Downloads · 30 days
15
47% of all-time downloads
distilbert-base-uncased-finetuned-ner
anshulzigram/distilbert-base-uncased-finetuned-ner
distilbert-base-uncased-finetuned-ner is a token classification model from anshulzigram. 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
32
Public
Parameters
66.4M
266 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors265 MB · 100%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Feb 25, 2025
- Updated
- Feb 25, 2025
- SHA
- 02bb3d4e
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. -->
distilbert-base-uncased-finetuned-ner
This model is a fine-tuned version of distilbert-base-uncased on the conll2003 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6287
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.7921
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 1.5393 | 0.1587 | 10 | 1.3241 | 0.0 | 0.0 | 0.0 | 0.7921 |
| 0.912 | 0.3175 | 20 | 0.8656 | 0.0 | 0.0 | 0.0 | 0.7921 |
| 0.804 | 0.4762 | 30 | 0.7794 | 0.0 | 0.0 | 0.0 | 0.7921 |
| 0.5577 | 0.6349 | 40 | 0.6958 | 0.0 | 0.0 | 0.0 | 0.7921 |
| 0.692 | 0.7937 | 50 | 0.6512 | 0.0 | 0.0 | 0.0 | 0.7921 |
| 0.591 | 0.9524 | 60 | 0.6301 | 0.0 | 0.0 | 0.0 | 0.7921 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 25, 2025
- Updated
- Feb 25, 2025