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 = 4
num_train_epochs = 3
learning_rate=5e-5
weight_decay=0.01
optim = "adamw_hf"
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