Downloads · 30 days
8
15% of all-time downloads
bert-finetuned-ner
iamnamas/bert-finetuned-ner
bert-finetuned-ner is a token classification model from iamnamas. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
52
Public
Parameters
108M
1.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors431 MB · 100%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jul 23, 2025
- Updated
- Jul 23, 2025
- SHA
- a5ed4366
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
bert-finetuned-ner
This model is a fine-tuned version of bert-base-cased on the conll2003 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0614
- Precision: 0.9619
- Recall: 0.9666
- F1: 0.9643
- Accuracy: 0.9962
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0772 | 1.0 | 1756 | 0.0635 | 0.9518 | 0.9564 | 0.9541 | 0.9951 |
| 0.0341 | 2.0 | 3512 | 0.0656 | 0.9621 | 0.9649 | 0.9635 | 0.9961 |
| 0.024 | 3.0 | 5268 | 0.0614 | 0.9619 | 0.9666 | 0.9643 | 0.9962 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.2
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jul 23, 2025
- Updated
- Jul 23, 2025