pytorch_model.bin upload/update
Browse files- README.md +365 -391
- config.json +1 -1
- config_sentence_transformers.json +2 -2
- model.safetensors +1 -1
README.md
CHANGED
@@ -1,15 +1,8 @@
|
|
1 |
---
|
2 |
-
language: []
|
3 |
-
library_name: sentence-transformers
|
4 |
-
tags:
|
5 |
-
- sentence-transformers
|
6 |
-
- sentence-similarity
|
7 |
-
- feature-extraction
|
8 |
-
- generated_from_trainer
|
9 |
-
- dataset_size:900
|
10 |
-
- loss:GISTEmbedLoss
|
11 |
base_model: BAAI/bge-small-en-v1.5
|
12 |
datasets: []
|
|
|
|
|
13 |
metrics:
|
14 |
- cosine_accuracy@1
|
15 |
- cosine_accuracy@5
|
@@ -43,58 +36,265 @@ metrics:
|
|
43 |
- dot_mrr@10
|
44 |
- dot_mrr@100
|
45 |
- dot_map@100
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
46 |
widget:
|
47 |
-
- source_sentence:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
48 |
sentences:
|
49 |
-
- '''for loanee and within 30 days for non loanee i.e. 15th Aug for Kharif and
|
50 |
-
15th Jan for Rabi for loanee and 31st Aug for Kharif and 31st Jan for Rabi
|
51 |
-
for Non Loanee 13 Within 7 days from the date of intimation by ICs CSCs/Banks/
|
52 |
-
Intermediary Cut-off date for CSCs/Banks/Intermediary to correct/update the paid
|
53 |
-
application intimated by ICs on Crop Insurance Portal 14 Cut-off date for Insurer
|
54 |
-
to accept the corrected/updated applications Within 7 days from the date of
|
55 |
-
submission of correction/updation by the Bank/CSC Insurance Companies 15 Within
|
56 |
-
7 days from acceptance of proposal by concerned Insurance Company on Portal Cut-off
|
57 |
-
date for Banks/ICs to hand over insurance acknowledgement receipt along with folio
|
58 |
-
to the insured farmer Banks/ICs for enrolment through their intermediaries 16 Cut
|
59 |
-
off date for processing of applications by ICs and auto approval of application
|
60 |
-
of insured farmers on crop insurance Portal 60 days from the cut off date for
|
61 |
-
enrolment/debit of premium from farmers i.e. 15th September for Kharif and 15th
|
62 |
-
February for Rabi seasons 17 Before cut off date of enrolment of farmers Insurance
|
63 |
-
Companies/GOI /State Cut off date for raising bills/requisitions with supporting
|
64 |
-
documents for releasing of advance premium subsidy based on 50% of 80% of respective
|
65 |
-
share of Centre/State in corresponding previous season 18 Release of advance
|
66 |
-
upfront premium subsidy (First Instalment)i.e. 50% of 80% of respective share
|
67 |
-
of Centre/State in corresponding previous season Within 15days of cut off date
|
68 |
-
of enrolment of farmers i.e. 31st July for Kharif Upto 15th August* 19 *state
|
69 |
-
may fix earlier dates for early Kharif crops Training and registration of field
|
70 |
-
level workers assigned for conduct of CCEs and reporting of the same on crop
|
71 |
-
insurance Portal through smart phones/CCE Agri App Upto31st August* *state 20 Registration
|
72 |
-
of mobile number of representative of ICs for co-witnessing of CCEs may fix earlier
|
73 |
-
dates for early Kharif crops At least 7 days before tentative date for conducting
|
74 |
-
CCEs 21 a) Uploading of tentative schedule/date for conducting CCEs (crop-wise/IU
|
75 |
-
wise) followed by SMS on one day notice through CCEs app.'''
|
76 |
-
- '''8 Banks/PACS/CSC/ insurance agent/online enrolment by farmers etc. Upto
|
77 |
-
last date of enrolment of farmers as notified by States for notified crop(s)
|
78 |
-
or up to 15th July* for Kharif season Upto last date of enrolment of farmers as
|
79 |
-
notified by States for notified crop(s) or up to 15th December* for Rabi season Cut-off
|
80 |
-
date for receipt of Applications of farmers/debit of premium from farmers account
|
81 |
-
(loanee and non- loanee) by all stakeholders including banks/PACS/CSC/ insurance
|
82 |
-
agent/online enrolment by farmers etc. Note: *This is indicative only and district
|
83 |
-
wise crop calendar will be the final basis to arrive at cut off date 9 Declaration
|
84 |
-
of Prevented sowing State Govt./ IC Strictly within 15 days from cut off date
|
85 |
-
for enrolment of farmers i.e 31st July for Kharif and 31st Dec for Rabi 10 Banks/Portal Within
|
86 |
-
15 days of cut-off date for enrolment of farmers/debit of premium for both loanee and non-
|
87 |
-
loanee farmers i.e. 31st July for Kharif and 31st Dec for Rabi Cut-off date
|
88 |
-
for electronic remittance of premium along with consolidated Declarations to
|
89 |
-
respective Insurance Company and uploading of details of individual covered farmers
|
90 |
-
on crop insurance Portal by Bank branches (CBs/ RRBs/DCCBs/PACs), followed by SMS
|
91 |
-
to all insured farmers from Portal 11 Within 48 Hours of receipt of application
|
92 |
-
& premium. Insurance companies and their agents Cut-off date for electronic
|
93 |
-
remittance of farmer premium to Insurance Companies for farmers covered on Voluntary
|
94 |
-
basis by designated insurance Agent(s) and uploading of details of individual
|
95 |
-
covered farmers on crop insurance Portal. Insurance Companies 12 Cut-off date
|
96 |
-
for Insurer to accept or reject the farmer''s data on Portal Within 15 days from
|
97 |
-
the cut-off date for uploading of data/information by Banks/PACS/CSC/Agent respectively.'''
|
98 |
- ''' This consent of the beneficiary should be \''to agree that the department
|
99 |
responsible for implementation of the Pradhan Mantri Kisan Samman Nidhi Yojana
|
100 |
in Union Government or the State Government / Union Territory Administration can
|
@@ -108,265 +308,36 @@ widget:
|
|
108 |
the beneficiaries. 6.4 The lists of eligible beneficiaries would be published
|
109 |
at the village level. Farmers'' families who are eligible but have been excluded
|
110 |
should be provided an opportunity to represent their case.'''
|
111 |
-
-
|
112 |
-
|
113 |
-
|
114 |
-
|
115 |
-
|
116 |
-
|
117 |
-
|
118 |
-
|
119 |
-
|
120 |
-
|
121 |
-
|
122 |
-
|
123 |
-
|
124 |
-
|
125 |
-
|
126 |
-
|
127 |
-
|
128 |
-
|
129 |
-
|
130 |
-
|
131 |
-
|
132 |
-
|
133 |
-
|
134 |
-
|
135 |
-
|
136 |
-
|
137 |
-
|
138 |
-
|
139 |
-
|
140 |
-
|
141 |
-
Table 3 |
|
142 |
-
Calculation of crop-wise Sum Insured |\n|
|
143 |
-
Table 4 |
|
144 |
-
Number of CCEs to be conducted at IU level |\n|
|
145 |
-
Table 5 |
|
146 |
-
Yield Calculation for multi-picking crop |\n|
|
147 |
-
Table 6 | |\n|
|
148 |
-
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|
|
154 |
-
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|
|
162 |
-
Detailed Procedure and Timelines for payment of | |\n|
|
163 |
-
Post Harvest Loss | |\n| | |\n|
|
164 |
-
21.4.8.1 | |\n|
|
165 |
-
Table 11 | |\n|
|
166 |
-
Detailed Procedure and Timelines for payment of | |\n|
|
167 |
-
localized claims | |\n| | |\n|
|
168 |
-
21.5.9.1 | |\n|
|
169 |
-
Table 12 |
|
170 |
-
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
|
203 |
-
executive body of the FPO who should be either graduate in agriculture / agriculture
|
204 |
-
marketing / agri-business management or BBA or equivalent. Locally available professionals
|
205 |
-
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
|
207 |
-
have educational qualification of 10+2 with Mathematics as a compulsory subject
|
208 |
-
or alternatively with Commerce or Accountancy background. If any members of the
|
209 |
-
FPO meet the above criteria, they may be considered preferably in the selection
|
210 |
-
process. 10.4 Under the scheme, financial support towards salary of CEO/Manager
|
211 |
-
up to @ Rs. 25,000/- per month and of Accountant up to @ Rs.10,000/- per
|
212 |
-
month with annual increment up to 5% is to be provided from the earmarked financial
|
213 |
-
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
|
224 |
-
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.
|
382 |
name: Cosine Accuracy@1
|
383 |
- type: cosine_accuracy@5
|
384 |
-
value: 0.
|
385 |
name: Cosine Accuracy@5
|
386 |
- type: cosine_accuracy@10
|
387 |
-
value: 0.
|
388 |
name: Cosine Accuracy@10
|
389 |
- type: cosine_precision@1
|
390 |
-
value: 0.
|
391 |
name: Cosine Precision@1
|
392 |
- type: cosine_precision@5
|
393 |
-
value: 0.
|
394 |
name: Cosine Precision@5
|
395 |
- type: cosine_precision@10
|
396 |
-
value: 0.
|
397 |
name: Cosine Precision@10
|
398 |
- type: cosine_recall@1
|
399 |
-
value: 0.
|
400 |
name: Cosine Recall@1
|
401 |
- type: cosine_recall@5
|
402 |
-
value: 0.
|
403 |
name: Cosine Recall@5
|
404 |
- type: cosine_recall@10
|
405 |
-
value: 0.
|
406 |
name: Cosine Recall@10
|
407 |
- type: cosine_ndcg@5
|
408 |
-
value: 0.
|
409 |
name: Cosine Ndcg@5
|
410 |
- type: cosine_ndcg@10
|
411 |
-
value: 0.
|
412 |
name: Cosine Ndcg@10
|
413 |
- type: cosine_ndcg@100
|
414 |
-
value: 0.
|
415 |
name: Cosine Ndcg@100
|
416 |
- type: cosine_mrr@5
|
417 |
-
value: 0.
|
418 |
name: Cosine Mrr@5
|
419 |
- type: cosine_mrr@10
|
420 |
-
value: 0.
|
421 |
name: Cosine Mrr@10
|
422 |
- type: cosine_mrr@100
|
423 |
-
value: 0.
|
424 |
name: Cosine Mrr@100
|
425 |
- type: cosine_map@100
|
426 |
-
value: 0.
|
427 |
name: Cosine Map@100
|
428 |
- type: dot_accuracy@1
|
429 |
-
value: 0.
|
430 |
name: Dot Accuracy@1
|
431 |
- type: dot_accuracy@5
|
432 |
-
value: 0.
|
433 |
name: Dot Accuracy@5
|
434 |
- type: dot_accuracy@10
|
435 |
-
value: 0.
|
436 |
name: Dot Accuracy@10
|
437 |
- type: dot_precision@1
|
438 |
-
value: 0.
|
439 |
name: Dot Precision@1
|
440 |
- type: dot_precision@5
|
441 |
-
value: 0.
|
442 |
name: Dot Precision@5
|
443 |
- type: dot_precision@10
|
444 |
-
value: 0.
|
445 |
name: Dot Precision@10
|
446 |
- type: dot_recall@1
|
447 |
-
value: 0.
|
448 |
name: Dot Recall@1
|
449 |
- type: dot_recall@5
|
450 |
-
value: 0.
|
451 |
name: Dot Recall@5
|
452 |
- type: dot_recall@10
|
453 |
-
value: 0.
|
454 |
name: Dot Recall@10
|
455 |
- type: dot_ndcg@5
|
456 |
-
value: 0.
|
457 |
name: Dot Ndcg@5
|
458 |
- type: dot_ndcg@10
|
459 |
-
value: 0.
|
460 |
name: Dot Ndcg@10
|
461 |
- type: dot_ndcg@100
|
462 |
-
value: 0.
|
463 |
name: Dot Ndcg@100
|
464 |
- type: dot_mrr@5
|
465 |
-
value: 0.
|
466 |
name: Dot Mrr@5
|
467 |
- type: dot_mrr@10
|
468 |
-
value: 0.
|
469 |
name: Dot Mrr@10
|
470 |
- type: dot_mrr@100
|
471 |
-
value: 0.
|
472 |
name: Dot Mrr@100
|
473 |
- type: dot_map@100
|
474 |
-
value: 0.
|
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 |
-
'
|
529 |
-
"'
|
530 |
-
"'
|
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.
|
577 |
-
| cosine_accuracy@5 | 0.
|
578 |
-
| cosine_accuracy@10 | 0.
|
579 |
-
| cosine_precision@1 | 0.
|
580 |
-
| cosine_precision@5 | 0.
|
581 |
-
| cosine_precision@10 | 0.
|
582 |
-
| cosine_recall@1 | 0.
|
583 |
-
| cosine_recall@5 | 0.
|
584 |
-
| cosine_recall@10 | 0.
|
585 |
-
| cosine_ndcg@5 | 0.
|
586 |
-
| cosine_ndcg@10 | 0.
|
587 |
-
| cosine_ndcg@100 | 0.
|
588 |
-
| cosine_mrr@5 | 0.
|
589 |
-
| cosine_mrr@10 | 0.
|
590 |
-
| cosine_mrr@100 | 0.
|
591 |
-
| **cosine_map@100** | **0.
|
592 |
-
| dot_accuracy@1 | 0.
|
593 |
-
| dot_accuracy@5 | 0.
|
594 |
-
| dot_accuracy@10 | 0.
|
595 |
-
| dot_precision@1 | 0.
|
596 |
-
| dot_precision@5 | 0.
|
597 |
-
| dot_precision@10 | 0.
|
598 |
-
| dot_recall@1 | 0.
|
599 |
-
| dot_recall@5 | 0.
|
600 |
-
| dot_recall@10 | 0.
|
601 |
-
| dot_ndcg@5 | 0.
|
602 |
-
| dot_ndcg@10 | 0.
|
603 |
-
| dot_ndcg@100 | 0.
|
604 |
-
| dot_mrr@5 | 0.
|
605 |
-
| dot_mrr@10 | 0.
|
606 |
-
| dot_mrr@100 | 0.
|
607 |
-
| dot_map@100 | 0.
|
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.
|
752 |
-
| 0.9912 | 28 | - | 0.
|
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.
|
760 |
-
- PyTorch: 2.
|
761 |
-
- Accelerate: 0.
|
762 |
-
- Datasets: 2.
|
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.
|
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.
|
5 |
-
"pytorch": "2.
|
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:
|
3 |
size 133462128
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8c570bf91953aad9727a06fc697c51a88029e9a162713dd7787db1a7d066c9c0
|
3 |
size 133462128
|