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Update README.md
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README.md
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@@ -22,20 +22,6 @@ This model is a fine-tuned version of [indolem/indobert-base-uncased](https://hu
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It achieves the following results on the evaluation set:
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- Loss: 1.4807
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### How to use this model in Transformers Library
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```python
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from transformers import pipeline
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question = "Berapa jumlah pulau yang ada di indonesia?"
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context = "Indonesia adalah negara kepulauan, Dengan jumlah pulau sekitar 17 ribu"
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from transformers import pipeline
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question_answerer = pipeline("question-answering", model="digo-prayudha/IndoQA")
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question_answerer(question=question, context=context)
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```
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### Training hyperparameters
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The following hyperparameters were used during training:
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| No log | 2.0 | 414 | 1.8862 |
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| 0.9416 | 3.0 | 621 | 1.4807 |
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### Framework versions
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It achieves the following results on the evaluation set:
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- Loss: 1.4807
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### Training hyperparameters
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The following hyperparameters were used during training:
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| No log | 2.0 | 414 | 1.8862 |
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| 0.9416 | 3.0 | 621 | 1.4807 |
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### How to use this model in Transformers Library
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```python
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from transformers import pipeline
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question = "Berapa jumlah pulau yang ada di indonesia?"
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context = "Indonesia adalah negara kepulauan, Dengan jumlah pulau sekitar 17 ribu"
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from transformers import pipeline
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question_answerer = pipeline("question-answering", model="digo-prayudha/IndoQA")
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question_answerer(question=question, context=context)
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```
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### Framework versions
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