---
base_model: BAAI/bge-small-en-v1.5
datasets: []
language: []
library_name: sentence-transformers
metrics:
- cosine_accuracy@1
- cosine_accuracy@5
- cosine_accuracy@10
- cosine_precision@1
- cosine_precision@5
- cosine_precision@10
- cosine_recall@1
- cosine_recall@5
- cosine_recall@10
- cosine_ndcg@5
- cosine_ndcg@10
- cosine_ndcg@100
- cosine_mrr@5
- cosine_mrr@10
- cosine_mrr@100
- cosine_map@100
- dot_accuracy@1
- dot_accuracy@5
- dot_accuracy@10
- dot_precision@1
- dot_precision@5
- dot_precision@10
- dot_recall@1
- dot_recall@5
- dot_recall@10
- dot_ndcg@5
- dot_ndcg@10
- dot_ndcg@100
- dot_mrr@5
- dot_mrr@10
- dot_mrr@100
- dot_map@100
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:900
- loss:GISTEmbedLoss
widget:
- source_sentence: How does the Equity Grant contribute to the creditworthiness of
FPOs?
sentences:
- ''' Date……………………………… ……………………………… Signature of Branch Manager with branch seal Name……………………………………
… Designation …………………………………… ……………………………… ……………………………… Signature of Authorized
Person in zonal office Name………………………………… Designation …………………………………… 5. Promoter''s
request letter List of Enclosures 1. Recommendation 9. List of shareholders addressed
to the Bank Manager on original letter head of FPO confirmed by promoter and
bank with amount of CGC sought on Bank''s Original letterhead with date and
dispatch number duly signed by the Branch Manager on each page. 2. Sanction letter
of 6. Implementation Schedule 10. Affidavit of promoters that confirmed by
the bank. they have not availed CGC from any other institution for sanctioned
Credit Facility. sanctioning authority addressed to recommending branch. 3.
Bank''s approved 7. Up-to-date statement of account of 11. Field inspection
report of Term loan and Cash Credit (if Sanctioned). Bank official as on recent
date. Appraisal/Process note bearing signature of sanctioning authority. 4.
Potential Impact on 8. a).Equity Certificate, C.A/CS * Pin Code at Column No.
1. a), certificate/RCS certificate 2. b), 2. c), 4. a) and 9. a) is Mandatory b).
FORM-2, FORM-5 and FORM-23 filed with ROC for Company/RCS. small farmer producers 1.
Social Impact, 2. Environmental Impact 3.'''
- '''i. Shareholder List and Share Capital contribution by each Member verified
and certified by a Chartered Accountant (CA) prior to submission (Format attached,
Annexure I- Enclosure-I). ii. Resolution of FPO Board/Governing Council to seek
Equity Grant for Members (Format attached, Annexure I- Enclosure-II). iii. Consent
of Shareholders, stating name of shareholder, gender, number of shares held, face
value of shares, land holding, and signature, signifying consent for Implementing
Agency to directly transfer the Equity Grant sanctioned to the FPC on their behalf,
to FPC Bank account, against the consideration of additional shares of equivalent
value to be issued to them by FPC and on exit- transfer of the shares as per rules
(Format attached, Annexure I-Enclosure-III). iv. Audited Financials of FPO for
a minimum 1 year/for all years of existence of the FPO if formed less than three
years prior to application/ for the last 3 years for FPO in existence for 3 years
or more, verified and certified by a Chartered Accountant (CA) prior to submission.
v. Photocopy of FPO Bank Account Statement for last six months authenticated by
Branch Manager. vi. Business plan and budget for next 18 months. vii. Names, photographs,
and identity proof (one from among ration card, Aadhaar card, election identification
card, and passport of Representatives/ Directors authorized by the Board for executing
and signing all documents under the Scheme. viii. Each page of Application Form and
accompanying documents should be signed by a minimum of two Board Member Authorised
Representatives of FPO;'''
- '''11.1 Producer members'' own equity supplemented by a matching Equity Grant
from Government, which is required to strengthen financial base of FPOs and help
them to get credit from financial institutions for their projects and working
capital requirements for business development. Equity Grant shall be in the form
of matching grant upto Rs. 2,000 per farmer member of FPO subject to maximum limit
of Rs. 15.00 lakh fixed per FPO. This Equity Grant is not in the form of government
participation in equity, but only as a matching grant to the FPOs as farmer members''
equity. Therefore, Rs.1,500 crore with DAC&FW is proposed in the scheme to cover
all the 10,000 FPOs, if maximum permissible equity is contributed to all 10,000
FPOs. 11.2 **Objectives of Equity Grant:** The objectives of Equity Grant are to
(i) enhance viability and sustainability of FPOs; (ii) increase credit worthiness
of FPOs; and (iii) enhance shareholding of members to increase their ownership
and participation in their FPO. 11.3 **Eligibility Criteria for FPOs:** An FPO
fulfilling following criteria shall be eligible to apply for Equity Grant under
the Scheme- (i) It shall be a legal entity as per para 2 of this guidelines.
(ii) It has raised equity from its Members as laid down in its Articles of Association/
Bye laws, as the case may be. (iii) The number of its Individual Shareholders
is in accordance with the terms hereto read together with the Scheme. (iv) Minimum
50% of its shareholders are small, marginal and landless tenant farmers as defined
by the Agriculture Census carried out periodically by the Ministry of Agriculture,
GoI. Women farmers'' participation as its shareholders is to be preferred. (v)
Maximum shareholding by any one member shall not be more than 10% of total equity
of the FPO.'''
- source_sentence: What is the purpose of the National Crop Insurance Portal?
sentences:
- '''i. Shareholder List and Share Capital contribution by each Member verified
and certified by a Chartered Accountant (CA) prior to submission (Format attached,
Annexure I- Enclosure-I). ii. Resolution of FPO Board/Governing Council to seek
Equity Grant for Members (Format attached, Annexure I- Enclosure-II). iii. Consent
of Shareholders, stating name of shareholder, gender, number of shares held, face
value of shares, land holding, and signature, signifying consent for Implementing
Agency to directly transfer the Equity Grant sanctioned to the FPC on their behalf,
to FPC Bank account, against the consideration of additional shares of equivalent
value to be issued to them by FPC and on exit- transfer of the shares as per rules
(Format attached, Annexure I-Enclosure-III). iv. Audited Financials of FPO for
a minimum 1 year/for all years of existence of the FPO if formed less than three
years prior to application/ for the last 3 years for FPO in existence for 3 years
or more, verified and certified by a Chartered Accountant (CA) prior to submission.
v. Photocopy of FPO Bank Account Statement for last six months authenticated by
Branch Manager. vi. Business plan and budget for next 18 months. vii. Names, photographs,
and identity proof (one from among ration card, Aadhaar card, election identification
card, and passport of Representatives/ Directors authorized by the Board for executing
and signing all documents under the Scheme. viii. Each page of Application Form and
accompanying documents should be signed by a minimum of two Board Member Authorised
Representatives of FPO;'''
- '''i. \''Credit Facility\'' means any fund based credit facility extended by
an Eligible Lending Institution (ELI) to an Eligible Borrower without any Collateral
Security or Third Party Guarantee ; ii. \''Credit Guarantee Fund\'' means the
Credit Guarantee Fund for FPOs created with NABARD and NCDC respectively under
the Scheme with matching grant from DAC&FW for the purpose of extending guarantee
to the eligible lending institution(s) against their collateral free lending to eligible
FPOs; iii. \''Eligible Lending Institution (ELI)\'' means a Scheduled Commercial
Bank for the time being included in the second Schedule to the Reserve Bank of
India Act, 1934, Regional Rural Banks, Co-operative Banks, Cooperative Credit Society,
NEDFI, or any other institution (s) as may be decided by the NABARD and/or NCDC,
as the case may be, in consultation with Government of India from time to time.
NABARD and NCDC can also finance, if they so desire with the approval of DAC&FW/N-PMFSC.
NBFCs and such other financing institutions with required net worth and track
record may also serve as Eligible Lending Institutions (ELIs), for lending to
FPOs with a moderate spread between their cost of capital and lending rate. However,
Standard Financial Sector Rating Agency should have rated NBFC **to be AAA**
to be considered as ELI; iv. \''Guarantee Cover\'' means maximum cover available
per eligible FPO borrower; v. \''Guarantee Fee\'' means the onetime fee at
a specified rate of the eligible credit facility sanctioned by the ELI, payable
by the ELI to NABARD or NCDC, as the case may be; and vi.'''
- ''' 2.7 Secured credential/login, preferably linked with Aadhaar Number and
mobile OTP based, for all Stakeholders viz, Central Government, State Governments,
Banks, empanelled Insurance Companies and their designated field functionaries
will be provided on the Portal to enable them to enter/upload/download the
requisite information. 2.8 Insurance Companies shall not distribute/collect/allow
any other proforma/utility/web Portal etc for collecting details of insured
farmers separately. However they may provide all requisite support to facilitate
Bank Branches/PACS for uploading the farmer''s details on the Portal well within
the prescribed cut-off dates. 2.9 Only farmers whose data is uploaded on
the National Crop Insurance Portal shall be eligible for Insurance coverage
and the premium subsidy from State and Central Govt. will be released accordingly. 2.10 All
data pertaining to crop-wise, area-wise historical yield data, weather data, sown
area, coverage and claims data, calamity years and actual yield shall be made
available on the National Crop Insurance Portal for the purpose of premium
rating, claim calculation etc. 2.11 Banks/Financial Institutions/other intermediaries
need to compulsorily transfer the individual farmer''s data electronically
to the National Crop Insurance Portal. Accordingly Banks/FIs may endeavour to undertake
CBS integration in a time bound manner for real time transfer of information/data. 2.12 It
is also proposed to develop an integrated platform/portal for both PMFBY and Interest
Subvention Scheme. The data/information of both the Schemes shall be auto synchronized
to enable real time sharing of information and better program monitoring. 2.13 Insurance
Companies shall compulsorily use technology/mobile applications for monitoring
of crop health/Crop Cutting Experiments (CCEs) in coordination with concerned
States. States shall also facilitate Insurance Companies with Satellite Imagery/Usage
of Drones by way of prior approval of agency from which such data can be sourced.
This is required for better monitoring and ground- truthing.'''
- source_sentence: What should the business plan of an FPO be based on?
sentences:
- '''First installment due on (date) : ii). Last Installment due on (date)
: 6. b). Cash Credit : Limit: Drawing Power: Outstanding: Comments
on Irregularity ( if any): Any adverse comments on the unit by inspecting
official in last inspection report: 7. A. Cost of Project (as accepted by
sanctioning authority)(In Rs. Lakh) B. Means of Finance (as accepted by sanctioning
authority)(In Rs. Lakh) Give component wise details a. Term loan of Bank: b.
Promoter Equity c. Unsecured loan : d. Others if any Total Total 8. A.
Forward Linkages: B. Backward Linkages with Small/Marginal farmers: 1 No.
of members: 2 Details of Primary and Collateral Securities taken by the
bank (if any) 3 a. Primary Securities b. Collateral Securities 4 5 6 (Please
enclose details separately) 9 NameoftheConsortium(ifany)associatedwithCreditFacilitywithcompleteaddress,contac
t details and email: 9 a) Address (*with pin-code) : 9 b) Contact Details
: 9 c) Email Address : Request of Branch head for Credit Guarantee:- In
view of the above information, we request Credit Guarantee Cover against Credit
Facility of Rs.....................(in Rupees ) to FPO(copy of sanction letter
along with appraisal/process note of competent authority is enclosed for your
perusal and record ). Further we confirm that : 1. The KYC norms in respect of
the Promoters have been complied by us. 2. Techno-feasibility and economic viability
aspect of the project has been taken care of by the sanctioning authority and
the branch. 3. On quarterly basis, bank will apprise the ........................(Name
of Implementing Agency)about progress of unit, recovery of bank''s dues and present
status of account to........................(Name of Implementing Agency) 4.
We undertake to abide by the Terms & Conditions of the Scheme.'''
- '''19.1 It has been seen, during first two years of implementation of PMFBY,
there are various types of yield disputes, which unnecessarily delays the claim
settlement. Following figure shows the procedures to be adopted in various cases. Figure.
Procedures to be followed in different yield dispute cases 19.2 Wherever
the yield estimates reported at IU level are abnormally low or high vis-à-vis
the general crop condition the Insurance Company in consultation with State Govt.
can make use of various products (e.g. Satellite based Vegetation Index, Weather
parameters, etc.) or other technologies (including statistical test, crop models
etc.) to confirm yield estimates. If Insurance Company witnesses any anomaly/deficiency
in the actual yield data(partial /consolidated) received from the State Govt.,
the same shall be brought into the notice of concerned State department within
7 days from date of receipt of yield data with specific observations/remarks under
intimation to Govt. of India and anomaly, if any, may be resolved in next 7 days
by the State Level Coordination Committee (SLCC) headed by Additional Chief
Secretary/Principal Secretary/Secretary of the concerned department. This committee
shall be authorized to decide all such cases and the decision in such cases shall
be final. The SLCC may refer the case to State Level Technical Advisory Committee
(STAC) for dispute resolution (Constitution of STAC is defined in Para 19.5).
In case the matter stands unresolved even after examination by STAC, it may be
escalated to TAC along with all relevant documents including minutes of meetings/records
of discussion and report of the STAC and SLCC. Reference to TAC can be made thereafter
only in conditions specified in Para 19.7.1 However, data with anomalies which
is not reported within 7 days will be treated as accepted to insurance company.'''
- ''' (vi) A farmer can be member in more than one FPO with different produce clusters
but he/she will be eligible only once(for any one FPO that he/she is a member)
for the matching equity grant up to his/her share. (vii) In the Board of Directors
(BoD) and Governing Body (GB), as the case may be, there shall be adequate representation
of women farmer member(s) and there should be minimum one woman member. (viii) It
has a duly constituted Management Committee responsible for the business of the
FPO. (ix) It has a business plan and budget for next 18 months that is based
on a sustainable, revenue model as may be determined by the Implementing Agency.'''
- source_sentence: How often does DAC&FW release advances to Implementing Agencies?
sentences:
- '''| Picking 1 | Picking 2 |
Picking 4 |\n|-------------------------------------------------------|----------------|--------------|\n|
Total Yield Kg) | | |\n|
Picking 3 | | |\n|
Yield (Kg) | | |\n|
Crop | Experiment no. | |\n|
Yield | | |\n|
(Kg) | | |\n|
Yield | | |\n|
(Kg) | | |\n|
Yield | | |\n|
(Kg) | | |\n|
P1 | P2 | P3 |\n|
Well Conducted CCEs in the Taluka with 4 pickings | | |\n|
Cotton | E1 | 1 |\n|
Cotton | E2 | 1 |\n|
Cotton | E3 | 0.75 |\n|
Cotton | E4 | 0.8 |\n|
Cotton | E5 | 0.95 |\n| |
Average | 0.9 |\n| 6.373 |
2.128 | 1.282 |\n| (1 | | |\n|
st | | |\n|
+ 2 | | |\n|
nd | | |\n|
+3 | | |\n|
rd | | |\n| | | |\n|
Factor (Total yield/ | | |\n|
Picking Yield) | | |\n| | | |\n|
(1 | | |\n|
st | | |\n|
) | (1 | |\n|
st | | |\n|
+ | | |\n|
2 | | |\n|
nd | | |\n|
) | ) | |\n|
CCEs with Less Pickings in any IU within that Taluka | | |\n|
Cotton | E6 (only 1 | |\n|
st | | |\n|
Picking) | 1 | |\n|
Cotton | E7 (1 | |\n|
st | | |\n|
and 2 | | |\n|
nd | | |\n|
Picking) | 1.2 | 1.75 |\n|
Cotton | E8 (1 | |\n|
st | | |\n|
, 2 | | |\n|
nd | | |\n|
& 3 | | |\n|
rd | | |\n|
Picking) | 1.1 | 1.85 |'''
- '''8.2.1 DAC&FW will make the advance release to the Implementing Agencies (IAs)
on six monthly basis based on recommendation of N-PMAFSC, Annual Action Plan
(AAP) of IAs and the due utilization certificate submitted to meet out the expenses
for engaging NPMA, FPO formation & incubation cost to CBBO and also meeting out
the cost of FPO management cost direct to concerned FPOs account on recommendation
of concerned CBBO and Equity Grant etc. for effective and timely implementation
of the programme. The Implementing Agencies will develop the payment schedule
based on their various stages and component of payment involved. The Implementing
Agencies will raise the demand to DAC&FW for release of payment. The Implementing
Agencies will submit utilization certificate of last payment released as per GFR
for releasing the next payment to them. In case of training, NABARD and NCDC will
submit to N- PMAFSC the training schedule for a year with tentative expenditure
for training through specialised training institutes organised through their
respective nodal training Institute. DAC&FW will make due payment to NABARD and
NCDC for training through specialised Institutions based on the demand raised
by NABARD and NCDC respectively and utilisation certificate will be submitted
to DAC&FW by both as due. Further, as regards DAC&FW''s share towards Credit Guarantee
Fund (CGF) to be maintained and managed by NABARD and NCDC, the DAC&FW will provide
its matching share to NABARD and NCDC, as the case may be, which in turn will
submit detailed status of utilization to DAC&FW before raising the further demand
for next installment of CGF.'''
- '''7.5.1 Only those AWS/ARGs of IMD/State Govt. /private agencies should be
considered and notified which are as per standards defined by IMD/WMO and are
certified and approved by IMD/any agency to be notified by the State/Central
govt. These must be optimally operational and be able to provide real time weather
data. AWS/ARG of private agencies should only be considered in absence of properly functioning
AWS/ARGs of IMD/ State Govt. AWS /ARG data sourced for crop insurance should be transferred
on real time basis to National Portal. The detailed guidelines for sharing of
weather data on the Portal will be circulated separately. 7.5.2 State govt
can explore the possibility to create dense AWS/ARG network on PPP Mode for which
GOI will provide 50% of the viability gap funding. 7.5.3 The following data
sources may be used for validation of on account claims and claims for prevented sowing:'''
- source_sentence: Who is considered as the nodal agency for engagement with the Ministry
of Agriculture and Farmers Welfare and Insurance Companies?
sentences:
- '''8.2.1 DAC&FW will make the advance release to the Implementing Agencies (IAs)
on six monthly basis based on recommendation of N-PMAFSC, Annual Action Plan
(AAP) of IAs and the due utilization certificate submitted to meet out the expenses
for engaging NPMA, FPO formation & incubation cost to CBBO and also meeting out
the cost of FPO management cost direct to concerned FPOs account on recommendation
of concerned CBBO and Equity Grant etc. for effective and timely implementation
of the programme. The Implementing Agencies will develop the payment schedule
based on their various stages and component of payment involved. The Implementing
Agencies will raise the demand to DAC&FW for release of payment. The Implementing
Agencies will submit utilization certificate of last payment released as per GFR
for releasing the next payment to them. In case of training, NABARD and NCDC will
submit to N- PMAFSC the training schedule for a year with tentative expenditure
for training through specialised training institutes organised through their
respective nodal training Institute. DAC&FW will make due payment to NABARD and
NCDC for training through specialised Institutions based on the demand raised
by NABARD and NCDC respectively and utilisation certificate will be submitted
to DAC&FW by both as due. Further, as regards DAC&FW''s share towards Credit Guarantee
Fund (CGF) to be maintained and managed by NABARD and NCDC, the DAC&FW will provide
its matching share to NABARD and NCDC, as the case may be, which in turn will
submit detailed status of utilization to DAC&FW before raising the further demand
for next installment of CGF.'''
- ''' 13.4 Laxmanrao Imandar National Academy for Co-operative Research & Development
(LINAC), Gurugram promoted by NCDC is designated as Nodal Training Institution
at central level for FPOs registered under Co-operative Societies Act and promoted
by NCDC. The LINAC will work in partnership with other reputed national and regional
training institutions like NIAM, VAMNICOM, MANAGE, NIRD, NCCT, IRMA, ASCI, State
and Central Agriculture Universities, KVK, very reputed National level Management
and Skill Development Institutions/Universities etc. The LINAC in consultation
with NCDC and DAC&FW will prepare a training module and training schedule for
the ensuing year, which will be got approved by N-PMAFSC. As regards training
expenses, in case of LINAC being nodal agency, the LINAC through NCDC will claim
the expenses from DAC&FW and will also submit the utilization certificate through
NCDC after the training programme is over. 13.5 DAC&FW in due course may also
identify and designate other training institute(s) as additional Nodal Training
Institute at central level, which will undertake training and skill development
partnering with other national and regional level institutes. 13.6 The central
Nodal Training Institutes will ensure that training programme be held preferably
in same State/UT wherein FPO trainees located are proposed to participate to reduce
the burden on transportation(TA/DA) cost. While formulating the training schedule,
Nodal Training Institutes will ensure that BoDs, CEOs/Managers and other stakeholders
etc. are trained twice in a year. Nodal Training Institutes will have to make
boarding and lodging arrangements for the trainees and will also reimburse to
and fro journey tickets to the extent of sleeper class train tickets and/or ordinary
bus fare. Nodal Training Institutions will also evolve methodology to monitor
and track the performance of trainees and their FPO organization to ensure effectiveness
of training being provided.'''
- '''8.1 CSCs under Ministry of Electronics and Information Technology (MeITY)
have been engaged to enrol non-loanee farmers. The Insurance Companies are
required to enter into a separate agreement with CSC and pay service charges
as fixed by DAC&FW, GOI per farmer per village per season. No other agreement
or payment is required to be made for this purpose. Nodal agency for engagement
with Ministry of Agriculture and Farmers Welfare and Insurance Companies will
be CSC-SPV, a company established under MeITY for carrying out e-governance
initiatives of GoI. 8.2 No charges/fee shall be borne or paid by the farmers
being enrolled through CSCs i.e. CSC-SPV and CSC-VLE 8.3 As per IRDA circular,
no separate qualification/certification will be required for the VLEs of CSCs
to facilitate enrolment of non-loanee farmers. 8.4 All empanelled Insurance
Companies will compulsorily be required to enter into an agreement with CSC
for enrolment of non-loanee farmers and for provision of other defined services
to farmers. 8.5 Other designated intermediaries may be linked with the Portal
in due course. 8.6 Empanelled Insurance Companies have to necessarily register
on the portal and submit list and details of agents/intermediaries engaged
for enrolment of non-loanee farmers in the beginning of each season within
10 days of award of work in the State. Further all agents/intermediaries have
to work strictly as per the provisions of the Scheme and IRDA regulations'''
model-index:
- name: SentenceTransformer based on BAAI/bge-small-en-v1.5
results:
- task:
type: information-retrieval
name: Information Retrieval
dataset:
name: val evaluator
type: val_evaluator
metrics:
- type: cosine_accuracy@1
value: 0.51
name: Cosine Accuracy@1
- type: cosine_accuracy@5
value: 0.9
name: Cosine Accuracy@5
- type: cosine_accuracy@10
value: 0.96
name: Cosine Accuracy@10
- type: cosine_precision@1
value: 0.51
name: Cosine Precision@1
- type: cosine_precision@5
value: 0.17999999999999997
name: Cosine Precision@5
- type: cosine_precision@10
value: 0.096
name: Cosine Precision@10
- type: cosine_recall@1
value: 0.51
name: Cosine Recall@1
- type: cosine_recall@5
value: 0.9
name: Cosine Recall@5
- type: cosine_recall@10
value: 0.96
name: Cosine Recall@10
- type: cosine_ndcg@5
value: 0.7319026681359824
name: Cosine Ndcg@5
- type: cosine_ndcg@10
value: 0.7503025597337694
name: Cosine Ndcg@10
- type: cosine_ndcg@100
value: 0.7590365063330959
name: Cosine Ndcg@100
- type: cosine_mrr@5
value: 0.6745
name: Cosine Mrr@5
- type: cosine_mrr@10
value: 0.6815000000000002
name: Cosine Mrr@10
- type: cosine_mrr@100
value: 0.6834441946057421
name: Cosine Mrr@100
- type: cosine_map@100
value: 0.6834441946057419
name: Cosine Map@100
- type: dot_accuracy@1
value: 0.51
name: Dot Accuracy@1
- type: dot_accuracy@5
value: 0.9
name: Dot Accuracy@5
- type: dot_accuracy@10
value: 0.96
name: Dot Accuracy@10
- type: dot_precision@1
value: 0.51
name: Dot Precision@1
- type: dot_precision@5
value: 0.17999999999999997
name: Dot Precision@5
- type: dot_precision@10
value: 0.096
name: Dot Precision@10
- type: dot_recall@1
value: 0.51
name: Dot Recall@1
- type: dot_recall@5
value: 0.9
name: Dot Recall@5
- type: dot_recall@10
value: 0.96
name: Dot Recall@10
- type: dot_ndcg@5
value: 0.7319026681359824
name: Dot Ndcg@5
- type: dot_ndcg@10
value: 0.7503025597337692
name: Dot Ndcg@10
- type: dot_ndcg@100
value: 0.7590365063330959
name: Dot Ndcg@100
- type: dot_mrr@5
value: 0.6745
name: Dot Mrr@5
- type: dot_mrr@10
value: 0.6815000000000002
name: Dot Mrr@10
- type: dot_mrr@100
value: 0.6834441946057421
name: Dot Mrr@100
- type: dot_map@100
value: 0.6834441946057419
name: Dot Map@100
---
# SentenceTransformer based on BAAI/bge-small-en-v1.5
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5). It maps sentences & paragraphs to a 384-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:** [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5)
- **Maximum Sequence Length:** 512 tokens
- **Output Dimensionality:** 384 tokens
- **Similarity Function:** Cosine Similarity
### Model Sources
- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)
### Full Model Architecture
```
SentenceTransformer(
(0): Transformer({'max_seq_length': 512, 'do_lower_case': True}) with Transformer model: BertModel
(1): Pooling({'word_embedding_dimension': 384, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
(2): Normalize()
)
```
## 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("SamagraDataGov/embedding_finetuned_test")
# Run inference
sentences = [
'Who is considered as the nodal agency for engagement with the Ministry of Agriculture and Farmers Welfare and Insurance Companies?',
"'8.1 CSCs under Ministry of Electronics and Information Technology (MeITY) have been engaged to enrol non-loanee farmers. The Insurance Companies are required to enter into a separate agreement with CSC and pay service charges as fixed by DAC&FW, GOI per farmer per village per season. No other agreement or payment is required to be made for this purpose. Nodal agency for engagement with Ministry of Agriculture and Farmers Welfare and Insurance Companies will be CSC-SPV, a company established under MeITY for carrying out e-governance initiatives of GoI. 8.2 No charges/fee shall be borne or paid by the farmers being enrolled through CSCs i.e. CSC-SPV and CSC-VLE 8.3 As per IRDA circular, no separate qualification/certification will be required for the VLEs of CSCs to facilitate enrolment of non-loanee farmers. 8.4 All empanelled Insurance Companies will compulsorily be required to enter into an agreement with CSC for enrolment of non-loanee farmers and for provision of other defined services to farmers. 8.5 Other designated intermediaries may be linked with the Portal in due course. 8.6 Empanelled Insurance Companies have to necessarily register on the portal and submit list and details of agents/intermediaries engaged for enrolment of non-loanee farmers in the beginning of each season within 10 days of award of work in the State. Further all agents/intermediaries have to work strictly as per the provisions of the Scheme and IRDA regulations'",
"' 13.4 Laxmanrao Imandar National Academy for Co-operative Research & Development (LINAC), Gurugram promoted by NCDC is designated as Nodal Training Institution at central level for FPOs registered under Co-operative Societies Act and promoted by NCDC. The LINAC will work in partnership with other reputed national and regional training institutions like NIAM, VAMNICOM, MANAGE, NIRD, NCCT, IRMA, ASCI, State and Central Agriculture Universities, KVK, very reputed National level Management and Skill Development Institutions/Universities etc. The LINAC in consultation with NCDC and DAC&FW will prepare a training module and training schedule for the ensuing year, which will be got approved by N-PMAFSC. As regards training expenses, in case of LINAC being nodal agency, the LINAC through NCDC will claim the expenses from DAC&FW and will also submit the utilization certificate through NCDC after the training programme is over. 13.5 DAC&FW in due course may also identify and designate other training institute(s) as additional Nodal Training Institute at central level, which will undertake training and skill development partnering with other national and regional level institutes. 13.6 The central Nodal Training Institutes will ensure that training programme be held preferably in same State/UT wherein FPO trainees located are proposed to participate to reduce the burden on transportation(TA/DA) cost. While formulating the training schedule, Nodal Training Institutes will ensure that BoDs, CEOs/Managers and other stakeholders etc. are trained twice in a year. Nodal Training Institutes will have to make boarding and lodging arrangements for the trainees and will also reimburse to and fro journey tickets to the extent of sleeper class train tickets and/or ordinary bus fare. Nodal Training Institutions will also evolve methodology to monitor and track the performance of trainees and their FPO organization to ensure effectiveness of training being provided.'",
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 384]
# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]
```
## Evaluation
### Metrics
#### Information Retrieval
* Dataset: `val_evaluator`
* Evaluated with [InformationRetrievalEvaluator](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator)
| Metric | Value |
|:--------------------|:-----------|
| cosine_accuracy@1 | 0.51 |
| cosine_accuracy@5 | 0.9 |
| cosine_accuracy@10 | 0.96 |
| cosine_precision@1 | 0.51 |
| cosine_precision@5 | 0.18 |
| cosine_precision@10 | 0.096 |
| cosine_recall@1 | 0.51 |
| cosine_recall@5 | 0.9 |
| cosine_recall@10 | 0.96 |
| cosine_ndcg@5 | 0.7319 |
| cosine_ndcg@10 | 0.7503 |
| cosine_ndcg@100 | 0.759 |
| cosine_mrr@5 | 0.6745 |
| cosine_mrr@10 | 0.6815 |
| cosine_mrr@100 | 0.6834 |
| **cosine_map@100** | **0.6834** |
| dot_accuracy@1 | 0.51 |
| dot_accuracy@5 | 0.9 |
| dot_accuracy@10 | 0.96 |
| dot_precision@1 | 0.51 |
| dot_precision@5 | 0.18 |
| dot_precision@10 | 0.096 |
| dot_recall@1 | 0.51 |
| dot_recall@5 | 0.9 |
| dot_recall@10 | 0.96 |
| dot_ndcg@5 | 0.7319 |
| dot_ndcg@10 | 0.7503 |
| dot_ndcg@100 | 0.759 |
| dot_mrr@5 | 0.6745 |
| dot_mrr@10 | 0.6815 |
| dot_mrr@100 | 0.6834 |
| dot_map@100 | 0.6834 |
## Training Details
### Training Hyperparameters
#### Non-Default Hyperparameters
- `eval_strategy`: steps
- `per_device_train_batch_size`: 32
- `per_device_eval_batch_size`: 32
- `learning_rate`: 1e-05
- `weight_decay`: 0.01
- `num_train_epochs`: 1.0
- `warmup_ratio`: 0.1
- `load_best_model_at_end`: True
#### All Hyperparameters
Click to expand
- `overwrite_output_dir`: False
- `do_predict`: False
- `eval_strategy`: steps
- `prediction_loss_only`: True
- `per_device_train_batch_size`: 32
- `per_device_eval_batch_size`: 32
- `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`: 1e-05
- `weight_decay`: 0.01
- `adam_beta1`: 0.9
- `adam_beta2`: 0.999
- `adam_epsilon`: 1e-08
- `max_grad_norm`: 1.0
- `num_train_epochs`: 1.0
- `max_steps`: -1
- `lr_scheduler_type`: linear
- `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`: False
- `fp16`: False
- `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`: 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
- `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`: False
- `hub_always_push`: False
- `gradient_checkpointing`: False
- `gradient_checkpointing_kwargs`: None
- `include_inputs_for_metrics`: False
- `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
- `dispatch_batches`: None
- `split_batches`: 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
- `eval_use_gather_object`: False
- `batch_sampler`: batch_sampler
- `multi_dataset_batch_sampler`: proportional