| batch_size: 2 | |
| device: cuda | |
| hf_repo_name: predictia/europe_reanalysis_downscaler_convswin2sr_orog-high | |
| hour_embed_type: none | |
| hub_private_repo: false | |
| input-area: longitude=[-8.35, 6.6],latitude=[46.45, 35.5] | |
| input-dataset: era5 | |
| input-resolution: 025deg | |
| input-scaling: domain-wise | |
| input-variables: t2m | |
| learning_rate: 0.0001 | |
| lr_warmup_steps: 500 | |
| mixed_precision: fp16 | |
| num_epochs: 100 | |
| num_samples: 3 | |
| number_model_params: 649855 | |
| output-area: longitude=[-6.85, 5.1],latitude=[44.95, 37] | |
| output-dataset: cerra | |
| output-resolution: 005deg | |
| output-scaling: domain-wise | |
| output-variable: t2m | |
| output_dir: swin2sr-1985_2020-orog-high | |
| overwrite_output_dir: true | |
| push_to_hub: true | |
| save_image_epochs: 5 | |
| save_model_epochs: 10 | |
| seed: 2023 | |
| static_covariables: orog-high | |
| train-coverage: 1981/01-2013/12 | |
| validation-coverage: 2014/01-2017/12 | |