Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:20
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use justOneMoreTestCase/insurance-rag-embeddings2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use justOneMoreTestCase/insurance-rag-embeddings2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("justOneMoreTestCase/insurance-rag-embeddings2") sentences = [ "The policy covers insured individuals up to age 80, and children up to 25. The benefits include Hospital Cash, Major Surgical, Day Care, Other Surgical, Ambulance, and Premium Waiver. For the Hospital Cash Benefit, it's activated if hospitalized for more than 24 hours due to injury or sickness.", "Each of the insured are covered for\nrisks up to age (80). Children are insured up\nHealth\ntoage25years.\n•\nHospitalcashbenefit(HCB)\n•\nMajorSurgicalBenefit(MSB)\n•\nDayCareProcedureBenefit\n•\nOtherSurgicalBenefit\n•\nAmbulanceBenefit\n•\nPremiumwaiverBenefit(PWB)\nA) HospitalCashBenefit:\ndue to\nIf you or any of the insured lives covered under the policy is hospitalised\nAccidental Body Injury or Sickness and the stay in hospital exceeds a connuous\nperiodof24hours,thenforanyconnuousperiodof24hoursorpartthereof,\n1. Benefits offered under the plan are", "the Applicable Daily Benefit shall be effected on each policy anniversary during the\nCover Period and shall connue unl it a ains a maximum amount of 1.5 mes the\nInial Daily Benefit. Thereaer, this amount in each Policy Year in future shall\nremainatthatmaximumlevela ained.\n\nFurther arithmec addion of an amount equal to “No Claim Benefit” (as\ndescribed in Para 1.G) below) provided the policy a racts and is eligible for it.\nThereshallbeno maximum limitfor such increase which meansthat ifthis policyis\neligible for “No Claim Benefit”, the same shall be granted throughout the Cover\nPeriodwithoutanymaximumlimit.\nFor members\nsubsequently under the policy, the benefit in the first year\nincluded\nshall be equal to Inial Daily Benefit amount and thereaer the Applicable Daily\nBenefitshallincreaseasabove.\nIfanyofthememberinsuredisrequiredtostayinanIntensiveCareUnitofahospital,\nt\nsubject\nbenefit limits and\nwo mes the\nDaily\nwill be payable\nto\nApplicable\nBenefit", "Benefitshallincreaseasabove.\nIfanyofthememberinsuredisrequiredtostayinanIntensiveCareUnitofahospital,\nt\nsubject\nbenefit limits and\nwo mes the\nDaily\nwill be payable\nto\nApplicable\nBenefit\ncondionsmenonedinPara11A)andexclusionsmenonedinPara15below.\nDuring one period of 24 connuous hours (i.e. one day) of Hospitalisaon (aer\nhaving completed the 24 hours as above), if the said Hospitalisaon included stay\ninanIntensiveCareUnitaswellasinanyotherin-paent(non-IntensiveCareUnit)\nward of the Hospital, the Corporaon shall pay benefits as if the admission was to\nthe Intensive Care Unit provided that the period of Hospitalisaon in the Intensive\nCareUnitwasatleast4connuoushours.\npayable\nor\nNo benefit will be\nfor the first 24 hours of hospitalisaon. However, f\nevery\nthat extends for a connuous period of 7 days or more, the\nHospitalizaon\nDaily Hospital Cash Benefit would also be paid for first 24 hours (day one) of\nhospitalizaon, regardless of whether the Insured was admi ed in a general or" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
metadata
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:20
- loss:MatryoshkaLoss
- loss:MultipleNegativesRankingLoss
base_model: sentence-transformers/all-MiniLM-L6-v2
widget:
- source_sentence: >-
The policy covers insured individuals up to age 80, and children up to 25.
The benefits include Hospital Cash, Major Surgical, Day Care, Other
Surgical, Ambulance, and Premium Waiver. For the Hospital Cash Benefit,
it's activated if hospitalized for more than 24 hours due to injury or
sickness.
sentences:
- >-
Each of the insured are covered for
risks up to age (80). Children are insured up
Health
toage25years.
•
Hospitalcashbenefit(HCB)
•
MajorSurgicalBenefit(MSB)
•
DayCareProcedureBenefit
•
OtherSurgicalBenefit
•
AmbulanceBenefit
•
PremiumwaiverBenefit(PWB)
A) HospitalCashBenefit:
due to
If you or any of the insured lives covered under the policy is
hospitalised
Accidental Body Injury or Sickness and the stay in hospital exceeds a
connuous
periodof24hours,thenforanyconnuousperiodof24hoursorpartthereof,
1. Benefits offered under the plan are
- >-
the Applicable Daily Benefit shall be effected on each policy anniversary
during the
Cover Period and shall connue unl it a ains a maximum amount of 1.5 mes
the
Inial Daily Benefit. Thereaer, this amount in each Policy Year in future
shall
remainatthatmaximumlevela ained.
Further arithmec addion of an amount equal to “No Claim Benefit” (as
described in Para 1.G) below) provided the policy a racts and is
eligible for it.
Thereshallbeno maximum limitfor such increase which meansthat ifthis
policyis
eligible for “No Claim Benefit”, the same shall be granted throughout the
Cover
Periodwithoutanymaximumlimit.
For members
subsequently under the policy, the benefit in the first year
included
shall be equal to Inial Daily Benefit amount and thereaer the Applicable
Daily
Benefitshallincreaseasabove.
IfanyofthememberinsuredisrequiredtostayinanIntensiveCareUnitofahospital,
t
subject
benefit limits and
wo mes the
Daily
will be payable
to
Applicable
Benefit
- >-
Benefitshallincreaseasabove.
IfanyofthememberinsuredisrequiredtostayinanIntensiveCareUnitofahospital,
t
subject
benefit limits and
wo mes the
Daily
will be payable
to
Applicable
Benefit
condionsmenonedinPara11A)andexclusionsmenonedinPara15below.
During one period of 24 connuous hours (i.e. one day) of Hospitalisaon
(aer
having completed the 24 hours as above), if the said Hospitalisaon
included stay
inanIntensiveCareUnitaswellasinanyotherin-paent(non-IntensiveCareUnit)
ward of the Hospital, the Corporaon shall pay benefits as if the
admission was to
the Intensive Care Unit provided that the period of Hospitalisaon in the
Intensive
CareUnitwasatleast4connuoushours.
payable
or
No benefit will be
for the first 24 hours of hospitalisaon. However, f
every
that extends for a connuous period of 7 days or more, the
Hospitalizaon
Daily Hospital Cash Benefit would also be paid for first 24 hours (day
one) of
hospitalizaon, regardless of whether the Insured was admi ed in a
general or
- source_sentence: >-
The policy covers the principal insured, spouse, children, and parents.
Each has different age ranges and premiums. For example, the principal
insured has different premiums depending on their age at entry. Spouses
and parents have their own rates. Children's premiums also vary with age.
The coverage duration is up to age 80 for general health and up to 25 for
children's health, specifically mentioning hospital cash, major surgical,
and day care benefits.
sentences:
- >-
•
IncreasingHealthcovereveryyear
•
Lumpsumbenefitirrespecveofactualmedicalcosts
•
Noclaimbenefit
•
Flexiblebenefitlimittochoosefrom
•
Flexiblepremiumpaymentopons
•
Veryeasytochooseyourplan
Step 1
2
Step
Choose the level of Health cover you need
Work out the premium payable along with our Representave
Step 1: Choose the level of Health cover you need:
You can choose the amount of Inial Daily Benefit (i.e. the daily Hospital
Cash Benefit
applicableinthefirstyearofthepolicy)asperyourneedfromoutofthefollowingchoices:
` 1000 per day
` 2000 per day
` 3000 per day
` 4000 per day
This is the amount that will be payable to you in the event of
hospitalisaon in the first
year on a per day basis. The Major Surgical Benefit that you will be
covered for will be
100 mes the Inial Daily Benefit you have chosen. Thus the inial Major
Surgical
Benefit Sum Assured will be
1 lakh, 2 lakh, 3 lakh, 4 lakh respecvely. Other benefits
`
such as Day Care Procedure Benefit, Other Surgical Benefit and Premium
waiver
- >-
Each of the insured are covered for
risks up to age (80). Children are insured up
Health
toage25years.
•
Hospitalcashbenefit(HCB)
•
MajorSurgicalBenefit(MSB)
•
DayCareProcedureBenefit
•
OtherSurgicalBenefit
•
AmbulanceBenefit
•
PremiumwaiverBenefit(PWB)
A) HospitalCashBenefit:
due to
If you or any of the insured lives covered under the policy is
hospitalised
Accidental Body Injury or Sickness and the stay in hospital exceeds a
connuous
periodof24hours,thenforanyconnuousperiodof24hoursorpartthereof,
1. Benefits offered under the plan are
- >-
(Premiums indicated are exclusive of Taxes)
Who can be insured?
You (as Principal Insured (PI)), your spouse, your children, your
parents and parents of
yourspousecanallbeinsured
onepolicy.Quiteareliefisn'tit,tohaveallinsured
under
underonepolicy!
Theminimumandmaximumageatentryisasunder:
PRINCIPAL INSURED (Male)
Age at entry
20
30
40
50
Premium ( )
`
1922.65
2242.90
2799.70
3768.00
SPOUSE (Female) / PARENT (of PI/Spouse) (Female)
Premium ( )
`
1393.15
1730.65
2240.60
2849.10
Age at entry
20
30
40
50
CHILD
Premium ( )
`
792.00
794.75
812.35
870.75
Age at entry
0
5
10
15
Self / spouse
Parents / parents-in-law
Children
Minimum age
at entry
18 years
18 years
91 days
Maximum age
at entry
65 years (last birthday)
75 (last birthday)
17 years (last birthday)
Howlongareeachinsuredunderthispolicy?
Each of the insured are covered for
risks up to age (80). Children are insured up
Health
toage25years.
•
Hospitalcashbenefit(HCB)
•
MajorSurgicalBenefit(MSB)
•
DayCareProcedureBenefit
•
- source_sentence: >-
Okay, let's tackle this. The user wants me to generate two high-quality,
diverse questions based on the context provided about LIC's Jeevan Arogya.
The first question needs to be a direct factual one, and the second a
complex scenario-based one. They should not overlap and be challenging.
sentences:
- >-
LIC's JEEVAN AROGYA (UIN: 512N266V02)
(A Non-linked, Non-Parcipang,
Individual, Health Insurance Plan)
LIC's Jeevan Arogya is a unique non-parcipang non-linked plan which
provides
health insurance cover against certain specified health risks and
provides you with
mely support in case of medical emergencies and helps you and your
family remain
financiallyindependentindifficultmes.
Health has been a major concern on everybody's mind, including yours. In
these days
ofskyrockengmedicalexpenses,whenafamilymemberisill,itisatraumacmefor
the rest of the family. As a caring person, you do not want to let any
unfortunate
incident to affect your plans for you and your family. So why let any
medical
emergenciessha eryourpeaceofmind.
LIC'sJeevanArogyagivesyou:
•
Valuablefinancialproteconincaseofhospitalisaon,surgeryetc
•
IncreasingHealthcovereveryyear
•
Lumpsumbenefitirrespecveofactualmedicalcosts
•
Noclaimbenefit
•
Flexiblebenefitlimittochoosefrom
•
Flexiblepremiumpaymentopons
•
- >-
Benefit Sum Assured will be
1 lakh, 2 lakh, 3 lakh, 4 lakh respecvely. Other benefits
`
such as Day Care Procedure Benefit, Other Surgical Benefit and Premium
waiver
Benefit (PWB) menoned below shall also be payable depending upon the
daily
HospitalCashBenefitchosen.
Step 2: Work out the premium payable along with our representave
Your premium will depend on your age, gender, the Health cover opon you
have
chosen, whether you are Principal Insured or other insured life and the
mode of
payment.
Tables below give an indicave annual premium, payable yearly, for all
health benefits
corresponding to an Inial Daily Benefit of
1000 per day, for some of the ages in
respectof variouslivesthatcanbecoveredunderasinglepolicy:
- |-
Contact your LIC agent or nearest branch or
visit our website
or
www.licindia.in
SMS
to
, (e.g. Mumbai.’)
‘YOUR CITY NAME’
566773
- source_sentence: >-
Okay, let's tackle this. The user wants two high-quality questions based
on the provided insurance policy context. First, I need to make sure I
understand the context thoroughly.
sentences:
- >-
(Premiums indicated are exclusive of Taxes)
Who can be insured?
You (as Principal Insured (PI)), your spouse, your children, your
parents and parents of
yourspousecanallbeinsured
onepolicy.Quiteareliefisn'tit,tohaveallinsured
under
underonepolicy!
Theminimumandmaximumageatentryisasunder:
PRINCIPAL INSURED (Male)
Age at entry
20
30
40
50
Premium ( )
`
1922.65
2242.90
2799.70
3768.00
SPOUSE (Female) / PARENT (of PI/Spouse) (Female)
Premium ( )
`
1393.15
1730.65
2240.60
2849.10
Age at entry
20
30
40
50
CHILD
Premium ( )
`
792.00
794.75
812.35
870.75
Age at entry
0
5
10
15
Self / spouse
Parents / parents-in-law
Children
Minimum age
at entry
18 years
18 years
91 days
Maximum age
at entry
65 years (last birthday)
75 (last birthday)
17 years (last birthday)
Howlongareeachinsuredunderthispolicy?
Each of the insured are covered for
risks up to age (80). Children are insured up
Health
toage25years.
•
Hospitalcashbenefit(HCB)
•
MajorSurgicalBenefit(MSB)
•
DayCareProcedureBenefit
•
- >-
•
IncreasingHealthcovereveryyear
•
Lumpsumbenefitirrespecveofactualmedicalcosts
•
Noclaimbenefit
•
Flexiblebenefitlimittochoosefrom
•
Flexiblepremiumpaymentopons
•
Veryeasytochooseyourplan
Step 1
2
Step
Choose the level of Health cover you need
Work out the premium payable along with our Representave
Step 1: Choose the level of Health cover you need:
You can choose the amount of Inial Daily Benefit (i.e. the daily Hospital
Cash Benefit
applicableinthefirstyearofthepolicy)asperyourneedfromoutofthefollowingchoices:
` 1000 per day
` 2000 per day
` 3000 per day
` 4000 per day
This is the amount that will be payable to you in the event of
hospitalisaon in the first
year on a per day basis. The Major Surgical Benefit that you will be
covered for will be
100 mes the Inial Daily Benefit you have chosen. Thus the inial Major
Surgical
Benefit Sum Assured will be
1 lakh, 2 lakh, 3 lakh, 4 lakh respecvely. Other benefits
`
such as Day Care Procedure Benefit, Other Surgical Benefit and Premium
waiver
- >-
Benefit Sum Assured will be
1 lakh, 2 lakh, 3 lakh, 4 lakh respecvely. Other benefits
`
such as Day Care Procedure Benefit, Other Surgical Benefit and Premium
waiver
Benefit (PWB) menoned below shall also be payable depending upon the
daily
HospitalCashBenefitchosen.
Step 2: Work out the premium payable along with our representave
Your premium will depend on your age, gender, the Health cover opon you
have
chosen, whether you are Principal Insured or other insured life and the
mode of
payment.
Tables below give an indicave annual premium, payable yearly, for all
health benefits
corresponding to an Inial Daily Benefit of
1000 per day, for some of the ages in
respectof variouslivesthatcanbecoveredunderasinglepolicy:
- source_sentence: >-
Okay, I need to create two high-quality, diverse questions based on the
given insurance policy context. Let me start by understanding the context
thoroughly.
sentences:
- >-
Benefitshallincreaseasabove.
IfanyofthememberinsuredisrequiredtostayinanIntensiveCareUnitofahospital,
t
subject
benefit limits and
wo mes the
Daily
will be payable
to
Applicable
Benefit
condionsmenonedinPara11A)andexclusionsmenonedinPara15below.
During one period of 24 connuous hours (i.e. one day) of Hospitalisaon
(aer
having completed the 24 hours as above), if the said Hospitalisaon
included stay
inanIntensiveCareUnitaswellasinanyotherin-paent(non-IntensiveCareUnit)
ward of the Hospital, the Corporaon shall pay benefits as if the
admission was to
the Intensive Care Unit provided that the period of Hospitalisaon in the
Intensive
CareUnitwasatleast4connuoushours.
payable
or
No benefit will be
for the first 24 hours of hospitalisaon. However, f
every
that extends for a connuous period of 7 days or more, the
Hospitalizaon
Daily Hospital Cash Benefit would also be paid for first 24 hours (day
one) of
hospitalizaon, regardless of whether the Insured was admi ed in a
general or
- >-
Hospitalizaon
Daily Hospital Cash Benefit would also be paid for first 24 hours (day
one) of
hospitalizaon, regardless of whether the Insured was admi ed in a
general or
specialwardorinanintensivecareunit.
B) Major
Benefit:
Surgical
In the event of an Insured under this plan, due to medical necessity,
undergoing
one of the surgeries defined in Major Surgical Benefit Annexure, within
the cover
period in a hospital due to Accidental Bodily Injury or Sickness, the
respecve
benefit percentage of the Major Surgical Benefit Sum Assured, as specified
against
each of the eligible surgeries menoned in Major Surgical Benefit
Annexure, shall
be paid subject to benefit limits and condions menoned in Para 11B) and
exclusionsmenonedinPara15below.
- >-
Hospitalizaon
Daily Hospital Cash Benefit would also be paid for first 24 hours (day
one) of
hospitalizaon, regardless of whether the Insured was admi ed in a
general or
specialwardorinanintensivecareunit.
B) Major
Benefit:
Surgical
In the event of an Insured under this plan, due to medical necessity,
undergoing
one of the surgeries defined in Major Surgical Benefit Annexure, within
the cover
period in a hospital due to Accidental Bodily Injury or Sickness, the
respecve
benefit percentage of the Major Surgical Benefit Sum Assured, as specified
against
each of the eligible surgeries menoned in Major Surgical Benefit
Annexure, shall
be paid subject to benefit limits and condions menoned in Para 11B) and
exclusionsmenonedinPara15below.
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics:
- cosine_accuracy@1
- cosine_accuracy@3
- cosine_accuracy@5
- cosine_accuracy@10
- cosine_precision@1
- cosine_precision@3
- cosine_precision@5
- cosine_precision@10
- cosine_recall@1
- cosine_recall@3
- cosine_recall@5
- cosine_recall@10
- cosine_ndcg@10
- cosine_mrr@10
- cosine_map@100
model-index:
- name: SentenceTransformer based on sentence-transformers/all-MiniLM-L6-v2
results:
- task:
type: information-retrieval
name: Information Retrieval
dataset:
name: Unknown
type: unknown
metrics:
- type: cosine_accuracy@1
value: 0.033783783783783786
name: Cosine Accuracy@1
- type: cosine_accuracy@3
value: 0.0472972972972973
name: Cosine Accuracy@3
- type: cosine_accuracy@5
value: 0.06756756756756757
name: Cosine Accuracy@5
- type: cosine_accuracy@10
value: 0.14189189189189189
name: Cosine Accuracy@10
- type: cosine_precision@1
value: 0.033783783783783786
name: Cosine Precision@1
- type: cosine_precision@3
value: 0.015765765765765764
name: Cosine Precision@3
- type: cosine_precision@5
value: 0.013513513513513514
name: Cosine Precision@5
- type: cosine_precision@10
value: 0.014189189189189193
name: Cosine Precision@10
- type: cosine_recall@1
value: 0.033783783783783786
name: Cosine Recall@1
- type: cosine_recall@3
value: 0.0472972972972973
name: Cosine Recall@3
- type: cosine_recall@5
value: 0.06756756756756757
name: Cosine Recall@5
- type: cosine_recall@10
value: 0.14189189189189189
name: Cosine Recall@10
- type: cosine_ndcg@10
value: 0.07433254903506138
name: Cosine Ndcg@10
- type: cosine_mrr@10
value: 0.0544937794937795
name: Cosine Mrr@10
- type: cosine_map@100
value: 0.08155164318066088
name: Cosine Map@100
SentenceTransformer based on sentence-transformers/all-MiniLM-L6-v2
This is a sentence-transformers model finetuned from sentence-transformers/all-MiniLM-L6-v2. It maps sentences & paragraphs to a 384-dimensional dense vector space and can be used for retrieval.
Model Details
Model Description
- Model Type: Sentence Transformer
- Base model: sentence-transformers/all-MiniLM-L6-v2
- Maximum Sequence Length: 256 tokens
- Output Dimensionality: 384 dimensions
- Similarity Function: Cosine Similarity
- Supported Modality: Text
Model Sources
- Documentation: Sentence Transformers Documentation
- Repository: Sentence Transformers on GitHub
- Hugging Face: Sentence Transformers on Hugging Face
Full Model Architecture
SentenceTransformer(
(0): Transformer({'transformer_task': 'feature-extraction', 'modality_config': {'text': {'method': 'forward', 'method_output_name': 'last_hidden_state'}}, 'module_output_name': 'token_embeddings', 'architecture': 'BertModel'})
(1): Pooling({'embedding_dimension': 384, 'pooling_mode': 'mean', 'include_prompt': True})
(2): Normalize({})
)
Usage
Direct Usage (Sentence Transformers)
First install the Sentence Transformers library:
pip install -U sentence-transformers
Then you can load this model and run inference.
from sentence_transformers import SentenceTransformer
# Download from the 🤗 Hub
model = SentenceTransformer("sentence_transformers_model_id")
# Run inference
sentences = [
'Okay, I need to create two high-quality, diverse questions based on the given insurance policy context. Let me start by understanding the context thoroughly.',
'Hospitalizaon\nDaily Hospital Cash Benefit would also be paid for first 24 hours (day one) of\nhospitalizaon, regardless of whether the Insured was admi ed in a general or\nspecialwardorinanintensivecareunit.\nB) Major\nBenefit:\nSurgical\nIn the event of an Insured under this plan, due to medical necessity, undergoing\none of the surgeries defined in Major Surgical Benefit Annexure, within the cover\nperiod in a hospital due to Accidental Bodily Injury or Sickness, the respecve\nbenefit percentage of the Major Surgical Benefit Sum Assured, as specified against\neach of the eligible surgeries menoned in Major Surgical Benefit Annexure, shall\nbe paid subject to benefit limits and condions menoned in Para 11B) and\nexclusionsmenonedinPara15below.',
'Benefitshallincreaseasabove.\nIfanyofthememberinsuredisrequiredtostayinanIntensiveCareUnitofahospital,\nt\nsubject\nbenefit limits and\nwo mes the\nDaily\nwill be payable\nto\nApplicable\nBenefit\ncondionsmenonedinPara11A)andexclusionsmenonedinPara15below.\nDuring one period of 24 connuous hours (i.e. one day) of Hospitalisaon (aer\nhaving completed the 24 hours as above), if the said Hospitalisaon included stay\ninanIntensiveCareUnitaswellasinanyotherin-paent(non-IntensiveCareUnit)\nward of the Hospital, the Corporaon shall pay benefits as if the admission was to\nthe Intensive Care Unit provided that the period of Hospitalisaon in the Intensive\nCareUnitwasatleast4connuoushours.\npayable\nor\nNo benefit will be\nfor the first 24 hours of hospitalisaon. However, f\nevery\nthat extends for a connuous period of 7 days or more, the\nHospitalizaon\nDaily Hospital Cash Benefit would also be paid for first 24 hours (day one) of\nhospitalizaon, regardless of whether the Insured was admi ed in a general or',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 384]
# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities)
# tensor([[1.0000, 0.3726, 0.2615],
# [0.3726, 1.0000, 0.7728],
# [0.2615, 0.7728, 1.0000]])
Evaluation
Metrics
Information Retrieval
- Evaluated with
InformationRetrievalEvaluator
| Metric | Value |
|---|---|
| cosine_accuracy@1 | 0.0338 |
| cosine_accuracy@3 | 0.0473 |
| cosine_accuracy@5 | 0.0676 |
| cosine_accuracy@10 | 0.1419 |
| cosine_precision@1 | 0.0338 |
| cosine_precision@3 | 0.0158 |
| cosine_precision@5 | 0.0135 |
| cosine_precision@10 | 0.0142 |
| cosine_recall@1 | 0.0338 |
| cosine_recall@3 | 0.0473 |
| cosine_recall@5 | 0.0676 |
| cosine_recall@10 | 0.1419 |
| cosine_ndcg@10 | 0.0743 |
| cosine_mrr@10 | 0.0545 |
| cosine_map@100 | 0.0816 |
Training Details
Training Dataset
Unnamed Dataset
- Size: 20 training samples
- Columns:
sentence_0andsentence_1 - Approximate statistics based on the first 20 samples:
sentence_0 sentence_1 type string string details - min: 26 tokens
- mean: 56.7 tokens
- max: 98 tokens
- min: 44 tokens
- mean: 214.1 tokens
- max: 256 tokens
- Samples:
sentence_0 sentence_1 What happens if a policyholder chooses a lower Initial Daily Benefit (e.g., ₹1,000) but later requires a major surgery costing significantly more than the 100x multiplier of their selected daily benefit? How does the policy’s lump sum benefit structure affect their coverage in this scenario?•
IncreasingHealthcovereveryyear
•
Lumpsumbenefitirrespecveofactualmedicalcosts
•
Noclaimbenefit
•
Flexiblebenefitlimittochoosefrom
•
Flexiblepremiumpaymentopons
•
Veryeasytochooseyourplan
Step 1
2
Step
Choose the level of Health cover you need
Work out the premium payable along with our Representave
Step 1: Choose the level of Health cover you need:
You can choose the amount of Inial Daily Benefit (i.e. the daily Hospital Cash Benefit
applicableinthefirstyearofthepolicy)asperyourneedfromoutofthefollowingchoices:1000 per day<br>2000 per day3000 per day<br>4000 per day
This is the amount that will be payable to you in the event of hospitalisaon in the first
year on a per day basis. The Major Surgical Benefit that you will be covered for will be
100 mes the Inial Daily Benefit you have chosen. Thus the inial Major Surgical
Benefit Sum Assured will be
1 lakh, 2 lakh, 3 lakh, 4 lakh respecvely. Other benefits
`
such as Day Care Procedure Benefit, Other Surgical Benefit and Premium waiverOkay, let's tackle this. The user wants me to generate two high-quality, diverse questions based on the context provided about LIC's Jeevan Arogya. The first question needs to be a direct factual one, and the second a complex scenario-based one. They should not overlap and be challenging.LIC's JEEVAN AROGYA (UIN: 512N266V02)
(A Non-linked, Non-Parcipang,
Individual, Health Insurance Plan)
LIC's Jeevan Arogya is a unique non-parcipang non-linked plan which provides
health insurance cover against certain specified health risks and provides you with
mely support in case of medical emergencies and helps you and your family remain
financiallyindependentindifficultmes.
Health has been a major concern on everybody's mind, including yours. In these days
ofskyrockengmedicalexpenses,whenafamilymemberisill,itisatraumacmefor
the rest of the family. As a caring person, you do not want to let any unfortunate
incident to affect your plans for you and your family. So why let any medical
emergenciessha eryourpeaceofmind.
LIC'sJeevanArogyagivesyou:
•
Valuablefinancialproteconincaseofhospitalisaon,surgeryetc
•
IncreasingHealthcovereveryyear
•
Lumpsumbenefitirrespecveofactualmedicalcosts
•
Noclaimbenefit
•
Flexiblebenefitlimittochoosefrom
•
Flexiblepremiumpaymentopons
•Okay, let me tackle this. The user wants two high-quality, diverse questions based on the given insurance policy context. First, I need to understand the context thoroughly.Each of the insured are covered for
risks up to age (80). Children are insured up
Health
toage25years.
•
Hospitalcashbenefit(HCB)
•
MajorSurgicalBenefit(MSB)
•
DayCareProcedureBenefit
•
OtherSurgicalBenefit
•
AmbulanceBenefit
•
PremiumwaiverBenefit(PWB)
A) HospitalCashBenefit:
due to
If you or any of the insured lives covered under the policy is hospitalised
Accidental Body Injury or Sickness and the stay in hospital exceeds a connuous
periodof24hours,thenforanyconnuousperiodof24hoursorpartthereof,
1. Benefits offered under the plan are - Loss:
MatryoshkaLosswith these parameters:{ "loss": "MultipleNegativesRankingLoss", "matryoshka_dims": [ 384, 256, 128, 64 ], "matryoshka_weights": [ 1, 1, 1, 1 ], "n_dims_per_step": -1 }
Training Hyperparameters
Non-Default Hyperparameters
per_device_train_batch_size: 10per_device_eval_batch_size: 10num_train_epochs: 5multi_dataset_batch_sampler: round_robin
All Hyperparameters
Click to expand
do_predict: Falseprediction_loss_only: Trueper_device_train_batch_size: 10per_device_eval_batch_size: 10gradient_accumulation_steps: 1eval_accumulation_steps: Nonetorch_empty_cache_steps: Nonelearning_rate: 5e-05weight_decay: 0.0adam_beta1: 0.9adam_beta2: 0.999adam_epsilon: 1e-08max_grad_norm: 1num_train_epochs: 5max_steps: -1lr_scheduler_type: linearlr_scheduler_kwargs: Nonewarmup_ratio: Nonewarmup_steps: 0log_level: passivelog_level_replica: warninglog_on_each_node: Truelogging_nan_inf_filter: Trueenable_jit_checkpoint: Falsesave_on_each_node: Falsesave_only_model: Falserestore_callback_states_from_checkpoint: Falseuse_cpu: Falseseed: 42data_seed: Nonebf16: Falsefp16: Falsebf16_full_eval: Falsefp16_full_eval: Falsetf32: Nonelocal_rank: -1ddp_backend: Nonedebug: []dataloader_drop_last: Falsedataloader_num_workers: 0dataloader_prefetch_factor: Nonedisable_tqdm: Falseremove_unused_columns: Truelabel_names: Noneload_best_model_at_end: Falseignore_data_skip: Falsefsdp: []fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}accelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}parallelism_config: Nonedeepspeed: Nonelabel_smoothing_factor: 0.0optim: adamw_torch_fusedoptim_args: Nonegroup_by_length: Falselength_column_name: lengthproject: huggingfacetrackio_space_id: trackioddp_find_unused_parameters: Noneddp_bucket_cap_mb: Noneddp_broadcast_buffers: Falsedataloader_pin_memory: Truedataloader_persistent_workers: Falseskip_memory_metrics: Truepush_to_hub: Falseresume_from_checkpoint: Nonehub_model_id: Nonehub_strategy: every_savehub_private_repo: Nonehub_always_push: Falsehub_revision: Nonegradient_checkpointing: Falsegradient_checkpointing_kwargs: Noneinclude_for_metrics: []eval_do_concat_batches: Trueauto_find_batch_size: Falsefull_determinism: Falseddp_timeout: 1800torch_compile: Falsetorch_compile_backend: Nonetorch_compile_mode: Noneinclude_num_input_tokens_seen: noneftune_noise_alpha: Noneoptim_target_modules: Nonebatch_eval_metrics: Falseeval_on_start: Falseuse_liger_kernel: Falseliger_kernel_config: Noneeval_use_gather_object: Falseaverage_tokens_across_devices: Trueuse_cache: Falseprompts: Nonebatch_sampler: batch_samplermulti_dataset_batch_sampler: round_robinrouter_mapping: {}learning_rate_mapping: {}
Training Logs
| Epoch | Step | cosine_ndcg@10 |
|---|---|---|
| 1.0 | 2 | 0.0742 |
| 2.0 | 4 | 0.0742 |
| 3.0 | 6 | 0.0742 |
| 4.0 | 8 | 0.0742 |
| 5.0 | 10 | 0.0743 |
Training Time
- Training: 4.9 seconds
Framework Versions
- Python: 3.12.13
- Sentence Transformers: 5.4.1
- Transformers: 5.0.0
- PyTorch: 2.10.0+cu128
- Accelerate: 1.13.0
- Datasets: 4.8.5
- Tokenizers: 0.22.2
Citation
BibTeX
Sentence Transformers
@inproceedings{reimers-2019-sentence-bert,
title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
author = "Reimers, Nils and Gurevych, Iryna",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
month = "11",
year = "2019",
publisher = "Association for Computational Linguistics",
url = "https://arxiv.org/abs/1908.10084",
}
MatryoshkaLoss
@misc{kusupati2024matryoshka,
title={Matryoshka Representation Learning},
author={Aditya Kusupati and Gantavya Bhatt and Aniket Rege and Matthew Wallingford and Aditya Sinha and Vivek Ramanujan and William Howard-Snyder and Kaifeng Chen and Sham Kakade and Prateek Jain and Ali Farhadi},
year={2024},
eprint={2205.13147},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
MultipleNegativesRankingLoss
@misc{oord2019representationlearningcontrastivepredictive,
title={Representation Learning with Contrastive Predictive Coding},
author={Aaron van den Oord and Yazhe Li and Oriol Vinyals},
year={2019},
eprint={1807.03748},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/1807.03748},
}