Epoch 5

config.json

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+{
+  "_class_name": "UNet2DModel",
+  "_diffusers_version": "0.18.2",
+  "act_fn": "silu",
+  "add_attention": true,
+  "attention_head_dim": 8,
+  "block_out_channels": [
+    16,
+    24,
+    32
+  ],
+  "center_input_sample": false,
+  "class_embed_type": null,
+  "down_block_types": [
+    "DownBlock2D",
+    "AttnDownBlock2D",
+    "AttnDownBlock2D"
+  ],
+  "downsample_padding": 1,
+  "downsample_type": "conv",
+  "flip_sin_to_cos": true,
+  "freq_shift": 0,
+  "in_channels": 2,
+  "layers_per_block": 3,
+  "mid_block_scale_factor": 1,
+  "norm_eps": 1e-05,
+  "norm_num_groups": 4,
+  "num_class_embeds": 24,
+  "out_channels": 1,
+  "resnet_time_scale_shift": "default",
+  "sample_size": [
+    160,
+    240
+  ],
+  "time_embedding_type": "positional",
+  "up_block_types": [
+    "AttnUpBlock2D",
+    "AttnUpBlock2D",
+    "UpBlock2D"
+  ],
+  "upsample_type": "conv"
+}

diffusion_pytorch_model.bin

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logs/Train Denoising Diffusion Model/1691156410.3334293/events.out.tfevents.1691156410.5562ac1d6f58.867767.1

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logs/Train Denoising Diffusion Model/1691156410.3378894/hparams.yml

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+batch_size: 4
+device: cuda
+hf_repo_name: predictia/cerra_denoise_nn_pixel-scaled_large
+hour_embed_type: class
+hub_private_repo: false
+input-area: longitude=[-8.35, 6.6],latitude=[46.45, 35.5]
+input-dataset: era5
+input-resolution: 025deg
+input-scaling: pixel-wise
+input-variables: t2m
+learning_rate: 0.001
+lr_warmup_steps: 500
+mixed_precision: fp16
+num_epochs: 30
+num_samples: 3
+number_model_params: 470129
+output-area: longitude=[-6.85, 5.1],latitude=[44.95, 37]
+output-dataset: cerra
+output-resolution: 005deg
+output-scaling: pixel-wise
+output-variable: t2m
+output_dir: cddpm-probando-large
+overwrite_output_dir: true
+push_to_hub: true
+save_image_epochs: 10
+save_model_epochs: 5
+seed: 2023
+static_covariables: null
+train-coverage: 1981/01-2013/12
+validation-coverage: 2014/01-2017/12

logs/Train Denoising Diffusion Model/events.out.tfevents.1691156410.5562ac1d6f58.867767.0

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