The ALBERT model is a variant of BERT that uses a larger model size and more training data to improve performance on downstream NLP tasks. It was trained on a combination of BookCorpus and English Wikipedia, and achieved state-of-the-art results on several benchmark datasets. Fine-tuning ALBERT on specific tasks can further improve its performance.
The ALBERT model is a variant of BERT that uses a larger model size and more training data to improve performance on downstream NLP tasks. It was trained on a combination of BookCorpus and English Wikipedia, and achieved state-of-the-art results on several benchmark datasets. Fine-tuning ALBERT on specific tasks can further improve its performance.
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2023-03-03T06:32:36+00:00