--- 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](https://www.SBERT.net) model finetuned from [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/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](https://huggingface.co/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](https://sbert.net) - **Repository:** [Sentence Transformers on GitHub](https://github.com/huggingface/sentence-transformers) - **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers) ### 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: ```bash pip install -U sentence-transformers ``` Then you can load this model and run inference. ```python 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](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.sentence_transformer.evaluation.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_0 and sentence_1 * Approximate statistics based on the first 20 samples: | | sentence_0 | sentence_1 | |:--------|:----------------------------------------------------------------------------------|:------------------------------------------------------------------------------------| | type | string | string | | details | | | * 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
` 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 | | 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. | 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: [MatryoshkaLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#matryoshkaloss) with these parameters: ```json { "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`: 10 - `per_device_eval_batch_size`: 10 - `num_train_epochs`: 5 - `multi_dataset_batch_sampler`: round_robin #### All Hyperparameters
Click to expand - `do_predict`: False - `prediction_loss_only`: True - `per_device_train_batch_size`: 10 - `per_device_eval_batch_size`: 10 - `gradient_accumulation_steps`: 1 - `eval_accumulation_steps`: None - `torch_empty_cache_steps`: None - `learning_rate`: 5e-05 - `weight_decay`: 0.0 - `adam_beta1`: 0.9 - `adam_beta2`: 0.999 - `adam_epsilon`: 1e-08 - `max_grad_norm`: 1 - `num_train_epochs`: 5 - `max_steps`: -1 - `lr_scheduler_type`: linear - `lr_scheduler_kwargs`: None - `warmup_ratio`: None - `warmup_steps`: 0 - `log_level`: passive - `log_level_replica`: warning - `log_on_each_node`: True - `logging_nan_inf_filter`: True - `enable_jit_checkpoint`: False - `save_on_each_node`: False - `save_only_model`: False - `restore_callback_states_from_checkpoint`: False - `use_cpu`: False - `seed`: 42 - `data_seed`: None - `bf16`: False - `fp16`: False - `bf16_full_eval`: False - `fp16_full_eval`: False - `tf32`: None - `local_rank`: -1 - `ddp_backend`: None - `debug`: [] - `dataloader_drop_last`: False - `dataloader_num_workers`: 0 - `dataloader_prefetch_factor`: None - `disable_tqdm`: False - `remove_unused_columns`: True - `label_names`: None - `load_best_model_at_end`: False - `ignore_data_skip`: False - `fsdp`: [] - `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`: None - `deepspeed`: None - `label_smoothing_factor`: 0.0 - `optim`: adamw_torch_fused - `optim_args`: None - `group_by_length`: False - `length_column_name`: length - `project`: huggingface - `trackio_space_id`: trackio - `ddp_find_unused_parameters`: None - `ddp_bucket_cap_mb`: None - `ddp_broadcast_buffers`: False - `dataloader_pin_memory`: True - `dataloader_persistent_workers`: False - `skip_memory_metrics`: True - `push_to_hub`: False - `resume_from_checkpoint`: None - `hub_model_id`: None - `hub_strategy`: every_save - `hub_private_repo`: None - `hub_always_push`: False - `hub_revision`: None - `gradient_checkpointing`: False - `gradient_checkpointing_kwargs`: None - `include_for_metrics`: [] - `eval_do_concat_batches`: True - `auto_find_batch_size`: False - `full_determinism`: False - `ddp_timeout`: 1800 - `torch_compile`: False - `torch_compile_backend`: None - `torch_compile_mode`: None - `include_num_input_tokens_seen`: no - `neftune_noise_alpha`: None - `optim_target_modules`: None - `batch_eval_metrics`: False - `eval_on_start`: False - `use_liger_kernel`: False - `liger_kernel_config`: None - `eval_use_gather_object`: False - `average_tokens_across_devices`: True - `use_cache`: False - `prompts`: None - `batch_sampler`: batch_sampler - `multi_dataset_batch_sampler`: round_robin - `router_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 ```bibtex @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 ```bibtex @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 ```bibtex @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}, } ```