Plant-gob-roberta-base-bne-capitel-ner

Este modelo fue afinado sobre el modelo BSC-LT/roberta-base-bne-capitel-ner sobre conll2002 dataset con un batch_size de 16 logrando la siguiente precisión.

• Loss: 0.1071
• Precision: 0.8628
• Recall: 0.8826
• F1: 0.8726
• Accuracy: 0.9785

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3