remove gradient accumulation

configs/grids/lp_grid.yaml

@@ -9,8 +9,8 @@ grid:
   optimization.weight_decay: [5.0e-4, 0]
   optimization.momentum: [0.9]
   optimization.lr_schedule: [cosine]
-  optimization.gradient_accumulation_steps: [8, 16, 32, 64]
+  optimization.gradient_accumulation_steps: [1]
-  data.batch_size: [16]
+  data.batch_size: [128, 256, 512, 1024]
   meta.representation_type: [last_avgpool, last4_avgpool_concat]
   meta.head_type: [linear, bn_linear]
 

configs/supervised_vitg16_224_in22k.yaml

@@ -12,7 +12,7 @@ meta:
   use_gradient_checkpointing: true
 
 data:
-  batch_size: 16
+  batch_size: 256
   root_path: ./wilds_data
   num_workers: 10
   pin_mem: true
@@ -33,7 +33,7 @@ optimization:
   lr: 0.001
   weight_decay: 5.0e-4
   lr_schedule: cosine
-  gradient_accumulation_steps: 16
+  gradient_accumulation_steps: 1
   final_lr: 0.0
   early_stopping:
     enabled: true

configs/supervised_vith14_224.yaml

@@ -10,7 +10,7 @@ meta:
   head_type: bn_linear
 
 data:
-  batch_size: 16
+  batch_size: 512
   root_path: ./wilds_data
   num_workers: 10
   pin_mem: true
@@ -31,7 +31,7 @@ optimization:
   lr: 0.001
   weight_decay: 5.0e-4
   lr_schedule: cosine
-  gradient_accumulation_steps: 32
+  gradient_accumulation_steps: 1
   final_lr: 0.0
   early_stopping:
     enabled: true

configs/supervised_vith14_224_in1k.yaml

@@ -11,7 +11,7 @@ meta:
   head_type: linear
 
 data:
-  batch_size: 16
+  batch_size: 1024
   root_path: ./wilds_data
   num_workers: 10
   pin_mem: true
@@ -32,7 +32,7 @@ optimization:
   lr: 0.01
   weight_decay: 0
   lr_schedule: cosine
-  gradient_accumulation_steps: 64
+  gradient_accumulation_steps: 1
   final_lr: 0.0
   early_stopping:
     enabled: true

configs/supervised_vith14_224_in22k.yaml

@@ -11,7 +11,7 @@ meta:
   head_type: bn_linear
 
 data:
-  batch_size: 16
+  batch_size: 512
   root_path: ./wilds_data
   num_workers: 10
   pin_mem: true
@@ -32,7 +32,7 @@ optimization:
   lr: 0.001
   weight_decay: 5.0e-4
   lr_schedule: cosine
-  gradient_accumulation_steps: 32
+  gradient_accumulation_steps: 1
   final_lr: 0.0
   early_stopping:
     enabled: true

configs/supervised_vith16_448.yaml

@@ -10,7 +10,7 @@ meta:
   head_type: bn_linear
 
 data:
-  batch_size: 16
+  batch_size: 1024
   root_path: ./wilds_data
   num_workers: 10
   pin_mem: true
@@ -31,7 +31,7 @@ optimization:
   lr: 0.01
   weight_decay: 5.0e-4
   lr_schedule: cosine
-  gradient_accumulation_steps: 64
+  gradient_accumulation_steps: 1
   final_lr: 0.0
   early_stopping:
     enabled: true

configs/supervised_vith16_448_in1k.yaml

@@ -12,7 +12,7 @@ meta:
   use_gradient_checkpointing: true
 
 data:
-  batch_size: 64
+  batch_size: 512
   root_path: ./wilds_data
   num_workers: 10
   pin_mem: true
@@ -33,7 +33,7 @@ optimization:
   lr: 0.001
   weight_decay: 0
   lr_schedule: cosine
-  gradient_accumulation_steps: 8
+  gradient_accumulation_steps: 1
   final_lr: 0.0
   early_stopping:
     enabled: true