s-nlp / ruRoberta-large-RuCoLa-v1

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Introduction of ruRoberta-large-RuCoLa-v1

Model Details of ruRoberta-large-RuCoLa-v1

This is a ruRoberta-large model trained on the RuCoLa dataset. It can be used to classify Russian sentences into fluent or non-fluent ones, where fluency is understood as linguistic acceptability.

Training notebook: task_oriented_TST/fluency/rucola_classifier_v1.ipynb (in a private repo).

Training parameters:

  • optimizer: Adam
  • lr=2e-6
  • batch_size=32
  • epochs=10
  • clip_grad_norm=1.0

Test accuracy (on the leaderboard this model is submitted as ruroberta-base-cased-rucola-v1 ): 0.81.

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