WanTopic-V1-Minimal / README.md
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# 萬題v1 (WanTopic-V1-Minimal)
## Model Description
- **Author**: ShihteSiao
- **Version**: v1.4-minimal
- **Architecture**: Hierarchical Reasoning Model (HRM) - Minimal 256d
- **Parameters**: 5,552,386 (5.6M)
- **Memory Usage**: 0.0GB
## Performance
- **Test Accuracy**: 50.0%
- **Best Validation Loss**: 0.0025
- **Peak Reasoning Efficiency**: 49.3%
- **Max Reasoning Steps**: 12
## Architecture Details
- **Hidden Size**: 256
- **Attention Heads**: 4
- **High-level Layers**: 4
- **Low-level Layers**: 4
- **Total Layers**: 8
## Training Configuration
- **Batch Size**: 4 × 8 = 32
- **Learning Rate**: 0.0002
- **Epochs**: 40
- **Mixed Precision**: True
- **Label Smoothing**: 0.0
## Usage
```python
import torch
# Load model
checkpoint = torch.load('WanTopic-V1-Stable_final_model.pth')
# Initialize model with checkpoint['model_config']
# Load state dict: model.load_state_dict(checkpoint['model_state_dict'])
```
Generated on: 2025-09-01 14:57:19