BERT Miniatures === This is the set of 24 BERT models referenced in Well Read Students Learn Better: On the Importance of Pre training Compact Models (English only, uncased, trained with WordPiece masking). We have shown that the standard BERT recipe (including model architecture and training objective) is effective on a wide range of model sizes, beyond BERT Base and BERT Large. The smaller BERT models are intended for environments with restricted computational resources. They can be fine tuned in the same manner as the original BERT models. However, they are most effective in the context of knowledge distillation, where the fine tuning labels are produced by a larger and more accurate teacher. Our goal is to enable research in institutions with fewer computational resources and encourage the community to seek directions of innovation alternative to increasing model capacity. You can download the 24 BERT miniatures either from the official BERT Github page, or via HuggingFace from the links below: H=128 H=256 H=512 H=768 : : : : : : : : L=2 [ 2/128 (BERT Tiny) ][2 128] [2/256][2 256] [2/512][2 512] [2/768][2 768] L=4 [4/128][4 128] [ 4/256 (BERT Mini) ][4 256] [ 4/512 (BERT Small)…
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