---
library_name: setfit
tags:
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
metrics:
- accuracy
widget:
- text: prlv sepa ecole montaigne cotisation scolaire
- text: facture carte du pharmacie pont neuf carte
- text: virement sortant facture soleil energie
- text: leçon de surf hossegor surf club carte
- text: virement initie application mobile vers comptes joints
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: 0.7007575757575758
      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:** 512 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                                                                                                                                                                                        |
|:-------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 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>                                      |
| 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>                                 |
| 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>                                                        |
| 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>                                |
| 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>                                                       |
| Healthy & Beauty / veterinary              | <ul><li>'urgence digestive bibou urgencyvet carte'</li><li>'echoradiographie minette carte'</li><li>'consultation dermatologique canine vetderm carte'</li></ul>                                |
| 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>        |
| 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>                                                    |
| 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>   |
| 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>                                               |
| 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>                                    |
| 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>                        |
| 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>                         |
| 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>                                 |
| 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>           |
| 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>                                       |
| 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>                                                               |
| 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>                           |
| 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>              |
| Other / other                              | <ul><li>'paiement service debrisage encombrants'</li><li>'stage de survie nature extreme carte'</li><li>'inscription marathon de paris'</li></ul>                                               |
| 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>                                            |
| 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>                              |
| 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>                                         |
| 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>                              |
| 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>                 |
| 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>             |
| 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>                                                          |
| 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>                   |
| 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>       |
| 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>                                          |
| 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> |
| 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>                                                   |
| 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>              |
| 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>                                                 |
| Investment / securities                    | <ul><li>'souscription fonds pension carte'</li><li>'vente sicav monetaire carte'</li><li>'achat parts initiative europe carte'</li></ul>                                                        |
| 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>                                               |
| 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>                                           |
| 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>                                           |
| 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>             |
| 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>                                                    |
| 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>                             |
| 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>                                |
| 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>                                            |
| 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>                         |

## Evaluation

### Metrics
| Label   | Accuracy |
|:--------|:---------|
| **all** | 0.7008   |

## 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-v4")
# Run inference
preds = model("leçon de surf hossegor surf club carte")
```

<!--
### Downstream Use

*List how someone could finetune this model on their own dataset.*
-->

<!--
### Out-of-Scope Use

*List how the model may foreseeably be misused and address what users ought not to do with the model.*
-->

<!--
## Bias, Risks and Limitations

*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
-->

<!--
### Recommendations

*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
-->

## Training Details

### Training Set Metrics
| Training set | Min | Median | Max |
|:-------------|:----|:-------|:----|
| Word count   | 3   | 5.9159 | 12  |

| Label                                      | Training Sample Count |
|:-------------------------------------------|:----------------------|
| Housing / rent                             | 20                    |
| Housing / house loan                       | 20                    |
| Housing / utilities & bills                | 20                    |
| Housing / services & maintenance           | 20                    |
| Housing / other                            | 20                    |
| Food & Drinks / groceries                  | 20                    |
| Food & Drinks / eating out                 | 20                    |
| Food & Drinks / other                      | 20                    |
| Leisure & Entertainment / sports & hobbies | 20                    |
| Leisure & Entertainment / culture & events | 20                    |
| Leisure & Entertainment / travel           | 20                    |
| Leisure & Entertainment / other            | 20                    |
| Transportation / car loan & leasing        | 20                    |
| Transportation / fuel                      | 20                    |
| Transportation / public transportation     | 20                    |
| Transportation / taxi & carpool            | 20                    |
| Transportation / maitenance                | 20                    |
| Transportation / other                     | 20                    |
| Recurrent Payments / loans                 | 20                    |
| Recurrent Payments / insurance             | 20                    |
| Recurrent Payments / subscription          | 20                    |
| Recurrent Payments / other                 | 20                    |
| Investment / securities                    | 20                    |
| Investment / retirement & savings          | 20                    |
| Investment / real estate                   | 20                    |
| Investment / other                         | 20                    |
| Shopping / clothing                        | 20                    |
| Shopping / electronics & multimedia        | 20                    |
| Shopping / sporting goods                  | 20                    |
| Shopping / housing equipment               | 20                    |
| Shopping / other                           | 20                    |
| Healthy & Beauty / doctor fees             | 20                    |
| Healthy & Beauty / pharmacy                | 20                    |
| Healthy & Beauty / beauty & self-care      | 20                    |
| Healthy & Beauty / veterinary              | 20                    |
| Healthy & Beauty / other                   | 20                    |
| Bank services / transfers                  | 20                    |
| Bank services / withdrawal                 | 20                    |
| Bank services / general fees               | 20                    |
| Bank services / other                      | 20                    |
| Other / taxes                              | 20                    |
| Other / kids                               | 20                    |
| Other / pets                               | 20                    |
| Other / other                              | 20                    |

### Training Hyperparameters
- batch_size: (26, 26)
- 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 |
|:------:|:-----:|:-------------:|:---------------:|
| 0.0000 | 1     | 0.2084        | -               |
| 0.0012 | 50    | 0.2041        | -               |
| 0.0000 | 1     | 0.1841        | -               |
| 0.0017 | 50    | 0.219         | -               |
| 0.0034 | 100   | 0.2197        | -               |
| 0.0052 | 150   | 0.1724        | -               |
| 0.0069 | 200   | 0.2291        | -               |
| 0.0086 | 250   | 0.1693        | -               |
| 0.0103 | 300   | 0.0832        | -               |
| 0.0120 | 350   | 0.1414        | -               |
| 0.0137 | 400   | 0.0989        | -               |
| 0.0155 | 450   | 0.0962        | -               |
| 0.0172 | 500   | 0.1132        | -               |
| 0.0189 | 550   | 0.1           | -               |
| 0.0206 | 600   | 0.0561        | -               |
| 0.0223 | 650   | 0.0851        | -               |
| 0.0240 | 700   | 0.0762        | -               |
| 0.0258 | 750   | 0.0876        | -               |
| 0.0275 | 800   | 0.0414        | -               |
| 0.0292 | 850   | 0.0368        | -               |
| 0.0309 | 900   | 0.0409        | -               |
| 0.0326 | 950   | 0.0212        | -               |
| 0.0344 | 1000  | 0.0175        | -               |
| 0.0361 | 1050  | 0.05          | -               |
| 0.0378 | 1100  | 0.0848        | -               |
| 0.0395 | 1150  | 0.0549        | -               |
| 0.0412 | 1200  | 0.0395        | -               |
| 0.0429 | 1250  | 0.029         | -               |
| 0.0447 | 1300  | 0.0047        | -               |
| 0.0464 | 1350  | 0.0387        | -               |
| 0.0481 | 1400  | 0.0268        | -               |
| 0.0498 | 1450  | 0.0531        | -               |
| 0.0515 | 1500  | 0.0038        | -               |
| 0.0532 | 1550  | 0.0226        | -               |
| 0.0550 | 1600  | 0.0349        | -               |
| 0.0567 | 1650  | 0.0106        | -               |
| 0.0584 | 1700  | 0.0049        | -               |
| 0.0601 | 1750  | 0.0171        | -               |
| 0.0618 | 1800  | 0.0066        | -               |
| 0.0636 | 1850  | 0.0066        | -               |
| 0.0653 | 1900  | 0.0039        | -               |
| 0.0670 | 1950  | 0.0016        | -               |
| 0.0687 | 2000  | 0.0414        | -               |
| 0.0704 | 2050  | 0.0172        | -               |
| 0.0721 | 2100  | 0.0039        | -               |
| 0.0739 | 2150  | 0.0036        | -               |
| 0.0756 | 2200  | 0.0334        | -               |
| 0.0773 | 2250  | 0.0025        | -               |
| 0.0790 | 2300  | 0.0022        | -               |
| 0.0807 | 2350  | 0.0017        | -               |
| 0.0825 | 2400  | 0.0015        | -               |
| 0.0842 | 2450  | 0.0125        | -               |
| 0.0859 | 2500  | 0.0023        | -               |
| 0.0876 | 2550  | 0.0023        | -               |
| 0.0893 | 2600  | 0.0013        | -               |
| 0.0910 | 2650  | 0.0728        | -               |
| 0.0928 | 2700  | 0.0141        | -               |
| 0.0945 | 2750  | 0.0332        | -               |
| 0.0962 | 2800  | 0.0632        | -               |
| 0.0979 | 2850  | 0.0042        | -               |
| 0.0996 | 2900  | 0.0117        | -               |
| 0.1013 | 2950  | 0.0014        | -               |
| 0.1031 | 3000  | 0.0013        | -               |
| 0.1048 | 3050  | 0.0464        | -               |
| 0.1065 | 3100  | 0.0031        | -               |
| 0.1082 | 3150  | 0.0007        | -               |
| 0.1099 | 3200  | 0.0008        | -               |
| 0.1117 | 3250  | 0.001         | -               |
| 0.1134 | 3300  | 0.001         | -               |
| 0.1151 | 3350  | 0.0016        | -               |
| 0.1168 | 3400  | 0.0006        | -               |
| 0.1185 | 3450  | 0.0005        | -               |
| 0.1202 | 3500  | 0.0006        | -               |
| 0.1220 | 3550  | 0.0008        | -               |
| 0.1237 | 3600  | 0.0368        | -               |
| 0.1254 | 3650  | 0.0026        | -               |
| 0.1271 | 3700  | 0.0372        | -               |
| 0.1288 | 3750  | 0.0006        | -               |
| 0.1305 | 3800  | 0.0005        | -               |
| 0.1323 | 3850  | 0.0276        | -               |
| 0.1340 | 3900  | 0.0007        | -               |
| 0.1357 | 3950  | 0.0013        | -               |
| 0.1374 | 4000  | 0.0008        | -               |
| 0.1391 | 4050  | 0.0018        | -               |
| 0.1409 | 4100  | 0.0292        | -               |
| 0.1426 | 4150  | 0.0102        | -               |
| 0.1443 | 4200  | 0.0093        | -               |
| 0.1460 | 4250  | 0.0022        | -               |
| 0.1477 | 4300  | 0.0032        | -               |
| 0.1494 | 4350  | 0.001         | -               |
| 0.1512 | 4400  | 0.0006        | -               |
| 0.1529 | 4450  | 0.0007        | -               |
| 0.1546 | 4500  | 0.0007        | -               |
| 0.1563 | 4550  | 0.0007        | -               |
| 0.1580 | 4600  | 0.0007        | -               |
| 0.1597 | 4650  | 0.0011        | -               |
| 0.1615 | 4700  | 0.0008        | -               |
| 0.1632 | 4750  | 0.0374        | -               |
| 0.1649 | 4800  | 0.0004        | -               |
| 0.1666 | 4850  | 0.0008        | -               |
| 0.1683 | 4900  | 0.005         | -               |
| 0.1701 | 4950  | 0.0013        | -               |
| 0.1718 | 5000  | 0.0016        | -               |
| 0.1735 | 5050  | 0.0006        | -               |
| 0.1752 | 5100  | 0.0007        | -               |
| 0.1769 | 5150  | 0.0007        | -               |
| 0.1786 | 5200  | 0.0004        | -               |
| 0.1804 | 5250  | 0.0003        | -               |
| 0.1821 | 5300  | 0.0004        | -               |
| 0.1838 | 5350  | 0.0004        | -               |
| 0.1855 | 5400  | 0.0002        | -               |
| 0.1872 | 5450  | 0.036         | -               |
| 0.1890 | 5500  | 0.0003        | -               |
| 0.1907 | 5550  | 0.0003        | -               |
| 0.1924 | 5600  | 0.0003        | -               |
| 0.1941 | 5650  | 0.0006        | -               |
| 0.1958 | 5700  | 0.0005        | -               |
| 0.1975 | 5750  | 0.0057        | -               |
| 0.1993 | 5800  | 0.0008        | -               |
| 0.2010 | 5850  | 0.0002        | -               |
| 0.2027 | 5900  | 0.0013        | -               |
| 0.2044 | 5950  | 0.0004        | -               |
| 0.2061 | 6000  | 0.0002        | -               |
| 0.2078 | 6050  | 0.0002        | -               |
| 0.2096 | 6100  | 0.0015        | -               |
| 0.2113 | 6150  | 0.037         | -               |
| 0.2130 | 6200  | 0.0003        | -               |
| 0.2147 | 6250  | 0.0003        | -               |
| 0.2164 | 6300  | 0.0002        | -               |
| 0.2182 | 6350  | 0.0003        | -               |
| 0.2199 | 6400  | 0.0005        | -               |
| 0.2216 | 6450  | 0.0004        | -               |
| 0.2233 | 6500  | 0.0042        | -               |
| 0.2250 | 6550  | 0.0004        | -               |
| 0.2267 | 6600  | 0.0006        | -               |
| 0.2285 | 6650  | 0.0004        | -               |
| 0.2302 | 6700  | 0.0005        | -               |
| 0.2319 | 6750  | 0.0021        | -               |
| 0.2336 | 6800  | 0.0003        | -               |
| 0.2353 | 6850  | 0.0003        | -               |
| 0.2370 | 6900  | 0.0005        | -               |
| 0.2388 | 6950  | 0.0003        | -               |
| 0.2405 | 7000  | 0.0002        | -               |
| 0.2422 | 7050  | 0.0003        | -               |
| 0.2439 | 7100  | 0.0004        | -               |
| 0.2456 | 7150  | 0.0005        | -               |
| 0.2474 | 7200  | 0.0005        | -               |
| 0.2491 | 7250  | 0.001         | -               |
| 0.2508 | 7300  | 0.0055        | -               |
| 0.2525 | 7350  | 0.0005        | -               |
| 0.2542 | 7400  | 0.0005        | -               |
| 0.2559 | 7450  | 0.0007        | -               |
| 0.2577 | 7500  | 0.0002        | -               |
| 0.2594 | 7550  | 0.0745        | -               |
| 0.2611 | 7600  | 0.0003        | -               |
| 0.2628 | 7650  | 0.0002        | -               |
| 0.2645 | 7700  | 0.0002        | -               |
| 0.2662 | 7750  | 0.0004        | -               |
| 0.2680 | 7800  | 0.0002        | -               |
| 0.2697 | 7850  | 0.0002        | -               |
| 0.2714 | 7900  | 0.0003        | -               |
| 0.2731 | 7950  | 0.0002        | -               |
| 0.2748 | 8000  | 0.0002        | -               |
| 0.2766 | 8050  | 0.0003        | -               |
| 0.2783 | 8100  | 0.0003        | -               |
| 0.2800 | 8150  | 0.0313        | -               |
| 0.2817 | 8200  | 0.0007        | -               |
| 0.2834 | 8250  | 0.0002        | -               |
| 0.2851 | 8300  | 0.0003        | -               |
| 0.2869 | 8350  | 0.0003        | -               |
| 0.2886 | 8400  | 0.0003        | -               |
| 0.2903 | 8450  | 0.0002        | -               |
| 0.2920 | 8500  | 0.0003        | -               |
| 0.2937 | 8550  | 0.0154        | -               |
| 0.2955 | 8600  | 0.0003        | -               |
| 0.2972 | 8650  | 0.0005        | -               |
| 0.2989 | 8700  | 0.0041        | -               |
| 0.3006 | 8750  | 0.0003        | -               |
| 0.3023 | 8800  | 0.0002        | -               |
| 0.3040 | 8850  | 0.0003        | -               |
| 0.3058 | 8900  | 0.0001        | -               |
| 0.3075 | 8950  | 0.0005        | -               |
| 0.3092 | 9000  | 0.0022        | -               |
| 0.3109 | 9050  | 0.0002        | -               |
| 0.3126 | 9100  | 0.0003        | -               |
| 0.3143 | 9150  | 0.0002        | -               |
| 0.3161 | 9200  | 0.0001        | -               |
| 0.3178 | 9250  | 0.0002        | -               |
| 0.3195 | 9300  | 0.0001        | -               |
| 0.3212 | 9350  | 0.0002        | -               |
| 0.3229 | 9400  | 0.0002        | -               |
| 0.3247 | 9450  | 0.0003        | -               |
| 0.3264 | 9500  | 0.0017        | -               |
| 0.3281 | 9550  | 0.003         | -               |
| 0.3298 | 9600  | 0.0039        | -               |
| 0.3315 | 9650  | 0.0028        | -               |
| 0.3332 | 9700  | 0.0037        | -               |
| 0.3350 | 9750  | 0.0005        | -               |
| 0.3367 | 9800  | 0.0352        | -               |
| 0.3384 | 9850  | 0.0006        | -               |
| 0.3401 | 9900  | 0.0006        | -               |
| 0.3418 | 9950  | 0.0004        | -               |
| 0.3435 | 10000 | 0.0002        | -               |
| 0.3453 | 10050 | 0.0012        | -               |
| 0.3470 | 10100 | 0.0002        | -               |
| 0.3487 | 10150 | 0.0003        | -               |
| 0.3504 | 10200 | 0.0002        | -               |
| 0.3521 | 10250 | 0.0002        | -               |
| 0.3539 | 10300 | 0.0004        | -               |
| 0.3556 | 10350 | 0.0003        | -               |
| 0.3573 | 10400 | 0.0003        | -               |
| 0.3590 | 10450 | 0.0002        | -               |
| 0.3607 | 10500 | 0.0004        | -               |
| 0.3624 | 10550 | 0.0004        | -               |
| 0.3642 | 10600 | 0.0371        | -               |
| 0.3659 | 10650 | 0.0005        | -               |
| 0.3676 | 10700 | 0.0236        | -               |
| 0.3693 | 10750 | 0.0002        | -               |
| 0.3710 | 10800 | 0.0002        | -               |
| 0.3727 | 10850 | 0.0003        | -               |
| 0.3745 | 10900 | 0.0004        | -               |
| 0.3762 | 10950 | 0.0002        | -               |
| 0.3779 | 11000 | 0.0002        | -               |
| 0.3796 | 11050 | 0.0002        | -               |
| 0.3813 | 11100 | 0.0001        | -               |
| 0.3831 | 11150 | 0.0001        | -               |
| 0.3848 | 11200 | 0.0002        | -               |
| 0.3865 | 11250 | 0.0002        | -               |
| 0.3882 | 11300 | 0.0001        | -               |
| 0.3899 | 11350 | 0.0001        | -               |
| 0.3916 | 11400 | 0.0351        | -               |
| 0.3934 | 11450 | 0.0003        | -               |
| 0.3951 | 11500 | 0.0001        | -               |
| 0.3968 | 11550 | 0.0326        | -               |
| 0.3985 | 11600 | 0.0001        | -               |
| 0.4002 | 11650 | 0.0006        | -               |
| 0.4020 | 11700 | 0.0002        | -               |
| 0.4037 | 11750 | 0.0004        | -               |
| 0.4054 | 11800 | 0.0002        | -               |
| 0.4071 | 11850 | 0.0002        | -               |
| 0.4088 | 11900 | 0.0001        | -               |
| 0.4105 | 11950 | 0.0002        | -               |
| 0.4123 | 12000 | 0.0002        | -               |
| 0.4140 | 12050 | 0.0003        | -               |
| 0.4157 | 12100 | 0.0003        | -               |
| 0.4174 | 12150 | 0.0001        | -               |
| 0.4191 | 12200 | 0.0001        | -               |
| 0.4208 | 12250 | 0.0003        | -               |
| 0.4226 | 12300 | 0.0001        | -               |
| 0.4243 | 12350 | 0.0002        | -               |
| 0.4260 | 12400 | 0.0003        | -               |
| 0.4277 | 12450 | 0.0002        | -               |
| 0.4294 | 12500 | 0.0002        | -               |
| 0.4312 | 12550 | 0.0002        | -               |
| 0.4329 | 12600 | 0.0002        | -               |
| 0.4346 | 12650 | 0.0007        | -               |
| 0.4363 | 12700 | 0.0002        | -               |
| 0.4380 | 12750 | 0.0003        | -               |
| 0.4397 | 12800 | 0.0001        | -               |
| 0.4415 | 12850 | 0.0001        | -               |
| 0.4432 | 12900 | 0.0002        | -               |
| 0.4449 | 12950 | 0.001         | -               |
| 0.4466 | 13000 | 0.0002        | -               |
| 0.4483 | 13050 | 0.0002        | -               |
| 0.4500 | 13100 | 0.0005        | -               |
| 0.4518 | 13150 | 0.0002        | -               |
| 0.4535 | 13200 | 0.0002        | -               |
| 0.4552 | 13250 | 0.0001        | -               |
| 0.4569 | 13300 | 0.0003        | -               |
| 0.4586 | 13350 | 0.0013        | -               |
| 0.4604 | 13400 | 0.0002        | -               |
| 0.4621 | 13450 | 0.0372        | -               |
| 0.4638 | 13500 | 0.0002        | -               |
| 0.4655 | 13550 | 0.0003        | -               |
| 0.4672 | 13600 | 0.0025        | -               |
| 0.4689 | 13650 | 0.0002        | -               |
| 0.4707 | 13700 | 0.0002        | -               |
| 0.4724 | 13750 | 0.0001        | -               |
| 0.4741 | 13800 | 0.0002        | -               |
| 0.4758 | 13850 | 0.0001        | -               |
| 0.4775 | 13900 | 0.0003        | -               |
| 0.4792 | 13950 | 0.0026        | -               |
| 0.4810 | 14000 | 0.0002        | -               |
| 0.4827 | 14050 | 0.0002        | -               |
| 0.4844 | 14100 | 0.0002        | -               |
| 0.4861 | 14150 | 0.0002        | -               |
| 0.4878 | 14200 | 0.0002        | -               |
| 0.4896 | 14250 | 0.0002        | -               |
| 0.4913 | 14300 | 0.0003        | -               |
| 0.4930 | 14350 | 0.0002        | -               |
| 0.4947 | 14400 | 0.0014        | -               |
| 0.4964 | 14450 | 0.0002        | -               |
| 0.4981 | 14500 | 0.0001        | -               |
| 0.4999 | 14550 | 0.0002        | -               |
| 0.5016 | 14600 | 0.0001        | -               |
| 0.5033 | 14650 | 0.0002        | -               |
| 0.5050 | 14700 | 0.0001        | -               |
| 0.5067 | 14750 | 0.0002        | -               |
| 0.5085 | 14800 | 0.0001        | -               |
| 0.5102 | 14850 | 0.0001        | -               |
| 0.5119 | 14900 | 0.0002        | -               |
| 0.5136 | 14950 | 0.0001        | -               |
| 0.5153 | 15000 | 0.0001        | -               |
| 0.5170 | 15050 | 0.0001        | -               |
| 0.5188 | 15100 | 0.0002        | -               |
| 0.5205 | 15150 | 0.0002        | -               |
| 0.5222 | 15200 | 0.0002        | -               |
| 0.5239 | 15250 | 0.0001        | -               |
| 0.5256 | 15300 | 0.0001        | -               |
| 0.5273 | 15350 | 0.0001        | -               |
| 0.5291 | 15400 | 0.0001        | -               |
| 0.5308 | 15450 | 0.0001        | -               |
| 0.5325 | 15500 | 0.0001        | -               |
| 0.5342 | 15550 | 0.0001        | -               |
| 0.5359 | 15600 | 0.0001        | -               |
| 0.5377 | 15650 | 0.0001        | -               |
| 0.5394 | 15700 | 0.0001        | -               |
| 0.5411 | 15750 | 0.0001        | -               |
| 0.5428 | 15800 | 0.0001        | -               |
| 0.5445 | 15850 | 0.0002        | -               |
| 0.5462 | 15900 | 0.0002        | -               |
| 0.5480 | 15950 | 0.0001        | -               |
| 0.5497 | 16000 | 0.0001        | -               |
| 0.5514 | 16050 | 0.0001        | -               |
| 0.5531 | 16100 | 0.0001        | -               |
| 0.5548 | 16150 | 0.0001        | -               |
| 0.5565 | 16200 | 0.0001        | -               |
| 0.5583 | 16250 | 0.0001        | -               |
| 0.5600 | 16300 | 0.0001        | -               |
| 0.5617 | 16350 | 0.0001        | -               |
| 0.5634 | 16400 | 0.0002        | -               |
| 0.5651 | 16450 | 0.0001        | -               |
| 0.5669 | 16500 | 0.0001        | -               |
| 0.5686 | 16550 | 0.0001        | -               |
| 0.5703 | 16600 | 0.0001        | -               |
| 0.5720 | 16650 | 0.0002        | -               |
| 0.5737 | 16700 | 0.0001        | -               |
| 0.5754 | 16750 | 0.0001        | -               |
| 0.5772 | 16800 | 0.0001        | -               |
| 0.5789 | 16850 | 0.0001        | -               |
| 0.5806 | 16900 | 0.0001        | -               |
| 0.5823 | 16950 | 0.0001        | -               |
| 0.5840 | 17000 | 0.0001        | -               |
| 0.5857 | 17050 | 0.0002        | -               |
| 0.5875 | 17100 | 0.0001        | -               |
| 0.5892 | 17150 | 0.0001        | -               |
| 0.5909 | 17200 | 0.0001        | -               |
| 0.5926 | 17250 | 0.0001        | -               |
| 0.5943 | 17300 | 0.0001        | -               |
| 0.5961 | 17350 | 0.0001        | -               |
| 0.5978 | 17400 | 0.0001        | -               |
| 0.5995 | 17450 | 0.0001        | -               |
| 0.6012 | 17500 | 0.0371        | -               |
| 0.6029 | 17550 | 0.0001        | -               |
| 0.6046 | 17600 | 0.0001        | -               |
| 0.6064 | 17650 | 0.0001        | -               |
| 0.6081 | 17700 | 0.0001        | -               |
| 0.6098 | 17750 | 0.0001        | -               |
| 0.6115 | 17800 | 0.0002        | -               |
| 0.6132 | 17850 | 0.0007        | -               |
| 0.6150 | 17900 | 0.0002        | -               |
| 0.6167 | 17950 | 0.0001        | -               |
| 0.6184 | 18000 | 0.0115        | -               |
| 0.6201 | 18050 | 0.0001        | -               |
| 0.6218 | 18100 | 0.0004        | -               |
| 0.6235 | 18150 | 0.0002        | -               |
| 0.6253 | 18200 | 0.0074        | -               |
| 0.6270 | 18250 | 0.0325        | -               |
| 0.6287 | 18300 | 0.0008        | -               |
| 0.6304 | 18350 | 0.0007        | -               |
| 0.6321 | 18400 | 0.0002        | -               |
| 0.6338 | 18450 | 0.0005        | -               |
| 0.6356 | 18500 | 0.0003        | -               |
| 0.6373 | 18550 | 0.0003        | -               |
| 0.6390 | 18600 | 0.0002        | -               |
| 0.6407 | 18650 | 0.0003        | -               |
| 0.6424 | 18700 | 0.0003        | -               |
| 0.6442 | 18750 | 0.0002        | -               |
| 0.6459 | 18800 | 0.0002        | -               |
| 0.6476 | 18850 | 0.0002        | -               |
| 0.6493 | 18900 | 0.0002        | -               |
| 0.6510 | 18950 | 0.0001        | -               |
| 0.6527 | 19000 | 0.0001        | -               |
| 0.6545 | 19050 | 0.0003        | -               |
| 0.6562 | 19100 | 0.0001        | -               |
| 0.6579 | 19150 | 0.0001        | -               |
| 0.6596 | 19200 | 0.0002        | -               |
| 0.6613 | 19250 | 0.0002        | -               |
| 0.6630 | 19300 | 0.0003        | -               |
| 0.6648 | 19350 | 0.0186        | -               |
| 0.6665 | 19400 | 0.0001        | -               |
| 0.6682 | 19450 | 0.0002        | -               |
| 0.6699 | 19500 | 0.0002        | -               |
| 0.6716 | 19550 | 0.0001        | -               |
| 0.6734 | 19600 | 0.0001        | -               |
| 0.6751 | 19650 | 0.0001        | -               |
| 0.6768 | 19700 | 0.0001        | -               |
| 0.6785 | 19750 | 0.0001        | -               |
| 0.6802 | 19800 | 0.0001        | -               |
| 0.6819 | 19850 | 0.0001        | -               |
| 0.6837 | 19900 | 0.0001        | -               |
| 0.6854 | 19950 | 0.0371        | -               |
| 0.6871 | 20000 | 0.0001        | -               |
| 0.6888 | 20050 | 0.0001        | -               |
| 0.6905 | 20100 | 0.0001        | -               |
| 0.6922 | 20150 | 0.0001        | -               |
| 0.6940 | 20200 | 0.0001        | -               |
| 0.6957 | 20250 | 0.0001        | -               |
| 0.6974 | 20300 | 0.0001        | -               |
| 0.6991 | 20350 | 0.0001        | -               |
| 0.7008 | 20400 | 0.0001        | -               |
| 0.7026 | 20450 | 0.0001        | -               |
| 0.7043 | 20500 | 0.0002        | -               |
| 0.7060 | 20550 | 0.0001        | -               |
| 0.7077 | 20600 | 0.0002        | -               |
| 0.7094 | 20650 | 0.0001        | -               |
| 0.7111 | 20700 | 0.0001        | -               |
| 0.7129 | 20750 | 0.0001        | -               |
| 0.7146 | 20800 | 0.0001        | -               |
| 0.7163 | 20850 | 0.0001        | -               |
| 0.7180 | 20900 | 0.0001        | -               |
| 0.7197 | 20950 | 0.0001        | -               |
| 0.7215 | 21000 | 0.0001        | -               |
| 0.7232 | 21050 | 0.0001        | -               |
| 0.7249 | 21100 | 0.0363        | -               |
| 0.7266 | 21150 | 0.0001        | -               |
| 0.7283 | 21200 | 0.0001        | -               |
| 0.7300 | 21250 | 0.0001        | -               |
| 0.7318 | 21300 | 0.0001        | -               |
| 0.7335 | 21350 | 0.0001        | -               |
| 0.7352 | 21400 | 0.0001        | -               |
| 0.7369 | 21450 | 0.0001        | -               |
| 0.7386 | 21500 | 0.0001        | -               |
| 0.7403 | 21550 | 0.0001        | -               |
| 0.7421 | 21600 | 0.0001        | -               |
| 0.7438 | 21650 | 0.0001        | -               |
| 0.7455 | 21700 | 0.0001        | -               |
| 0.7472 | 21750 | 0.0001        | -               |
| 0.7489 | 21800 | 0.0001        | -               |
| 0.7507 | 21850 | 0.0001        | -               |
| 0.7524 | 21900 | 0.0001        | -               |
| 0.7541 | 21950 | 0.0001        | -               |
| 0.7558 | 22000 | 0.0001        | -               |
| 0.7575 | 22050 | 0.0358        | -               |
| 0.7592 | 22100 | 0.0007        | -               |
| 0.7610 | 22150 | 0.0001        | -               |
| 0.7627 | 22200 | 0.0001        | -               |
| 0.7644 | 22250 | 0.0001        | -               |
| 0.7661 | 22300 | 0.0001        | -               |
| 0.7678 | 22350 | 0.0001        | -               |
| 0.7695 | 22400 | 0.0368        | -               |
| 0.7713 | 22450 | 0.0001        | -               |
| 0.7730 | 22500 | 0.0001        | -               |
| 0.7747 | 22550 | 0.0001        | -               |
| 0.7764 | 22600 | 0.0001        | -               |
| 0.7781 | 22650 | 0.0001        | -               |
| 0.7799 | 22700 | 0.0003        | -               |
| 0.7816 | 22750 | 0.0001        | -               |
| 0.7833 | 22800 | 0.0001        | -               |
| 0.7850 | 22850 | 0.0001        | -               |
| 0.7867 | 22900 | 0.0001        | -               |
| 0.7884 | 22950 | 0.0001        | -               |
| 0.7902 | 23000 | 0.0001        | -               |
| 0.7919 | 23050 | 0.0001        | -               |
| 0.7936 | 23100 | 0.0001        | -               |
| 0.7953 | 23150 | 0.0001        | -               |
| 0.7970 | 23200 | 0.0001        | -               |
| 0.7987 | 23250 | 0.0001        | -               |
| 0.8005 | 23300 | 0.0001        | -               |
| 0.8022 | 23350 | 0.0001        | -               |
| 0.8039 | 23400 | 0.0002        | -               |
| 0.8056 | 23450 | 0.0001        | -               |
| 0.8073 | 23500 | 0.0001        | -               |
| 0.8091 | 23550 | 0.0001        | -               |
| 0.8108 | 23600 | 0.0001        | -               |
| 0.8125 | 23650 | 0.0001        | -               |
| 0.8142 | 23700 | 0.0173        | -               |
| 0.8159 | 23750 | 0.0001        | -               |
| 0.8176 | 23800 | 0.0001        | -               |
| 0.8194 | 23850 | 0.0001        | -               |
| 0.8211 | 23900 | 0.0001        | -               |
| 0.8228 | 23950 | 0.0001        | -               |
| 0.8245 | 24000 | 0.0001        | -               |
| 0.8262 | 24050 | 0.0001        | -               |
| 0.8280 | 24100 | 0.0001        | -               |
| 0.8297 | 24150 | 0.0001        | -               |
| 0.8314 | 24200 | 0.0001        | -               |
| 0.8331 | 24250 | 0.0001        | -               |
| 0.8348 | 24300 | 0.0001        | -               |
| 0.8365 | 24350 | 0.0001        | -               |
| 0.8383 | 24400 | 0.0001        | -               |
| 0.8400 | 24450 | 0.0001        | -               |
| 0.8417 | 24500 | 0.0003        | -               |
| 0.8434 | 24550 | 0.0002        | -               |
| 0.8451 | 24600 | 0.0002        | -               |
| 0.8468 | 24650 | 0.0001        | -               |
| 0.8486 | 24700 | 0.0001        | -               |
| 0.8503 | 24750 | 0.0001        | -               |
| 0.8520 | 24800 | 0.0004        | -               |
| 0.8537 | 24850 | 0.0001        | -               |
| 0.8554 | 24900 | 0.0001        | -               |
| 0.8572 | 24950 | 0.0001        | -               |
| 0.8589 | 25000 | 0.0001        | -               |
| 0.8606 | 25050 | 0.0001        | -               |
| 0.8623 | 25100 | 0.0372        | -               |
| 0.8640 | 25150 | 0.0001        | -               |
| 0.8657 | 25200 | 0.0001        | -               |
| 0.8675 | 25250 | 0.0001        | -               |
| 0.8692 | 25300 | 0.0001        | -               |
| 0.8709 | 25350 | 0.0001        | -               |
| 0.8726 | 25400 | 0.0001        | -               |
| 0.8743 | 25450 | 0.0001        | -               |
| 0.8760 | 25500 | 0.0001        | -               |
| 0.8778 | 25550 | 0.0002        | -               |
| 0.8795 | 25600 | 0.0001        | -               |
| 0.8812 | 25650 | 0.0001        | -               |
| 0.8829 | 25700 | 0.0001        | -               |
| 0.8846 | 25750 | 0.0001        | -               |
| 0.8864 | 25800 | 0.0001        | -               |
| 0.8881 | 25850 | 0.0001        | -               |
| 0.8898 | 25900 | 0.0001        | -               |
| 0.8915 | 25950 | 0.0001        | -               |
| 0.8932 | 26000 | 0.0001        | -               |
| 0.8949 | 26050 | 0.0001        | -               |
| 0.8967 | 26100 | 0.0001        | -               |
| 0.8984 | 26150 | 0.0001        | -               |
| 0.9001 | 26200 | 0.0001        | -               |
| 0.9018 | 26250 | 0.0001        | -               |
| 0.9035 | 26300 | 0.0001        | -               |
| 0.9052 | 26350 | 0.0001        | -               |
| 0.9070 | 26400 | 0.0001        | -               |
| 0.9087 | 26450 | 0.0001        | -               |
| 0.9104 | 26500 | 0.0001        | -               |
| 0.9121 | 26550 | 0.0001        | -               |
| 0.9138 | 26600 | 0.0001        | -               |
| 0.9156 | 26650 | 0.0001        | -               |
| 0.9173 | 26700 | 0.0001        | -               |
| 0.9190 | 26750 | 0.0001        | -               |
| 0.9207 | 26800 | 0.0001        | -               |
| 0.9224 | 26850 | 0.0001        | -               |
| 0.9241 | 26900 | 0.0001        | -               |
| 0.9259 | 26950 | 0.0001        | -               |
| 0.9276 | 27000 | 0.0001        | -               |
| 0.9293 | 27050 | 0.0001        | -               |
| 0.9310 | 27100 | 0.0001        | -               |
| 0.9327 | 27150 | 0.0001        | -               |
| 0.9345 | 27200 | 0.0001        | -               |
| 0.9362 | 27250 | 0.0001        | -               |
| 0.9379 | 27300 | 0.0001        | -               |
| 0.9396 | 27350 | 0.0001        | -               |
| 0.9413 | 27400 | 0.0001        | -               |
| 0.9430 | 27450 | 0.0001        | -               |
| 0.9448 | 27500 | 0.0001        | -               |
| 0.9465 | 27550 | 0.0001        | -               |
| 0.9482 | 27600 | 0.0001        | -               |
| 0.9499 | 27650 | 0.0001        | -               |
| 0.9516 | 27700 | 0.0001        | -               |
| 0.9533 | 27750 | 0.0001        | -               |
| 0.9551 | 27800 | 0.0001        | -               |
| 0.9568 | 27850 | 0.0001        | -               |
| 0.9585 | 27900 | 0.0001        | -               |
| 0.9602 | 27950 | 0.0001        | -               |
| 0.9619 | 28000 | 0.0001        | -               |
| 0.9637 | 28050 | 0.0001        | -               |
| 0.9654 | 28100 | 0.0001        | -               |
| 0.9671 | 28150 | 0.0001        | -               |
| 0.9688 | 28200 | 0.0001        | -               |
| 0.9705 | 28250 | 0.0001        | -               |
| 0.9722 | 28300 | 0.0001        | -               |
| 0.9740 | 28350 | 0.0001        | -               |
| 0.9757 | 28400 | 0.0001        | -               |
| 0.9774 | 28450 | 0.0001        | -               |
| 0.9791 | 28500 | 0.0001        | -               |
| 0.9808 | 28550 | 0.0001        | -               |
| 0.9825 | 28600 | 0.0001        | -               |
| 0.9843 | 28650 | 0.0001        | -               |
| 0.9860 | 28700 | 0.0001        | -               |
| 0.9877 | 28750 | 0.0001        | -               |
| 0.9894 | 28800 | 0.0001        | -               |
| 0.9911 | 28850 | 0.0001        | -               |
| 0.9929 | 28900 | 0.0001        | -               |
| 0.9946 | 28950 | 0.0001        | -               |
| 0.9963 | 29000 | 0.0001        | -               |
| 0.9980 | 29050 | 0.0374        | -               |
| 0.9997 | 29100 | 0.0001        | -               |

### Framework Versions
- Python: 3.10.13
- SetFit: 1.0.3
- Sentence Transformers: 2.6.1
- Transformers: 4.38.2
- 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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