Downloads · 30 days
4
6% of all-time downloads
tinybert-fake-news-filipino
jcunado/tinybert-fake-news-filipino
tinybert-fake-news-filipino is a text classification model from jcunado. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
68
Public
Parameters
14.4M
57.4 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors57.4 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Aug 31, 2025
- Updated
- Aug 31, 2025
- SHA
- f832d4b4
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. -->
results
This model is a fine-tuned version of huawei-noah/TinyBERT_General_4L_312D on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3154
- F1: 0.8814
- Accuracy: 0.8815
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
|---|---|---|---|---|---|
| No log | 1.0 | 71 | 0.4218 | 0.8338 | 0.8358 |
| 0.478 | 2.0 | 142 | 0.3548 | 0.8628 | 0.8628 |
| 0.3619 | 3.0 | 213 | 0.3551 | 0.8562 | 0.8565 |
| 0.3619 | 4.0 | 284 | 0.3444 | 0.8686 | 0.8690 |
| 0.3244 | 5.0 | 355 | 0.3455 | 0.8659 | 0.8669 |
| 0.2941 | 6.0 | 426 | 0.3122 | 0.8753 | 0.8753 |
| 0.2941 | 7.0 | 497 | 0.3501 | 0.8598 | 0.8607 |
| 0.2415 | 8.0 | 568 | 0.3174 | 0.8813 | 0.8815 |
| 0.2245 | 9.0 | 639 | 0.3165 | 0.8814 | 0.8815 |
| 0.1828 | 10.0 | 710 | 0.3154 | 0.8814 | 0.8815 |
Framework versions
- Transformers 4.55.4
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Aug 31, 2025
- Updated
- Aug 31, 2025