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config.json

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+{
+  "architectures": [
+    "ConvSwin2SR"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
+    6,
+    6,
+    6,
+    6,
+    6,
+    6
+  ],
+  "drop_path_rate": 0.1,
+  "embed_dim": 180,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "image_size": [
+    32,
+    48
+  ],
+  "img_range": 1,
+  "initializer_range": 0.02,
+  "input_shape": [
+    44,
+    60
+  ],
+  "interpolation_method": "bicubic",
+  "layer_norm_eps": 1e-05,
+  "mlp_ratio": 2.0,
+  "model_type": "conv_swin2sr",
+  "num_channels": 1,
+  "num_heads": [
+    6,
+    6,
+    6,
+    6,
+    6,
+    6
+  ],
+  "num_high_res_covars": 0,
+  "num_layers": 6,
+  "patch_size": 1,
+  "qkv_bias": true,
+  "real_upscale": 5,
+  "resi_connection": "1conv",
+  "sample_size": [
+    160,
+    240
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.1",
+  "upsampler": "pixelshuffle",
+  "upscale": 8,
+  "use_absolute_embeddings": false,
+  "window_size": 5
+}

logs/Train Super-Resolution NN (ConvSwin2SR)/1695130663.064332/events.out.tfevents.1695130663.ebed10aef8f5.321527.1

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logs/Train Super-Resolution NN (ConvSwin2SR)/1695130663.0680573/hparams.yml

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+batch_size: 2
+device: cuda
+hf_repo_name: predictia/convswin2sr_mediterranean
+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
+num_workers: 0
+number_model_params: 12383377
+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: /srv/swin2sr-1985_2020
+overwrite_output_dir: true
+push_to_hub: false
+save_image_epochs: 5
+save_model_epochs: 10
+seed: 2023
+static_covariables: null
+train-coverage: 1981/01-2013/12
+validation-coverage: 2014/01-2017/12

logs/Train Super-Resolution NN (ConvSwin2SR)/1695130683.3485534/events.out.tfevents.1695130683.ebed10aef8f5.321527.3

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logs/Train Super-Resolution NN (ConvSwin2SR)/1695130683.3505514/hparams.yml

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+batch_size: 2
+device: cuda
+hf_repo_name: predictia/convswin2sr_mediterranean
+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
+num_workers: 0
+number_model_params: 12383377
+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: /srv/swin2sr-1985_2020
+overwrite_output_dir: true
+push_to_hub: false
+save_image_epochs: 5
+save_model_epochs: 10
+seed: 2023
+static_covariables: null
+train-coverage: 1981/01-2013/12
+validation-coverage: 2014/01-2017/12

logs/Train Super-Resolution NN (ConvSwin2SR)/events.out.tfevents.1695130663.ebed10aef8f5.321527.0

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logs/Train Super-Resolution NN (ConvSwin2SR)/events.out.tfevents.1695130683.ebed10aef8f5.321527.2

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pytorch_model.bin

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