JT-DA-Safe
JT-DA-Safe for Social Recognition Safety.
This repository provides the initial model artifacts for the JT-DA-Safe project. The project focuses on research, evaluation, supervised fine-tuning, and reinforcement learning for social recognition safety.
Intended Use
- Social recognition safety research
- Safety-oriented model evaluation
- Supervised fine-tuning experiments
- Reinforcement learning experiments
- Internal research and development
Repository Contents
The repository contains model weights, configuration files, tokenizer files, and generation settings required for model loading and inference.
Limitations
Model outputs may contain inaccurate, biased, unsafe, or unexpected content. Results should be reviewed before being used in safety-sensitive or production scenarios.
Notice
This repository is intended for research and evaluation purposes. Users are responsible for validating model behavior and complying with applicable laws, regulations, and platform requirements.