CogACT-Large / config.yaml
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Initial commit of CogACT-Large
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data_root_dir: /mnt/blob/open_x
diffusion_model_type: DiT-L
future_action_window_size: 15
hf_token: HF_TOKEN
image_aug: true
is_resume: false
load_all_data_for_training: true
past_action_window_size: 0
pretrained_checkpoint: /mnt/blob/vla_model/openvla-7b-prismatic/checkpoints/step-295000-epoch-40-loss=0.2200.pt
repeated_diffusion_steps: 8
resume_epoch: null
resume_step: null
run_id: prism-dinosiglip-224px+oxe+diffusion+n2+b16+x42--image_aug
run_id_note: null
run_root_dir: /mnt/blob/cogact/ditl_8_lr2e-5_b16_fa15_pa0_shuffle_oxe
save_interval: 5000
seed: 42
trackers:
- jsonl
- wandb
use_ema: true
vla:
base_vlm: prism-dinosiglip-224px+7b
data_mix: oxe_magic_soup_plus_minus
enable_gradient_checkpointing: true
enable_mixed_precision_training: true
epochs: 100
expected_world_size: 16
freeze_llm_backbone: false
freeze_vision_backbone: false
global_batch_size: 256
learning_rate: 2.0e-05
lr_scheduler_type: constant
max_grad_norm: 1.0
max_steps: null
per_device_batch_size: 16
reduce_in_full_precision: true
shuffle_buffer_size: 250000
train_strategy: fsdp-full-shard
type: prism-dinosiglip-224px+oxe+diffusion
unfreeze_last_llm_layer: false
vla_id: prism-dinosiglip-224px+oxe+diffusion
warmup_ratio: 0.0
weight_decay: 0.0
wandb_entity: null
wandb_project: null