Downloads · 30 days
6
2% of all-time downloads
bert-finetuned-ner
raulgdp/bert-finetuned-ner
bert-finetuned-ner is a token classification model from raulgdp. 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
383
Public
Parameters
124M
15.7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors496 MB · 55%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Jul 26, 2023
- Updated
- Apr 16, 2025
- SHA
- a6c647bf
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
Este es un moelo afinado sobre el modelo BSC-LT/roberta-base-bne-capitel-ner sobre conll2002 dataset. Se lora un excelente rendimiento porque el modelo original fue preentrenado con textos en español logrando los siguientes resultados:
- Loss: 0.0950
- Precision: 0.8599
- Recall: 0.8773
- F1: 0.8685
- Accuracy: 0.9787
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1045 | 1.0 | 521 | 0.0932 | 0.8593 | 0.8704 | 0.8648 | 0.9764 |
| 0.0343 | 2.0 | 1042 | 0.0870 | 0.8616 | 0.8757 | 0.8686 | 0.9781 |
| 0.019 | 3.0 | 1563 | 0.0950 | 0.8599 | 0.8773 | 0.8685 | 0.9787 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 2.20.0
- Tokenizers 0.20.0
- Task
- Token Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Jul 26, 2023
- Updated
- Apr 16, 2025