---
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:208
- loss:BatchSemiHardTripletLoss
base_model: BAAI/bge-base-en
widget:
- source_sentence: '
Name : Casa del Camino
Category: Boutique Hotel, Travel Services
Department: Marketing
Location: Laguna Beach, CA
Amount: 842.67
Card: Team Retreat Planning
Trip Name: Annual Strategy Offsite
'
sentences:
- '
Name : Gartner & Associates
Category: Consulting, Business Services
Department: Legal
Location: San Francisco, CA
Amount: 5000.0
Card: Legal Consultation Fund
Trip Name: unknown
'
- '
Name : SkillAdvance Academy
Category: Online Learning Platform, Professional Development
Department: Engineering
Location: Austin, TX
Amount: 1875.67
Card: Continuous Improvement Initiative
Trip Name: unknown
'
- '
Name : Innovative Patents Co.
Category: Intellectual Property Services, Legal Services
Department: Legal
Location: New York, NY
Amount: 3250.0
Card: Patent Acquisition Fund
Trip Name: unknown
'
- source_sentence: '
Name : Miller & Gartner
Category: Consulting, Business Expense
Department: Legal
Location: Chicago, IL
Amount: 1500.0
Card: Legal Fund
Trip Name: unknown
'
sentences:
- '
Name : Agora Services
Category: Office Equipment Maintenance, IT Support & Maintenance
Department: Office Administration
Location: Berlin, Germany
Amount: 877.29
Card: Quarterly Equipment Evaluation
Trip Name: unknown
'
- '
Name : InsightReports Group
Category: Research and Insights, Consulting Services
Department: Marketing
Location: New York, NY
Amount: 1499.89
Card: Market Research
Trip Name: unknown
'
- '
Name : Mosaic Technologies
Category: Cloud Solutions Provider, Data Analytics Platforms
Department: R&D
Location: Berlin, Germany
Amount: 1785.45
Card: AI Model Enhancement Project
Trip Name: unknown
'
- source_sentence: '
Name : Café Del Mar
Category: Catering Services, Event Planning
Department: Sales
Location: Barcelona, ES
Amount: 578.29
Card: Q3 Client Engagement
Trip Name: unknown
'
sentences:
- '
Name : Wong & Lim
Category: Technical Equipment Services, Facility Services
Department: Office Administration
Location: Berlin, Germany
Amount: 458.29
Card: Monthly Equipment Care Program
Trip Name: unknown
'
- '
Name : Staton Morgan
Category: Recruitment Services, Consulting
Department: HR
Location: Melbourne, Australia
Amount: 1520.67
Card: New Hires
Trip Name: unknown
'
- '
Name : Palace Suites
Category: Hotel Accommodation, Event Outsourcing
Department: Marketing
Location: Amsterdam, NL
Amount: 1278.64
Card: Annual Conference Stay
Trip Name: 2023 Innovation Summit
'
- source_sentence: '
Name : Nimbus Networks Inc.
Category: Cloud Services, Application Hosting
Department: Research & Development
Location: Austin, TX
Amount: 1134.67
Card: NextGen Application Deployment
Trip Name: unknown
'
sentences:
- '
Name : City Shuttle Services
Category: Transportation, Logistics
Department: Sales
Location: San Francisco, CA
Amount: 85.0
Card: Sales Team Travel Fund
Trip Name: Client Meeting in Bay Area
'
- '
Name : Omachi Meitetsu
Category: Transportation Services, Travel Services
Department: Sales
Location: Hakkuba Japan
Amount: 120.0
Card: Quarterly Travel Expenses
Trip Name: unknown
'
- '
Name : Clarion Data Solutions
Category: Cloud Computing & Data Storage Solutions, Consulting Services
Department: Engineering
Location: Berlin, Germany
Amount: 756.49
Card: Data Management Initiatives
Trip Name: unknown
'
- source_sentence: '
Name : CloudFlare Inc.
Category: Internet & Network Services, SaaS
Department: IT Operations
Location: New York, NY
Amount: 2000.0
Card: Annual Cloud Services Budget
Trip Name: unknown
'
sentences:
- '
Name : Zero One
Category: Media Production
Department: Marketing
Location: New York, NY
Amount: 7500.0
Card: Sales Operating Budget
Trip Name: unknown
'
- '
Name : Vitality Systems
Category: Facility Management, Health Services
Department: Office Administration
Location: Chicago, IL
Amount: 347.29
Card: Office Wellness Initiative
Trip Name: unknown
'
- '
Name : TechSavvy Solutions
Category: Software Services, Online Subscription
Department: Engineering
Location: Austin, TX
Amount: 1200.0
Card: Annual Engineering Tools Budget
Trip Name: unknown
'
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics:
- cosine_accuracy
model-index:
- name: SentenceTransformer based on BAAI/bge-base-en
results:
- task:
type: triplet
name: Triplet
dataset:
name: bge base en train
type: bge-base-en-train
metrics:
- type: cosine_accuracy
value: 0.8461538553237915
name: Cosine Accuracy
- task:
type: triplet
name: Triplet
dataset:
name: bge base en eval
type: bge-base-en-eval
metrics:
- type: cosine_accuracy
value: 0.39393940567970276
name: Cosine Accuracy
---
# SentenceTransformer based on BAAI/bge-base-en
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [BAAI/bge-base-en](https://huggingface.co/BAAI/bge-base-en). 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](https://huggingface.co/BAAI/bge-base-en)
- **Maximum Sequence Length:** 512 tokens
- **Output Dimensionality:** 768 dimensions
- **Similarity Function:** Cosine Similarity
### 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("ppuva1/finetuned-bge-base-en")
# Run inference
sentences = [
'\nName : CloudFlare Inc.\nCategory: Internet & Network Services, SaaS\nDepartment: IT Operations\nLocation: New York, NY\nAmount: 2000.0\nCard: Annual Cloud Services Budget\nTrip Name: unknown\n',
'\nName : TechSavvy Solutions\nCategory: Software Services, Online Subscription\nDepartment: Engineering\nLocation: Austin, TX\nAmount: 1200.0\nCard: Annual Engineering Tools Budget\nTrip Name: unknown\n',
'\nName : Vitality Systems\nCategory: Facility Management, Health Services\nDepartment: Office Administration\nLocation: Chicago, IL\nAmount: 347.29\nCard: Office Wellness Initiative\nTrip Name: unknown\n',
]
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
#### Triplet
* Datasets: `bge-base-en-train` and `bge-base-en-eval`
* Evaluated with [TripletEvaluator
](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.TripletEvaluator)
| Metric | bge-base-en-train | bge-base-en-eval |
|:--------------------|:------------------|:-----------------|
| **cosine_accuracy** | **0.8462** | **0.3939** |
## Training Details
### Training Dataset
#### Unnamed Dataset
* Size: 208 training samples
* Columns: sentence
and label
* Approximate statistics based on the first 208 samples:
| | sentence | label |
|:--------|:-----------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| type | string | int |
| details |
Name : Transcend
Category: Upskilling
Department: Human Resource
Location: London, UK
Amount: 859.47
Card: Technology Skills Enhancement
Trip Name: unknown
| 0
|
|
Name : Ayden
Category: Financial Software
Department: Finance
Location: Berlin, DE
Amount: 1273.45
Card: Enterprise Technology Services
Trip Name: unknown
| 1
|
|
Name : Urban Sphere
Category: Utilities Management, Facility Services
Department: Office Administration
Location: New York, NY
Amount: 937.32
Card: Monthly Operations Budget
Trip Name: unknown
| 2
|
* Loss: [BatchSemiHardTripletLoss
](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#batchsemihardtripletloss)
### Evaluation Dataset
#### Unnamed Dataset
* Size: 52 evaluation samples
* Columns: sentence
and label
* Approximate statistics based on the first 52 samples:
| | sentence | label |
|:--------|:-----------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| type | string | int |
| details |
Name : Tooly
Category: Survey Software, SaaS
Department: Marketing
Location: San Francisco, CA
Amount: 2000.0
Card: Annual Marketing Technology Budget
Trip Name: unknown
| 10
|
|
Name : CloudFlare Inc.
Category: Internet & Network Services, SaaS
Department: IT Operations
Location: New York, NY
Amount: 2000.0
Card: Annual Cloud Services Budget
Trip Name: unknown
| 21
|
|
Name : Gartner & Associates
Category: Consulting, Business Services
Department: Legal
Location: San Francisco, CA
Amount: 5000.0
Card: Legal Consultation Fund
Trip Name: unknown
| 5
|
* Loss: [BatchSemiHardTripletLoss
](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#batchsemihardtripletloss)
### Training Hyperparameters
#### Non-Default Hyperparameters
- `eval_strategy`: steps
- `per_device_train_batch_size`: 16
- `per_device_eval_batch_size`: 16
- `learning_rate`: 2e-05
- `num_train_epochs`: 5
- `warmup_ratio`: 0.1
- `batch_sampler`: no_duplicates
#### All Hyperparameters