bert-finetuned-ner

This model is a fine-tuned version of MarcosAutuori/bert-finetuned-ner on the conll2003 dataset. It achieves the following results on the evaluation set:

• Loss: 0.0639
• Precision: 0.9379
• Recall: 0.9532
• F1: 0.9455
• Accuracy: 0.9870

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0123	1.0	1756	0.0639	0.9379	0.9532	0.9455	0.9870

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1