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---
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- dense
- generated_from_trainer
- dataset_size:16129
- loss:MultipleNegativesRankingLoss
widget:
- source_sentence: Rofr/Rofo/Rofn
sentences:
- between the parties is not executed within thirty (30) days following delivery,
of such notice to Snap, Snap shall be free thereafter to enter into an such an
agreement with any third party.
- 'This Agreement contains the entire agreement of the parties and SYNTEL shall
not be bound by any other different, additional, or further agreements or understandings
except as consented to in writing by the Chief Administrative Officer or Director,
Human Resources of SYNTEL. This Agreement shall be binding upon and inure to the
benefit of the parties hereto and their respective successors and assigns. No
amendment hereof shall be effective unless contained in a written instrument signed
by the parties hereto. No delay or omission by either party to exercise any right
or power under this Agreement shall impair such right or power or be construed
to be a waiver thereof. A waiver by either party of any of the covenants to be
performed by the other party or of any breach shall not be construed to be a waiver
of any succeeding breach or of any other covenant. If any portion of any provision
of the Agreement is declared invalid, the offending portion of such provision
shall be deemed severable from such provision and the remaining provisions of
the Agreement, which shall remain in full force and effect. EMPLOYEE shall not
assign or transfer this Agreement without the prior written consent of SYNTEL.
EMPLOYEE’s employment with SYNTEL is at will and may be terminated by SYNTEL at
any time with or without cause, and with or without notice. All rights and remedies
provided for in this Agreement shall be cumulative and in addition to and not
in lieu of any other rights or remedies available to either party at law, in equity,
or otherwise. Paragraphs 2, 3, 6, 7, 8, 9, 10, 11, 12, and 13 of this Agreement
shall survive termination of this Agreement and EMPLOYEE’s employment with SYNTEL.
The parties submit to the jurisdiction and venue of the circuit court for the
County of Oakland, State of Michigan or, if original jurisdiction can be established,
the United States District Court for the Eastern District of Michigan with respect
to: a) disputes, controversies, or claims arising out of EMPLOYEE’S failure to
abide by Paragraphs 6, 7, and/or Exhibit A – “Confidential Information” of this
Agreement, b) claims initiated by SYNTEL pursuant to Paragraph 10 of this Agreement,
and c) the enforcement of any awards or relief granted pursuant to the dispute
resolution procedures set forth in Paragraph 11 of this Agreement. The parties
stipulate that the venues referenced in this Agreement are convenient. This Agreement
shall be construed under and in accordance with the laws of the State of Michigan.'
- 'The existence and terms of this Term Sheet are “Confidential Information” under
and subject to the terms of the Confidentiality Agreement, dated February 23,
2016 (as amended on August 16, 2016, the “ Confidentiality Agreement ”), between
CHC Leasing (Ireland) Limited and The Milestone Aviation Group Limited. The parties
confirm that the Confidentiality Agreement remains in full force and effect; provided
, however, the parties (i) agree that each party may disclose Confidential Information
to the professional advisers retained by the Committee and (ii) agree to work
in good faith to amend the Confidentiality Agreement to permit certain participants
in the Chapter 11 Case (as agreed to by the parties) to view a partially redacted
version of this Term Sheet. In addition, as each of the parties hereto acknowledges
that this Term Sheet is itself, and this Term Sheet contains, commercially sensitive
and proprietary information, with respect to the Chapter 11 Case, each of the
parties agrees to maintain this Term Sheet and this information strictly confidential,
and agrees to disclose it to no person other than: (i) the parties to the Plan
Support Agreement (ii) any person that has executed an accession and joinder to
the Confidentiality Agreement in the form appended thereto, (iii) the Bankruptcy
Court during the course of the Chapter 11 Case, provided , however, that no document
relating to the proposed transactions (including this Term Sheet) shall be filed
with the Bankruptcy Court (other than a motion, in form and substance acceptable
to the CHC Parties and the Milestone Parties, seeking protective order authority
to file this Term Sheet under seal, which motion shall not describe the specific
economic elements of the transaction) unless either (x) there has been obtained
prior to the filing thereof an order of the Bankruptcy Court acceptable to the
Milestone Parties enabling the CHC Parties to file such document under seal or
(y) portions of such filed documents mutually agreed upon by the CHC Parties and
the Milestone Parties are redacted, and (iv) the professional advisors of the
Committee on a confidential basis pursuant to a letter agreement entered into
with the Committee acceptable to the CHC Parties and Milestone setting forth a
protocol for disclosure including the information that can be disclosed generally
to the Committee and the information that is subject to limited disclosure to
only certain professional advisors to the Committee.'
- source_sentence: Anti-Assignment
sentences:
- Backhaul
- This agreement may not be assigned or delegated by Affiliate without prior written consent from Network 1.
- HealthGate will liaise with the Publishers, making available for such
purposes such HealthGate liaison staff as the Publishers may reasonably
require, and acting in all good faith, to ensure a mutually satisfactory
license to the Publishers or, at the Publishers' option, to a replacement
contractor.
- source_sentence: Notice Period To Terminate Renewal
sentences:
- After the initial period of two years, the maintenance and support contract
shall be automatically renewed for a period of one year on each renewal
date, unless one of the parties terminates the maintenance and support contract
through written notification to the other party in the form of a registered
letter with proof of receipt, at least six (6) weeks prior to the renewal
date.
- Any Transfer without such approval shall constitute a breach of this Agreement and
shall be void and of no effect.
- The Company shall do and perform, or cause to be done and performed, all such
further acts and things, and shall execute and deliver all such other agreements,
certificates, instruments and documents, as the MHR Funds may reasonably request
in order to carry out the intent and accomplish the purposes of this Agreement
and the consummation of the transactions contemplated hereby.
- source_sentence: Governing Law
sentences:
- In addition, the limitations in Section 23.1(b) will not apply (1) to Company's
indemnification obligations under Section 22.1(a) or (2) Allscripts indemnification
obligations under Section 22.3(a), unless the Company's or Allscripts' indemnification
obligation under Section 22.1(a) or 22.3(a), as the case may be, relates to the
losses and obligations described in subclauses (a) through (f) of the preceding
sentence. [***].
- 'THIS AGREEMENT SHALL BE GOVERNED BY AND CONSTRUED IN ACCORDANCE WITH THE INTERNAL
LAWS OF THE STATE OF NEW YORK APPLICABLE TO AGREEMENTS MADE AND TO BE PERFORMED
ENTIRELY WITHIN SUCH STATE, WITHOUT REGARD TO THE CONFLICTS OF LAW PRINCIPLES
OF SUCH STATE OTHER THAN SECTIONS 5-1401 OF THE NEW YORK GENERAL
OBLIGATIONS LAW.'
- All such records required to be created and maintained pursuant to Section 2.12(a)
shall be kept available at the Operator's office and made available for the Owner's
inspection upon request at all reasonable times.
- source_sentence: License Grant
sentences:
- SIERRA hereby grants ENVISION an exclusive, royalty-free sub-license
of the Product's future patents, and patent applications to distribute, sell and
market the Finished Product.
- Aucta should continue to receive 15% of Net Sales Royalty for as long as ETON
is selling the Product(s) in the Territory, unless otherwise agreed to under this
Agreement.
- In the event FCE notifies ExxonMobil that it has formally decided not to pursue
Generation 2 Technology for Power Applications, then upon ExxonMobil's written
request, FCE agrees to negotiate a grant to ExxonMobil and its Affiliates, under
commercially reasonable terms to be determined in good faith, a worldwide, royalty-bearing
(with the royalty to be negotiated), non-exclusive, sub-licensable right and license
to practice FCE Background Information and FCE Background Patents for Generation
2 Technology in any application outside of Carbon Capture Applications and Hydrogen
Applications.
pipeline_tag: sentence-similarity
library_name: sentence-transformers
---
# SentenceTransformer
This is a [sentence-transformers](https://www.SBERT.net) model trained. It maps sentences & paragraphs to a 1024-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:** [Unknown](https://huggingface.co/unknown) -->
- **Maximum Sequence Length:** 512 tokens
- **Output Dimensionality:** 1024 dimensions
- **Similarity Function:** Cosine Similarity
<!-- - **Training Dataset:** Unknown -->
<!-- - **Language:** Unknown -->
<!-- - **License:** Unknown -->
### Model Sources
- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)
### Full Model Architecture
```
SentenceTransformer(
(0): Transformer({'max_seq_length': 512, 'do_lower_case': False, 'architecture': 'XLMRobertaModel'})
(1): Pooling({'word_embedding_dimension': 1024, '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:
```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 = [
'License Grant',
"In the event FCE notifies ExxonMobil that it has formally decided not to pursue Generation 2 Technology for Power Applications, then upon ExxonMobil's written request, FCE agrees to negotiate a grant to ExxonMobil and its Affiliates, under commercially reasonable terms to be determined in good faith, a worldwide, royalty-bearing (with the royalty to be negotiated), non-exclusive, sub-licensable right and license to practice FCE Background Information and FCE Background Patents for Generation 2 Technology in any application outside of Carbon Capture Applications and Hydrogen Applications.",
'Aucta should continue to receive 15% of Net Sales Royalty for as long as ETON is selling the Product(s) in the Territory, unless otherwise agreed to under this Agreement.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 1024]
# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities)
# tensor([[1.0000, 0.7920, 0.3253],
# [0.7920, 1.0000, 0.4614],
# [0.3253, 0.4614, 1.0000]])
```
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</details>
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### Downstream Usage (Sentence Transformers)
You can finetune this model on your own dataset.
<details><summary>Click to expand</summary>
</details>
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### Out-of-Scope Use
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## Training Details
### Training Dataset
#### Unnamed Dataset
* Size: 16,129 training samples
* Columns: <code>sentence_0</code>, <code>sentence_1</code>, and <code>label</code>
* Approximate statistics based on the first 1000 samples:
| | sentence_0 | sentence_1 | label |
|:--------|:-----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|:--------------------------------------------------------------|
| type | string | string | float |
| details | <ul><li>min: 3 tokens</li><li>mean: 54.18 tokens</li><li>max: 512 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 95.75 tokens</li><li>max: 512 tokens</li></ul> | <ul><li>min: 1.0</li><li>mean: 1.0</li><li>max: 1.0</li></ul> |
* Samples:
| sentence_0 | sentence_1 | label |
|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------|
| <code>Parties</code> | <code>STARTEC GLOBAL COMMUNICATIONS CORPORATION</code> | <code>1.0</code> |
| <code>The proceeds of the Revolving Loans and the Swingline Loans, and the Letters of Credit, shall be used for general corporate purposes, including, but not limited to, repayment of any Indebtedness and to backstop the issuance of commercial paper.</code> | <code>Use the proceeds of the Loans and the Letters of Credit only as contemplated in Section 3.12 . The Borrower will not request any Borrowing, and the Borrower shall not use, and shall procure that its Subsidiaries and its or their respective directors, officers, employees and agents shall not use, the proceeds of any Borrowing (a) in furtherance of an offer, payment, promise to pay, or authorization of the payment or giving of money, or anything else of value, to any Person in violation of any Anti-Corruption Laws in any material respect, (b) for the purpose of funding, financing or facilitating any unauthorized activities, business or transaction of or with any Sanctioned Person, or in any Sanctioned Country, or (c) knowingly in any manner that would result in the violation of any Sanctions Laws applicable to any party hereto.</code> | <code>1.0</code> |
| <code>Governing Law</code> | <code>state.</code> | <code>1.0</code> |
* Loss: [<code>MultipleNegativesRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativesrankingloss) with these parameters:
```json
{
"scale": 20.0,
"similarity_fct": "cos_sim",
"gather_across_devices": false
}
```
### Training Hyperparameters
#### Non-Default Hyperparameters
- `per_device_train_batch_size`: 2
- `per_device_eval_batch_size`: 2
- `num_train_epochs`: 1
- `fp16`: True
- `multi_dataset_batch_sampler`: round_robin
#### All Hyperparameters
<details><summary>Click to expand</summary>
- `overwrite_output_dir`: False
- `do_predict`: False
- `eval_strategy`: no
- `prediction_loss_only`: True
- `per_device_train_batch_size`: 2
- `per_device_eval_batch_size`: 2
- `per_gpu_train_batch_size`: None
- `per_gpu_eval_batch_size`: None
- `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`: 1
- `max_steps`: -1
- `lr_scheduler_type`: linear
- `lr_scheduler_kwargs`: {}
- `warmup_ratio`: 0.0
- `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`: False
- `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_fused
- `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`: None
- `hub_always_push`: False
- `hub_revision`: None
- `gradient_checkpointing`: False
- `gradient_checkpointing_kwargs`: None
- `include_inputs_for_metrics`: False
- `include_for_metrics`: []
- `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
- `include_tokens_per_second`: False
- `include_num_input_tokens_seen`: False
- `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`: False
- `prompts`: None
- `batch_sampler`: batch_sampler
- `multi_dataset_batch_sampler`: round_robin
- `router_mapping`: {}
- `learning_rate_mapping`: {}
</details>
### Training Logs
| Epoch | Step | Training Loss |
|:------:|:----:|:-------------:|
| 0.0620 | 500 | 0.62 |
| 0.1240 | 1000 | 0.3153 |
| 0.1860 | 1500 | 0.2382 |
### Framework Versions
- Python: 3.12.11
- Sentence Transformers: 5.1.0
- Transformers: 4.55.4
- PyTorch: 2.8.0+cu126
- Accelerate: 1.10.1
- Datasets: 4.0.0
- Tokenizers: 0.21.4
## 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",
}
```
#### MultipleNegativesRankingLoss
```bibtex
@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}
}
```
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