bert-finetuned-ner-1

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bert-finetuned-ner-1

Este es modelo resultado de un finetuning de google-bert/bert-base-cased sobre el conll2002 dataset. Los siguientes son los resultados sobre el conjunto de evaluación:

• Training Loss: 0.000900
• Validation Loss: 0.306902
• Precision: 0.805356
• Recall: 0.822381
• F1: 0.813779
• Accuracy: 0.969573

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• num_epochs: 8
• weight_decay: 0.001

Training results