Downloads · 30 days
9
2% of all-time downloads
bert-base-dutch-cased-finetuned-ner
samihaelmansouri/bert-base-dutch-cased-finetuned-ner
bert-base-dutch-cased-finetuned-ner is a token classification model from samihaelmansouri. Use it when you need labels on individual words, such as names. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
533
Public
Parameters
109M
4.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors434 MB · 100%
At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Aug 16, 2025
- Updated
- Aug 17, 2025
- SHA
- f83c83ed
Try a prompt
Base models
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-base-dutch-cased-finetuned-ner
This model is a fine-tuned version of GroNLP/bert-base-dutch-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0004
- Precision: 1.0
- Recall: 1.0
- F1: 1.0
- Accuracy: 1.0
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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 27 | 0.0399 | 0.5495 | 0.3205 | 0.4049 | 0.9859 |
| No log | 2.0 | 54 | 0.0072 | 0.9868 | 0.9615 | 0.9740 | 0.9989 |
| No log | 3.0 | 81 | 0.0034 | 1.0 | 0.9744 | 0.9870 | 0.9995 |
| No log | 4.0 | 108 | 0.0011 | 1.0 | 0.9872 | 0.9935 | 0.9998 |
| No log | 5.0 | 135 | 0.0007 | 1.0 | 1.0 | 1.0 | 1.0 |
| No log | 6.0 | 162 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
| No log | 7.0 | 189 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
| No log | 8.0 | 216 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.55.1
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Created
- Aug 16, 2025
- Updated
- Aug 17, 2025