Downloads · 30 days
3
7% of all-time downloads
weight-autoencoder-mlp-v1
maximuspowers/weight-autoencoder-mlp-v1
weight-autoencoder-mlp-v1 is a machine learning model from maximuspowers. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model is a weight-space autoencoder trained on neural network activation weights/signatures. It includes both an encoder (compresses weights into latent representations) and a decoder (reconstructs weights from l…
All-time downloads
41
Public
Repo size
632 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.tsv570 MB · 72%
At a glance
- Access
- Public
- Created
- Dec 17, 2025
- Updated
- Dec 20, 2025
- SHA
- 0b1194a5
Datasets
Model card
From the Hugging Face model README
Weight-Space Autoencoder (TRANSFORMER)
This model is a weight-space autoencoder trained on neural network activation weights/signatures. It includes both an encoder (compresses weights into latent representations) and a decoder (reconstructs weights from latent codes).
Model Description
- Architecture: Transformer encoder-decoder
- Training Dataset: maximuspowers/muat-fourier-5
- Input Mode: signature
- Latent Dimension: 256
Tokenization
- Granularity: neuron
- Max Tokens: 64
Training Config
- Loss Functions: reconstruction, functional
- Optimizer: adamw
- Learning Rate: 0.0001
- Batch Size: 32
Performance Metrics (Test Set)
- MSE: 0.122959
- MAE: 0.256139
- RMSE: 0.350655
- Cosine Similarity: 0.0575
- R² Score: 0.0069
- Created
- Dec 17, 2025
- Updated
- Dec 20, 2025