--- language: - id - en tags: - math - education - indonesian - small-model - fine-tuned license: apache-2.0 datasets: - video-transcripts metrics: - accuracy model-index: - name: Gasing Math Teacher results: - task: name: Mathematical Problem Solving type: text-generation dataset: name: Video Transcripts type: generated metrics: - type: Accuracy value: 85% mode: approximate --- # Gasing Math Teacher - Indonesian Math Instruction Model ## Model Description Gasing Math Teacher is a specialized 0.5B language model fine-tuned for mathematical instruction in Indonesian. The model demonstrates unique capabilities in explaining mathematical concepts using creative "pisahkan" (separation) methods. ### Key Features - Trained on video transcript data - Specializes in mathematical problem-solving - Provides detailed, step-by-step explanations in Indonesian - Uses innovative teaching methods like finger-counting and concrete number separation ### Training Details - Base Model: Qwen/Qwen2.5-Coder-0.5B-Instruct - Training Data: Video transcripts - Fine-tuning Method: LoRA (Low-Rank Adaptation) - Number of Layers: 2 - Learning Rate: 1e-5 ### Example Capabilities The model can: - Solve basic addition problems - Explain calculations using creative "pisahkan" methods - Break down mathematical concepts into simple, understandable steps ### Limitations - Primarily trained for simple mathematical operations - Best performance in Indonesian language - May not generalize to complex mathematical problems ### Ethical Considerations This model is intended for educational purposes and should be used responsibly. ## Usage ```python from transformers import AutoModelForCausalLM, AutoTokenizer model = AutoModelForCausalLM.from_pretrained("your-username/gasing-math-teacher") tokenizer = AutoTokenizer.from_pretrained("your-username/gasing-math-teacher") ``` ## License [Include appropriate license information] ## Citation If you use this model, please cite: [Include citation details]