- Fine-tuned base BERT and DistilBERT models on SQUAD 2.0 question answering dataset.
- Produced a comparative analysis report of performance metrics and processing time between BERT and DistilBERT.
- Incorporated postprocessing of candidate answers, based on linguistic knowledge, to improve exact match scores.
- Generated augmented set with synonym and random word replacement and compared its performance with the original set.
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| Are you a contestant for RMDS 2021 Data Science Competition? | |
| Type: | Other |
| Release Date: | Apr 30, 2021 |
| Last Updated: | Apr 30, 2021 |
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