FRIDAY-roberta-burnout-lora

FRIDAY - Burnout Detection Model

A RoBERTa-base model fine-tuned with LoRA (Low-Rank Adaptation) for predicting burnout risk scores from text. Given a serialised telemetry string or free-form workplace text, the model outputs a continuous burnout score in [0, 1] (higher = greater burnout risk).

Model Details

• Developed by: Rabbit-bot
• Model type: Text Classification
• Language(s): English
• License: MIT
• Finetuned from: roberta-base

Uses

Intended Uses

• Burnout signal detection in employee feedback and workplace messages
• Passive stress monitoring from mobile telemetry
• Component score in larger wellbeing pipelines (e.g. blended with heuristic agents)
• Research on workplace stress language patterns

Out-of-Scope Uses

• Clinical diagnosis of burnout or any mental health condition
• Real-time employee surveillance without explicit informed consent
• Non-English text (model was trained on English only)
• Medical decision-making of any kind

Training Details

Training Data

Fine-tuned on FRIDAY Synthetic Burnout Telemetry — a labelled dataset of serialised Android sensor telemetry strings paired with continuous burnout scores in [0, 1], generated to reflect realistic mobile usage patterns across low, medium, high, and critical burnout conditions.

Evaluation

Evaluated on a held-out test split (10% of training data, stratified). The model is a regression head — MAE and MSE are the primary metrics.

MAE of 0.0534 on a [0, 1] scale means the model's burnout score predictions are off by ~5.3 percentage points on average — suitable for risk-tier classification (low / medium / high / critical).

Limitations

• Trained on synthetic telemetry — real-world performance may vary until validated against labelled naturalistic data (WESAD, StudentLife, SWELL-KW)
• English-only; does not generalise to other languages
• Should not replace professional mental health assessment
• Battery and charging heuristics used in training may not transfer across device manufacturers
• Outputs a risk score, not a diagnosis — always interpret in context

Citation

If you use this model in research, please cite:

@misc{friday-burnout-lora-2025,
  author    = {Rabbit-bot},
  title     = {FRIDAY: RoBERTa-LoRA Burnout Detection Model},
  year      = {2026},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/Rabbit-bot/FRIDAY-roberta-burnout-lora}
}