nominal-groups-recognition-roberta-clinical-wl-es

• Loss: 0.2226
• Body Part Precision: 0.7427
• Body Part Recall: 0.7966
• Body Part F1: 0.7687
• Body Part Number: 413
• Disease Precision: 0.7915
• Disease Recall: 0.8174
• Disease F1: 0.8042
• Disease Number: 975
• Family Member Precision: 0.8286
• Family Member Recall: 0.9667
• Family Member F1: 0.8923
• Family Member Number: 30
• Medication Precision: 0.7905
• Medication Recall: 0.8925
• Medication F1: 0.8384
• Medication Number: 93
• Procedure Precision: 0.7105
• Procedure Recall: 0.7814
• Procedure F1: 0.7443
• Procedure Number: 311
• Overall Precision: 0.7666
• Overall Recall: 0.8128
• Overall F1: 0.7890
• Overall Accuracy: 0.9374

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 13
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3