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nodes: 8
tasks_per_node: 8
cpus_per_task: 12
tag: ek100-vitl16
eval_name: action_anticipation_frozen
folder: /your_folder/evals/vitl/ek100
resume_checkpoint: true
experiment:
classifier:
num_probe_blocks: 4
num_heads: 16
data:
anticipation_time_sec:
- 1.0
- 1.0
auto_augment: true
file_format: 0
dataset: EK100
# e.g. /home/username/EPIC-KITCHENS
base_path: /your_ek100_root_dir/
dataset_train: /your_data/EPIC_100_train.csv
dataset_val: /your_data/EPIC_100_validation.csv
frames_per_clip: 32
frames_per_second: 8
motion_shift: false
num_workers: 2
pin_memory: true
random_resize_scale:
- 0.08
- 1.0
reprob: 0.25
resolution: 256
train_anticipation_point:
- 0.0
- 0.25
train_anticipation_time_sec:
- 0.25
- 1.75
optimization:
num_epochs: 20
batch_size: 2
use_bfloat16: true
use_focal_loss: true
multihead_kwargs:
- weight_decay: 0.0001
final_weight_decay: 0.0001
lr: 0.005
start_lr: 0.005
final_lr: 0.0
warmup: 0.
- weight_decay: 0.0001
final_weight_decay: 0.0001
lr: 0.003
start_lr: 0.003
final_lr: 0.0
warmup: 0.
- weight_decay: 0.0001
final_weight_decay: 0.0001
lr: 0.001
start_lr: 0.001
final_lr: 0.0
warmup: 0.
- weight_decay: 0.0001
final_weight_decay: 0.0001
lr: 0.0003
start_lr: 0.0003
final_lr: 0.0
warmup: 0.
- weight_decay: 0.0001
final_weight_decay: 0.0001
lr: 0.0001
start_lr: 0.0001
final_lr: 0.0
warmup: 0.
- weight_decay: 0.001
final_weight_decay: 0.001
lr: 0.005
start_lr: 0.005
final_lr: 0.0
warmup: 0.
- weight_decay: 0.001
final_weight_decay: 0.001
lr: 0.003
start_lr: 0.003
final_lr: 0.0
warmup: 0.
- weight_decay: 0.001
final_weight_decay: 0.001
lr: 0.001
start_lr: 0.001
final_lr: 0.0
warmup: 0.
- weight_decay: 0.001
final_weight_decay: 0.001
lr: 0.0003
start_lr: 0.0003
final_lr: 0.0
warmup: 0.
- weight_decay: 0.001
final_weight_decay: 0.001
lr: 0.0001
start_lr: 0.0001
final_lr: 0.0
warmup: 0.
- weight_decay: 0.01
final_weight_decay: 0.01
lr: 0.005
start_lr: 0.005
final_lr: 0.0
warmup: 0.
- weight_decay: 0.01
final_weight_decay: 0.01
lr: 0.003
start_lr: 0.003
final_lr: 0.0
warmup: 0.
- weight_decay: 0.01
final_weight_decay: 0.01
lr: 0.001
start_lr: 0.001
final_lr: 0.0
warmup: 0.
- weight_decay: 0.01
final_weight_decay: 0.01
lr: 0.0003
start_lr: 0.0003
final_lr: 0.0
warmup: 0.
- weight_decay: 0.01
final_weight_decay: 0.01
lr: 0.0001
start_lr: 0.0001
final_lr: 0.0
warmup: 0.
- weight_decay: 0.1
final_weight_decay: 0.1
lr: 0.005
start_lr: 0.005
final_lr: 0.0
warmup: 0.
- weight_decay: 0.1
final_weight_decay: 0.1
lr: 0.003
start_lr: 0.003
final_lr: 0.0
warmup: 0.
- weight_decay: 0.1
final_weight_decay: 0.1
lr: 0.001
start_lr: 0.001
final_lr: 0.0
warmup: 0.
- weight_decay: 0.1
final_weight_decay: 0.1
lr: 0.0003
start_lr: 0.0003
final_lr: 0.0
warmup: 0.
- weight_decay: 0.1
final_weight_decay: 0.1
lr: 0.0001
start_lr: 0.0001
final_lr: 0.0
warmup: 0.
model_kwargs:
checkpoint: /your_vjepa2_checkpoints/vitl.pt
module_name: evals.action_anticipation_frozen.modelcustom.vit_encoder_predictor_concat_ar
wrapper_kwargs:
no_predictor: false
num_output_frames: 2
num_steps: 1
pretrain_kwargs:
encoder:
model_name: vit_large
checkpoint_key: target_encoder
tubelet_size: 2
patch_size: 16
uniform_power: true
use_rope: true
predictor:
model_name: vit_predictor
checkpoint_key: predictor
num_frames: 64
depth: 12
num_heads: 12
predictor_embed_dim: 384
num_mask_tokens: 10
uniform_power: true
use_mask_tokens: true
use_sdpa: true
use_silu: false
wide_silu: false
use_rope: true