metadata

base_model: sentence-transformers/msmarco-distilbert-base-v2
datasets: []
language: []
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
  - dot_accuracy@1
  - dot_accuracy@3
  - dot_accuracy@5
  - dot_accuracy@10
  - dot_precision@1
  - dot_precision@3
  - dot_precision@5
  - dot_precision@10
  - dot_recall@1
  - dot_recall@3
  - dot_recall@5
  - dot_recall@10
  - dot_ndcg@10
  - dot_mrr@10
  - dot_map@100
pipeline_tag: sentence-similarity
tags:
  - sentence-transformers
  - sentence-similarity
  - feature-extraction
  - generated_from_trainer
  - dataset_size:88018
  - loss:TripletLoss
widget:
  - source_sentence: >-
      How should SpinRecords.com notify NETTAXI of a potential indemnifiable
      claim?
    sentences:
      - >-
        4. The Company shall have no obligations to Verenium with respect to the
        use of such information, or disclosure to others not party to this
        Agreement, of such information which:  (d) is rightfully and in good
        faith developed by Company independently of any disclosures made under
        this Agreement, as evidenced by Company’s competent written records;
        or  
      - >-
        13. Changes To This Privacy Policy We may update this Privacy Policy to
        reflect changes to our information practices. If we make any material
        changes we will notify you by email (sent to the e-mail address
        specified in your account) or by means of a notice on the Services prior
        to the change becoming effective. We encourage you to periodically
        review this page for the latest information on our privacy practices.
      - >-
        7.2     Indemnification  by  NETTAXI.  NETTAXI  shall defend, indemnify
        and              ---------------------------- hold  SpinRecords.com 
        harmless from any and all damages, liabilities, costs and expenses 
        (including, but not limited to reasonable attorneys' fees) incurred by
        SpinRecords.com  as a result of (1) any breach of this Agreement; (ii)
        any claim that  the  NETTAXI  Brand  Features  or  any  part  thereof, 
        infringes  or misappropriates  any  Intellectual Property Right of a
        third party; or (iii) any claim  arising  out  of  Spinrecords.com's
        display of the NETTAXI Brand Features SpinRecords.com  shall  provide 
        NETTAXI  with  written  notice of the claim and permit  NETTAXI  to
        control the defense, settlement, adjustment or compromise of any such
        claim.  SpinRecords.com may employ counsel at its own expense to assist
        it  with  respect  to any such claim; provided, however, that if such
        counsel is necessary  because of a conflict of interest of either
        NETTAXI or its counsel or because  NETTAXI  does not assume control,
        NETTAXI will bear the expense of such counsel.
  - source_sentence: What types of advertisements does Crazy Labs accept within their apps?
    sentences:
      - >-
        Each party each agrees that it will not knowingly do anything
        inconsistent with the other party's ownership of such party's
        intellectual property, including without limitation, questioning the
        validity of that party's Trademarks or registering or attempting to
        register the other party's Trademarks in its own name or that of any
        other firm, person or corporation.
      - >-
        11. Advertisements We accept advertisements, in various formats (such as
        banners, interstitials, rewarded videos, etc.) from third parties ad
        networks which may be displayed in our Crazy Labs Apps. These third
        parties ad networks may collect and use, inter alia (i) information
        about your visits to Crazy Labs Apps in connection with such marketing,
        sales and advertising activities; and (ii) geographic tracking and
        carrier network preferences. (iii) information, such as age, gender and
        logged from device to ensure that appropriate advertising is presented
        within the App and calculate or control the number of views of an ad,
        and/or deliver advertisements relating to User's interests, and measure
        the effectiveness of advertisements campaigns. The delivery of
        advertisements to you may be based on IP address, device identifiers and
        other Personal Information gathered during your use of the Crazy Labs
        Apps. Note that third parties ad networks which are referred to in
        relation to the Crazy Labs Apps may include third parties service
        providers, such as Facebook and other ad networks, in addition to those
        which are listed in the following link:
        https://www.tabtale.com/3rdparties/. Note that if you click on any of
        these advertisements, the advertisers may use cookies and other
        web-tracking technologies (such as tracking pixel agent or visitor
        identification technology, etc.) on your device to collect data
        regarding advertisement performance, your interaction with such
        advertisements and our Crazy Labs Apps and your interests (which may
        include, non-personal and/or personal information (such as, device and
        network information, unique identifiers, gender, age and geo-location)
        about you) in order to serve you advertisements, including targeted
        advertisements, and for the legitimate business interests of such Third
        Parties ad networks. We recommend that you review the terms of use and
        privacy policy of any third party advertisers with whom you are
        interacting before doing so. Their privacy policy, not ours, will apply
        to any of those interactions.
      - >-
        We want our advertising to be as relevant and interesting as the other
        information you find on our Services. With this in mind, we use all of
        the information we have about you to show you relevant ads. We do not
        share information that personally identifies you (personally
        identifiable information is information like name or email address that
        can by itself be used to contact you or identifies who you are) with
        advertising, measurement or analytics partners unless you give us
        permission. We may provide these partners with information about the
        reach and effectiveness of their advertising without providing
        information that personally identifies you, or if we have aggregated the
        information so that it does not personally identify you. For example, we
        may tell an advertiser how its ads performed, or how many people viewed
        their ads or installed an app after seeing an ad, or provide
        non-personally identifying demographic information (such as 25 year old
        female, in Madrid, who likes software engineering) to these partners to
        help them understand their audience or customers, but only after the
        advertiser has agreed to abide by our advertiser guidelines.
  - source_sentence: >-
      9.2     Nature of the Association. The parties herein are engaged as
      independent entities in accordance with this Agreement, and there exists
      no intention to forge any alternate form of association, such as a
      partnership, franchise, joint venture, agency, employer/employee
      relationship, fiduciary connection, or any other specific relationship.
      Each party is precluded from conducting themselves in any way that might
      suggest or insinuate any association different from that of an independent
      entity, nor shall either party possess the authority to obligate or commit
      the other party in any manner.
    sentences:
      - >-
        The parties hereby grant to each other non-exclusive, fully-paid,
        royalty-free licenses to utilize the other party's trademarks, as
        follows: (a) Biocept Trademarks. To facilitate the promotion and
        performance of Tests, during the Term Biocept hereby grants Life
        Technologies a non-exclusive, royalty-free, non-transferable license to
        use the Biocept Trademarks solely for<omitted>use in connection with the
        promotion and performance of the Tests in the Territory.
      - >-
        This Agreement may not be assigned or otherwise transferred, nor may any
        right or obligations hereunder be assigned or transferred, by either
        Party without the prior written consent of the other Party; provided,
        however, that Licensor may, without such consent, assign this Agreement
        and its rights and obligations hereunder, in whole or in part, to an
        Affiliate or in connection with the transfer or sale of all or
        substantially all of its assets related to the Licensed Product or the
        business relating thereto, or in the event of its merger or
        consolidation or change in control or similar transaction.
      - >-
        9.2     Relationship  of  Parties.  The parties are independent
        contractors              ------------------------- under  this 
        Agreement  and  no  other  relationship  is  intended,  including a
        partnership,  franchise,  joint  venture,  agency, employer/employee,
        fiduciary, master/servant  relationship, or other special relationship.
        Neither party shall act  in  a  manner  which expresses or implies a
        relationship other than that of independent  contractor,  nor  bind 
        the  other  party.
  - source_sentence: In which section can I find the specifics of the 'Initial Term'?
    sentences:
      - 1.22 "Initial Term" has the meaning set forth in Section 8.1.
      - >-
        If the Reseller sells less than 50% of any year's Annual Milestone,
        Todos, in its sole discretion, may either (a) cancel the Reseller's
        exclusivity, and market, distribute, and sell the Products in the
        Territory directly or indirectly through other distributors and
        resellers, while leaving the Reseller with a non-exclusive right to
        distribute and sell the Products for the remainder of the term, or (b)
        terminate the Agreement upon one hundred eighty (180) days prior written
        notice, provided that the Reseller does not cure its failure to achieve
        50% of the applicable year's Annual Milestone within the 180-day notice
        period.
      - 6 Term and Termination.
  - source_sentence: In what circumstances can FCE assume responsibility for a Program Patent?
    sentences:
      - >-
        We may also collect anonymous, statistical data from users of the
        Services, such as a user's browser version, operating system version,
        country, page loading time, type of device, number of visits, time using
        the Services, network, demographic estimates, flow-through the website
        and/or Services or referral source, which may then be aggregated. We may
        use non-personal data that we collect from you to improve the Services
        or to support advertising services. For registered users, this
        anonymous, statistical data may include that relating to their
        activities, such as high scores, game rankings, league rankings, game
        challenges, avatars etc.
      - >-
        Notwithstanding the foregoing, in the event ExxonMobil decides not to
        prosecute, defend, enforce, maintain or decides to abandon any Program
        Patent, then ExxonMobil will provide notice thereof to FCE, and FCE will
        then have the right, but not the obligation, to prosecute or maintain
        the Program Patent and sole responsibility for the continuing costs,
        taxes, legal fees, maintenance fees and other fees associated with that
        Program Patent.
      - >-
        4. Limitation of Liability of the Sponsor. The Sponsor shall not be
        liable for any error of judgment or mistake of law or for any act or
        omission in the oversight, administration or management of the Trust or
        the performance of its duties hereunder, except for willful misfeasance,
        bad faith or gross negligence in the performance of its duties, or by
        reason of the reckless disregard of its obligations and duties
        hereunder. As used in this Section 4, the term "Sponsor" shall include
        Domini and/or any of its affiliates and the directors, officers and
        employees of Domini and/or any of its affiliates.
model-index:
  - name: >-
      SentenceTransformer based on
      sentence-transformers/msmarco-distilbert-base-v2
    results:
      - task:
          type: information-retrieval
          name: Information Retrieval
        dataset:
          name: msmarco distilbert base v2
          type: msmarco-distilbert-base-v2
        metrics:
          - type: cosine_accuracy@1
            value: 0.6422082459818309
            name: Cosine Accuracy@1
          - type: cosine_accuracy@3
            value: 0.8230607966457023
            name: Cosine Accuracy@3
          - type: cosine_accuracy@5
            value: 0.872816212438854
            name: Cosine Accuracy@5
          - type: cosine_accuracy@10
            value: 0.9382250174703005
            name: Cosine Accuracy@10
          - type: cosine_precision@1
            value: 0.6422082459818309
            name: Cosine Precision@1
          - type: cosine_precision@3
            value: 0.27435359888190075
            name: Cosine Precision@3
          - type: cosine_precision@5
            value: 0.1745632424877708
            name: Cosine Precision@5
          - type: cosine_precision@10
            value: 0.09382250174703004
            name: Cosine Precision@10
          - type: cosine_recall@1
            value: 0.6422082459818309
            name: Cosine Recall@1
          - type: cosine_recall@3
            value: 0.8230607966457023
            name: Cosine Recall@3
          - type: cosine_recall@5
            value: 0.872816212438854
            name: Cosine Recall@5
          - type: cosine_recall@10
            value: 0.9382250174703005
            name: Cosine Recall@10
          - type: cosine_ndcg@10
            value: 0.790195916846684
            name: Cosine Ndcg@10
          - type: cosine_mrr@10
            value: 0.7427224274289222
            name: Cosine Mrr@10
          - type: cosine_map@100
            value: 0.7454587747656682
            name: Cosine Map@100
          - type: dot_accuracy@1
            value: 0.6317260656883298
            name: Dot Accuracy@1
          - type: dot_accuracy@3
            value: 0.8204053109713487
            name: Dot Accuracy@3
          - type: dot_accuracy@5
            value: 0.8735150244584207
            name: Dot Accuracy@5
          - type: dot_accuracy@10
            value: 0.9375262054507337
            name: Dot Accuracy@10
          - type: dot_precision@1
            value: 0.6317260656883298
            name: Dot Precision@1
          - type: dot_precision@3
            value: 0.27346843699044954
            name: Dot Precision@3
          - type: dot_precision@5
            value: 0.17470300489168414
            name: Dot Precision@5
          - type: dot_precision@10
            value: 0.09375262054507337
            name: Dot Precision@10
          - type: dot_recall@1
            value: 0.6317260656883298
            name: Dot Recall@1
          - type: dot_recall@3
            value: 0.8204053109713487
            name: Dot Recall@3
          - type: dot_recall@5
            value: 0.8735150244584207
            name: Dot Recall@5
          - type: dot_recall@10
            value: 0.9375262054507337
            name: Dot Recall@10
          - type: dot_ndcg@10
            value: 0.7853441093620476
            name: Dot Ndcg@10
          - type: dot_mrr@10
            value: 0.7364890242143864
            name: Dot Mrr@10
          - type: dot_map@100
            value: 0.7392413927907737
            name: Dot Map@100

SentenceTransformer based on sentence-transformers/msmarco-distilbert-base-v2

This is a sentence-transformers model finetuned from sentence-transformers/msmarco-distilbert-base-v2. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

Model Details

Model Description

Model Type: Sentence Transformer
Base model: sentence-transformers/msmarco-distilbert-base-v2
Maximum Sequence Length: 350 tokens
Output Dimensionality: 768 tokens
Similarity Function: Cosine Similarity

Model Sources

Documentation: Sentence Transformers Documentation
Repository: Sentence Transformers on GitHub
Hugging Face: Sentence Transformers on Hugging Face

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'max_seq_length': 350, 'do_lower_case': False}) with Transformer model: DistilBertModel 
  (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, '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("kperkins411/msmarco-distilbert-base-v2_triplet_legal")
# Run inference
sentences = [
    'In what circumstances can FCE assume responsibility for a Program Patent?',
    'Notwithstanding the foregoing, in the event ExxonMobil decides not to prosecute, defend, enforce, maintain or decides to abandon any Program Patent, then ExxonMobil will provide notice thereof to FCE, and FCE will then have the right, but not the obligation, to prosecute or maintain the Program Patent and sole responsibility for the continuing costs, taxes, legal fees, maintenance fees and other fees associated with that Program Patent.',
    '4. Limitation of Liability of the Sponsor. The Sponsor shall not be liable for any error of judgment or mistake of law or for any act or omission in the oversight, administration or management of the Trust or the performance of its duties hereunder, except for willful misfeasance, bad faith or gross negligence in the performance of its duties, or by reason of the reckless disregard of its obligations and duties hereunder. As used in this Section 4, the term "Sponsor" shall include Domini and/or any of its affiliates and the directors, officers and employees of Domini and/or any of its affiliates.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]

Evaluation

Metrics

Information Retrieval

Dataset: msmarco-distilbert-base-v2
Evaluated with InformationRetrievalEvaluator

Metric	Value
cosine_accuracy@1	0.6422
cosine_accuracy@3	0.8231
cosine_accuracy@5	0.8728
cosine_accuracy@10	0.9382
cosine_precision@1	0.6422
cosine_precision@3	0.2744
cosine_precision@5	0.1746
cosine_precision@10	0.0938
cosine_recall@1	0.6422
cosine_recall@3	0.8231
cosine_recall@5	0.8728
cosine_recall@10	0.9382
cosine_ndcg@10	0.7902
cosine_mrr@10	0.7427
cosine_map@100	0.7455
dot_accuracy@1	0.6317
dot_accuracy@3	0.8204
dot_accuracy@5	0.8735
dot_accuracy@10	0.9375
dot_precision@1	0.6317
dot_precision@3	0.2735
dot_precision@5	0.1747
dot_precision@10	0.0938
dot_recall@1	0.6317
dot_recall@3	0.8204
dot_recall@5	0.8735
dot_recall@10	0.9375
dot_ndcg@10	0.7853
dot_mrr@10	0.7365
dot_map@100	0.7392

Training Details

Training Dataset

Unnamed Dataset

Size: 88,018 training samples
Columns: anchor, positive, and negative

Approximate statistics based on the first 1000 samples:

	anchor	positive	negative
type	string	string	string
details	min: 7 tokens mean: 17.42 tokens max: 104 tokens	min: 6 tokens mean: 102.85 tokens max: 350 tokens	min: 6 tokens mean: 103.73 tokens max: 350 tokens

Samples:

anchor	positive	negative
`What happens if a Party fails to retain records for the required period?`	`Each Party will retain such records for at least three (3) years following expiration or termination of this Agreement or such longer period as may be required by applicable law or regulation.`	`Either party hereto may terminate this Agreement after the Initial Period upon at least six (6) months' prior written notice to the other party thereof.`
`What happens if a Party fails to retain records for the required period?`	`Each Party will retain such records for at least three (3) years following expiration or termination of this Agreement or such longer period as may be required by applicable law or regulation.`	`The Agreement may be terminated by both Parties with a notification period of *** before the end of the Initial Term of the Agreement.`
`What happens if a Party fails to retain records for the required period?`	`Each Party will retain such records for at least three (3) years following expiration or termination of this Agreement or such longer period as may be required by applicable law or regulation.`	`For twelve (12) months after delivery of the Master Copy of each Licensed Product to Licensee, Licensor warrants that the media in which the Licensed Products are stored shall be free from defects in materials and workmanship, assuming normal use. Licensee may return any defective media to Licensor for replacement free of charge during such twelve (12) month period.`

Loss: TripletLoss with these parameters:

{
    "distance_metric": "TripletDistanceMetric.EUCLIDEAN",
    "triplet_margin": 5
}

Evaluation Dataset

Unnamed Dataset

Size: 1,084 evaluation samples
Columns: anchor, positive, and negative

Approximate statistics based on the first 1000 samples:

	anchor	positive	negative
type	string	string	string
details	min: 6 tokens mean: 20.24 tokens max: 124 tokens	min: 6 tokens mean: 97.01 tokens max: 350 tokens	min: 6 tokens mean: 105.03 tokens max: 350 tokens

Samples:

anchor	positive	negative
`Are Capital Contributions categorized as either 'Initial' or 'Additional' in the accounts?`	`Capital Accounts An individual capital account (the "Capital Accounts") will be maintained for each Participant and their Initial Capital Contribution will be credited to this account. Any Additional Capital Contributions made by any Participant will be credited to that Participant's individual Capital Account.`	`Section 4.3 Deposits and Payments 19`
`Are Capital Contributions categorized as either 'Initial' or 'Additional' in the accounts?`	`Capital Accounts An individual capital account (the "Capital Accounts") will be maintained for each Participant and their Initial Capital Contribution will be credited to this account. Any Additional Capital Contributions made by any Participant will be credited to that Participant's individual Capital Account.`	`Section 2.1 The Fund agrees at its own expense to execute any and all documents, to furnish any and all information, and to take any other actions that may be reasonably necessary in connection with the qualification of the Shares for sale in those states that Integrity may designate.`
`Are Capital Contributions categorized as either 'Initial' or 'Additional' in the accounts?`	`Capital Accounts An individual capital account (the "Capital Accounts") will be maintained for each Participant and their Initial Capital Contribution will be credited to this account. Any Additional Capital Contributions made by any Participant will be credited to that Participant's individual Capital Account.`	`Section 1.9 Integrity shall prepare and deliver reports to the Treasurer of the Fund and to the Investment Adviser on a regular, at least quarterly, basis, showing the distribution expenses incurred pursuant to this Agreement and the Plan and the purposes therefore, as well as any supplemental reports as the Trustees, from time to time, may reasonably request.`

Loss: TripletLoss with these parameters:

{
    "distance_metric": "TripletDistanceMetric.EUCLIDEAN",
    "triplet_margin": 5
}

Training Hyperparameters

Non-Default Hyperparameters

eval_strategy: epoch
per_device_train_batch_size: 128
per_device_eval_batch_size: 128
learning_rate: 2e-05
warmup_ratio: 0.1
fp16: True
load_best_model_at_end: True
batch_sampler: no_duplicates

All Hyperparameters

Click to expand

overwrite_output_dir: False
do_predict: False
eval_strategy: epoch
prediction_loss_only: True
per_device_train_batch_size: 128
per_device_eval_batch_size: 128
per_gpu_train_batch_size: None
per_gpu_eval_batch_size: None
gradient_accumulation_steps: 1
eval_accumulation_steps: None
learning_rate: 2e-05
weight_decay: 0.0
adam_beta1: 0.9
adam_beta2: 0.999
adam_epsilon: 1e-08
max_grad_norm: 1.0
num_train_epochs: 3
max_steps: -1
lr_scheduler_type: linear
lr_scheduler_kwargs: {}
warmup_ratio: 0.1
warmup_steps: 0
log_level: passive
log_level_replica: warning
log_on_each_node: True
logging_nan_inf_filter: True
save_safetensors: True
save_on_each_node: False
save_only_model: False
restore_callback_states_from_checkpoint: False
no_cuda: False
use_cpu: False
use_mps_device: False
seed: 42
data_seed: None
jit_mode_eval: False
use_ipex: False
bf16: False
fp16: True
fp16_opt_level: O1
half_precision_backend: auto
bf16_full_eval: False
fp16_full_eval: False
tf32: None
local_rank: 0
ddp_backend: None
tpu_num_cores: None
tpu_metrics_debug: False
debug: []
dataloader_drop_last: False
dataloader_num_workers: 0
dataloader_prefetch_factor: None
past_index: -1
disable_tqdm: False
remove_unused_columns: True
label_names: None
load_best_model_at_end: True
ignore_data_skip: False
fsdp: []
fsdp_min_num_params: 0
fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
fsdp_transformer_layer_cls_to_wrap: None
accelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
deepspeed: None
label_smoothing_factor: 0.0
optim: adamw_torch
optim_args: None
adafactor: False
group_by_length: False
length_column_name: length
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
use_legacy_prediction_loop: False
push_to_hub: False
resume_from_checkpoint: None
hub_model_id: None
hub_strategy: every_save
hub_private_repo: False
hub_always_push: False
gradient_checkpointing: False
gradient_checkpointing_kwargs: None
include_inputs_for_metrics: False
eval_do_concat_batches: True
fp16_backend: auto
push_to_hub_model_id: None
push_to_hub_organization: None
mp_parameters:
auto_find_batch_size: False
full_determinism: False
torchdynamo: None
ray_scope: last
ddp_timeout: 1800
torch_compile: False
torch_compile_backend: None
torch_compile_mode: None
dispatch_batches: None
split_batches: None
include_tokens_per_second: False
include_num_input_tokens_seen: False
neftune_noise_alpha: None
optim_target_modules: None
batch_eval_metrics: False
batch_sampler: no_duplicates
multi_dataset_batch_sampler: proportional

Training Logs

Epoch	Step	Training Loss	loss	msmarco-distilbert-base-v2_cosine_map@100
0	0	-	-	0.6601
0.1453	100	1.5696	-	-
0.2907	200	0.7941	-	-
0.4360	300	0.6151	-	-
0.5814	400	0.5458	-	-
0.7267	500	0.5085	-	-
0.8721	600	0.4601	-	-
1.0131	697	-	0.3492	-
1.0044	700	0.4055	-	-
1.1497	800	0.3538	-	-
1.2951	900	0.2245	-	-
1.4404	1000	0.1821	-	-
1.5858	1100	0.1761	-	-
1.7311	1200	0.1872	-	-
1.8765	1300	0.169	-	-
2.0131	1394	-	0.2674	-
2.0087	1400	0.1502	-	-
2.1541	1500	0.1416	-	-
2.2994	1600	0.0914	-	-
2.4448	1700	0.0868	-	-
2.5901	1800	0.0854	-	-
2.7355	1900	0.0905	-	-
2.8808	2000	0.0888	-	-
2.9738	2064	-	0.2272	0.7455

The bold row denotes the saved checkpoint.

Framework Versions

Python: 3.11.9
Sentence Transformers: 3.1.0.dev0
Transformers: 4.41.2
PyTorch: 2.1.2+cu121
Accelerate: 0.31.0
Datasets: 2.19.1
Tokenizers: 0.19.1

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",
}

TripletLoss

@misc{hermans2017defense,
    title={In Defense of the Triplet Loss for Person Re-Identification},
    author={Alexander Hermans and Lucas Beyer and Bastian Leibe},
    year={2017},
    eprint={1703.07737},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}