README.md

metadata

title: TriChronos Eval
emoji: 📊
colorFrom: green
colorTo: blue
sdk: gradio
sdk_version: 5.34.2
python_version: '3.11'
app_file: app.py
pinned: false
hardware: cpu-upgrade

TriChronos-0.1B — Evaluation Space

Upload a TriChronos checkpoint and run zero-shot MASE evaluation against the Monash Time Series Forecasting benchmark.

Runs fully on CPU — no GPU required.

Usage

1. Upload a model_state.pt checkpoint (from the training Space)
2. Set the max series per dataset (default 50 for fast eval)
3. Click Run Evaluation
4. Watch MASE results stream in per dataset

What is MASE?

Mean Absolute Scaled Error vs. a seasonal-naive baseline. Lower is better. MASE < 1.0 means the model beats the naive forecast.