Downloads · 30 days
2
3% of all-time downloads
bert-finetuned-ner
tw13023/bert-finetuned-ner
bert-finetuned-ner is a token classification model from tw13023. 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
59
Public
Parameters
108M
2.2 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
- Model type
- bert
- Access
- Public
- Created
- Oct 19, 2024
- Updated
- Oct 19, 2024
- SHA
- c79f0ea7
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: 0.0607
- Precision: 0.9410
- Recall: 0.9520
- F1: 0.9465
- Accuracy: 0.9868
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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0747 | 1.0 | 1756 | 0.0646 | 0.9092 | 0.9387 | 0.9237 | 0.9829 |
| 0.0354 | 2.0 | 3512 | 0.0603 | 0.9358 | 0.9493 | 0.9425 | 0.9864 |
| 0.0235 | 3.0 | 5268 | 0.0607 | 0.9410 | 0.9520 | 0.9465 | 0.9868 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1
- Datasets 3.0.1
- Tokenizers 0.20.0
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Created
- Oct 19, 2024
- Updated
- Oct 19, 2024