Downloads · 30 days
11
30% of all-time downloads
ner-general-17-classes-bert
praneethvasarla/ner-general-17-classes-bert
ner-general-17-classes-bert is a token classification model from praneethvasarla. 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
37
Public
Parameters
109M
1.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors436 MB · 100%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Nov 21, 2023
- Updated
- Nov 21, 2023
- SHA
- faeca098
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. -->
ner-general-17-classes-bert
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1387
- Precision: 0.8210
- Recall: 0.8357
- F1: 0.8283
- Accuracy: 0.9594
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 |
|---|---|---|---|---|---|---|---|
| 0.1511 | 1.0 | 3372 | 0.1373 | 0.8057 | 0.8222 | 0.8139 | 0.9566 |
| 0.1148 | 2.0 | 6744 | 0.1342 | 0.8176 | 0.8273 | 0.8224 | 0.9583 |
| 0.0875 | 3.0 | 10116 | 0.1387 | 0.8210 | 0.8357 | 0.8283 | 0.9594 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Nov 21, 2023
- Updated
- Nov 21, 2023