---
base_model: BAAI/bge-base-en-v1.5
datasets: []
language:
- en
library_name: sentence-transformers
license: apache-2.0
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_ndcg@100
- cosine_mrr@10
- cosine_map@100
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:9000
- loss:MatryoshkaLoss
- loss:MultipleNegativesRankingLoss
widget:
- source_sentence: ' and Banking and Securities Services, and that helps us in FX,
in commodities and in rates around the world. So, Markets is important both in
terms of its leadership, but also, how it fits into the strengths that we have
from this simpler Citi of those five core interconnected businesses. We''ve demonstrated
solid returns in the past. I think a lot of the actions we''ve been taking will
help drive returns in the future. And you should be getting confidence when you
see the discipline we''re putting on to Copyright 2024 Citigroup Inc. 14 TRANSCRIPT
Citi Fourth Quarter 2023 Earnings Call January 12, 2024 RWA, 5.3, getting close
that target, we said at Investor Day. We''re moving that up to 6. The exits we''ve
got of nonstrategic businesses shows our focus on efficiency. And we''ve also
been doing some good investments in our technology, and that''s getting us into
a good place there. So'
sentences:
- What are the strengths and importance of Markets in terms of leadership and its
role in the interconnected businesses of Citigroup Inc?
- What are the additional resources available to help assess current finances and
plan for the future?
- ¿Puedo cerrar mi cuenta en cualquier momento y sin restricciones? ¿Qué sucede
si mi cuenta tiene un saldo de cero durante 90 días consecutivos? ¿Puedo obtener
copias de cheques cancelados o imágenes de los mismos en mi estado de cuenta?
¿Debo llamar a CitiPhone Banking para solicitar las imágenes de los cheques? ¿Existen
comisiones adicionales o cargos asociados con esto? ¿Puedo acceder a las imágenes
de los cheques en línea y imprimirlos sin ningún costo adicional en citibankonline.com?
- source_sentence: ' legal, investment, or financial advice and is not a substitute
for professional advice. It does not indicate the availability of any Citi product
or service. For advice about your specific circumstances, you should consult a
qualified professional. Additional Resources - ! Insights and Tools Utilize these
resources to help you assess your current finances plan for the future. - ! FICO
Score Learn how FICO Scores are determined, why they matter and more. - ! Glossary
Review financial terms definitions to help you better understand credit finances.
!Back to Top Back to Top !Equal housing lender Contact Us - Consumer: 1-800-347-4934
- Consumer TTY: 711 - Business: 1-866-422-3091 - Business TTY: 711 - LostStolen:
1-800-950-5114 - LostStolen TTY: 711 About Us - Locations - Careers - Site Map
Terms Conditions - Card Member Agreement - Security - Privacy - Notice At Collection
-'
sentences:
- What are the key steps in the tailor consultative process for wealth advisory
services to create a broad plan for the client's future?
- What are the benefits and program details of the American Airlines AAdvantage
MileUp Card? Can I earn AAdvantage miles for flights, upgrades, car rentals, hotel
stays, or vacation packages? How many AAdvantage miles can I earn at grocery stores,
including grocery delivery services? How many AAdvantage miles can I earn on eligible
American Airlines purchases? How many AAdvantage miles can I earn on all other
purchases? Can I earn loyalty points for eligible mile purchases? How many loyalty
points can I earn?
- What resources are available to help assess current finances and plan for the
future?
- source_sentence: ' Watchlist Alerts . 17 Delivery Settings and Hold Alerts for Brokerage
Alerts . 18 5. Electronic Delivery . 19 Add E-mail Addresses . 19 Set Up e-Delivery
for an Individual Account . 20 3 Set Up e-Delivery for Multiple Accounts using
Quick Enroll. 20 View Statements Reports. 21 View Trade Confirmations. 21 View
Tax Documents . 22 View Notifications . 22 6. Account Portfolio . 24 Overview
. 24 Portfolio Changes . 24 Quick Links . 25 Composition of Holdings . 25 Quick
Trade . 25 Open Orders Executed Trades . 25 Strong Weak Performers . 26 Portfolio
History . 26 News. 27 Balances . 28 Holdings . 29 Non Dollar transactions on Non
US exchanges valued at foreign currency of the exchange . 30 Realized GainLoss
. 32 History . 34 Projected Cash Flow. 35 7. Transact . 36 Trade Equities . '
sentences:
- What is the track record of the company in managing the risks associated with
its global network and what is its business model focused on?
- What are the watchlist alerts for brokerage alerts and how can electronic delivery
be set up for an individual account and multiple accounts using quick enroll?
How can statements reports, trade confirmations, tax documents, and notifications
be viewed? What is the overview of the account portfolio and how can portfolio
changes, quick links, composition of holdings, quick trades, open orders executed
trades, strong weak performers, portfolio history, news, balances, holdings, non-dollar
transactions on non-US exchanges valued at foreign currency of the exchange, realized
gain/loss, history, and projected cash flow be accessed? How can equities be traded?
- What does the EMV chip do and how does it work?
- source_sentence: . Los productos y servicios mencionados en este documento no se
ofrecen a individuos que residen en la Unin Europea, el Espacio Econmico Europeo,
Suiza, Guernsey, Jersey, Mnaco, Isla de Man, San Marino y el Vaticano. Su elegibilidad
para productos y servicios en particular est sujeta a una decisin definitiva de
nuestra parte. Este documento no es ni debe interpretarse como si fuera una oferta,
invitacin o solicitud para comprar o vender alguno de los productos y servicios
mencionados aqu a tales personas. 2020 Citibank, N.A., Miembro FDIC. Citi, Citi
con el Diseo del Arco y las otras marcas usadas en el presente documento son marcas
de servicio de Citigroup Inc. o sus filiales, usadas y registradas en todo el
mundo. Todos los derechos reservados. IFCBRO-0320SP Treasury
sentences:
- exime Citibank este cargo para cuentas Citigold cheques de diseo estndar para
todas Pedidos de chequeras, cheques oficiales, entrega rpida en el pas de tarjetas
de dbito de reemplazo, giro para clientes, cargos por investigacin y proceso de
verificacin consular o carta de referencia, cumplimiento de proceso legal y servicios
de cobranza. También exime Citibank este cargo para cuentas Citigold en el caso
de canje de cupones de bonos.
- What are the products and services mentioned in this document and where are they
offered? Can individuals residing in the European Union, the European Economic
Area, Switzerland, Guernsey, Jersey, Monaco, Isle of Man, San Marino, and the
Vatican avail these products and services? Is this document an offer, invitation,
or solicitation to buy or sell any of the mentioned products and services to such
individuals? Which organization owns the trademarks and service marks used in
this document?
- How can credit card points be redeemed for cash and what can the cash be used
for?
- source_sentence: ' Drive, Attn: Arbitration Opt Out, San Antonio, TX 78245. Your
rejection notice must be mailed within 45 days of account opening. Your rejection
notice must state that you reject the arbitration provision and include your name,
address, account number and personal signature. No one else may sign the rejection
notice. Your rejection notice will not apply to the arbitration provision governing
any other account that you have or had with us. Rejection of this arbitration
provision wont affect your other rights or responsibilities under this Agreement,
including use of the account. 68 Appendix 1: Fee Schedule The following Checkbook
Order Fee, Safe Deposit Fee, Fee Chart, and Wire Transfer Fee Chart are known
as the Fee Schedule. Unless otherwise stated, all fees described in the Fee Schedule
are charged to the account associated with the product or service. Checkbook Orders.
Fees will be charged for standard and Non-Standard checkbook orders. Non-Standard
Checkbook Orders include non-standard design, non-standard lettering'
sentences:
- How can I start building credit?
- What is the Annual Percentage Yield for the Citigold Private Client Pendant Exclusive
24K Gold Rabbit on the Moon or IL in the states of NY, CT, MD, VA, DC, CA, NV,
NJ and select markets in FL?
- What is the process for rejecting the arbitration provision and what information
should be included in the rejection notice?
model-index:
- name: SentenceTransformer based on BAAI/bge-base-en-v1.5
results:
- task:
type: information-retrieval
name: Information Retrieval
dataset:
name: dim 768
type: dim_768
metrics:
- type: cosine_accuracy@1
value: 0.524
name: Cosine Accuracy@1
- type: cosine_accuracy@3
value: 0.718
name: Cosine Accuracy@3
- type: cosine_accuracy@5
value: 0.7826666666666666
name: Cosine Accuracy@5
- type: cosine_accuracy@10
value: 0.848
name: Cosine Accuracy@10
- type: cosine_precision@1
value: 0.524
name: Cosine Precision@1
- type: cosine_precision@3
value: 0.23933333333333334
name: Cosine Precision@3
- type: cosine_precision@5
value: 0.1565333333333333
name: Cosine Precision@5
- type: cosine_precision@10
value: 0.08479999999999999
name: Cosine Precision@10
- type: cosine_recall@1
value: 0.524
name: Cosine Recall@1
- type: cosine_recall@3
value: 0.718
name: Cosine Recall@3
- type: cosine_recall@5
value: 0.7826666666666666
name: Cosine Recall@5
- type: cosine_recall@10
value: 0.848
name: Cosine Recall@10
- type: cosine_ndcg@10
value: 0.6849393771058847
name: Cosine Ndcg@10
- type: cosine_ndcg@100
value: 0.7108472738066071
name: Cosine Ndcg@100
- type: cosine_mrr@10
value: 0.6327346560846572
name: Cosine Mrr@10
- type: cosine_map@100
value: 0.638367026629088
name: Cosine Map@100
---
# SentenceTransformer based on BAAI/bge-base-en-v1.5
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [BAAI/bge-base-en-v1.5](https://huggingface.co/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](https://huggingface.co/BAAI/bge-base-en-v1.5)
- **Maximum Sequence Length:** 512 tokens
- **Output Dimensionality:** 768 tokens
- **Similarity Function:** Cosine Similarity
- **Language:** en
- **License:** apache-2.0
### 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': 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:
```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("MugheesAwan11/bge-base-citi-dataset-detailed-9k-1_5k-e1")
# Run inference
sentences = [
' Drive, Attn: Arbitration Opt Out, San Antonio, TX 78245. Your rejection notice must be mailed within 45 days of account opening. Your rejection notice must state that you reject the arbitration provision and include your name, address, account number and personal signature. No one else may sign the rejection notice. Your rejection notice will not apply to the arbitration provision governing any other account that you have or had with us. Rejection of this arbitration provision wont affect your other rights or responsibilities under this Agreement, including use of the account. 68 Appendix 1: Fee Schedule The following Checkbook Order Fee, Safe Deposit Fee, Fee Chart, and Wire Transfer Fee Chart are known as the Fee Schedule. Unless otherwise stated, all fees described in the Fee Schedule are charged to the account associated with the product or service. Checkbook Orders. Fees will be charged for standard and Non-Standard checkbook orders. Non-Standard Checkbook Orders include non-standard design, non-standard lettering',
'What is the process for rejecting the arbitration provision and what information should be included in the rejection notice?',
'What is the Annual Percentage Yield for the Citigold Private Client Pendant Exclusive 24K Gold Rabbit on the Moon or IL in the states of NY, CT, MD, VA, DC, CA, NV, NJ and select markets in FL?',
]
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](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator)
| Metric | Value |
|:--------------------|:-----------|
| cosine_accuracy@1 | 0.524 |
| cosine_accuracy@3 | 0.718 |
| cosine_accuracy@5 | 0.7827 |
| cosine_accuracy@10 | 0.848 |
| cosine_precision@1 | 0.524 |
| cosine_precision@3 | 0.2393 |
| cosine_precision@5 | 0.1565 |
| cosine_precision@10 | 0.0848 |
| cosine_recall@1 | 0.524 |
| cosine_recall@3 | 0.718 |
| cosine_recall@5 | 0.7827 |
| cosine_recall@10 | 0.848 |
| cosine_ndcg@10 | 0.6849 |
| cosine_ndcg@100 | 0.7108 |
| cosine_mrr@10 | 0.6327 |
| **cosine_map@100** | **0.6384** |
## Training Details
### Training Dataset
#### Unnamed Dataset
* Size: 9,000 training samples
* Columns: positive and anchor
* Approximate statistics based on the first 1000 samples:
| | positive | anchor |
|:--------|:--------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|
| type | string | string |
| details | - min: 152 tokens
- mean: 206.96 tokens
- max: 299 tokens
| - min: 9 tokens
- mean: 52.08 tokens
- max: 281 tokens
|
* Samples:
| positive | anchor |
|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| adverse effect on the value of any Index Linked Product. 15 Citi Investment Strategies Citi Flexible Allocation 6 Excess Return Index Index General Conditions Section D: Definitions 16 Citi Investment Strategies Citi Flexible Allocation 6 Excess Return Index Index General Conditions Definitions References to the "applicable Index Methodology" are references to the Index Methodology relating to the relevant Index which together with these Index General Conditions completes the Index Conditions for such Index. References to a "Section" shall be references to a section of these Index General Conditions. References to a "Part" shall be references to a part of the applicable Index Methodology. "Adjustment Event" shall, in respect of a Constituent, have the meaning given to it in the Constituent Schedule applicable to such Constituent. "Affected Constituent" shall have the meaning given to it in Section B . "Affiliate" shall mean, in respect of a person, any entity controlled by such person, any entity which controls | What is the meaning of "applicable Index Methodology" in the Index General Conditions? What does "Section" refer to in the Index General Conditions? How is "Part" defined in the applicable Index Methodology? What is the definition of "Adjustment Event" in relation to a Constituent? How is an "Affected Constituent" defined in Section B? What is the definition of "Affiliate" in relation to a person? |
| that the Depositary andor the Custodian may in the future identify from the balance of Shares on deposit in the DR program as belonging to the holders of DRs in the DR Balance on the basis of a full or partial reconciliation of the Share-to-DR imbalance created by the Automatic Conversions and Forced Conversions. The is no guarantee that any such reconciliation will be successful or that any such Shares will be available any time in the near or distant future, and as a result there is no indication that the DRs credited to the DR balance have, or will in the future have, any value. The creation of the DR Balance and any credit of DRs in the DR balance to a Beneficial Owner is purely an accommodation to the Beneficial Owner and does not represent any undertaking of any value or service. Neither the Depositary nor the Custodian undertake in any way to take any action on behalf of the holders of DRs credited to the DR balance to retrieve any Shares from third parties | What is the likelihood of the Depositary and/or the Custodian successfully reconciling the Share-to-DR imbalance in the DR program and identifying Shares belonging to DR holders in the DR Balance? Is there any guarantee of the availability or future value of these Shares? Are the DRs credited to the DR balance of any value? Does the creation of the DR Balance and credit of DRs to Beneficial Owners represent any commitment of value or service? Do the Depositary and the Custodian have any responsibility to retrieve Shares from third parties on behalf of DR holders credited to the DR balance? |
| of ways to save money while shopping online. Thats why a browser extension like Citi Shop can be a great addition to your online shopping experience. Lets look at how the Citi Shop extension works. Contact helpdeskciti.com What is the Citi Shop Browser Extension? Citi Shop is a free desktop browser extension you can download through the Chrome, Edge or Safari app stores. Once installed, enroll your eligible Citi credit card and let the Citi Shop program automatically search for available offers at more than 5,000 online merchants across the internet. How to Install the Citi Shop Browser Extension First, download the Citi Shop browser extension from the Chrome, Edge or Safari app store for your desktop browser. Once downloaded, you will be required to enroll your eligible Citi credit card. Contact helpdeskciti.com How to Use the Citi Shop Browser Extension Simply shop at your favorite online merchants. The Citi Shop program automatically searches behind the scenes to find money-saving offers percent | What is the Citi Shop Browser Extension and how does it work? How can I install the Citi Shop Browser Extension for my desktop browser? How do I use the Citi Shop Browser Extension to save money while shopping online? Who can I contact for help with the Citi Shop Browser Extension? |
* Loss: [MatryoshkaLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#matryoshkaloss) with these parameters:
```json
{
"loss": "MultipleNegativesRankingLoss",
"matryoshka_dims": [
768
],
"matryoshka_weights": [
1
],
"n_dims_per_step": -1
}
```
### Training Hyperparameters
#### Non-Default Hyperparameters
- `eval_strategy`: epoch
- `per_device_train_batch_size`: 32
- `per_device_eval_batch_size`: 16
- `learning_rate`: 2e-05
- `num_train_epochs`: 2
- `lr_scheduler_type`: cosine
- `warmup_ratio`: 0.1
- `bf16`: True
- `tf32`: True
- `load_best_model_at_end`: True
- `optim`: adamw_torch_fused
- `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`: 32
- `per_device_eval_batch_size`: 16
- `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`: 2
- `max_steps`: -1
- `lr_scheduler_type`: cosine
- `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`: True
- `fp16`: False
- `fp16_opt_level`: O1
- `half_precision_backend`: auto
- `bf16_full_eval`: False
- `fp16_full_eval`: False
- `tf32`: True
- `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_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`: 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