Downloads · 30 days
4
5% of all-time downloads
indobert-base-p1-fine-tuned-hs-new
PaceKW/indobert-base-p1-fine-tuned-hs-new
indobert-base-p1-fine-tuned-hs-new is a text classification model from PaceKW. 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
86
Public
Parameters
124M
498 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors498 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jun 4, 2025
- Updated
- Jun 4, 2025
- SHA
- 474e3d06
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. -->
indobert-base-p1-fine-tuned-hs-new
This model is a fine-tuned version of indobenchmark/indobert-base-p1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6956
- F1: 0.5505
- Roc Auc: 0.4972
- Accuracy: 0.0015
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: 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: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.6978 | 1.0 | 2002 | 0.6951 | 0.5438 | 0.5014 | 0.0 |
| 0.6967 | 2.0 | 4004 | 0.6956 | 0.5505 | 0.4972 | 0.0015 |
| 0.6868 | 3.0 | 6006 | 0.7080 | 0.5137 | 0.4958 | 0.0005 |
| 0.6282 | 4.0 | 8008 | 0.7603 | 0.5200 | 0.4983 | 0.0010 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jun 4, 2025
- Updated
- Jun 4, 2025