Download conf/config.yaml from OneScience-Group/ClimateNet: direct link, hf CLI and curl.
- Browser
- Download file 637 Bytes
-
https://huggingface.co/OneScience-Group/ClimateNet/resolve/main/conf/config.yaml
- Command line
-
hf download hf://OneScience-Group/ClimateNet/conf/config.yaml
-
curl -L -o config.yaml https://huggingface.co/OneScience-Group/ClimateNet/resolve/main/conf/config.yaml
637 Bytes
| seed: 42 | |
| data: {path: data/climatenet.npz, samples: 24, channels: 4, tile: [96, 96], logical_grid: [1152, 768], classes: 3} | |
| model: {channels: 4, classes: 3, hidden: 16} | |
| train: {epochs: 2, learning_rate: 0.0015, class_weights: [1, 16, 16]} | |
| paths: {checkpoint: result/checkpoints/climatenet.pt, training_metrics: result/training/metrics.json, predictions: result/output/predictions.npz, evaluation: result/evaluation/metrics.json, figure: result/evaluation/comparison.png} | |
| paper_model: {input_shape: [4, 1152, 768], classes: [BG, TC, AR], optimizer: Adam, learning_rate: 0.0015, batch_size: 16, expert_epochs: 5, paper_license: CC-BY-4.0} | |