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v5_small_20251229_160501/README.md
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# ViT-Beatrix V5 Contrarian Tower Collective
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## Run: v5_small_20251229_160501
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### Model Configuration
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- **Type**: small
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- **Total Parameters**: 27,959,402
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- **Towers**: 4 (2 pos/neg pairs)
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- **Embed Dim**: 512
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- **Depth**: 2 layers per tower
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### Training Progress (Epoch 10)
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- **Test Accuracy**: 26.89%
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- **Best Accuracy**: 27.39%
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### Files
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- `v5_small_20251229_160501_best.pth` - Best checkpoint
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- `v5_small_20251229_160501_e*.pth` - Interval checkpoints
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- `tensorboard/` - Training metrics
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### Usage
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```python
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import torch
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from vit_beatrix_v5_contrarian import BeatrixCollective, BeatrixV5Config
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ckpt = torch.load("v5_small_20251229_160501_best.pth")
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config = BeatrixV5Config(**ckpt['config'])
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model = BeatrixCollective(config)
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model.load_state_dict(ckpt['model_state_dict'])
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```
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