Hugging Face Overview
Model Overview
vxing/Qwen2-1.5B-Instruct-Codeforces-Reasoning is a specialized instruction-tuned language model, built upon the Qwen2-1.5B-Instruct architecture. This model has undergone a single epoch of fine-tuning, achieving a validation loss of 1.1248.
Key Characteristics
- Base Model: Fine-tuned from Qwen/Qwen2-1.5B-Instruct.
- Parameter Count: 1.5 billion parameters.
- Training: Single-epoch fine-tuning with a learning rate of 2e-05 and a batch size of 2.
- Performance: Achieved a validation loss of 1.1248, indicating its performance on the evaluation set.
Intended Use Cases
While specific intended uses and limitations require more information, based on its fine-tuning process and name, this model is likely optimized for:
- Reasoning Tasks: Particularly those found in competitive programming contexts like Codeforces.
- Problem Solving: Assisting with logical and analytical challenges.
Further details on its specific capabilities and ideal applications would benefit from additional documentation.