--- license: apache-2.0 base_model: bert-base-cased tags: - generated_from_trainer datasets: - conll2003 model-index: - name: bert-finetuned-ner results: [] --- # bert-finetuned-ner This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/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: 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 - training_steps: 50 ### Training results | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| | No log | 0.0285 | 50 | 0.6677 | 0.0925 | 0.0219 | 0.0354 | 0.7927 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.1+cpu - Datasets 2.12.0 - Tokenizers 0.19.1