hugojordan23/JbKHH_xlni

camembert-base-finetuned-xnli-fr

This model is a fine-tuned version of camembert-base on the xnli dataset. It achieves the following results on the evaluation set:

• Loss: 0.5061
• Accuracy: 0.8104

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: 2e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5286	1.0	6136	0.5082	0.7908
0.4568	2.0	12272	0.5018	0.8052
0.3941	3.0	18408	0.5061	0.8104

Framework versions

• Transformers 4.51.3
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.1