BioClinical-ModernBERT-base-Symptom2Disease_WITH-DROPOUT-1024

This model is a fine-tuned version of thomas-sounack/BioClinical-ModernBERT-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5515
• Accuracy: 0.9545

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: 7.359552467551551e-05
• train_batch_size: 128
• eval_batch_size: 16
• seed: 1024
• 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: 2
• num_epochs: 8
• label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.5945	1.0	3	1.2203	0.4091
1.2782	2.0	6	0.8503	0.8409
0.9045	3.0	9	0.6354	0.9091
0.6434	4.0	12	0.5134	0.8864
0.5588	5.0	15	0.5156	0.9773
0.5302	6.0	18	0.5504	0.9545
0.5345	7.0	21	0.5581	0.9318
0.5304	8.0	24	0.5515	0.9545

Framework versions

• Transformers 4.56.2
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.1