Use this for every training experiment.
Experiment
- Experiment ID:
- Date:
- Module:
- Question:
- Dataset/source:
- Intended use:
- Not intended for:
Data
- Number of rows/items:
- Input shape:
- Target or label:
- Split method:
- Known limitations:
- Leakage checks:
Model
- Baseline:
- PyTorch model:
- Loss:
- Optimizer:
- Learning rate:
- Epochs:
- Batch size:
- Random seed:
- CPU/GPU:
Results
| Metric | Train | Validation | Test, if allowed |
|---|---|---|---|
| Loss | |||
| Main metric |
Diagnostics
- Training curve pattern:
- Overfitting signs:
- Underfitting signs:
- Instability signs:
- Error examples inspected:
Decision
- Accept / revise / reject / run more checks:
- Reason:
- Next change:
- Limitations:
