AntoineD/camembert_classification_tools_fr

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

camembertclassificationtools_fr

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

• —Loss: 1.1971
• —Accuracy: 0.8

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: 0.0001
• —trainbatchsize: 24
• —evalbatchsize: 192
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 10

Training results

Framework versions

• —Transformers 4.34.0
• —Pytorch 2.0.1+cu117
• —Datasets 2.14.5
• —Tokenizers 0.14.1