Downloads · 30 days
5
4% of all-time downloads
bert-base-multilingual-cased-vinli-ph
dtran612/bert-base-multilingual-cased-vinli-ph
bert-base-multilingual-cased-vinli-ph is a text classification model from dtran612. 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
122
Public
Parameters
178M
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors711 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- May 2, 2026
- Updated
- May 2, 2026
- SHA
- a3c3cd1b
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. -->
bert-base-multilingual-cased-vinli-ph
This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1596
- Accuracy: 0.9642
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0301 | 1.0 | 142 | 0.9202 | 0.5667 |
| 0.8639 | 2.0 | 284 | 0.7371 | 0.7155 |
| 0.7550 | 3.0 | 426 | 0.5881 | 0.7774 |
| 0.5331 | 4.0 | 568 | 0.4249 | 0.8648 |
| 0.5588 | 5.0 | 710 | 0.3352 | 0.9059 |
| 0.4392 | 6.0 | 852 | 0.2771 | 0.9178 |
| 0.4376 | 7.0 | 994 | 0.2209 | 0.9435 |
| 0.2444 | 8.0 | 1136 | 0.1848 | 0.9549 |
| 0.2248 | 9.0 | 1278 | 0.1765 | 0.9554 |
| 0.1856 | 10.0 | 1420 | 0.1596 | 0.9642 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 2, 2026
- Updated
- May 2, 2026