DioulaD/classificateur-intention_camembert

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classificateur-intention_camembert

This model is a fine-tuned version of camembert/camembert-base on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.5463
• —Accuracy: 0.8889

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 0.0002
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —training_steps: 100

Training results

Framework versions

• —Transformers 4.39.0.dev0
• —Pytorch 2.2.1+cu121
• —Datasets 2.17.1
• —Tokenizers 0.15.2