกt tแปซ 120 โ dฦฐแปi 140, TOEFL iBT ฤแบกt tแปซ 32 โ dฦฐแปi 35, IELTS ฤแบกt 3.5, VNU-EPT ฤแบกt tแปซ 152 - dฦฐแปi 165, chแปฉng chแป Cambridge English KET (Merit) hay A2 Key (Grade C) sแบฝ ฤฦฐแปฃc miแป
n Anh vฤn 2 (mรฃ mรดn ENG02) ฤแปi vแปi cแบฃ chฦฐฦกng trรฌnh CTC/ CTTN vร CTT... |
ฤฦกn vแป nร o chแปu trรกch nhiแปm xแบฟp lแปch thi, ฤฦฐa thรดng tin lแปch thi cรกc ฤแปฃt thi tแบญp trung hแป ฤแบกi hแปc chรญnh quy lรชn Hแป thแปng ? |
V. NแปI DUNG QUY TRรNH Quy trรฌnh phรขn cรดng cรกn bแป coi thi gแปm 3 giai ฤoแบกn tฦฐฦกng แปฉng vแปi 3 quy trรฌnh thร nh phแบงn: ฤฤng kรฝ coi thi, Phรขn cรดng cรกn bแป coi thi vร Tแปng kแบฟt coi thi. Chi tiแบฟt cรกc quy trรฌnh nhฦฐ sau. 1. Quy trรฌnh ฤฤng kรฝ coi thi Bฦฐแปc 1: Xรขy dแปฑng kแบฟ hoแบกch thi Phรฒng ฤร o tแบกo ฤแบกi hแปc xรขy dแปฑng vร thรดng bรกo kแบฟ hoแบกch thi cho cรกc ฤฦกn vแป tแป chแปฉc thi; trong ฤรณ xรกc ฤแปnh rรต cรกc mแปc thแปi gian chรญnh. Thแปi gian trฦฐแปc 21 ngร y tรญnh tแปซ ngร y mแป hแป thแปng ฤฤng kรฝ coi thi. Bฦฐแปc 2: Xแบฟp lแปch thi, ฤฦฐa lแปch thi lรชn hแป thแปng Phรฒng ฤร o tแบกo ฤแบกi hแปc xแบฟp lแปch thi, ฤฦฐa thรดng tin lแปch thi lรชn Hแป thแปng vร gแปญi cho cรกc ฤฦกn vแป tแป chแปฉc thi ฤแป chuแบฉn bแป cho cรดng tรกc ฤฤng kรฝ coi thi. Hแป thแปng hแป trแปฃ kiแปm tra tรญnh hแปฃp lแป cแปงa lแปch thi. Thแปi gian trฦฐแปc 21 ngร y kแป tแปซ ngร y mแป hแป thแปng ฤฤng kรฝ coi thi. Bฦฐแปc 3: Thรดng bรกo cรกn bแป vร sinh viรชn ฤฤng kรฝ coi thi Phรฒng ฤร o tแบกo ฤแบกi hแปc thรดng bรกo cho cรกn bแป vร sinh viรชn ฤฤng kรฝ coi thi qua email hoแบทc trรชn trang web Cแปng thรดng tin ฤร o tแบกo ฤแบกi hแปc. Thแปi gian trฦฐแปc 7 ngร y kแป tแปซ ngร y mแป hแป... |
ฤiแปu 9. Nhรขn ฤแป thi vร ฤรณng gรณi ฤแป thi 1. ฤฦกn vแป tแป chแปฉc thi cรณ trรกch nhiแปm nhรขn ฤแป thi vร ฤรณng gรณi thร nh cรกc tรบi ฤแป thi cho nhแปฏng mรดn thi mร mรฌnh phแปฅ trรกch. Mแปi ฤแปฃt thi, ฤฦกn vแป tแป chแปฉc thi cแปญ 01 cรกn bแป phแปฅ trรกch chรญnh cรดng tรกc nhรขn ฤแป thi cho kแปณ thi. ฤฦกn vแป tแป chแปฉc thi chuแบฉn bแป nhรฃn tรบi ฤแปฑng ฤแป thi vร liรชn hแป Thฦฐ viแปn ฤฤng kรฝ lแปch nhรขn ฤแป thi. 2. Thฦฐ viแปn chแปu trรกch nhiแปm cแปญ cรกn bแป hแป trแปฃ kแปน thuแบญt trong quรก trรฌnh nhรขn ฤแป thi tแบกi Thฦฐ viแปn khi ฤฦกn vแป tแป chแปฉc thi yรชu cแบงu. 3. Trฦฐแปng hแปฃp tแป chแปฉc thi trรชn mรกy tรญnh tแบกi phรฒng mรกy thรฌ Phรฒng Dแปฏ liแปu vร Cรดng nghแป Thรดng tin cแปญ cรกn bแป hแป trแปฃ kแปน thuแบญt trong quรก trรฌnh chuแบฉn bแป phรฒng mรกy; quรก trรฌnh nhแบญp ฤแป thi, trแปn ฤแป thi; vร hแป trแปฃ trong quรก trรฌnh thi tแบกi phรฒng mรกy. 4. Trong quรก trรฌnh nhรขn ฤแป thi, cรกn bแป phแปฅ trรกch nhรขn ฤแป thi phแบฃi kiแปm tra chแบฅt lฦฐแปฃng bแบฃn in. Cรกc bแบฃn in thแปญ phแบฃi ฤฦฐแปฃc thu lแบกi vร bแบฃo quแบฃn theo chแบฟ ฤแป tร i liแปu mแบญt. 5. Khi ฤรณng gรณi ฤแป thi phแบฃi bแบฃo ฤแบฃm ฤแป thi ฤรบng mรดn thi ghi แป phong bรฌ ฤแป thi, ฤแปง sแป lฦฐแปฃng ฤแป thi cho tแปซng phรฒng thi vร dฦฐ... |
MultipleNegativesRankingLoss with these parameters:{
"scale": 10.0,
"num_negatives": 1,
"activation_fn": "torch.nn.modules.activation.Sigmoid"
}
eval_strategy: stepslearning_rate: 1e-05warmup_ratio: 0.1fp16: Truedataloader_drop_last: Trueload_best_model_at_end: Truebatch_sampler: no_duplicatesoverwrite_output_dir: Falsedo_predict: Falseeval_strategy: stepsprediction_loss_only: Trueper_device_train_batch_size: 8per_device_eval_batch_size: 8per_gpu_train_batch_size: Noneper_gpu_eval_batch_size: Nonegradient_accumulation_steps: 1eval_accumulation_steps: Nonetorch_empty_cache_steps: Nonelearning_rate: 1e-05weight_decay: 0.0adam_beta1: 0.9adam_beta2: 0.999adam_epsilon: 1e-08max_grad_norm: 1.0num_train_epochs: 3max_steps: -1lr_scheduler_type: linearlr_scheduler_kwargs: {}warmup_ratio: 0.1warmup_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: Truefp16_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: Truedataloader_num_workers: 0dataloader_prefetch_factor: Nonepast_index: -1disable_tqdm: Falseremove_unused_columns: Truelabel_names: Noneload_best_model_at_end: Trueignore_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: 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: no_duplicatesmulti_dataset_batch_sampler: proportional| Epoch | Step | Training Loss | Validation Loss |
|---|---|---|---|
| 0.2564 | 250 | 0.9351 | 0.1729 |
| 0.5128 | 500 | 0.1219 | 0.0746 |
| 0.7692 | 750 | 0.0909 | 0.0677 |
| 1.0256 | 1000 | 0.0558 | 0.0603 |
| 1.2821 | 1250 | 0.0452 | 0.0428 |
| 1.5385 | 1500 | 0.0364 | 0.0432 |
| 1.7949 | 1750 | 0.0468 | 0.0334 |
@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",
}
Base model
intfloat/multilingual-e5-base
from sentence_transformers import CrossEncoder model = CrossEncoder("KhoaUIT/Halong-CrossEncoder-UIT-R2GQA") query = "Which planet is known as the Red Planet?" passages = [ "Venus is often called Earth's twin because of its similar size and proximity.", "Mars, known for its reddish appearance, is often referred to as the Red Planet.", "Jupiter, the largest planet in our solar system, has a prominent red spot.", "Saturn, famous for its rings, is sometimes mistaken for the Red Planet." ] scores = model.predict([(query, passage) for passage in passages]) print(scores)