Push model using huggingface_hub.
Browse files- README.md +65 -65
- config_setfit.json +2 -2
- model.safetensors +1 -1
- model_head.pkl +1 -1
README.md
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@@ -9,10 +9,10 @@ metrics:
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- accuracy
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widget:
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- text: frais douane import vehicule usa carte usd commission
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- text:
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- text:
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- text: achat
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pipeline_tag: text-classification
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inference: true
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model-index:
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split: test
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metrics:
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- type: accuracy
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value: 0.
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name: Accuracy
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---
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@@ -59,59 +59,59 @@ The model has been trained using an efficient few-shot learning technique that i
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- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
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### Model Labels
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| Label | Examples
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-
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| Shopping / electronics & multimedia | <ul><li>'achat
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| Other / kids | <ul><li>'
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| Bank services / other | <ul><li>'paiement frais demande rib iban supplémentaires carte'</li><li>'frais
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| Housing / rent | <ul><li>'paiement loyer
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| Transportation / other | <ul><li>'
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-
| Bank services / transfers | <ul><li>'
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-
| Investment / retirement & savings | <ul><li>'
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-
| Other / taxes | <ul><li>'contribution
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-
| Healthy & Beauty / other | <ul><li>'
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-
| Investment / securities | <ul><li>'
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-
| Housing / other | <ul><li>'
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-
| Housing / house loan | <ul><li>'
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-
| Housing / utilities & bills | <ul><li>'prlv sepa
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| Bank services / general fees | <ul><li>'frais
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-
| Leisure & Entertainment / culture & events | <ul><li>'
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| Transportation / taxi & carpool | <ul><li>'prlv sepa
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-
| Shopping / other | <ul><li>'
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| Recurrent Payments / loans | <ul><li>'retrait auto emma pret familial emmaprt carte'</li><li>'
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| Healthy & Beauty / doctor fees | <ul><li>'
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| Bank services / withdrawal | <ul><li>'retrait dab banque express toulouse carte fr'</li><li>'retrait dab
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| Other / other | <ul><li>'
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-
| Healthy & Beauty / pharmacy | <ul><li>'
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-
| Transportation / fuel | <ul><li>'
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-
| Shopping / sporting goods | <ul><li>'
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-
| Food & Drinks / groceries | <ul><li>'
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| Other / pets | <ul><li>'
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-
| Investment / real estate | <ul><li>'
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| Shopping / clothing | <ul><li>'achat
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-
| Shopping / housing equipment | <ul><li>'
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| Transportation / maitenance | <ul><li>'facture
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| Recurrent Payments / other | <ul><li>'
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| Recurrent Payments / insurance | <ul><li>'prelevement sepa assurance multirisque pro mma'</li><li>'prélèvement mensuel assurance collective cnp'</li></ul>
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| Healthy & Beauty / veterinary | <ul><li>'
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| Transportation / public transportation | <ul><li>'achat titres v ville de lille carte'</li><li>'
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| Healthy & Beauty / beauty & self-care | <ul><li>'
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| Leisure & Entertainment / other | <ul><li>'
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| Food & Drinks / eating out | <ul><li>'facture carte du
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| Housing / services & maintenance | <ul><li>'
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| Leisure & Entertainment / travel | <ul><li>'prlv sepa eurostar'</li><li>'
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| Leisure & Entertainment / sports & hobbies | <ul><li>'paiement en ligne du
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| Investment / other | <ul><li>'
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-
| Transportation / car loan & leasing | <ul><li>'
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| Recurrent Payments / subscription | <ul><li>'
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| Food & Drinks / other | <ul><li>'
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## Evaluation
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### Metrics
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| Label | Accuracy |
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|:--------|:---------|
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-
| **all** | 0.
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## Uses
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@@ -131,7 +131,7 @@ from setfit import SetFitModel
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# Download from the 🤗 Hub
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model = SetFitModel.from_pretrained("HEN10/setfit-particular-transaction-solon-embeddings-labels-large-kaggle-automatisation-v1")
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# Run inference
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-
preds = model("achat
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```
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<!--
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### Training Set Metrics
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| Training set | Min | Median | Max |
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|:-------------|:----|:-------|:----|
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-
| Word count | 3 | 6.
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| Label | Training Sample Count |
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|:-------------------------------------------|:----------------------|
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### Training Results
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| Epoch | Step | Training Loss | Validation Loss |
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|:------:|:----:|:-------------:|:---------------:|
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-
| 0.0021 | 1 | 0.
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-
| 0.1057 | 50 | 0.
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-
| 0.2114 | 100 | 0.
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-
| 0.3171 | 150 | 0.
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-
| 0.4228 | 200 | 0.
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-
| 0.5285 | 250 | 0.
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-
| 0.6342 | 300 | 0.
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| 0.7400 | 350 | 0.
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| 0.8457 | 400 | 0.
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-
| 0.9514 | 450 | 0.
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### Framework Versions
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- Python: 3.10.13
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- SetFit: 1.0.3
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- Sentence Transformers: 2.6.1
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- Transformers: 4.39.3
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-
- PyTorch: 2.1.2
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- Datasets: 2.17.0
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- Tokenizers: 0.15.2
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- accuracy
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widget:
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- text: frais douane import vehicule usa carte usd commission
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- text: prlv sepa soins veterinaires urgences
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- text: virement recu vente local commercial nice carte
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- text: achat académie dressage canin carte
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- text: facture carte du adobe creative cloud photo carte
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pipeline_tag: text-classification
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inference: true
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model-index:
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split: test
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metrics:
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- type: accuracy
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value: 0.25
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name: Accuracy
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---
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| 33 |
|
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|
| 59 |
- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
|
| 60 |
|
| 61 |
### Model Labels
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| 62 |
+
| Label | Examples |
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|:-------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------|
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+
| Shopping / electronics & multimedia | <ul><li>'achat dji technology carte chn'</li><li>'facture carte samsung paris opera carte'</li></ul> |
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+
| Other / kids | <ul><li>'virement sortant cadeau anniversaire neveu'</li><li>'paiement carte lunapark family fun carte'</li></ul> |
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| Bank services / other | <ul><li>'paiement frais demande rib iban supplémentaires carte'</li><li>'frais changement de pin carte'</li></ul> |
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+
| Housing / rent | <ul><li>'paiement loyer rue des oliviers carte'</li><li>'sepa regl loyer resid les ormeaux carte'</li></ul> |
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| Transportation / other | <ul><li>'parking aeroport charles de gaulle carte'</li><li>'frais douane import vehicule usa carte usd commission'</li></ul> |
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| Bank services / transfers | <ul><li>'transfer location vacances famille roux carte'</li><li>'virement sepa entrant de loyer mars carte'</li></ul> |
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| Investment / retirement & savings | <ul><li>'alimentation plan epargne logement carte'</li><li>'allocation retraite complémentaire carte'</li></ul> |
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| Other / taxes | <ul><li>'contribution economique territoriale siret frcte'</li><li>'taxe apprentissage siret frapp'</li></ul> |
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| Healthy & Beauty / other | <ul><li>'adhésion club randonnée plein air'</li><li>'achat en ligne produits aromatherapie naturesence carte'</li></ul> |
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| Investment / securities | <ul><li>'investissement silver etf carte silver oz'</li><li>'transaction actions netflix carte usd'</li></ul> |
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| Housing / other | <ul><li>'virement recu du remboursement depot de garantie'</li><li>'prlv sepa du alarmes securitas direct'</li></ul> |
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| Housing / house loan | <ul><li>'solde emprunt habitat fortuneo pret'</li><li>'prelevement sepa pret habitation hsbc france'</li></ul> |
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| Housing / utilities & bills | <ul><li>'prlv sepa grdf'</li><li>'prlv sepa total direct energie elec'</li></ul> |
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| Bank services / general fees | <ul><li>'frais opposition cheque perdu'</li><li>'frais de gestion portefeuille titres'</li></ul> |
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| Leisure & Entertainment / culture & events | <ul><li>'prlv sepa cinema cgr lille'</li><li>'achat carte festival rock en seine carte'</li></ul> |
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| Transportation / taxi & carpool | <ul><li>'prlv sepa blablacar carte'</li><li>'facture carte du kakao taxi seoul carte kor krw commission'</li></ul> |
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| Shopping / other | <ul><li>'achat coffrets cadeaux pandore carte'</li><li>'facture carte du magasin l unique montpellier carte'</li></ul> |
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| Recurrent Payments / loans | <ul><li>'retrait auto emma pret familial emmaprt carte'</li><li>'paiement échéance axa pret professionnel carte'</li></ul> |
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+
| Healthy & Beauty / doctor fees | <ul><li>'facture carte du dr pierre neurologue carte'</li><li>'facture carte du dr marchand orthopediste carte'</li></ul> |
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| Bank services / withdrawal | <ul><li>'retrait dab banque express toulouse carte fr'</li><li>'retrait dab ecobanque lyon carte fr'</li></ul> |
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| Other / other | <ul><li>'facture carte du cinema rexy paris carte'</li><li>'don association sos villages enfants'</li></ul> |
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| Healthy & Beauty / pharmacy | <ul><li>'prlv sepa pharmacie azureech'</li><li>'debit carte pharmacie grand ciel carte'</li></ul> |
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| Transportation / fuel | <ul><li>'facture carte du total energies paris carte'</li><li>'prlv sepa du q bruxelles carte bel'</li></ul> |
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| Shopping / sporting goods | <ul><li>'pmt carte fitnessboutique lyon carte'</li><li>'paiement carte go sport montpellier carte'</li></ul> |
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| Food & Drinks / groceries | <ul><li>'facture carte du magasin asiatique lee carte'</li><li>'debit charcuterie gourmets carte'</li></ul> |
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| Other / pets | <ul><li>'prlv sepa soins veterinaires urgences'</li><li>'achat académie dressage canin carte'</li></ul> |
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| Investment / real estate | <ul><li>'virement sortant investissement immobilier crowdfunding carte'</li><li>'virement recu vente local commercial nice carte'</li></ul> |
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| Shopping / clothing | <ul><li>'achat decathlon carte'</li><li>'achat carte nike store carte usa usd commission'</li></ul> |
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| Shopping / housing equipment | <ul><li>'facture carte du conforama montpellier carte'</li><li>'paiement par carte ambiances matieres marseille carte'</li></ul> |
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| 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> |
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| Recurrent Payments / other | <ul><li>'abonnement annuel magazine interstellar transaction date'</li><li>'cotisation annuelle club échecs rois et pions date'</li></ul> |
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| Recurrent Payments / insurance | <ul><li>'prelevement sepa assurance multirisque pro mma'</li><li>'prélèvement mensuel assurance collective cnp'</li></ul> |
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| 96 |
+
| Healthy & Beauty / veterinary | <ul><li>'deworming petcare lyon carte'</li><li>'prlv sepa hospital vet duval limoges'</li></ul> |
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| Transportation / public transportation | <ul><li>'achat titres v ville de lille carte'</li><li>'abonnement tram strasbourg cts carte'</li></ul> |
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| Healthy & Beauty / beauty & self-care | <ul><li>'prlv sepa abonnement biotyfull box'</li><li>'facture carte du mac cosmetics nice carte'</li></ul> |
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| 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> |
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| 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> |
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| Housing / services & maintenance | <ul><li>'prlv sepa electricite generale flash'</li><li>'virement recu soldes tuyauterie moderne'</li></ul> |
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| Leisure & Entertainment / travel | <ul><li>'prlv sepa eurostar'</li><li>'achat carte hertz location carte usa usd commission'</li></ul> |
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| Leisure & Entertainment / sports & hobbies | <ul><li>'paiement en ligne du adidas fr carte'</li><li>'facture carte du culture velo lyon carte'</li></ul> |
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| Investment / other | <ul><li>'souscription part sociale coop biolocal'</li><li>'participation crowdfunding waterclean projet'</li></ul> |
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| Transportation / car loan & leasing | <ul><li>'virement mensualite bmw x debmwx'</li><li>'prlv sepa dacia lodgy crdit auto'</li></ul> |
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| Recurrent Payments / subscription | <ul><li>'prlv sepa microsoft office svc carte'</li><li>'facture carte du adobe creative cloud photo carte'</li></ul> |
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| 107 |
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| Food & Drinks / other | <ul><li>'facture carte du café de flore carte'</li><li>'debit carte caviste le grand cru carte'</li></ul> |
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## Evaluation
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### Metrics
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| Label | Accuracy |
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|:--------|:---------|
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+
| **all** | 0.25 |
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## Uses
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| 117 |
|
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# Download from the 🤗 Hub
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model = SetFitModel.from_pretrained("HEN10/setfit-particular-transaction-solon-embeddings-labels-large-kaggle-automatisation-v1")
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# Run inference
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preds = model("achat académie dressage canin carte")
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```
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<!--
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### Training Set Metrics
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| Training set | Min | Median | Max |
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|:-------------|:----|:-------|:----|
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+
| Word count | 3 | 6.0455 | 10 |
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| Label | Training Sample Count |
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|:-------------------------------------------|:----------------------|
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### Training Results
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| Epoch | Step | Training Loss | Validation Loss |
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|:------:|:----:|:-------------:|:---------------:|
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| 0.0021 | 1 | 0.1662 | - |
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| 0.1057 | 50 | 0.1483 | - |
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| 0.2114 | 100 | 0.0681 | - |
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| 0.3171 | 150 | 0.0298 | - |
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| 0.4228 | 200 | 0.0245 | - |
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| 0.5285 | 250 | 0.0117 | - |
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| 0.6342 | 300 | 0.032 | - |
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| 0.7400 | 350 | 0.0112 | - |
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| 0.8457 | 400 | 0.0072 | - |
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| 0.9514 | 450 | 0.0176 | - |
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### Framework Versions
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- Python: 3.10.13
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- SetFit: 1.0.3
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- Sentence Transformers: 2.6.1
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| 250 |
- Transformers: 4.39.3
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| 251 |
+
- PyTorch: 2.1.2
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| 252 |
- Datasets: 2.17.0
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| 253 |
- Tokenizers: 0.15.2
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config_setfit.json
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{
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"normalize_embeddings": false,
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"labels": [
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"Housing / rent",
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"Housing / house loan",
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"Other / kids",
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"Other / pets",
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"Other / other"
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-
]
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}
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{
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"labels": [
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"Housing / rent",
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"Housing / house loan",
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"Other / kids",
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"Other / pets",
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"Other / other"
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],
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"normalize_embeddings": false
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 133462128
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version https://git-lfs.github.com/spec/v1
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oid sha256:a56c0ff511916ff3b6b64ea21040db22d57cda9700fd49779f449ee505ca98ee
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size 133462128
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model_head.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 143927
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version https://git-lfs.github.com/spec/v1
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oid sha256:021214ccfed83e4f39b2f0fbc202c6a37dbcb57a20c28c560a84d3ed538705c7
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size 143927
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