metadata
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 model finetuned from 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
- Maximum Sequence Length: 512 tokens
- Output Dimensionality: 384 tokens
- Similarity Function: Cosine Similarity
Model Sources
- Documentation: Sentence Transformers Documentation
- Repository: Sentence Transformers on GitHub
- Hugging Face: Sentence Transformers on Hugging Face
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:
pip install -U sentence-transformers
Then you can load this model and run inference.
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
| 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: stepsgradient_accumulation_steps: 4learning_rate: 1e-05weight_decay: 0.01num_train_epochs: 1.0warmup_ratio: 0.1load_best_model_at_end: True
All Hyperparameters
Click to expand
overwrite_output_dir: Falsedo_predict: Falseeval_strategy: stepsprediction_loss_only: Trueper_device_train_batch_size: 8per_device_eval_batch_size: 8per_gpu_train_batch_size: Noneper_gpu_eval_batch_size: Nonegradient_accumulation_steps: 4eval_accumulation_steps: Nonetorch_empty_cache_steps: Nonelearning_rate: 1e-05weight_decay: 0.01adam_beta1: 0.9adam_beta2: 0.999adam_epsilon: 1e-08max_grad_norm: 1.0num_train_epochs: 1.0max_steps: -1lr_scheduler_type: linearlr_scheduler_kwargs: {}warmup_ratio: 0.1warmup_steps: 0log_level: passivelog_level_replica: warninglog_on_each_node: Truelogging_nan_inf_filter: Truesave_safetensors: Truesave_on_each_node: Falsesave_only_model: Falserestore_callback_states_from_checkpoint: Falseno_cuda: Falseuse_cpu: Falseuse_mps_device: Falseseed: 42data_seed: Nonejit_mode_eval: Falseuse_ipex: Falsebf16: Falsefp16: Falsefp16_opt_level: O1half_precision_backend: autobf16_full_eval: Falsefp16_full_eval: Falsetf32: Nonelocal_rank: 0ddp_backend: Nonetpu_num_cores: Nonetpu_metrics_debug: Falsedebug: []dataloader_drop_last: Falsedataloader_num_workers: 0dataloader_prefetch_factor: Nonepast_index: -1disable_tqdm: Falseremove_unused_columns: Truelabel_names: Noneload_best_model_at_end: Trueignore_data_skip: Falsefsdp: []fsdp_min_num_params: 0fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}fsdp_transformer_layer_cls_to_wrap: Noneaccelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}deepspeed: Nonelabel_smoothing_factor: 0.0optim: adamw_torchoptim_args: Noneadafactor: Falsegroup_by_length: Falselength_column_name: lengthddp_find_unused_parameters: Noneddp_bucket_cap_mb: Noneddp_broadcast_buffers: Falsedataloader_pin_memory: Truedataloader_persistent_workers: Falseskip_memory_metrics: Trueuse_legacy_prediction_loop: Falsepush_to_hub: Falseresume_from_checkpoint: Nonehub_model_id: Nonehub_strategy: every_savehub_private_repo: Falsehub_always_push: Falsegradient_checkpointing: Falsegradient_checkpointing_kwargs: Noneinclude_inputs_for_metrics: Falseeval_do_concat_batches: Truefp16_backend: autopush_to_hub_model_id: Nonepush_to_hub_organization: Nonemp_parameters:auto_find_batch_size: Falsefull_determinism: Falsetorchdynamo: Noneray_scope: lastddp_timeout: 1800torch_compile: Falsetorch_compile_backend: Nonetorch_compile_mode: Nonedispatch_batches: Nonesplit_batches: Noneinclude_tokens_per_second: Falseinclude_num_input_tokens_seen: Falseneftune_noise_alpha: Noneoptim_target_modules: Nonebatch_eval_metrics: Falseeval_on_start: Falseeval_use_gather_object: Falsebatch_sampler: batch_samplermulti_dataset_batch_sampler: proportional
Training Logs
| Epoch | Step | Training Loss | loss | val_evaluator_cosine_map@100 |
|---|---|---|---|---|
| 0.531 | 15 | 0.5565 | 0.0661 | 0.6731 |
| 0.9912 | 28 | - | 0.0661 | 0.6731 |
- The bold row denotes the saved checkpoint.
Framework Versions
- Python: 3.10.14
- Sentence Transformers: 3.0.1
- Transformers: 4.43.4
- PyTorch: 2.4.0+cu121
- Accelerate: 0.33.0
- Datasets: 2.21.0
- Tokenizers: 0.19.1
Citation
BibTeX
Sentence Transformers
@inproceedings{reimers-2019-sentence-bert,
title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
author = "Reimers, Nils and Gurevych, Iryna",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
month = "11",
year = "2019",
publisher = "Association for Computational Linguistics",
url = "https://arxiv.org/abs/1908.10084",
}
GISTEmbedLoss
@misc{solatorio2024gistembed,
title={GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning},
author={Aivin V. Solatorio},
year={2024},
eprint={2402.16829},
archivePrefix={arXiv},
primaryClass={cs.LG}
}