CodeLanderAI Model
This model is a fine-tuned version of the CodeT5 model specifically designed for code completion in competitive programming. It was trained on a custom dataset of 12 million code samples derived from 2 million source code files.
Intended Use
The model is intended for generating code completions based on the context provided by the user. It only supports cpp programming languages commonly used in competitive programming.
Languages Supported
- C++
Metrics
The model was evaluated using the following metrics:
- BLEU Score: Measures the quality of generated code against reference code.
- CodeBLEU: A metric tailored for code generation, considering syntax and structure.
- Accuracy: How often the model provides the correct code completion.
- Perplexity: Indicates how well the model predicts the next token in a sequence.
Datasets
The model was fine-tuned on a custom dataset containing code samples from competitive programming platforms.
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