This is a
sentence-transformers
model finetuned from
BAAI/bge-base-en-v1.5
on the json dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
from sentence_transformers import SentenceTransformer
# Download from the 🤗 Hub
model = SentenceTransformer("Yuki20/bge-base-financial-matryoshka")
# Run inference
sentences = [
"As of December 31, 2023, the fair value and amortized cost, net of valuation allowance, for the Republic of Korea's government securities were $1,784 million and $1,723 million respectively.",
"What was the fair value and amortized cost, net of valuation allowance, for the Republic of Korea's government securities as of December 31, 2023?",
'How does the company advance autonomous vehicle technology?',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]
Approximate statistics based on the first 1000 samples:
positive
anchor
type
string
string
details
min: 6 tokens
mean: 45.58 tokens
max: 289 tokens
min: 9 tokens
mean: 20.34 tokens
max: 41 tokens
Samples:
positive
anchor
Billed business grew significantly over the past two years, increasing from $228.2 billion in 2021 to $281.6 billion in 2022, and reaching $329.5 billion in 2023.
How did billed business figures change from 2021 to 2023 as stated in the text?
The Federal Reserve may limit an FHC’s ability to conduct permissible activities if it or any of its depository institution subsidiaries fails to maintain a well-capitalized and well-managed status. If non-compliant after 180 days, the Federal Reserve may require the FHC to divest its depository institution subsidiaries or cease all FHC Activities.
What happens if an FHC does not meet the Federal Reserve's eligibility requirements?
For the fiscal year ending January 28, 2023, the basic net income per share was calculated to be $7.24, based on the net income and weighted average number of shares outstanding.
What was the basic net income per share in the fiscal year ending January 28, 2023?
@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",
}
MatryoshkaLoss
@misc{kusupati2024matryoshka,
title={Matryoshka Representation Learning},
author={Aditya Kusupati and Gantavya Bhatt and Aniket Rege and Matthew Wallingford and Aditya Sinha and Vivek Ramanujan and William Howard-Snyder and Kaifeng Chen and Sham Kakade and Prateek Jain and Ali Farhadi},
year={2024},
eprint={2205.13147},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
MultipleNegativesRankingLoss
@misc{henderson2017efficient,
title={Efficient Natural Language Response Suggestion for Smart Reply},
author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil},
year={2017},
eprint={1705.00652},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
Runs of Yuki20 bge-base-financial-matryoshka on huggingface.co
125
Total runs
-2
24-hour runs
11
3-day runs
33
7-day runs
41
30-day runs
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