Sentence Similarity
sentence-transformers
Safetensors
nomic_bert
feature-extraction
Generated from Trainer
dataset_size:20
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
custom_code
Eval Results (legacy)
text-embeddings-inference
Instructions to use justOneMoreTestCase/insurance-rag-embeddings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use justOneMoreTestCase/insurance-rag-embeddings with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("justOneMoreTestCase/insurance-rag-embeddings", trust_remote_code=True) sentences = [ "How can I contact my LIC agent or nearest branch according to the provided instructions?", "Contact your LIC agent or nearest branch or\nvisit our website\nor\nwww.licindia.in\nSMS\nto\n, (e.g. Mumbai.’)\n‘YOUR CITY NAME’\n566773", "LIC's JEEVAN AROGYA (UIN: 512N266V02)\n(A Non-linked, Non-Parcipang,\nIndividual, Health Insurance Plan)\nLIC's Jeevan Arogya is a unique non-parcipang non-linked plan which provides\nhealth insurance cover against certain specified health risks and provides you with\nmely support in case of medical emergencies and helps you and your family remain\nfinanciallyindependentindifficultmes.\nHealth has been a major concern on everybody's mind, including yours. In these days\nofskyrockengmedicalexpenses,whenafamilymemberisill,itisatraumacmefor\nthe rest of the family. As a caring person, you do not want to let any unfortunate\nincident to affect your plans for you and your family. So why let any medical\nemergenciessha eryourpeaceofmind.", "Contact your LIC agent or nearest branch or\nvisit our website\nor\nwww.licindia.in\nSMS\nto\n, (e.g. Mumbai.’)\n‘YOUR CITY NAME’\n566773" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- README.md +682 -113
- eval/Information-Retrieval_evaluation_results.csv +5 -0
- model.safetensors +1 -1
README.md
CHANGED
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- sentence-similarity
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- feature-extraction
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- generated_from_trainer
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- dataset_size:
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- loss:MatryoshkaLoss
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- loss:MultipleNegativesRankingLoss
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base_model: nomic-ai/nomic-embed-text-v1.5
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widget:
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sentences:
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sentences:
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| 77 |
pipeline_tag: sentence-similarity
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library_name: sentence-transformers
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metrics:
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@@ -103,49 +672,49 @@ model-index:
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type: unknown
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metrics:
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- type: cosine_accuracy@1
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-
value: 0.
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name: Cosine Accuracy@1
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- type: cosine_accuracy@3
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value: 0.
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name: Cosine Accuracy@3
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- type: cosine_accuracy@5
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value: 0.
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name: Cosine Accuracy@5
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- type: cosine_accuracy@10
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value:
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name: Cosine Accuracy@10
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- type: cosine_precision@1
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value: 0.
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name: Cosine Precision@1
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- type: cosine_precision@3
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value: 0.
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name: Cosine Precision@3
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- type: cosine_precision@5
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value: 0.
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name: Cosine Precision@5
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- type: cosine_precision@10
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value: 0.
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name: Cosine Precision@10
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- type: cosine_recall@1
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value: 0.
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name: Cosine Recall@1
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- type: cosine_recall@3
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value: 0.
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name: Cosine Recall@3
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- type: cosine_recall@5
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value: 0.
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name: Cosine Recall@5
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- type: cosine_recall@10
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value:
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name: Cosine Recall@10
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- type: cosine_ndcg@10
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value: 0.
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name: Cosine Ndcg@10
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- type: cosine_mrr@10
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value: 0.
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name: Cosine Mrr@10
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- type: cosine_map@100
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value: 0.
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name: Cosine Map@100
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---
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| 151 |
|
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@@ -198,9 +767,9 @@ from sentence_transformers import SentenceTransformer
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model = SentenceTransformer("sentence_transformers_model_id")
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# Run inference
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| 200 |
sentences = [
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-
'
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-
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-
'
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]
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embeddings = model.encode(sentences)
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print(embeddings.shape)
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@@ -209,9 +778,9 @@ print(embeddings.shape)
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# Get the similarity scores for the embeddings
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similarities = model.similarity(embeddings, embeddings)
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print(similarities)
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-
# tensor([[1.0000, 0.
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-
# [0.
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-
# [0.
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```
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<!--
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### Direct Usage (Transformers)
|
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@@ -247,21 +816,21 @@ You can finetune this model on your own dataset.
|
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|
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| Metric | Value |
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| 249 |
|:--------------------|:-----------|
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| 250 |
-
| cosine_accuracy@1 | 0.
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| 251 |
-
| cosine_accuracy@3 | 0.
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| 252 |
-
| cosine_accuracy@5 | 0.
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| 253 |
-
| cosine_accuracy@10 |
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-
| cosine_precision@1 | 0.
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| 255 |
-
| cosine_precision@3 | 0.
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| 256 |
-
| cosine_precision@5 | 0.
|
| 257 |
-
| cosine_precision@10 | 0.
|
| 258 |
-
| cosine_recall@1 | 0.
|
| 259 |
-
| cosine_recall@3 | 0.
|
| 260 |
-
| cosine_recall@5 | 0.
|
| 261 |
-
| cosine_recall@10 |
|
| 262 |
-
| **cosine_ndcg@10** | **0.
|
| 263 |
-
| cosine_mrr@10 | 0.
|
| 264 |
-
| cosine_map@100 | 0.
|
| 265 |
|
| 266 |
<!--
|
| 267 |
## Bias, Risks and Limitations
|
|
@@ -281,19 +850,19 @@ You can finetune this model on your own dataset.
|
|
| 281 |
|
| 282 |
#### Unnamed Dataset
|
| 283 |
|
| 284 |
-
* Size:
|
| 285 |
* Columns: <code>sentence_0</code> and <code>sentence_1</code>
|
| 286 |
-
* Approximate statistics based on the first
|
| 287 |
-
| | sentence_0
|
| 288 |
-
|:--------|:----------------------------------------------------------------------------------|:------------------------------------------------------------------------------------
|
| 289 |
-
| type | string
|
| 290 |
-
| details | <ul><li>min:
|
| 291 |
* Samples:
|
| 292 |
-
| sentence_0
|
| 293 |
-
|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
|
| 294 |
-
| <code>
|
| 295 |
-
| <code>
|
| 296 |
-
| <code>
|
| 297 |
* Loss: [<code>MatryoshkaLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#matryoshkaloss) with these parameters:
|
| 298 |
```json
|
| 299 |
{
|
|
@@ -429,11 +998,11 @@ You can finetune this model on your own dataset.
|
|
| 429 |
### Training Logs
|
| 430 |
| Epoch | Step | cosine_ndcg@10 |
|
| 431 |
|:-----:|:----:|:--------------:|
|
| 432 |
-
| 1.0 |
|
| 433 |
|
| 434 |
|
| 435 |
### Training Time
|
| 436 |
-
- **Training**: 1.
|
| 437 |
|
| 438 |
### Framework Versions
|
| 439 |
- Python: 3.12.13
|
|
|
|
| 4 |
- sentence-similarity
|
| 5 |
- feature-extraction
|
| 6 |
- generated_from_trainer
|
| 7 |
+
- dataset_size:20
|
| 8 |
- loss:MatryoshkaLoss
|
| 9 |
- loss:MultipleNegativesRankingLoss
|
| 10 |
base_model: nomic-ai/nomic-embed-text-v1.5
|
| 11 |
widget:
|
| 12 |
+
- source_sentence: How can I contact my LIC agent or nearest branch according to the
|
| 13 |
+
provided instructions?
|
| 14 |
sentences:
|
| 15 |
+
- 'Contact your LIC agent or nearest branch or
|
| 16 |
+
|
| 17 |
+
visit our website
|
| 18 |
+
|
| 19 |
+
or
|
| 20 |
+
|
| 21 |
+
www.licindia.in
|
| 22 |
+
|
| 23 |
+
SMS
|
| 24 |
+
|
| 25 |
+
to
|
| 26 |
+
|
| 27 |
+
, (e.g. Mumbai.’)
|
| 28 |
+
|
| 29 |
+
‘YOUR CITY NAME’
|
| 30 |
+
|
| 31 |
+
566773'
|
| 32 |
+
- 'LIC''s JEEVAN AROGYA (UIN: 512N266V02)
|
| 33 |
+
|
| 34 |
+
(A Non-linked, Non-Parcipang,
|
| 35 |
+
|
| 36 |
+
Individual, Health Insurance Plan)
|
| 37 |
+
|
| 38 |
+
LIC''s Jeevan Arogya is a unique non-parcipang non-linked plan which provides
|
| 39 |
+
|
| 40 |
+
health insurance cover against certain specified health risks and provides you
|
| 41 |
+
with
|
| 42 |
+
|
| 43 |
+
mely support in case of medical emergencies and helps you and your family remain
|
| 44 |
+
|
| 45 |
+
financiallyindependentindifficultmes.
|
| 46 |
+
|
| 47 |
+
Health has been a major concern on everybody''s mind, including yours. In these
|
| 48 |
+
days
|
| 49 |
+
|
| 50 |
+
ofskyrockengmedicalexpenses,whenafamilymemberisill,itisatraumacmefor
|
| 51 |
+
|
| 52 |
+
the rest of the family. As a caring person, you do not want to let any unfortunate
|
| 53 |
+
|
| 54 |
+
incident to affect your plans for you and your family. So why let any medical
|
| 55 |
+
|
| 56 |
+
emergenciessha eryourpeaceofmind.'
|
| 57 |
+
- 'Contact your LIC agent or nearest branch or
|
| 58 |
+
|
| 59 |
+
visit our website
|
| 60 |
+
|
| 61 |
+
or
|
| 62 |
+
|
| 63 |
+
www.licindia.in
|
| 64 |
+
|
| 65 |
+
SMS
|
| 66 |
+
|
| 67 |
+
to
|
| 68 |
+
|
| 69 |
+
, (e.g. Mumbai.’)
|
| 70 |
+
|
| 71 |
+
‘YOUR CITY NAME’
|
| 72 |
+
|
| 73 |
+
566773'
|
| 74 |
+
- source_sentence: How does the premium for a spouse (female) change as the age at
|
| 75 |
+
entry increases from 20 to 50 years?
|
| 76 |
+
sentences:
|
| 77 |
+
- 'Benefit to the Applicable Daily Benefit of the previous Policy Year. Such increase
|
| 78 |
+
in
|
| 79 |
+
|
| 80 |
+
the Applicable Daily Benefit shall be effected on each policy anniversary during
|
| 81 |
+
the
|
| 82 |
+
|
| 83 |
+
Cover Period and shall connue unl it a ains a maximum amount of 1.5 mes the
|
| 84 |
+
|
| 85 |
+
Inial Daily Benefit. Thereaer, this amount in each Policy Year in future shall
|
| 86 |
+
|
| 87 |
+
remainatthatmaximumlevela ained.
|
| 88 |
+
|
| 89 |
+
|
| 90 |
+
Further arithmec addion of an amount equal to “No Claim Benefit” (as
|
| 91 |
+
|
| 92 |
+
described in Para 1.G) below) provided the policy a racts and is eligible for
|
| 93 |
+
it.
|
| 94 |
+
|
| 95 |
+
Thereshallbeno maximum limitfor such increase which meansthat ifthis policyis
|
| 96 |
+
|
| 97 |
+
eligible for “No Claim Benefit”, the same shall be granted throughout the Cover
|
| 98 |
+
|
| 99 |
+
Periodwithoutanymaximumlimit.
|
| 100 |
+
|
| 101 |
+
For members'
|
| 102 |
+
- 'chosen, whether you are Principal Insured or other insured life and the mode
|
| 103 |
+
of
|
| 104 |
+
|
| 105 |
+
payment.
|
| 106 |
+
|
| 107 |
+
Tables below give an indicave annual premium, payable yearly, for all health benefits
|
| 108 |
+
|
| 109 |
+
corresponding to an Inial Daily Benefit of
|
| 110 |
+
|
| 111 |
+
1000 per day, for some of the ages in
|
| 112 |
+
|
| 113 |
+
|
| 114 |
+
respectof variouslivesthatcanbecoveredunderasinglepolicy:'
|
| 115 |
+
- '(Premiums indicated are exclusive of Taxes)
|
| 116 |
+
|
| 117 |
+
Who can be insured?
|
| 118 |
+
|
| 119 |
+
You (as Principal Insured (PI)), your spouse, your children, your parents and
|
| 120 |
+
parents of
|
| 121 |
+
|
| 122 |
+
yourspousecanallbeinsured
|
| 123 |
+
|
| 124 |
+
onepolicy.Quiteareliefisn''tit,tohaveallinsured
|
| 125 |
+
|
| 126 |
+
under
|
| 127 |
+
|
| 128 |
+
underonepolicy!
|
| 129 |
+
|
| 130 |
+
Theminimumandmaximumageatentryisasunder:
|
| 131 |
+
|
| 132 |
+
PRINCIPAL INSURED (Male)
|
| 133 |
+
|
| 134 |
+
Age at entry
|
| 135 |
+
|
| 136 |
+
20
|
| 137 |
+
|
| 138 |
+
30
|
| 139 |
+
|
| 140 |
+
40
|
| 141 |
+
|
| 142 |
+
50
|
| 143 |
+
|
| 144 |
+
Premium ( )
|
| 145 |
+
|
| 146 |
+
`
|
| 147 |
+
|
| 148 |
+
1922.65
|
| 149 |
+
|
| 150 |
+
2242.90
|
| 151 |
+
|
| 152 |
+
2799.70
|
| 153 |
+
|
| 154 |
+
3768.00
|
| 155 |
+
|
| 156 |
+
SPOUSE (Female) / PARENT (of PI/Spouse) (Female)
|
| 157 |
+
|
| 158 |
+
Premium ( )
|
| 159 |
+
|
| 160 |
+
`
|
| 161 |
+
|
| 162 |
+
1393.15
|
| 163 |
+
|
| 164 |
+
1730.65
|
| 165 |
+
|
| 166 |
+
2240.60
|
| 167 |
+
|
| 168 |
+
2849.10
|
| 169 |
+
|
| 170 |
+
Age at entry
|
| 171 |
+
|
| 172 |
+
20
|
| 173 |
+
|
| 174 |
+
30
|
| 175 |
+
|
| 176 |
+
40
|
| 177 |
+
|
| 178 |
+
50
|
| 179 |
+
|
| 180 |
+
CHILD
|
| 181 |
+
|
| 182 |
+
Premium ( )
|
| 183 |
+
|
| 184 |
+
`
|
| 185 |
+
|
| 186 |
+
792.00
|
| 187 |
+
|
| 188 |
+
794.75
|
| 189 |
+
|
| 190 |
+
812.35
|
| 191 |
+
|
| 192 |
+
870.75
|
| 193 |
+
|
| 194 |
+
Age at entry
|
| 195 |
+
|
| 196 |
+
0
|
| 197 |
+
|
| 198 |
+
5
|
| 199 |
+
|
| 200 |
+
10
|
| 201 |
+
|
| 202 |
+
15
|
| 203 |
+
|
| 204 |
+
Self / spouse
|
| 205 |
+
|
| 206 |
+
Parents / parents-in-law
|
| 207 |
+
|
| 208 |
+
Children
|
| 209 |
+
|
| 210 |
+
Minimum age
|
| 211 |
+
|
| 212 |
+
at entry
|
| 213 |
+
|
| 214 |
+
18 years
|
| 215 |
+
|
| 216 |
+
18 years
|
| 217 |
+
|
| 218 |
+
91 days
|
| 219 |
+
|
| 220 |
+
Maximum age
|
| 221 |
+
|
| 222 |
+
at entry
|
| 223 |
+
|
| 224 |
+
65 years (last birthday)
|
| 225 |
+
|
| 226 |
+
75 (last birthday)'
|
| 227 |
+
- source_sentence: Which additional benefits are stated to be payable depending on
|
| 228 |
+
the chosen daily Hospital Cash Benefit?
|
| 229 |
+
sentences:
|
| 230 |
+
- '` 2000 per day
|
| 231 |
+
|
| 232 |
+
` 3000 per day
|
| 233 |
+
|
| 234 |
+
` 4000 per day
|
| 235 |
+
|
| 236 |
+
This is the amount that will be payable to you in the event of hospitalisaon in
|
| 237 |
+
the first
|
| 238 |
+
|
| 239 |
+
year on a per day basis. The Major Surgical Benefit that you will be covered for
|
| 240 |
+
will be
|
| 241 |
+
|
| 242 |
+
100 mes the Inial Daily Benefit you have chosen. Thus the inial Major Surgical
|
| 243 |
+
|
| 244 |
+
Benefit Sum Assured will be
|
| 245 |
+
|
| 246 |
+
1 lakh, 2 lakh, 3 lakh, 4 lakh respecvely. Other benefits
|
| 247 |
+
|
| 248 |
+
`
|
| 249 |
+
|
| 250 |
+
such as Day Care Procedure Benefit, Other Surgical Benefit and Premium waiver
|
| 251 |
+
|
| 252 |
+
Benefit (PWB) menoned below shall also be payable depending upon the daily
|
| 253 |
+
|
| 254 |
+
HospitalCashBenefitchosen.
|
| 255 |
+
|
| 256 |
+
Step 2: Work out the premium payable along with our representave
|
| 257 |
+
|
| 258 |
+
Your premium will depend on your age, gender, the Health cover opon you have'
|
| 259 |
+
- 'chosen, whether you are Principal Insured or other insured life and the mode
|
| 260 |
+
of
|
| 261 |
+
|
| 262 |
+
payment.
|
| 263 |
+
|
| 264 |
+
Tables below give an indicave annual premium, payable yearly, for all health benefits
|
| 265 |
+
|
| 266 |
+
corresponding to an Inial Daily Benefit of
|
| 267 |
+
|
| 268 |
+
1000 per day, for some of the ages in
|
| 269 |
+
|
| 270 |
+
|
| 271 |
+
respectof variouslivesthatcanbecoveredunderasinglepolicy:'
|
| 272 |
+
- '65 years (last birthday)
|
| 273 |
+
|
| 274 |
+
75 (last birthday)
|
| 275 |
+
|
| 276 |
+
17 years (last birthday)
|
| 277 |
+
|
| 278 |
+
Howlongareeachinsuredunderthispolicy?
|
| 279 |
+
|
| 280 |
+
Each of the insured are covered for
|
| 281 |
+
|
| 282 |
+
risks up to age (80). Children are insured up
|
| 283 |
+
|
| 284 |
+
Health
|
| 285 |
+
|
| 286 |
+
toage25years.
|
| 287 |
+
|
| 288 |
+
•
|
| 289 |
+
|
| 290 |
+
Hospitalcashbenefit(HCB)
|
| 291 |
+
|
| 292 |
+
•
|
| 293 |
+
|
| 294 |
+
MajorSurgicalBenefit(MSB)
|
| 295 |
+
|
| 296 |
+
•
|
| 297 |
+
|
| 298 |
+
DayCareProcedureBenefit
|
| 299 |
+
|
| 300 |
+
•
|
| 301 |
+
|
| 302 |
+
OtherSurgicalBenefit
|
| 303 |
+
|
| 304 |
+
•
|
| 305 |
+
|
| 306 |
+
AmbulanceBenefit
|
| 307 |
+
|
| 308 |
+
•
|
| 309 |
+
|
| 310 |
+
PremiumwaiverBenefit(PWB)
|
| 311 |
+
|
| 312 |
+
A) HospitalCashBenefit:
|
| 313 |
+
|
| 314 |
+
due to
|
| 315 |
+
|
| 316 |
+
If you or any of the insured lives covered under the policy is hospitalised
|
| 317 |
+
|
| 318 |
+
Accidental Body Injury or Sickness and the stay in hospital exceeds a connuous
|
| 319 |
+
|
| 320 |
+
periodof24hours,thenforanyconnuousperiodof24hoursorpartthereof,
|
| 321 |
+
|
| 322 |
+
1. Benefits offered under the plan are'
|
| 323 |
+
- source_sentence: If a policyholder selects a daily Hospital Cash Benefit of 3000
|
| 324 |
+
per day, what will be the Initial Major Surgical Benefit sum assured?
|
| 325 |
+
sentences:
|
| 326 |
+
- '` 2000 per day
|
| 327 |
+
|
| 328 |
+
` 3000 per day
|
| 329 |
+
|
| 330 |
+
` 4000 per day
|
| 331 |
+
|
| 332 |
+
This is the amount that will be payable to you in the event of hospitalisaon in
|
| 333 |
+
the first
|
| 334 |
+
|
| 335 |
+
year on a per day basis. The Major Surgical Benefit that you will be covered for
|
| 336 |
+
will be
|
| 337 |
+
|
| 338 |
+
100 mes the Inial Daily Benefit you have chosen. Thus the inial Major Surgical
|
| 339 |
+
|
| 340 |
+
Benefit Sum Assured will be
|
| 341 |
+
|
| 342 |
+
1 lakh, 2 lakh, 3 lakh, 4 lakh respecvely. Other benefits
|
| 343 |
+
|
| 344 |
+
`
|
| 345 |
+
|
| 346 |
+
such as Day Care Procedure Benefit, Other Surgical Benefit and Premium waiver
|
| 347 |
+
|
| 348 |
+
Benefit (PWB) menoned below shall also be payable depending upon the daily
|
| 349 |
+
|
| 350 |
+
HospitalCashBenefitchosen.
|
| 351 |
+
|
| 352 |
+
Step 2: Work out the premium payable along with our representave
|
| 353 |
+
|
| 354 |
+
Your premium will depend on your age, gender, the Health cover opon you have'
|
| 355 |
+
- '65 years (last birthday)
|
| 356 |
+
|
| 357 |
+
75 (last birthday)
|
| 358 |
+
|
| 359 |
+
17 years (last birthday)
|
| 360 |
+
|
| 361 |
+
Howlongareeachinsuredunderthispolicy?
|
| 362 |
+
|
| 363 |
+
Each of the insured are covered for
|
| 364 |
+
|
| 365 |
+
risks up to age (80). Children are insured up
|
| 366 |
+
|
| 367 |
+
Health
|
| 368 |
+
|
| 369 |
+
toage25years.
|
| 370 |
+
|
| 371 |
+
•
|
| 372 |
+
|
| 373 |
+
Hospitalcashbenefit(HCB)
|
| 374 |
+
|
| 375 |
+
•
|
| 376 |
+
|
| 377 |
+
MajorSurgicalBenefit(MSB)
|
| 378 |
+
|
| 379 |
+
•
|
| 380 |
+
|
| 381 |
+
DayCareProcedureBenefit
|
| 382 |
+
|
| 383 |
+
•
|
| 384 |
+
|
| 385 |
+
OtherSurgicalBenefit
|
| 386 |
+
|
| 387 |
+
•
|
| 388 |
+
|
| 389 |
+
AmbulanceBenefit
|
| 390 |
+
|
| 391 |
+
•
|
| 392 |
+
|
| 393 |
+
PremiumwaiverBenefit(PWB)
|
| 394 |
+
|
| 395 |
+
A) HospitalCashBenefit:
|
| 396 |
+
|
| 397 |
+
due to
|
| 398 |
+
|
| 399 |
+
If you or any of the insured lives covered under the policy is hospitalised
|
| 400 |
+
|
| 401 |
+
Accidental Body Injury or Sickness and the stay in hospital exceeds a connuous
|
| 402 |
+
|
| 403 |
+
periodof24hours,thenforanyconnuousperiodof24hoursorpartthereof,
|
| 404 |
+
|
| 405 |
+
1. Benefits offered under the plan are'
|
| 406 |
+
- '(Premiums indicated are exclusive of Taxes)
|
| 407 |
+
|
| 408 |
+
Who can be insured?
|
| 409 |
+
|
| 410 |
+
You (as Principal Insured (PI)), your spouse, your children, your parents and
|
| 411 |
+
parents of
|
| 412 |
+
|
| 413 |
+
yourspousecanallbeinsured
|
| 414 |
+
|
| 415 |
+
onepolicy.Quiteareliefisn''tit,tohaveallinsured
|
| 416 |
+
|
| 417 |
+
under
|
| 418 |
+
|
| 419 |
+
underonepolicy!
|
| 420 |
+
|
| 421 |
+
Theminimumandmaximumageatentryisasunder:
|
| 422 |
+
|
| 423 |
+
PRINCIPAL INSURED (Male)
|
| 424 |
+
|
| 425 |
+
Age at entry
|
| 426 |
+
|
| 427 |
+
20
|
| 428 |
+
|
| 429 |
+
30
|
| 430 |
+
|
| 431 |
+
40
|
| 432 |
+
|
| 433 |
+
50
|
| 434 |
+
|
| 435 |
+
Premium ( )
|
| 436 |
+
|
| 437 |
+
`
|
| 438 |
+
|
| 439 |
+
1922.65
|
| 440 |
+
|
| 441 |
+
2242.90
|
| 442 |
+
|
| 443 |
+
2799.70
|
| 444 |
+
|
| 445 |
+
3768.00
|
| 446 |
+
|
| 447 |
+
SPOUSE (Female) / PARENT (of PI/Spouse) (Female)
|
| 448 |
+
|
| 449 |
+
Premium ( )
|
| 450 |
+
|
| 451 |
+
`
|
| 452 |
+
|
| 453 |
+
1393.15
|
| 454 |
+
|
| 455 |
+
1730.65
|
| 456 |
+
|
| 457 |
+
2240.60
|
| 458 |
+
|
| 459 |
+
2849.10
|
| 460 |
+
|
| 461 |
+
Age at entry
|
| 462 |
+
|
| 463 |
+
20
|
| 464 |
+
|
| 465 |
+
30
|
| 466 |
+
|
| 467 |
+
40
|
| 468 |
+
|
| 469 |
+
50
|
| 470 |
+
|
| 471 |
+
CHILD
|
| 472 |
+
|
| 473 |
+
Premium ( )
|
| 474 |
+
|
| 475 |
+
`
|
| 476 |
+
|
| 477 |
+
792.00
|
| 478 |
+
|
| 479 |
+
794.75
|
| 480 |
+
|
| 481 |
+
812.35
|
| 482 |
+
|
| 483 |
+
870.75
|
| 484 |
+
|
| 485 |
+
Age at entry
|
| 486 |
+
|
| 487 |
+
0
|
| 488 |
+
|
| 489 |
+
5
|
| 490 |
+
|
| 491 |
+
10
|
| 492 |
+
|
| 493 |
+
15
|
| 494 |
+
|
| 495 |
+
Self / spouse
|
| 496 |
+
|
| 497 |
+
Parents / parents-in-law
|
| 498 |
+
|
| 499 |
+
Children
|
| 500 |
+
|
| 501 |
+
Minimum age
|
| 502 |
+
|
| 503 |
+
at entry
|
| 504 |
+
|
| 505 |
+
18 years
|
| 506 |
+
|
| 507 |
+
18 years
|
| 508 |
+
|
| 509 |
+
91 days
|
| 510 |
+
|
| 511 |
+
Maximum age
|
| 512 |
+
|
| 513 |
+
at entry
|
| 514 |
+
|
| 515 |
+
65 years (last birthday)
|
| 516 |
+
|
| 517 |
+
75 (last birthday)'
|
| 518 |
+
- source_sentence: How is the Initial Daily Benefit (the Applicable Daily Benefit
|
| 519 |
+
for the first policy year) determined and stated in the policy schedule?
|
| 520 |
sentences:
|
| 521 |
+
- 'Periodwithoutanymaximumlimit.
|
| 522 |
+
|
| 523 |
+
For members
|
| 524 |
+
|
| 525 |
+
subsequently under the policy, the benefit in the first year
|
| 526 |
+
|
| 527 |
+
included
|
| 528 |
+
|
| 529 |
+
shall be equal to Inial Daily Benefit amount and thereaer the Applicable Daily
|
| 530 |
+
|
| 531 |
+
Benefitshallincreaseasabove.
|
| 532 |
+
|
| 533 |
+
IfanyofthememberinsuredisrequiredtostayinanIntensiveCareUnitofahospital,
|
| 534 |
+
|
| 535 |
+
t
|
| 536 |
+
|
| 537 |
+
subject
|
| 538 |
+
|
| 539 |
+
benefit limits and
|
| 540 |
+
|
| 541 |
+
wo mes the
|
| 542 |
+
|
| 543 |
+
Daily
|
| 544 |
+
|
| 545 |
+
will be payable
|
| 546 |
+
|
| 547 |
+
to
|
| 548 |
+
|
| 549 |
+
Applicable
|
| 550 |
+
|
| 551 |
+
Benefit
|
| 552 |
+
|
| 553 |
+
condionsmenonedinPara11A)andexclusionsmenonedinPara15below.
|
| 554 |
+
|
| 555 |
+
During one period of 24 connuous hours (i.e. one day) of Hospitalisaon (aer
|
| 556 |
+
|
| 557 |
+
having completed the 24 hours as above), if the said Hospitalisaon included stay
|
| 558 |
+
|
| 559 |
+
inanIntensiveCareUnitaswellasinanyotherin-paent(non-IntensiveCareUnit)'
|
| 560 |
+
- 'emergenciessha eryourpeaceofmind.
|
| 561 |
+
|
| 562 |
+
LIC''sJeevanArogyagivesyou:
|
| 563 |
+
|
| 564 |
+
•
|
| 565 |
+
|
| 566 |
+
Valuablefinancialproteconincaseofhospitalisaon,surgeryetc
|
| 567 |
+
|
| 568 |
+
•
|
| 569 |
+
|
| 570 |
+
IncreasingHealthcovereveryyear
|
| 571 |
+
|
| 572 |
+
•
|
| 573 |
+
|
| 574 |
+
Lumpsumbenefitirrespecveofactualmedicalcosts
|
| 575 |
+
|
| 576 |
+
•
|
| 577 |
+
|
| 578 |
+
Noclaimbenefit
|
| 579 |
+
|
| 580 |
+
•
|
| 581 |
+
|
| 582 |
+
Flexiblebenefitlimittochoosefrom
|
| 583 |
+
|
| 584 |
+
•
|
| 585 |
+
|
| 586 |
+
Flexiblepremiumpaymentopons
|
| 587 |
+
|
| 588 |
+
•
|
| 589 |
+
|
| 590 |
+
Veryeasytochooseyourplan
|
| 591 |
+
|
| 592 |
+
Step 1
|
| 593 |
+
|
| 594 |
+
2
|
| 595 |
+
|
| 596 |
+
Step
|
| 597 |
+
|
| 598 |
+
Choose the level of Health cover you need
|
| 599 |
+
|
| 600 |
+
Work out the premium payable along with our Representave
|
| 601 |
+
|
| 602 |
+
Step 1: Choose the level of Health cover you need:
|
| 603 |
+
|
| 604 |
+
You can choose the amount of Inial Daily Benefit (i.e. the daily Hospital Cash
|
| 605 |
+
Benefit
|
| 606 |
+
|
| 607 |
+
applicableinthefirstyearofthepolicy)asperyourneedfromoutofthefollowingchoices:
|
| 608 |
+
|
| 609 |
+
` 1000 per day
|
| 610 |
+
|
| 611 |
+
` 2000 per day
|
| 612 |
+
|
| 613 |
+
` 3000 per day
|
| 614 |
+
|
| 615 |
+
` 4000 per day'
|
| 616 |
+
- 'provided any such part
|
| 617 |
+
|
| 618 |
+
exceeds a connuous period of 4 hours (aer having
|
| 619 |
+
|
| 620 |
+
stay
|
| 621 |
+
|
| 622 |
+
completed the 24 hours as above) in a non-ICU ward/room of a hospital, an
|
| 623 |
+
|
| 624 |
+
amount equal to the Applicable Daily Benefit (ADB) available under the policy
|
| 625 |
+
|
| 626 |
+
during that policy year shall be payable subject to benefit limits and condions
|
| 627 |
+
|
| 628 |
+
menonedinPara11A)andexclusionsmenonedinPara15below.
|
| 629 |
+
|
| 630 |
+
During the first
|
| 631 |
+
|
| 632 |
+
of cover commencement in respect of each insured, the
|
| 633 |
+
|
| 634 |
+
year
|
| 635 |
+
|
| 636 |
+
ApplicableDailyBenefitshallbetheInialDailyBenefitamountchosenbyyouand
|
| 637 |
+
|
| 638 |
+
menonedinthepolicySchedule.
|
| 639 |
+
|
| 640 |
+
Theamountof DBforeachpolicyyear,aerthefirstpolicyyear,shallconsistof2parts:
|
| 641 |
+
|
| 642 |
+
A
|
| 643 |
+
|
| 644 |
+
|
| 645 |
+
An arithmec addion of an amount equal to 5% (five percent) of the Inial Daily'
|
| 646 |
pipeline_tag: sentence-similarity
|
| 647 |
library_name: sentence-transformers
|
| 648 |
metrics:
|
|
|
|
| 672 |
type: unknown
|
| 673 |
metrics:
|
| 674 |
- type: cosine_accuracy@1
|
| 675 |
+
value: 0.5454545454545454
|
| 676 |
name: Cosine Accuracy@1
|
| 677 |
- type: cosine_accuracy@3
|
| 678 |
+
value: 0.7727272727272727
|
| 679 |
name: Cosine Accuracy@3
|
| 680 |
- type: cosine_accuracy@5
|
| 681 |
+
value: 0.9090909090909091
|
| 682 |
name: Cosine Accuracy@5
|
| 683 |
- type: cosine_accuracy@10
|
| 684 |
+
value: 1.0
|
| 685 |
name: Cosine Accuracy@10
|
| 686 |
- type: cosine_precision@1
|
| 687 |
+
value: 0.5454545454545454
|
| 688 |
name: Cosine Precision@1
|
| 689 |
- type: cosine_precision@3
|
| 690 |
+
value: 0.2575757575757575
|
| 691 |
name: Cosine Precision@3
|
| 692 |
- type: cosine_precision@5
|
| 693 |
+
value: 0.18181818181818185
|
| 694 |
name: Cosine Precision@5
|
| 695 |
- type: cosine_precision@10
|
| 696 |
+
value: 0.10000000000000003
|
| 697 |
name: Cosine Precision@10
|
| 698 |
- type: cosine_recall@1
|
| 699 |
+
value: 0.5454545454545454
|
| 700 |
name: Cosine Recall@1
|
| 701 |
- type: cosine_recall@3
|
| 702 |
+
value: 0.7727272727272727
|
| 703 |
name: Cosine Recall@3
|
| 704 |
- type: cosine_recall@5
|
| 705 |
+
value: 0.9090909090909091
|
| 706 |
name: Cosine Recall@5
|
| 707 |
- type: cosine_recall@10
|
| 708 |
+
value: 1.0
|
| 709 |
name: Cosine Recall@10
|
| 710 |
- type: cosine_ndcg@10
|
| 711 |
+
value: 0.773062927015556
|
| 712 |
name: Cosine Ndcg@10
|
| 713 |
- type: cosine_mrr@10
|
| 714 |
+
value: 0.7011363636363636
|
| 715 |
name: Cosine Mrr@10
|
| 716 |
- type: cosine_map@100
|
| 717 |
+
value: 0.7011363636363636
|
| 718 |
name: Cosine Map@100
|
| 719 |
---
|
| 720 |
|
|
|
|
| 767 |
model = SentenceTransformer("sentence_transformers_model_id")
|
| 768 |
# Run inference
|
| 769 |
sentences = [
|
| 770 |
+
'How is the Initial Daily Benefit (the Applicable Daily Benefit for the first policy year) determined and stated in the policy schedule?',
|
| 771 |
+
'provided any such part\nexceeds a connuous period of 4 hours (aer having\nstay\ncompleted the 24 hours as above) in a non-ICU ward/room of a hospital, an\namount equal to the Applicable Daily Benefit (ADB) available under the policy\nduring that policy year shall be payable subject to benefit limits and condions\nmenonedinPara11A)andexclusionsmenonedinPara15below.\nDuring the first\nof cover commencement in respect of each insured, the\nyear\nApplicableDailyBenefitshallbetheInialDailyBenefitamountchosenbyyouand\nmenonedinthepolicySchedule.\nTheamountof DBforeachpolicyyear,aerthefirstpolicyyear,shallconsistof2parts:\nA\n\nAn arithmec addion of an amount equal to 5% (five percent) of the Inial Daily',
|
| 772 |
+
'Periodwithoutanymaximumlimit.\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\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)',
|
| 773 |
]
|
| 774 |
embeddings = model.encode(sentences)
|
| 775 |
print(embeddings.shape)
|
|
|
|
| 778 |
# Get the similarity scores for the embeddings
|
| 779 |
similarities = model.similarity(embeddings, embeddings)
|
| 780 |
print(similarities)
|
| 781 |
+
# tensor([[1.0000, 0.6203, 0.6283],
|
| 782 |
+
# [0.6203, 1.0000, 0.8679],
|
| 783 |
+
# [0.6283, 0.8679, 1.0000]])
|
| 784 |
```
|
| 785 |
<!--
|
| 786 |
### Direct Usage (Transformers)
|
|
|
|
| 816 |
|
| 817 |
| Metric | Value |
|
| 818 |
|:--------------------|:-----------|
|
| 819 |
+
| cosine_accuracy@1 | 0.5455 |
|
| 820 |
+
| cosine_accuracy@3 | 0.7727 |
|
| 821 |
+
| cosine_accuracy@5 | 0.9091 |
|
| 822 |
+
| cosine_accuracy@10 | 1.0 |
|
| 823 |
+
| cosine_precision@1 | 0.5455 |
|
| 824 |
+
| cosine_precision@3 | 0.2576 |
|
| 825 |
+
| cosine_precision@5 | 0.1818 |
|
| 826 |
+
| cosine_precision@10 | 0.1 |
|
| 827 |
+
| cosine_recall@1 | 0.5455 |
|
| 828 |
+
| cosine_recall@3 | 0.7727 |
|
| 829 |
+
| cosine_recall@5 | 0.9091 |
|
| 830 |
+
| cosine_recall@10 | 1.0 |
|
| 831 |
+
| **cosine_ndcg@10** | **0.7731** |
|
| 832 |
+
| cosine_mrr@10 | 0.7011 |
|
| 833 |
+
| cosine_map@100 | 0.7011 |
|
| 834 |
|
| 835 |
<!--
|
| 836 |
## Bias, Risks and Limitations
|
|
|
|
| 850 |
|
| 851 |
#### Unnamed Dataset
|
| 852 |
|
| 853 |
+
* Size: 20 training samples
|
| 854 |
* Columns: <code>sentence_0</code> and <code>sentence_1</code>
|
| 855 |
+
* Approximate statistics based on the first 20 samples:
|
| 856 |
+
| | sentence_0 | sentence_1 |
|
| 857 |
+
|:--------|:-----------------------------------------------------------------------------------|:------------------------------------------------------------------------------------|
|
| 858 |
+
| type | string | string |
|
| 859 |
+
| details | <ul><li>min: 19 tokens</li><li>mean: 29.65 tokens</li><li>max: 56 tokens</li></ul> | <ul><li>min: 44 tokens</li><li>mean: 173.0 tokens</li><li>max: 226 tokens</li></ul> |
|
| 860 |
* Samples:
|
| 861 |
+
| sentence_0 | sentence_1 |
|
| 862 |
+
|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
|
| 863 |
+
| <code>Which specific benefits (e.g., Hospital Cash Benefit, Major Surgical Benefit, Day Care Procedure Benefit, etc.) are available to the insured if they are hospitalized for a continuous period of 24 hours or more?</code> | <code>65 years (last birthday)<br>75 (last birthday)<br>17 years (last birthday)<br>Howlongareeachinsuredunderthispolicy?<br>Each of the insured are covered for<br>risks up to age (80). Children are insured up<br>Health<br>toage25years.<br>•<br>Hospitalcashbenefit(HCB)<br>•<br>MajorSurgicalBenefit(MSB)<br>•<br>DayCareProcedureBenefit<br>•<br>OtherSurgicalBenefit<br>•<br>AmbulanceBenefit<br>•<br>PremiumwaiverBenefit(PWB)<br>A) HospitalCashBenefit:<br>due to<br>If you or any of the insured lives covered under the policy is hospitalised<br>Accidental Body Injury or Sickness and the stay in hospital exceeds a connuous<br>periodof24hours,thenforanyconnuousperiodof24hoursorpartthereof,<br>1. Benefits offered under the plan are</code> |
|
| 864 |
+
| <code>What are the four daily Hospital Cash Benefit options available when choosing the initial Daily Benefit for the LIC Jeevan Arogya policy?</code> | <code>emergenciessha eryourpeaceofmind.<br>LIC'sJeevanArogyagivesyou:<br>•<br>Valuablefinancialproteconincaseofhospitalisaon,surgeryetc<br>•<br>IncreasingHealthcovereveryyear<br>•<br>Lumpsumbenefitirrespecveofactualmedicalcosts<br>•<br>Noclaimbenefit<br>•<br>Flexiblebenefitlimittochoosefrom<br>•<br>Flexiblepremiumpaymentopons<br>•<br>Veryeasytochooseyourplan<br>Step 1<br>2<br>Step<br>Choose the level of Health cover you need<br>Work out the premium payable along with our Representave<br>Step 1: Choose the level of Health cover you need:<br>You can choose the amount of Inial Daily Benefit (i.e. the daily Hospital Cash Benefit<br>applicableinthefirstyearofthepolicy)asperyourneedfromoutofthefollowingchoices:<br>` 1000 per day<br>` 2000 per day<br>` 3000 per day<br>` 4000 per day</code> |
|
| 865 |
+
| <code>If a policyholder selects a daily Hospital Cash Benefit of 3000 per day, what will be the Initial Major Surgical Benefit sum assured?</code> | <code>` 2000 per day<br>` 3000 per day<br>` 4000 per day<br>This is the amount that will be payable to you in the event of hospitalisaon in the first<br>year on a per day basis. The Major Surgical Benefit that you will be covered for will be<br>100 mes the Inial Daily Benefit you have chosen. Thus the inial Major Surgical<br>Benefit Sum Assured will be<br>1 lakh, 2 lakh, 3 lakh, 4 lakh respecvely. Other benefits<br>`<br>such as Day Care Procedure Benefit, Other Surgical Benefit and Premium waiver<br>Benefit (PWB) menoned below shall also be payable depending upon the daily<br>HospitalCashBenefitchosen.<br>Step 2: Work out the premium payable along with our representave<br>Your premium will depend on your age, gender, the Health cover opon you have</code> |
|
| 866 |
* Loss: [<code>MatryoshkaLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#matryoshkaloss) with these parameters:
|
| 867 |
```json
|
| 868 |
{
|
|
|
|
| 998 |
### Training Logs
|
| 999 |
| Epoch | Step | cosine_ndcg@10 |
|
| 1000 |
|:-----:|:----:|:--------------:|
|
| 1001 |
+
| 1.0 | 2 | 0.7731 |
|
| 1002 |
|
| 1003 |
|
| 1004 |
### Training Time
|
| 1005 |
+
- **Training**: 1.8 minutes
|
| 1006 |
|
| 1007 |
### Framework Versions
|
| 1008 |
- Python: 3.12.13
|
eval/Information-Retrieval_evaluation_results.csv
CHANGED
|
@@ -9,3 +9,8 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
|
|
| 9 |
3.0,3,0.7156862745098039,0.8529411764705882,0.9411764705882353,0.9803921568627451,0.7156862745098039,0.7156862745098039,0.284313725490196,0.8529411764705882,0.18823529411764703,0.9411764705882353,0.09803921568627448,0.9803921568627451,0.8014939309056954,0.8450160978479012,0.8023449657640833
|
| 10 |
4.0,4,0.7156862745098039,0.8529411764705882,0.9411764705882353,0.9803921568627451,0.7156862745098039,0.7156862745098039,0.284313725490196,0.8529411764705882,0.18823529411764703,0.9411764705882353,0.09803921568627448,0.9803921568627451,0.8019841269841269,0.8454457424639684,0.8028351618425147
|
| 11 |
5.0,5,0.7156862745098039,0.8529411764705882,0.9411764705882353,0.9803921568627451,0.7156862745098039,0.7156862745098039,0.284313725490196,0.8529411764705882,0.18823529411764703,0.9411764705882353,0.09803921568627448,0.9803921568627451,0.8019841269841269,0.8454457424639684,0.8028351618425147
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 9 |
3.0,3,0.7156862745098039,0.8529411764705882,0.9411764705882353,0.9803921568627451,0.7156862745098039,0.7156862745098039,0.284313725490196,0.8529411764705882,0.18823529411764703,0.9411764705882353,0.09803921568627448,0.9803921568627451,0.8014939309056954,0.8450160978479012,0.8023449657640833
|
| 10 |
4.0,4,0.7156862745098039,0.8529411764705882,0.9411764705882353,0.9803921568627451,0.7156862745098039,0.7156862745098039,0.284313725490196,0.8529411764705882,0.18823529411764703,0.9411764705882353,0.09803921568627448,0.9803921568627451,0.8019841269841269,0.8454457424639684,0.8028351618425147
|
| 11 |
5.0,5,0.7156862745098039,0.8529411764705882,0.9411764705882353,0.9803921568627451,0.7156862745098039,0.7156862745098039,0.284313725490196,0.8529411764705882,0.18823529411764703,0.9411764705882353,0.09803921568627448,0.9803921568627451,0.8019841269841269,0.8454457424639684,0.8028351618425147
|
| 12 |
+
1.0,2,0.5454545454545454,0.7727272727272727,0.9090909090909091,1.0,0.5454545454545454,0.5454545454545454,0.2575757575757575,0.7727272727272727,0.18181818181818185,0.9090909090909091,0.10000000000000003,1.0,0.7011363636363636,0.773062927015556,0.7011363636363636
|
| 13 |
+
2.0,4,0.5454545454545454,0.7727272727272727,0.9090909090909091,1.0,0.5454545454545454,0.5454545454545454,0.2575757575757575,0.7727272727272727,0.18181818181818185,0.9090909090909091,0.10000000000000003,1.0,0.7011363636363636,0.773062927015556,0.7011363636363636
|
| 14 |
+
3.0,6,0.5454545454545454,0.7727272727272727,0.9090909090909091,1.0,0.5454545454545454,0.5454545454545454,0.2575757575757575,0.7727272727272727,0.18181818181818185,0.9090909090909091,0.10000000000000003,1.0,0.7011363636363636,0.773062927015556,0.7011363636363636
|
| 15 |
+
4.0,8,0.5454545454545454,0.7727272727272727,0.9090909090909091,1.0,0.5454545454545454,0.5454545454545454,0.2575757575757575,0.7727272727272727,0.18181818181818185,0.9090909090909091,0.10000000000000003,1.0,0.7011363636363636,0.773062927015556,0.7011363636363636
|
| 16 |
+
5.0,10,0.5454545454545454,0.7727272727272727,0.9090909090909091,1.0,0.5454545454545454,0.5454545454545454,0.2575757575757575,0.7727272727272727,0.18181818181818185,0.9090909090909091,0.10000000000000003,1.0,0.7011363636363636,0.773062927015556,0.7011363636363636
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 546938168
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1a83d8b8b66b12bcaccf4ffee5bed687ea9364c86d8a5cec645f96bb59e1d154
|
| 3 |
size 546938168
|