CodeBERT Algorithm Tagger

A fine-tuned CodeBERT model for multi-label classification of algorithmic problems from competitive programming platforms like Codeforces.

Model Description

This model predicts algorithmic tags/categories for competitive programming problems based on their problem descriptions and solution code.

Supported Tags:

  • math
  • graphs
  • strings
  • number theory
  • trees
  • geometry
  • games
  • probabilities

Training Data

  • Dataset: xCodeEval (Codeforces problems)
  • Training examples: 2,147 problems (filtered for focus tags)
  • Test examples: 531 problems
  • Source: Problems and solutions from Codeforces platform

Model Architecture

  • Input: Concatenated problem description and solution code
  • Encoder: CodeBERT (RoBERTa-based architecture)
  • Output: 8-dimensional binary classification (one per tag)

Usage

Installation

pip install transformers torch
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