miguelonana/camembert-bank-post-classifier

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camembert-bank-post-classifier

It classifies posts on an internal social media in 7 categories :

• —Annonce RH & Vie de l'Entreprise
• —Communication de la Direction & Stratégie
• —Formation & Développement
• —Information & Alerte Pratique
• —Projet, Produit & Innovation
• —RSE & Engagement Citoyen
• —Événement Externe & Partenariat

Model description

This model is a fine-tuned version of camembert-base on an unknown dataset.

Intended uses & limitations

Classifying posts under 7 categories.

Training and evaluation data

It achieves the following results on the evaluation set:

• —Loss: 0.5783
• —Accuracy: 0.8682
• —F1: 0.8663

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 2e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 8

Training results

Framework versions

• —Transformers 4.56.1
• —Pytorch 2.8.0+cu126
• —Datasets 4.0.0
• —Tokenizers 0.22.0