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---
library_name: setfit
tags:
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
metrics:
- accuracy
widget:
- text: frais douane import vehicule usa carte usd commission
- text: prlv sepa soins veterinaires urgences
- text: virement recu vente local commercial nice carte
- text: achat académie dressage canin carte
- text: facture carte du adobe creative cloud photo carte
pipeline_tag: text-classification
inference: true
model-index:
- name: SetFit
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: Unknown
type: unknown
split: test
metrics:
- type: accuracy
value: 0.25
name: Accuracy
---
# SetFit
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
The model has been trained using an efficient few-shot learning technique that involves:
1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
2. Training a classification head with features from the fine-tuned Sentence Transformer.
## Model Details
### Model Description
- **Model Type:** SetFit
<!-- - **Sentence Transformer:** [Unknown](https://huggingface.co/unknown) -->
- **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
- **Maximum Sequence Length:** 128 tokens
- **Number of Classes:** 44 classes
<!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
<!-- - **Language:** Unknown -->
<!-- - **License:** Unknown -->
### Model Sources
- **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
- **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
### Model Labels
| Label | Examples |
|:-------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------|
| Shopping / electronics & multimedia | <ul><li>'achat dji technology carte chn'</li><li>'facture carte samsung paris opera carte'</li></ul> |
| Other / kids | <ul><li>'virement sortant cadeau anniversaire neveu'</li><li>'paiement carte lunapark family fun carte'</li></ul> |
| Bank services / other | <ul><li>'paiement frais demande rib iban supplémentaires carte'</li><li>'frais changement de pin carte'</li></ul> |
| Housing / rent | <ul><li>'paiement loyer rue des oliviers carte'</li><li>'sepa regl loyer resid les ormeaux carte'</li></ul> |
| Transportation / other | <ul><li>'parking aeroport charles de gaulle carte'</li><li>'frais douane import vehicule usa carte usd commission'</li></ul> |
| Bank services / transfers | <ul><li>'transfer location vacances famille roux carte'</li><li>'virement sepa entrant de loyer mars carte'</li></ul> |
| Investment / retirement & savings | <ul><li>'alimentation plan epargne logement carte'</li><li>'allocation retraite complémentaire carte'</li></ul> |
| Other / taxes | <ul><li>'contribution economique territoriale siret frcte'</li><li>'taxe apprentissage siret frapp'</li></ul> |
| Healthy & Beauty / other | <ul><li>'adhésion club randonnée plein air'</li><li>'achat en ligne produits aromatherapie naturesence carte'</li></ul> |
| Investment / securities | <ul><li>'investissement silver etf carte silver oz'</li><li>'transaction actions netflix carte usd'</li></ul> |
| Housing / other | <ul><li>'virement recu du remboursement depot de garantie'</li><li>'prlv sepa du alarmes securitas direct'</li></ul> |
| Housing / house loan | <ul><li>'solde emprunt habitat fortuneo pret'</li><li>'prelevement sepa pret habitation hsbc france'</li></ul> |
| Housing / utilities & bills | <ul><li>'prlv sepa grdf'</li><li>'prlv sepa total direct energie elec'</li></ul> |
| Bank services / general fees | <ul><li>'frais opposition cheque perdu'</li><li>'frais de gestion portefeuille titres'</li></ul> |
| Leisure & Entertainment / culture & events | <ul><li>'prlv sepa cinema cgr lille'</li><li>'achat carte festival rock en seine carte'</li></ul> |
| Transportation / taxi & carpool | <ul><li>'prlv sepa blablacar carte'</li><li>'facture carte du kakao taxi seoul carte kor krw commission'</li></ul> |
| Shopping / other | <ul><li>'achat coffrets cadeaux pandore carte'</li><li>'facture carte du magasin l unique montpellier carte'</li></ul> |
| Recurrent Payments / loans | <ul><li>'retrait auto emma pret familial emmaprt carte'</li><li>'paiement échéance axa pret professionnel carte'</li></ul> |
| Healthy & Beauty / doctor fees | <ul><li>'facture carte du dr pierre neurologue carte'</li><li>'facture carte du dr marchand orthopediste carte'</li></ul> |
| Bank services / withdrawal | <ul><li>'retrait dab banque express toulouse carte fr'</li><li>'retrait dab ecobanque lyon carte fr'</li></ul> |
| Other / other | <ul><li>'facture carte du cinema rexy paris carte'</li><li>'don association sos villages enfants'</li></ul> |
| Healthy & Beauty / pharmacy | <ul><li>'prlv sepa pharmacie azureech'</li><li>'debit carte pharmacie grand ciel carte'</li></ul> |
| Transportation / fuel | <ul><li>'facture carte du total energies paris carte'</li><li>'prlv sepa du q bruxelles carte bel'</li></ul> |
| Shopping / sporting goods | <ul><li>'pmt carte fitnessboutique lyon carte'</li><li>'paiement carte go sport montpellier carte'</li></ul> |
| Food & Drinks / groceries | <ul><li>'facture carte du magasin asiatique lee carte'</li><li>'debit charcuterie gourmets carte'</li></ul> |
| Other / pets | <ul><li>'prlv sepa soins veterinaires urgences'</li><li>'achat académie dressage canin carte'</li></ul> |
| Investment / real estate | <ul><li>'virement sortant investissement immobilier crowdfunding carte'</li><li>'virement recu vente local commercial nice carte'</li></ul> |
| Shopping / clothing | <ul><li>'achat decathlon carte'</li><li>'achat carte nike store carte usa usd commission'</li></ul> |
| Shopping / housing equipment | <ul><li>'facture carte du conforama montpellier carte'</li><li>'paiement par carte ambiances matieres marseille carte'</li></ul> |
| Transportation / maitenance | <ul><li>'facture du vitres teintees luxe bordeaux carte'</li><li>'debit du garage turbo moteurs strasbourg carte remise a neuf'</li></ul> |
| Recurrent Payments / other | <ul><li>'abonnement annuel magazine interstellar transaction date'</li><li>'cotisation annuelle club échecs rois et pions date'</li></ul> |
| Recurrent Payments / insurance | <ul><li>'prelevement sepa assurance multirisque pro mma'</li><li>'prélèvement mensuel assurance collective cnp'</li></ul> |
| Healthy & Beauty / veterinary | <ul><li>'deworming petcare lyon carte'</li><li>'prlv sepa hospital vet duval limoges'</li></ul> |
| Transportation / public transportation | <ul><li>'achat titres v ville de lille carte'</li><li>'abonnement tram strasbourg cts carte'</li></ul> |
| Healthy & Beauty / beauty & self-care | <ul><li>'prlv sepa abonnement biotyfull box'</li><li>'facture carte du mac cosmetics nice carte'</li></ul> |
| Leisure & Entertainment / other | <ul><li>'paiement en ligne du amazon prime video carte usa'</li><li>'facture carte du spotify premium carte usa'</li></ul> |
| Food & Drinks / eating out | <ul><li>'facture carte du cafe de flore carte'</li><li>'facture carte du mcdonald s carte usa usd commission'</li></ul> |
| Housing / services & maintenance | <ul><li>'prlv sepa electricite generale flash'</li><li>'virement recu soldes tuyauterie moderne'</li></ul> |
| Leisure & Entertainment / travel | <ul><li>'prlv sepa eurostar'</li><li>'achat carte hertz location carte usa usd commission'</li></ul> |
| Leisure & Entertainment / sports & hobbies | <ul><li>'paiement en ligne du adidas fr carte'</li><li>'facture carte du culture velo lyon carte'</li></ul> |
| Investment / other | <ul><li>'souscription part sociale coop biolocal'</li><li>'participation crowdfunding waterclean projet'</li></ul> |
| Transportation / car loan & leasing | <ul><li>'virement mensualite bmw x debmwx'</li><li>'prlv sepa dacia lodgy crdit auto'</li></ul> |
| Recurrent Payments / subscription | <ul><li>'prlv sepa microsoft office svc carte'</li><li>'facture carte du adobe creative cloud photo carte'</li></ul> |
| Food & Drinks / other | <ul><li>'facture carte du café de flore carte'</li><li>'debit carte caviste le grand cru carte'</li></ul> |
## Evaluation
### Metrics
| Label | Accuracy |
|:--------|:---------|
| **all** | 0.25 |
## Uses
### Direct Use for Inference
First install the SetFit library:
```bash
pip install setfit
```
Then you can load this model and run inference.
```python
from setfit import SetFitModel
# Download from the 🤗 Hub
model = SetFitModel.from_pretrained("HEN10/setfit-particular-transaction-solon-embeddings-labels-large-kaggle-automatisation-v1")
# Run inference
preds = model("achat académie dressage canin carte")
```
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## Training Details
### Training Set Metrics
| Training set | Min | Median | Max |
|:-------------|:----|:-------|:----|
| Word count | 3 | 6.0455 | 10 |
| Label | Training Sample Count |
|:-------------------------------------------|:----------------------|
| Housing / rent | 2 |
| Housing / house loan | 2 |
| Housing / utilities & bills | 2 |
| Housing / services & maintenance | 2 |
| Housing / other | 2 |
| Food & Drinks / groceries | 2 |
| Food & Drinks / eating out | 2 |
| Food & Drinks / other | 2 |
| Leisure & Entertainment / sports & hobbies | 2 |
| Leisure & Entertainment / culture & events | 2 |
| Leisure & Entertainment / travel | 2 |
| Leisure & Entertainment / other | 2 |
| Transportation / car loan & leasing | 2 |
| Transportation / fuel | 2 |
| Transportation / public transportation | 2 |
| Transportation / taxi & carpool | 2 |
| Transportation / maitenance | 2 |
| Transportation / other | 2 |
| Recurrent Payments / loans | 2 |
| Recurrent Payments / insurance | 2 |
| Recurrent Payments / subscription | 2 |
| Recurrent Payments / other | 2 |
| Investment / securities | 2 |
| Investment / retirement & savings | 2 |
| Investment / real estate | 2 |
| Investment / other | 2 |
| Shopping / clothing | 2 |
| Shopping / electronics & multimedia | 2 |
| Shopping / sporting goods | 2 |
| Shopping / housing equipment | 2 |
| Shopping / other | 2 |
| Healthy & Beauty / doctor fees | 2 |
| Healthy & Beauty / pharmacy | 2 |
| Healthy & Beauty / beauty & self-care | 2 |
| Healthy & Beauty / veterinary | 2 |
| Healthy & Beauty / other | 2 |
| Bank services / transfers | 2 |
| Bank services / withdrawal | 2 |
| Bank services / general fees | 2 |
| Bank services / other | 2 |
| Other / taxes | 2 |
| Other / kids | 2 |
| Other / pets | 2 |
| Other / other | 2 |
### Training Hyperparameters
- batch_size: (16, 16)
- num_epochs: (1, 1)
- max_steps: -1
- sampling_strategy: oversampling
- body_learning_rate: (2e-05, 1e-05)
- head_learning_rate: 0.01
- loss: CosineSimilarityLoss
- distance_metric: cosine_distance
- margin: 0.25
- end_to_end: True
- use_amp: False
- warmup_proportion: 0.1
- seed: 6
- eval_max_steps: -1
- load_best_model_at_end: False
### Training Results
| Epoch | Step | Training Loss | Validation Loss |
|:------:|:----:|:-------------:|:---------------:|
| 0.0021 | 1 | 0.1662 | - |
| 0.1057 | 50 | 0.1483 | - |
| 0.2114 | 100 | 0.0681 | - |
| 0.3171 | 150 | 0.0298 | - |
| 0.4228 | 200 | 0.0245 | - |
| 0.5285 | 250 | 0.0117 | - |
| 0.6342 | 300 | 0.032 | - |
| 0.7400 | 350 | 0.0112 | - |
| 0.8457 | 400 | 0.0072 | - |
| 0.9514 | 450 | 0.0176 | - |
### Framework Versions
- Python: 3.10.13
- SetFit: 1.0.3
- Sentence Transformers: 2.6.1
- Transformers: 4.39.3
- PyTorch: 2.1.2
- Datasets: 2.17.0
- Tokenizers: 0.15.2
## Citation
### BibTeX
```bibtex
@article{https://doi.org/10.48550/arxiv.2209.11055,
doi = {10.48550/ARXIV.2209.11055},
url = {https://arxiv.org/abs/2209.11055},
author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Efficient Few-Shot Learning Without Prompts},
publisher = {arXiv},
year = {2022},
copyright = {Creative Commons Attribution 4.0 International}
}
```
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