---
base_model: BAAI/bge-small-en-v1.5
datasets: []
language: []
library_name: sentence-transformers
metrics:
- cosine_accuracy@1
- cosine_accuracy@5
- cosine_accuracy@10
- cosine_precision@1
- cosine_precision@5
- cosine_precision@10
- cosine_recall@1
- cosine_recall@5
- cosine_recall@10
- cosine_ndcg@5
- cosine_ndcg@10
- cosine_ndcg@100
- cosine_mrr@5
- cosine_mrr@10
- cosine_mrr@100
- cosine_map@100
- dot_accuracy@1
- dot_accuracy@5
- dot_accuracy@10
- dot_precision@1
- dot_precision@5
- dot_precision@10
- dot_recall@1
- dot_recall@5
- dot_recall@10
- dot_ndcg@5
- dot_ndcg@10
- dot_ndcg@100
- dot_mrr@5
- dot_mrr@10
- dot_mrr@100
- dot_map@100
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:900
- loss:GISTEmbedLoss
widget:
- source_sentence: How can I contact the National Co-operative Development Corporation?
sentences:
- '''1.1 Chhattisgarh is among the few states in India that have recorded impressive
growth in agriculture in recent years. Development of farmers own institutions
catering to their various needs, has kept pace with the agricultural growth. As
on 30 September 2014, the state had 3,679 farmers clubs (FCs). There were eight
federations of farmer clubs in the state, five in Mahasamund, two in Bilaspur
and one in Mungeli district. In Bilaspur and Mungeli districts (the study area),
300 FCs were formed, of which 201 were active. Majority of the farmer clubs (129
clubs) were formed by the Regional Rural Bank (Gramin Bank). Other promoting institutions
include Chhattisgarh Agricon Samiti (30), CARMDAKSH (12), SBI (12), ARDB (8) and
IFFDC (5). While all the clubs were active in the initial three years, many slipped
into dormancy through inaction and non-availability of hand-holding support. These
clubs did not have any vision or roadmap for the future. 1.2 The Chhattisgarh
RO and DDM Bilaspur were keen to make the farmer clubs a sustainable entity and
felt the need to federate the clubs to a higher tier so as to make the entire
farmer clubs programme sustainable and the organization a viable model. With this
in view, the farmer clubs were federated into four farmer club federations and
were registered under ''Chhattisgarh Society Registrikaran Adhiniyam, 1973'' in
the year 2012.'''
- '''10.1 Under the scheme, financial support to Farmer Producer Organization (FPO) @
up to maximum of Rs. 18 lakh / FPO or actual, whichever is lesser is to be provided
during three years from the year of formation. The financial support is not meant
for reimbursing the entire administrative and management cost of FPO but it is
to provide the financial support to the FPOs to the extent provided to make
them sustainable and economically viable. Hence, the fourth year onwards of formation,
the FPO has to manage their financial support from their own business activities.
The indicative financial support broadly covers (i) the support for salary of
its CEO/Manager (maximum up to Rs.25000/month) and Accountant (maximum up to Rs.
10000/month); (ii) one time registration cost(one time up to maximum Rs. 40000
or actual whichever is lower); (iii) office rent (maximum up to Rs. 48,000/year);
(iv) utility charges (electricity and telephone charges of office of FPO maximum
up to Rs. 12000/year); (v) one-time cost for minor equipment (including furniture
and fixture maximum up to Rs. 20,000); (vi) travel and meeting cost (maximum up
to Rs.18,000/year); and (vii) misc. (cleaning, stationery etc. maximum up to Rs.
12,000/year). Any expenditure of operations, management, working capital requirement
and infrastructure development etc., over and above this, will be met by the FPOs
from their financial resources. 10.2 FPO being organization of farmers, it does
not become feasible for FPO itself to professionally administer its activities
and day to day business, therefore, FPO requires some professionally equipped
Manager/CEO to administer its activities and day to day business with a sole objective
to make FPO economically sustainable and farmers'' benefiting agri-enterprise.
Not only for business development but the value of professional is immense in
democratizing the FPOs and strengthening its governing system.'''
- '''Risk Analysis For further information, please contact: Chief General Manager,
Managing Director Small Farmers'' Agri- Business Consortium, National Bank for
Agriculture & Rural Head office, NCUI Auditorium Development, **NABARD**, Building
C-24, ''G'' Block, 5th floor, 3, Siri Institutional Area Bandra-Kurla Complex,
August Kranti Marg, Hauz Bandra East, Khas, Mumbai - 400051 New Delhi-110016 Tel:
022- Tel: 011-41060075, 26966017 26539530,26539500 e-mail: 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
- type: dot_recall@1
value: 0.51
name: Dot Recall@1
- type: dot_recall@5
value: 0.89
name: Dot Recall@5
- type: dot_recall@10
value: 0.93
name: Dot Recall@10
- type: dot_ndcg@5
value: 0.7199414259514458
name: Dot Ndcg@5
- type: dot_ndcg@10
value: 0.7332305184181033
name: Dot Ndcg@10
- type: dot_ndcg@100
value: 0.7506961623500871
name: Dot Ndcg@100
- type: dot_mrr@5
value: 0.6626666666666666
name: Dot Mrr@5
- type: dot_mrr@10
value: 0.6683611111111114
name: Dot Mrr@10
- type: dot_mrr@100
value: 0.6730785505344332
name: Dot Mrr@100
- type: dot_map@100
value: 0.6730785505344328
name: Dot Map@100
---
# SentenceTransformer based on BAAI/bge-small-en-v1.5
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5). It maps sentences & paragraphs to a 384-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
## Model Details
### Model Description
- **Model Type:** Sentence Transformer
- **Base model:** [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5)
- **Maximum Sequence Length:** 512 tokens
- **Output Dimensionality:** 384 tokens
- **Similarity Function:** Cosine Similarity
### Model Sources
- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)
### Full Model Architecture
```
SentenceTransformer(
(0): Transformer({'max_seq_length': 512, 'do_lower_case': True}) with Transformer model: BertModel
(1): Pooling({'word_embedding_dimension': 384, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
(2): Normalize()
)
```
## Usage
### Direct Usage (Sentence Transformers)
First install the Sentence Transformers library:
```bash
pip install -U sentence-transformers
```
Then you can load this model and run inference.
```python
from sentence_transformers import SentenceTransformer
# Download from the 🤗 Hub
model = SentenceTransformer("smokxy/embedding_finetuned")
# Run inference
sentences = [
'What is the requirement of Aadhaar for crop loan or Kisan Credit Card (KCC) under the Interest Subvention Scheme?',
"'6.3.1 Aadhaar has been made mandatory for availing Crop insurance from Kharif 2017 season onwards. Therefore, all banks are advised to mandatorily obtain Aadhaar number of their farmers and the same applies for non-loanee farmers enrolled through banks/Insurance companies/insurance intermediaries. 6.3.2 Farmers not having Aadhaar ID may also enrol under PMFBY subject to their enrolment for Aadhaar and submission of proof of such enrolment as per notification No. 334.dated 8th February, 2017 issued by GOI under Section 7 of Aadhaar Act 2016(Targeted Delivery of Financial and other Subsidies, Benefits and Services). Copy of the notification may be perused on www.pmfby.gov.in. This may be subject to further directions issued by Govt. from time to time. 6.3.3 All banks have to compulsorily take Aadhaar/Aadhaar enrolment number as per notification under Aadhaar Act before sanction of crop loan/KCC under Interest Subvention Scheme. Hence the coverage of loanee farmers without Aadhaar does not arise and such accounts need to be reviewed by the concerned bank branch regularly.'",
"' Date……………………………… ……………………………… Signature of Branch Manager with branch seal Name…………………………………… … Designation …………………………………… ……………………………… ……………………………… Signature of Authorized Person in zonal office Name………………………………… Designation …………………………………… 5. Promoter's request letter List of Enclosures 1. Recommendation 9. List of shareholders addressed to the Bank Manager on original letter head of FPO confirmed by promoter and bank with amount of CGC sought on Bank's Original letterhead with date and dispatch number duly signed by the Branch Manager on each page. 2. Sanction letter of 6. Implementation Schedule 10. Affidavit of promoters that confirmed by the bank. they have not availed CGC from any other institution for sanctioned Credit Facility. sanctioning authority addressed to recommending branch. 3. Bank's approved 7. Up-to-date statement of account of 11. Field inspection report of Term loan and Cash Credit (if Sanctioned). Bank official as on recent date. Appraisal/Process note bearing signature of sanctioning authority. 4. Potential Impact on 8. a).Equity Certificate, C.A/CS * Pin Code at Column No. 1. a), certificate/RCS certificate 2. b), 2. c), 4. a) and 9. a) is Mandatory b). FORM-2, FORM-5 and FORM-23 filed with ROC for Company/RCS. small farmer producers 1. Social Impact, 2. Environmental Impact 3.'",
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 384]
# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]
```
## Evaluation
### Metrics
#### Information Retrieval
* Dataset: `val_evaluator`
* Evaluated with [InformationRetrievalEvaluator](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator)
| Metric | Value |
|:--------------------|:-----------|
| cosine_accuracy@1 | 0.51 |
| cosine_accuracy@5 | 0.89 |
| cosine_accuracy@10 | 0.93 |
| cosine_precision@1 | 0.51 |
| cosine_precision@5 | 0.178 |
| cosine_precision@10 | 0.093 |
| cosine_recall@1 | 0.51 |
| cosine_recall@5 | 0.89 |
| cosine_recall@10 | 0.93 |
| cosine_ndcg@5 | 0.7199 |
| cosine_ndcg@10 | 0.7332 |
| cosine_ndcg@100 | 0.7507 |
| cosine_mrr@5 | 0.6627 |
| cosine_mrr@10 | 0.6684 |
| cosine_mrr@100 | 0.6731 |
| **cosine_map@100** | **0.6731** |
| dot_accuracy@1 | 0.51 |
| dot_accuracy@5 | 0.89 |
| dot_accuracy@10 | 0.93 |
| dot_precision@1 | 0.51 |
| dot_precision@5 | 0.178 |
| dot_precision@10 | 0.093 |
| dot_recall@1 | 0.51 |
| dot_recall@5 | 0.89 |
| dot_recall@10 | 0.93 |
| dot_ndcg@5 | 0.7199 |
| dot_ndcg@10 | 0.7332 |
| dot_ndcg@100 | 0.7507 |
| dot_mrr@5 | 0.6627 |
| dot_mrr@10 | 0.6684 |
| dot_mrr@100 | 0.6731 |
| dot_map@100 | 0.6731 |
## Training Details
### Training Hyperparameters
#### Non-Default Hyperparameters
- `eval_strategy`: steps
- `gradient_accumulation_steps`: 4
- `learning_rate`: 1e-05
- `weight_decay`: 0.01
- `num_train_epochs`: 1.0
- `warmup_ratio`: 0.1
- `load_best_model_at_end`: True
#### All Hyperparameters
Click to expand
- `overwrite_output_dir`: False
- `do_predict`: False
- `eval_strategy`: steps
- `prediction_loss_only`: True
- `per_device_train_batch_size`: 8
- `per_device_eval_batch_size`: 8
- `per_gpu_train_batch_size`: None
- `per_gpu_eval_batch_size`: None
- `gradient_accumulation_steps`: 4
- `eval_accumulation_steps`: None
- `torch_empty_cache_steps`: None
- `learning_rate`: 1e-05
- `weight_decay`: 0.01
- `adam_beta1`: 0.9
- `adam_beta2`: 0.999
- `adam_epsilon`: 1e-08
- `max_grad_norm`: 1.0
- `num_train_epochs`: 1.0
- `max_steps`: -1
- `lr_scheduler_type`: linear
- `lr_scheduler_kwargs`: {}
- `warmup_ratio`: 0.1
- `warmup_steps`: 0
- `log_level`: passive
- `log_level_replica`: warning
- `log_on_each_node`: True
- `logging_nan_inf_filter`: True
- `save_safetensors`: True
- `save_on_each_node`: False
- `save_only_model`: False
- `restore_callback_states_from_checkpoint`: False
- `no_cuda`: False
- `use_cpu`: False
- `use_mps_device`: False
- `seed`: 42
- `data_seed`: None
- `jit_mode_eval`: False
- `use_ipex`: False
- `bf16`: False
- `fp16`: False
- `fp16_opt_level`: O1
- `half_precision_backend`: auto
- `bf16_full_eval`: False
- `fp16_full_eval`: False
- `tf32`: None
- `local_rank`: 0
- `ddp_backend`: None
- `tpu_num_cores`: None
- `tpu_metrics_debug`: False
- `debug`: []
- `dataloader_drop_last`: False
- `dataloader_num_workers`: 0
- `dataloader_prefetch_factor`: None
- `past_index`: -1
- `disable_tqdm`: False
- `remove_unused_columns`: True
- `label_names`: None
- `load_best_model_at_end`: True
- `ignore_data_skip`: False
- `fsdp`: []
- `fsdp_min_num_params`: 0
- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
- `fsdp_transformer_layer_cls_to_wrap`: None
- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
- `deepspeed`: None
- `label_smoothing_factor`: 0.0
- `optim`: adamw_torch
- `optim_args`: None
- `adafactor`: False
- `group_by_length`: False
- `length_column_name`: length
- `ddp_find_unused_parameters`: None
- `ddp_bucket_cap_mb`: None
- `ddp_broadcast_buffers`: False
- `dataloader_pin_memory`: True
- `dataloader_persistent_workers`: False
- `skip_memory_metrics`: True
- `use_legacy_prediction_loop`: False
- `push_to_hub`: False
- `resume_from_checkpoint`: None
- `hub_model_id`: None
- `hub_strategy`: every_save
- `hub_private_repo`: False
- `hub_always_push`: False
- `gradient_checkpointing`: False
- `gradient_checkpointing_kwargs`: None
- `include_inputs_for_metrics`: False
- `eval_do_concat_batches`: True
- `fp16_backend`: auto
- `push_to_hub_model_id`: None
- `push_to_hub_organization`: None
- `mp_parameters`:
- `auto_find_batch_size`: False
- `full_determinism`: False
- `torchdynamo`: None
- `ray_scope`: last
- `ddp_timeout`: 1800
- `torch_compile`: False
- `torch_compile_backend`: None
- `torch_compile_mode`: None
- `dispatch_batches`: None
- `split_batches`: None
- `include_tokens_per_second`: False
- `include_num_input_tokens_seen`: False
- `neftune_noise_alpha`: None
- `optim_target_modules`: None
- `batch_eval_metrics`: False
- `eval_on_start`: False
- `eval_use_gather_object`: False
- `batch_sampler`: batch_sampler
- `multi_dataset_batch_sampler`: proportional