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--- |
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language: [] |
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library_name: sentence-transformers |
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tags: |
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- sentence-transformers |
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- sentence-similarity |
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- feature-extraction |
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- generated_from_trainer |
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- dataset_size:900 |
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- loss:GISTEmbedLoss |
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base_model: BAAI/bge-small-en-v1.5 |
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datasets: [] |
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metrics: |
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- cosine_accuracy@1 |
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- cosine_accuracy@5 |
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- cosine_accuracy@10 |
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- cosine_precision@1 |
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- cosine_precision@5 |
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- cosine_precision@10 |
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- cosine_recall@1 |
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- cosine_recall@5 |
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- cosine_recall@10 |
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- cosine_ndcg@5 |
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- cosine_ndcg@10 |
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- cosine_ndcg@100 |
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- cosine_mrr@5 |
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- cosine_mrr@10 |
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- cosine_mrr@100 |
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- cosine_map@100 |
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- dot_accuracy@1 |
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- dot_accuracy@5 |
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- dot_accuracy@10 |
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- dot_precision@1 |
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- dot_precision@5 |
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- dot_precision@10 |
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- dot_recall@1 |
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- dot_recall@5 |
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- dot_recall@10 |
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- dot_ndcg@5 |
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- dot_ndcg@10 |
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- dot_ndcg@100 |
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- dot_mrr@5 |
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- dot_mrr@10 |
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- dot_mrr@100 |
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- dot_map@100 |
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widget: |
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- source_sentence: Who are the CSCs engaged to enrol non-loanee farmers? |
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sentences: |
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- '''notification or /and on National Crop Insurance Portal multiplied by sown area |
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for notified crop. 3.1.3 Special efforts shall be made to ensure maximum |
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coverage of SC/ ST/ Women farmers under the Scheme. Further Panchayat Raj Institutions |
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(PRIs) may be involved in extension and awareness creation amongst farmers |
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and obtaining feed-back of farmers about the implementation of the Scheme 3.1.4 The |
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implementing Insurance Company selected as L1 will be responsible for taking necessary measures |
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to ensure at least 10% incremental increase in coverage of non-loanee farmers. |
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However other empanelled Insurance Companies which have participated in the bidding |
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and are keen for enrolment of non loanee farmers in the cluster may also be allowed |
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to enrol non-loanee farmers at L1 premium rate. The interested companies have |
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to inform their willingness in writing within seven days of finalisation of tender/issuance |
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of work order to L1. It will however be the responsibility of all the Insurance |
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Companies engaged in this process to ensure that duplicate enrolment does not |
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happen in the given cluster/district. Engaging companies other than L1 for enrolling |
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non loanee farmers will be taken up on a pilot basis in Districts notified by |
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State Govt. They shall enrol non loanee farmers as per conditions laid down |
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in Para 17.5. 3.1.5 These Insurance Company will maintain separate data of |
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such non loanee farmers covered by them and enter the said data on the portal |
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as per seasonality discipline detailed in Para 16.2. They shall be liable for |
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payment of claims to such farmers. 3.1.6 The exchange of information, co-witnessing |
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of CCEs and sharing of yield data etc for the cluster by Government/NCIP will |
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be limited to L1 Company only and it will be binding on other companies to accept |
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it. However, the requisition for payment of Government subsidy in respect of non-loanee enrolled |
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by them will be submitted directly to the Govt designated agency.''' |
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- '''Name of Implementing Agency (NABARD/NCDC):............................................. |
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Address: ........................................................................................................... |
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........................................................................................................... |
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................................................................................................................. Phone |
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Number: ............................................................................. (Each |
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page of the application form should be signed by Branch head and Zonal Manager) Name |
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and Address of the applicant Bank Branch : 1 a) Complete Postal Address (*with |
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pin-code) : 1 b) Phone No. with STD : 1 c) Fax No.: 1 d) E-Mail Address: 1 |
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e) Details of the authorised Designation Mobile No. E-Mail Address. person |
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of the Bank submitting the Claim: 2 Name of Borrower FPO : 2 a) Constitution: Producer |
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Organization 2 b) Registered Office Address (*with pin-code): (i). Phone No. (ii). |
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Fax No. (iii). E-mail Address 2 c) Business Office Address (if any) (i). Phone |
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No. (ii). Fax No. (iii). E-mail Address 2 d) Name of CEO : Mobile No. 2 e) |
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Credit Facility for which guarantee cover sought : Old New Expansion Technical |
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Upgradation 2 f ) Give details of components:- Inputs: Processing: Marketing: Any |
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other: Total Investment: 3 Banking Facilities Sanctioned by sanctioning authority |
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(Rs. in Lakh):- (i). Term-Loan : Date of Sanction: Amount Outstanding: IRAC |
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Status: IRAC Status: (ii).Cash Credit : Date of Sanction: Amount Outstanding: 3 |
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a) Sanctioning Office: Branch: ZO / RO: HO: 3 b) Designation of Sanctioning |
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Authority : 3 c) Sanctioning authority approval vide : 3 d) Sanction / |
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Appraisal Note No. Dated: 3 e) Agenda No. / Minutes conveying sanction : 4 Name |
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and Address of Controlling Office of the Branch (*with pin-code): 4.a). Name |
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of Controlling Authority : 4.b). Mobile No.: 4.c). Fax. No. : 4.d). E-Mail |
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Address. : 5 Present status of FPO Activity : (Give component wise details) 5. |
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a) 5. b). 5. c). 5. d). 5. e). 5. f ) 6 Status of Accounts 6. a). |
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Term-Loan: Amount of Disbursement till date : Outstanding as on date : i).''' |
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- '''8.1 CSCs under Ministry of Electronics and Information Technology (MeITY) |
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have been engaged to enrol non-loanee farmers. The Insurance Companies are |
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required to enter into a separate agreement with CSC and pay service charges |
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as fixed by DAC&FW, GOI per farmer per village per season. No other agreement |
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or payment is required to be made for this purpose. Nodal agency for engagement |
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with Ministry of Agriculture and Farmers Welfare and Insurance Companies will |
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be CSC-SPV, a company established under MeITY for carrying out e-governance |
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initiatives of GoI. 8.2 No charges/fee shall be borne or paid by the farmers |
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being enrolled through CSCs i.e. CSC-SPV and CSC-VLE 8.3 As per IRDA circular, |
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no separate qualification/certification will be required for the VLEs of CSCs |
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to facilitate enrolment of non-loanee farmers. 8.4 All empanelled Insurance |
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Companies will compulsorily be required to enter into an agreement with CSC |
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for enrolment of non-loanee farmers and for provision of other defined services |
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to farmers. 8.5 Other designated intermediaries may be linked with the Portal |
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in due course. 8.6 Empanelled Insurance Companies have to necessarily register |
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on the portal and submit list and details of agents/intermediaries engaged |
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for enrolment of non-loanee farmers in the beginning of each season within |
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10 days of award of work in the State. Further all agents/intermediaries have |
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to work strictly as per the provisions of the Scheme and IRDA regulations''' |
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- source_sentence: What role does the N-PMAFSC play in the modification of the scheme? |
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sentences: |
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- '''Eligible FPOs shall apply for the Equity Grant in the prescribed Application |
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Form (**Annexure-I**) only. Other mandatory documents required to be submitted |
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along with the Application are listed below: (i) Shareholder List and Share |
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Capital contribution by each member verified and certified by a Chartered Accountant |
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(CA)/Co-operative Auditors prior to submission(Enclosure-I of Annexure-I). (ii) |
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Resolution of the Board of Directors/Governing Body to seek Equity Grant for members |
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**(Enclosure-II of Annexure-I).** (iii) Consent of shareholders, stating name |
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of shareholder, gender, number of shares held, face value of shares, land holding, |
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signifying consent for Implementing Agencies to directly transfer the Equity Grant |
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sanctioned to the FPO on their behalf, to FPO Bank account, against the consideration |
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of additional shares of equivalent value to be issued to them by FPO and on exit- |
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transfer of the shares as per rules **(Enclosure-III of Annexure-I).** (iv) If |
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the FPO is in operation for more than one or more financial year then it shall |
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provide copy of the Audited Financial Statements of FPO for all years of existence |
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of the FPO, verified and certified by a Chartered Accountant (CA)/ Cooperative |
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Auditors prior to submission. (v) In case FPO is in operation for period of less |
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than one financial year, Photocopy of Bank Account Statement for last six months |
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authenticated by the Branch Manager of the \''Bank\'' is required (vi) Business |
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Plan of FPO and budget for next 18 months. (vii) Names, photographs, and identity |
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proof (anyone from among ration card, Aadhaar card, election identification card, |
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passport) of Representatives/ Directors authorized by the Board for executing |
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and signing all documents under the Scheme. Each page of the Application Form |
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and accompanying documents shall be signed by a minimum of two Board Member /Authorized |
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Representatives of the FPO.''' |
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- '''20.3.1 For addressing the issue of reliability of CCEs in terms of their |
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accuracy, representativeness and timeliness, innovative technologies such as |
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satellite remote sensing, drone, modeling, AWS/ARG, real time transmission of |
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data etc. should be utilized. This will ensure accurate assessment of yield and timely |
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payment of claims to farmers. Various studies carried out by national and international |
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organizations, including MNCFC, NRSC, SAC, CCAFS, IRRI, IFPRI, World Bank, etc. |
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have shown that the use of satellite, weather, soil and crop data, along with |
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images/video capture of crop growth at various stages and accurate sample CCE |
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data collection can improve the yield data quality/ timeliness and support timely |
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claim processing and payments. 20.3.2 States, with the support of national |
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centres as mentioned above, SRSC and SAUs, need to carry out adequate number |
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of pilot studies for improved yield estimation using technology, as mentioned above, |
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and small number of good quality CCEs. When a significant correlation is observed |
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between remote sensing and weather estimated yield and yield estimated through |
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CCEs, States and Insurance Companies can use these technologies in estimating |
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the crop yields at IU level, subject to the satisfaction of both States and Insurance |
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Companies about the accuracy of the yield estimates, to service the claims.''' |
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- '''(i) Coordinate with all the Implementing Agencies, State Level Consultative |
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Committee and District level Monitoring Committee (D-MC) for smooth implementation. |
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It will also consider feedback received from other relevant Ministries and Organizations |
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on Clusters identification for consideration. (ii) It will monitor the progress |
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either by holding the meetings of Implementing Agencies and other stakeholders |
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or by other means. (iii) It will allocate the produce clusters/districts/States |
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to Implementing Agencies for formation and promotion of FPOs. (iv) It will undertake |
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scrutiny of Action Plan of Implementing Agencies(IAs), consider recommendation |
|
of release of fund to Implementing Agencies based on previous utilization as due with |
|
respect to funding under the Scheme. (v) It will provide policy inputs to DAC&FW |
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for modification in the Scheme to better suit in the formation and promotion |
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of FPOs to make them economically sustainable. (vi) It will provide aid and advice |
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to Implementing Agencies as may be required for smooth functioning of the scheme. (vii) |
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Based on suggestions received from various Implementing Agencies, other Ministries, |
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States and experience/need, N-PMAFSC may examine and recommend revision of the |
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minimum membership norm per FPO to DAC&FW. (viii) It may seek detailed input |
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and analysis as may be required from time to time from NPMA and also seek assistance |
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of DMI in verification etc.''' |
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- source_sentence: When should non-loanee farmers apply for the Rabi season? |
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sentences: |
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- ''' Date……………………………… ……………………………… Signature of Branch Manager with branch seal Name…………………………………… |
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… Designation …………………………………… ……………………………… ……………………………… Signature of Authorized |
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Person in zonal office Name………………………………… Designation …………………………………… 5. Promoter''s |
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request letter List of Enclosures 1. Recommendation 9. List of shareholders addressed |
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to the Bank Manager on original letter head of FPO confirmed by promoter and |
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bank with amount of CGC sought on Bank''s Original letterhead with date and |
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dispatch number duly signed by the Branch Manager on each page. 2. Sanction letter |
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of 6. Implementation Schedule 10. Affidavit of promoters that confirmed by |
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the bank. they have not availed CGC from any other institution for sanctioned |
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Credit Facility. sanctioning authority addressed to recommending branch. 3. |
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Bank''s approved 7. Up-to-date statement of account of 11. Field inspection |
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report of Term loan and Cash Credit (if Sanctioned). Bank official as on recent |
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date. Appraisal/Process note bearing signature of sanctioning authority. 4. |
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Potential Impact on 8. a).Equity Certificate, C.A/CS * Pin Code at Column No. |
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1. a), certificate/RCS certificate 2. b), 2. c), 4. a) and 9. a) is Mandatory b). |
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FORM-2, FORM-5 and FORM-23 filed with ROC for Company/RCS. small farmer producers 1. |
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Social Impact, 2. Environmental Impact 3.''' |
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- ''' \''Tenure of Guarantee Cover\'' means the agreed tenure of the Term loan/ composite |
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credit i.e. the maximum period of Guarantee Cover from the Guarantee start-up |
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which shall run through the agreed tenure of the term credit, and where working |
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capital facilities or Term loan alone are extended and/or continuing working |
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capital arrangements granted along with the Term Loan, for a period of 5 years or |
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block of 5 years and/or loan / working capital credit or composite credit facilities'' |
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termination date, whichever is earlier or such period as may be specified by |
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the NABARD or NCDC, as case may be.''' |
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- '''for loanee and within 30 days for non loanee i.e. 15th Aug for Kharif and |
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15th Jan for Rabi for loanee and 31st Aug for Kharif and 31st Jan for Rabi |
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for Non Loanee 13 Within 7 days from the date of intimation by ICs CSCs/Banks/ |
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Intermediary Cut-off date for CSCs/Banks/Intermediary to correct/update the paid |
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application intimated by ICs on Crop Insurance Portal 14 Cut-off date for Insurer |
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to accept the corrected/updated applications Within 7 days from the date of |
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submission of correction/updation by the Bank/CSC Insurance Companies 15 Within |
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7 days from acceptance of proposal by concerned Insurance Company on Portal Cut-off |
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date for Banks/ICs to hand over insurance acknowledgement receipt along with folio |
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to the insured farmer Banks/ICs for enrolment through their intermediaries 16 Cut |
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off date for processing of applications by ICs and auto approval of application |
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of insured farmers on crop insurance Portal 60 days from the cut off date for |
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enrolment/debit of premium from farmers i.e. 15th September for Kharif and 15th |
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February for Rabi seasons 17 Before cut off date of enrolment of farmers Insurance |
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Companies/GOI /State Cut off date for raising bills/requisitions with supporting |
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documents for releasing of advance premium subsidy based on 50% of 80% of respective |
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share of Centre/State in corresponding previous season 18 Release of advance |
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upfront premium subsidy (First Instalment)i.e. 50% of 80% of respective share |
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of Centre/State in corresponding previous season Within 15days of cut off date |
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of enrolment of farmers i.e. 31st July for Kharif Upto 15th August* 19 *state |
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may fix earlier dates for early Kharif crops Training and registration of field |
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level workers assigned for conduct of CCEs and reporting of the same on crop |
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insurance Portal through smart phones/CCE Agri App Upto31st August* *state 20 Registration |
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of mobile number of representative of ICs for co-witnessing of CCEs may fix earlier |
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dates for early Kharif crops At least 7 days before tentative date for conducting |
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CCEs 21 a) Uploading of tentative schedule/date for conducting CCEs (crop-wise/IU |
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wise) followed by SMS on one day notice through CCEs app.''' |
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- source_sentence: What is the requirement for the shareholder list and share capital |
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contribution? |
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sentences: |
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- '''To substantiate the fact, the most successful example is of dairy co-operative |
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in India where professional managers have contributed immensely to make it a success. |
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There are other so many examples which prove the absolute requirement of professional |
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managers. The number of professional staff could depend on geographical spread |
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of business operation, diversity of activities and volume of business. However, |
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an FPO should have minimum a CEO/Manager and an Accountant. Accountant is required |
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in FPO to look after its day to day accounting work. Based on requirement, FPO |
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can engage other staff also. 10.3 The CEO/Manager is to be appointed by the |
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executive body of the FPO who should be either graduate in agriculture / agriculture |
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marketing / agri-business management or BBA or equivalent. Locally available professionals |
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with 10+2 and preferably diploma in agriculture / agriculture marketing / agri-business |
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management or in such other related areas may be preferable. The accountant should |
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have educational qualification of 10+2 with Mathematics as a compulsory subject |
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or alternatively with Commerce or Accountancy background. If any members of the |
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FPO meet the above criteria, they may be considered preferably in the selection |
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process. 10.4 Under the scheme, financial support towards salary of CEO/Manager |
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up to @ Rs. 25,000/- per month and of Accountant up to @ Rs.10,000/- per |
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month with annual increment up to 5% is to be provided from the earmarked financial |
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support for first 3 years only. Thereafter, FPOs will manage from their own resources |
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to pay the salary of CEO/Manager and Accountant. In order to create interest |
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of good professional activities of CEO/Accountant, the FPO may also offer higher |
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payment with their own sources of funds on above of Govt. support. One CEO will |
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provide full time services to one FPO at a time only.''' |
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- '''i. Shareholder List and Share Capital contribution by each Member verified |
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and certified by a Chartered Accountant (CA) prior to submission (Format attached, |
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Annexure I- Enclosure-I). ii. Resolution of FPO Board/Governing Council to seek |
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Equity Grant for Members (Format attached, Annexure I- Enclosure-II). iii. Consent |
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of Shareholders, stating name of shareholder, gender, number of shares held, face |
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value of shares, land holding, and signature, signifying consent for Implementing |
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Agency to directly transfer the Equity Grant sanctioned to the FPC on their behalf, |
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to FPC Bank account, against the consideration of additional shares of equivalent |
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value to be issued to them by FPC and on exit- transfer of the shares as per rules |
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(Format attached, Annexure I-Enclosure-III). iv. Audited Financials of FPO for |
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a minimum 1 year/for all years of existence of the FPO if formed less than three |
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years prior to application/ for the last 3 years for FPO in existence for 3 years |
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or more, verified and certified by a Chartered Accountant (CA) prior to submission. |
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v. Photocopy of FPO Bank Account Statement for last six months authenticated by |
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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;''' |
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- '''9.1 The Formation and Incubation cost of CBBO, limited to maximum of Rs. 25 lakh |
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/ FPO of support or actual which is lesser, is to be provided for five years |
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from the year of formation. It includes cost towards undertaking baseline survey, |
|
mobilization of farmers, organizing awareness programmes and conducting exposure |
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visits, professional hand holdings, incubation, cost of engaging CBBOs and other |
|
overheads etc. There is also a provision for cost of NPMA towards manpower, |
|
establishment, travel and advisory and maintaining MIS portal. This also includes |
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a provision towards cost for development of appropriate overall ICT based MIS |
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web portal for the Scheme.''' |
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- source_sentence: What does the term 'shareholder members' refer to? |
|
sentences: |
|
- '''(i) Coordinate with all the Implementing Agencies, State Level Consultative |
|
Committee and District level Monitoring Committee (D-MC) for smooth implementation. |
|
It will also consider feedback received from other relevant Ministries and Organizations |
|
on Clusters identification for consideration. (ii) It will monitor the progress |
|
either by holding the meetings of Implementing Agencies and other stakeholders |
|
or by other means. (iii) It will allocate the produce clusters/districts/States |
|
to Implementing Agencies for formation and promotion of FPOs. (iv) It will undertake |
|
scrutiny of Action Plan of Implementing Agencies(IAs), consider recommendation |
|
of release of fund to Implementing Agencies based on previous utilization as due with |
|
respect to funding under the Scheme. (v) It will provide policy inputs to DAC&FW |
|
for modification in the Scheme to better suit in the formation and promotion |
|
of FPOs to make them economically sustainable. (vi) It will provide aid and advice |
|
to Implementing Agencies as may be required for smooth functioning of the scheme. (vii) |
|
Based on suggestions received from various Implementing Agencies, other Ministries, |
|
States and experience/need, N-PMAFSC may examine and recommend revision of the |
|
minimum membership norm per FPO to DAC&FW. (viii) It may seek detailed input |
|
and analysis as may be required from time to time from NPMA and also seek assistance |
|
of DMI in verification etc.''' |
|
- '''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.''' |
|
- '''Date: To, (i) The Managing Director Small Farmers'' Agri-Business Consortium |
|
(SFAC), NCUI Auditorium, August Kranti Marg, Hauz Khas, New Delhi 110016. (ii)The |
|
Managing Director National Co-operative Development Corporation (NCDC), 4, Siri |
|
Institutional Area, Hauz Khas, New Delhi 110016. (iii) The Chief General Manager |
|
National Bank for Agriculture and Rural Development (NABARD), Regional Office |
|
--------------------------------------------------------------- (iv) To any other |
|
additional Implementing Agency allowed/designated, as the case may be. Sub: Application |
|
for Equity Grant under scheme of Formation and Promotion of 10,000 Farmer Producer |
|
Organizations (FPOs) Dear Sir/Madam, We herewith apply for Equity Grant as per |
|
the provisions under the captioned scheme. 1. The details of the FPO are as under- S. |
|
No. Particulars to be furnished Details 1. Name of the FPO 2. Correspondence |
|
address of FPO 3. Contact details of FPO 4. Registration Number 5. Date |
|
of registration/incorporation of FPO 6. Brief account of business of FPO 7. Number |
|
of Shareholder Members 8. Number of Small, Marginal and Landless Shareholder |
|
Members''' |
|
pipeline_tag: sentence-similarity |
|
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: 0.43 |
|
name: Cosine Accuracy@1 |
|
- type: cosine_accuracy@5 |
|
value: 0.87 |
|
name: Cosine Accuracy@5 |
|
- type: cosine_accuracy@10 |
|
value: 0.92 |
|
name: Cosine Accuracy@10 |
|
- type: cosine_precision@1 |
|
value: 0.43 |
|
name: Cosine Precision@1 |
|
- type: cosine_precision@5 |
|
value: 0.17399999999999996 |
|
name: Cosine Precision@5 |
|
- type: cosine_precision@10 |
|
value: 0.09199999999999997 |
|
name: Cosine Precision@10 |
|
- type: cosine_recall@1 |
|
value: 0.43 |
|
name: Cosine Recall@1 |
|
- type: cosine_recall@5 |
|
value: 0.87 |
|
name: Cosine Recall@5 |
|
- type: cosine_recall@10 |
|
value: 0.92 |
|
name: Cosine Recall@10 |
|
- type: cosine_ndcg@5 |
|
value: 0.6778743824685509 |
|
name: Cosine Ndcg@5 |
|
- type: cosine_ndcg@10 |
|
value: 0.6934417324625011 |
|
name: Cosine Ndcg@10 |
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- type: cosine_ndcg@100 |
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value: 0.712214063928892 |
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name: Cosine Ndcg@100 |
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- type: cosine_mrr@5 |
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value: 0.6126666666666668 |
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name: Cosine Mrr@5 |
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- type: cosine_mrr@10 |
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value: 0.618761904761905 |
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name: Cosine Mrr@10 |
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- type: cosine_mrr@100 |
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value: 0.623424850876552 |
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name: Cosine Mrr@100 |
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- type: cosine_map@100 |
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value: 0.6234248508765518 |
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name: Cosine Map@100 |
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- type: dot_accuracy@1 |
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value: 0.43 |
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name: Dot Accuracy@1 |
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- type: dot_accuracy@5 |
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value: 0.87 |
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name: Dot Accuracy@5 |
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- type: dot_accuracy@10 |
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value: 0.92 |
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name: Dot Accuracy@10 |
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- type: dot_precision@1 |
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value: 0.43 |
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name: Dot Precision@1 |
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- type: dot_precision@5 |
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value: 0.17399999999999996 |
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name: Dot Precision@5 |
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- type: dot_precision@10 |
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value: 0.09199999999999997 |
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name: Dot Precision@10 |
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- type: dot_recall@1 |
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value: 0.43 |
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name: Dot Recall@1 |
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- type: dot_recall@5 |
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value: 0.87 |
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name: Dot Recall@5 |
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- type: dot_recall@10 |
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value: 0.92 |
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name: Dot Recall@10 |
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- type: dot_ndcg@5 |
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value: 0.6778743824685509 |
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name: Dot Ndcg@5 |
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- type: dot_ndcg@10 |
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value: 0.6934417324625011 |
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name: Dot Ndcg@10 |
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- type: dot_ndcg@100 |
|
value: 0.712214063928892 |
|
name: Dot Ndcg@100 |
|
- type: dot_mrr@5 |
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value: 0.6126666666666668 |
|
name: Dot Mrr@5 |
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- type: dot_mrr@10 |
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value: 0.618761904761905 |
|
name: Dot Mrr@10 |
|
- type: dot_mrr@100 |
|
value: 0.623424850876552 |
|
name: Dot Mrr@100 |
|
- type: dot_map@100 |
|
value: 0.6234248508765518 |
|
name: Dot Map@100 |
|
--- |
|
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# SentenceTransformer based on BAAI/bge-small-en-v1.5 |
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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. |
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## Model Details |
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### Model Description |
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- **Model Type:** Sentence Transformer |
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- **Base model:** [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) <!-- at revision 5c38ec7c405ec4b44b94cc5a9bb96e735b38267a --> |
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- **Maximum Sequence Length:** 512 tokens |
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- **Output Dimensionality:** 384 tokens |
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- **Similarity Function:** Cosine Similarity |
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<!-- - **Training Dataset:** Unknown --> |
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<!-- - **Language:** Unknown --> |
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<!-- - **License:** Unknown --> |
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### Model Sources |
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- **Documentation:** [Sentence Transformers Documentation](https://sbert.net) |
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- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers) |
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- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers) |
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### Full Model Architecture |
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``` |
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SentenceTransformer( |
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(0): Transformer({'max_seq_length': 512, 'do_lower_case': True}) with Transformer model: BertModel |
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(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}) |
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(2): Normalize() |
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) |
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``` |
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## Usage |
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### Direct Usage (Sentence Transformers) |
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First install the Sentence Transformers library: |
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```bash |
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pip install -U sentence-transformers |
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``` |
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Then you can load this model and run inference. |
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```python |
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from sentence_transformers import SentenceTransformer |
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# Download from the 🤗 Hub |
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model = SentenceTransformer("smokxy/embedding-finetuned") |
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# Run inference |
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sentences = [ |
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"What does the term 'shareholder members' refer to?", |
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"'Date: To, (i) The Managing Director Small Farmers' Agri-Business Consortium (SFAC), NCUI Auditorium, August Kranti Marg, Hauz Khas, New Delhi 110016. (ii)The Managing Director National Co-operative Development Corporation (NCDC), 4, Siri Institutional Area, Hauz Khas, New Delhi 110016. (iii) The Chief General Manager National Bank for Agriculture and Rural Development (NABARD), Regional Office --------------------------------------------------------------- (iv) To any other additional Implementing Agency allowed/designated, as the case may be. Sub: Application for Equity Grant under scheme of Formation and Promotion of 10,000 Farmer Producer Organizations (FPOs) Dear Sir/Madam, We herewith apply for Equity Grant as per the provisions under the captioned scheme. 1. The details of the FPO are as under- S. No. Particulars to be furnished Details 1. Name of the FPO 2. Correspondence address of FPO 3. Contact details of FPO 4. Registration Number 5. Date of registration/incorporation of FPO 6. Brief account of business of FPO 7. Number of Shareholder Members 8. Number of Small, Marginal and Landless Shareholder Members'", |
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"'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.'", |
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] |
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embeddings = model.encode(sentences) |
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print(embeddings.shape) |
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# [3, 384] |
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# Get the similarity scores for the embeddings |
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similarities = model.similarity(embeddings, embeddings) |
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print(similarities.shape) |
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# [3, 3] |
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``` |
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<!-- |
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### Direct Usage (Transformers) |
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<details><summary>Click to see the direct usage in Transformers</summary> |
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</details> |
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--> |
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<!-- |
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### Downstream Usage (Sentence Transformers) |
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You can finetune this model on your own dataset. |
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<details><summary>Click to expand</summary> |
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</details> |
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--> |
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<!-- |
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### Out-of-Scope Use |
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*List how the model may foreseeably be misused and address what users ought not to do with the model.* |
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--> |
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## Evaluation |
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### Metrics |
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#### Information Retrieval |
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* Dataset: `val_evaluator` |
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* Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator) |
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| Metric | Value | |
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|:--------------------|:-----------| |
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| cosine_accuracy@1 | 0.43 | |
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| cosine_accuracy@5 | 0.87 | |
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| cosine_accuracy@10 | 0.92 | |
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| cosine_precision@1 | 0.43 | |
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| cosine_precision@5 | 0.174 | |
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| cosine_precision@10 | 0.092 | |
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| cosine_recall@1 | 0.43 | |
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| cosine_recall@5 | 0.87 | |
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| cosine_recall@10 | 0.92 | |
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| cosine_ndcg@5 | 0.6779 | |
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| cosine_ndcg@10 | 0.6934 | |
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| cosine_ndcg@100 | 0.7122 | |
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| cosine_mrr@5 | 0.6127 | |
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| cosine_mrr@10 | 0.6188 | |
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| cosine_mrr@100 | 0.6234 | |
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| **cosine_map@100** | **0.6234** | |
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| dot_accuracy@1 | 0.43 | |
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| dot_accuracy@5 | 0.87 | |
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| dot_accuracy@10 | 0.92 | |
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| dot_precision@1 | 0.43 | |
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| dot_precision@5 | 0.174 | |
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| dot_precision@10 | 0.092 | |
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| dot_recall@1 | 0.43 | |
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| dot_recall@5 | 0.87 | |
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| dot_recall@10 | 0.92 | |
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| dot_ndcg@5 | 0.6779 | |
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| dot_ndcg@10 | 0.6934 | |
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| dot_ndcg@100 | 0.7122 | |
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| dot_mrr@5 | 0.6127 | |
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| dot_mrr@10 | 0.6188 | |
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| dot_mrr@100 | 0.6234 | |
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| dot_map@100 | 0.6234 | |
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<!-- |
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## Bias, Risks and Limitations |
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*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.* |
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--> |
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<!-- |
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### Recommendations |
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*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.* |
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--> |
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## Training Details |
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### Training Hyperparameters |
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#### Non-Default Hyperparameters |
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- `eval_strategy`: steps |
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- `gradient_accumulation_steps`: 4 |
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- `learning_rate`: 1e-05 |
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- `weight_decay`: 0.01 |
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- `num_train_epochs`: 1.0 |
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- `warmup_ratio`: 0.1 |
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- `load_best_model_at_end`: True |
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#### All Hyperparameters |
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<details><summary>Click to expand</summary> |
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- `overwrite_output_dir`: False |
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- `do_predict`: False |
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- `eval_strategy`: steps |
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- `prediction_loss_only`: True |
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- `per_device_train_batch_size`: 8 |
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- `per_device_eval_batch_size`: 8 |
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- `per_gpu_train_batch_size`: None |
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- `per_gpu_eval_batch_size`: None |
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- `gradient_accumulation_steps`: 4 |
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- `eval_accumulation_steps`: None |
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- `learning_rate`: 1e-05 |
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- `weight_decay`: 0.01 |
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- `adam_beta1`: 0.9 |
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- `adam_beta2`: 0.999 |
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- `adam_epsilon`: 1e-08 |
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- `max_grad_norm`: 1.0 |
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- `num_train_epochs`: 1.0 |
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- `max_steps`: -1 |
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- `lr_scheduler_type`: linear |
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- `lr_scheduler_kwargs`: {} |
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- `warmup_ratio`: 0.1 |
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- `warmup_steps`: 0 |
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- `log_level`: passive |
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- `log_level_replica`: warning |
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- `log_on_each_node`: True |
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- `logging_nan_inf_filter`: True |
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- `save_safetensors`: True |
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- `save_on_each_node`: False |
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- `save_only_model`: False |
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- `restore_callback_states_from_checkpoint`: False |
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- `no_cuda`: False |
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- `use_cpu`: False |
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- `use_mps_device`: False |
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- `seed`: 42 |
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- `data_seed`: None |
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- `jit_mode_eval`: False |
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- `use_ipex`: False |
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- `bf16`: False |
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- `fp16`: False |
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- `fp16_opt_level`: O1 |
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- `half_precision_backend`: auto |
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- `bf16_full_eval`: False |
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- `fp16_full_eval`: False |
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- `tf32`: None |
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- `local_rank`: 0 |
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- `ddp_backend`: None |
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- `tpu_num_cores`: None |
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- `tpu_metrics_debug`: False |
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- `debug`: [] |
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- `dataloader_drop_last`: False |
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- `dataloader_num_workers`: 0 |
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- `dataloader_prefetch_factor`: None |
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- `past_index`: -1 |
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- `disable_tqdm`: False |
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- `remove_unused_columns`: True |
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- `label_names`: None |
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- `load_best_model_at_end`: True |
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- `ignore_data_skip`: False |
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- `fsdp`: [] |
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- `fsdp_min_num_params`: 0 |
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- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False} |
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- `fsdp_transformer_layer_cls_to_wrap`: None |
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- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None} |
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- `deepspeed`: None |
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- `label_smoothing_factor`: 0.0 |
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- `optim`: adamw_torch |
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- `optim_args`: None |
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- `adafactor`: False |
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- `group_by_length`: False |
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- `length_column_name`: length |
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- `ddp_find_unused_parameters`: None |
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- `ddp_bucket_cap_mb`: None |
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- `ddp_broadcast_buffers`: False |
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- `dataloader_pin_memory`: True |
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- `dataloader_persistent_workers`: False |
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- `skip_memory_metrics`: True |
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- `use_legacy_prediction_loop`: False |
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- `push_to_hub`: False |
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- `resume_from_checkpoint`: None |
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- `hub_model_id`: None |
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- `hub_strategy`: every_save |
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- `hub_private_repo`: False |
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- `hub_always_push`: False |
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- `gradient_checkpointing`: False |
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- `gradient_checkpointing_kwargs`: None |
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- `include_inputs_for_metrics`: False |
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- `eval_do_concat_batches`: True |
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- `fp16_backend`: auto |
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- `push_to_hub_model_id`: None |
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- `push_to_hub_organization`: None |
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- `mp_parameters`: |
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- `auto_find_batch_size`: False |
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- `full_determinism`: False |
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- `torchdynamo`: None |
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- `ray_scope`: last |
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- `ddp_timeout`: 1800 |
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- `torch_compile`: False |
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- `torch_compile_backend`: None |
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- `torch_compile_mode`: None |
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- `dispatch_batches`: None |
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- `split_batches`: None |
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- `include_tokens_per_second`: False |
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- `include_num_input_tokens_seen`: False |
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- `neftune_noise_alpha`: None |
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- `optim_target_modules`: None |
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- `batch_eval_metrics`: False |
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- `batch_sampler`: batch_sampler |
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- `multi_dataset_batch_sampler`: proportional |
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</details> |
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### Training Logs |
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| Epoch | Step | Training Loss | loss | val_evaluator_cosine_map@100 | |
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|:---------:|:------:|:-------------:|:----------:|:----------------------------:| |
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| **0.531** | **15** | **0.511** | **0.1405** | **0.6234** | |
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| 0.9912 | 28 | - | 0.1405 | 0.6234 | |
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* The bold row denotes the saved checkpoint. |
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### Framework Versions |
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- Python: 3.10.14 |
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- Sentence Transformers: 3.0.1 |
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- Transformers: 4.41.1 |
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- PyTorch: 2.3.0+cu121 |
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- Accelerate: 0.27.2 |
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- Datasets: 2.19.1 |
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- Tokenizers: 0.19.1 |
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## Citation |
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### BibTeX |
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#### Sentence Transformers |
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```bibtex |
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@inproceedings{reimers-2019-sentence-bert, |
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title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks", |
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author = "Reimers, Nils and Gurevych, Iryna", |
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booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing", |
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month = "11", |
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year = "2019", |
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publisher = "Association for Computational Linguistics", |
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url = "https://arxiv.org/abs/1908.10084", |
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} |
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``` |
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#### GISTEmbedLoss |
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```bibtex |
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@misc{solatorio2024gistembed, |
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title={GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning}, |
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author={Aivin V. Solatorio}, |
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year={2024}, |
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eprint={2402.16829}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.LG} |
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} |
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``` |
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*Clearly define terms in order to be accessible across audiences.* |
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*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.* |
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