indobert-fiqhqa-classifier-tuned – AI Model by mhdafifan | AlphaNeural AI | AlphaNeural AI

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mhdafifan/
indobert-fiqhqa-classifier-tuned

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text-classification

generated_from_trainer

indobenchmark/indobert-base-p1

text-embeddings-inference

endpoints_compatible

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indobert-fiqhqa-classifier-tuned

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: 0.6032
Accuracy: 0.8609
F1 Macro: 0.8400

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_FUSED 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	Accuracy	F1 Macro
1.4363	1.0	114	1.2878	0.4696	0.1435
0.472	2.0	228	0.5526	0.8522	0.8422
0.285	3.0	342	0.4545	0.8522	0.8176
0.2446	4.0	456	0.5125	0.8870	0.8673
0.1045	5.0	570	0.5242	0.8783	0.8617
0.0202	6.0	684	0.6032	0.8609	0.8400

Framework versions

Transformers 4.57.1
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1