vjxla / configs /train /vitg16 /droid-256px-8f.yaml
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app: vjepa_droid
cpus_per_task: 12
folder: /your_folder/droid/4.8.vitg16-256px-8f
mem_per_gpu: 220G
nodes: 4
tasks_per_node: 8
data:
batch_size: 8
camera_views:
- left_mp4_path
crop_size: 256
datasets:
- /your_file_path/droid_train_paths_cw.csv
dataset_fpcs:
- 8
fps: 4
num_workers: 12
patch_size: 16
pin_mem: true
stereo_view: false
tubelet_size: 2
data_aug:
auto_augment: false
horizontal_flip: false
motion_shift: false
random_resize_aspect_ratio:
- 0.75
- 1.35
random_resize_scale:
- 1.777
- 1.777
reprob: 0.0
loss:
auto_steps: 2
loss_exp: 1.0
normalize_reps: true
reg_coeff: 0.0
meta:
dtype: bfloat16
eval_freq: 100
resume_checkpoint: null
load_predictor: false
pretrain_checkpoint: /your_vjepa2_checkpoints/vitg.pt
context_encoder_key: target_encoder
target_encoder_key: target_encoder
save_every_freq: 25
seed: 239
use_sdpa: true
model:
model_name: vit_giant_xformers
pred_depth: 24
pred_embed_dim: 1024
pred_is_frame_causal: true
pred_num_heads: 16
uniform_power: true
use_activation_checkpointing: true
use_extrinsics: false
use_rope: true
optimization:
anneal: 15
epochs: 315
final_lr: 0.0
final_weight_decay: 0.04
ipe: 300
lr: 0.000425
start_lr: 0.000075
warmup: 15
weight_decay: 0.04