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pytorch_model.bin upload/update

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  1. README.md +365 -391
  2. config.json +1 -1
  3. config_sentence_transformers.json +2 -2
  4. model.safetensors +1 -1
README.md CHANGED
@@ -1,15 +1,8 @@
1
  ---
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- language: []
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- library_name: sentence-transformers
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- tags:
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- - sentence-transformers
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- - sentence-similarity
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- - feature-extraction
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- - generated_from_trainer
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- - dataset_size:900
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- - loss:GISTEmbedLoss
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  base_model: BAAI/bge-small-en-v1.5
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  datasets: []
 
 
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  metrics:
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  - cosine_accuracy@1
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  - cosine_accuracy@5
@@ -43,58 +36,265 @@ metrics:
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  - dot_mrr@10
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  - dot_mrr@100
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  - dot_map@100
 
 
 
 
 
 
 
 
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  widget:
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- - source_sentence: What will be used for the identification of beneficiaries?
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  sentences:
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- - '''for loanee and within 30 days for non loanee i.e. 15th Aug for Kharif and
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- 15th Jan for Rabi for loanee and 31st Aug for Kharif and 31st Jan for Rabi
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- for Non Loanee 13 Within 7 days from the date of intimation by ICs CSCs/Banks/
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- Intermediary Cut-off date for CSCs/Banks/Intermediary to correct/update the paid
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- application intimated by ICs on Crop Insurance Portal 14 Cut-off date for Insurer
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- to accept the corrected/updated applications Within 7 days from the date of
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- submission of correction/updation by the Bank/CSC Insurance Companies 15 Within
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- 7 days from acceptance of proposal by concerned Insurance Company on Portal Cut-off
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- date for Banks/ICs to hand over insurance acknowledgement receipt along with folio
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- to the insured farmer Banks/ICs for enrolment through their intermediaries 16 Cut
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- off date for processing of applications by ICs and auto approval of application
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- of insured farmers on crop insurance Portal 60 days from the cut off date for
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- enrolment/debit of premium from farmers i.e. 15th September for Kharif and 15th
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- February for Rabi seasons 17 Before cut off date of enrolment of farmers Insurance
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- Companies/GOI /State Cut off date for raising bills/requisitions with supporting
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- documents for releasing of advance premium subsidy based on 50% of 80% of respective
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- share of Centre/State in corresponding previous season 18 Release of advance
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- upfront premium subsidy (First Instalment)i.e. 50% of 80% of respective share
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- of Centre/State in corresponding previous season Within 15days of cut off date
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- of enrolment of farmers i.e. 31st July for Kharif Upto 15th August* 19 *state
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- may fix earlier dates for early Kharif crops Training and registration of field
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- level workers assigned for conduct of CCEs and reporting of the same on crop
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- insurance Portal through smart phones/CCE Agri App Upto31st August* *state 20 Registration
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- of mobile number of representative of ICs for co-witnessing of CCEs may fix earlier
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- dates for early Kharif crops At least 7 days before tentative date for conducting
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- CCEs 21 a) Uploading of tentative schedule/date for conducting CCEs (crop-wise/IU
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- wise) followed by SMS on one day notice through CCEs app.'''
76
- - '''8 Banks/PACS/CSC/ insurance agent/online enrolment by farmers etc. Upto
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- last date of enrolment of farmers as notified by States for notified crop(s)
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- or up to 15th July* for Kharif season Upto last date of enrolment of farmers as
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- notified by States for notified crop(s) or up to 15th December* for Rabi season Cut-off
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- date for receipt of Applications of farmers/debit of premium from farmers account
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- (loanee and non- loanee) by all stakeholders including banks/PACS/CSC/ insurance
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- agent/online enrolment by farmers etc. Note: *This is indicative only and district
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- wise crop calendar will be the final basis to arrive at cut off date 9 Declaration
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- of Prevented sowing State Govt./ IC Strictly within 15 days from cut off date
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- for enrolment of farmers i.e 31st July for Kharif and 31st Dec for Rabi 10 Banks/Portal Within
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- 15 days of cut-off date for enrolment of farmers/debit of premium for both loanee and non-
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- loanee farmers i.e. 31st July for Kharif and 31st Dec for Rabi Cut-off date
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- for electronic remittance of premium along with consolidated Declarations to
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- respective Insurance Company and uploading of details of individual covered farmers
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- on crop insurance Portal by Bank branches (CBs/ RRBs/DCCBs/PACs), followed by SMS
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- to all insured farmers from Portal 11 Within 48 Hours of receipt of application
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- & premium. Insurance companies and their agents Cut-off date for electronic
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- remittance of farmer premium to Insurance Companies for farmers covered on Voluntary
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- basis by designated insurance Agent(s) and uploading of details of individual
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- covered farmers on crop insurance Portal. Insurance Companies 12 Cut-off date
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- for Insurer to accept or reject the farmer''s data on Portal Within 15 days from
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- the cut-off date for uploading of data/information by Banks/PACS/CSC/Agent respectively.'''
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  - ''' This consent of the beneficiary should be \''to agree that the department
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  responsible for implementation of the Pradhan Mantri Kisan Samman Nidhi Yojana
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  in Union Government or the State Government / Union Territory Administration can
@@ -108,265 +308,36 @@ widget:
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  the beneficiaries. 6.4 The lists of eligible beneficiaries would be published
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  at the village level. Farmers'' families who are eligible but have been excluded
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  should be provided an opportunity to represent their case.'''
111
- - source_sentence: What are weather parameters related to crop condition?
112
- sentences:
113
- - '''i. \''Credit Facility\'' means any fund based credit facility extended by
114
- an Eligible Lending Institution (ELI) to an Eligible Borrower without any Collateral
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- Security or Third Party Guarantee ; ii. \''Credit Guarantee Fund\'' means the
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- Credit Guarantee Fund for FPOs created with NABARD and NCDC respectively under
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- the Scheme with matching grant from DAC&FW for the purpose of extending guarantee
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- to the eligible lending institution(s) against their collateral free lending to eligible
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- FPOs; iii. \''Eligible Lending Institution (ELI)\'' means a Scheduled Commercial
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- Bank for the time being included in the second Schedule to the Reserve Bank of
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- India Act, 1934, Regional Rural Banks, Co-operative Banks, Cooperative Credit Society,
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- NEDFI, or any other institution (s) as may be decided by the NABARD and/or NCDC,
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- as the case may be, in consultation with Government of India from time to time.
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- NABARD and NCDC can also finance, if they so desire with the approval of DAC&FW/N-PMFSC.
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- NBFCs and such other financing institutions with required net worth and track
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- record may also serve as Eligible Lending Institutions (ELIs), for lending to
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- FPOs with a moderate spread between their cost of capital and lending rate. However,
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- Standard Financial Sector Rating Agency should have rated NBFC **to be AAA**
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- to be considered as ELI; iv. \''Guarantee Cover\'' means maximum cover available
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- per eligible FPO borrower; v. \''Guarantee Fee\'' means the onetime fee at
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- a specified rate of the eligible credit facility sanctioned by the ELI, payable
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- by the ELI to NABARD or NCDC, as the case may be; and vi.'''
133
- - '''| Table No. |
134
- Topic |\n|--------------------------------------------------------------------------------------|-----------------------------------------------------------------------------|\n|
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- Para | |\n|
136
- Number | |\n|
137
- Table 1 |
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- Premium rate payable by the farmer |\n|
139
- Table 2 |
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- Seasonality Discipline |\n|
141
- Table 3 |
142
- Calculation of crop-wise Sum Insured |\n|
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- Table 4 |
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- Number of CCEs to be conducted at IU level |\n|
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- Table 5 |
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- Yield Calculation for multi-picking crop |\n|
147
- Table 6 | |\n|
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- Types of resolution to be used for vegetation index derivation for different | |\n|
149
- levels of analysis | |\n|
150
- 19.7 | |\n|
151
- Table 7 |
152
- Calculation of Threshold Yield |\n|
153
- Table 8 | |\n|
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- Detailed Procedure for On Account Payment of Claims due to Mid-Season | |\n|
155
- Adversity | |\n|
156
- 21.2.7.2 | |\n|
157
- Table 9 | |\n|
158
- Detailed Procedure and Timelines for payment of Prevented / Failed Sowing | |\n|
159
- and Prevented Planting / Germination Claims | |\n|
160
- 21.3.6.1 | |\n|
161
- Table 10 | |\n|
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- Detailed Procedure and Timelines for payment of | |\n|
163
- Post Harvest Loss | |\n| | |\n|
164
- 21.4.8.1 | |\n|
165
- Table 11 | |\n|
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- Detailed Procedure and Timelines for payment of | |\n|
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- localized claims | |\n| | |\n|
168
- 21.5.9.1 | |\n|
169
- Table 12 |
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- Criteria for Performance Evaluation and Ranking of Loss Assessment Agencies |\n|
171
- Table 13 | |\n|
172
- Illustration for classification of risks, clustering/clubbing of risks and districts
173
- | |\n|
174
- and determination of L1 bidder | |\n|
175
- Annexure 1 | |\n|
176
- Table 14 | |\n|
177
- Penalty and performance Monitoring/Evaluation of Empanelled Insurance | |\n|
178
- Companies | |\n|
179
- Annexure 2 | |\n|
180
- Table 15 |
181
- Illustrative Evaluation of Efficiency of Nodal Department of State |'''
182
- - '''gridded or satellite based data, Dry-spell Occurrence, Temperature Anomaly,
183
- Soil Moisture Analysis (either from satellite or model data) and any other available
184
- weather parameters (related to crop condition), either from ground or satellite
185
- data. Another rainfall based index, which can also be studied, is Standardized
186
- Precipitation Index (SPI). SPI can be developed using IMD gridded rainfall data
187
- or NOAA CPC rainfall data. However, while using gridded data (either from satellite
188
- or ground stations), appropriate resolution should be used at appropriate level.
189
- For example, 0.25 degree data should be used only at district level and not at
190
- block/village level. High resolution weather data can also be sourced from weather
191
- companies.'''
192
- - source_sentence: How is the amount realized by the ELI from the FPC shared between
193
- SFAC and ELI?
194
- sentences:
195
- - '''To substantiate the fact, the most successful example is of dairy co-operative
196
- in India where professional managers have contributed immensely to make it a success.
197
- There are other so many examples which prove the absolute requirement of professional
198
- managers. The number of professional staff could depend on geographical spread
199
- of business operation, diversity of activities and volume of business. However,
200
- an FPO should have minimum a CEO/Manager and an Accountant. Accountant is required
201
- in FPO to look after its day to day accounting work. Based on requirement, FPO
202
- can engage other staff also. 10.3 The CEO/Manager is to be appointed by the
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- executive body of the FPO who should be either graduate in agriculture / agriculture
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- marketing / agri-business management or BBA or equivalent. Locally available professionals
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- with 10+2 and preferably diploma in agriculture / agriculture marketing / agri-business
206
- management or in such other related areas may be preferable. The accountant should
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- have educational qualification of 10+2 with Mathematics as a compulsory subject
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- or alternatively with Commerce or Accountancy background. If any members of the
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- FPO meet the above criteria, they may be considered preferably in the selection
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- process. 10.4 Under the scheme, financial support towards salary of CEO/Manager
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- up to @ Rs. 25,000/- per month and of Accountant up to @ Rs.10,000/- per
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- month with annual increment up to 5% is to be provided from the earmarked financial
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- support for first 3 years only. Thereafter, FPOs will manage from their own resources
214
- to pay the salary of CEO/Manager and Accountant. In order to create interest
215
- of good professional activities of CEO/Accountant, the FPO may also offer higher
216
- payment with their own sources of funds on above of Govt. support. One CEO will
217
- provide full time services to one FPO at a time only.'''
218
- - '''7.3.1 Three levels of Indemnity, viz., 70%, 80% and 90%. SLCCCI in consultation
219
- with Insurance Companies shall approve indemnity levels for notified crops at
220
- district level. Threshold Yield (TY) shall be notified in the Tender for the
221
- current season and the same will be used for claim calculation for that season.
222
- The Average Yield of a notified crop in Insurance Unit (IU) will be average yield
223
- of best five years out of last seven years. The Threshold yield of the notified
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- crop is equal to Average Yield multiplied by Indemnity level. The Threshold Yield
225
- for any crop and IU shall compulsorily be part of the notification for the season
226
- and shall not change at any point during that season. 7.3.2 Calculation and
227
- Notification of Threshold Yield: For calculation of Threshold Yield, historical
228
- average yield of best five out of last seven years shall be considered. Further
229
- Threshold Yield should be defined only at notified area level and once notified
230
- in the Notification issued by the State should not be changed at later stage
231
- under any circumstances. In case of multi-year contract, the Threshold Yield for the
232
- subsequent years shall be revised by adding/considering the yields of immediate
233
- previous corresponding season. The revised TY and Sum Insured (if revised) should
234
- be notified accordingly at the beginning of each crop season in case of multi-year
235
- tender.'''
236
- - '''a. Only such Claim as is submitted by the ELI within a maximum period of one
237
- year from date of NPA or as specified by SFAC from time to time, shall be considered
238
- by SFAC. b. On receiving a claim, the I&CSC shall review in detail the reasons
239
- for the Default. The Committee reserves the right to reject any proposal where
240
- the Guidelines have not been strictly followed or if any misrepresentation or
241
- concealment of facts is found leading to undue favour to the concerned FPC. c.
242
- SFAC shall honour 75 per cent of the Guaranteed Amount in Default subject to a maximum
243
- of 75 per cent of the guaranteed cap amount, on submission of claim by the ELI
244
- where appropriate action for recovery has been initiated. The balance 25 per cent
245
- of the default or guaranteed cap amount, as the case may be, shall be paid on
246
- conclusion of recovery proceedings by ELI. d. SFAC shall pay claims found in
247
- order and complete in all respects, within 90 days. e. The outstanding dues of
248
- the FPC to ELI shall be reduced to the extent of the claim amount settled by
249
- SFAC. f. The ELI shall continue to make efforts to realise the balance amount
250
- due from the g. defaulting FPC even after settlement of the Guarantee. h. SFAC
251
- has the right to claim from the ELI any amount that is realised by the ELI from the
252
- defaulting FPC even after settlement of the guarantee amount. i. Any amount realized
253
- by the ELI from the FPC shall be shared in the ratio of 85%:15% between SFAC
254
- & ELI.'''
255
- - source_sentence: What directions is the lending institution bound to comply with?
256
- sentences:
257
- - ''' The I&CSC shall regularly keep the NABARD and NCDC, as the case may be, informed
258
- about all major decisions and actions taken by it in this regard, and shall work
259
- under its overall control and guidance with regard to the Fund and the Scheme.
260
- Simultaneously, the NABARD and NCDC will keep the N- PMAFSC apprised about such
261
- decisions and actions taken in this regard. v. Decisions regarding Guarantee
262
- Pay-Outs shall be the primary responsibility of I&CSC which shall meet at least
263
- once every quarter or as often as necessary. vi. The ELI may invoke the Guarantee
264
- in respect of Credit Facility within a maximum period of one year from the date
265
- of NPA, if the conditions set out by NABARD or NCDC, as the case may be , are
266
- met out .'''
267
- - ''' The lending institution shall be bound to comply with such directions as NABARD
268
- or NCDC, as the case may be, may deem fit to issue from time to time, for facilitating
269
- recoveries of the guaranteed account, or safeguarding its interest as a guarantor. ix. The
270
- lending institution shall, in particular, refrain from any act either before or
271
- subsequent to invocation of guarantee, which may adversely affect the interest
272
- of NABARD or NCDC, as the case may be, as the guarantor. x. The lending institution
273
- shall be bound under the Scheme to intimate in advance to NABARD or NCDC, as the
274
- case may be, its intention to enter into any compromise or arrangement, which
275
- may have effect of discharge or waiver of primary security. xi. Further, the
276
- lending institution shall secure for NABARD or NCDC, as the case may be, or
277
- its appointed agency, through a stipulation in an Agreement with the Borrower
278
- or otherwise, the right to list the defaulted Borrowers'' names and particulars
279
- on the Website of NABARD or NCDC, as the case may be or Integrated Portal'''
280
- - '''| AIC | Agricultural Insurance Company of India Ltd |\n|--------|----------------------------------------------------------------------------------------------|\n|
281
- ACF | Area Correction Factor |\n|
282
- APR | Actuarial Premium Rate |\n|
283
- ARG | Automatic Rain Gauge |\n|
284
- AWS | Automatic Weather Stations |\n|
285
- AY | Actual Yield |\n|
286
- CB | Commercial Banks |\n|
287
- CBS | Core Banking Solution |\n|
288
- CCAFS | Research program on Climate Change, Agriculture and Food Security |\n|
289
- CCEs | Crop Cutting Experiments |\n|
290
- CPMU | Central Program Management Unit |\n|
291
- CSC | Common Service Center |\n|
292
- CSO | Central Statistical Office |\n|
293
- CV | Co-efficient of Variance |\n|
294
- DAC&FW | Department of Agriculture, Cooperation and Farmers Welfare |\n|
295
- DBT | Direct Benefit Transfer |\n|
296
- DCCBs | District Central Cooperative Banks |\n|
297
- DLMC | District Level Monitoring Committee |\n|
298
- DLTC | District Level Technical Committee |\n|
299
- ESI | Expected Sum Insured |\n|
300
- FASAL | Forecasting Agricultural output using Space, Agro meteorological and
301
- Land based observations |\n| FIs | Financial Institutions |\n|
302
- GIC Re | General Insurance Corporation of India |\n|
303
- GFR | General Financial Rule |\n|
304
- GIS | Geographic Information System |\n|
305
- GPS | Global Positioning System |\n|
306
- IA | Implementing Agency |\n|
307
- IC | Insurance Company |\n|
308
- IASRI | Indian Agricultural Statistical Research Institute |\n|
309
- IFPRI | International Food Policy Research Institute |\n|
310
- IMD | Indian Meteorological Department |\n|
311
- IRRI | International Rice Research Institute |\n|
312
- IRDAI | Insurance Regulatory and Development Authority of India |\n|
313
- ISRO | Indian Space Research Organisation |\n|
314
- ISS | Interest Subvention Scheme |\n|
315
- IT | Information Technology |\n|
316
- IU | Insurance Unit |\n|
317
- KCC | Kisan Credit Cards |\n|
318
- LC | Loss Cost |\n|
319
- LPA | Long period Average |\n|
320
- LPC | Land Possession Certificate |\n|
321
- MIS | Management Information System |\n|
322
- MNCFC | Mahalanobis National Crop Forecast Centre |\n|
323
- MOA&FW | Ministry of Agriculture and Farmers Welfare |'''
324
- - source_sentence: How can we identify outliers in crop yield?
325
- sentences:
326
- - '''(i) It will closely monitor and review the progress of FPO development and functioning
327
- by holding its regular meetings. (ii) It will suggest the potential produce
328
- clusters in the district (where FPOs can be formed & promoted) to N-PMAFSC and
329
- will also assist Implementing Agencies, CBBOs and other stakeholders in identification
330
- of cluster(s) and activity (ies) and also in mobilization of farmers. (iii) It
331
- will resolve the financial constraints of FPOs through District Level Bankers'' Committee
332
- and provide feedback to N-PMAFSC. (iv) It will identify the constraints in implementation
333
- of scheme at the ground level and communicate the same to State Level Consultative
334
- Committee for further taking up the matter with DAC&FW and N-PMAFSC for appropriate
335
- policy decision. (v) Any other matter so decided by the committee in the interest
336
- of the scheme and farmers. 14.4 Close and effective monitoring has been considered
337
- a major trigger for success of this scheme. Therefore, in addition to three tiered
338
- afore-stated structured mechanism for monitoring of the scheme, there shall be
339
- continuous in-house monitoring by DAC&FW and by the Implementing Agencies also.
340
- The DAC&FW may utilize the services of Directorate of Marketing & Inspection (DMI),
341
- which has existence through its Regional & Sub-Offices across the country. For
342
- effective monitoring, DAC&FW may engage consultants also and cost for same will
343
- be borne from the budget of the scheme itself.'''
344
- - '''Under CGF, NABARD and NCDC, as the case may be, shall cover: i. Fund based
345
- Credit facilities already sanctioned / extended within six months from the date
346
- of the application for the Guarantee Cover or intended to be extended singly or
347
- jointly by one or more than one Eligible Lending Institution (ELI) to a single
348
- eligible FPO borrower by way of term loan and/or working capital/composite credit
349
- facilities without any collateral security and/or third party guarantees. ii.
350
- The ELI can extend credit without any limit; however, the Guarantee Cover shall be
351
- limited to the maximum guarantee cover specified under the Scheme. iii. Non-Banking
352
- Financial Companies (NBFCs) and such other Financial Institutions (FIs) with
353
- required net worth, track record and rating of AAA may also be accommodated
354
- as Eligible Lending Institutions (ELIs), such NBFC should on-ward lend to FPOs
355
- with a moderate spread between their cost of capital and lending rate.'''
356
- - '''Identification of Outliers: All these above analyses can be used to check whether
357
- there was any reason for yield deviation as presented in the CCE data. Then a
358
- yield proxy map may be prepared. The Yield proxy map can be derived from remote
359
- sensing vegetation indices (single or combination of indices), crop simulation
360
- model output, or an integration of various parameters, which are related to crop
361
- yield, such as soil, weather (gridded), satellite based products, etc. Whatever,
362
- yield proxies to be used, it is the responsibility of the organization to record documentary
363
- evidence (from their or other''s published work) that the yield proxy is related
364
- to the particular crop''s yield. Then the IU level yields need to be overlaid
365
- on the yield proxy map. Both yield proxy and CCE yield can be divided into 4-5
366
- categories (e.g. Very good, Good, Medium, Poor, Very poor). Wherever there is
367
- large mismatch between yield proxy and the CCE yield (more than 2 levels), the
368
- CCE yield for that IU can be considered, as outliers.'''
369
- pipeline_tag: sentence-similarity
370
  model-index:
371
  - name: SentenceTransformer based on BAAI/bge-small-en-v1.5
372
  results:
@@ -378,100 +349,100 @@ model-index:
378
  type: val_evaluator
379
  metrics:
380
  - type: cosine_accuracy@1
381
- value: 0.48
382
  name: Cosine Accuracy@1
383
  - type: cosine_accuracy@5
384
- value: 0.88
385
  name: Cosine Accuracy@5
386
  - type: cosine_accuracy@10
387
- value: 0.95
388
  name: Cosine Accuracy@10
389
  - type: cosine_precision@1
390
- value: 0.48
391
  name: Cosine Precision@1
392
  - type: cosine_precision@5
393
- value: 0.17599999999999993
394
  name: Cosine Precision@5
395
  - type: cosine_precision@10
396
- value: 0.09499999999999999
397
  name: Cosine Precision@10
398
  - type: cosine_recall@1
399
- value: 0.48
400
  name: Cosine Recall@1
401
  - type: cosine_recall@5
402
- value: 0.88
403
  name: Cosine Recall@5
404
  - type: cosine_recall@10
405
- value: 0.95
406
  name: Cosine Recall@10
407
  - type: cosine_ndcg@5
408
- value: 0.7065704999222873
409
  name: Cosine Ndcg@5
410
  - type: cosine_ndcg@10
411
- value: 0.7288298734374183
412
  name: Cosine Ndcg@10
413
  - type: cosine_ndcg@100
414
- value: 0.7407135931762043
415
  name: Cosine Ndcg@100
416
  - type: cosine_mrr@5
417
- value: 0.6475
418
  name: Cosine Mrr@5
419
  - type: cosine_mrr@10
420
- value: 0.6564841269841272
421
  name: Cosine Mrr@10
422
  - type: cosine_mrr@100
423
- value: 0.6595216619129662
424
  name: Cosine Mrr@100
425
  - type: cosine_map@100
426
- value: 0.6595216619129661
427
  name: Cosine Map@100
428
  - type: dot_accuracy@1
429
- value: 0.48
430
  name: Dot Accuracy@1
431
  - type: dot_accuracy@5
432
- value: 0.88
433
  name: Dot Accuracy@5
434
  - type: dot_accuracy@10
435
- value: 0.95
436
  name: Dot Accuracy@10
437
  - type: dot_precision@1
438
- value: 0.48
439
  name: Dot Precision@1
440
  - type: dot_precision@5
441
- value: 0.17599999999999993
442
  name: Dot Precision@5
443
  - type: dot_precision@10
444
- value: 0.09499999999999999
445
  name: Dot Precision@10
446
  - type: dot_recall@1
447
- value: 0.48
448
  name: Dot Recall@1
449
  - type: dot_recall@5
450
- value: 0.88
451
  name: Dot Recall@5
452
  - type: dot_recall@10
453
- value: 0.95
454
  name: Dot Recall@10
455
  - type: dot_ndcg@5
456
- value: 0.7065704999222873
457
  name: Dot Ndcg@5
458
  - type: dot_ndcg@10
459
- value: 0.7288298734374183
460
  name: Dot Ndcg@10
461
  - type: dot_ndcg@100
462
- value: 0.7407135931762043
463
  name: Dot Ndcg@100
464
  - type: dot_mrr@5
465
- value: 0.6475
466
  name: Dot Mrr@5
467
  - type: dot_mrr@10
468
- value: 0.6564841269841272
469
  name: Dot Mrr@10
470
  - type: dot_mrr@100
471
- value: 0.6595216619129662
472
  name: Dot Mrr@100
473
  - type: dot_map@100
474
- value: 0.6595216619129661
475
  name: Dot Map@100
476
  ---
477
 
@@ -525,9 +496,9 @@ from sentence_transformers import SentenceTransformer
525
  model = SentenceTransformer("smokxy/embedding_finetuned")
526
  # Run inference
527
  sentences = [
528
- 'How can we identify outliers in crop yield?',
529
- "'Identification of Outliers: All these above analyses can be used to check whether there was any reason for yield deviation as presented in the CCE data. Then a yield proxy map may be prepared. The Yield proxy map can be derived from remote sensing vegetation indices (single or combination of indices), crop simulation model output, or an integration of various parameters, which are related to crop yield, such as soil, weather (gridded), satellite based products, etc. Whatever, yield proxies to be used, it is the responsibility of the organization to record documentary evidence (from their or other's published work) that the yield proxy is related to the particular crop's yield. Then the IU level yields need to be overlaid on the yield proxy map. Both yield proxy and CCE yield can be divided into 4-5 categories (e.g. Very good, Good, Medium, Poor, Very poor). Wherever there is large mismatch between yield proxy and the CCE yield (more than 2 levels), the CCE yield for that IU can be considered, as outliers.'",
530
- "'Under CGF, NABARD and NCDC, as the case may be, shall cover: i. Fund based Credit facilities already sanctioned / extended within six months from the date of the application for the Guarantee Cover or intended to be extended singly or jointly by one or more than one Eligible Lending Institution (ELI) to a single eligible FPO borrower by way of term loan and/or working capital/composite credit facilities without any collateral security and/or third party guarantees. ii. The ELI can extend credit without any limit; however, the Guarantee Cover shall be limited to the maximum guarantee cover specified under the Scheme. iii. Non-Banking Financial Companies (NBFCs) and such other Financial Institutions (FIs) with required net worth, track record and rating of AAA may also be accommodated as Eligible Lending Institutions (ELIs), such NBFC should on-ward lend to FPOs with a moderate spread between their cost of capital and lending rate.'",
531
  ]
532
  embeddings = model.encode(sentences)
533
  print(embeddings.shape)
@@ -573,38 +544,38 @@ You can finetune this model on your own dataset.
573
 
574
  | Metric | Value |
575
  |:--------------------|:-----------|
576
- | cosine_accuracy@1 | 0.48 |
577
- | cosine_accuracy@5 | 0.88 |
578
- | cosine_accuracy@10 | 0.95 |
579
- | cosine_precision@1 | 0.48 |
580
- | cosine_precision@5 | 0.176 |
581
- | cosine_precision@10 | 0.095 |
582
- | cosine_recall@1 | 0.48 |
583
- | cosine_recall@5 | 0.88 |
584
- | cosine_recall@10 | 0.95 |
585
- | cosine_ndcg@5 | 0.7066 |
586
- | cosine_ndcg@10 | 0.7288 |
587
- | cosine_ndcg@100 | 0.7407 |
588
- | cosine_mrr@5 | 0.6475 |
589
- | cosine_mrr@10 | 0.6565 |
590
- | cosine_mrr@100 | 0.6595 |
591
- | **cosine_map@100** | **0.6595** |
592
- | dot_accuracy@1 | 0.48 |
593
- | dot_accuracy@5 | 0.88 |
594
- | dot_accuracy@10 | 0.95 |
595
- | dot_precision@1 | 0.48 |
596
- | dot_precision@5 | 0.176 |
597
- | dot_precision@10 | 0.095 |
598
- | dot_recall@1 | 0.48 |
599
- | dot_recall@5 | 0.88 |
600
- | dot_recall@10 | 0.95 |
601
- | dot_ndcg@5 | 0.7066 |
602
- | dot_ndcg@10 | 0.7288 |
603
- | dot_ndcg@100 | 0.7407 |
604
- | dot_mrr@5 | 0.6475 |
605
- | dot_mrr@10 | 0.6565 |
606
- | dot_mrr@100 | 0.6595 |
607
- | dot_map@100 | 0.6595 |
608
 
609
  <!--
610
  ## Bias, Risks and Limitations
@@ -644,6 +615,7 @@ You can finetune this model on your own dataset.
644
  - `per_gpu_eval_batch_size`: None
645
  - `gradient_accumulation_steps`: 4
646
  - `eval_accumulation_steps`: None
 
647
  - `learning_rate`: 1e-05
648
  - `weight_decay`: 0.01
649
  - `adam_beta1`: 0.9
@@ -740,6 +712,8 @@ You can finetune this model on your own dataset.
740
  - `neftune_noise_alpha`: None
741
  - `optim_target_modules`: None
742
  - `batch_eval_metrics`: False
 
 
743
  - `batch_sampler`: batch_sampler
744
  - `multi_dataset_batch_sampler`: proportional
745
 
@@ -748,18 +722,18 @@ You can finetune this model on your own dataset.
748
  ### Training Logs
749
  | Epoch | Step | Training Loss | loss | val_evaluator_cosine_map@100 |
750
  |:---------:|:------:|:-------------:|:----------:|:----------------------------:|
751
- | **0.531** | **15** | **0.4478** | **0.0912** | **0.6595** |
752
- | 0.9912 | 28 | - | 0.0912 | 0.6595 |
753
 
754
  * The bold row denotes the saved checkpoint.
755
 
756
  ### Framework Versions
757
  - Python: 3.10.14
758
  - Sentence Transformers: 3.0.1
759
- - Transformers: 4.41.1
760
- - PyTorch: 2.3.0+cu121
761
- - Accelerate: 0.27.2
762
- - Datasets: 2.19.1
763
  - Tokenizers: 0.19.1
764
 
765
  ## Citation
 
1
  ---
 
 
 
 
 
 
 
 
 
2
  base_model: BAAI/bge-small-en-v1.5
3
  datasets: []
4
+ language: []
5
+ library_name: sentence-transformers
6
  metrics:
7
  - cosine_accuracy@1
8
  - cosine_accuracy@5
 
36
  - dot_mrr@10
37
  - dot_mrr@100
38
  - dot_map@100
39
+ pipeline_tag: sentence-similarity
40
+ tags:
41
+ - sentence-transformers
42
+ - sentence-similarity
43
+ - feature-extraction
44
+ - generated_from_trainer
45
+ - dataset_size:900
46
+ - loss:GISTEmbedLoss
47
  widget:
48
+ - source_sentence: How can I contact the National Co-operative Development Corporation?
49
+ sentences:
50
+ - '''1.1 Chhattisgarh is among the few states in India that have recorded impressive
51
+ growth in agriculture in recent years. Development of farmers own institutions
52
+ catering to their various needs, has kept pace with the agricultural growth. As
53
+ on 30 September 2014, the state had 3,679 farmers clubs (FCs). There were eight
54
+ federations of farmer clubs in the state, five in Mahasamund, two in Bilaspur
55
+ and one in Mungeli district. In Bilaspur and Mungeli districts (the study area),
56
+ 300 FCs were formed, of which 201 were active. Majority of the farmer clubs (129
57
+ clubs) were formed by the Regional Rural Bank (Gramin Bank). Other promoting institutions
58
+ include Chhattisgarh Agricon Samiti (30), CARMDAKSH (12), SBI (12), ARDB (8) and
59
+ IFFDC (5). While all the clubs were active in the initial three years, many slipped
60
+ into dormancy through inaction and non-availability of hand-holding support. These
61
+ clubs did not have any vision or roadmap for the future. 1.2 The Chhattisgarh
62
+ RO and DDM Bilaspur were keen to make the farmer clubs a sustainable entity and
63
+ felt the need to federate the clubs to a higher tier so as to make the entire
64
+ farmer clubs programme sustainable and the organization a viable model. With this
65
+ in view, the farmer clubs were federated into four farmer club federations and
66
+ were registered under ''Chhattisgarh Society Registrikaran Adhiniyam, 1973'' in
67
+ the year 2012.'''
68
+ - '''10.1 Under the scheme, financial support to Farmer Producer Organization (FPO) @
69
+ up to maximum of Rs. 18 lakh / FPO or actual, whichever is lesser is to be provided
70
+ during three years from the year of formation. The financial support is not meant
71
+ for reimbursing the entire administrative and management cost of FPO but it is
72
+ to provide the financial support to the FPOs to the extent provided to make
73
+ them sustainable and economically viable. Hence, the fourth year onwards of formation,
74
+ the FPO has to manage their financial support from their own business activities.
75
+ The indicative financial support broadly covers (i) the support for salary of
76
+ its CEO/Manager (maximum up to Rs.25000/month) and Accountant (maximum up to Rs.
77
+ 10000/month); (ii) one time registration cost(one time up to maximum Rs. 40000
78
+ or actual whichever is lower); (iii) office rent (maximum up to Rs. 48,000/year);
79
+ (iv) utility charges (electricity and telephone charges of office of FPO maximum
80
+ up to Rs. 12000/year); (v) one-time cost for minor equipment (including furniture
81
+ and fixture maximum up to Rs. 20,000); (vi) travel and meeting cost (maximum up
82
+ to Rs.18,000/year); and (vii) misc. (cleaning, stationery etc. maximum up to Rs.
83
+ 12,000/year). Any expenditure of operations, management, working capital requirement
84
+ and infrastructure development etc., over and above this, will be met by the FPOs
85
+ from their financial resources. 10.2 FPO being organization of farmers, it does
86
+ not become feasible for FPO itself to professionally administer its activities
87
+ and day to day business, therefore, FPO requires some professionally equipped
88
+ Manager/CEO to administer its activities and day to day business with a sole objective
89
+ to make FPO economically sustainable and farmers'' benefiting agri-enterprise.
90
+ Not only for business development but the value of professional is immense in
91
+ democratizing the FPOs and strengthening its governing system.'''
92
+ - '''Risk Analysis For further information, please contact: Chief General Manager,
93
+ Managing Director Small Farmers'' Agri- Business Consortium, National Bank for
94
+ Agriculture & Rural Head office, NCUI Auditorium Development, **NABARD**, Building
95
+ C-24, ''G'' Block, 5th floor, 3, Siri Institutional Area Bandra-Kurla Complex,
96
+ August Kranti Marg, Hauz Bandra East, Khas, Mumbai - 400051 New Delhi-110016 Tel:
97
+ 022- Tel: 011-41060075, 26966017 26539530,26539500 e-mail: [email protected] Website:
98
+ www.sfacindia.com [email protected], [email protected] Website: www.nabard.org
99
+ Agriculture Marketing Adviser Directorate of Marketing & Inspection DAC&FW, New
100
+ CGO Complex, NH-IV, Faridabad - 121001 Tel: 0129- 2412518 e-mail: [email protected]
101
+ Website: www.dmi.gov.in Managing Director National Co-operative Development Corporation,
102
+ **NCDC**, 4-Siri Institutional Area, Hauz Khas, New Delhi - 110016 Tel: 011- 26960796,
103
+ 26567140 e-mail: e-mail: [email protected] Website: www.ncdc.in Agricultural Marketing
104
+ Division Department of Agriculture, Co-operation & Farmers'' Welfare Ministry
105
+ of Agriculture & Farmers'' Welfare Krishi Bhawan, New Delhi-110001 Tel: 011-23386235,
106
+ 23388579 Website: www.agricoop.nic.in'''
107
+ - source_sentence: Are any qualifications or certifications required for the VLEs
108
+ of CSCs in facilitating the enrollment of non-loanee farmers?
109
+ sentences:
110
+ - '''13.3.1 Insurance company shall take all necessary steps to take appropriate
111
+ reinsurance cover for their portfolio in order to safeguard insured''s interest.
112
+ In case premium to claims ratio exceeds 1:3.5 or percentage of claims to Sum Insured
113
+ exceeds 35%, whichever is higher, at the National Level in a crop season, then
114
+ Govt. will provide protection to Insurance Companies. The losses exceeding the
115
+ above mentioned level in the crop season would be met from equal contribution
116
+ of the Central Govt. and the concerned State/UT Govts. In case losses are below
117
+ the above mentioned condition, insurers shall be responsible to settle the admissible
118
+ claims.'''
119
+ - '''| Picking 1 | Picking 2 |
120
+ Picking 4 |\n|-------------------------------------------------------|----------------|--------------|\n|
121
+ Total Yield Kg) | | |\n|
122
+ Picking 3 | | |\n|
123
+ Yield (Kg) | | |\n|
124
+ Crop | Experiment no. | |\n|
125
+ Yield | | |\n|
126
+ (Kg) | | |\n|
127
+ Yield | | |\n|
128
+ (Kg) | | |\n|
129
+ Yield | | |\n|
130
+ (Kg) | | |\n|
131
+ P1 | P2 | P3 |\n|
132
+ Well Conducted CCEs in the Taluka with 4 pickings | | |\n|
133
+ Cotton | E1 | 1 |\n|
134
+ Cotton | E2 | 1 |\n|
135
+ Cotton | E3 | 0.75 |\n|
136
+ Cotton | E4 | 0.8 |\n|
137
+ Cotton | E5 | 0.95 |\n| |
138
+ Average | 0.9 |\n| 6.373 |
139
+ 2.128 | 1.282 |\n| (1 | | |\n|
140
+ st | | |\n|
141
+ + 2 | | |\n|
142
+ nd | | |\n|
143
+ +3 | | |\n|
144
+ rd | | |\n| | | |\n|
145
+ Factor (Total yield/ | | |\n|
146
+ Picking Yield) | | |\n| | | |\n|
147
+ (1 | | |\n|
148
+ st | | |\n|
149
+ ) | (1 | |\n|
150
+ st | | |\n|
151
+ + | | |\n|
152
+ 2 | | |\n|
153
+ nd | | |\n|
154
+ ) | ) | |\n|
155
+ CCEs with Less Pickings in any IU within that Taluka | | |\n|
156
+ Cotton | E6 (only 1 | |\n|
157
+ st | | |\n|
158
+ Picking) | 1 | |\n|
159
+ Cotton | E7 (1 | |\n|
160
+ st | | |\n|
161
+ and 2 | | |\n|
162
+ nd | | |\n|
163
+ Picking) | 1.2 | 1.75 |\n|
164
+ Cotton | E8 (1 | |\n|
165
+ st | | |\n|
166
+ , 2 | | |\n|
167
+ nd | | |\n|
168
+ & 3 | | |\n|
169
+ rd | | |\n|
170
+ Picking) | 1.1 | 1.85 |'''
171
+ - '''8.1 CSCs under Ministry of Electronics and Information Technology (MeITY)
172
+ have been engaged to enrol non-loanee farmers. The Insurance Companies are
173
+ required to enter into a separate agreement with CSC and pay service charges
174
+ as fixed by DAC&FW, GOI per farmer per village per season. No other agreement
175
+ or payment is required to be made for this purpose. Nodal agency for engagement
176
+ with Ministry of Agriculture and Farmers Welfare and Insurance Companies will
177
+ be CSC-SPV, a company established under MeITY for carrying out e-governance
178
+ initiatives of GoI. 8.2 No charges/fee shall be borne or paid by the farmers
179
+ being enrolled through CSCs i.e. CSC-SPV and CSC-VLE 8.3 As per IRDA circular,
180
+ no separate qualification/certification will be required for the VLEs of CSCs
181
+ to facilitate enrolment of non-loanee farmers. 8.4 All empanelled Insurance
182
+ Companies will compulsorily be required to enter into an agreement with CSC
183
+ for enrolment of non-loanee farmers and for provision of other defined services
184
+ to farmers. 8.5 Other designated intermediaries may be linked with the Portal
185
+ in due course. 8.6 Empanelled Insurance Companies have to necessarily register
186
+ on the portal and submit list and details of agents/intermediaries engaged
187
+ for enrolment of non-loanee farmers in the beginning of each season within
188
+ 10 days of award of work in the State. Further all agents/intermediaries have
189
+ to work strictly as per the provisions of the Scheme and IRDA regulations'''
190
+ - source_sentence: How many federations of farmer clubs are there in Chhattisgarh?
191
+ sentences:
192
+ - '''i. Shareholder List and Share Capital contribution by each Member verified
193
+ and certified by a Chartered Accountant (CA) prior to submission (Format attached,
194
+ Annexure I- Enclosure-I). ii. Resolution of FPO Board/Governing Council to seek
195
+ Equity Grant for Members (Format attached, Annexure I- Enclosure-II). iii. Consent
196
+ of Shareholders, stating name of shareholder, gender, number of shares held, face
197
+ value of shares, land holding, and signature, signifying consent for Implementing
198
+ Agency to directly transfer the Equity Grant sanctioned to the FPC on their behalf,
199
+ to FPC Bank account, against the consideration of additional shares of equivalent
200
+ value to be issued to them by FPC and on exit- transfer of the shares as per rules
201
+ (Format attached, Annexure I-Enclosure-III). iv. Audited Financials of FPO for
202
+ a minimum 1 year/for all years of existence of the FPO if formed less than three
203
+ years prior to application/ for the last 3 years for FPO in existence for 3 years
204
+ or more, verified and certified by a Chartered Accountant (CA) prior to submission.
205
+ v. Photocopy of FPO Bank Account Statement for last six months authenticated by
206
+ Branch Manager. vi. Business plan and budget for next 18 months. vii. Names, photographs,
207
+ and identity proof (one from among ration card, Aadhaar card, election identification
208
+ card, and passport of Representatives/ Directors authorized by the Board for executing
209
+ and signing all documents under the Scheme. viii. Each page of Application Form and
210
+ accompanying documents should be signed by a minimum of two Board Member Authorised
211
+ Representatives of FPO;'''
212
+ - ''' 2.7 Secured credential/login, preferably linked with Aadhaar Number and
213
+ mobile OTP based, for all Stakeholders viz, Central Government, State Governments,
214
+ Banks, empanelled Insurance Companies and their designated field functionaries
215
+ will be provided on the Portal to enable them to enter/upload/download the
216
+ requisite information. 2.8 Insurance Companies shall not distribute/collect/allow
217
+ any other proforma/utility/web Portal etc for collecting details of insured
218
+ farmers separately. However they may provide all requisite support to facilitate
219
+ Bank Branches/PACS for uploading the farmer''s details on the Portal well within
220
+ the prescribed cut-off dates. 2.9 Only farmers whose data is uploaded on
221
+ the National Crop Insurance Portal shall be eligible for Insurance coverage
222
+ and the premium subsidy from State and Central Govt. will be released accordingly. 2.10 All
223
+ data pertaining to crop-wise, area-wise historical yield data, weather data, sown
224
+ area, coverage and claims data, calamity years and actual yield shall be made
225
+ available on the National Crop Insurance Portal for the purpose of premium
226
+ rating, claim calculation etc. 2.11 Banks/Financial Institutions/other intermediaries
227
+ need to compulsorily transfer the individual farmer''s data electronically
228
+ to the National Crop Insurance Portal. Accordingly Banks/FIs may endeavour to undertake
229
+ CBS integration in a time bound manner for real time transfer of information/data. 2.12 It
230
+ is also proposed to develop an integrated platform/portal for both PMFBY and Interest
231
+ Subvention Scheme. The data/information of both the Schemes shall be auto synchronized
232
+ to enable real time sharing of information and better program monitoring. 2.13 Insurance
233
+ Companies shall compulsorily use technology/mobile applications for monitoring
234
+ of crop health/Crop Cutting Experiments (CCEs) in coordination with concerned
235
+ States. States shall also facilitate Insurance Companies with Satellite Imagery/Usage
236
+ of Drones by way of prior approval of agency from which such data can be sourced.
237
+ This is required for better monitoring and ground- truthing.'''
238
+ - '''1.1 Chhattisgarh is among the few states in India that have recorded impressive
239
+ growth in agriculture in recent years. Development of farmers own institutions
240
+ catering to their various needs, has kept pace with the agricultural growth. As
241
+ on 30 September 2014, the state had 3,679 farmers clubs (FCs). There were eight
242
+ federations of farmer clubs in the state, five in Mahasamund, two in Bilaspur
243
+ and one in Mungeli district. In Bilaspur and Mungeli districts (the study area),
244
+ 300 FCs were formed, of which 201 were active. Majority of the farmer clubs (129
245
+ clubs) were formed by the Regional Rural Bank (Gramin Bank). Other promoting institutions
246
+ include Chhattisgarh Agricon Samiti (30), CARMDAKSH (12), SBI (12), ARDB (8) and
247
+ IFFDC (5). While all the clubs were active in the initial three years, many slipped
248
+ into dormancy through inaction and non-availability of hand-holding support. These
249
+ clubs did not have any vision or roadmap for the future. 1.2 The Chhattisgarh
250
+ RO and DDM Bilaspur were keen to make the farmer clubs a sustainable entity and
251
+ felt the need to federate the clubs to a higher tier so as to make the entire
252
+ farmer clubs programme sustainable and the organization a viable model. With this
253
+ in view, the farmer clubs were federated into four farmer club federations and
254
+ were registered under ''Chhattisgarh Society Registrikaran Adhiniyam, 1973'' in
255
+ the year 2012.'''
256
+ - source_sentence: How is the Sum Insured calculated for an individual farmer?
257
+ sentences:
258
+ - '''(i) The software for vertical and horizontal e-Market place will provide information about
259
+ the details of FPOs produce with its quality ready for sale. (ii) It will provide
260
+ details of availability of quality inputs with price and also the details of
261
+ custom hiring facility with rate. (iii) It will also provide detailed information
262
+ about formation of FPO, its registration, location, major business activity,
263
+ profitability status and all other related information FPO-wise. (iv) It will
264
+ have window to highlight the problems being encountered in any stage of formation
265
+ and promotion of FPOs and quick response by respective agency to resolve the problem. (v)
266
+ All the software developed by Implementing Agencies with respect to FPOs are to
267
+ be inter-operable with this Integrated portal.'''
268
+ - '''12.1 Sum Insured per hectare for both loanee and non-loanee farmers will
269
+ be same and equal to the Scale of Finance as decided by the DLTC/SLTC, and would
270
+ be pre-declared by SLCCCI and notified. No other calculation of Scale of Finance
271
+ will be applicable. Sum Insured for individual farmer is equal to the SOF per
272
+ hectare multiplied by area of the notified crop proposed by the farmer for insurance.
273
+ Area under cultivation shall always be expressed in hectare''. 12.2 In cases
274
+ where crops are separately notified under irrigated, un-irrigated category by
275
+ State Govts. Sum insured for irrigated and un-irrigated areas should be separately
276
+ indicated.'''
277
+ - '''i. The credit guarantee cover per FPO will be limited to the project loan of
278
+ Rs. 2 crore. In case of project loan up to Rs. 1 crore, credit guarantee cover
279
+ will be 85% of bankable project loan with ceiling of Rs. 85 lakh; while in case
280
+ of project loan above Rs.1 crore and up to Rs. 2 crore, credit guarantee cover
281
+ will be 75% of bankable project loan with a maximum ceiling of Rs. 150 lakh. However,
282
+ for project loan over Rs. 2 crore of bankable projet loan, credit guarantee cover
283
+ will be limited maximum upto Rs.2.0 crore only. ii. ELI shall be eligible to
284
+ seek Credit Guarantee Cover for a credit facility sanctioned in respect of a
285
+ single FPO borrower for a maximum of 2 times over a period of 5 years. iii.
286
+ In case of default, claims shall be settled up to 85% or 75 % of the amount in default
287
+ subject to maximum cover as specified above. iv. Other charges such as penal
288
+ interest, commitment charge, service charge, or any other levies/ expenses, or
289
+ any costs whatsoever debited to the account of FPO by the ELI other than the
290
+ contracted interest shall not qualify for Credit Guarantee Cover. v. The Cover
291
+ shall only be granted after the ELI enters into an agreement with NABARD or NCDC,
292
+ as the case may be, and shall be granted or delivered in accordance with the Terms
293
+ and Conditions decided upon by NABARD or NCDC, as the case may be, from time to
294
+ time.'''
295
+ - source_sentence: What is the requirement of Aadhaar for crop loan or Kisan Credit
296
+ Card (KCC) under the Interest Subvention Scheme?
297
  sentences:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
298
  - ''' This consent of the beneficiary should be \''to agree that the department
299
  responsible for implementation of the Pradhan Mantri Kisan Samman Nidhi Yojana
300
  in Union Government or the State Government / Union Territory Administration can
 
308
  the beneficiaries. 6.4 The lists of eligible beneficiaries would be published
309
  at the village level. Farmers'' families who are eligible but have been excluded
310
  should be provided an opportunity to represent their case.'''
311
+ - ''' Date……………………………… ……………………………… Signature of Branch Manager with branch seal Name……………………………………
312
+ … Designation …………………………………… ……………………………… ……………………………… Signature of Authorized
313
+ Person in zonal office Name………………………………… Designation …………………………………… 5. Promoter''s
314
+ request letter List of Enclosures 1. Recommendation 9. List of shareholders addressed
315
+ to the Bank Manager on original letter head of FPO confirmed by promoter and
316
+ bank with amount of CGC sought on Bank''s Original letterhead with date and
317
+ dispatch number duly signed by the Branch Manager on each page. 2. Sanction letter
318
+ of 6. Implementation Schedule 10. Affidavit of promoters that confirmed by
319
+ the bank. they have not availed CGC from any other institution for sanctioned
320
+ Credit Facility. sanctioning authority addressed to recommending branch. 3.
321
+ Bank''s approved 7. Up-to-date statement of account of 11. Field inspection
322
+ report of Term loan and Cash Credit (if Sanctioned). Bank official as on recent
323
+ date. Appraisal/Process note bearing signature of sanctioning authority. 4.
324
+ Potential Impact on 8. a).Equity Certificate, C.A/CS * Pin Code at Column No.
325
+ 1. a), certificate/RCS certificate 2. b), 2. c), 4. a) and 9. a) is Mandatory b).
326
+ FORM-2, FORM-5 and FORM-23 filed with ROC for Company/RCS. small farmer producers 1.
327
+ Social Impact, 2. Environmental Impact 3.'''
328
+ - '''6.3.1 Aadhaar has been made mandatory for availing Crop insurance from Kharif
329
+ 2017 season onwards. Therefore, all banks are advised to mandatorily obtain
330
+ Aadhaar number of their farmers and the same applies for non-loanee farmers enrolled through banks/Insurance companies/insurance intermediaries. 6.3.2 Farmers
331
+ not having Aadhaar ID may also enrol under PMFBY subject to their enrolment for Aadhaar
332
+ and submission of proof of such enrolment as per notification No. 334.dated 8th
333
+ February, 2017 issued by GOI under Section 7 of Aadhaar Act 2016(Targeted Delivery
334
+ of Financial and other Subsidies, Benefits and Services). Copy of the notification
335
+ may be perused on www.pmfby.gov.in. This may be subject to further directions
336
+ issued by Govt. from time to time. 6.3.3 All banks have to compulsorily take
337
+ Aadhaar/Aadhaar enrolment number as per notification under Aadhaar Act before
338
+ sanction of crop loan/KCC under Interest Subvention Scheme. Hence the coverage of
339
+ loanee farmers without Aadhaar does not arise and such accounts need to be reviewed
340
+ by the concerned bank branch regularly.'''
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
341
  model-index:
342
  - name: SentenceTransformer based on BAAI/bge-small-en-v1.5
343
  results:
 
349
  type: val_evaluator
350
  metrics:
351
  - type: cosine_accuracy@1
352
+ value: 0.51
353
  name: Cosine Accuracy@1
354
  - type: cosine_accuracy@5
355
+ value: 0.89
356
  name: Cosine Accuracy@5
357
  - type: cosine_accuracy@10
358
+ value: 0.93
359
  name: Cosine Accuracy@10
360
  - type: cosine_precision@1
361
+ value: 0.51
362
  name: Cosine Precision@1
363
  - type: cosine_precision@5
364
+ value: 0.17799999999999996
365
  name: Cosine Precision@5
366
  - type: cosine_precision@10
367
+ value: 0.09299999999999997
368
  name: Cosine Precision@10
369
  - type: cosine_recall@1
370
+ value: 0.51
371
  name: Cosine Recall@1
372
  - type: cosine_recall@5
373
+ value: 0.89
374
  name: Cosine Recall@5
375
  - type: cosine_recall@10
376
+ value: 0.93
377
  name: Cosine Recall@10
378
  - type: cosine_ndcg@5
379
+ value: 0.7199414259514458
380
  name: Cosine Ndcg@5
381
  - type: cosine_ndcg@10
382
+ value: 0.7332305184181033
383
  name: Cosine Ndcg@10
384
  - type: cosine_ndcg@100
385
+ value: 0.7506961623500871
386
  name: Cosine Ndcg@100
387
  - type: cosine_mrr@5
388
+ value: 0.6626666666666666
389
  name: Cosine Mrr@5
390
  - type: cosine_mrr@10
391
+ value: 0.6683611111111114
392
  name: Cosine Mrr@10
393
  - type: cosine_mrr@100
394
+ value: 0.6730785505344332
395
  name: Cosine Mrr@100
396
  - type: cosine_map@100
397
+ value: 0.6730785505344328
398
  name: Cosine Map@100
399
  - type: dot_accuracy@1
400
+ value: 0.51
401
  name: Dot Accuracy@1
402
  - type: dot_accuracy@5
403
+ value: 0.89
404
  name: Dot Accuracy@5
405
  - type: dot_accuracy@10
406
+ value: 0.93
407
  name: Dot Accuracy@10
408
  - type: dot_precision@1
409
+ value: 0.51
410
  name: Dot Precision@1
411
  - type: dot_precision@5
412
+ value: 0.17799999999999996
413
  name: Dot Precision@5
414
  - type: dot_precision@10
415
+ value: 0.09299999999999997
416
  name: Dot Precision@10
417
  - type: dot_recall@1
418
+ value: 0.51
419
  name: Dot Recall@1
420
  - type: dot_recall@5
421
+ value: 0.89
422
  name: Dot Recall@5
423
  - type: dot_recall@10
424
+ value: 0.93
425
  name: Dot Recall@10
426
  - type: dot_ndcg@5
427
+ value: 0.7199414259514458
428
  name: Dot Ndcg@5
429
  - type: dot_ndcg@10
430
+ value: 0.7332305184181033
431
  name: Dot Ndcg@10
432
  - type: dot_ndcg@100
433
+ value: 0.7506961623500871
434
  name: Dot Ndcg@100
435
  - type: dot_mrr@5
436
+ value: 0.6626666666666666
437
  name: Dot Mrr@5
438
  - type: dot_mrr@10
439
+ value: 0.6683611111111114
440
  name: Dot Mrr@10
441
  - type: dot_mrr@100
442
+ value: 0.6730785505344332
443
  name: Dot Mrr@100
444
  - type: dot_map@100
445
+ value: 0.6730785505344328
446
  name: Dot Map@100
447
  ---
448
 
 
496
  model = SentenceTransformer("smokxy/embedding_finetuned")
497
  # Run inference
498
  sentences = [
499
+ 'What is the requirement of Aadhaar for crop loan or Kisan Credit Card (KCC) under the Interest Subvention Scheme?',
500
+ "'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.'",
501
+ "' 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.'",
502
  ]
503
  embeddings = model.encode(sentences)
504
  print(embeddings.shape)
 
544
 
545
  | Metric | Value |
546
  |:--------------------|:-----------|
547
+ | cosine_accuracy@1 | 0.51 |
548
+ | cosine_accuracy@5 | 0.89 |
549
+ | cosine_accuracy@10 | 0.93 |
550
+ | cosine_precision@1 | 0.51 |
551
+ | cosine_precision@5 | 0.178 |
552
+ | cosine_precision@10 | 0.093 |
553
+ | cosine_recall@1 | 0.51 |
554
+ | cosine_recall@5 | 0.89 |
555
+ | cosine_recall@10 | 0.93 |
556
+ | cosine_ndcg@5 | 0.7199 |
557
+ | cosine_ndcg@10 | 0.7332 |
558
+ | cosine_ndcg@100 | 0.7507 |
559
+ | cosine_mrr@5 | 0.6627 |
560
+ | cosine_mrr@10 | 0.6684 |
561
+ | cosine_mrr@100 | 0.6731 |
562
+ | **cosine_map@100** | **0.6731** |
563
+ | dot_accuracy@1 | 0.51 |
564
+ | dot_accuracy@5 | 0.89 |
565
+ | dot_accuracy@10 | 0.93 |
566
+ | dot_precision@1 | 0.51 |
567
+ | dot_precision@5 | 0.178 |
568
+ | dot_precision@10 | 0.093 |
569
+ | dot_recall@1 | 0.51 |
570
+ | dot_recall@5 | 0.89 |
571
+ | dot_recall@10 | 0.93 |
572
+ | dot_ndcg@5 | 0.7199 |
573
+ | dot_ndcg@10 | 0.7332 |
574
+ | dot_ndcg@100 | 0.7507 |
575
+ | dot_mrr@5 | 0.6627 |
576
+ | dot_mrr@10 | 0.6684 |
577
+ | dot_mrr@100 | 0.6731 |
578
+ | dot_map@100 | 0.6731 |
579
 
580
  <!--
581
  ## Bias, Risks and Limitations
 
615
  - `per_gpu_eval_batch_size`: None
616
  - `gradient_accumulation_steps`: 4
617
  - `eval_accumulation_steps`: None
618
+ - `torch_empty_cache_steps`: None
619
  - `learning_rate`: 1e-05
620
  - `weight_decay`: 0.01
621
  - `adam_beta1`: 0.9
 
712
  - `neftune_noise_alpha`: None
713
  - `optim_target_modules`: None
714
  - `batch_eval_metrics`: False
715
+ - `eval_on_start`: False
716
+ - `eval_use_gather_object`: False
717
  - `batch_sampler`: batch_sampler
718
  - `multi_dataset_batch_sampler`: proportional
719
 
 
722
  ### Training Logs
723
  | Epoch | Step | Training Loss | loss | val_evaluator_cosine_map@100 |
724
  |:---------:|:------:|:-------------:|:----------:|:----------------------------:|
725
+ | **0.531** | **15** | **0.5565** | **0.0661** | **0.6731** |
726
+ | 0.9912 | 28 | - | 0.0661 | 0.6731 |
727
 
728
  * The bold row denotes the saved checkpoint.
729
 
730
  ### Framework Versions
731
  - Python: 3.10.14
732
  - Sentence Transformers: 3.0.1
733
+ - Transformers: 4.43.4
734
+ - PyTorch: 2.4.0+cu121
735
+ - Accelerate: 0.33.0
736
+ - Datasets: 2.21.0
737
  - Tokenizers: 0.19.1
738
 
739
  ## Citation
config.json CHANGED
@@ -24,7 +24,7 @@
24
  "pad_token_id": 0,
25
  "position_embedding_type": "absolute",
26
  "torch_dtype": "float32",
27
- "transformers_version": "4.41.1",
28
  "type_vocab_size": 2,
29
  "use_cache": true,
30
  "vocab_size": 30522
 
24
  "pad_token_id": 0,
25
  "position_embedding_type": "absolute",
26
  "torch_dtype": "float32",
27
+ "transformers_version": "4.43.4",
28
  "type_vocab_size": 2,
29
  "use_cache": true,
30
  "vocab_size": 30522
config_sentence_transformers.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "__version__": {
3
  "sentence_transformers": "3.0.1",
4
- "transformers": "4.41.1",
5
- "pytorch": "2.3.0+cu121"
6
  },
7
  "prompts": {},
8
  "default_prompt_name": null,
 
1
  {
2
  "__version__": {
3
  "sentence_transformers": "3.0.1",
4
+ "transformers": "4.43.4",
5
+ "pytorch": "2.4.0+cu121"
6
  },
7
  "prompts": {},
8
  "default_prompt_name": null,
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6c9e5db1d3ec968d6f0160b28eb1185750c49200f0f93798f99afd2677904685
3
  size 133462128
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8c570bf91953aad9727a06fc697c51a88029e9a162713dd7787db1a7d066c9c0
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  size 133462128