BioClinical-ModernBERT-base-Symptom2Disease_WITHOUT-DROPOUT-42

• Loss: 0.5215
• Accuracy: 0.9511
• F1 Macro: 0.9511
• Precision Macro: 0.9567
• Recall Macro: 0.9511

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 0.0003385381746308142
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• 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: cosine
• lr_scheduler_warmup_steps: 65
• num_epochs: 10
• label_smoothing_factor: 0.1

Training results

Framework versions

• Transformers 5.2.0
• Pytorch 2.10.0+cu128
• Datasets 4.6.1
• Tokenizers 0.22.2