vit giant run

This commit is contained in:
YannAhlgrim
2026-06-29 11:44:35 +02:00
parent 816fdd29ff
commit b46d86e517
2 changed files with 61 additions and 1 deletions
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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