ner-bert-base-spanish-wwm-uncased

• Loss: 1.5112
• Body Part Precision: 0.0
• Body Part Recall: 0.0
• Body Part F1: 0.0
• Body Part Number: 0
• Disease Precision: 0.0
• Disease Recall: 0.0
• Disease F1: 0.0
• Disease Number: 0
• Family Member Precision: 0.0
• Family Member Recall: 0.0
• Family Member F1: 0.0
• Family Member Number: 0
• Medication Precision: 0.0
• Medication Recall: 0.0
• Medication F1: 0.0
• Medication Number: 0
• Procedure Precision: 0.0
• Procedure Recall: 0.0
• Procedure F1: 0.0
• Procedure Number: 0
• Overall Precision: 0.0
• Overall Recall: 0.0
• Overall F1: 0.0
• Overall Accuracy: 0.6713

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 5e-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