# Reading Comprehension Task

A question-answering model fine-tuned on the SQuAD dataset based on bert-base-multilingual-cased

A QA model fine-tuned based on bert-base-cased, optimized on the SQuAD dataset

This model is a fine-tuned version of distilbert-base-cased-distilled-squad, suitable for question-answering tasks

This model is obtained by fine-tuning a pre-trained 80% 1x4 block sparse Prune OFA BERT-Large model through knowledge distillation, demonstrating excellent performance on the SQuADv1.1 Q&A task.

IndoBERT-Lite model fine-tuned using a translated version of the SQuAD dataset based on IndoBenchmark, suitable for Indonesian Q&A tasks.

This is a question-answering model fine-tuned on the SQuAD v1.1 dataset using knowledge distillation techniques, based on the DistilBERT-base-cased model.