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mdeberta-fiqhqa-qa-tuned – AI Model by mhdafifan | AlphaNeural AI
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mdeberta-fiqhqa-qa-tuned
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transformers
safetensors
deberta-v2
question-answering
indonesian
fiqhqa
mdeberta
generated_from_trainer
id
endpoints_compatible
us
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mdeberta-fiqhqa-qa-tuned
This model is a fine-tuned version of
micsrosoft/mdeberta-v3-base
on the FiqhQA dataset. It achieves the following results on the evaluation set:
Loss: 0.8749
Exact Match: 25.1799
F1: 52.6026
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Exact Match
F1
1.0508
1.0
666
0.8893
22.3022
49.2989
0.8132
2.0
1332
0.8286
24.4604
55.0689
0.6724
3.0
1998
0.8749
25.1799
52.6026
Framework versions
Transformers 4.57.1
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1
