Download conf/config.yaml from OneScience-Group/WRF-ML: direct link, hf CLI and curl.
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https://huggingface.co/OneScience-Group/WRF-ML/resolve/main/conf/config.yaml
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hf download hf://OneScience-Group/WRF-ML/conf/config.yaml
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curl -L -o config.yaml https://huggingface.co/OneScience-Group/WRF-ML/resolve/main/conf/config.yaml
760 Bytes
| seed: 42 | |
| data: | |
| format_version: wrf_ml_columns_v1 | |
| manifest: data/manifest.json | |
| samples: 16 | |
| vertical_levels: 57 | |
| input_features: 10 | |
| profile_outputs: 4 | |
| boundary_outputs: 2 | |
| model: | |
| input_features: 10 | |
| hidden_size: 16 | |
| layers: 3 | |
| profile_outputs: 4 | |
| boundary_outputs: 2 | |
| train: | |
| epochs: 1 | |
| learning_rate: 0.001 | |
| paths: | |
| checkpoint: result/checkpoints/wrf_ml.pt | |
| training_metrics: result/training/metrics.json | |
| predictions: result/output/predictions.npz | |
| evaluation: result/evaluation/metrics.json | |
| figure: result/evaluation/comparison.png | |
| paper_model: | |
| wrf_version: 4.3 | |
| horizontal_grid: [190, 170] | |
| horizontal_resolution_km: 5 | |
| vertical_levels: 57 | |
| model_top_hpa: 10 | |
| sampling_minutes: 30 | |
| model_d_layers: 3 | |
| model_d_hidden_size: 32 | |