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SentiLog-Android-Models
tojohere/SentiLog-Android-Models
SentiLog-Android-Models is a machine learning model from tojohere. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Packaged ONNX models for the SentiLog Android app — a privacy-first journaling app with on-device 28-emotion sentiment analysis.
Access
Public
Updated May 17, 2026
Repo size
649 MB
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0
Public
Repo makeup
Click a slice to open those files.
.zip1.3 GB · 100%
At a glance
- Access
- Public
- Created
- May 16, 2026
- Updated
- May 17, 2026
- SHA
- 72d5bdae
Model card
From the Hugging Face model README
SentiLog Android Models
Packaged ONNX models for the SentiLog Android app — a privacy-first journaling app with on-device 28-emotion sentiment analysis.
Models
| Language | File | F1 Macro | Top-1 | Top-3 | Native Data |
|---|---|---|---|---|---|
| German | goemotions_de.zip | 0.447 | 69% | 82% | GermEval (10K) |
| Japanese | goemotions_ja.zip | 0.396 | 56% | 74% | WRIME (35K) |
| Korean | goemotions_ko.zip | 0.568 | 68% | 81% | KOTE (50K) |
Each ZIP contains:
model_quantized.onnx— INT8 quantised xlm-roberta-base (~206 MB)tokenizer.json— HuggingFace Unigram tokenizer for AndroidHfTokenizer
Base Model
Fine-tuned from xlm-roberta-base on GoEmotions (28 emotions) plus native-language datasets.
Version Manifest
models.json in this repo root is consumed by the app's ModelUpdateWorker to notify users of model updates.
Usage
These models are loaded by the SentiLog Android app automatically. They are not intended for standalone inference — use the PyTorch checkpoints on tojohere/goemotions-de-xlm-roberta-base, tojohere/goemotions-ja-xlm-roberta-base, and tojohere/goemotions-ko-xlm-roberta-base for research.
- Created
- May 16, 2026
- Updated
- May 17, 2026