metadata
language:
- en
license: apache-2.0
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:8290
- loss:MultipleNegativesRankingLoss
base_model: BAAI/bge-base-en-v1.5
widget:
- source_sentence: >-
30. HOLDING OVER. If Tenant remains in possession of the Leased Premises
after expiration of the Term, or after any termination of the Lease by
Landlord without written agreement between the parties, Tenant shall be a
tenant at sufferance and such tenancy shall be subject to the provisions
hereof, except that Base Rent for said holdover period shall be one
hundred twenty five percent (125%) of the amount of Base Rent due in the
last month of the Term. Nothing in this Section shall be construed as
consent by Landlord to the possession of the Leased Premises by Tenant
after the expiration of the Term or termination of the Lease by Landlord.
sentences:
- Holding Over
- Does landlord confirm to no eminent domain on the property
- Holding Over
- source_sentence: >2-
Lease other than as specifically provided in the Lease..
(j) To the knowledge of Landlord and/or Assignor, there has been no casualty with respect
to the Premises..
(k) There does not exist any pending, or to the knowledge of Landlord, contemplated,
condemnation or eminent domain proceedings that affect the Premises or any part thereof, and Landlord
has received no notice, oral or written, of the intention of any governmental body or other entity to take or
use all or any part thereof.
(d) The Premises contain approximately 3,739 rentable square feet, which
is 4.18% of the. rentable area of the Project. (e) There are no existing
defaults on the part of Landlord or Assignor under the Lease;. neither
party to the Lease has delivered any notice of default to the other; and,
to the knowledge of Landlord and/or Assignor, no event has occurred that,
with the giving of notice or the passage of time or both, would constitute
a default under the Lease.. (f) The current monthly Base Rent payable
under the Lease is $7,322.21 per month. All rent. payable under the Lease
has been paid through May 31, 2020. (g) There is currently no security
deposit being held by Landlord under the Lease.. (h) All improvements to
the Premises required to be made by Landlord or Assignor under the Lease
have been made, and any improvement allowances to be paid to Assignor have
been fully paid. (i) Landlord has no option to terminate or otherwise
modify the terms and conditions of the.
sentences:
- Does landlord confirm to no eminent domain on the property
- Signage Rights
- Signage Rights
- source_sentence: >-
17. Condemnation. Either party may terminate this Lease if any material
part of the Premises is taken or condemned for any public or quasi-public
use under Law, by eminent domain or private purchase in lieu thereof (a
"Taking"). Landlord shall also have the right to terminate this Lease if
there is a Taking of any portion of the Building or Property which would
have a material adverse effect on Landlord's ability to profitably operate
the remainder of the Building. The terminating party shall provide written
notice of termination to the other party within 45 days after it first
receives notice of the Taking. The termination shall be effective as of
the effective date of any order granting possession to, or vesting legal
title in, the condemning authority. If this Lease is not terminated, Base
Rent and Tenant's Pro Rata Share shall be appropriately adjusted to
account for any reduction in the square footage of the Building or
Premises. All compensation awarded for a Taking shall be the property of
Landlord. The right to receive compensation or proceeds are expressly
waived by Tenant, provided, however, Tenant may file a separate claim for
Tenant's Property and Tenant's reasonable relocation expenses, provided
the filing of the claim does not diminish the amount of Landlord's award.
If only a part of the Premises is subject to a Taking and this Lease is
not terminated, Landlord, with reasonable diligence, will restore the
remaining portion of the Premises as nearly as practicable to the
condition immediately prior to the Taking.
sentences:
- Eminent Domain(Detail)
- Permitted Use
- Permitted Use
- source_sentence: |2
5. Lessor reserves the right to relocate all or a part of parking spaces from floor to
floor, within one floor, and/or to reasonably adjacent offsite location(s), and to
reasonably allocate them between compact and standard size spaces, as Iong as
the same complies with applicable laws, ordinances and regulations..
.
6. Users of the parking area will obey all posted signs and park only in the areas
designated for vehicle parking.
.
7. Unless otherwise instructed, every person using the parking area is required to
park and lock his own vehicle. Lessor will not be responsible for any damage to
vehicles, injury to persons or loss of property, all of which risks are assumed by
the party using the parking area.
.
8. Validation, if established, will be permissible only by such method or methods
as Lessor and/or its licensee may establish at rates generally applicable to visitor
parking.
.
9. The maintenance, washing, waxing or cleaning of vehicles in the parking
structure or Common Areas is prohibited.
.
10. Lessee shall be responsible for seeing that all of its employees, agents and
invitees comply with the applicable parking rules, regulations, laws and.
agreements.
.
11. Lessor reserves the right to modify these rules and/or adopt such other
reasonable and non-discriminatory rules and regulations as it may deem.
necessary for the proper operation of the parking area..
.
12. Such parking use as is herein provided is intended merely as a license only
and no bailment is intended or shall be created hereby..
.
4/5/2012 14 initials O
3. Lessor reserves the right to use parking stickers or identification devices
which shall be the property of Lessor and be returned to Lessor by the holder
thereof upon termination of the holder's parking privileges. Lessee will pay such
replacement charge as is reasonably established by Lessor for the loss of such
devices.
.
4. Lessor reserves the right to refuse the sale of monthly identification devices to
any person or entity that willfully refuses to comply with the applicable rules,
regulations, laws and/or agreements.
sentences:
- Does landlord confirm to no eminent domain on the property
- Permitted Use
- Right to Relocate (Detail)
- source_sentence: >-
31. HOLDING OVER. If Tenant remains in possession of the Leased Premises
after
expiration of the Term, or after any termination of the Lease by Landlord
without written agreement
between the parties, Tenant shall be a tenant at sufferance and such
tenancy shall be subject to the
provisions hereof, except that Rent for said holdover period shall be one
hundred fifty percent (150%) of
the amount of Rent due in the last month of the Term. Nothing in this
Section 29 shall be construed as
consent by Landlord to the possession of the Leased Premises by Tenant
after the expiration of the Term
or termination of the Lease by Landlord.
sentences:
- Holding Over
- Does landlord confirm to no eminent domain on the property
- Holding Rent
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: BGE base En v1.5 Phase 5
results:
- task:
type: information-retrieval
name: Information Retrieval
dataset:
name: dim 768
type: dim_768
metrics:
- type: cosine_accuracy@1
value: 0.011029411764705883
name: Cosine Accuracy@1
- type: cosine_accuracy@3
value: 0.022794117647058822
name: Cosine Accuracy@3
- type: cosine_accuracy@5
value: 0.03602941176470588
name: Cosine Accuracy@5
- type: cosine_accuracy@10
value: 0.07720588235294118
name: Cosine Accuracy@10
- type: cosine_precision@1
value: 0.011029411764705883
name: Cosine Precision@1
- type: cosine_precision@3
value: 0.0075980392156862735
name: Cosine Precision@3
- type: cosine_precision@5
value: 0.007205882352941177
name: Cosine Precision@5
- type: cosine_precision@10
value: 0.007720588235294118
name: Cosine Precision@10
- type: cosine_recall@1
value: 0.011029411764705883
name: Cosine Recall@1
- type: cosine_recall@3
value: 0.022794117647058822
name: Cosine Recall@3
- type: cosine_recall@5
value: 0.03602941176470588
name: Cosine Recall@5
- type: cosine_recall@10
value: 0.07720588235294118
name: Cosine Recall@10
- type: cosine_ndcg@10
value: 0.03623828989025581
name: Cosine Ndcg@10
- type: cosine_mrr@10
value: 0.024275501867413632
name: Cosine Mrr@10
- type: cosine_map@100
value: 0.0367475670482882
name: Cosine Map@100
BGE base En v1.5 Phase 5
This is a sentence-transformers model finetuned from BAAI/bge-base-en-v1.5. 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: BAAI/bge-base-en-v1.5
- Maximum Sequence Length: 512 tokens
- Output Dimensionality: 768 dimensions
- Similarity Function: Cosine Similarity
- Language: en
- License: apache-2.0
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': 512, 'do_lower_case': True}) with Transformer model: BertModel
(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
(2): Normalize()
)
Usage
Direct Usage (Sentence Transformers)
First install the Sentence Transformers library:
pip install -U sentence-transformers
Then you can load this model and run inference.
from sentence_transformers import SentenceTransformer
# Download from the 🤗 Hub
model = SentenceTransformer("RishuD7/bge-base-en-v1.5-76-keys-phase-6-exp_v1")
# Run inference
sentences = [
'31. HOLDING OVER. If Tenant remains in possession of the Leased Premises after\nexpiration of the Term, or after any termination of the Lease by Landlord without written agreement\nbetween the parties, Tenant shall be a tenant at sufferance and such tenancy shall be subject to the\nprovisions hereof, except that Rent for said holdover period shall be one hundred fifty percent (150%) of\nthe amount of Rent due in the last month of the Term. Nothing in this Section 29 shall be construed as\nconsent by Landlord to the possession of the Leased Premises by Tenant after the expiration of the Term\nor termination of the Lease by Landlord. ',
'Holding Rent',
'Does landlord confirm to no eminent domain on the property',
]
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:
dim_768
- Evaluated with
InformationRetrievalEvaluator
Metric | Value |
---|---|
cosine_accuracy@1 | 0.011 |
cosine_accuracy@3 | 0.0228 |
cosine_accuracy@5 | 0.036 |
cosine_accuracy@10 | 0.0772 |
cosine_precision@1 | 0.011 |
cosine_precision@3 | 0.0076 |
cosine_precision@5 | 0.0072 |
cosine_precision@10 | 0.0077 |
cosine_recall@1 | 0.011 |
cosine_recall@3 | 0.0228 |
cosine_recall@5 | 0.036 |
cosine_recall@10 | 0.0772 |
cosine_ndcg@10 | 0.0362 |
cosine_mrr@10 | 0.0243 |
cosine_map@100 | 0.0367 |
Training Details
Training Dataset
Unnamed Dataset
- Size: 8,290 training samples
- Columns:
positive
andanchor
- Approximate statistics based on the first 1000 samples:
positive anchor type string string details - min: 98 tokens
- mean: 298.43 tokens
- max: 512 tokens
- min: 4 tokens
- mean: 5.99 tokens
- max: 12 tokens
- Samples:
positive anchor The Landlord shall have the right, at any time during the Term, to relocate the Premises to other premises (the "New Premises") in the Development on the same terms and conditions as are set out in this Lease provided that: (a) the Landlord shall first have given not less than 90 days notice to the Tenant; (b) the Landlord shall endeavour to ensure that the New Premises be of comparable size and quality to the Premises; (c) the Landlord shall pay the reasonable costs incurred by the Tenant for: (i) its physical move; (ii) the reconnection of existing communication lines; and (iii) the reordering of new printed material plates and the printing of an equal quantity and quality of printed material the tenant has in stock as the time of the relocation; (d) if the Rentable Area of the New Premises is not the same as the Rentable Area of the Premises, the total Basic Rent payable under this Lease (but not the Basic Rent per square foot of Rentable Area) shall be adjusted accordingly; and (e)...
Right to Relocate
39. Holdover: If Tenant shall hold over after the expiration of the Lease Term, without written agreement providing otherwise, Tenant shall be deemed to be a tenant at sufferance on month to month basis, at a monthly rental, payable in advance, equal to double the base rent then being paid by Tenant, and Tenant shall be bound by all of the other terms, covenants and agreements of the Lease. Nothing contained herein shall be construed to give Tenant the right to hold over at any time, extend the Term or prevent Landlord from immediate recovery of possession of the Premises by summary proceedings or otherwise and Landlord may exercise any and all remedies at law or in equity to recover possession of the Premises, as well as any damages incurred by Landlord, by Tenant's failure to vacate the Premises and deliver possession to Landlord as herein provided.
Holding Over
30. HOLDING OVER. If Tenant remains in possession of the Leased Premises after expiration of the Term, or after any termination of the Lease by Landlord without written agreement between the parties, Tenant shall be a tenant at sufferance and such tenancy shall be subject to the provisions hereof, except that Gross Rent for said holdover period shall be one hundred twenty five percent (125%) of the amount of Gross Rent due in the last month of the Term. Nothing in this Section 30 shall be construed as consent by Landlord to the possession of the Leased Premises by Tenant after the expiration of the Term or termination of the Lease by Landlord. In the event Tenant provides written notice to Landlord of its intent to holdover at least sixty (60) days prior to the end of the Term and Landlord does not object to such request within thirty (30) days after receipt thereof, it shall be deemed that Landlord has consented to such holdover and this Lease shall continue on a month-to-month basis ...
Holding Over
- Loss:
MultipleNegativesRankingLoss
with these parameters:{ "scale": 20.0, "similarity_fct": "cos_sim" }
Training Hyperparameters
Non-Default Hyperparameters
eval_strategy
: epochper_device_train_batch_size
: 32per_device_eval_batch_size
: 16gradient_accumulation_steps
: 16learning_rate
: 2e-05num_train_epochs
: 30lr_scheduler_type
: cosinewarmup_ratio
: 0.1tf32
: Falseload_best_model_at_end
: Trueoptim
: adamw_torch_fusedbatch_sampler
: no_duplicates
All Hyperparameters
Click to expand
overwrite_output_dir
: Falsedo_predict
: Falseeval_strategy
: epochprediction_loss_only
: Trueper_device_train_batch_size
: 32per_device_eval_batch_size
: 16per_gpu_train_batch_size
: Noneper_gpu_eval_batch_size
: Nonegradient_accumulation_steps
: 16eval_accumulation_steps
: Nonetorch_empty_cache_steps
: Nonelearning_rate
: 2e-05weight_decay
: 0.0adam_beta1
: 0.9adam_beta2
: 0.999adam_epsilon
: 1e-08max_grad_norm
: 1.0num_train_epochs
: 30max_steps
: -1lr_scheduler_type
: cosinelr_scheduler_kwargs
: {}warmup_ratio
: 0.1warmup_steps
: 0log_level
: passivelog_level_replica
: warninglog_on_each_node
: Truelogging_nan_inf_filter
: Truesave_safetensors
: Truesave_on_each_node
: Falsesave_only_model
: Falserestore_callback_states_from_checkpoint
: Falseno_cuda
: Falseuse_cpu
: Falseuse_mps_device
: Falseseed
: 42data_seed
: Nonejit_mode_eval
: Falseuse_ipex
: Falsebf16
: Falsefp16
: Falsefp16_opt_level
: O1half_precision_backend
: autobf16_full_eval
: Falsefp16_full_eval
: Falsetf32
: Falselocal_rank
: 0ddp_backend
: Nonetpu_num_cores
: Nonetpu_metrics_debug
: Falsedebug
: []dataloader_drop_last
: Falsedataloader_num_workers
: 0dataloader_prefetch_factor
: Nonepast_index
: -1disable_tqdm
: Falseremove_unused_columns
: Truelabel_names
: Noneload_best_model_at_end
: Trueignore_data_skip
: Falsefsdp
: []fsdp_min_num_params
: 0fsdp_config
: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}fsdp_transformer_layer_cls_to_wrap
: Noneaccelerator_config
: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}deepspeed
: Nonelabel_smoothing_factor
: 0.0optim
: adamw_torch_fusedoptim_args
: Noneadafactor
: Falsegroup_by_length
: Falselength_column_name
: lengthddp_find_unused_parameters
: Noneddp_bucket_cap_mb
: Noneddp_broadcast_buffers
: Falsedataloader_pin_memory
: Truedataloader_persistent_workers
: Falseskip_memory_metrics
: Trueuse_legacy_prediction_loop
: Falsepush_to_hub
: Falseresume_from_checkpoint
: Nonehub_model_id
: Nonehub_strategy
: every_savehub_private_repo
: Falsehub_always_push
: Falsegradient_checkpointing
: Falsegradient_checkpointing_kwargs
: Noneinclude_inputs_for_metrics
: Falseeval_do_concat_batches
: Truefp16_backend
: autopush_to_hub_model_id
: Nonepush_to_hub_organization
: Nonemp_parameters
:auto_find_batch_size
: Falsefull_determinism
: Falsetorchdynamo
: Noneray_scope
: lastddp_timeout
: 1800torch_compile
: Falsetorch_compile_backend
: Nonetorch_compile_mode
: Nonedispatch_batches
: Nonesplit_batches
: Noneinclude_tokens_per_second
: Falseinclude_num_input_tokens_seen
: Falseneftune_noise_alpha
: Noneoptim_target_modules
: Nonebatch_eval_metrics
: Falseeval_on_start
: Falseeval_use_gather_object
: Falseprompts
: Nonebatch_sampler
: no_duplicatesmulti_dataset_batch_sampler
: proportional
Training Logs
Epoch | Step | Training Loss | dim_768_cosine_ndcg@10 |
---|---|---|---|
0.6154 | 10 | 2.5422 | - |
1.2308 | 20 | 1.3661 | - |
1.8462 | 30 | 0.1879 | - |
2.4615 | 40 | 0.0 | - |
3.0769 | 50 | 0.0 | - |
3.3846 | 55 | - | 0.0252 |
1.2846 | 60 | 0.8868 | - |
1.9 | 70 | 1.4243 | - |
2.5154 | 80 | 0.1644 | - |
3.1308 | 90 | 0.0041 | - |
3.7462 | 100 | 0.0 | - |
4.3615 | 110 | 0.0 | 0.0301 |
2.5692 | 120 | 1.0665 | - |
3.1846 | 130 | 0.4817 | - |
3.8 | 140 | 0.0021 | - |
4.4154 | 150 | 0.0 | - |
5.0308 | 160 | 0.0 | - |
5.4 | 166 | - | 0.0328 |
3.2385 | 170 | 0.4318 | - |
3.8538 | 180 | 0.7595 | - |
4.4692 | 190 | 0.0737 | - |
5.0846 | 200 | 0.0004 | - |
5.7 | 210 | 0.0 | - |
6.3154 | 220 | 0.0 | - |
6.3769 | 221 | - | 0.0354 |
4.5231 | 230 | 0.736 | - |
5.1385 | 240 | 0.3332 | - |
5.7538 | 250 | 0.0008 | - |
6.3692 | 260 | 0.0 | - |
6.9846 | 270 | 0.0 | - |
7.3538 | 276 | - | 0.0336 |
5.1923 | 280 | 0.3014 | - |
5.8077 | 290 | 0.5931 | - |
6.4231 | 300 | 0.0735 | - |
7.0385 | 310 | 0.0002 | - |
7.6538 | 320 | 0.0 | - |
8.2692 | 330 | 0.0 | - |
8.3923 | 332 | - | 0.0374 |
6.4769 | 340 | 0.5984 | - |
7.0923 | 350 | 0.2797 | - |
7.7077 | 360 | 0.0005 | - |
8.3231 | 370 | 0.0 | - |
8.9385 | 380 | 0.0 | - |
9.3692 | 387 | - | 0.0355 |
7.1462 | 390 | 0.1997 | - |
7.7615 | 400 | 0.5201 | - |
8.3769 | 410 | 0.0799 | - |
8.9923 | 420 | 0.0001 | - |
9.6077 | 430 | 0.0 | - |
10.2231 | 440 | 0.0 | - |
10.4077 | 443 | - | 0.0362 |
8.4308 | 450 | 0.5072 | - |
9.0462 | 460 | 0.2583 | - |
9.6615 | 470 | 0.0005 | - |
10.2769 | 480 | 0.0 | 0.0362 |
- The bold row denotes the saved checkpoint.
Framework Versions
- Python: 3.11.11
- Sentence Transformers: 3.3.1
- Transformers: 4.43.1
- PyTorch: 2.5.1+cu124
- Accelerate: 1.2.1
- 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",
}
MultipleNegativesRankingLoss
@misc{henderson2017efficient,
title={Efficient Natural Language Response Suggestion for Smart Reply},
author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil},
year={2017},
eprint={1705.00652},
archivePrefix={arXiv},
primaryClass={cs.CL}
}