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HEN10
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setfit-particular-transaction-solon-embeddings-labels-large-v4

Text Classification
setfit
Safetensors
sentence-transformers
xlm-roberta
generated_from_setfit_trainer
Eval Results
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  1. .gitattributes +1 -0
  2. 1_Pooling/config.json +10 -0
  3. README.md +862 -0
  4. config.json +28 -0
  5. config_sentence_transformers.json +9 -0
  6. config_setfit.json +49 -0
  7. model.safetensors +3 -0
  8. model_head.pkl +3 -0
  9. modules.json +20 -0
  10. sentence_bert_config.json +4 -0
  11. sentencepiece.bpe.model +3 -0
  12. special_tokens_map.json +51 -0
  13. tokenizer.json +3 -0
  14. tokenizer_config.json +55 -0
.gitattributes CHANGED
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
1_Pooling/config.json ADDED
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+ "pooling_mode_max_tokens": false,
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+ "pooling_mode_weightedmean_tokens": false,
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+ "pooling_mode_lasttoken": false,
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+ "include_prompt": true
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+ }
README.md ADDED
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+ ---
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+ library_name: setfit
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+ tags:
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+ - setfit
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+ - sentence-transformers
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+ - text-classification
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+ - generated_from_setfit_trainer
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+ metrics:
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+ - accuracy
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+ widget:
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+ - text: prlv sepa ecole montaigne cotisation scolaire
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+ - text: facture carte du pharmacie pont neuf carte
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+ - text: virement sortant facture soleil energie
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+ - text: leçon de surf hossegor surf club carte
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+ - text: virement initie application mobile vers comptes joints
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+ pipeline_tag: text-classification
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+ inference: true
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+ model-index:
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+ - name: SetFit
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+ results:
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+ - task:
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+ type: text-classification
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+ name: Text Classification
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+ dataset:
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+ name: Unknown
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+ type: unknown
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+ split: test
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+ metrics:
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+ - type: accuracy
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+ value: 0.7007575757575758
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+ name: Accuracy
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+ ---
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+
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+ # SetFit
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+
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+ 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.
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+
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+ The model has been trained using an efficient few-shot learning technique that involves:
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+
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+ 1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
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+ 2. Training a classification head with features from the fine-tuned Sentence Transformer.
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+
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+ ## Model Details
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+
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+ ### Model Description
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+ - **Model Type:** SetFit
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+ <!-- - **Sentence Transformer:** [Unknown](https://huggingface.co/unknown) -->
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+ - **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
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+ - **Maximum Sequence Length:** 512 tokens
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+ - **Number of Classes:** 44 classes
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+ <!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
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+ <!-- - **Language:** Unknown -->
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+ <!-- - **License:** Unknown -->
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+
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+ ### Model Sources
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+
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+ - **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
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+ - **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
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+ - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
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+
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+ ### Model Labels
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+ | Label | Examples |
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+ |:-------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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+ | Other / kids | <ul><li>'cantine scolaire mars paiement carte'</li><li>'virement recu alouette garde d enfants'</li><li>'achat carte couture kids atelier carte'</li></ul> |
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+ | Bank services / withdrawal | <ul><li>'retrait dab banque du peuple lille carte fr'</li><li>'retrait dab megastore electronix carte'</li><li>'retrait dab banqueville centre carte'</li></ul> |
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+ | Housing / rent | <ul><li>'reglement loyer f nice carte'</li><li>'paiement loyer duplex nantes carte'</li><li>'loyer t bordeaux chartrons carte'</li></ul> |
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+ | Leisure & Entertainment / sports & hobbies | <ul><li>'abonnement golf de roncevaux avril carte'</li><li>'paiement en ligne du adidas fr carte'</li><li>'cours de tennis indoor club fontenay carte'</li></ul> |
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+ | Transportation / car loan & leasing | <ul><li>'prelevement leaseplan citroen c'</li><li>'loyer mensuel volkswagen polo carte'</li><li>'pret vehicule citroen c carte'</li></ul> |
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+ | Healthy & Beauty / veterinary | <ul><li>'urgence digestive bibou urgencyvet carte'</li><li>'echoradiographie minette carte'</li><li>'consultation dermatologique canine vetderm carte'</li></ul> |
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+ | Transportation / taxi & carpool | <ul><li>'facture carte du grab bangkok carte tha thb commission'</li><li>'prlv sepa bolt transport carte'</li><li>'facture carte du kakao taxi seoul carte kor krw commission'</li></ul> |
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+ | Healthy & Beauty / doctor fees | <ul><li>'consultation dr lemoine carte'</li><li>'rdv pediatrie dr lenoir carte'</li><li>'rdv chirurgie esthetique dr martin carte'</li></ul> |
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+ | Food & Drinks / eating out | <ul><li>'facture carte du vietnam delices strasbourg carte'</li><li>'facture carte du la cabane creole la reunion carte'</li><li>'facture carte du the green pub montpellier carte'</li></ul> |
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+ | Transportation / other | <ul><li>'location velo elecgreen du paris carte'</li><li>'frais de lavage auto eco wash carte'</li><li>'frais post stationnement carte'</li></ul> |
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+ | Healthy & Beauty / beauty & self-care | <ul><li>'achat lush cosmetiques lyon carte'</li><li>'facture carte du douglas beauty store carte'</li><li>'achat salon de coiffure elegance carte'</li></ul> |
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+ | Bank services / other | <ul><li>'cotisation carte gold annuelle carte'</li><li>'frais emission duplicata rib iban carte'</li><li>'frais mise en place autorisation de decouvert carte'</li></ul> |
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+ | Bank services / general fees | <ul><li>'frais de gestion compte epargne banqplus carte'</li><li>'abonnement service banque en ligne banqfacile carte'</li><li>'frais sur decouvert autorise'</li></ul> |
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+ | Leisure & Entertainment / culture & events | <ul><li>'pass festival avignon off carte'</li><li>'reservation carte salon du livre paris carte'</li><li>'achat carte billet expo universselle carte'</li></ul> |
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+ | Other / taxes | <ul><li>'taxe d amenagement projet xyz'</li><li>'taxe annuelle sur les locations meublees non professionnelles'</li><li>'impot sur le revenu prelevement sepa fiscal frzzz'</li></ul> |
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+ | Housing / services & maintenance | <ul><li>'prlv sepa sos plombier paris'</li><li>'virement recu travaux peinture dupont michel'</li><li>'facture carte du vitrerie lumiere carte'</li></ul> |
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+ | Housing / utilities & bills | <ul><li>'prlv sepa edf facture electricite'</li><li>'prlv sepa engie'</li><li>'facture carte du bouygues telecom carte'</li></ul> |
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+ | Investment / real estate | <ul><li>'reservation studio montagne carte'</li><li>'virement sortant achat terrain bellevue carte'</li><li>'prlv sepa agence immobiliere commission vente'</li></ul> |
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+ | Recurrent Payments / subscription | <ul><li>'abonnement annual magazine cuisine carte'</li><li>'abonnement plateforme d apprentissage en ligne skillex carte'</li><li>'adhesion annuelle amazon prime carte'</li></ul> |
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+ | Other / other | <ul><li>'paiement service debrisage encombrants'</li><li>'stage de survie nature extreme carte'</li><li>'inscription marathon de paris'</li></ul> |
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+ | Shopping / electronics & multimedia | <ul><li>'achat carte du gamerzone carte'</li><li>'facture carte du hightech store paris carte'</li><li>'achat en ligne hp store carte usa'</li></ul> |
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+ | Bank services / transfers | <ul><li>'virement sortant facture soleil energie'</li><li>'transfer economies vers pel'</li><li>'virement initie application mobile vers comptes joints'</li></ul> |
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+ | Investment / retirement & savings | <ul><li>'versement plan epargne retraite crédit agricole carte'</li><li>'achat parts cooperative eparco'</li><li>'souscription fonds pension'</li></ul> |
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+ | Housing / other | <ul><li>'achat mobilier jardin bleutropic carte'</li><li>'douchette ecologique ecoflow carte'</li><li>'virement recu du remboursement depot de garantie'</li></ul> |
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+ | Housing / house loan | <ul><li>'solde emprunt habitat fortuneo pret'</li><li>'remboursement emprunt logis credit agricole'</li><li>'transaction pret immo societe generale de prêteur frsge'</li></ul> |
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+ | Recurrent Payments / other | <ul><li>'don mensuel a l ong environ actionfr transaction date'</li><li>'contribution trimestrielle revue culturelle lumières date'</li><li>'prlv sepa chess com premium'</li></ul> |
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+ | Transportation / fuel | <ul><li>'facture carte du bp energy carte'</li><li>'depense s c agip lyon carte'</li><li>'debit carte circle k energy carte'</li></ul> |
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+ | Other / pets | <ul><li>'debit automatique assurance chien fido protect'</li><li>'retrait dab ferme des lapinous carte commission'</li><li>'achat animalerie toutouplus lyon carte'</li></ul> |
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+ | Transportation / maitenance | <ul><li>'reparation systeme de navigation gps auto tech dijon'</li><li>'vidange huile moteur garage du centre rennes'</li><li>'paiement carte du garage rénov clim reims carte'</li></ul> |
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+ | Food & Drinks / groceries | <ul><li>'facture carte du fromagerie dupont carte'</li><li>'facture carte du cremerie des alpes carte'</li><li>'prlv sepa la ferme lorraine'</li></ul> |
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+ | Recurrent Payments / insurance | <ul><li>'cotisation assurance multirisque domus secur frzzz'</li><li>'prelevement sepa assurance grand voyage worldtravel frzzz'</li><li>'prlv sepa assurance emprunteur bnp paribas'</li></ul> |
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+ | Food & Drinks / other | <ul><li>'facture carte just press carte'</li><li>'achat card du tea box paris carte'</li><li>'facture carte du café de flore carte'</li></ul> |
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+ | Recurrent Payments / loans | <ul><li>'prlv sepa monabanq pret amelioration habitat frzzz'</li><li>'prélèvement sepa credit agricole pret immoparc carte'</li><li>'prlv sepa sofinco pret conso carte'</li></ul> |
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+ | Transportation / public transportation | <ul><li>'achat titres v ville de lille carte'</li><li>'navette aeroport orly bus carte'</li><li>'ticket voyages lyon transport carte'</li></ul> |
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+ | Investment / securities | <ul><li>'souscription fonds pension carte'</li><li>'vente sicav monetaire carte'</li><li>'achat parts initiative europe carte'</li></ul> |
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+ | Shopping / housing equipment | <ul><li>'paiement cb darty nice carte'</li><li>'achat au moulin des peintures nantes carte'</li><li>'achat cb castorama lille carte le'</li></ul> |
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+ | Healthy & Beauty / other | <ul><li>'abonnement annuel gymnase formeplus carte'</li><li>'seance yoga luxe paris carte'</li><li>'soin relaxant doux jardin nantes carte'</li></ul> |
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+ | Healthy & Beauty / pharmacy | <ul><li>'prlv sepa pharmacie azureech'</li><li>'facture carte du pharmacie centrale paris carte'</li><li>'achat pharmacie du parc carte le'</li></ul> |
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+ | Shopping / clothing | <ul><li>'facture carte du levis store carte can cad commission'</li><li>'achat veste en cuir chez massimo dutti carte paris'</li><li>'facture carte converse paris carte'</li></ul> |
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+ | Shopping / sporting goods | <ul><li>'achat decathlon besancon carte'</li><li>'achat carte nike store carte'</li><li>'paiement carte running store paris carte'</li></ul> |
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+ | Leisure & Entertainment / travel | <ul><li>'facture carte du seaworld san diego carte'</li><li>'payment card louvre museum card'</li><li>'retrait dab cairo airport card egy egp commission'</li></ul> |
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+ | Investment / other | <ul><li>'achat parts sociales cooperative agricole carte'</li><li>'achat actions ia revolution carte'</li><li>'investissement projet ecologique carte'</li></ul> |
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+ | Leisure & Entertainment / other | <ul><li>'facture carte du hbo max carte usa'</li><li>'abonnement carte playstation plus carte eu'</li><li>'abonnement mensuel canal carte'</li></ul> |
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+ | Shopping / other | <ul><li>'facture carte du fnac livres carte'</li><li>'facture carte du les tresors de sophie bordeaux carte'</li><li>'achat jouets et merveilles dijon carte'</li></ul> |
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+
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+ ## Evaluation
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+
111
+ ### Metrics
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+ | Label | Accuracy |
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+ |:--------|:---------|
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+ | **all** | 0.7008 |
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+
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+ ## Uses
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+
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+ ### Direct Use for Inference
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+
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+ First install the SetFit library:
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+
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+ ```bash
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+ pip install setfit
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+ ```
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+
126
+ Then you can load this model and run inference.
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+
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+ ```python
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+ from setfit import SetFitModel
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+
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+ # Download from the 🤗 Hub
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+ model = SetFitModel.from_pretrained("HEN10/setfit-particular-transaction-solon-embeddings-labels-large-v4")
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+ # Run inference
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+ preds = model("leçon de surf hossegor surf club carte")
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+ ```
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+
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+ <!--
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+ ### Downstream Use
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+
140
+ *List how someone could finetune this model on their own dataset.*
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+ -->
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+
143
+ <!--
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+ ### Out-of-Scope Use
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+
146
+ *List how the model may foreseeably be misused and address what users ought not to do with the model.*
147
+ -->
148
+
149
+ <!--
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+ ## Bias, Risks and Limitations
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+
152
+ *What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
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+ -->
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+
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+ <!--
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+ ### Recommendations
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+
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+ *What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
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+ -->
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+
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+ ## Training Details
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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 | 5.9159 | 12 |
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+
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+ | Label | Training Sample Count |
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+ |:-------------------------------------------|:----------------------|
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+ | Housing / rent | 20 |
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+ | Housing / house loan | 20 |
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+ | Housing / utilities & bills | 20 |
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+ | Housing / services & maintenance | 20 |
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+ | Housing / other | 20 |
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+ | Food & Drinks / groceries | 20 |
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+ | Food & Drinks / eating out | 20 |
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+ | Food & Drinks / other | 20 |
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+ | Leisure & Entertainment / sports & hobbies | 20 |
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+ | Leisure & Entertainment / culture & events | 20 |
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+ | Leisure & Entertainment / travel | 20 |
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+ | Leisure & Entertainment / other | 20 |
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+ | Transportation / car loan & leasing | 20 |
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+ | Transportation / fuel | 20 |
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+ | Transportation / public transportation | 20 |
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+ | Transportation / taxi & carpool | 20 |
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+ | Transportation / maitenance | 20 |
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+ | Transportation / other | 20 |
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+ | Recurrent Payments / loans | 20 |
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+ | Recurrent Payments / insurance | 20 |
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+ | Recurrent Payments / subscription | 20 |
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+ | Recurrent Payments / other | 20 |
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+ | Investment / securities | 20 |
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+ | Investment / retirement & savings | 20 |
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+ | Investment / real estate | 20 |
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+ | Investment / other | 20 |
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+ | Shopping / clothing | 20 |
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+ | Shopping / electronics & multimedia | 20 |
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+ | Shopping / sporting goods | 20 |
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+ | Shopping / housing equipment | 20 |
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+ | Shopping / other | 20 |
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+ | Healthy & Beauty / doctor fees | 20 |
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+ | Healthy & Beauty / pharmacy | 20 |
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+ | Healthy & Beauty / beauty & self-care | 20 |
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+ | Healthy & Beauty / veterinary | 20 |
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+ | Healthy & Beauty / other | 20 |
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+ | Bank services / transfers | 20 |
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+ | Bank services / withdrawal | 20 |
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+ | Bank services / general fees | 20 |
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+ | Bank services / other | 20 |
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+ | Other / taxes | 20 |
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+ | Other / kids | 20 |
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+ | Other / pets | 20 |
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+ | Other / other | 20 |
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+
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+ ### Training Hyperparameters
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+ - batch_size: (26, 26)
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+ - num_epochs: (1, 1)
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+ - max_steps: -1
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+ - sampling_strategy: oversampling
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+ - body_learning_rate: (2e-05, 1e-05)
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+ - head_learning_rate: 0.01
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+ - loss: CosineSimilarityLoss
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+ - distance_metric: cosine_distance
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+ - margin: 0.25
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+ - end_to_end: True
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+ - use_amp: False
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+ - warmup_proportion: 0.1
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+ - seed: 6
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+ - eval_max_steps: -1
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+ - load_best_model_at_end: False
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+
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+ ### Training Results
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+ | Epoch | Step | Training Loss | Validation Loss |
234
+ |:------:|:-----:|:-------------:|:---------------:|
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+ | 0.0000 | 1 | 0.2084 | - |
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+ | 0.0012 | 50 | 0.2041 | - |
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+ | 0.0000 | 1 | 0.1841 | - |
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+ | 0.0017 | 50 | 0.219 | - |
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+ | 0.0034 | 100 | 0.2197 | - |
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+ | 0.0052 | 150 | 0.1724 | - |
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+ | 0.0069 | 200 | 0.2291 | - |
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+ | 0.0086 | 250 | 0.1693 | - |
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+ | 0.0103 | 300 | 0.0832 | - |
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+ | 0.0120 | 350 | 0.1414 | - |
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+ | 0.0137 | 400 | 0.0989 | - |
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+ | 0.0155 | 450 | 0.0962 | - |
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+ | 0.0172 | 500 | 0.1132 | - |
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+ | 0.0189 | 550 | 0.1 | - |
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+ | 0.0206 | 600 | 0.0561 | - |
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+ | 0.0223 | 650 | 0.0851 | - |
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+ | 0.0240 | 700 | 0.0762 | - |
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+ | 0.0258 | 750 | 0.0876 | - |
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+ | 0.0275 | 800 | 0.0414 | - |
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+ | 0.0292 | 850 | 0.0368 | - |
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+ | 0.0309 | 900 | 0.0409 | - |
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+ | 0.0326 | 950 | 0.0212 | - |
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+ | 0.0344 | 1000 | 0.0175 | - |
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+ | 0.0361 | 1050 | 0.05 | - |
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+ | 0.0378 | 1100 | 0.0848 | - |
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+ | 0.0395 | 1150 | 0.0549 | - |
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+ | 0.0412 | 1200 | 0.0395 | - |
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+ | 0.0429 | 1250 | 0.029 | - |
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+ | 0.0447 | 1300 | 0.0047 | - |
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+ | 0.0464 | 1350 | 0.0387 | - |
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+ | 0.0481 | 1400 | 0.0268 | - |
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+ | 0.0498 | 1450 | 0.0531 | - |
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+ | 0.0515 | 1500 | 0.0038 | - |
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+ | 0.0532 | 1550 | 0.0226 | - |
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+ | 0.0550 | 1600 | 0.0349 | - |
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+ | 0.0567 | 1650 | 0.0106 | - |
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+ | 0.0584 | 1700 | 0.0049 | - |
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+ | 0.0601 | 1750 | 0.0171 | - |
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+ | 0.0618 | 1800 | 0.0066 | - |
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+ | 0.0636 | 1850 | 0.0066 | - |
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+ | 0.0653 | 1900 | 0.0039 | - |
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+ | 0.0670 | 1950 | 0.0016 | - |
277
+ | 0.0687 | 2000 | 0.0414 | - |
278
+ | 0.0704 | 2050 | 0.0172 | - |
279
+ | 0.0721 | 2100 | 0.0039 | - |
280
+ | 0.0739 | 2150 | 0.0036 | - |
281
+ | 0.0756 | 2200 | 0.0334 | - |
282
+ | 0.0773 | 2250 | 0.0025 | - |
283
+ | 0.0790 | 2300 | 0.0022 | - |
284
+ | 0.0807 | 2350 | 0.0017 | - |
285
+ | 0.0825 | 2400 | 0.0015 | - |
286
+ | 0.0842 | 2450 | 0.0125 | - |
287
+ | 0.0859 | 2500 | 0.0023 | - |
288
+ | 0.0876 | 2550 | 0.0023 | - |
289
+ | 0.0893 | 2600 | 0.0013 | - |
290
+ | 0.0910 | 2650 | 0.0728 | - |
291
+ | 0.0928 | 2700 | 0.0141 | - |
292
+ | 0.0945 | 2750 | 0.0332 | - |
293
+ | 0.0962 | 2800 | 0.0632 | - |
294
+ | 0.0979 | 2850 | 0.0042 | - |
295
+ | 0.0996 | 2900 | 0.0117 | - |
296
+ | 0.1013 | 2950 | 0.0014 | - |
297
+ | 0.1031 | 3000 | 0.0013 | - |
298
+ | 0.1048 | 3050 | 0.0464 | - |
299
+ | 0.1065 | 3100 | 0.0031 | - |
300
+ | 0.1082 | 3150 | 0.0007 | - |
301
+ | 0.1099 | 3200 | 0.0008 | - |
302
+ | 0.1117 | 3250 | 0.001 | - |
303
+ | 0.1134 | 3300 | 0.001 | - |
304
+ | 0.1151 | 3350 | 0.0016 | - |
305
+ | 0.1168 | 3400 | 0.0006 | - |
306
+ | 0.1185 | 3450 | 0.0005 | - |
307
+ | 0.1202 | 3500 | 0.0006 | - |
308
+ | 0.1220 | 3550 | 0.0008 | - |
309
+ | 0.1237 | 3600 | 0.0368 | - |
310
+ | 0.1254 | 3650 | 0.0026 | - |
311
+ | 0.1271 | 3700 | 0.0372 | - |
312
+ | 0.1288 | 3750 | 0.0006 | - |
313
+ | 0.1305 | 3800 | 0.0005 | - |
314
+ | 0.1323 | 3850 | 0.0276 | - |
315
+ | 0.1340 | 3900 | 0.0007 | - |
316
+ | 0.1357 | 3950 | 0.0013 | - |
317
+ | 0.1374 | 4000 | 0.0008 | - |
318
+ | 0.1391 | 4050 | 0.0018 | - |
319
+ | 0.1409 | 4100 | 0.0292 | - |
320
+ | 0.1426 | 4150 | 0.0102 | - |
321
+ | 0.1443 | 4200 | 0.0093 | - |
322
+ | 0.1460 | 4250 | 0.0022 | - |
323
+ | 0.1477 | 4300 | 0.0032 | - |
324
+ | 0.1494 | 4350 | 0.001 | - |
325
+ | 0.1512 | 4400 | 0.0006 | - |
326
+ | 0.1529 | 4450 | 0.0007 | - |
327
+ | 0.1546 | 4500 | 0.0007 | - |
328
+ | 0.1563 | 4550 | 0.0007 | - |
329
+ | 0.1580 | 4600 | 0.0007 | - |
330
+ | 0.1597 | 4650 | 0.0011 | - |
331
+ | 0.1615 | 4700 | 0.0008 | - |
332
+ | 0.1632 | 4750 | 0.0374 | - |
333
+ | 0.1649 | 4800 | 0.0004 | - |
334
+ | 0.1666 | 4850 | 0.0008 | - |
335
+ | 0.1683 | 4900 | 0.005 | - |
336
+ | 0.1701 | 4950 | 0.0013 | - |
337
+ | 0.1718 | 5000 | 0.0016 | - |
338
+ | 0.1735 | 5050 | 0.0006 | - |
339
+ | 0.1752 | 5100 | 0.0007 | - |
340
+ | 0.1769 | 5150 | 0.0007 | - |
341
+ | 0.1786 | 5200 | 0.0004 | - |
342
+ | 0.1804 | 5250 | 0.0003 | - |
343
+ | 0.1821 | 5300 | 0.0004 | - |
344
+ | 0.1838 | 5350 | 0.0004 | - |
345
+ | 0.1855 | 5400 | 0.0002 | - |
346
+ | 0.1872 | 5450 | 0.036 | - |
347
+ | 0.1890 | 5500 | 0.0003 | - |
348
+ | 0.1907 | 5550 | 0.0003 | - |
349
+ | 0.1924 | 5600 | 0.0003 | - |
350
+ | 0.1941 | 5650 | 0.0006 | - |
351
+ | 0.1958 | 5700 | 0.0005 | - |
352
+ | 0.1975 | 5750 | 0.0057 | - |
353
+ | 0.1993 | 5800 | 0.0008 | - |
354
+ | 0.2010 | 5850 | 0.0002 | - |
355
+ | 0.2027 | 5900 | 0.0013 | - |
356
+ | 0.2044 | 5950 | 0.0004 | - |
357
+ | 0.2061 | 6000 | 0.0002 | - |
358
+ | 0.2078 | 6050 | 0.0002 | - |
359
+ | 0.2096 | 6100 | 0.0015 | - |
360
+ | 0.2113 | 6150 | 0.037 | - |
361
+ | 0.2130 | 6200 | 0.0003 | - |
362
+ | 0.2147 | 6250 | 0.0003 | - |
363
+ | 0.2164 | 6300 | 0.0002 | - |
364
+ | 0.2182 | 6350 | 0.0003 | - |
365
+ | 0.2199 | 6400 | 0.0005 | - |
366
+ | 0.2216 | 6450 | 0.0004 | - |
367
+ | 0.2233 | 6500 | 0.0042 | - |
368
+ | 0.2250 | 6550 | 0.0004 | - |
369
+ | 0.2267 | 6600 | 0.0006 | - |
370
+ | 0.2285 | 6650 | 0.0004 | - |
371
+ | 0.2302 | 6700 | 0.0005 | - |
372
+ | 0.2319 | 6750 | 0.0021 | - |
373
+ | 0.2336 | 6800 | 0.0003 | - |
374
+ | 0.2353 | 6850 | 0.0003 | - |
375
+ | 0.2370 | 6900 | 0.0005 | - |
376
+ | 0.2388 | 6950 | 0.0003 | - |
377
+ | 0.2405 | 7000 | 0.0002 | - |
378
+ | 0.2422 | 7050 | 0.0003 | - |
379
+ | 0.2439 | 7100 | 0.0004 | - |
380
+ | 0.2456 | 7150 | 0.0005 | - |
381
+ | 0.2474 | 7200 | 0.0005 | - |
382
+ | 0.2491 | 7250 | 0.001 | - |
383
+ | 0.2508 | 7300 | 0.0055 | - |
384
+ | 0.2525 | 7350 | 0.0005 | - |
385
+ | 0.2542 | 7400 | 0.0005 | - |
386
+ | 0.2559 | 7450 | 0.0007 | - |
387
+ | 0.2577 | 7500 | 0.0002 | - |
388
+ | 0.2594 | 7550 | 0.0745 | - |
389
+ | 0.2611 | 7600 | 0.0003 | - |
390
+ | 0.2628 | 7650 | 0.0002 | - |
391
+ | 0.2645 | 7700 | 0.0002 | - |
392
+ | 0.2662 | 7750 | 0.0004 | - |
393
+ | 0.2680 | 7800 | 0.0002 | - |
394
+ | 0.2697 | 7850 | 0.0002 | - |
395
+ | 0.2714 | 7900 | 0.0003 | - |
396
+ | 0.2731 | 7950 | 0.0002 | - |
397
+ | 0.2748 | 8000 | 0.0002 | - |
398
+ | 0.2766 | 8050 | 0.0003 | - |
399
+ | 0.2783 | 8100 | 0.0003 | - |
400
+ | 0.2800 | 8150 | 0.0313 | - |
401
+ | 0.2817 | 8200 | 0.0007 | - |
402
+ | 0.2834 | 8250 | 0.0002 | - |
403
+ | 0.2851 | 8300 | 0.0003 | - |
404
+ | 0.2869 | 8350 | 0.0003 | - |
405
+ | 0.2886 | 8400 | 0.0003 | - |
406
+ | 0.2903 | 8450 | 0.0002 | - |
407
+ | 0.2920 | 8500 | 0.0003 | - |
408
+ | 0.2937 | 8550 | 0.0154 | - |
409
+ | 0.2955 | 8600 | 0.0003 | - |
410
+ | 0.2972 | 8650 | 0.0005 | - |
411
+ | 0.2989 | 8700 | 0.0041 | - |
412
+ | 0.3006 | 8750 | 0.0003 | - |
413
+ | 0.3023 | 8800 | 0.0002 | - |
414
+ | 0.3040 | 8850 | 0.0003 | - |
415
+ | 0.3058 | 8900 | 0.0001 | - |
416
+ | 0.3075 | 8950 | 0.0005 | - |
417
+ | 0.3092 | 9000 | 0.0022 | - |
418
+ | 0.3109 | 9050 | 0.0002 | - |
419
+ | 0.3126 | 9100 | 0.0003 | - |
420
+ | 0.3143 | 9150 | 0.0002 | - |
421
+ | 0.3161 | 9200 | 0.0001 | - |
422
+ | 0.3178 | 9250 | 0.0002 | - |
423
+ | 0.3195 | 9300 | 0.0001 | - |
424
+ | 0.3212 | 9350 | 0.0002 | - |
425
+ | 0.3229 | 9400 | 0.0002 | - |
426
+ | 0.3247 | 9450 | 0.0003 | - |
427
+ | 0.3264 | 9500 | 0.0017 | - |
428
+ | 0.3281 | 9550 | 0.003 | - |
429
+ | 0.3298 | 9600 | 0.0039 | - |
430
+ | 0.3315 | 9650 | 0.0028 | - |
431
+ | 0.3332 | 9700 | 0.0037 | - |
432
+ | 0.3350 | 9750 | 0.0005 | - |
433
+ | 0.3367 | 9800 | 0.0352 | - |
434
+ | 0.3384 | 9850 | 0.0006 | - |
435
+ | 0.3401 | 9900 | 0.0006 | - |
436
+ | 0.3418 | 9950 | 0.0004 | - |
437
+ | 0.3435 | 10000 | 0.0002 | - |
438
+ | 0.3453 | 10050 | 0.0012 | - |
439
+ | 0.3470 | 10100 | 0.0002 | - |
440
+ | 0.3487 | 10150 | 0.0003 | - |
441
+ | 0.3504 | 10200 | 0.0002 | - |
442
+ | 0.3521 | 10250 | 0.0002 | - |
443
+ | 0.3539 | 10300 | 0.0004 | - |
444
+ | 0.3556 | 10350 | 0.0003 | - |
445
+ | 0.3573 | 10400 | 0.0003 | - |
446
+ | 0.3590 | 10450 | 0.0002 | - |
447
+ | 0.3607 | 10500 | 0.0004 | - |
448
+ | 0.3624 | 10550 | 0.0004 | - |
449
+ | 0.3642 | 10600 | 0.0371 | - |
450
+ | 0.3659 | 10650 | 0.0005 | - |
451
+ | 0.3676 | 10700 | 0.0236 | - |
452
+ | 0.3693 | 10750 | 0.0002 | - |
453
+ | 0.3710 | 10800 | 0.0002 | - |
454
+ | 0.3727 | 10850 | 0.0003 | - |
455
+ | 0.3745 | 10900 | 0.0004 | - |
456
+ | 0.3762 | 10950 | 0.0002 | - |
457
+ | 0.3779 | 11000 | 0.0002 | - |
458
+ | 0.3796 | 11050 | 0.0002 | - |
459
+ | 0.3813 | 11100 | 0.0001 | - |
460
+ | 0.3831 | 11150 | 0.0001 | - |
461
+ | 0.3848 | 11200 | 0.0002 | - |
462
+ | 0.3865 | 11250 | 0.0002 | - |
463
+ | 0.3882 | 11300 | 0.0001 | - |
464
+ | 0.3899 | 11350 | 0.0001 | - |
465
+ | 0.3916 | 11400 | 0.0351 | - |
466
+ | 0.3934 | 11450 | 0.0003 | - |
467
+ | 0.3951 | 11500 | 0.0001 | - |
468
+ | 0.3968 | 11550 | 0.0326 | - |
469
+ | 0.3985 | 11600 | 0.0001 | - |
470
+ | 0.4002 | 11650 | 0.0006 | - |
471
+ | 0.4020 | 11700 | 0.0002 | - |
472
+ | 0.4037 | 11750 | 0.0004 | - |
473
+ | 0.4054 | 11800 | 0.0002 | - |
474
+ | 0.4071 | 11850 | 0.0002 | - |
475
+ | 0.4088 | 11900 | 0.0001 | - |
476
+ | 0.4105 | 11950 | 0.0002 | - |
477
+ | 0.4123 | 12000 | 0.0002 | - |
478
+ | 0.4140 | 12050 | 0.0003 | - |
479
+ | 0.4157 | 12100 | 0.0003 | - |
480
+ | 0.4174 | 12150 | 0.0001 | - |
481
+ | 0.4191 | 12200 | 0.0001 | - |
482
+ | 0.4208 | 12250 | 0.0003 | - |
483
+ | 0.4226 | 12300 | 0.0001 | - |
484
+ | 0.4243 | 12350 | 0.0002 | - |
485
+ | 0.4260 | 12400 | 0.0003 | - |
486
+ | 0.4277 | 12450 | 0.0002 | - |
487
+ | 0.4294 | 12500 | 0.0002 | - |
488
+ | 0.4312 | 12550 | 0.0002 | - |
489
+ | 0.4329 | 12600 | 0.0002 | - |
490
+ | 0.4346 | 12650 | 0.0007 | - |
491
+ | 0.4363 | 12700 | 0.0002 | - |
492
+ | 0.4380 | 12750 | 0.0003 | - |
493
+ | 0.4397 | 12800 | 0.0001 | - |
494
+ | 0.4415 | 12850 | 0.0001 | - |
495
+ | 0.4432 | 12900 | 0.0002 | - |
496
+ | 0.4449 | 12950 | 0.001 | - |
497
+ | 0.4466 | 13000 | 0.0002 | - |
498
+ | 0.4483 | 13050 | 0.0002 | - |
499
+ | 0.4500 | 13100 | 0.0005 | - |
500
+ | 0.4518 | 13150 | 0.0002 | - |
501
+ | 0.4535 | 13200 | 0.0002 | - |
502
+ | 0.4552 | 13250 | 0.0001 | - |
503
+ | 0.4569 | 13300 | 0.0003 | - |
504
+ | 0.4586 | 13350 | 0.0013 | - |
505
+ | 0.4604 | 13400 | 0.0002 | - |
506
+ | 0.4621 | 13450 | 0.0372 | - |
507
+ | 0.4638 | 13500 | 0.0002 | - |
508
+ | 0.4655 | 13550 | 0.0003 | - |
509
+ | 0.4672 | 13600 | 0.0025 | - |
510
+ | 0.4689 | 13650 | 0.0002 | - |
511
+ | 0.4707 | 13700 | 0.0002 | - |
512
+ | 0.4724 | 13750 | 0.0001 | - |
513
+ | 0.4741 | 13800 | 0.0002 | - |
514
+ | 0.4758 | 13850 | 0.0001 | - |
515
+ | 0.4775 | 13900 | 0.0003 | - |
516
+ | 0.4792 | 13950 | 0.0026 | - |
517
+ | 0.4810 | 14000 | 0.0002 | - |
518
+ | 0.4827 | 14050 | 0.0002 | - |
519
+ | 0.4844 | 14100 | 0.0002 | - |
520
+ | 0.4861 | 14150 | 0.0002 | - |
521
+ | 0.4878 | 14200 | 0.0002 | - |
522
+ | 0.4896 | 14250 | 0.0002 | - |
523
+ | 0.4913 | 14300 | 0.0003 | - |
524
+ | 0.4930 | 14350 | 0.0002 | - |
525
+ | 0.4947 | 14400 | 0.0014 | - |
526
+ | 0.4964 | 14450 | 0.0002 | - |
527
+ | 0.4981 | 14500 | 0.0001 | - |
528
+ | 0.4999 | 14550 | 0.0002 | - |
529
+ | 0.5016 | 14600 | 0.0001 | - |
530
+ | 0.5033 | 14650 | 0.0002 | - |
531
+ | 0.5050 | 14700 | 0.0001 | - |
532
+ | 0.5067 | 14750 | 0.0002 | - |
533
+ | 0.5085 | 14800 | 0.0001 | - |
534
+ | 0.5102 | 14850 | 0.0001 | - |
535
+ | 0.5119 | 14900 | 0.0002 | - |
536
+ | 0.5136 | 14950 | 0.0001 | - |
537
+ | 0.5153 | 15000 | 0.0001 | - |
538
+ | 0.5170 | 15050 | 0.0001 | - |
539
+ | 0.5188 | 15100 | 0.0002 | - |
540
+ | 0.5205 | 15150 | 0.0002 | - |
541
+ | 0.5222 | 15200 | 0.0002 | - |
542
+ | 0.5239 | 15250 | 0.0001 | - |
543
+ | 0.5256 | 15300 | 0.0001 | - |
544
+ | 0.5273 | 15350 | 0.0001 | - |
545
+ | 0.5291 | 15400 | 0.0001 | - |
546
+ | 0.5308 | 15450 | 0.0001 | - |
547
+ | 0.5325 | 15500 | 0.0001 | - |
548
+ | 0.5342 | 15550 | 0.0001 | - |
549
+ | 0.5359 | 15600 | 0.0001 | - |
550
+ | 0.5377 | 15650 | 0.0001 | - |
551
+ | 0.5394 | 15700 | 0.0001 | - |
552
+ | 0.5411 | 15750 | 0.0001 | - |
553
+ | 0.5428 | 15800 | 0.0001 | - |
554
+ | 0.5445 | 15850 | 0.0002 | - |
555
+ | 0.5462 | 15900 | 0.0002 | - |
556
+ | 0.5480 | 15950 | 0.0001 | - |
557
+ | 0.5497 | 16000 | 0.0001 | - |
558
+ | 0.5514 | 16050 | 0.0001 | - |
559
+ | 0.5531 | 16100 | 0.0001 | - |
560
+ | 0.5548 | 16150 | 0.0001 | - |
561
+ | 0.5565 | 16200 | 0.0001 | - |
562
+ | 0.5583 | 16250 | 0.0001 | - |
563
+ | 0.5600 | 16300 | 0.0001 | - |
564
+ | 0.5617 | 16350 | 0.0001 | - |
565
+ | 0.5634 | 16400 | 0.0002 | - |
566
+ | 0.5651 | 16450 | 0.0001 | - |
567
+ | 0.5669 | 16500 | 0.0001 | - |
568
+ | 0.5686 | 16550 | 0.0001 | - |
569
+ | 0.5703 | 16600 | 0.0001 | - |
570
+ | 0.5720 | 16650 | 0.0002 | - |
571
+ | 0.5737 | 16700 | 0.0001 | - |
572
+ | 0.5754 | 16750 | 0.0001 | - |
573
+ | 0.5772 | 16800 | 0.0001 | - |
574
+ | 0.5789 | 16850 | 0.0001 | - |
575
+ | 0.5806 | 16900 | 0.0001 | - |
576
+ | 0.5823 | 16950 | 0.0001 | - |
577
+ | 0.5840 | 17000 | 0.0001 | - |
578
+ | 0.5857 | 17050 | 0.0002 | - |
579
+ | 0.5875 | 17100 | 0.0001 | - |
580
+ | 0.5892 | 17150 | 0.0001 | - |
581
+ | 0.5909 | 17200 | 0.0001 | - |
582
+ | 0.5926 | 17250 | 0.0001 | - |
583
+ | 0.5943 | 17300 | 0.0001 | - |
584
+ | 0.5961 | 17350 | 0.0001 | - |
585
+ | 0.5978 | 17400 | 0.0001 | - |
586
+ | 0.5995 | 17450 | 0.0001 | - |
587
+ | 0.6012 | 17500 | 0.0371 | - |
588
+ | 0.6029 | 17550 | 0.0001 | - |
589
+ | 0.6046 | 17600 | 0.0001 | - |
590
+ | 0.6064 | 17650 | 0.0001 | - |
591
+ | 0.6081 | 17700 | 0.0001 | - |
592
+ | 0.6098 | 17750 | 0.0001 | - |
593
+ | 0.6115 | 17800 | 0.0002 | - |
594
+ | 0.6132 | 17850 | 0.0007 | - |
595
+ | 0.6150 | 17900 | 0.0002 | - |
596
+ | 0.6167 | 17950 | 0.0001 | - |
597
+ | 0.6184 | 18000 | 0.0115 | - |
598
+ | 0.6201 | 18050 | 0.0001 | - |
599
+ | 0.6218 | 18100 | 0.0004 | - |
600
+ | 0.6235 | 18150 | 0.0002 | - |
601
+ | 0.6253 | 18200 | 0.0074 | - |
602
+ | 0.6270 | 18250 | 0.0325 | - |
603
+ | 0.6287 | 18300 | 0.0008 | - |
604
+ | 0.6304 | 18350 | 0.0007 | - |
605
+ | 0.6321 | 18400 | 0.0002 | - |
606
+ | 0.6338 | 18450 | 0.0005 | - |
607
+ | 0.6356 | 18500 | 0.0003 | - |
608
+ | 0.6373 | 18550 | 0.0003 | - |
609
+ | 0.6390 | 18600 | 0.0002 | - |
610
+ | 0.6407 | 18650 | 0.0003 | - |
611
+ | 0.6424 | 18700 | 0.0003 | - |
612
+ | 0.6442 | 18750 | 0.0002 | - |
613
+ | 0.6459 | 18800 | 0.0002 | - |
614
+ | 0.6476 | 18850 | 0.0002 | - |
615
+ | 0.6493 | 18900 | 0.0002 | - |
616
+ | 0.6510 | 18950 | 0.0001 | - |
617
+ | 0.6527 | 19000 | 0.0001 | - |
618
+ | 0.6545 | 19050 | 0.0003 | - |
619
+ | 0.6562 | 19100 | 0.0001 | - |
620
+ | 0.6579 | 19150 | 0.0001 | - |
621
+ | 0.6596 | 19200 | 0.0002 | - |
622
+ | 0.6613 | 19250 | 0.0002 | - |
623
+ | 0.6630 | 19300 | 0.0003 | - |
624
+ | 0.6648 | 19350 | 0.0186 | - |
625
+ | 0.6665 | 19400 | 0.0001 | - |
626
+ | 0.6682 | 19450 | 0.0002 | - |
627
+ | 0.6699 | 19500 | 0.0002 | - |
628
+ | 0.6716 | 19550 | 0.0001 | - |
629
+ | 0.6734 | 19600 | 0.0001 | - |
630
+ | 0.6751 | 19650 | 0.0001 | - |
631
+ | 0.6768 | 19700 | 0.0001 | - |
632
+ | 0.6785 | 19750 | 0.0001 | - |
633
+ | 0.6802 | 19800 | 0.0001 | - |
634
+ | 0.6819 | 19850 | 0.0001 | - |
635
+ | 0.6837 | 19900 | 0.0001 | - |
636
+ | 0.6854 | 19950 | 0.0371 | - |
637
+ | 0.6871 | 20000 | 0.0001 | - |
638
+ | 0.6888 | 20050 | 0.0001 | - |
639
+ | 0.6905 | 20100 | 0.0001 | - |
640
+ | 0.6922 | 20150 | 0.0001 | - |
641
+ | 0.6940 | 20200 | 0.0001 | - |
642
+ | 0.6957 | 20250 | 0.0001 | - |
643
+ | 0.6974 | 20300 | 0.0001 | - |
644
+ | 0.6991 | 20350 | 0.0001 | - |
645
+ | 0.7008 | 20400 | 0.0001 | - |
646
+ | 0.7026 | 20450 | 0.0001 | - |
647
+ | 0.7043 | 20500 | 0.0002 | - |
648
+ | 0.7060 | 20550 | 0.0001 | - |
649
+ | 0.7077 | 20600 | 0.0002 | - |
650
+ | 0.7094 | 20650 | 0.0001 | - |
651
+ | 0.7111 | 20700 | 0.0001 | - |
652
+ | 0.7129 | 20750 | 0.0001 | - |
653
+ | 0.7146 | 20800 | 0.0001 | - |
654
+ | 0.7163 | 20850 | 0.0001 | - |
655
+ | 0.7180 | 20900 | 0.0001 | - |
656
+ | 0.7197 | 20950 | 0.0001 | - |
657
+ | 0.7215 | 21000 | 0.0001 | - |
658
+ | 0.7232 | 21050 | 0.0001 | - |
659
+ | 0.7249 | 21100 | 0.0363 | - |
660
+ | 0.7266 | 21150 | 0.0001 | - |
661
+ | 0.7283 | 21200 | 0.0001 | - |
662
+ | 0.7300 | 21250 | 0.0001 | - |
663
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+
821
+ ### Framework Versions
822
+ - Python: 3.10.13
823
+ - SetFit: 1.0.3
824
+ - Sentence Transformers: 2.6.1
825
+ - Transformers: 4.38.2
826
+ - PyTorch: 2.1.2
827
+ - Datasets: 2.17.0
828
+ - Tokenizers: 0.15.2
829
+
830
+ ## Citation
831
+
832
+ ### BibTeX
833
+ ```bibtex
834
+ @article{https://doi.org/10.48550/arxiv.2209.11055,
835
+ doi = {10.48550/ARXIV.2209.11055},
836
+ url = {https://arxiv.org/abs/2209.11055},
837
+ author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
838
+ keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
839
+ title = {Efficient Few-Shot Learning Without Prompts},
840
+ publisher = {arXiv},
841
+ year = {2022},
842
+ copyright = {Creative Commons Attribution 4.0 International}
843
+ }
844
+ ```
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+
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+ <!--
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+ ## Glossary
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+
849
+ *Clearly define terms in order to be accessible across audiences.*
850
+ -->
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+
852
+ <!--
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+ ## Model Card Authors
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+
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+ *Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
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+ -->
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+
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+ <!--
859
+ ## Model Card Contact
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+
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+ *Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
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+ -->
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