logs-21 / config.yaml
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actor:
model:
model_type: openpi_pytorch
precision: fp32
is_lora: false
lora_rank: 32
num_action_chunks: 20
action_dim: 10
use_proprio: true
num_steps: 5
add_value_head: false
openpi:
task: sft
config_name: pi05_singlefranka_tcp_rot6d
num_images_in_input: 3
action_chunk: 20
action_env_dim: 10
model_action_dim: 32
paligemma_variant: gemma_2b
action_expert_variant: gemma_300m
max_token_len: 200
discrete_state_input: false
assets_dir: /mnt/workspace/embody-h2/users/zhaozihao/DAgger/assets/pi05_singlefranka_tcp_rot6d/umi_left_franka_tcp_rot6d
asset_id: fold_towel_umi-50plusEgodagger-franka_post_train_80_20
model_path: /mnt/workspace/embody-h2/users/zhaozihao/checkpoint_archive/fold_towel_umi50plusEgodagger_sft4000_weights_only
fsdp_config:
strategy: fsdp
sharding_strategy: full_shard
gradient_checkpointing: true
cpu_offload: false
offload_pin_memory: false
reshard_after_forward: true
enable_gradient_accumulation: true
forward_prefetch: false
limit_all_gathers: false
backward_prefetch: null
use_orig_params: true
use_liger_kernel: false
mixed_precision:
param_dtype: bf16
reduce_dtype: fp32
buffer_dtype: fp32
amp_autocast:
enabled: false
precision: bf16
grad_scaler:
enabled: false
init_scale: null
growth_interval: null
gradient_checkpointing_use_reentrant: false
group_name: ActorGroup
training_backend: fsdp
micro_batch_size: 16
eval_batch_size: 1
global_batch_size: 128
seed: 0
optim:
lr: 2.5e-06
adam_beta1: 0.9
adam_beta2: 0.95
adam_eps: 1.0e-08
weight_decay: 1.0e-10
clip_grad: 1.0
total_training_steps: 20000
lr_warmup_steps: 500
lr_scheduler: openpi_cosine
num_cycles: 0.5
min_lr: 2.5e-07
cluster:
num_nodes: 1
component_placement:
actor: 0-3
runner:
task_type: sft
logger:
log_path: /mnt/workspace/embody-h2/users/zhaozihao/DAgger/logs/fold_towel_umi-50plusEgodagger-franka-1
project_name: rlinf
experiment_name: umi_left_franka_tcp_rot6d_openpi_pytorch_post-train-weights-only8-2
logger_backends:
- tensorboard
max_epochs: -1
max_steps: 20000
val_check_interval: -1
save_interval: 2000
resume_dir: null
checkpoint_offload_dir: /mnt/workspace/embody-h2/users/zhaozihao/checkpoint_archive
per_worker_log: false
per_worker_log_path: null
data:
train_data_paths: dataset/fold_towel_umi-50plusEgodagger-franka
post_train: true
post_train_data_path: /mnt/workspace/embody-h2/users/zhaozihao/DAgger/egodagger_dataset/fold_towel_umi-egodagger2-franka
post_train_demo_ratio: 0.8
post_train_correction_ratio: 0.2
repo_id: ''
num_workers: 4
algorithm:
adv_type: gae
reward:
use_reward_model: false
critic:
use_critic_model: false