Russian RoBERTa

Training a Rossian RoBERTA model using:

• YouTokenToMe as a tokenizer.
• Fairseq toolkit

Reqiurements

• pytorch
• youtokentome
• tensorboard for training visualisation

Training

1. Train a tokenizer model and split data on train/valid/test (change paths if needed):

$ python3 ./scripts/run_pretraining.py

2. Encode and binarize the data:

$ ./scripts/run_encoding.sh

3. Start training:

$ ./scripts/run_train_16.sh

Pretrained models

A model trained on russian Wiki + Taiga corpus:

RuBERTa-base, batch 264, 65k steps

F1 score on Sber SQuAD dataset: 78.60