Downloads · 30 days
7
12% of all-time downloads
polibert-malaysia
YagiASAFAS/polibert-malaysia
polibert-malaysia is a text classification model from YagiASAFAS. Use it when you need a label for a piece of text. 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
59
Public
Repo size
3.9 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- May 11, 2024
- Updated
- May 12, 2024
- SHA
- eaf8860b
Try a prompt
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. -->
polibert-malaysia
This model is a fine-tuned version of bert-base-uncased on tnwei/ms-newspapers dataset. It achieves the following results on the evaluation set:
- Loss: 0.9318
- Accuracy: 0.8904
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP
Label Mappings
- 0: Economic Concerns
- 1: Racial discrimination or polarization
- 2: Leadership weaknesses
- 3: Development and infrastructure gaps
- 4: Corruption
- 5: Political instablility
- 6: Socials and Public safety
- 7: Administration
- 8: Education
- 9: Religion issues
- 10: Environmental
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6482 | 1.0 | 3887 | 0.5960 | 0.8302 |
| 0.4607 | 2.0 | 7774 | 0.5355 | 0.8657 |
| 0.3267 | 3.0 | 11661 | 0.6395 | 0.8820 |
| 0.1983 | 4.0 | 15548 | 0.7489 | 0.8742 |
| 0.1107 | 5.0 | 19435 | 0.7793 | 0.8815 |
| 0.0742 | 6.0 | 23322 | 0.8591 | 0.8864 |
| 0.045 | 7.0 | 27209 | 0.8850 | 0.8903 |
| 0.0201 | 8.0 | 31096 | 0.9318 | 0.8904 |
Framework versions
- Transformers 4.18.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 11, 2024
- Updated
- May 12, 2024