Epoch 10
Browse files- logs/Train Super-Resolution NN (ConvSwin2SR)/1691046162.9011583/events.out.tfevents.1691046162.5562ac1d6f58.843747.1 +3 -0
- logs/Train Super-Resolution NN (ConvSwin2SR)/1691046162.9055266/hparams.yml +30 -0
- logs/Train Super-Resolution NN (ConvSwin2SR)/1691046682.655811/events.out.tfevents.1691046682.5562ac1d6f58.846754.1 +3 -0
- logs/Train Super-Resolution NN (ConvSwin2SR)/1691046682.6604095/hparams.yml +30 -0
- logs/Train Super-Resolution NN (ConvSwin2SR)/events.out.tfevents.1691046162.5562ac1d6f58.843747.0 +3 -0
- logs/Train Super-Resolution NN (ConvSwin2SR)/events.out.tfevents.1691046682.5562ac1d6f58.846754.0 +3 -0
- pytorch_model.bin +1 -1
- samples/ConvSwin2SR_0005.png +2 -2
- samples/ConvSwin2SR_0010.png +2 -2
logs/Train Super-Resolution NN (ConvSwin2SR)/1691046162.9011583/events.out.tfevents.1691046162.5562ac1d6f58.843747.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:6152f642c22e8f354ec24129a8e5592247741bca4a50afb85044b7bfe7e3d6ed
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size 1919
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logs/Train Super-Resolution NN (ConvSwin2SR)/1691046162.9055266/hparams.yml
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batch_size: 2
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device: cuda
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hf_repo_name: predictia/europe_reanalysis_downscaler_convswin2sr_orog-high
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hour_embed_type: none
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hub_private_repo: false
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input-area: longitude=[-8.35, 6.6],latitude=[46.45, 35.5]
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input-dataset: era5
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input-resolution: 025deg
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input-scaling: domain-wise
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input-variables: t2m
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learning_rate: 0.0001
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lr_warmup_steps: 500
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mixed_precision: fp16
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num_epochs: 100
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num_samples: 3
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number_model_params: 649855
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output-area: longitude=[-6.85, 5.1],latitude=[44.95, 37]
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output-dataset: cerra
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output-resolution: 005deg
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output-scaling: domain-wise
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output-variable: t2m
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output_dir: swin2sr-1985_2020-orog-high
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overwrite_output_dir: true
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push_to_hub: true
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save_image_epochs: 5
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save_model_epochs: 10
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seed: 2023
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static_covariables: orog-high
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train-coverage: 1981/01-2013/12
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validation-coverage: 2014/01-2017/12
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logs/Train Super-Resolution NN (ConvSwin2SR)/1691046682.655811/events.out.tfevents.1691046682.5562ac1d6f58.846754.1
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:c8a2b7ab92c4d765710163b68fe67c3d2d6b2cae96841fb4cb15bae6b67cb71b
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size 1919
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logs/Train Super-Resolution NN (ConvSwin2SR)/1691046682.6604095/hparams.yml
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batch_size: 2
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+
device: cuda
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+
hf_repo_name: predictia/europe_reanalysis_downscaler_convswin2sr_orog-high
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4 |
+
hour_embed_type: none
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+
hub_private_repo: false
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+
input-area: longitude=[-8.35, 6.6],latitude=[46.45, 35.5]
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7 |
+
input-dataset: era5
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+
input-resolution: 025deg
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+
input-scaling: domain-wise
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+
input-variables: t2m
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learning_rate: 0.0001
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+
lr_warmup_steps: 500
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mixed_precision: fp16
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+
num_epochs: 100
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+
num_samples: 3
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+
number_model_params: 649855
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+
output-area: longitude=[-6.85, 5.1],latitude=[44.95, 37]
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18 |
+
output-dataset: cerra
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+
output-resolution: 005deg
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+
output-scaling: domain-wise
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21 |
+
output-variable: t2m
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+
output_dir: swin2sr-1985_2020-orog-high
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+
overwrite_output_dir: true
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+
push_to_hub: true
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+
save_image_epochs: 5
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+
save_model_epochs: 10
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+
seed: 2023
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static_covariables: orog-high
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train-coverage: 1981/01-2013/12
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validation-coverage: 2014/01-2017/12
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logs/Train Super-Resolution NN (ConvSwin2SR)/events.out.tfevents.1691046162.5562ac1d6f58.843747.0
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:9dd9fe536ef618d7a2d6fad09289d9d30391e3275238b183e1e6025d71663f23
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size 1812530
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logs/Train Super-Resolution NN (ConvSwin2SR)/events.out.tfevents.1691046682.5562ac1d6f58.846754.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:1efc5b1604b89f44fc1baa522ab919096363e38f6649c004dc88f59e19fb3172
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size 136346938
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 2694197
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size 2694197
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samples/ConvSwin2SR_0005.png
CHANGED
Git LFS Details
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Git LFS Details
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samples/ConvSwin2SR_0010.png
CHANGED
Git LFS Details
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Git LFS Details
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