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 can I contact the National Co-operative Development Corporation?
  sentences:
  - '''1.1 Chhattisgarh is among the few states in India that have recorded impressive
    growth in agriculture in recent years. Development of farmers own institutions
    catering to their various needs, has kept pace with the agricultural growth. As
    on 30 September 2014, the state had 3,679 farmers clubs (FCs). There were eight
    federations of farmer clubs in the state, five in Mahasamund, two in Bilaspur
    and one in Mungeli district. In Bilaspur and Mungeli districts (the study area),
    300 FCs were formed, of which 201 were active. Majority of the farmer clubs (129
    clubs) were formed by the Regional Rural Bank (Gramin Bank). Other promoting institutions
    include Chhattisgarh Agricon Samiti (30), CARMDAKSH (12), SBI (12), ARDB (8) and
    IFFDC (5). While all the clubs were active in the initial three years, many slipped
    into dormancy through inaction and non-availability of hand-holding support. These
    clubs did not have any vision or roadmap for the future. 1.2 The Chhattisgarh
    RO and DDM Bilaspur were keen to make the farmer clubs a sustainable entity and
    felt the need to federate the clubs to a higher tier so as to make the entire
    farmer clubs programme sustainable and the organization a viable model. With this
    in view, the farmer clubs were federated into four farmer club federations and
    were registered under ''Chhattisgarh Society Registrikaran Adhiniyam, 1973'' in
    the year 2012.'''
  - '''10.1 Under the scheme, financial support to Farmer Producer Organization (FPO)      @
    up to maximum of Rs. 18 lakh / FPO or actual, whichever is lesser is to be provided
    during three years from the year of formation. The financial support is not meant
    for reimbursing the entire administrative and management cost of FPO but it is
    to provide the financial support to the FPOs to the extent provided  to  make
    them sustainable and economically viable. Hence, the fourth year onwards of formation,
    the FPO has to manage their financial support from their own business activities.
    The indicative financial support broadly covers (i) the support for salary of
    its CEO/Manager (maximum up to Rs.25000/month) and Accountant (maximum up to Rs.
    10000/month); (ii) one time registration cost(one time up to  maximum Rs. 40000
    or actual whichever is lower); (iii) office rent (maximum up to Rs. 48,000/year);
    (iv) utility charges (electricity and telephone charges of office of FPO maximum
    up to Rs. 12000/year); (v) one-time cost for minor equipment (including furniture
    and fixture maximum up to Rs. 20,000); (vi) travel and meeting cost (maximum up
    to Rs.18,000/year); and (vii) misc. (cleaning, stationery etc. maximum up to Rs.
    12,000/year). Any expenditure of operations, management, working capital requirement
    and infrastructure development etc., over and above this, will be met by the FPOs
    from their financial resources.  10.2 FPO being organization of farmers, it does
    not become feasible for FPO itself to  professionally administer its activities
    and day to day business, therefore, FPO requires some professionally equipped
    Manager/CEO to administer its activities and day to day business with a sole objective
    to make FPO economically sustainable and farmers'' benefiting agri-enterprise.
    Not only for business  development but the value of professional is immense in
    democratizing the FPOs and strengthening its governing system.'''
  - '''Risk Analysis    For further information, please contact: Chief General Manager,
    Managing Director Small Farmers'' Agri- Business Consortium, National Bank for
    Agriculture & Rural Head office, NCUI Auditorium Development, **NABARD**, Building
    C-24, ''G'' Block, 5th floor, 3, Siri Institutional Area Bandra-Kurla Complex,
    August Kranti Marg, Hauz Bandra East, Khas, Mumbai - 400051 New Delhi-110016 Tel:
    022- Tel: 011-41060075, 26966017 26539530,26539500 e-mail: [email protected] Website:
    www.sfacindia.com [email protected], [email protected] Website: www.nabard.org
    Agriculture Marketing Adviser Directorate of Marketing & Inspection DAC&FW, New
    CGO Complex, NH-IV, Faridabad - 121001 Tel: 0129- 2412518 e-mail: [email protected]
    Website: www.dmi.gov.in Managing Director National Co-operative Development Corporation,
    **NCDC**, 4-Siri Institutional Area, Hauz Khas, New Delhi - 110016 Tel: 011- 26960796,
    26567140 e-mail:  e-mail: [email protected] Website: www.ncdc.in Agricultural Marketing
    Division Department of Agriculture, Co-operation & Farmers'' Welfare Ministry
    of Agriculture & Farmers'' Welfare Krishi Bhawan, New Delhi-110001 Tel: 011-23386235,
    23388579 Website: www.agricoop.nic.in'''
- source_sentence: Are any qualifications or certifications required for the VLEs
    of CSCs in facilitating the enrollment of non-loanee farmers?
  sentences:
  - '''13.3.1   Insurance company shall take all necessary steps to take appropriate
    reinsurance cover for their portfolio in order to safeguard insured''s interest.
    In case premium to claims ratio exceeds 1:3.5 or percentage of claims to Sum Insured
    exceeds 35%, whichever is higher, at the National Level in a crop  season, then
    Govt. will provide protection to Insurance Companies. The losses exceeding the
    above mentioned level in the crop season would be met from equal contribution
    of the Central Govt. and the  concerned State/UT Govts. In case losses are below
    the above mentioned condition, insurers shall be responsible to settle the admissible
    claims.'''
  - '''| 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         |'''
  - '''8.1    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'''
- source_sentence: How many federations of farmer clubs are there in Chhattisgarh?
  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;'''
  - '''  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.'''
  - '''1.1 Chhattisgarh is among the few states in India that have recorded impressive
    growth in agriculture in recent years. Development of farmers own institutions
    catering to their various needs, has kept pace with the agricultural growth. As
    on 30 September 2014, the state had 3,679 farmers clubs (FCs). There were eight
    federations of farmer clubs in the state, five in Mahasamund, two in Bilaspur
    and one in Mungeli district. In Bilaspur and Mungeli districts (the study area),
    300 FCs were formed, of which 201 were active. Majority of the farmer clubs (129
    clubs) were formed by the Regional Rural Bank (Gramin Bank). Other promoting institutions
    include Chhattisgarh Agricon Samiti (30), CARMDAKSH (12), SBI (12), ARDB (8) and
    IFFDC (5). While all the clubs were active in the initial three years, many slipped
    into dormancy through inaction and non-availability of hand-holding support. These
    clubs did not have any vision or roadmap for the future. 1.2 The Chhattisgarh
    RO and DDM Bilaspur were keen to make the farmer clubs a sustainable entity and
    felt the need to federate the clubs to a higher tier so as to make the entire
    farmer clubs programme sustainable and the organization a viable model. With this
    in view, the farmer clubs were federated into four farmer club federations and
    were registered under ''Chhattisgarh Society Registrikaran Adhiniyam, 1973'' in
    the year 2012.'''
- source_sentence: How is the Sum Insured calculated for an individual farmer?
  sentences:
  - '''(i) The software for vertical and horizontal e-Market place will provide information  about
    the details of FPOs produce with its quality ready for sale.  (ii) It will provide
    details of availability of quality inputs with price and also the details  of
    custom hiring facility with rate.   (iii) It will also provide detailed information
    about formation of FPO, its registration,  location, major business activity,
    profitability status and all other related information FPO-wise.  (iv)  It will
    have window to highlight the problems being encountered in any stage of  formation
    and promotion of FPOs and quick response by respective agency to resolve the problem.  (v)
    All the software developed by Implementing Agencies with respect to FPOs are  to
    be inter-operable with this Integrated portal.'''
  - '''12.1   Sum Insured per hectare for both loanee and non-loanee farmers will
    be same and equal to the Scale  of Finance as decided by the DLTC/SLTC, and would
    be pre-declared by SLCCCI and notified. No other calculation of Scale of Finance
    will be applicable. Sum Insured for individual farmer is equal to the SOF  per
    hectare multiplied by area of the notified crop proposed by the farmer for insurance.
    Area under  cultivation shall always be expressed in hectare''.  12.2   In cases
    where crops are separately notified under irrigated, un-irrigated category by
    State Govts. Sum  insured for irrigated and un-irrigated areas should be separately
    indicated.'''
  - '''i. The credit guarantee cover per FPO will be limited to the project loan of
    Rs. 2  crore. In case of project loan up to Rs. 1 crore, credit guarantee cover
    will be 85% of bankable project loan with ceiling of Rs. 85 lakh; while in case
    of project  loan above Rs.1 crore and up to Rs. 2 crore, credit guarantee cover
    will be 75% of bankable project loan with a maximum ceiling of Rs. 150 lakh. However,
    for project loan over Rs. 2 crore of bankable projet loan, credit guarantee cover
    will be limited maximum upto Rs.2.0 crore only.  ii. ELI shall be eligible to
    seek Credit Guarantee Cover for a credit facility  sanctioned in respect of a
    single FPO borrower for a maximum of 2 times over a period of 5 years.   iii.
    In case of default, claims shall be settled up to 85% or 75 % of the amount in  default
    subject to maximum cover as specified above.   iv. Other charges such as penal
    interest, commitment charge, service charge, or  any other levies/ expenses, or
    any  costs whatsoever debited to the account of FPO by the ELI other than the
    contracted interest shall not qualify for Credit Guarantee Cover.  v. The Cover
    shall only be granted after the ELI enters into an agreement with  NABARD or NCDC,
    as the case may be, and shall be granted or delivered in accordance with the Terms
    and Conditions decided upon by NABARD or NCDC, as the case may be, from time to
    time.'''
- source_sentence: What is the requirement of Aadhaar for crop loan or Kisan Credit
    Card (KCC) under the Interest Subvention Scheme?
  sentences:
  - ''' This consent of the beneficiary should be \''to agree that the department
    responsible for implementation of the Pradhan Mantri Kisan Samman Nidhi Yojana
    in Union Government or the State Government / Union Territory Administration can
    use the beneficiary Aadhaar number and other information provided in the declaration
    to verify the eligibility of the beneficiary for scheme as per extant scheme guidelines
    with the concerned agencies\''. 6.3  The existing land-ownership system in the
    concerned State / UT will be used for identification of beneficiaries. Accordingly,
    it is of utmost importance that the land records are clear and updated. Further,
    State / UT Governments would also expedite    the progress of digitization of
    the land records and linking the same with Aadhaar as well as bank details of
    the beneficiaries. 6.4  The lists of eligible beneficiaries would be published
    at the village level. Farmers''  families who are eligible but have been excluded
    should be provided an opportunity to represent their case.'''
  - ''' 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.'''
  - '''6.3.1   Aadhaar has been made mandatory for availing Crop insurance from Kharif
    2017 season onwards.    Therefore, all banks are advised to mandatorily obtain
    Aadhaar number of their farmers and the same    applies  for  non-loanee  farmers  enrolled  through  banks/Insurance  companies/insurance    intermediaries.  6.3.2   Farmers
    not having Aadhaar ID may also enrol under PMFBY subject to their enrolment for    Aadhaar
    and submission of proof of such enrolment as per notification No. 334.dated 8th
    February,    2017 issued by GOI under Section 7 of Aadhaar Act 2016(Targeted Delivery
    of Financial and other    Subsidies, Benefits and Services). Copy of the notification
    may be perused on www.pmfby.gov.in. This    may be  subject to further directions
    issued by Govt. from time to time.  6.3.3    All banks have to compulsorily take
    Aadhaar/Aadhaar enrolment number as per notification under  Aadhaar Act before
    sanction of crop loan/KCC under Interest Subvention Scheme. Hence the coverage    of
    loanee farmers without Aadhaar does not arise and such accounts need to be reviewed
    by the    concerned bank branch regularly.'''
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: 0.89
      name: Cosine Accuracy@5
    - type: cosine_accuracy@10
      value: 0.93
      name: Cosine Accuracy@10
    - type: cosine_precision@1
      value: 0.51
      name: Cosine Precision@1
    - type: cosine_precision@5
      value: 0.17799999999999996
      name: Cosine Precision@5
    - type: cosine_precision@10
      value: 0.09299999999999997
      name: Cosine Precision@10
    - type: cosine_recall@1
      value: 0.51
      name: Cosine Recall@1
    - type: cosine_recall@5
      value: 0.89
      name: Cosine Recall@5
    - type: cosine_recall@10
      value: 0.93
      name: Cosine Recall@10
    - type: cosine_ndcg@5
      value: 0.7199414259514458
      name: Cosine Ndcg@5
    - type: cosine_ndcg@10
      value: 0.7332305184181033
      name: Cosine Ndcg@10
    - type: cosine_ndcg@100
      value: 0.7506961623500871
      name: Cosine Ndcg@100
    - type: cosine_mrr@5
      value: 0.6626666666666666
      name: Cosine Mrr@5
    - type: cosine_mrr@10
      value: 0.6683611111111114
      name: Cosine Mrr@10
    - type: cosine_mrr@100
      value: 0.6730785505344332
      name: Cosine Mrr@100
    - type: cosine_map@100
      value: 0.6730785505344328
      name: Cosine Map@100
    - type: dot_accuracy@1
      value: 0.51
      name: Dot Accuracy@1
    - type: dot_accuracy@5
      value: 0.89
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.93
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.51
      name: Dot Precision@1
    - type: dot_precision@5
      value: 0.17799999999999996
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.09299999999999997
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.51
      name: Dot Recall@1
    - type: dot_recall@5
      value: 0.89
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.93
      name: Dot Recall@10
    - type: dot_ndcg@5
      value: 0.7199414259514458
      name: Dot Ndcg@5
    - type: dot_ndcg@10
      value: 0.7332305184181033
      name: Dot Ndcg@10
    - type: dot_ndcg@100
      value: 0.7506961623500871
      name: Dot Ndcg@100
    - type: dot_mrr@5
      value: 0.6626666666666666
      name: Dot Mrr@5
    - type: dot_mrr@10
      value: 0.6683611111111114
      name: Dot Mrr@10
    - type: dot_mrr@100
      value: 0.6730785505344332
      name: Dot Mrr@100
    - type: dot_map@100
      value: 0.6730785505344328
      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("smokxy/embedding_finetuned")
# Run inference
sentences = [
    'What is the requirement of Aadhaar for crop loan or Kisan Credit Card (KCC) under the Interest Subvention Scheme?',
    "'6.3.1   Aadhaar has been made mandatory for availing Crop insurance from Kharif 2017 season onwards.    Therefore, all banks are advised to mandatorily obtain Aadhaar number of their farmers and the same    applies  for  non-loanee  farmers  enrolled  through  banks/Insurance  companies/insurance    intermediaries.  6.3.2   Farmers not having Aadhaar ID may also enrol under PMFBY subject to their enrolment for    Aadhaar and submission of proof of such enrolment as per notification No. 334.dated 8th February,    2017 issued by GOI under Section 7 of Aadhaar Act 2016(Targeted Delivery of Financial and other    Subsidies, Benefits and Services). Copy of the notification may be perused on www.pmfby.gov.in. This    may be  subject to further directions issued by Govt. from time to time.  6.3.3    All banks have to compulsorily take Aadhaar/Aadhaar enrolment number as per notification under  Aadhaar Act before sanction of crop loan/KCC under Interest Subvention Scheme. Hence the coverage    of loanee farmers without Aadhaar does not arise and such accounts need to be reviewed by the    concerned bank branch regularly.'",
    "' 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.'",
]
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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## 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   | 0.89       |
| cosine_accuracy@10  | 0.93       |
| cosine_precision@1  | 0.51       |
| cosine_precision@5  | 0.178      |
| cosine_precision@10 | 0.093      |
| cosine_recall@1     | 0.51       |
| cosine_recall@5     | 0.89       |
| cosine_recall@10    | 0.93       |
| cosine_ndcg@5       | 0.7199     |
| cosine_ndcg@10      | 0.7332     |
| cosine_ndcg@100     | 0.7507     |
| cosine_mrr@5        | 0.6627     |
| cosine_mrr@10       | 0.6684     |
| cosine_mrr@100      | 0.6731     |
| **cosine_map@100**  | **0.6731** |
| dot_accuracy@1      | 0.51       |
| dot_accuracy@5      | 0.89       |
| dot_accuracy@10     | 0.93       |
| dot_precision@1     | 0.51       |
| dot_precision@5     | 0.178      |
| dot_precision@10    | 0.093      |
| dot_recall@1        | 0.51       |
| dot_recall@5        | 0.89       |
| dot_recall@10       | 0.93       |
| dot_ndcg@5          | 0.7199     |
| dot_ndcg@10         | 0.7332     |
| dot_ndcg@100        | 0.7507     |
| dot_mrr@5           | 0.6627     |
| dot_mrr@10          | 0.6684     |
| dot_mrr@100         | 0.6731     |
| dot_map@100         | 0.6731     |

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## Training Details

### Training Hyperparameters
#### Non-Default Hyperparameters

- `eval_strategy`: steps
- `gradient_accumulation_steps`: 4
- `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`: 8
- `per_device_eval_batch_size`: 8
- `per_gpu_train_batch_size`: None
- `per_gpu_eval_batch_size`: None
- `gradient_accumulation_steps`: 4
- `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 |
|:---------:|:------:|:-------------:|:----------:|:----------------------------:|
| **0.531** | **15** | **0.5565**    | **0.0661** | **0.6731**                   |
| 0.9912    | 28     | -             | 0.0661     | 0.6731                       |

* The bold row denotes the saved checkpoint.

### Framework Versions
- Python: 3.10.14
- Sentence Transformers: 3.0.1
- Transformers: 4.43.4
- PyTorch: 2.4.0+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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