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mdeberta-fiqhqa-qa – AI Model by mhdafifan | AlphaNeural AI
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mdeberta-fiqhqa-qa
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transformers
safetensors
deberta-v2
question-answering
indonesian
fiqhqa
mdeberta
generated_from_trainer
id
microsoft/mdeberta-v3-base
finetune
mit
endpoints_compatible
us
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mdeberta-fiqhqa-qa
This model is a fine-tuned version of
microsoft/mdeberta-v3-base
on the FiqhQA dataset. It achieves the following results on the evaluation set:
Loss: 0.8996
Exact Match: 24.4604
F1: 53.1508
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
1.0956
1.0
333
0.8887
21.5827
50.0958
0.7869
2.0
666
0.8384
20.8633
53.4146
0.6457
3.0
999
0.8996
24.4604
53.1508
Framework versions
Transformers 4.57.1
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1
