It should be really useful as according to this paper https://arxiv.org/abs/1905.05583, the unsupervised finetuning and layer wise LR , and one-cycle are crucial for BERT performance. They mange to beat ULMFiT on IMDB with BERT-Base
It should be really useful as according to this paper https://arxiv.org/abs/1905.05583, the unsupervised finetuning and layer wise LR , and one-cycle are crucial for BERT performance. They mange to beat ULMFiT on IMDB with BERT-Base
BY AI, Python, Cognitive Neuroscience
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