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indobert-squad-qasina-LR-1e-05-BS-16-ML-384 – AI Model by mhdafifan | AlphaNeural AI
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mhdafifan
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indobert-squad-qasina-LR-1e-05-BS-16-ML-384
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transformers
safetensors
bert
question-answering
indonesian
QASiNa
indobert
generated_from_trainer
id
mhdafifan/indobert-squad-id-LR-2e-05-BS-8-ML-384
finetune
mit
endpoints_compatible
us
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indobert-squad-qasina-LR-1e-05-BS-16-ML-384
This model is a fine-tuned version of
mhdafifan/indobert-squad-id-LR-2e-05-BS-8-ML-384
on the QASiNa dataset. It achieves the following results on the evaluation set:
Loss: 2.6942
F1: 53.1941
Exact Match: 43.3962
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: 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
lr_scheduler_warmup_ratio: 0.2
num_epochs: 7
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Exact Match
2.8576
1.0
30
2.5926
55.5181
46.2264
1.8264
2.0
60
2.4106
54.7843
44.3396
1.4635
3.0
90
2.5384
54.9879
45.283
1.0861
4.0
120
2.6942
53.1941
43.3962
Framework versions
Transformers 4.57.1
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1
