Upload models/fbresnet/gaussian_snrneg5_seed44/config.yaml with huggingface_hub

models/fbresnet/gaussian_snrneg5_seed44/config.yaml

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+experiment:
+  name: random_noise_fbresnet_adapted_gaussian_snrneg5_seed44
+  output_dir: /root/swz/results/random_noise
+  seed: 44
+  device: cuda
+data:
+  segy:
+    path: /root/swz/data/SEG_45Shot_shots1-9.sgy
+    traces_per_shot: 201
+    time_downsample: 1
+  shot_split:
+    train: 7
+    val: 1
+    test: 1
+  loader:
+    batch_size: 16
+    num_workers: 4
+    pin_memory: true
+preprocess:
+  dt: 0.002
+  t0: 0.0
+  spherical_power: 0
+  noise_kind: gaussian
+  snr_db: -5.0
+  normalize_mode: max_abs
+  normalize_scope: shot
+  patch_time: 256
+  patch_trace: 128
+  patch_overlap: 0.5
+  max_shots: null
+  skip:
+  - spherical_divergence_correction
+model:
+  type: fbresnet
+  params:
+    in_channels: 1
+    out_channels: 1
+    num_residual_blocks: 8
+    base_channels: 64
+    kernel_size: 3
+    edge_cnn_layers: 3
+    feedback_lambda: 0.5
+    feedback_threshold: 0.1
+    max_feedback_iters: 20
+    use_feedback: false
+    training_feedback: false
+loss:
+  type: mse
+  params:
+    reduction: mean
+metrics:
+- name: snr
+  params:
+    reduction: per_sample
+- name: psnr
+  params:
+    data_range: 1.0
+    reduction: per_sample
+- name: ssim
+  params:
+    data_range: 2.0
+    window_size: 11
+    sigma: 1.5
+- name: mae
+  params: {}
+- name: mse
+  params: {}
+- name: rmse
+  params:
+    reduction: per_sample
+optim:
+  type: adamw
+  params:
+    lr: 0.0001
+    weight_decay: 1.0e-05
+scheduler:
+  type: cosine
+  params:
+    min_lr: 1.0e-06
+train:
+  epochs: 200
+  grad_clip: 1.0
+  log_step: false
+  log_interval: 10
+  eval_interval: 1
+  ckpt_interval: 20
+  vis_interval: 5
+  resume: null
+log:
+  log_dir: logs
+  plot_interval: 5
+inference:
+  data:
+    segy:
+      path: /root/swz/data/SEG_45Shot_shots1-9.sgy
+      traces_per_shot: 201
+      time_downsample: 1
+  shot_split:
+    train: 7
+    val: 1
+    test: 1
+  checkpoint: /root/swz/results/random_noise/random_noise_fbresnet_adapted_gaussian_snrneg5_seed44/checkpoints/best.pt
+  output_dir: /root/swz/results/random_noise/random_noise_fbresnet_adapted_gaussian_snrneg5_seed44/inference
+  n_viz_shots: 5
+  device: cuda:0
+  batch_size: 16
+  seed: 44