IndoBERT-SQuADv2-16-2e-06-0.01-5

rizquuula/IndoBERT-SQuADv2-16-2e-06-0.01-5

IndoBERT-SQuADv2-16-2e-06-0.01-5 is a question answering model from rizquuula. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Question Answering
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Jun 12, 2023
Updated: Jun 12, 2023
SHA: 2095c4af

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Model card

From the Hugging Face model README

IndoBERT-SQuADv2_1686559661-16-2e-06-0.01-5

This model is a fine-tuned version of indobenchmark/indobert-base-p1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.2709

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-06
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
2.8367	1.0	8145	2.4799
2.2767	2.0	16290	2.3464
2.12	3.0	24435	2.3053
2.0313	4.0	32580	2.2777
1.9826	5.0	40725	2.2709

Framework versions

Transformers 4.30.1
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

Task: Question Answering
Library: transformers
Type: bert
License: mit
Created: Jun 12, 2023
Updated: Jun 12, 2023