bert-base-multilingual-cased-finetuned-lener_br-finetuned-lener-br

This model is a fine-tuned version of bert-base-multilingual-cased on the lener_br dataset. It achieves the following results on the evaluation set:

• Loss: nan (To update)
• Precision: 0.9122 (To update)
• Recall: 0.9163 (To update)
• F1: 0.9142 (To update)
• Accuracy: 0.9826 (To update)

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters (To update)

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 15
• mixed_precision_training: Native AMP

Training results (To update)

Framework versions (To update)

• Transformers 4.23.1
• Pytorch 1.12.1+cu113
• Datasets 2.6.1
• Tokenizers 0.13.1