ner-bert-large-cased-pt-contratos_tceal

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ner-bert-large-cased-pt-contratos_tceal

This model was trained from scratch on the contratos_tceal dataset. It achieves the following results on the evaluation set:

• Loss: 0.2229
• Precision: 0.9185
• Recall: 0.9459
• F1: 0.9320
• Accuracy: 0.9639

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0