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@@ -59,17 +59,6 @@ The model has been trained using an efficient few-shot learning technique that i
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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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- ### Model Labels
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- | Label | Examples |
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- |:------------------|:---------------------------------------------------------------------------------------------------------------------------------|
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- | company name | <ul><li>'Werbeverguetung Ford Mustang GT Cabrio Mueller Marc'</li><li>'ELEVEN PARIS'</li><li>'Saldo quota iscrizione '</li></ul> |
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- | salary | <ul><li>'stipendio gianoli gen 23'</li><li>'Salaire Fevrier'</li><li>'salaire'</li></ul> |
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- | invoice | <ul><li>'PAIEMENT DE FACTURE FAT00014728'</li><li>'fattura 3/24'</li><li>'saldo fattura'</li></ul> |
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- | random characters | <ul><li>'arretrati'</li><li>'Identnummer 00480257'</li><li>'CEP AGENCE'</li></ul> |
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- | refund | <ul><li>'versement'</li><li>'Remboursement frais transport'</li><li>'REMB FRAIS V / V LONDRES'</li></ul> |
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- | buying | <ul><li>'voiture'</li><li>'fourniture'</li><li>'fournisseur '</li></ul> |
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- | rent | <ul><li>'loyer'</li><li>'loyer mars 2023'</li><li>'loyer'</li></ul> |
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  ## Evaluation
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  ### Metrics
 
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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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  ## Evaluation
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  ### Metrics