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indobert-fiqhqa-qa – AI Model by mhdafifan | AlphaNeural AI
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indobert-fiqhqa-qa
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transformers
safetensors
bert
question-answering
indonesian
fiqhqa
indobert
generated_from_trainer
id
indobenchmark/indobert-base-p1
finetune
mit
endpoints_compatible
us
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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
