Usage example
from transformers import pipeline
classifier = pipeline("text-classification", model="TPM-28/Ask_Aegis")
text = "bonjour j'aurais besoin d'aide pour la config d'un bot."
result = classifier(text)[0]
print(f"Texte: {text}")
print(f"Prédiction: {result['label']}")
print(f"Positive = {result['score']:.2%}, Négative = {1 - result['score']:.2%}")
Metrics
loss: 0.1480395644903183
f1: 0.8282828282828283
precision: 0.82
recall: 0.8367346938775511
auc: 0.9795918367346939
accuracy: 0.9615384615384616
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