Downloads · 30 days
0
boundary-detector-v1
ichters/boundary-detector-v1
boundary-detector-v1 is a machine learning model from ichters. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
BERT-based model for identifying function and instruction boundaries in stripped x86 binary files.
Access
Public
Updated Mar 26, 2026
Repo size
80.8 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin80.8 MB · 100%
At a glance
- Access
- Public
- Created
- Mar 26, 2026
- Updated
- Mar 26, 2026
- SHA
- 2619045c
Model card
From the Hugging Face model README
BERT-based model for identifying function and instruction boundaries in stripped x86 binary files.
Training
- Dataset: BigQuery C dataset, ~140k binaries, compiled with GCC at
-O1 - Epochs: 5
- Batch size: 256
- Learning rate: 1e-4
- Class weight: 5
- Init loss weight: 1
Classification Report
<pre> --- Function Boundary Classification Report --- Class Distribution: O (non-boundary): 78,124,536 (99.26%) B-FUNC: 298,996 (0.38%) E-FUNC: 281,198 (0.36%) precision recall f1-score support O 1.00 1.00 1.00 78124536 B-FUNC 0.95 0.99 0.97 298996 E-FUNC 0.95 0.99 0.97 281198 accuracy 1.00 78704730 macro avg 0.97 1.00 0.98 78704730 weighted avg 1.00 1.00 1.00 78704730 Confusion Matrix: Predicted O B-FUNC E-FUNC Actual O 78095914 15481 13141 B-FUNC 1673 297051 272 E-FUNC 1979 153 279066 ----------------------------- --- Instruction Boundary Classification Report --- Class Distribution: NOT-START: 60,166,358 (76.45%) INST-START: 18,538,372 (23.55%) precision recall f1-score support NOT-START 1.00 1.00 1.00 60166358 INST-START 1.00 1.00 1.00 18538372 accuracy 1.00 78704730 macro avg 1.00 1.00 1.00 78704730 weighted avg 1.00 1.00 1.00 78704730 Confusion Matrix: Predicted NOT-START INST-START Actual NOT-START 60104092 62266 INST-START 13612 18524760 ----------------------------- </pre>- Created
- Mar 26, 2026
- Updated
- Mar 26, 2026