vit giant run

configs/grids/lp_grid.yaml

@@ -1,4 +1,4 @@
-base_config: configs/supervised_wilds_vith14_ep300-lp.yaml
+base_config: configs/supervised_wilds_vitg16_ep300-lp.yaml
 
 constants:
   logging.write_tag: linear_probe

configs/supervised_wilds_vitg16_ep300-lp.yaml

@@ -0,0 +1,60 @@
+meta:
+  model_name: vit_giant
+  tag: in22k
+  embed_dim: 1408
+  load_checkpoint: true
+  checkpoint_folder: experiment_logs/imagenet-vith16.448/
+  read_checkpoint: IN22K-vit.g.16-600e.pth.tar
+  use_bfloat16: true
+  num_classes: 182
+  representation_type: last_avgpool
+  head_type: linear
+  use_gradient_checkpointing: true
+
+data:
+  batch_size: 16
+  root_path: ./wilds_data
+  num_workers: 10
+  pin_mem: true
+  crop_size: 224
+  crop_scale: [1.0, 1.0]
+  use_random_resized_crop: false
+  use_horizontal_flip: false
+  use_color_distortion: false
+  color_jitter_strength: 0.0
+  use_gaussian_blur: false
+
+mask:
+  patch_size: 16
+
+optimization:
+  optimizer: adamw
+  freeze_weights: true
+  epochs: 300
+  lr: 0.01
+  weight_decay: 5.0e-4
+  lr_schedule: cosine
+  step_milestones: [15, 30, 45]
+  step_gamma: 0.1
+  start_lr: 0.0
+  final_lr: 0.0
+  warmup: 0
+  momentum: 0.99
+  lars_eta: 0.001
+  lars_eps: 1.0e-8
+  lars_exclude_bias_and_norm: true
+  ipe_scale: 1.0
+  gradient_accumulation_steps: 1
+  early_stopping:
+    enabled: true
+    patience: 10
+    min_delta: 1.0e-4
+    min_epochs: 15
+    restore_best_weights: true
+
+validation:
+  eval_every: 1
+
+logging:
+  write_tag: linear_probe
+  auto_folder: true