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metadata
tags:
  - sentence-transformers
  - sentence-similarity
  - feature-extraction
  - generated_from_trainer
  - dataset_size:20
  - loss:MatryoshkaLoss
  - loss:MultipleNegativesRankingLoss
base_model: nomic-ai/nomic-embed-text-v1.5
widget:
  - source_sentence: >-
      How can I contact my LIC agent or nearest branch according to the provided
      instructions?
    sentences:
      - |-
        Contact your LIC agent or nearest branch or
        visit our website
        or
        www.licindia.in
        SMS
        to
        , (e.g. Mumbai.’)
        ‘YOUR CITY NAME’
        566773
      - >-
        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.
      - |-
        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: >-
      How does the premium for a spouse (female) change as the age at entry
      increases from 20 to 50 years?
    sentences:
      - >-
        Benefit to the Applicable Daily Benefit of the previous Policy Year. Such
        increase in

        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
      - >-
        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:
      - >-
        (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)
  - source_sentence: >-
      Which additional benefits are stated to be payable depending on the chosen
      daily Hospital Cash Benefit?
    sentences:
      - >-
        ` 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 (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:
      - >-
        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

        

        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
  - source_sentence: >-
      If a policyholder selects a daily Hospital Cash Benefit of 3000 per day,
      what will be the Initial Major Surgical Benefit sum assured?
    sentences:
      - >-
        ` 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 (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
      - >-
        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

        

        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)
  - source_sentence: >-
      How is the Initial Daily Benefit (the Applicable Daily Benefit for the
      first policy year) determined and stated in the policy schedule?
    sentences:
      - >-
        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

        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)
      - >-
        emergenciessha eryourpeaceofmind.

        LIC'sJeevanArogyagivesyou:

        

        Valuablefinancialproteconincaseofhospitalisaon,surgeryetc

        

        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
      - >-
        provided any such part

        exceeds a connuous period of 4 hours (aer having

        stay

        completed the 24 hours as above) in a non-ICU ward/room of a hospital,
        an

        amount equal to the Applicable Daily Benefit (ADB) available under the
        policy

        during that policy year shall be payable subject to benefit limits and
        condions

        menonedinPara11A)andexclusionsmenonedinPara15below.

        During the first

        of cover commencement in respect of each insured, the

        year

        ApplicableDailyBenefitshallbetheInialDailyBenefitamountchosenbyyouand

        menonedinthepolicySchedule.

        Theamountof
        DBforeachpolicyyear,aerthefirstpolicyyear,shallconsistof2parts:

        A


        An arithmec addion of an amount equal to 5% (five percent) of the Inial
        Daily
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 nomic-ai/nomic-embed-text-v1.5
    results:
      - task:
          type: information-retrieval
          name: Information Retrieval
        dataset:
          name: Unknown
          type: unknown
        metrics:
          - type: cosine_accuracy@1
            value: 0.5454545454545454
            name: Cosine Accuracy@1
          - type: cosine_accuracy@3
            value: 0.7727272727272727
            name: Cosine Accuracy@3
          - type: cosine_accuracy@5
            value: 0.9090909090909091
            name: Cosine Accuracy@5
          - type: cosine_accuracy@10
            value: 1
            name: Cosine Accuracy@10
          - type: cosine_precision@1
            value: 0.5454545454545454
            name: Cosine Precision@1
          - type: cosine_precision@3
            value: 0.2575757575757575
            name: Cosine Precision@3
          - type: cosine_precision@5
            value: 0.18181818181818185
            name: Cosine Precision@5
          - type: cosine_precision@10
            value: 0.10000000000000003
            name: Cosine Precision@10
          - type: cosine_recall@1
            value: 0.5454545454545454
            name: Cosine Recall@1
          - type: cosine_recall@3
            value: 0.7727272727272727
            name: Cosine Recall@3
          - type: cosine_recall@5
            value: 0.9090909090909091
            name: Cosine Recall@5
          - type: cosine_recall@10
            value: 1
            name: Cosine Recall@10
          - type: cosine_ndcg@10
            value: 0.773062927015556
            name: Cosine Ndcg@10
          - type: cosine_mrr@10
            value: 0.7011363636363636
            name: Cosine Mrr@10
          - type: cosine_map@100
            value: 0.7011363636363636
            name: Cosine Map@100

SentenceTransformer based on nomic-ai/nomic-embed-text-v1.5

This is a sentence-transformers model finetuned from nomic-ai/nomic-embed-text-v1.5. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for retrieval.

Model Details

Model Description

  • Model Type: Sentence Transformer
  • Base model: nomic-ai/nomic-embed-text-v1.5
  • Maximum Sequence Length: 8192 tokens
  • Output Dimensionality: 768 dimensions
  • Similarity Function: Cosine Similarity
  • Supported Modality: Text

Model Sources

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': 'NomicBertModel'})
  (1): Pooling({'embedding_dimension': 768, 'pooling_mode': 'mean', 'include_prompt': True})
)

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 = [
    'How is the Initial Daily Benefit (the Applicable Daily Benefit for the first policy year) determined and stated in the policy schedule?',
    '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',
    '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)',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities)
# tensor([[1.0000, 0.6203, 0.6283],
#         [0.6203, 1.0000, 0.8679],
#         [0.6283, 0.8679, 1.0000]])

Evaluation

Metrics

Information Retrieval

Metric Value
cosine_accuracy@1 0.5455
cosine_accuracy@3 0.7727
cosine_accuracy@5 0.9091
cosine_accuracy@10 1.0
cosine_precision@1 0.5455
cosine_precision@3 0.2576
cosine_precision@5 0.1818
cosine_precision@10 0.1
cosine_recall@1 0.5455
cosine_recall@3 0.7727
cosine_recall@5 0.9091
cosine_recall@10 1.0
cosine_ndcg@10 0.7731
cosine_mrr@10 0.7011
cosine_map@100 0.7011

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
    • min: 19 tokens
    • mean: 29.65 tokens
    • max: 56 tokens
    • min: 44 tokens
    • mean: 173.0 tokens
    • max: 226 tokens
  • Samples:
    sentence_0 sentence_1
    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? 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

    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
    What are the four daily Hospital Cash Benefit options available when choosing the initial Daily Benefit for the LIC Jeevan Arogya policy? emergenciessha eryourpeaceofmind.
    LIC'sJeevanArogyagivesyou:

    Valuablefinancialproteconincaseofhospitalisaon,surgeryetc

    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 day
    3000 per day<br> 4000 per day
    If a policyholder selects a daily Hospital Cash Benefit of 3000 per day, what will be the Initial Major Surgical Benefit sum assured? 2000 per day<br> 3000 per day
    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>
    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
  • Loss: MatryoshkaLoss with these parameters:
    {
        "loss": "MultipleNegativesRankingLoss",
        "matryoshka_dims": [
            768,
            512,
            256,
            128,
            64
        ],
        "matryoshka_weights": [
            1,
            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 0.7731

Training Time

  • Training: 1.8 minutes

Framework Versions

  • Python: 3.12.13
  • Sentence Transformers: 5.4.1
  • Transformers: 5.0.0
  • PyTorch: 2.10.0+cpu
  • 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},
}