bert-finetuned-ner

This model is a fine-tuned version of bert-base-cased on the conll2003 dataset.

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: 0.01
• 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
• training_steps: 200

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	0.1139	200	1.1725	0.0	0.0	0.0	0.7612

Framework versions

• Transformers 4.45.2
• Pytorch 2.3.0+cu121
• Datasets 3.0.1
• Tokenizers 0.20.1