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
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7517	2.0	10	0.4700	0.8889
0.2834	4.0	20	0.3313	0.8889
0.0488	6.0	30	0.3528	0.8889
0.0181	8.0	40	0.6355	0.8889
0.0079	10.0	50	0.6676	0.8889
0.0437	12.0	60	0.5817	0.8889
0.0049	14.0	70	0.4499	0.8889
0.0192	16.0	80	0.5162	0.8889
0.0045	18.0	90	0.5420	0.8889
0.0042	20.0	100	0.5463	0.8889

Framework versions

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