camembert_diabetes_emergency_classifier

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camembert_emergency_classifier

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

• Loss: 0.0555
• Accuracy: {'accuracy': 0.9890965732087228}
• Precision: {'precision': 0.9885321100917431}
• Recall: {'recall': 0.9953810623556582}
• F1: {'f1': 0.9919447640966629}

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: 8
• eval_batch_size: 8
• 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
• num_epochs: 4

Training results

Framework versions

• Transformers 4.57.3
• Pytorch 2.9.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.1