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IndoBERT-ExamQA

Question Answering Transformers PyTorch TensorBoard

Indonesian bert generated_from_trainer Inference Endpoints

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IndoBERT-ExamQA

This model is a fine-tuned version of indolem/indobert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.8183

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: -
train_batch_size: -
eval_batch_size: -
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.395	1.0	8202	1.3536
1.1534	2.0	16404	1.4040
1.2816	2.0	32808	1.8183

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.0
Tokenizers 0.13.2

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Dataset used to train sinu/IndoBERT-ExamQA

Space using sinu/IndoBERT-ExamQA 1

Evaluation results

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