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digo-prayudha/IndoQA

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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IndoQA

This model is a fine-tuned version of indolem/indobert-base-uncased on jakartaresearch/indoqa. It achieves the following results on the evaluation set:

  • —Loss: 1.4807

Training hyperparameters

The following hyperparameters were used during training:

  • —learning_rate: 2e-05
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 3

Training results

Training LossEpochStepValidation Loss
No log1.02071.9698
No log2.04141.8862
0.94163.06211.4807

How to use this model in Transformers Library

python
from transformers import pipeline

question = "Berapa jumlah pulau yang ada di indonesia?"
context = "Indonesia adalah negara kepulauan, Dengan jumlah pulau sekitar 17 ribu"

from transformers import pipeline

question_answerer = pipeline("question-answering", model="digo-prayudha/IndoQA")
question_answerer(question=question, context=context)

Framework versions

  • —Transformers 4.35.2
  • —Pytorch 2.1.0+cu121
  • —Datasets 2.15.0
  • —Tokenizers 0.15.0