Downloads · 30 days
14
22% of all-time downloads
1_fine-tuning-java-indo-sentiment-analysist-3-class
johannawawi/1_fine-tuning-java-indo-sentiment-analysist-3-class
1_fine-tuning-java-indo-sentiment-analysist-3-class is a text classification model from johannawawi. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
63
Public
Parameters
125M
499 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors499 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- May 8, 2025
- Updated
- May 8, 2025
- SHA
- 01c30b2b
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 w11wo/indonesian-roberta-base-sentiment-classifier on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1123
- Accuracy: 0.9682
- F1 Macro: 0.9682
- F1 Weighted: 0.9682
- Precision Macro: 0.9682
- Recall Macro: 0.9682
- Precision Weighted: 0.9683
- Recall Weighted: 0.9682
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Weighted | Precision Macro | Recall Macro | Precision Weighted | Recall Weighted |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.1654 | 1.3263 | 500 | 0.1167 | 0.9629 | 0.9629 | 0.9629 | 0.9635 | 0.9629 | 0.9635 | 0.9629 |
| 0.2222 | 2.6525 | 1000 | 0.1127 | 0.9669 | 0.9669 | 0.9669 | 0.9670 | 0.9669 | 0.9670 | 0.9669 |
| 0.214 | 3.9788 | 1500 | 0.1123 | 0.9682 | 0.9682 | 0.9682 | 0.9682 | 0.9682 | 0.9683 | 0.9682 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- May 8, 2025
- Updated
- May 8, 2025