Overview
This model is an experiment I and my friend did as a researcher internship at the National University of Singapore (NUS). We finetuned the model to our datasets in Finance and Healthcare domain, in the Malay Language.
Details
- Finetuned from the base model by Rifky
- The base datasets from SQuAD2.0
- Our datasets in Finance and Healthcare domain
Finetuned Detail
from transformers import TrainingArguments
training_args = TrainingArguments(
output_dir='test_trainer',
evaluation_strategy='epoch',
num_train_epochs=20,
optim='adamw_torch',
report_to='all',
logging_steps=1,
)
How to use the Model
from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
model_name = "primasr/indobert-for-eqa-finetuned"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForQuestionAnswering.from_pretrained(model_name)
nlp = pipeline("question-answering", model=model, tokenizer=tokenizer)
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