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bad_epoch
Pratik-3706/bad_epoch
bad_epoch is a machine learning model from Pratik-3706. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
This repository contains the pre-trained weights for the BadApple × NN project. It is a 512-wide, 5-layer SineMLP (Implicit Neural Representation) that has mathematically compressed and memorized the 6,505 frames of t…
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Updated Aug 23, 2026
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- License
- other
- Access
- Public
- Created
- Aug 9, 2026
- Updated
- Aug 23, 2026
- SHA
- dcd16c33
Model card
From the Hugging Face model README
BadApple × NN: SIREN Checkpoint
This repository contains the pre-trained weights for the BadApple × NN project. It is a 512-wide, 5-layer SineMLP (Implicit Neural Representation) that has mathematically compressed and memorized the 6,505 frames of the "Bad Apple!!" music video into ~1.05M parameters.
Available Checkpoints
| File | Epoch | Loss | Notes |
|---|---|---|---|
epoch_590_loss_0.2248_(best).pt | 590 | 0.2248 | Best checkpoint — lowest loss achieved |
epoch_600_loss_0.2255_(final).pt | 600 | 0.2255 | Final checkpoint at end of training |
epoch_380_loss_0.2434_(best edges).pt | 380 | 0.2434 | Previous best before bug fixes |
epoch_200_loss_0.0945_previous_best.pt | 200 | 0.0945 | Best from the original 256-wide model (not comparable — different output format) |
epoch_287_loss_0.3438_latest.pt | 287 | 0.3438 | Intermediate snapshot from the 512-wide model |
Training completed at 600 epochs. For the full training history see TRAINING.md in the main repo.
Usage
These weights are designed to be run directly with the real-time PyTorch streaming inference engine found in the main GitHub repository.
GitHub Repository: Pratik-3706/BadApple_nn
License & Copyright Disclaimer
- The Code / Architecture: The structural code and training implementation are licensed under MIT.
- The Model Weights: The neural network weights provided here are a derivative mathematical representation of the original video. The "Bad Apple!!" video, audio, and underlying intellectual property belong to ZUN / Team Shanghai Alice and Alstroemeria Records.
- These weights are provided strictly for educational, non-commercial, and transformative AI research purposes under Fair Use. You may not use this model for commercial purposes.
- License
- other
- Languages
- en
- Created
- Aug 9, 2026
- Updated
- Aug 23, 2026