schhwmn/mt5-base-finetuned-ukr-gec

This model was finetuned on errorful sentences from the train subset of UA-GEC corpus, introduced in UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language paper.

Only sentences containing errors were used; 8,874 sentences for training and 987 sentences for validation. The training arguments were defined as follows:

batch_size = 8
num_train_epochs = 6
learning_rate=5e-5
weight_decay=0.01
optim = "adafactor"