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csarron/mobilebert-uncased-squad-v2

Csarron/mobilebert-uncased-squad-v2 is machine learning model.

About csarron/mobilebert-uncased-squad-v2

The model was fine-tuned from the HuggingFace checkpoint google/mobilebert-uncased on SQuAD2.0.0 . It took about 3.5 hours to finish . The game was played on February 7, 2016 at Levi's Stadium in the San Francisco Bay Area at Santa Clara, California . The model is a thin version of BERT_LARGE, while equipped with bottleneck structures and a carefully designed balance between self-attentions and feed-forward networks . The results were created by Qingqing Caoqing on GitHub, with the model size of 95M (Table 5) The model size is 95M with a model size: 95M,
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