README.md

---
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) <!-- at revision 5c38ec7c405ec4b44b94cc5a9bb96e735b38267a -->
- **Maximum Sequence Length:** 512 tokens
- **Output Dimensionality:** 384 tokens
- **Similarity Function:** Cosine Similarity
<!-- - **Training Dataset:** Unknown -->
<!-- - **Language:** Unknown -->
<!-- - **License:** Unknown -->

### 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]
```

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<details><summary>Click to expand</summary>

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## Evaluation

### Metrics

#### Information Retrieval
* Dataset: `val_evaluator`
* Evaluated with [<code>InformationRetrievalEvaluator</code>](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     |

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## 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
<details><summary>Click to expand</summary>

- `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

</details>

### Training Logs
| Epoch      | Step   | Training Loss | loss      | val_evaluator_cosine_map@100 |
|:----------:|:------:|:-------------:|:---------:|:----------------------------:|
| **0.5172** | **15** | **2.0908**    | **1.008** | **0.6834**                   |
| 1.0        | 29     | -             | 1.0080    | 0.6834                       |

* The bold row denotes the saved checkpoint.

### Framework Versions
- Python: 3.10.14
- Sentence Transformers: 3.0.1
- Transformers: 4.43.4
- PyTorch: 2.4.1+cu121
- Accelerate: 0.33.0
- Datasets: 2.21.0
- Tokenizers: 0.19.1

## 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",
}
```

#### GISTEmbedLoss
```bibtex
@misc{solatorio2024gistembed,
    title={GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning}, 
    author={Aivin V. Solatorio},
    year={2024},
    eprint={2402.16829},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}
```

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