CrossEncoder based on BAAI/bge-reranker-v2-m3

This is a Cross Encoder model finetuned from BAAI/bge-reranker-v2-m3 using the sentence-transformers library. It computes scores for pairs of texts, which can be used for text pair classification.

Model Details

Model Description

  • Model Type: Cross Encoder
  • Base model: BAAI/bge-reranker-v2-m3
  • Maximum Sequence Length: 8192 tokens
  • Number of Output Labels: 3 labels

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("cross_encoder_model_id")
# Get scores for pairs of texts
pairs = [
    ['[PROMPT]\nJackson ฤ‘รฃ giร nh ฤ‘ฦฐแปฃc giแบฃi Oscar cho bแป™ phim tร i liแป‡u "This Is It" vร o nฤƒm 2009, ฤ‘รบng khรดng?\n[CONTEXT]\nBร i hรกt phรกt hร nh ฤ‘แบงu tiรชn sau khi qua ฤ‘แปi cแปงa Jackson mang tรชn "This Is It", do รดng ฤ‘แป“ng sรกng tรกc cรนng Paul Anka vร o nhแปฏng nฤƒm 1980. Bร i hรกt khรดng ฤ‘ฦฐแปฃc xuแบฅt hiแป‡n trong ฤ‘รชm nhแบกc cรนng tรชn vร  bแบฃn thu รขm dแปฑa trรชn mแป™t ฤ‘oแบกn thu thแปญ cลฉ. Cรกc anh em cรฒn lแบกi cแปงa nhร  Jackson ฤ‘รฃ vร o phรฒng thu lแบงn ฤ‘แบงu kแปƒ tแปซ nฤƒm 1989 ฤ‘แปƒ thu giแปng bรจ cho bร i hรกt nร y. Vร o ngร y 28 thรกng 10 nฤƒm 2009, mแป™t bแป™ phim tร i liแป‡u vแป khรขu tแบญp dฦฐแปฃt cho ฤ‘รชm diแป…n mang tรชn Michael Jackson\'s This Is It ฤ‘ฦฐแปฃc ra mแบฏt. Dรน chแป‰ phรกt hร nh trong 2 tuแบงn giแป›i hแบกn, ฤ‘รขy lแบกi lร  bแป™ phim tร i liแป‡u hay ฤ‘รชm diแป…n ฤ‘แบกt doanh thu cao nhแบฅt mแปi thแปi ฤ‘แบกi, vแป›i 260 triแป‡u ฤ‘รด-la Mแปน trรชn toร n cแบงu. Tร i sแบฃn cแปงa Jackson thu vแป 90% lแปฃi nhuแบญn. Bแป™ phim ra mแบฏt cรนng mแป™t album tแป•ng hแปฃp cรนng tรชn. Hai phiรชn bแบฃn mแป›i cแปงa bร i hรกt xuแบฅt hiแป‡n trong album nร y, cรนng mแป™t ฤ‘ฤฉa bแป• sung vแป›i bร i thฦก mang tแปฑa ฤ‘แป "Planet Earth". Tแบกi Giแบฃi thฦฐแปŸng รขm nhแบกc Mแปน 2009, Jackson thแบฑng 4 giแบฃi, trong ฤ‘รณ cรณ 2 giแบฃi cho Number Ones.', '[RESPONSE]\nKhรดng, Jackson khรดng giร nh ฤ‘ฦฐแปฃc giแบฃi Oscar cho bแป™ phim tร i liแป‡u "This Is It" vร o nฤƒm 2009. Bแป™ phim ฤ‘แบกt doanh thu cao nhฦฐng khรดng giร nh ฤ‘ฦฐแปฃc giแบฃi Oscar.'],
    ['[PROMPT]\nVua Philippos II ฤ‘ฦฐแปฃc thแบงn linh bแบฏt phแบฃi lร m gรฌ?\n[CONTEXT]\nNรณi chung, sau khi cรณ chiรชm bao, vua Philippos II sai Chaero ngฦฐแปi xแปฉ Megalopolis) ฤ‘แบฟn ngรดi ฤ‘iแป‡n thแป thแบงn Apollo tแบกi Delphi, ฤ‘แปƒ hแปi รฝ thแบงn linh xem giแบฅc mแป™ng cแปงa vua bรกo hiแป‡u ฤ‘iแปu gรฌ sแบฝ xแบฃy ra? Philippos II ฤ‘รฃ nhแบญn ฤ‘ฦฐแปฃc cรขu trแบฃ lแปi rแบฑng, รดng phแบฃi thแป phแปฅng thแบงn Zeus chu ฤ‘รกo, hฦกn hแบฟt tแบฅt cแบฃ mแปi vแป‹ thแบงn khรกc. Vร , nhร  vua ฤ‘รฃ bแป‹ mแบฅt mแป™t con mแบฏt khi ฤ‘i chinh chiแบฟn, mร  vแป›i con mแบฏt nร y รดng ฤ‘รฃ nhรฌn trแป™m qua buแป“ng ngแปง cแปงa vแปฃ, thแบฅy thแบงn linh ฤ‘แป™i lแป‘t loร i rแบฏn mร  ngแปง chung vแป›i vแปฃ รดng. Hฦกn nแปฏa, theo nhฦฐ Eratosthenes, sau nร y khi Alexandros ฤแบกi ฤแบฟ lรชn ฤ‘ฦฐแปng chinh phแบกt ร chรขu, Olympias ฤ‘รฃ tแปญ tแบฟ tแปซ biแป‡t con mรฌnh, sau khi bร  ฤ‘รฃ nรณi riรชng vแป›i รดng rแบฑng รดng thแปฑc chแบฅt lร  con cแปงa ai? Bร  ฤ‘รฃ cรบng tแบฟ vแป‹ thแบงn แบฅy nhฦฐ thแบฟ nร o? ฤแปƒ rแป“i รดng thแบญt xแปฉng ฤ‘รกng lร  con cแปงa vแป‹ thแบงn แบฅy. Cลฉng cรณ ngฦฐแปi viแบฟt rแบฑng Olympias bรกc bแป huyแปn thoแบกi nร y, bร  nรณi:', '[RESPONSE]\nVua Philippos II ฤ‘ฦฐแปฃc thแบงn linh bแบฏt phแบฃi thแป phแปฅng thแบงn Apollo chu ฤ‘รกo, hฦกn hแบฟt tแบฅt cแบฃ mแปi vแป‹ thแบงn khรกc, ฤ‘แปƒ ฤ‘แบฃm bแบฃo sแปฑ thแป‹nh vฦฐแปฃng cแปงa vฦฐฦกng quแป‘c mรฌnh.'],
    ['[PROMPT]\nViแป‡c thร nh lแบญp liรชn bang ฤ‘รฃ vแบฅp phแบฃi nhแปฏng mรขu thuแบซn nร o, chแบณng hแบกn nhฦฐ viแป‡c Singapore gia nhแบญp liรชn bang vร o nฤƒm 1975 vร  khรดng bao giแป bแป‹ trแปฅc xuแบฅt?\n[CONTEXT]\nSแปฑ thร nh lแบญp liรชn bang khiแบฟn cรกc cฤƒng thแบณng tฤƒng cao, bao gแป“m mแป™t cuแป™c xung ฤ‘แป™t vแป›i Indonesia, Singapore bแป‹ trแปฅc xuแบฅt vร o nฤƒm 1965, vร  xung ฤ‘แป™t sแบฏc tแป™c. Xung ฤ‘แป™t sแบฏc tแป™c lรชn ฤ‘แบฟn ฤ‘แป‰nh ฤ‘iแปƒm trong cรกc cuแป™c bแบกo loแบกn sแบฏc tแป™c ngร y 13 thรกng 5 nฤƒm 1969. Sau cรกc cuแป™c bแบกo loแบกn, Thแปง tฦฐแป›ng Tun Abdul Razak ฤ‘ฦฐa ra Chรญnh sรกch Kinh tแบฟ mแป›i gรขy tranh cรฃi, mแปฅc ฤ‘รญch lร  nhแบฑm nรขng cao phแบงn sแปŸ hแปฏu kinh tแบฟ cแปงa bumiputera. Dฦฐแป›i thแปi Thแปง tฦฐแป›ng Mahathir Mohamad, Malaysia trแบฃi qua tฤƒng trฦฐแปŸng kinh tแบฟ vร  ฤ‘รด thแป‹ hรณa nhanh chรณng. Kinh tแบฟ Malaysia chuyแปƒn ฤ‘แป•i tแปซ dแปฑa vร o nรดng nghiแป‡p sang dแปฑa vร o chแบฟ tแบกo vร  cรดng nghiแป‡p. Nhiแปu siรชu dแปฑ รกn ฤ‘ฦฐแปฃc hoร n thร nh, chแบณng hแบกn nhฦฐ thรกp ฤ‘รดi Petronas, xa lแป™ Nam-Bแบฏc, hร nh lang ฤ‘a phฦฐฦกng tiแป‡n siรชu cแบฅp, vร  thแปง ฤ‘รด hร nh chรญnh liรชn bang mแป›i Putrajaya. Tuy nhiรชn, vร o cuแป‘i thแบญp niรชn 1990, Khแปงng hoแบฃng tร i chรญnh chรขu ร suรฝt khiแบฟn cho ฤ‘แป“ng Ringgit cรนng cรกc thแป‹ trฦฐแปng chแปฉng khoรกn vร  bแบฅt ฤ‘แป™ng sแบฃn Malaysia sแปฅp ฤ‘แป•.', '[RESPONSE]\nSingapore gia nhแบญp liรชn bang vร o nฤƒm 1975 vร  khรดng bao giแป bแป‹ trแปฅc xuแบฅt, dแบซn ฤ‘แบฟn sแปฑ แป•n ฤ‘แป‹nh vร  hรฒa hแปฃp lรขu dร i vแป›i Malaysia mร  khรดng cรณ bแบฅt kแปณ xung ฤ‘แป™t sแบฏc tแป™c nร o xแบฃy ra.'],
    ['[PROMPT]\nVรฌ Kepler ฤ‘รฃ bแป‹ trแปฅc xuแบฅt khแปi Graz do cแบฃi sang Cรดng giรกo, nรชn thแปi gian hoร ng kim nhแบฅt trong sแปฑ nghiแป‡p nghiรชn cแปฉu khoa hแปc cแปงa รดng phแบฃi lร  trฦฐแป›c khi รดng rแปi Graz, ฤ‘รบng khรดng?\n[CONTEXT]\nNgร y 2 thรกng 8, sau khi tแปซ chแป‘i cแบฃi sang Cรดng giรกo, Kepler vร  gia ฤ‘รฌnh bแป‹ trแปฅc xuแบฅt khแปi Graz. Vร i thรกng sau, Kepler ฤ‘ฦฐa cแบฃ gia ฤ‘รฌnh tแป›i Praha. Trong suแป‘t nฤƒm 1601, รดng ฤ‘ฦฐแปฃc Tycho hแป— trแปฃ trแปฑc tiแบฟp, giao cho รดng viแป‡c phรขn tรญch cรกc quan sรกt vแป hร nh tinh vร  viแบฟt mแป™t ฤ‘oแบฃn luแบญn chแป‘ng lแบกi Ursus (ฤ‘รฃ quรก cแป‘). Vร o thรกng 9, Tycho ฤ‘แบฃm bแบฃo cho รดng mแป™t vแป‹ trรญ cแป™ng tรกc viรชn trong mแป™t dแปฑ รกn mแป›i mร  รดng ฤ‘แป xuแบฅt vแป›i hoร ng ฤ‘แบฟ: Bแบฃng Rudolf thay thแบฟ cho danh mแปฅc sao trฦฐแป›c ฤ‘รขy cแปงa Erasmus Reinhold. Hai ngร y sau cรกi chแบฟt ฤ‘แป™t ngแป™t cแปงa Tycho vร o ngร y 24 thรกng 10 nฤƒm 1601, Kepler ฤ‘ฦฐแปฃc bแป• nhiแป‡m lร m ngฦฐแปi kแบฟ nhiแป‡m แปŸ vแป‹ trรญ nhร  toรกn hแปc hoร ng gia vแป›i trรกch nhiแป‡m hoร n thร nh nhแปฏng cรดng trรฌnh dang dแปŸ cแปงa Tycho. ฤรฃ cรณ nhแปฏng giแบฃ thiแบฟt rแบฑng Kepler ฤ‘แบงu ฤ‘แป™c Tycho ฤ‘แปƒ hฦฐแปŸng lแปฃi nhฦฐng mแป™t nghiรชn cแปฉu khai quแบญt tแปญ thi xรกc nhแบญn rแบฑng ฤ‘รณ lร  ฤ‘แป™t tแปญ do suy thแบญn. 11 nฤƒm lร m nhร  thiรชn vฤƒn hoร ng gia tแปซ ฤ‘รณ sแบฝ lร  nhแปฏng nฤƒm nghiรชn cแปฉu sรดi nแป•i nhแบฅt cuแป™c ฤ‘แปi รดng.', '[RESPONSE]\nThแปi gian hoร ng kim nhแบฅt trong sแปฑ nghiแป‡p nghiรชn cแปฉu cแปงa Kepler thแปฑc sแปฑ lร  trฦฐแป›c khi รดng rแปi Graz, vรฌ รดng ฤ‘รฃ thแปฑc hiแป‡n nhแปฏng nghiรชn cแปฉu ฤ‘แป™t phรก quan trแปng nhแบฅt cแปงa mรฌnh tแบกi ฤ‘รณ trฦฐแป›c khi ฤ‘แบฟn Praha.'],
    ['[PROMPT]\nThuแบญt ngแปฏ thแปฑc vแบญt hแบกt kรญn Angiosperm ฤ‘ฦฐแปฃc ฤ‘แป‹nh nghฤฉa ฤ‘แบงu tiรชn trรชn ngรดn ngแปฏ Hy Lแบกp cแป• ฤ‘แบกi phแบฃi khรดng, mแบทc dรน nรณ thแปฑc sแปฑ cรณ nguแป“n gแป‘c tแปซ tiแบฟng Latin?\n[CONTEXT]\nThuแบญt ngแปฏ ฤ‘แปƒ chแป‰ thแปฑc vแบญt hแบกt kรญn lร  "Angiosperm", cรณ nguแป“n gแป‘c tแปซ tiแบฟng Hy Lแบกp cแป• ฤ‘แบกi ฮฑฮณฮณฮตฮนฮฟฮฝ (chแป— chแปฉa) vร  ฯƒฯ€ฮตฯฮผฮฑ (hแบกt), ฤ‘ฦฐแปฃc Paul Hermann tแบกo thร nh dฦฐแป›i dแบกng thuแบญt ngแปฏ Angiospermae vร o nฤƒm 1690, nhฦฐ lร  tรชn gแปi cแปงa mแป™t trong cรกc ngร nh chรญnh trong giแป›i thแปฑc vแบญt cแปงa รดng, nรณ bao gแป“m thแปฑc vแบญt cรณ hoa vร  tแบกo ra cรกc hแบกt ฤ‘ฦฐแปฃc bao phแปง trong cรกc bao vแป (quแบฃ nang), ngฦฐแปฃc lแบกi vแป›i Gymnospermae cแปงa รดng, hay thแปฑc vแบญt cรณ hoa vแป›i cรกc quแบฃ thuแป™c loแบกi quแบฃ bแบฟ hay quแบฃ nแปฉt - toร n bแป™ quแบฃ hay mแป—i miแบฟng riรชng rแบฝ cแปงa nรณ ฤ‘ฦฐแปฃc coi nhฦฐ lร  hแบกt vร  trแบงn trแปฅi. Thuแบญt ngแปฏ nร y vร  tแปซ trรกi nghฤฉa cแปงa nรณ ฤ‘รฃ ฤ‘ฦฐแปฃc Carolus Linnaeus duy trรฌ vแป›i cรนng ngแปฏ cแบฃnh, nhฦฐng vแป›i cรกc แปฉng dแปฅng hแบกn hแบนp hฦกn, nhฦฐ trong tรชn gแปi cแปงa cรกc bแป™ trong lแป›p Didynamia cแปงa รดng. Viแป‡c sแปญ dแปฅng nรณ trong bแบฅt kแปณ cรกch tiแบฟp cแบญn nร o ฤ‘แป‘i vแป›i lฤฉnh vแปฑc hiแป‡n ฤ‘แบกi cแปงa nรณ chแป‰ trแปŸ thร nh cรณ thแปƒ sau khi Robert Brown thiแบฟt lแบญp vร o nฤƒm 1827 sแปฑ tแป“n tแบกi cแปงa cรกc noรฃn trแบงn thแปฑc sแปฑ trong Cycadeae (Tuแบฟ) vร  Coniferae (Thรดng), cho phรฉp gแปi chรบng mแป™t cรกch chรญnh xรกc lร  thแปฑc vแบญt hแบกt trแบงn. Tแปซ thแปi ฤ‘iแปƒm nร y trแปŸ ฤ‘i, cลฉng giแป‘ng nhฦฐ Gymnosperm ฤ‘ฦฐแปฃc dรนng ฤ‘แปƒ chแป‰ thแปฑc vแบญt hแบกt trแบงn thรฌ thuแบญt ngแปฏ Angiosperm ฤ‘รฃ ฤ‘ฦฐแปฃc nhiแปu nhร  thแปฑc vแบญt hแปc dรนng vแป›i รฝ nghฤฉa ฤ‘แป‘i lแบญp, nhฦฐng vแป›i giแป›i hแบกn thay ฤ‘แป•i, nhฦฐ lร  tรชn nhรณm cho cรกc thแปฑc vแบญt hai lรก mแบงm khรกc.', '[RESPONSE]\nThuแบญt ngแปฏ "Angiosperm" thแปฑc chแบฅt cรณ nguแป“n gแป‘c tแปซ tiแบฟng Latin, khรดng phแบฃi tiแบฟng Hy Lแบกp cแป• ฤ‘แบกi, vร  lแบงn ฤ‘แบงu tiรชn ฤ‘ฦฐแปฃc ฤ‘แป‹nh nghฤฉa vร o nฤƒm 1690 bแปŸi Carolus Linnaeus, ngฦฐแปi ฤ‘รฃ sแปญ dแปฅng nรณ ฤ‘แปƒ mรด tแบฃ thแปฑc vแบญt hแบกt trแบงn.'],
]
scores = model.predict(pairs)
print(scores.shape)
# (5, 3)

Training Details

Training Dataset

Unnamed Dataset

  • Size: 6,478 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: 546 characters
    • mean: 978.27 characters
    • max: 7362 characters
    • min: 28 characters
    • mean: 192.72 characters
    • max: 311 characters
    • 0: ~31.50%
    • 1: ~35.30%
    • 2: ~33.20%
  • Samples:
    sentence_0 sentence_1 label
    [PROMPT]
    Jackson ฤ‘รฃ giร nh ฤ‘ฦฐแปฃc giแบฃi Oscar cho bแป™ phim tร i liแป‡u "This Is It" vร o nฤƒm 2009, ฤ‘รบng khรดng?
    [CONTEXT]
    Bร i hรกt phรกt hร nh ฤ‘แบงu tiรชn sau khi qua ฤ‘แปi cแปงa Jackson mang tรชn "This Is It", do รดng ฤ‘แป“ng sรกng tรกc cรนng Paul Anka vร o nhแปฏng nฤƒm 1980. Bร i hรกt khรดng ฤ‘ฦฐแปฃc xuแบฅt hiแป‡n trong ฤ‘รชm nhแบกc cรนng tรชn vร  bแบฃn thu รขm dแปฑa trรชn mแป™t ฤ‘oแบกn thu thแปญ cลฉ. Cรกc anh em cรฒn lแบกi cแปงa nhร  Jackson ฤ‘รฃ vร o phรฒng thu lแบงn ฤ‘แบงu kแปƒ tแปซ nฤƒm 1989 ฤ‘แปƒ thu giแปng bรจ cho bร i hรกt nร y. Vร o ngร y 28 thรกng 10 nฤƒm 2009, mแป™t bแป™ phim tร i liแป‡u vแป khรขu tแบญp dฦฐแปฃt cho ฤ‘รชm diแป…n mang tรชn Michael Jackson's This Is It ฤ‘ฦฐแปฃc ra mแบฏt. Dรน chแป‰ phรกt hร nh trong 2 tuแบงn giแป›i hแบกn, ฤ‘รขy lแบกi lร  bแป™ phim tร i liแป‡u hay ฤ‘รชm diแป…n ฤ‘แบกt doanh thu cao nhแบฅt mแปi thแปi ฤ‘แบกi, vแป›i 260 triแป‡u ฤ‘รด-la Mแปน trรชn toร n cแบงu. Tร i sแบฃn cแปงa Jackson thu vแป 90% lแปฃi nhuแบญn. Bแป™ phim ra mแบฏt cรนng mแป™t album tแป•ng hแปฃp cรนng tรชn. Hai phiรชn bแบฃn mแป›i cแปงa bร i hรกt xuแบฅt hiแป‡n trong album nร y, cรนng mแป™t ฤ‘ฤฉa bแป• sung vแป›i bร i thฦก mang tแปฑa ฤ‘แป "Planet Earth". Tแบกi Giแบฃi thฦฐแปŸng รขm nhแบกc Mแปน 2009, Jackson thแบฑng 4 gi...
    [RESPONSE]
    Khรดng, Jackson khรดng giร nh ฤ‘ฦฐแปฃc giแบฃi Oscar cho bแป™ phim tร i liแป‡u "This Is It" vร o nฤƒm 2009. Bแป™ phim ฤ‘แบกt doanh thu cao nhฦฐng khรดng giร nh ฤ‘ฦฐแปฃc giแบฃi Oscar.
    2
    [PROMPT]
    Vua Philippos II ฤ‘ฦฐแปฃc thแบงn linh bแบฏt phแบฃi lร m gรฌ?
    [CONTEXT]
    Nรณi chung, sau khi cรณ chiรชm bao, vua Philippos II sai Chaero ngฦฐแปi xแปฉ Megalopolis) ฤ‘แบฟn ngรดi ฤ‘iแป‡n thแป thแบงn Apollo tแบกi Delphi, ฤ‘แปƒ hแปi รฝ thแบงn linh xem giแบฅc mแป™ng cแปงa vua bรกo hiแป‡u ฤ‘iแปu gรฌ sแบฝ xแบฃy ra? Philippos II ฤ‘รฃ nhแบญn ฤ‘ฦฐแปฃc cรขu trแบฃ lแปi rแบฑng, รดng phแบฃi thแป phแปฅng thแบงn Zeus chu ฤ‘รกo, hฦกn hแบฟt tแบฅt cแบฃ mแปi vแป‹ thแบงn khรกc. Vร , nhร  vua ฤ‘รฃ bแป‹ mแบฅt mแป™t con mแบฏt khi ฤ‘i chinh chiแบฟn, mร  vแป›i con mแบฏt nร y รดng ฤ‘รฃ nhรฌn trแป™m qua buแป“ng ngแปง cแปงa vแปฃ, thแบฅy thแบงn linh ฤ‘แป™i lแป‘t loร i rแบฏn mร  ngแปง chung vแป›i vแปฃ รดng. Hฦกn nแปฏa, theo nhฦฐ Eratosthenes, sau nร y khi Alexandros ฤแบกi ฤแบฟ lรชn ฤ‘ฦฐแปng chinh phแบกt ร chรขu, Olympias ฤ‘รฃ tแปญ tแบฟ tแปซ biแป‡t con mรฌnh, sau khi bร  ฤ‘รฃ nรณi riรชng vแป›i รดng rแบฑng รดng thแปฑc chแบฅt lร  con cแปงa ai? Bร  ฤ‘รฃ cรบng tแบฟ vแป‹ thแบงn แบฅy nhฦฐ thแบฟ nร o? ฤแปƒ rแป“i รดng thแบญt xแปฉng ฤ‘รกng lร  con cแปงa vแป‹ thแบงn แบฅy. Cลฉng cรณ ngฦฐแปi viแบฟt rแบฑng Olympias bรกc bแป huyแปn thoแบกi nร y, bร  nรณi:
    [RESPONSE]
    Vua Philippos II ฤ‘ฦฐแปฃc thแบงn linh bแบฏt phแบฃi thแป phแปฅng thแบงn Apollo chu ฤ‘รกo, hฦกn hแบฟt tแบฅt cแบฃ mแปi vแป‹ thแบงn khรกc, ฤ‘แปƒ ฤ‘แบฃm bแบฃo sแปฑ thแป‹nh vฦฐแปฃng cแปงa vฦฐฦกng quแป‘c mรฌnh.
    1
    [PROMPT]
    Viแป‡c thร nh lแบญp liรชn bang ฤ‘รฃ vแบฅp phแบฃi nhแปฏng mรขu thuแบซn nร o, chแบณng hแบกn nhฦฐ viแป‡c Singapore gia nhแบญp liรชn bang vร o nฤƒm 1975 vร  khรดng bao giแป bแป‹ trแปฅc xuแบฅt?
    [CONTEXT]
    Sแปฑ thร nh lแบญp liรชn bang khiแบฟn cรกc cฤƒng thแบณng tฤƒng cao, bao gแป“m mแป™t cuแป™c xung ฤ‘แป™t vแป›i Indonesia, Singapore bแป‹ trแปฅc xuแบฅt vร o nฤƒm 1965, vร  xung ฤ‘แป™t sแบฏc tแป™c. Xung ฤ‘แป™t sแบฏc tแป™c lรชn ฤ‘แบฟn ฤ‘แป‰nh ฤ‘iแปƒm trong cรกc cuแป™c bแบกo loแบกn sแบฏc tแป™c ngร y 13 thรกng 5 nฤƒm 1969. Sau cรกc cuแป™c bแบกo loแบกn, Thแปง tฦฐแป›ng Tun Abdul Razak ฤ‘ฦฐa ra Chรญnh sรกch Kinh tแบฟ mแป›i gรขy tranh cรฃi, mแปฅc ฤ‘รญch lร  nhแบฑm nรขng cao phแบงn sแปŸ hแปฏu kinh tแบฟ cแปงa bumiputera. Dฦฐแป›i thแปi Thแปง tฦฐแป›ng Mahathir Mohamad, Malaysia trแบฃi qua tฤƒng trฦฐแปŸng kinh tแบฟ vร  ฤ‘รด thแป‹ hรณa nhanh chรณng. Kinh tแบฟ Malaysia chuyแปƒn ฤ‘แป•i tแปซ dแปฑa vร o nรดng nghiแป‡p sang dแปฑa vร o chแบฟ tแบกo vร  cรดng nghiแป‡p. Nhiแปu siรชu dแปฑ รกn ฤ‘ฦฐแปฃc hoร n thร nh, chแบณng hแบกn nhฦฐ thรกp ฤ‘รดi Petronas, xa lแป™ Nam-Bแบฏc, hร nh lang ฤ‘a phฦฐฦกng tiแป‡n siรชu cแบฅp, vร  thแปง ฤ‘รด hร nh chรญnh liรชn bang mแป›i Putrajaya. Tuy nhiรชn, vร o cuแป‘i thแบญp niรชn 1990, Khแปงng hoแบฃng tร i chรญnh chรขu ร suรฝt khiแบฟn...
    [RESPONSE]
    Singapore gia nhแบญp liรชn bang vร o nฤƒm 1975 vร  khรดng bao giแป bแป‹ trแปฅc xuแบฅt, dแบซn ฤ‘แบฟn sแปฑ แป•n ฤ‘แป‹nh vร  hรฒa hแปฃp lรขu dร i vแป›i Malaysia mร  khรดng cรณ bแบฅt kแปณ xung ฤ‘แป™t sแบฏc tแป™c nร o xแบฃy ra.
    1
  • Loss: CrossEntropyLoss

Training Hyperparameters

Non-Default Hyperparameters

  • per_device_train_batch_size: 4
  • per_device_eval_batch_size: 4
  • num_train_epochs: 4
  • fp16: True

All Hyperparameters

Click to expand
  • overwrite_output_dir: False
  • do_predict: False
  • eval_strategy: no
  • prediction_loss_only: True
  • per_device_train_batch_size: 4
  • per_device_eval_batch_size: 4
  • 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: 4
  • 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: True
  • fp16_opt_level: O1
  • half_precision_backend: auto
  • bf16_full_eval: False
  • fp16_full_eval: False
  • tf32: None
  • local_rank: 0
  • ddp_backend: None
  • tpu_num_cores: None
  • tpu_metrics_debug: False
  • debug: []
  • dataloader_drop_last: False
  • dataloader_num_workers: 0
  • dataloader_prefetch_factor: None
  • past_index: -1
  • disable_tqdm: False
  • remove_unused_columns: True
  • label_names: None
  • load_best_model_at_end: False
  • ignore_data_skip: False
  • fsdp: []
  • fsdp_min_num_params: 0
  • fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
  • fsdp_transformer_layer_cls_to_wrap: None
  • accelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
  • parallelism_config: None
  • deepspeed: None
  • label_smoothing_factor: 0.0
  • optim: adamw_torch_fused
  • 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
  • hub_revision: None
  • 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
  • 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
  • liger_kernel_config: None
  • 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
0.3086 500 0.8509
0.6173 1000 0.7573
0.9259 1500 0.7314
1.2346 2000 0.6552
1.5432 2500 0.6549
1.8519 3000 0.6612
2.1605 3500 0.6118
2.4691 4000 0.4973
2.7778 4500 0.5137
3.0864 5000 0.4802
3.3951 5500 0.3779
3.7037 6000 0.4395

Framework Versions

  • Python: 3.12.3
  • Sentence Transformers: 5.1.1
  • Transformers: 4.56.2
  • PyTorch: 2.8.0+cu128
  • Accelerate: 1.10.1
  • Datasets: 4.1.1
  • Tokenizers: 0.22.1

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",
}
Downloads last month
1
Safetensors
Model size
0.6B params
Tensor type
F32
ยท
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for htNghiaaa/nextlevelv1-bge-finetuned-v1

Finetuned
(138)
this model

Paper for htNghiaaa/nextlevelv1-bge-finetuned-v1