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training_question_answer – AI Model by practice-ac | AlphaNeural AI
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practice-ac
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training_question_answer
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transformers
safetensors
bert
question-answering
generated_from_trainer
indobenchmark/indobert-base-p2
finetune
mit
endpoints_compatible
us
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training_question_answer
This model is a fine-tuned version of
indobenchmark/indobert-base-p2
on an unknown dataset.
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 30
Training results
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
