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This is a finetuned version of RuRoBERTa-large for the task of linguistic acceptability classification on the RuCoLA benchmark.

The hyperparameters used for finetuning are as follows:

5 training epochs (with early stopping based on validation MCC)
Peak learning rate: 1e-5, linear warmup for 10% of total training time
Weight decay: 1e-4
Batch size: 32
Random seed: 5
Optimizer: torch.optim.AdamW

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Text Classification

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