target-abroad-fr

• Loss: 0.5710
• Accuracy: 0.9154
• Precision: 0.7473
• Recall: 0.8
• F1: 0.7727
• Roc Auc: 0.9454
• Pr Auc: 0.8535

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 0.06
• num_epochs: 4

Training results

Framework versions

• Transformers 5.0.0
• Pytorch 2.9.0+cu126
• Datasets 4.5.0
• Tokenizers 0.22.2