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satya-gemma4-e4b-lora
rudrararaa/satya-gemma4-e4b-lora
satya-gemma4-e4b-lora is a machine learning model from rudrararaa. 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 apache-2.0.
LoRA adapter fine-tuned for on-device misinformation detection.
Access
Public
Updated May 18, 2026
Repo size
202 MB
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1
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Repo makeup
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.safetensors170 MB · 84%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- May 17, 2026
- Updated
- May 18, 2026
- SHA
- 73b0348b
Base models
Model card
From the Hugging Face model README
SATYA — Fine-Tuned Gemma 4 E4B for Truth Detection
LoRA adapter fine-tuned for on-device misinformation detection.
Training Data
- 3,232 Indian fact-checks (BOOM Live, Alt News, FACTLY, The Quint, Vishvas News)
- 5,500 LIAR2 political claims
Results (on 437 held-out test examples)
| Metric | Base Gemma 4 | SATYA Fine-Tuned | Improvement |
|---|---|---|---|
| Accuracy | 0.3461 | 0.5370 | +0.1910 |
| F1 (macro) | 0.2306 | 0.3025 | +0.0718 |
Training
- Method: LoRA (rank 16, alpha 32, dropout 0.0) via Unsloth
- Steps: 1000 of 1392 (Kaggle 12-hour cap)
- Hardware: Tesla T4 x2
License: Apache 2.0
- License
- apache-2.0
- Languages
- en, hi
- Created
- May 17, 2026
- Updated
- May 18, 2026