indobert-fiqhqa-qa

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: 1.7946
• Exact Match: 5.0360
• F1: 31.1465

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
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Exact Match	F1
1.9731	1.0	228	1.8265	5.0360	31.8559
1.6693	2.0	456	1.7946	5.0360	31.1465

Framework versions

• Transformers 4.57.1
• Pytorch 2.9.1+cu128
• Datasets 4.4.1
• Tokenizers 0.22.1