WanTopic-V1-HRM / README.md
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# 萬題v1 (WanTopic-V1-HRM)
## Model Description
- **Author**: ShihteSiao
- **Version**: v1.6-standard
- **Architecture**: Hierarchical Reasoning Model (HRM) - Standard
- **Parameters**: 54,189,442 (54.2M)
- **Memory Usage**: 0.6GB
## Performance
- **Test Accuracy**: 0.0%
- **Best Validation Loss**: 0.4258
- **Peak Reasoning Efficiency**: 50.9%
- **Max Reasoning Steps**: 18
## Architecture Details
- **Hidden Size**: 640
- **Attention Heads**: 10
- **High-level Layers**: 4
- **Low-level Layers**: 4
- **Total Layers**: 8
## Training Configuration
- **Batch Size**: 2 × 16 = 32
- **Learning Rate**: 6.925339958244806e-05
- **Epochs**: 30
- **Mixed Precision**: True
- **Label Smoothing**: 0.05
## Usage
```python
import torch
# Load model
checkpoint = torch.load('WanTopic-V1-HRM_final_model.pth')
# Initialize model with checkpoint['model_config']
# Load state dict: model.load_state_dict(checkpoint['model_state_dict'])
```
Generated on: 2025-09-03 11:00:23