Downloads · 30 days
3
3% of all-time downloads
indobert-baseline-fiqhqa-ML-512
mhdafifan/indobert-baseline-fiqhqa-ML-512
indobert-baseline-fiqhqa-ML-512 is a question answering model from mhdafifan. Use it when the input is a question plus a passage. 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
90
Public
Parameters
124M
991 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors495 MB · 100%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- May 30, 2026
- Updated
- Jun 2, 2026
- SHA
- 92b228bd
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-baseline-fiqhqa-ML-512
This model is a fine-tuned version of indobenchmark/indobert-base-p1 on the FiqhQA dataset. It achieves the following results on the evaluation set:
- Loss: 2.6673
- F1: 25.84
- Exact Match: 2.91
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: 16
- eval_batch_size: 16
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Exact Match |
|---|---|---|---|---|---|
| 2.6662 | 1.0 | 124 | 2.3901 | 23.63 | 4.85 |
| 2.4202 | 2.0 | 248 | 2.3813 | 27.68 | 3.88 |
| 2.0437 | 3.0 | 372 | 2.4433 | 27.42 | 5.83 |
| 1.7151 | 4.0 | 496 | 2.6673 | 25.84 | 2.91 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- mit
- Languages
- id
- Created
- May 30, 2026
- Updated
- Jun 2, 2026