Kiduki Care AI GRU Multitask
This repository contains GRU-based multitask classifiers trained from first-person caregiving video clips.
Included checkpoints
best_model_all_data.pt- Trained on all data (
train_on_all_data=true) - No held-out validation/test in this setting
- Trained on all data (
best_model_baseline.pt- Train/val/test split baseline
- Test metrics are available in
metrics_baseline.json
Tasks
The model predicts four labels per clip:
- Task label (
task) - Stage label (
stage) - Transfer type (
transfer_type) - Transfer route (
transfer_route)
Files
best_model_all_data.pt: all-data trained checkpointbest_model_baseline.pt: baseline checkpointlabel_maps_all_data.json,label_maps_baseline.json: label index mapsmetrics_all_data.json,metrics_baseline.json: training/evaluation metricstrain_gru_baseline.py: training scriptpredict_video.py: video inference script
Notes
- This is an application-oriented project for caregiving support workflows.
- The baseline checkpoint includes held-out test results.
- The all-data checkpoint may have higher in-sample performance but has no held-out test in current artifacts.
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