Downloads · 30 days
9
8% of all-time downloads
bert-finetuned-ner
josh4fun/bert-finetuned-ner
bert-finetuned-ner is a token classification model from josh4fun. 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
111
Public
Parameters
108M
2.6 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
- Mar 26, 2026
- Updated
- Mar 27, 2026
- SHA
- edeb7d66
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: 0.1228
- Precision: 0.9345
- Recall: 0.9488
- F1: 0.9416
- Accuracy: 0.9864
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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 |
|---|---|---|---|---|---|---|---|
| 0.4732 | 1.0 | 878 | 0.1339 | 0.8998 | 0.9298 | 0.9146 | 0.9821 |
| 0.0945 | 2.0 | 1756 | 0.1294 | 0.9297 | 0.9458 | 0.9377 | 0.9857 |
| 0.0542 | 3.0 | 2634 | 0.1228 | 0.9345 | 0.9488 | 0.9416 | 0.9864 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.2
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 26, 2026
- Updated
- Mar 27, 2026