Implementation of the paper "Fine-Tuning Transformers: Vocabulary Transfer"

step 1 - Create SentencePiece vocabulary for dataset
step 2 - Train the first level model (BertForMaskedLM) on English Wikipedia from scratch
step 3 - Match vocabulary (first level model dataset & downstream task dataset)
step 4 - Transfer dictionary using mapping. Сreate folders and raw models for experiments.
step 5 - Train 1 epoch BertForMaskedLM on downstream task
step 6 - Train final (BertForSequenceClassification) downstream model

I. Samenko, A. Tikhonov, B. Kozlovsky, I. P. Yamshchikov. Fine-Tuning Transformers: Vocabulary Transfer.

*Igor Samenko: i.samenko@gmail.com