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---
language:
- en
license: apache-2.0
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:1456
- loss:MatryoshkaLoss
- loss:MultipleNegativesRankingLoss
base_model: intfloat/multilingual-e5-large-instruct
widget:
- source_sentence: 'relation to a portfolio manager being a body corporate, shall
be construed with reference to : (i) the definition of control in terms of Regulation
2(1)(e) of SEBI (Substantial Acquisition of Shares and Takeovers) Regulations,
2011 as amended from time to time, if its shares are listed on any recognized
stock exchange; (ii) in any other case, change in the controlling interest in
the body corporate; Explanation. For the purpose of sub-clause (ii), the expression
controlling interest means, (A) an interest, whether direct or indirect, to the
extent of at least fifty-one percent of voting rights in the body corporate; (B)
right to appoint majority of the directors or to control the management directly
or indirectly. Page 3 of 78 reference to the definition of control in terms of
regulations framed under clause (h) of sub-section (2) of section 11 of the Act;
(B) if its shares are not listed on any recognised stock exchange, shall be construed
with reference to the definition of control as provided in sub-section (27) of
Section 2 of the Companies Act, 2013 (18 of 2013);] (f) chartered accountant"
means a chartered accountant as defined in clause (b) of sub- section (1) of section
2 of the Chartered Accountants Act, 1949 (38 of 1949) and who has obtained a certificate
of practice under sub-section (1) of section 6 of that Act; 5[(fa) Co-investment
Portfolio Manager means a Portfolio Manager who is a Manager of a Category I or
Category II Alternative Investment Fund(s); and: (i) provides services only to
the investors of such Category I or Category II Alternative Investment Fund(s);
and (ii) makes investment only in unlisted securities of investee companies where
such Category I or Category II Alternative Investment Fund(s) make investments:
Provided that the Co-investment Portfolio Manager may provide services to investors
from any other Category I or Category II Alternative Investment Fund(s) which
are managed by them and are also sponsored by the same Sponsor(s);] (g) discretionary
portfolio manager means a portfolio manager who under a contract relating to portfolio
management, exercises or may exercise, any degree of discretion as to the investment
of funds or management of the portfolio of securities of the client, as the case
may be; (h) eligible fund manager shall have the same meaning as assigned to it
in sub-section (4) of Section 9A of the Income-tax Act, 1961; (i) eligible investment
fund shall have the same meaning as assigned to it in sub-section (3) of Section
9A of the Income-tax Act, 1961; 5 Inserted by the Securities and Exchange Board
of India (Portfolio Managers) (Fourth Amendment) Regulations, 2021 w. Page 4 of
78 (j) "form" means a form specified in Schedule I; (k) goods means the goods
notified by the Central Government under clause (bc) of section 2 of the Securities
Contracts (Regulation) Act, 1956 and forming the underlying of any commodity derivative;
(l) "inspecting authority" means one or more persons appointed by the Board to
exercise powers conferred under Chapter V; 6[(la) large value accredited investor
means an accredited investor who has entered into an agreement with the portfolio
manager for a minimum investment amount of ten crore rupees;] 7[(lb) investee
company shall have the same meaning as assigned to it in clause (o) of sub- regulation
(1) of regulation 2 of the Securities and Exchange Board of India (Alternative
Investment Funds) Regulations, 2012; (lc) Manager shall'
sentences:
- What are the particulars of units of the scheme and/or shares and debentures of
the company issued for consideration other than cash?
- What is the maximum period allowed for a listed company to increase its public
shareholding to twenty-five percent after it falls below that threshold as a result
of an approved resolution plan under the Insolvency and Bankruptcy Code, 2016?
- What is the definition of "controlling interest" in the context of a body corporate
under the SEBI regulations?
- source_sentence: 'The issuer making a private placement of debt securities and non-convertible
redeemable preference shares and seeking listing thereof on a recognised stock
exchange shall make the following disclosures in the placement memorandum: (a)
disclosures specified in 28[Schedule I] of these regulations; (b) disclosures
specified in the Companies Act, 2013 (18 of 2013), as applicable; (c) additional
disclosures as may be specified by the Board. (2) The disclosures as provided
in sub-regulation (1) shall be made on the websites of stock exchange(s) where
such securities are proposed to be listed and shall be available for download
in PDF or any other format as may be specified by the Board. (3) The issuer shall
ensure that the audited financial statements contained in the placement memorandum
29[] shall not be more than six months old from the date of filing placement memorandum
or the issue opening date, as applicable: 27 Substituted by the by the Securities
and Exchange Board of India (Issue and Listing of Non-Convertible Securities)
(Amendment) Regulations, 2024 w. Prior to substitution, it read as The debenture
trustee shall submit a due diligence certificate to the stock exchange: (a) in
case of secured debt securities, in the format as specified in Schedule IV of
these regulations; and (b) in case of unsecured debt securities, in the format
as specified in Schedule IVA of these regulations. Prior to this, it was substituted
by the Securities and Exchange Board of India (Issue and Listing of Non-Convertible
Securities) (Amendment) Regulations, 2022, w. Prior to substitution, sub-regulation
3 read as: Debenture trustee shall submit a due diligence certificate to the stock
exchange in the format as specified in Schedule IV of these regulations. 28 Substituted
by the Securities and Exchange Board of India (Issue and Listing of Non-Convertible
Securities) (Second Amendment) Regulations, 2023, w. Prior to substitution, the
words were Schedule II. 29 Omitted by the Securities and Exchange Board of India
(Issue and Listing of Non-Convertible Securities) (Second Amendment) Regulations,
2023, w. Prior to omission, the words were and tranche placement memorandum. Page
26 of 79 Provided that in case of: (a) listed issuers (whose non-convertible securities
or specified securities are listed on recognised stock exchange(s)), who are in
compliance with the listing regulations; (b) the issuers of non-convertible securities,
who are subsidiaries of entities who have listed their specified securities, and
are in compliance with the listing regulations, instead of audited financial statements
for the stub period, they may disclose unaudited financial information for such
period in the format as prescribed in the listing regulations with limited review
report, as filed with the stock exchange(s), subject to necessary disclosures
in this regard in the placement memorandum including risk factors. Allotment of
securities 46. The issuer shall ensure allotment of debt securities and non-convertible
redeemable preference shares issued on a private placement basis and credit to
the dematerialised account of the investors, is made within such time as may be
specified by the Board. PART B ADDITIONAL PROVISIONS FOR LISTING OF DEBT SECURITIES
ISSUED ON PRIVATE PLACEMENT BASIS Filing of shelf placement memorandum 47. 30[]
Creation of security 48. (1) While creating a charge or security, the issuer shall
have the option to create charge or security over the properties or assets (movable,
immovable, tangible, intangible), shares or any interest thereon, of the issuer
or its subsidiaries or its holding companies or its associate companies. 30 Omitted
by the Securities and Exchange Board of India'
sentences:
- What is the penalty for a reporting requirement violation under the PIT Regulations
if there is a delay of more than three months?
- What are the names of the members of the issuer's audit committee, nomination
and remuneration committee, and stakeholders relationship committee?
- What disclosures must an issuer include in the placement memorandum when making
a private placement of debt securities and non-convertible redeemable preference
shares?
- source_sentence: 'Accredited refineries means refineries empanelled by the Stock
Exchanges; Page 4 of 26 (c) Assayer means a person engaged in the process of assessing
the purity or quality of gold; (d) Beneficial Owner means a person whose name
is recorded as such with a depository/depository participant; (e) Board means
the Securities and Exchange Board of India established under section 3 of the
Act; 1[(f) Change in control in case of a body corporate (A) if its shares are
listed on any recognised stock exchange, shall be construed with reference to
the definition of control in terms of regulations framed under clause (h) of sub-section
(2) of section 11 of the Act; (B) if its shares are not listed on any recognised
stock exchange, shall be construed with reference to the definition of control
as provided in sub-section (27) of Section 2 of the Companies Act, 2013 (18 of
2013);] (g) Depositor means a person who owns the gold deposited with the vault
for creation of Electronic Gold Receipt and its trading on recognized stock exchange;
(h) Electronic Gold Receipt shall have the meaning assigned to it under the Securities
Contracts (Regulation) Act, 1956; (i) Gold standard means the purity and standard
of gold as specified by the recognized stock exchanges; (j) Nominated agencies
means agencies nominated by the Directorate General of Foreign Trade for import
of Gold under the Foreign Trade (Development and Regulation) Act, 1992; 1 Substituted
by the Securities and Exchange Board of India (Change in Control in Intermediaries)
(Amendment) Regulations, 2023 w. Prior to the substitution, clause (f) read as
under: Change in control, in relation to a Vault Manager being a body corporate,
shall be construed with reference to: (i) the definition of control in terms of
regulation 2(1)(e) of SEBI (Substantial Acquisition of Shares and Takeovers) Regulations,
2011 as amended from time to time if its shares are listed on any recognized stock
exchange; (ii) in any other case, change in the controlling interest in the body
corporate; Explanation For the purpose of sub-clause (ii), the expression controlling
interest means- (A) an interest, whether direct or indirect, to the extent of
at least fifty-one percent of voting rights in the body corporate; or (B) right
to appoint majority of the directors or to control the management directly or
indirectly; Page 5 of 26 (k) Recognized vault means the premises encompassing
strong room(s) set up and managed by the Vault Manager and which conforms with
all the requirements specified by the Board for the purpose of providing vaulting
services; (l) Vault Manager means any person who carries on or intends to carry
on the business of providing vaulting services; (m) Vaulting service in relation
to gold means the storage and safekeeping of gold deposited with the Vault Manager,
by the depositor, for the purpose of trading in Electronic Gold Receipt and providing
services incidental thereto, and includes (i) utilizing the services of assayers
empanelled with the Stock Exchanges for testing as per the gold standard, wherever
required; (ii) coordination with depositories for creation, transfer and extinguishment
of Electronic Gold Receipt; and (iii) providing deposit, storage and withdrawal
services to the beneficial owners. (2) The words and expressions used and not
defined in these regulations, but defined in the Act, the Securities Contracts
(Regulation) Act, 1956, (42 of 1956), the Companies Act, 2013 (18 of 2013), the
Depositories Act, 1996, or any rules'
sentences:
- What happens if the eighth day, as reckoned under the Negotiable Instruments Act,
is itself a public holiday?
- What is the role of an Assayer according to the context provided?
- What disclosures are required regarding significant income sources that constitute
more than 10% of total income?
- source_sentence: 'Regulations, 2023 w. 93 Inserted by the Securities and Exchange
Board of India (Buy-Back of Securities) (Second Amendment) Regulations, 2024 w.
Particulars Content Public Announcement i) The Public announcement shall be dated
and signed on behalf of the Board of Directors of the company by its manager or
secretary, if any, and by not less than two directors of the company one of whom
shall be a managing director where there is one. ii) A full and complete disclosure
of all material facts including the disclosures mentioned in Schedule I. iii)
In addition to the disclosures in Schedule A, the following disclosures shall
be made: i) Date of shareholders approval for buy-back, if applicable; ii) Minimum
and maximum number of securities that the company proposes to buy-back, sources
of funds from which the buy-back would be made and the cost of financing the buy-back;
iii) Proposed time table from opening of offer till the extinguishment of the
certificates; iv) Process and methodology to be adopted for the buy- back; v)
Brief information about the company; i) The Public announcement shall be dated
and signed on behalf of the Board of Directors of the company by its manager or
secretary, if any, and by not less than two directors of the company one of whom
shall be a managing director where there is one. ii) A full and complete disclosure
of all material facts including the disclosures mentioned in Schedule I. Page
46 of 51 SCHEDULE - IV [Regulation 16(iv)(b)] Public Announcement for Open Market
Buy-Back through Stock Exchange Particulars Content Public Announcement i) The
Public announcement shall be dated and signed on behalf of the Board of Directors
of the company by its manager or secretary, if any, and by not less than two directors
of the company one of whom shall be a managing director where there is one. ii)
A full and complete disclosure of all material facts including the disclosures
mentioned in Schedule I. iii) In addition to the disclosures in Schedule A, the
following disclosures shall be made: i) Date of shareholders approval for buy-back,
if applicable; ii) Minimum and maximum number of securities that the company proposes
to buy-back, sources of funds from which the buy-back would be made and the cost
of financing the buy-back; iii) Proposed time table from opening of offer till
the extinguishment of the certificates; iv) Process and methodology to be adopted
for the buy- back; v) Brief information about the company; Particulars Content
vi) Audited Financial information for the last 3 years and the lead manager shall
ensure that the particulars (audited statement and un-audited statement) contained
therein shall not be more than more than 6 months old from the date of the public
announcement together with financial ratios as may be specified by the Board;
Explanation: Ensure that the un-audited financial results, if any disclosed, should
be certified / limited review by statutory auditors. vii) Details of escrow account
opened and the amount deposited therein; viii) Listing details and stock market
data: a) high, low and average market prices of the securities of the company
proposed to be bought back, during the preceding three years; b) monthly high
and low prices for the six months preceding the date of the public announcement;
c) the number of securities traded on the days when the high and low prices were
recorded on the relevant stock exchanges during the period stated at (a) and (b)
above; d) the stock market data referred to above shall be shown separately for
periods marked by a change in capital structure, with such period commencing from
the date the concerned stock exchange recognises the change in the capital structure.
when the securities have become ex-rights or ex-bonus) ; e)'
sentences:
- What is the time frame within which a return of allotment of securities must be
filed with the Registrar according to the Companies (Registration Offices and
Fees) Rules, 2014?
- What is the deadline for a listed entity to put in place systems and processes
for compliance with clause (f) of sub-regulation (2) of regulation 34 after it
is required to comply for the first time?
- What are the specific disclosures required in a public announcement for a buy-back
of securities according to the Securities and Exchange Board of India regulations?
- source_sentence: 1996. In section 19 of the Depositories Act, 1996 (hereafter in
this chapter referred to as the principal Act in this chapter), the following
Explanation shall be inserted, namely:- Explanation. For the removal of doubts,
it is hereby declared that power to issue directions under this section shall
include and always be deemed to have been included the power to direct any person,
who made profit or averted loss by indulging in any transaction or activity in
contravention of the provisions of this Act or regulations made thereunder, to
disgorge an amount equivalent to the wrongful gain made or loss averted by such
contravention.
sentences:
- What are the qualifications required for a judge to be appointed to a Special
Court under this Act?
- What is the purpose of the Explanation inserted in section 19 of the Depositories
Act, 1996?
- What is the minimum percentage of total issued shares that the acquirer must reach
in order for the delisting offer to be considered successful?
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics:
- cosine_accuracy@1
- cosine_accuracy@3
- cosine_accuracy@5
- cosine_accuracy@10
- cosine_precision@1
- cosine_precision@3
- cosine_precision@5
- cosine_precision@10
- cosine_recall@1
- cosine_recall@3
- cosine_recall@5
- cosine_recall@10
- cosine_ndcg@10
- cosine_mrr@10
- cosine_map@100
model-index:
- name: BGE base Financial Matryoshka
results:
- task:
type: information-retrieval
name: Information Retrieval
dataset:
name: dim 1024
type: dim_1024
metrics:
- type: cosine_accuracy@1
value: 0.4444444444444444
name: Cosine Accuracy@1
- type: cosine_accuracy@3
value: 0.6481481481481481
name: Cosine Accuracy@3
- type: cosine_accuracy@5
value: 0.7654320987654321
name: Cosine Accuracy@5
- type: cosine_accuracy@10
value: 0.8580246913580247
name: Cosine Accuracy@10
- type: cosine_precision@1
value: 0.4444444444444444
name: Cosine Precision@1
- type: cosine_precision@3
value: 0.21604938271604937
name: Cosine Precision@3
- type: cosine_precision@5
value: 0.1530864197530864
name: Cosine Precision@5
- type: cosine_precision@10
value: 0.08580246913580246
name: Cosine Precision@10
- type: cosine_recall@1
value: 0.4444444444444444
name: Cosine Recall@1
- type: cosine_recall@3
value: 0.6481481481481481
name: Cosine Recall@3
- type: cosine_recall@5
value: 0.7654320987654321
name: Cosine Recall@5
- type: cosine_recall@10
value: 0.8580246913580247
name: Cosine Recall@10
- type: cosine_ndcg@10
value: 0.6421201243284039
name: Cosine Ndcg@10
- type: cosine_mrr@10
value: 0.5738928081520673
name: Cosine Mrr@10
- type: cosine_map@100
value: 0.579194645178185
name: Cosine Map@100
- task:
type: information-retrieval
name: Information Retrieval
dataset:
name: dim 768
type: dim_768
metrics:
- type: cosine_accuracy@1
value: 0.4382716049382716
name: Cosine Accuracy@1
- type: cosine_accuracy@3
value: 0.6790123456790124
name: Cosine Accuracy@3
- type: cosine_accuracy@5
value: 0.7716049382716049
name: Cosine Accuracy@5
- type: cosine_accuracy@10
value: 0.8580246913580247
name: Cosine Accuracy@10
- type: cosine_precision@1
value: 0.4382716049382716
name: Cosine Precision@1
- type: cosine_precision@3
value: 0.22633744855967078
name: Cosine Precision@3
- type: cosine_precision@5
value: 0.15432098765432098
name: Cosine Precision@5
- type: cosine_precision@10
value: 0.08580246913580246
name: Cosine Precision@10
- type: cosine_recall@1
value: 0.4382716049382716
name: Cosine Recall@1
- type: cosine_recall@3
value: 0.6790123456790124
name: Cosine Recall@3
- type: cosine_recall@5
value: 0.7716049382716049
name: Cosine Recall@5
- type: cosine_recall@10
value: 0.8580246913580247
name: Cosine Recall@10
- type: cosine_ndcg@10
value: 0.6433927914668317
name: Cosine Ndcg@10
- type: cosine_mrr@10
value: 0.5750416421712717
name: Cosine Mrr@10
- type: cosine_map@100
value: 0.5802095394714604
name: Cosine Map@100
- task:
type: information-retrieval
name: Information Retrieval
dataset:
name: dim 512
type: dim_512
metrics:
- type: cosine_accuracy@1
value: 0.42592592592592593
name: Cosine Accuracy@1
- type: cosine_accuracy@3
value: 0.6604938271604939
name: Cosine Accuracy@3
- type: cosine_accuracy@5
value: 0.7469135802469136
name: Cosine Accuracy@5
- type: cosine_accuracy@10
value: 0.8580246913580247
name: Cosine Accuracy@10
- type: cosine_precision@1
value: 0.42592592592592593
name: Cosine Precision@1
- type: cosine_precision@3
value: 0.22016460905349794
name: Cosine Precision@3
- type: cosine_precision@5
value: 0.1493827160493827
name: Cosine Precision@5
- type: cosine_precision@10
value: 0.08580246913580246
name: Cosine Precision@10
- type: cosine_recall@1
value: 0.42592592592592593
name: Cosine Recall@1
- type: cosine_recall@3
value: 0.6604938271604939
name: Cosine Recall@3
- type: cosine_recall@5
value: 0.7469135802469136
name: Cosine Recall@5
- type: cosine_recall@10
value: 0.8580246913580247
name: Cosine Recall@10
- type: cosine_ndcg@10
value: 0.634696623555164
name: Cosine Ndcg@10
- type: cosine_mrr@10
value: 0.5637835586909661
name: Cosine Mrr@10
- type: cosine_map@100
value: 0.5684500259232229
name: Cosine Map@100
- task:
type: information-retrieval
name: Information Retrieval
dataset:
name: dim 256
type: dim_256
metrics:
- type: cosine_accuracy@1
value: 0.4074074074074074
name: Cosine Accuracy@1
- type: cosine_accuracy@3
value: 0.6481481481481481
name: Cosine Accuracy@3
- type: cosine_accuracy@5
value: 0.7469135802469136
name: Cosine Accuracy@5
- type: cosine_accuracy@10
value: 0.8333333333333334
name: Cosine Accuracy@10
- type: cosine_precision@1
value: 0.4074074074074074
name: Cosine Precision@1
- type: cosine_precision@3
value: 0.21604938271604937
name: Cosine Precision@3
- type: cosine_precision@5
value: 0.1493827160493827
name: Cosine Precision@5
- type: cosine_precision@10
value: 0.08333333333333333
name: Cosine Precision@10
- type: cosine_recall@1
value: 0.4074074074074074
name: Cosine Recall@1
- type: cosine_recall@3
value: 0.6481481481481481
name: Cosine Recall@3
- type: cosine_recall@5
value: 0.7469135802469136
name: Cosine Recall@5
- type: cosine_recall@10
value: 0.8333333333333334
name: Cosine Recall@10
- type: cosine_ndcg@10
value: 0.6196827827085726
name: Cosine Ndcg@10
- type: cosine_mrr@10
value: 0.551393787967862
name: Cosine Mrr@10
- type: cosine_map@100
value: 0.5573349265073704
name: Cosine Map@100
- task:
type: information-retrieval
name: Information Retrieval
dataset:
name: dim 128
type: dim_128
metrics:
- type: cosine_accuracy@1
value: 0.4012345679012346
name: Cosine Accuracy@1
- type: cosine_accuracy@3
value: 0.6481481481481481
name: Cosine Accuracy@3
- type: cosine_accuracy@5
value: 0.7283950617283951
name: Cosine Accuracy@5
- type: cosine_accuracy@10
value: 0.7962962962962963
name: Cosine Accuracy@10
- type: cosine_precision@1
value: 0.4012345679012346
name: Cosine Precision@1
- type: cosine_precision@3
value: 0.21604938271604937
name: Cosine Precision@3
- type: cosine_precision@5
value: 0.145679012345679
name: Cosine Precision@5
- type: cosine_precision@10
value: 0.07962962962962962
name: Cosine Precision@10
- type: cosine_recall@1
value: 0.4012345679012346
name: Cosine Recall@1
- type: cosine_recall@3
value: 0.6481481481481481
name: Cosine Recall@3
- type: cosine_recall@5
value: 0.7283950617283951
name: Cosine Recall@5
- type: cosine_recall@10
value: 0.7962962962962963
name: Cosine Recall@10
- type: cosine_ndcg@10
value: 0.6039691223407723
name: Cosine Ndcg@10
- type: cosine_mrr@10
value: 0.5417058592984518
name: Cosine Mrr@10
- type: cosine_map@100
value: 0.5493460884738333
name: Cosine Map@100
- task:
type: information-retrieval
name: Information Retrieval
dataset:
name: dim 64
type: dim_64
metrics:
- type: cosine_accuracy@1
value: 0.3395061728395062
name: Cosine Accuracy@1
- type: cosine_accuracy@3
value: 0.5802469135802469
name: Cosine Accuracy@3
- type: cosine_accuracy@5
value: 0.6604938271604939
name: Cosine Accuracy@5
- type: cosine_accuracy@10
value: 0.7283950617283951
name: Cosine Accuracy@10
- type: cosine_precision@1
value: 0.3395061728395062
name: Cosine Precision@1
- type: cosine_precision@3
value: 0.19341563786008228
name: Cosine Precision@3
- type: cosine_precision@5
value: 0.13209876543209875
name: Cosine Precision@5
- type: cosine_precision@10
value: 0.0728395061728395
name: Cosine Precision@10
- type: cosine_recall@1
value: 0.3395061728395062
name: Cosine Recall@1
- type: cosine_recall@3
value: 0.5802469135802469
name: Cosine Recall@3
- type: cosine_recall@5
value: 0.6604938271604939
name: Cosine Recall@5
- type: cosine_recall@10
value: 0.7283950617283951
name: Cosine Recall@10
- type: cosine_ndcg@10
value: 0.5359398981646132
name: Cosine Ndcg@10
- type: cosine_mrr@10
value: 0.4739148540074466
name: Cosine Mrr@10
- type: cosine_map@100
value: 0.48322090283980806
name: Cosine Map@100
---
# Legal-Embed-intfloat-multilingual-e5-large-instruct
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [intfloat/multilingual-e5-large-instruct](https://huggingface.co/intfloat/multilingual-e5-large-instruct) on the [legal-rag-embedding-dataset](https://huggingface.co/datasets/axondendriteplus/legal-rag-embedding-dataset). It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
## Model Details
### Model Description
- **Model Type:** Sentence Transformer
- **Base model:** [intfloat/multilingual-e5-large-instruct](https://huggingface.co/intfloat/multilingual-e5-large-instruct) <!-- at revision 84344a23ee1820ac951bc365f1e91d094a911763 -->
- **Maximum Sequence Length:** 512 tokens
- **Output Dimensionality:** 1024 dimensions
- **Similarity Function:** Cosine Similarity
- **Training Dataset:**
- json
- **Language:** en
- **License:** apache-2.0
## Usage
### Direct Usage (Sentence Transformers)
First install the Sentence Transformers library:
```bash
pip install -U sentence-transformers
```
Then you can load this model and run inference.
```python
from sentence_transformers import SentenceTransformer
# Download from the 🤗 Hub
model = SentenceTransformer("axondendriteplus/Legal-Embed-intfloat-multilingual-e5-large-instruct")
# Run inference
sentences = [
'1996. In section 19 of the Depositories Act, 1996 (hereafter in this chapter referred to as the principal Act in this chapter), the following Explanation shall be inserted, namely:- Explanation. For the removal of doubts, it is hereby declared that power to issue directions under this section shall include and always be deemed to have been included the power to direct any person, who made profit or averted loss by indulging in any transaction or activity in contravention of the provisions of this Act or regulations made thereunder, to disgorge an amount equivalent to the wrongful gain made or loss averted by such contravention.',
'What is the purpose of the Explanation inserted in section 19 of the Depositories Act, 1996?',
'What are the qualifications required for a judge to be appointed to a Special Court under this Act?',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 1024]
# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]
```
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## Evaluation
### Metrics
#### Information Retrieval
* Dataset: `dim_1024`
* Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator) with these parameters:
```json
{
"truncate_dim": 1024
}
```
| Metric | Value |
|:--------------------|:-----------|
| cosine_accuracy@1 | 0.4444 |
| cosine_accuracy@3 | 0.6481 |
| cosine_accuracy@5 | 0.7654 |
| cosine_accuracy@10 | 0.858 |
| cosine_precision@1 | 0.4444 |
| cosine_precision@3 | 0.216 |
| cosine_precision@5 | 0.1531 |
| cosine_precision@10 | 0.0858 |
| cosine_recall@1 | 0.4444 |
| cosine_recall@3 | 0.6481 |
| cosine_recall@5 | 0.7654 |
| cosine_recall@10 | 0.858 |
| **cosine_ndcg@10** | **0.6421** |
| cosine_mrr@10 | 0.5739 |
| cosine_map@100 | 0.5792 |
#### Information Retrieval
* Dataset: `dim_768`
* Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator) with these parameters:
```json
{
"truncate_dim": 768
}
```
| Metric | Value |
|:--------------------|:-----------|
| cosine_accuracy@1 | 0.4383 |
| cosine_accuracy@3 | 0.679 |
| cosine_accuracy@5 | 0.7716 |
| cosine_accuracy@10 | 0.858 |
| cosine_precision@1 | 0.4383 |
| cosine_precision@3 | 0.2263 |
| cosine_precision@5 | 0.1543 |
| cosine_precision@10 | 0.0858 |
| cosine_recall@1 | 0.4383 |
| cosine_recall@3 | 0.679 |
| cosine_recall@5 | 0.7716 |
| cosine_recall@10 | 0.858 |
| **cosine_ndcg@10** | **0.6434** |
| cosine_mrr@10 | 0.575 |
| cosine_map@100 | 0.5802 |
#### Information Retrieval
* Dataset: `dim_512`
* Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator) with these parameters:
```json
{
"truncate_dim": 512
}
```
| Metric | Value |
|:--------------------|:-----------|
| cosine_accuracy@1 | 0.4259 |
| cosine_accuracy@3 | 0.6605 |
| cosine_accuracy@5 | 0.7469 |
| cosine_accuracy@10 | 0.858 |
| cosine_precision@1 | 0.4259 |
| cosine_precision@3 | 0.2202 |
| cosine_precision@5 | 0.1494 |
| cosine_precision@10 | 0.0858 |
| cosine_recall@1 | 0.4259 |
| cosine_recall@3 | 0.6605 |
| cosine_recall@5 | 0.7469 |
| cosine_recall@10 | 0.858 |
| **cosine_ndcg@10** | **0.6347** |
| cosine_mrr@10 | 0.5638 |
| cosine_map@100 | 0.5685 |
#### Information Retrieval
* Dataset: `dim_256`
* Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator) with these parameters:
```json
{
"truncate_dim": 256
}
```
| Metric | Value |
|:--------------------|:-----------|
| cosine_accuracy@1 | 0.4074 |
| cosine_accuracy@3 | 0.6481 |
| cosine_accuracy@5 | 0.7469 |
| cosine_accuracy@10 | 0.8333 |
| cosine_precision@1 | 0.4074 |
| cosine_precision@3 | 0.216 |
| cosine_precision@5 | 0.1494 |
| cosine_precision@10 | 0.0833 |
| cosine_recall@1 | 0.4074 |
| cosine_recall@3 | 0.6481 |
| cosine_recall@5 | 0.7469 |
| cosine_recall@10 | 0.8333 |
| **cosine_ndcg@10** | **0.6197** |
| cosine_mrr@10 | 0.5514 |
| cosine_map@100 | 0.5573 |
#### Information Retrieval
* Dataset: `dim_128`
* Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator) with these parameters:
```json
{
"truncate_dim": 128
}
```
| Metric | Value |
|:--------------------|:----------|
| cosine_accuracy@1 | 0.4012 |
| cosine_accuracy@3 | 0.6481 |
| cosine_accuracy@5 | 0.7284 |
| cosine_accuracy@10 | 0.7963 |
| cosine_precision@1 | 0.4012 |
| cosine_precision@3 | 0.216 |
| cosine_precision@5 | 0.1457 |
| cosine_precision@10 | 0.0796 |
| cosine_recall@1 | 0.4012 |
| cosine_recall@3 | 0.6481 |
| cosine_recall@5 | 0.7284 |
| cosine_recall@10 | 0.7963 |
| **cosine_ndcg@10** | **0.604** |
| cosine_mrr@10 | 0.5417 |
| cosine_map@100 | 0.5493 |
#### Information Retrieval
* Dataset: `dim_64`
* Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator) with these parameters:
```json
{
"truncate_dim": 64
}
```
| Metric | Value |
|:--------------------|:-----------|
| cosine_accuracy@1 | 0.3395 |
| cosine_accuracy@3 | 0.5802 |
| cosine_accuracy@5 | 0.6605 |
| cosine_accuracy@10 | 0.7284 |
| cosine_precision@1 | 0.3395 |
| cosine_precision@3 | 0.1934 |
| cosine_precision@5 | 0.1321 |
| cosine_precision@10 | 0.0728 |
| cosine_recall@1 | 0.3395 |
| cosine_recall@3 | 0.5802 |
| cosine_recall@5 | 0.6605 |
| cosine_recall@10 | 0.7284 |
| **cosine_ndcg@10** | **0.5359** |
| cosine_mrr@10 | 0.4739 |
| cosine_map@100 | 0.4832 |
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## Training Details
### Training Dataset
#### json
* Dataset: json
* Size: 1,456 training samples
* Columns: <code>positive</code> and <code>anchor</code>
* Approximate statistics based on the first 1000 samples:
| | positive | anchor |
|:--------|:--------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|
| type | string | string |
| details | <ul><li>min: 110 tokens</li><li>mean: 480.18 tokens</li><li>max: 512 tokens</li></ul> | <ul><li>min: 13 tokens</li><li>mean: 30.5 tokens</li><li>max: 215 tokens</li></ul> |
* Samples:
| positive | anchor |
|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------|
| <code>its continued obligations towards the holders of debt securities. We have satisfied ourselves about the ability of the issuer to service the debt securities. PLACE DATE: DEBENTURE TRUSTEE TO THE ISSUE WITH HIS SEAL Page - 65 - of 68 FORMAT OF DUE DILIGENCE CERTIFICATE TO BE GIVEN BY THE DEBENTURE TRUSTEE BEFORE OPENING OF THE ISSUE To, SECURITIES AND EXCHANGE BOARD OF INDIA Dear Sir / Madam, SUB. : ISSUE OF BY (Issuer) We, the Debenture Trustee (s) to the above mentioned forthcoming issue state as follows: (1) We have examined documents pertaining to the said issue and other relevant documents. (2) On the basis of such examination and discussions with the issuer, its Mayor/Deputy Mayor /Directors and other officers, other agencies and independent verification of the various relevant documents,- (a) WE CONFIRM that the issuer has made adequate provisions regarding escrow payment mechanism for repayment of debt obligations, and (b) We have satisfied ourselves about the ability of the iss...</code> | <code>What specific provisions has the issuer made regarding the repayment of debt obligations?</code> |
| <code>sums realised by way of penalties to Consolidated Fund of India 23L. Appeal to Securities Appellate Tribunal 23M. Offences 23N. Composition of certain offences 23-O. Power to grant immunity 24. Contravention by companies 25. Certain offences to be cognizable 26. Cognizance of offences by courts 26A. Establishment of Special Courts 26B. Offences triable by Special Courts 26C. Appeal and revision 26D. Application of Code to proceedings before Special Court 26E. Transitional Provisions MISCELLANEOUS 27. Title to dividends 27A. Right to receive income from collective investment scheme 27B. Right to receive income from mutual fund 28. Act not to apply in certain cases 29. Protection of action taken in good faith 29A. Power to delegate 29B. Powers of Board not to apply to International Financial Services Centre 30. Power to make rules 30A. Special Provisions related to commodity derivatives 30B. Special provisions related to pooled investment vehicle 31. Power of Securities and Exchange Boar...</code> | <code>What powers does the Securities and Exchange Board of India have to make regulations according to the Securities Contracts (Regulation) Act, 1956?</code> |
| <code>the depository or the securities market as a result of the default; and (c) the repetitive nature of the default. ] CHAPTER X PROCEDURE FOR ACTION IN CASE OF DEFAULT Liability for action in case of default 92. Without prejudice to the power of the Board to take action, under the provisions of the Act and the Depositories Act, if a depository or a participant:- (a) contravenes any of the provisions of the Act, the Depositories Act, the bye-laws, agreements and these regulations; (b) fails to furnish any information relating to its activity as a depository or participant as required under these regulations; (c) does not furnish the information called for by the Board under clause (a) of sub-section (1) of section 18 of the Depositories Act or furnishes information which is false or misleading in any material particular; (d) does not co-operate in any inspection or investigation or enquiry conducted by the Board; (e) fails to comply with any direction of the Board issued under section 18 ...</code> | <code>What actions can the Board take against a depository or participant that fails to comply with the provisions of the Act or the Depositories Act?</code> |
* Loss: [<code>MatryoshkaLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#matryoshkaloss) with these parameters:
```json
{
"loss": "MultipleNegativesRankingLoss",
"matryoshka_dims": [
1024,
768,
512,
256,
128,
64
],
"matryoshka_weights": [
1,
1,
1,
1,
1,
1
],
"n_dims_per_step": -1
}
```
### Training Hyperparameters
#### Non-Default Hyperparameters
- `eval_strategy`: epoch
- `per_device_train_batch_size`: 32
- `per_device_eval_batch_size`: 16
- `gradient_accumulation_steps`: 16
- `learning_rate`: 2e-05
- `num_train_epochs`: 4
- `lr_scheduler_type`: cosine
- `warmup_ratio`: 0.1
- `bf16`: True
- `tf32`: True
- `load_best_model_at_end`: True
- `optim`: adamw_torch_fused
- `batch_sampler`: no_duplicates
#### All Hyperparameters
<details><summary>Click to expand</summary>
- `overwrite_output_dir`: False
- `do_predict`: False
- `eval_strategy`: epoch
- `prediction_loss_only`: True
- `per_device_train_batch_size`: 32
- `per_device_eval_batch_size`: 16
- `per_gpu_train_batch_size`: None
- `per_gpu_eval_batch_size`: None
- `gradient_accumulation_steps`: 16
- `eval_accumulation_steps`: None
- `torch_empty_cache_steps`: None
- `learning_rate`: 2e-05
- `weight_decay`: 0.0
- `adam_beta1`: 0.9
- `adam_beta2`: 0.999
- `adam_epsilon`: 1e-08
- `max_grad_norm`: 1.0
- `num_train_epochs`: 4
- `max_steps`: -1
- `lr_scheduler_type`: cosine
- `lr_scheduler_kwargs`: {}
- `warmup_ratio`: 0.1
- `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`: True
- `fp16`: False
- `fp16_opt_level`: O1
- `half_precision_backend`: auto
- `bf16_full_eval`: False
- `fp16_full_eval`: False
- `tf32`: True
- `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`: True
- `ignore_data_skip`: False
- `fsdp`: []
- `fsdp_min_num_params`: 0
- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
- `fsdp_transformer_layer_cls_to_wrap`: None
- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
- `deepspeed`: None
- `label_smoothing_factor`: 0.0
- `optim`: adamw_torch_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
- `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
- `eval_use_gather_object`: False
- `average_tokens_across_devices`: False
- `prompts`: None
- `batch_sampler`: no_duplicates
- `multi_dataset_batch_sampler`: proportional
</details>
### Training Logs
| Epoch | Step | Training Loss | dim_1024_cosine_ndcg@10 | dim_768_cosine_ndcg@10 | dim_512_cosine_ndcg@10 | dim_256_cosine_ndcg@10 | dim_128_cosine_ndcg@10 | dim_64_cosine_ndcg@10 |
|:-------:|:------:|:-------------:|:-----------------------:|:----------------------:|:----------------------:|:----------------------:|:----------------------:|:---------------------:|
| 1.0 | 3 | - | 0.6950 | 0.6944 | 0.6945 | 0.6609 | 0.6004 | 0.4757 |
| 2.0 | 6 | - | 0.6349 | 0.6287 | 0.6241 | 0.6079 | 0.5904 | 0.5322 |
| 3.0 | 9 | - | 0.6446 | 0.6382 | 0.6325 | 0.6192 | 0.5958 | 0.5304 |
| 3.3478 | 10 | 140.2842 | - | - | - | - | - | - |
| **4.0** | **12** | **-** | **0.6421** | **0.6434** | **0.6347** | **0.6197** | **0.604** | **0.5359** |
* The bold row denotes the saved checkpoint.
### Framework Versions
- Python: 3.11.11
- Sentence Transformers: 4.1.0
- Transformers: 4.52.3
- PyTorch: 2.7.0+cu126
- Accelerate: 1.7.0
- Datasets: 3.6.0
- Tokenizers: 0.21.1
## Citation
### BibTeX
#### Sentence Transformers
```bibtex
@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
```bibtex
@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
```bibtex
@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}
}
```
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