Downloads · 30 days
6
24% of all-time downloads
NER_Pittsburgh_TAA
TymofiiT/NER_Pittsburgh_TAA
NER_Pittsburgh_TAA is a token classification model from TymofiiT. 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
25
Public
Parameters
109M
2.2 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
- Jun 16, 2024
- Updated
- Jun 16, 2024
- SHA
- 39bf270e
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. -->
NER_Pittsburgh_TAA
This model is a fine-tuned version of bert-base-uncased on the conll2003 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0599
- Precision: 0.9344
- Recall: 0.9461
- F1: 0.9402
- Accuracy: 0.9858
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 439 | 0.0604 | 0.9175 | 0.9290 | 0.9232 | 0.9829 |
| 0.0953 | 2.0 | 878 | 0.0545 | 0.9312 | 0.9412 | 0.9361 | 0.9850 |
| 0.0409 | 3.0 | 1317 | 0.0571 | 0.9357 | 0.9412 | 0.9384 | 0.9855 |
| 0.0234 | 4.0 | 1756 | 0.0593 | 0.9343 | 0.9482 | 0.9412 | 0.9858 |
| 0.0159 | 5.0 | 2195 | 0.0599 | 0.9344 | 0.9461 | 0.9402 | 0.9858 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jun 16, 2024
- Updated
- Jun 16, 2024