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README.md

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+---
+language: en
+tags:
+- code
+- algorithms
+- competitive-programming
+- multi-label-classification
+- codebert
+datasets:
+- xCodeEval
+metrics:
+- f1
+- precision
+- recall
+library_name: transformers
+pipeline_tag: text-classification
+---
+
+# 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. It's fine-tuned from [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base).
+
+**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
+
+```bash
+pip install transformers torch
+```
+