metadata

language:
  - ms
datasets:
  - squad_v2
metrics:
  - exact_match
  - f1

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 timpal0l
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/multilingualbert-for-eqa-finetuned"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForQuestionAnswering.from_pretrained(model_name)
nlp = pipeline("question-answering", model=model, tokenizer=tokenizer)