|
--- |
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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: |
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- sentence-transformers |
|
- sentence-similarity |
|
- feature-extraction |
|
- generated_from_trainer |
|
- dataset_size:900 |
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- 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: sfac@nic.in Website: |
|
www.sfacindia.com csr.murthy@nabard.org, fsdd@nabard.org 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: mdrc-dac@gov.in |
|
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: mail@ncdc.in 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 |
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- type: dot_recall@1 |
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value: 0.51 |
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name: Dot Recall@1 |
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- type: dot_recall@5 |
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value: 0.89 |
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name: Dot Recall@5 |
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- type: dot_recall@10 |
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value: 0.93 |
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name: Dot Recall@10 |
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- type: dot_ndcg@5 |
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value: 0.7199414259514458 |
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name: Dot Ndcg@5 |
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- type: dot_ndcg@10 |
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value: 0.7332305184181033 |
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name: Dot Ndcg@10 |
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- type: dot_ndcg@100 |
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value: 0.7506961623500871 |
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name: Dot Ndcg@100 |
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- type: dot_mrr@5 |
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value: 0.6626666666666666 |
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name: Dot Mrr@5 |
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- type: dot_mrr@10 |
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value: 0.6683611111111114 |
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name: Dot Mrr@10 |
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- type: dot_mrr@100 |
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value: 0.6730785505344332 |
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name: Dot Mrr@100 |
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- type: dot_map@100 |
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value: 0.6730785505344328 |
|
name: Dot Map@100 |
|
--- |
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|
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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 is the requirement of Aadhaar for crop loan or Kisan Credit Card (KCC) under the Interest Subvention Scheme?', |
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"'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.'", |
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"' 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.'", |
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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 | 0.51 | |
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| cosine_accuracy@5 | 0.89 | |
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| cosine_accuracy@10 | 0.93 | |
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| cosine_precision@1 | 0.51 | |
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| cosine_precision@5 | 0.178 | |
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| cosine_precision@10 | 0.093 | |
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| cosine_recall@1 | 0.51 | |
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| cosine_recall@5 | 0.89 | |
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| cosine_recall@10 | 0.93 | |
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| cosine_ndcg@5 | 0.7199 | |
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| cosine_ndcg@10 | 0.7332 | |
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| cosine_ndcg@100 | 0.7507 | |
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| cosine_mrr@5 | 0.6627 | |
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| cosine_mrr@10 | 0.6684 | |
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| cosine_mrr@100 | 0.6731 | |
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| **cosine_map@100** | **0.6731** | |
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| dot_accuracy@1 | 0.51 | |
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| dot_accuracy@5 | 0.89 | |
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| dot_accuracy@10 | 0.93 | |
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| dot_precision@1 | 0.51 | |
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| dot_precision@5 | 0.178 | |
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| dot_precision@10 | 0.093 | |
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| dot_recall@1 | 0.51 | |
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| dot_recall@5 | 0.89 | |
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| dot_recall@10 | 0.93 | |
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| dot_ndcg@5 | 0.7199 | |
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| dot_ndcg@10 | 0.7332 | |
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| dot_ndcg@100 | 0.7507 | |
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| dot_mrr@5 | 0.6627 | |
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| dot_mrr@10 | 0.6684 | |
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| dot_mrr@100 | 0.6731 | |
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| dot_map@100 | 0.6731 | |
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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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### 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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- `torch_empty_cache_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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- `eval_on_start`: False |
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- `eval_use_gather_object`: 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** | **0.5565** | **0.0661** | **0.6731** | |
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| 0.9912 | 28 | - | 0.0661 | 0.6731 | |
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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: 4.43.4 |
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- PyTorch: 2.4.0+cu121 |
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- Accelerate: 0.33.0 |
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- Datasets: 2.21.0 |
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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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