Consolidate task-transfer assets 1-14
Browse files- archive/task-transfer/openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3/checkpoints/steps_2000_model.safetensors +3 -0
- archive/task-transfer/openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3/config.full.yaml +368 -0
- archive/task-transfer/openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3/config.yaml +155 -0
- archive/task-transfer/openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3/dataset_statistics.json +127 -0
- archive/task-transfer/openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3/dataset_statistics_eval.json +127 -0
- archive/task-transfer/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1/checkpoints/steps_15000_model.safetensors +3 -0
- archive/task-transfer/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1/config.full.yaml +503 -0
- archive/task-transfer/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1/config.yaml +121 -0
- archive/task-transfer/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1/dataset_statistics.json +127 -0
- archive/task-transfer/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1/dataset_statistics_eval.json +127 -0
- archive/task-transfer/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1/hydra/.hydra/config.yaml +500 -0
- archive/task-transfer/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1/hydra/.hydra/hydra.yaml +463 -0
- archive/task-transfer/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1/hydra/.hydra/overrides.yaml +296 -0
- latency-aware/demon-attack/vla/starvla-qwenoft-h1/openvla_bridge_demon_attack_latency_mixed_024_exp1/checkpoints/steps_5000_model.safetensors +3 -0
archive/task-transfer/openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3/checkpoints/steps_2000_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:38e0a39116fe43c53068d76929d93fb391c669002fd43c359174ab267f609f3c
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size 9784896838
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archive/task-transfer/openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3/config.full.yaml
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|
| 1 |
+
framework:
|
| 2 |
+
name: QwenOFT
|
| 3 |
+
qwenvl:
|
| 4 |
+
base_vlm: /lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/talha-aug26/playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 5 |
+
attn_implementation: flash_attention_2
|
| 6 |
+
enable_gradient_checkpointing: true
|
| 7 |
+
action_model:
|
| 8 |
+
action_model_type: MLP
|
| 9 |
+
action_dim: 7
|
| 10 |
+
action_hidden_dim: 2560
|
| 11 |
+
future_action_window_size: 0
|
| 12 |
+
past_action_window_size: 0
|
| 13 |
+
loss_type: discrete_ce
|
| 14 |
+
state_dim: 7
|
| 15 |
+
action_horizon: 1
|
| 16 |
+
action_env_dim: 7
|
| 17 |
+
kv_memory:
|
| 18 |
+
enabled: false
|
| 19 |
+
window: 4
|
| 20 |
+
rollout_len: 8
|
| 21 |
+
packed_train: false
|
| 22 |
+
rebased_sink: true
|
| 23 |
+
datasets:
|
| 24 |
+
vla_data:
|
| 25 |
+
dataset_py: lerobot_datasets
|
| 26 |
+
include_state: false
|
| 27 |
+
data_root_dir: /lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/talha-aug26/playground/Datasets/rl_games
|
| 28 |
+
data_mix: cross__deadly_corridor_0_cross_train_openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3__lat0__1000ep_per_lat__bridge__defend_the_line_0_cross_train_openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3__lat0__1000ep_per_lat__bridge
|
| 29 |
+
eval_data_mix: cross__deadly_corridor_0_cross_train_openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3__lat0__1000ep_per_lat__bridge__defend_the_line_0_cross_train_openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3__lat0__1000ep_per_lat__bridge__val
|
| 30 |
+
custom_mixtures_path: /lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/talha-aug26/playground/Datasets/rl_games/_generated_mixtures/cross__deadly_corridor_0_cross_train_openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3__lat0__1000ep_per_lat__bridge__defend_the_line_0_cross_train_openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3__lat0__1000ep_per_lat__bridge.json
|
| 31 |
+
action_type: discrete
|
| 32 |
+
sequential_step_sampling: true
|
| 33 |
+
eval_sequential_step_sampling: null
|
| 34 |
+
num_workers: 8
|
| 35 |
+
eval_num_workers: 8
|
| 36 |
+
prefetch_factor: 4
|
| 37 |
+
persistent_workers: true
|
| 38 |
+
pin_memory: true
|
| 39 |
+
shuffle: true
|
| 40 |
+
action_balance:
|
| 41 |
+
enabled: false
|
| 42 |
+
strategy: balanced_epoch
|
| 43 |
+
action_key: action_id
|
| 44 |
+
target_flap_fraction: 0.3
|
| 45 |
+
noop_id: 0
|
| 46 |
+
flap_id: 1
|
| 47 |
+
latency_curriculum:
|
| 48 |
+
enabled: false
|
| 49 |
+
strategy: exclusive
|
| 50 |
+
latencies: null
|
| 51 |
+
phase_steps: null
|
| 52 |
+
phase_distributions: null
|
| 53 |
+
new_latency_passes: 1.0
|
| 54 |
+
replay_passes: 0.25
|
| 55 |
+
target_total_passes: 2.0
|
| 56 |
+
final_equalization: true
|
| 57 |
+
step_budget_mode: auto
|
| 58 |
+
eval_at_phase_end: false
|
| 59 |
+
save_at_phase_end: false
|
| 60 |
+
computed_plan: null
|
| 61 |
+
per_device_batch_size: 4
|
| 62 |
+
load_all_data_for_training: true
|
| 63 |
+
num_obs_frames: 1
|
| 64 |
+
image_mode: single
|
| 65 |
+
prompt_mode: raw
|
| 66 |
+
stitch_grid:
|
| 67 |
+
- 2
|
| 68 |
+
- 2
|
| 69 |
+
obs_image_size: null
|
| 70 |
+
video_backend: torchvision_av
|
| 71 |
+
dataset:
|
| 72 |
+
source_hf: ''
|
| 73 |
+
config_name: null
|
| 74 |
+
source_subdir: null
|
| 75 |
+
converted_name: cross_task_train
|
| 76 |
+
single_source_hf: ''
|
| 77 |
+
mixed_source_hf: ''
|
| 78 |
+
single_converted_name: flappy_train
|
| 79 |
+
mixed_converted_name: flappy_mixed_latency_train
|
| 80 |
+
single_latency_filter: null
|
| 81 |
+
mixed_latency_filter: null
|
| 82 |
+
force_download: false
|
| 83 |
+
setup_force: false
|
| 84 |
+
skip_verification: false
|
| 85 |
+
target_latency_unit: observation_steps
|
| 86 |
+
verify_rows: 200
|
| 87 |
+
max_episodes: null
|
| 88 |
+
episodes_per_latency: null
|
| 89 |
+
latency_filter: null
|
| 90 |
+
debug_subset:
|
| 91 |
+
enabled: false
|
| 92 |
+
max_episodes: 5
|
| 93 |
+
suffix: debug
|
| 94 |
+
base_model:
|
| 95 |
+
repo_id: Qwen/Qwen3-VL-4B-Instruct
|
| 96 |
+
initialization:
|
| 97 |
+
checkpoint_local_dir: playground/Pretrained_models/Qwen3VL-OFT-Bridge-RT-1
|
| 98 |
+
checkpoint_hf_repo_id: StarVLA/Qwen3VL-OFT-Bridge-RT-1
|
| 99 |
+
checkpoint_filename: checkpoints/steps_5000_pytorch_model.pt
|
| 100 |
+
trainer:
|
| 101 |
+
max_train_steps: 2000
|
| 102 |
+
num_warmup_steps: 0
|
| 103 |
+
save_interval: 500
|
| 104 |
+
eval_interval: 400
|
| 105 |
+
eval_num_batches: 100
|
| 106 |
+
per_latency_eval_num_batches: 5
|
| 107 |
+
eval_action_classification: true
|
| 108 |
+
eval_action_classification_interval: null
|
| 109 |
+
cc_f1_tolerance: 1
|
| 110 |
+
learning_rate:
|
| 111 |
+
base: 2.0e-05
|
| 112 |
+
qwen_vl_interface: 1.0e-05
|
| 113 |
+
action_model: 0.0001
|
| 114 |
+
lr_scheduler_type: cosine_with_min_lr
|
| 115 |
+
scheduler_specific_kwargs:
|
| 116 |
+
min_lr: 1.0e-06
|
| 117 |
+
freeze_modules: ''
|
| 118 |
+
freeze_vit: false
|
| 119 |
+
freeze_tied_embedding: false
|
| 120 |
+
freeze_llm_layers: []
|
| 121 |
+
loss_scale:
|
| 122 |
+
vla: 1.0
|
| 123 |
+
vlm: 0.1
|
| 124 |
+
max_grad_norm: 1.0
|
| 125 |
+
weight_decay: 0.0
|
| 126 |
+
logging_frequency: 1
|
| 127 |
+
profile_timing:
|
| 128 |
+
enabled: false
|
| 129 |
+
log_interval: 10
|
| 130 |
+
gradient_clipping: 1.0
|
| 131 |
+
gradient_accumulation_steps: 4
|
| 132 |
+
distributed_backend: deepspeed
|
| 133 |
+
is_resume: false
|
| 134 |
+
pretrained_checkpoint: null
|
| 135 |
+
resume_step: 0
|
| 136 |
+
reload_modules: null
|
| 137 |
+
optimizer:
|
| 138 |
+
name: AdamW
|
| 139 |
+
betas:
|
| 140 |
+
- 0.9
|
| 141 |
+
- 0.95
|
| 142 |
+
eps: 1.0e-08
|
| 143 |
+
weight_decay: 1.0e-08
|
| 144 |
+
fused: true
|
| 145 |
+
save_format: pt
|
| 146 |
+
workspace_dir: /lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/talha-aug26
|
| 147 |
+
run_root_dir: /lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/talha-aug26/results/Checkpoints
|
| 148 |
+
seed: 42
|
| 149 |
+
wandb_entity: zihanwang-ai-northwestern-university
|
| 150 |
+
wandb_project: starVLA_rl_games
|
| 151 |
+
auth:
|
| 152 |
+
env_file: null
|
| 153 |
+
hf_token_env: HF_TOKEN
|
| 154 |
+
wandb_api_key_env: WANDB_API_KEY
|
| 155 |
+
paths:
|
| 156 |
+
run_root_dir: results/Checkpoints
|
| 157 |
+
dataset_local_dir: playground/Datasets/rl_games
|
| 158 |
+
dataset_cache_dir: null
|
| 159 |
+
base_model_dir: playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 160 |
+
accelerate_config: starVLA/config/deepseeds/deepspeed_zero2.yaml
|
| 161 |
+
launch:
|
| 162 |
+
use_accelerate: true
|
| 163 |
+
gpus: null
|
| 164 |
+
num_processes: 1
|
| 165 |
+
dry_run: false
|
| 166 |
+
conda:
|
| 167 |
+
enabled: true
|
| 168 |
+
env_name: null
|
| 169 |
+
rl_games:
|
| 170 |
+
model_alias: openvla
|
| 171 |
+
task: cross_task
|
| 172 |
+
env_eval:
|
| 173 |
+
image_size: 224
|
| 174 |
+
frameskip: 1
|
| 175 |
+
deadly:
|
| 176 |
+
action_layout: multibinary_7
|
| 177 |
+
multibinary_threshold: 0.0
|
| 178 |
+
enabled: true
|
| 179 |
+
eval_backend: eval_core
|
| 180 |
+
distributed_mode: rank_sharded
|
| 181 |
+
vectorized:
|
| 182 |
+
enabled: false
|
| 183 |
+
batch_size: 1
|
| 184 |
+
latency:
|
| 185 |
+
prompt_map_path: null
|
| 186 |
+
mode: mixed
|
| 187 |
+
values:
|
| 188 |
+
- 0
|
| 189 |
+
- 1
|
| 190 |
+
- 2
|
| 191 |
+
- 3
|
| 192 |
+
- 4
|
| 193 |
+
- 5
|
| 194 |
+
mid_train:
|
| 195 |
+
enabled: true
|
| 196 |
+
interval_steps: 500
|
| 197 |
+
latencies:
|
| 198 |
+
- 0
|
| 199 |
+
- 1
|
| 200 |
+
- 2
|
| 201 |
+
- 3
|
| 202 |
+
- 4
|
| 203 |
+
- 5
|
| 204 |
+
num_episodes: 5
|
| 205 |
+
max_steps_per_episode: 3600
|
| 206 |
+
post_train:
|
| 207 |
+
enabled: true
|
| 208 |
+
latencies:
|
| 209 |
+
- 0
|
| 210 |
+
- 1
|
| 211 |
+
- 2
|
| 212 |
+
- 3
|
| 213 |
+
- 4
|
| 214 |
+
num_episodes: 5
|
| 215 |
+
max_steps_per_episode: 3600
|
| 216 |
+
cross_task:
|
| 217 |
+
train_tasks:
|
| 218 |
+
- name: defend_the_line
|
| 219 |
+
role: A
|
| 220 |
+
train_source_hf: latency-sensitive-bench/memory-rollouts
|
| 221 |
+
prompt_source_hf: latency-sensitive-bench/memory-rollouts
|
| 222 |
+
train_source_subdir: defend_the_line_fixed_latency_0_1000ep_7k2steps
|
| 223 |
+
prompt_source_subdir: defend_the_line_fixed_latency_0_1000ep_7k2steps
|
| 224 |
+
converted_name: defend_the_line_0_cross_train_openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3
|
| 225 |
+
train_latency_filter:
|
| 226 |
+
- 0
|
| 227 |
+
eval_latency_filter:
|
| 228 |
+
- 0
|
| 229 |
+
episodes_per_latency: 1000
|
| 230 |
+
max_episodes: null
|
| 231 |
+
weight: 1.0
|
| 232 |
+
- name: deadly_corridor
|
| 233 |
+
role: B
|
| 234 |
+
train_source_hf: latency-sensitive-bench/deadly_1000ep
|
| 235 |
+
prompt_source_hf: latency-sensitive-bench/deadly_1000ep
|
| 236 |
+
converted_name: deadly_corridor_0_cross_train_openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3
|
| 237 |
+
train_latency_filter:
|
| 238 |
+
- 0
|
| 239 |
+
eval_latency_filter:
|
| 240 |
+
- 0
|
| 241 |
+
- 2
|
| 242 |
+
- 4
|
| 243 |
+
episodes_per_latency: 1000
|
| 244 |
+
max_episodes: null
|
| 245 |
+
action_layout: multibinary_7
|
| 246 |
+
weight: 1.0
|
| 247 |
+
loss_by_task:
|
| 248 |
+
flappy: discrete_ce
|
| 249 |
+
demon_attack: discrete_ce
|
| 250 |
+
defend_the_line: discrete_ce
|
| 251 |
+
deadly_corridor: multibinary_bce
|
| 252 |
+
loss_weight_by_task:
|
| 253 |
+
flappy: 1.0
|
| 254 |
+
demon_attack: 1.0
|
| 255 |
+
defend_the_line: 1.0
|
| 256 |
+
deadly_corridor: 1.0
|
| 257 |
+
eval_tasks:
|
| 258 |
+
flappy:
|
| 259 |
+
prompt_map_path: null
|
| 260 |
+
frameskip: 1
|
| 261 |
+
image_size: 224
|
| 262 |
+
task_description: null
|
| 263 |
+
mid_train:
|
| 264 |
+
enabled: true
|
| 265 |
+
latencies: null
|
| 266 |
+
num_episodes: null
|
| 267 |
+
max_steps_per_episode: null
|
| 268 |
+
post_train:
|
| 269 |
+
enabled: true
|
| 270 |
+
latencies: null
|
| 271 |
+
num_episodes: null
|
| 272 |
+
max_steps_per_episode: null
|
| 273 |
+
demon_attack:
|
| 274 |
+
prompt_map_path: null
|
| 275 |
+
frameskip: 4
|
| 276 |
+
image_size: 224
|
| 277 |
+
task_description: null
|
| 278 |
+
mid_train:
|
| 279 |
+
enabled: true
|
| 280 |
+
latencies: null
|
| 281 |
+
num_episodes: null
|
| 282 |
+
max_steps_per_episode: null
|
| 283 |
+
post_train:
|
| 284 |
+
enabled: true
|
| 285 |
+
latencies: null
|
| 286 |
+
num_episodes: null
|
| 287 |
+
max_steps_per_episode: null
|
| 288 |
+
defend_the_line:
|
| 289 |
+
prompt_map_path: /lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/talha-aug26/playground/Datasets/rl_games/_prompt_maps/defend_the_line_0_cross_train_openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3__lat0__1000ep_per_lat__bridge/eval_latency_prompt_map.json
|
| 290 |
+
frameskip: 4
|
| 291 |
+
image_size: 224
|
| 292 |
+
task_description: 'You are playing Defend the Line in VizDoom. Your goal is
|
| 293 |
+
to survive by turning toward enemies and shooting them before they reach
|
| 294 |
+
you. The available actions are: TURN_LEFT, TURN_RIGHT, and ATTACK. Choose
|
| 295 |
+
the best next action from the current visual observation.'
|
| 296 |
+
mid_train:
|
| 297 |
+
enabled: false
|
| 298 |
+
latencies:
|
| 299 |
+
- 0
|
| 300 |
+
num_episodes: 5
|
| 301 |
+
max_steps_per_episode: 3600
|
| 302 |
+
post_train:
|
| 303 |
+
enabled: true
|
| 304 |
+
latencies:
|
| 305 |
+
- 0
|
| 306 |
+
- 2
|
| 307 |
+
- 4
|
| 308 |
+
num_episodes: 20
|
| 309 |
+
max_steps_per_episode: 3600
|
| 310 |
+
deadly_corridor:
|
| 311 |
+
prompt_map_path: /lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/talha-aug26/playground/Datasets/rl_games/_prompt_maps/deadly_corridor_0_cross_train_openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3__lat0__1000ep_per_lat__bridge/eval_latency_prompt_map.json
|
| 312 |
+
frameskip: 4
|
| 313 |
+
image_size: 224
|
| 314 |
+
task_description: You are playing Deadly Corridor in VizDoom. Choose actions
|
| 315 |
+
from MOVE_FORWARD, MOVE_BACKWARD, MOVE_LEFT, MOVE_RIGHT, TURN_LEFT, TURN_RIGHT,
|
| 316 |
+
ATTACK.
|
| 317 |
+
mid_train:
|
| 318 |
+
enabled: false
|
| 319 |
+
latencies:
|
| 320 |
+
- 0
|
| 321 |
+
num_episodes: 5
|
| 322 |
+
max_steps_per_episode: 3600
|
| 323 |
+
post_train:
|
| 324 |
+
enabled: true
|
| 325 |
+
latencies:
|
| 326 |
+
- 0
|
| 327 |
+
- 2
|
| 328 |
+
- 4
|
| 329 |
+
num_episodes: 20
|
| 330 |
+
max_steps_per_episode: 3600
|
| 331 |
+
initialization_mode: bridge
|
| 332 |
+
action_carrier: bridge
|
| 333 |
+
model: openvla
|
| 334 |
+
env: cross_task
|
| 335 |
+
init: bridge
|
| 336 |
+
bridge_base_model:
|
| 337 |
+
repo_id:
|
| 338 |
+
openvla: Qwen/Qwen3-VL-4B-Instruct
|
| 339 |
+
pi0: StarVLA/Qwen2.5-VL-3B-Instruct-Action
|
| 340 |
+
pi05: Qwen/Qwen3-VL-4B-Instruct
|
| 341 |
+
gr00t: Qwen/Qwen3-VL-4B-Instruct
|
| 342 |
+
local_dir:
|
| 343 |
+
openvla: playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 344 |
+
pi0: playground/Pretrained_models/Qwen2.5-VL-3B-Instruct-Action
|
| 345 |
+
pi05: playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 346 |
+
gr00t: playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 347 |
+
mode: cross_task
|
| 348 |
+
checkpoint:
|
| 349 |
+
load: auto
|
| 350 |
+
hf_repo_id: latency-sensitive-bench/openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3
|
| 351 |
+
save_best_model: false
|
| 352 |
+
save_final_model: true
|
| 353 |
+
save_pt_file: false
|
| 354 |
+
save_training_state: true
|
| 355 |
+
save_safetensors_file: true
|
| 356 |
+
local:
|
| 357 |
+
keep_last_n: 1
|
| 358 |
+
sync:
|
| 359 |
+
enabled: false
|
| 360 |
+
repo_id: latency-sensitive-bench/openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3
|
| 361 |
+
keep_last_n: 0
|
| 362 |
+
sync_every_n_checkpoints: 1
|
| 363 |
+
resume_policy: local_latest
|
| 364 |
+
run_id: openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3
|
| 365 |
+
output_dir: /lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/talha-aug26/results/Checkpoints/openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3
|
| 366 |
+
config_yaml: null
|
| 367 |
+
is_debug: false
|
| 368 |
+
version_id: '0.21'
|
archive/task-transfer/openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3/config.yaml
ADDED
|
@@ -0,0 +1,155 @@
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
checkpoint:
|
| 2 |
+
local:
|
| 3 |
+
keep_last_n: 1
|
| 4 |
+
save_best_model: false
|
| 5 |
+
save_final_model: true
|
| 6 |
+
save_pt_file: false
|
| 7 |
+
save_safetensors_file: true
|
| 8 |
+
save_training_state: true
|
| 9 |
+
sync:
|
| 10 |
+
enabled: false
|
| 11 |
+
keep_last_n: 0
|
| 12 |
+
repo_id: latency-sensitive-bench/openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3
|
| 13 |
+
datasets:
|
| 14 |
+
vla_data:
|
| 15 |
+
data_mix: cross__deadly_corridor_0_cross_train_openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3__lat0__1000ep_per_lat__bridge__defend_the_line_0_cross_train_openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3__lat0__1000ep_per_lat__bridge
|
| 16 |
+
dataset_py: lerobot_datasets
|
| 17 |
+
eval_data_mix: cross__deadly_corridor_0_cross_train_openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3__lat0__1000ep_per_lat__bridge__defend_the_line_0_cross_train_openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3__lat0__1000ep_per_lat__bridge__val
|
| 18 |
+
eval_num_workers: 8
|
| 19 |
+
include_state: false
|
| 20 |
+
latency_curriculum:
|
| 21 |
+
enabled: false
|
| 22 |
+
obs_image_size: null
|
| 23 |
+
per_device_batch_size: 4
|
| 24 |
+
persistent_workers: true
|
| 25 |
+
pin_memory: true
|
| 26 |
+
prefetch_factor: 4
|
| 27 |
+
framework:
|
| 28 |
+
action_model:
|
| 29 |
+
action_dim: 7
|
| 30 |
+
action_env_dim: 7
|
| 31 |
+
action_hidden_dim: 2560
|
| 32 |
+
action_horizon: 1
|
| 33 |
+
action_model_type: MLP
|
| 34 |
+
loss_type: discrete_ce
|
| 35 |
+
state_dim: 7
|
| 36 |
+
kv_memory:
|
| 37 |
+
enabled: false
|
| 38 |
+
packed_train: false
|
| 39 |
+
rebased_sink: true
|
| 40 |
+
rollout_len: 8
|
| 41 |
+
window: 4
|
| 42 |
+
name: QwenOFT
|
| 43 |
+
qwenvl:
|
| 44 |
+
attn_implementation: flash_attention_2
|
| 45 |
+
base_vlm: /lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/talha-aug26/playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 46 |
+
enable_gradient_checkpointing: true
|
| 47 |
+
output_dir: /lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/talha-aug26/results/Checkpoints/openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3
|
| 48 |
+
rl_games:
|
| 49 |
+
cross_task:
|
| 50 |
+
eval_tasks:
|
| 51 |
+
deadly_corridor:
|
| 52 |
+
mid_train:
|
| 53 |
+
enabled: false
|
| 54 |
+
prompt_map_path: /lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/talha-aug26/playground/Datasets/rl_games/_prompt_maps/deadly_corridor_0_cross_train_openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3__lat0__1000ep_per_lat__bridge/eval_latency_prompt_map.json
|
| 55 |
+
defend_the_line:
|
| 56 |
+
mid_train:
|
| 57 |
+
enabled: false
|
| 58 |
+
prompt_map_path: /lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/talha-aug26/playground/Datasets/rl_games/_prompt_maps/defend_the_line_0_cross_train_openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3__lat0__1000ep_per_lat__bridge/eval_latency_prompt_map.json
|
| 59 |
+
demon_attack:
|
| 60 |
+
frameskip: 4
|
| 61 |
+
image_size: 224
|
| 62 |
+
mid_train:
|
| 63 |
+
enabled: true
|
| 64 |
+
latencies: null
|
| 65 |
+
max_steps_per_episode: null
|
| 66 |
+
num_episodes: null
|
| 67 |
+
prompt_map_path: null
|
| 68 |
+
task_description: null
|
| 69 |
+
flappy:
|
| 70 |
+
frameskip: 1
|
| 71 |
+
image_size: 224
|
| 72 |
+
mid_train:
|
| 73 |
+
enabled: true
|
| 74 |
+
latencies: null
|
| 75 |
+
max_steps_per_episode: null
|
| 76 |
+
num_episodes: null
|
| 77 |
+
prompt_map_path: null
|
| 78 |
+
task_description: null
|
| 79 |
+
loss_by_task:
|
| 80 |
+
deadly_corridor: multibinary_bce
|
| 81 |
+
defend_the_line: discrete_ce
|
| 82 |
+
demon_attack: discrete_ce
|
| 83 |
+
flappy: discrete_ce
|
| 84 |
+
loss_weight_by_task:
|
| 85 |
+
deadly_corridor: 1.0
|
| 86 |
+
defend_the_line: 1.0
|
| 87 |
+
demon_attack: 1.0
|
| 88 |
+
flappy: 1.0
|
| 89 |
+
env_eval:
|
| 90 |
+
deadly:
|
| 91 |
+
action_layout: multibinary_7
|
| 92 |
+
distributed_mode: rank_sharded
|
| 93 |
+
enabled: true
|
| 94 |
+
eval_backend: eval_core
|
| 95 |
+
frameskip: 1
|
| 96 |
+
image_size: 224
|
| 97 |
+
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model_alias: openvla
|
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task: cross_task
|
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run_id: openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3
|
| 116 |
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run_root_dir: /lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/talha-aug26/results/Checkpoints
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|
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| 126 |
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|
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|
| 130 |
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wandb_entity: zihanwang-ai-northwestern-university
|
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wandb_project: starVLA_rl_games
|
archive/task-transfer/openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3/dataset_statistics.json
ADDED
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@@ -0,0 +1,127 @@
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archive/task-transfer/openvla_bridge_cross_defendtheline_zero_deadly_zero_exp3/dataset_statistics_eval.json
ADDED
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@@ -0,0 +1,127 @@
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archive/task-transfer/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1/checkpoints/steps_15000_model.safetensors
ADDED
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| 3 |
+
size 9138230516
|
archive/task-transfer/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1/config.full.yaml
ADDED
|
@@ -0,0 +1,503 @@
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|
| 1 |
+
framework:
|
| 2 |
+
name: QwenOFT
|
| 3 |
+
qwenvl:
|
| 4 |
+
base_vlm: /mnt/local/talha/playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 5 |
+
attn_implementation: flash_attention_2
|
| 6 |
+
enable_gradient_checkpointing: true
|
| 7 |
+
action_model:
|
| 8 |
+
action_model_type: MLP
|
| 9 |
+
action_dim: 7
|
| 10 |
+
state_dim: 7
|
| 11 |
+
action_hidden_dim: 2560
|
| 12 |
+
future_action_window_size: 0
|
| 13 |
+
past_action_window_size: 0
|
| 14 |
+
loss_type: discrete_ce
|
| 15 |
+
state_encoding: discretized_text
|
| 16 |
+
task_objective: null
|
| 17 |
+
action_horizon: 1
|
| 18 |
+
action_env_dim: 7
|
| 19 |
+
action_layout: bridge_cross_task_7
|
| 20 |
+
kv_memory:
|
| 21 |
+
enabled: false
|
| 22 |
+
window: 4
|
| 23 |
+
rollout_len: 8
|
| 24 |
+
packed_train: false
|
| 25 |
+
rebased_sink: true
|
| 26 |
+
datasets:
|
| 27 |
+
vla_data:
|
| 28 |
+
dataset_py: lerobot_datasets
|
| 29 |
+
include_state: false
|
| 30 |
+
data_root_dir: /mnt/local/talha/playground/Datasets/rl_games
|
| 31 |
+
data_mix: cross__asterix_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__atlantis_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__deadly_corridor_mixed_024_1000ep_cross_train__lat0_2_4__1000ep__bridge__defend_the_line_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__demon_attack_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__flappy_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge
|
| 32 |
+
eval_data_mix: cross__asterix_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__atlantis_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__deadly_corridor_mixed_024_1000ep_cross_train__lat0_2_4__1000ep__bridge__defend_the_line_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__demon_attack_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__flappy_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__val
|
| 33 |
+
custom_mixtures_path: /mnt/local/talha/playground/Datasets/rl_games/_generated_mixtures/cross_09b5517c91a12cca.json
|
| 34 |
+
action_type: discrete
|
| 35 |
+
sequential_step_sampling: true
|
| 36 |
+
eval_sequential_step_sampling: null
|
| 37 |
+
num_workers: 8
|
| 38 |
+
eval_num_workers: 8
|
| 39 |
+
prefetch_factor: 4
|
| 40 |
+
persistent_workers: true
|
| 41 |
+
pin_memory: true
|
| 42 |
+
shuffle: true
|
| 43 |
+
action_balance:
|
| 44 |
+
enabled: false
|
| 45 |
+
strategy: balanced_epoch
|
| 46 |
+
action_key: action_id
|
| 47 |
+
target_flap_fraction: 0.3
|
| 48 |
+
noop_id: 0
|
| 49 |
+
flap_id: 1
|
| 50 |
+
latency_curriculum:
|
| 51 |
+
enabled: false
|
| 52 |
+
strategy: exclusive
|
| 53 |
+
latencies: null
|
| 54 |
+
phase_steps: null
|
| 55 |
+
phase_distributions: null
|
| 56 |
+
new_latency_passes: 1.0
|
| 57 |
+
replay_passes: 0.25
|
| 58 |
+
target_total_passes: 2.0
|
| 59 |
+
final_equalization: true
|
| 60 |
+
step_budget_mode: auto
|
| 61 |
+
eval_at_phase_end: false
|
| 62 |
+
save_at_phase_end: false
|
| 63 |
+
computed_plan: null
|
| 64 |
+
per_device_batch_size: 32
|
| 65 |
+
load_all_data_for_training: true
|
| 66 |
+
num_obs_frames: 1
|
| 67 |
+
image_mode: single
|
| 68 |
+
prompt_mode: raw
|
| 69 |
+
stitch_grid:
|
| 70 |
+
- 2
|
| 71 |
+
- 2
|
| 72 |
+
obs_image_size: null
|
| 73 |
+
video_backend: torchvision_av
|
| 74 |
+
dataset:
|
| 75 |
+
source_hf: ''
|
| 76 |
+
config_name: null
|
| 77 |
+
source_subdir: null
|
| 78 |
+
converted_name: cross_task_train
|
| 79 |
+
single_source_hf: ''
|
| 80 |
+
mixed_source_hf: ''
|
| 81 |
+
single_converted_name: flappy_train
|
| 82 |
+
mixed_converted_name: flappy_mixed_latency_train
|
| 83 |
+
single_latency_filter: null
|
| 84 |
+
mixed_latency_filter: null
|
| 85 |
+
force_download: false
|
| 86 |
+
setup_force: false
|
| 87 |
+
skip_verification: false
|
| 88 |
+
target_latency_unit: observation_steps
|
| 89 |
+
verify_rows: 200
|
| 90 |
+
max_episodes: null
|
| 91 |
+
episodes_per_latency: null
|
| 92 |
+
latency_filter: null
|
| 93 |
+
debug_subset:
|
| 94 |
+
enabled: false
|
| 95 |
+
max_episodes: 5
|
| 96 |
+
suffix: debug
|
| 97 |
+
base_model:
|
| 98 |
+
repo_id: Qwen/Qwen3-VL-4B-Instruct
|
| 99 |
+
initialization:
|
| 100 |
+
checkpoint_local_dir: playground/Pretrained_models/Qwen3VL-OFT-Bridge-RT-1
|
| 101 |
+
checkpoint_hf_repo_id: StarVLA/Qwen3VL-OFT-Bridge-RT-1
|
| 102 |
+
checkpoint_filename: checkpoints/steps_5000_pytorch_model.pt
|
| 103 |
+
trainer:
|
| 104 |
+
max_train_steps: 15000
|
| 105 |
+
num_warmup_steps: 0
|
| 106 |
+
save_interval: 15000
|
| 107 |
+
eval_interval: 15000
|
| 108 |
+
eval_num_batches: 100
|
| 109 |
+
per_latency_eval_num_batches: 5
|
| 110 |
+
eval_action_classification: true
|
| 111 |
+
eval_action_classification_interval: null
|
| 112 |
+
cc_f1_tolerance: 1
|
| 113 |
+
learning_rate:
|
| 114 |
+
base: 2.0e-05
|
| 115 |
+
qwen_vl_interface: 1.0e-05
|
| 116 |
+
action_model: 0.0001
|
| 117 |
+
lr_scheduler_type: cosine_with_min_lr
|
| 118 |
+
scheduler_specific_kwargs:
|
| 119 |
+
min_lr: 1.0e-06
|
| 120 |
+
freeze_modules: ''
|
| 121 |
+
freeze_vit: false
|
| 122 |
+
freeze_tied_embedding: false
|
| 123 |
+
freeze_llm_layers: []
|
| 124 |
+
loss_scale:
|
| 125 |
+
vla: 1.0
|
| 126 |
+
vlm: 0.1
|
| 127 |
+
max_grad_norm: 1.0
|
| 128 |
+
weight_decay: 0.0
|
| 129 |
+
logging_frequency: 1
|
| 130 |
+
profile_timing:
|
| 131 |
+
enabled: false
|
| 132 |
+
log_interval: 10
|
| 133 |
+
gradient_clipping: 1.0
|
| 134 |
+
gradient_accumulation_steps: 8
|
| 135 |
+
distributed_backend: none
|
| 136 |
+
is_resume: false
|
| 137 |
+
pretrained_checkpoint: null
|
| 138 |
+
resume_step: 0
|
| 139 |
+
reload_modules: null
|
| 140 |
+
optimizer:
|
| 141 |
+
name: AdamW
|
| 142 |
+
betas:
|
| 143 |
+
- 0.9
|
| 144 |
+
- 0.95
|
| 145 |
+
eps: 1.0e-08
|
| 146 |
+
weight_decay: 1.0e-08
|
| 147 |
+
fused: true
|
| 148 |
+
save_format: pt
|
| 149 |
+
workspace_dir: /mnt/local/talha
|
| 150 |
+
run_root_dir: /mnt/local/talha/results/Checkpoints
|
| 151 |
+
seed: 42
|
| 152 |
+
wandb_entity: talha1503
|
| 153 |
+
wandb_project: starVLA_rl_games
|
| 154 |
+
auth:
|
| 155 |
+
env_file: null
|
| 156 |
+
hf_token_env: HF_TOKEN
|
| 157 |
+
wandb_api_key_env: WANDB_API_KEY
|
| 158 |
+
paths:
|
| 159 |
+
run_root_dir: /mnt/local/talha/results/Checkpoints
|
| 160 |
+
dataset_local_dir: /mnt/local/talha/playground/Datasets/rl_games
|
| 161 |
+
dataset_cache_dir: null
|
| 162 |
+
base_model_dir: /mnt/local/talha/playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 163 |
+
accelerate_config: starVLA/config/deepseeds/deepspeed_zero2.yaml
|
| 164 |
+
launch:
|
| 165 |
+
use_accelerate: true
|
| 166 |
+
gpus: null
|
| 167 |
+
num_processes: 1
|
| 168 |
+
dry_run: false
|
| 169 |
+
conda:
|
| 170 |
+
enabled: true
|
| 171 |
+
env_name: null
|
| 172 |
+
rl_games:
|
| 173 |
+
model_alias: openvla
|
| 174 |
+
task: cross_task
|
| 175 |
+
env_eval:
|
| 176 |
+
image_size: 224
|
| 177 |
+
frameskip: 1
|
| 178 |
+
deadly:
|
| 179 |
+
action_layout: multibinary_7
|
| 180 |
+
multibinary_threshold: 0.0
|
| 181 |
+
enabled: true
|
| 182 |
+
eval_backend: eval_core
|
| 183 |
+
distributed_mode: none
|
| 184 |
+
vectorized:
|
| 185 |
+
enabled: false
|
| 186 |
+
batch_size: 1
|
| 187 |
+
latency:
|
| 188 |
+
prompt_map_path: null
|
| 189 |
+
mode: mixed
|
| 190 |
+
values:
|
| 191 |
+
- 0
|
| 192 |
+
- 1
|
| 193 |
+
- 2
|
| 194 |
+
- 3
|
| 195 |
+
- 4
|
| 196 |
+
- 5
|
| 197 |
+
mid_train:
|
| 198 |
+
enabled: false
|
| 199 |
+
interval_steps: 1000
|
| 200 |
+
latencies:
|
| 201 |
+
- 0
|
| 202 |
+
- 1
|
| 203 |
+
- 2
|
| 204 |
+
- 3
|
| 205 |
+
- 4
|
| 206 |
+
- 5
|
| 207 |
+
num_episodes: 5
|
| 208 |
+
max_steps_per_episode: 3600
|
| 209 |
+
post_train:
|
| 210 |
+
enabled: true
|
| 211 |
+
latencies:
|
| 212 |
+
- 0
|
| 213 |
+
- 2
|
| 214 |
+
- 4
|
| 215 |
+
latencies_from_prompt_map: false
|
| 216 |
+
num_episodes: 5
|
| 217 |
+
max_steps_per_episode: 3600
|
| 218 |
+
asterix:
|
| 219 |
+
action_layout: factorized_6
|
| 220 |
+
cross_task:
|
| 221 |
+
train_tasks:
|
| 222 |
+
- name: flappy
|
| 223 |
+
role: A
|
| 224 |
+
train_source_hf: latency-sensitive-bench/flappy_200ep
|
| 225 |
+
prompt_source_hf: latency-sensitive-bench/flappy_200ep
|
| 226 |
+
train_source_subdir: flappy_fix_latency_0_200ep
|
| 227 |
+
prompt_source_subdir: flappy_fix_latency_0_200ep
|
| 228 |
+
converted_name: flappy_mixed_024_200ep_cross_train
|
| 229 |
+
train_latency_filter:
|
| 230 |
+
- 0
|
| 231 |
+
- 2
|
| 232 |
+
- 4
|
| 233 |
+
eval_latency_filter:
|
| 234 |
+
- 0
|
| 235 |
+
- 2
|
| 236 |
+
- 4
|
| 237 |
+
episodes_per_latency: null
|
| 238 |
+
max_episodes: 200
|
| 239 |
+
weight: 1.0
|
| 240 |
+
- name: demon_attack
|
| 241 |
+
role: B
|
| 242 |
+
train_source_hf: latency-sensitive-bench/demon_attack_200ep
|
| 243 |
+
prompt_source_hf: latency-sensitive-bench/demon_attack_200ep
|
| 244 |
+
train_source_subdir: demon_attack_fix_latency_0_200ep
|
| 245 |
+
prompt_source_subdir: demon_attack_fix_latency_0_200ep
|
| 246 |
+
converted_name: demon_attack_mixed_024_200ep_cross_train
|
| 247 |
+
train_latency_filter:
|
| 248 |
+
- 0
|
| 249 |
+
- 2
|
| 250 |
+
- 4
|
| 251 |
+
eval_latency_filter:
|
| 252 |
+
- 0
|
| 253 |
+
- 2
|
| 254 |
+
- 4
|
| 255 |
+
episodes_per_latency: null
|
| 256 |
+
max_episodes: 200
|
| 257 |
+
weight: 1.0
|
| 258 |
+
- name: deadly_corridor
|
| 259 |
+
role: C
|
| 260 |
+
train_source_hf: latency-sensitive-bench/deadly_1000ep
|
| 261 |
+
prompt_source_hf: latency-sensitive-bench/deadly_1000ep
|
| 262 |
+
train_source_subdir: deadly_corridor_fix_latency_0_1000ep
|
| 263 |
+
prompt_source_subdir: deadly_corridor_fix_latency_0_1000ep
|
| 264 |
+
converted_name: deadly_corridor_mixed_024_1000ep_cross_train
|
| 265 |
+
train_latency_filter:
|
| 266 |
+
- 0
|
| 267 |
+
- 2
|
| 268 |
+
- 4
|
| 269 |
+
eval_latency_filter:
|
| 270 |
+
- 0
|
| 271 |
+
- 2
|
| 272 |
+
- 4
|
| 273 |
+
episodes_per_latency: null
|
| 274 |
+
max_episodes: 1000
|
| 275 |
+
action_layout: multibinary_7
|
| 276 |
+
weight: 1.0
|
| 277 |
+
- name: asterix
|
| 278 |
+
role: D
|
| 279 |
+
train_source_hf: latency-sensitive-bench/asterix_200ep
|
| 280 |
+
prompt_source_hf: latency-sensitive-bench/asterix_200ep
|
| 281 |
+
train_source_subdir: asterix_fixed_latency_0_200ep_7k2steps
|
| 282 |
+
prompt_source_subdir: asterix_fixed_latency_0_200ep_7k2steps
|
| 283 |
+
converted_name: asterix_mixed_024_200ep_cross_train
|
| 284 |
+
train_latency_filter:
|
| 285 |
+
- 0
|
| 286 |
+
- 2
|
| 287 |
+
- 4
|
| 288 |
+
eval_latency_filter:
|
| 289 |
+
- 0
|
| 290 |
+
- 2
|
| 291 |
+
- 4
|
| 292 |
+
episodes_per_latency: null
|
| 293 |
+
max_episodes: 200
|
| 294 |
+
action_layout: factorized_6
|
| 295 |
+
weight: 1.0
|
| 296 |
+
- name: atlantis
|
| 297 |
+
role: E
|
| 298 |
+
train_source_hf: latency-sensitive-bench/atlantis_200ep
|
| 299 |
+
prompt_source_hf: latency-sensitive-bench/atlantis_200ep
|
| 300 |
+
train_source_subdir: atlantis_fixed_latency_0_200ep_7k2steps
|
| 301 |
+
prompt_source_subdir: atlantis_fixed_latency_0_200ep_7k2steps
|
| 302 |
+
converted_name: atlantis_mixed_024_200ep_cross_train
|
| 303 |
+
train_latency_filter:
|
| 304 |
+
- 0
|
| 305 |
+
- 2
|
| 306 |
+
- 4
|
| 307 |
+
eval_latency_filter:
|
| 308 |
+
- 0
|
| 309 |
+
- 2
|
| 310 |
+
- 4
|
| 311 |
+
episodes_per_latency: null
|
| 312 |
+
max_episodes: 200
|
| 313 |
+
weight: 1.0
|
| 314 |
+
- name: defend_the_line
|
| 315 |
+
role: F
|
| 316 |
+
train_source_hf: latency-sensitive-bench/defend_the_line_200ep
|
| 317 |
+
prompt_source_hf: latency-sensitive-bench/defend_the_line_200ep
|
| 318 |
+
train_source_subdir: defend_the_line_fixed_latency_0_200ep_7k2steps
|
| 319 |
+
prompt_source_subdir: defend_the_line_fixed_latency_0_200ep_7k2steps
|
| 320 |
+
converted_name: defend_the_line_mixed_024_200ep_cross_train
|
| 321 |
+
train_latency_filter:
|
| 322 |
+
- 0
|
| 323 |
+
- 2
|
| 324 |
+
- 4
|
| 325 |
+
eval_latency_filter:
|
| 326 |
+
- 0
|
| 327 |
+
- 2
|
| 328 |
+
- 4
|
| 329 |
+
episodes_per_latency: null
|
| 330 |
+
max_episodes: 200
|
| 331 |
+
weight: 1.0
|
| 332 |
+
loss_by_task:
|
| 333 |
+
flappy: discrete_ce
|
| 334 |
+
demon_attack: discrete_ce
|
| 335 |
+
defend_the_line: discrete_ce
|
| 336 |
+
deadly_corridor: multibinary_bce
|
| 337 |
+
asterix: asterix_factorized_ce
|
| 338 |
+
atlantis: discrete_ce
|
| 339 |
+
loss_weight_by_task:
|
| 340 |
+
flappy: 1.0
|
| 341 |
+
demon_attack: 1.0
|
| 342 |
+
defend_the_line: 1.0
|
| 343 |
+
deadly_corridor: 1.0
|
| 344 |
+
asterix: 1.0
|
| 345 |
+
atlantis: 1.0
|
| 346 |
+
eval_tasks:
|
| 347 |
+
flappy:
|
| 348 |
+
prompt_map_path: /mnt/local/talha/playground/Datasets/rl_games/_prompt_maps/flappy_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge/eval_latency_prompt_map.json
|
| 349 |
+
frameskip: 1
|
| 350 |
+
image_size: 224
|
| 351 |
+
task_description: 'You are playing Flappy Bird. Pass through the pipe gaps
|
| 352 |
+
and stay alive. Choose the action: NOOP, FLAP.'
|
| 353 |
+
mid_train:
|
| 354 |
+
enabled: false
|
| 355 |
+
latencies:
|
| 356 |
+
- 0
|
| 357 |
+
- 2
|
| 358 |
+
- 4
|
| 359 |
+
num_episodes: 5
|
| 360 |
+
max_steps_per_episode: 3600
|
| 361 |
+
post_train:
|
| 362 |
+
enabled: true
|
| 363 |
+
latencies:
|
| 364 |
+
- 0
|
| 365 |
+
- 2
|
| 366 |
+
- 4
|
| 367 |
+
num_episodes: 20
|
| 368 |
+
max_steps_per_episode: 3600
|
| 369 |
+
demon_attack:
|
| 370 |
+
prompt_map_path: /mnt/local/talha/playground/Datasets/rl_games/_prompt_maps/demon_attack_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge/eval_latency_prompt_map.json
|
| 371 |
+
frameskip: 4
|
| 372 |
+
image_size: 224
|
| 373 |
+
task_description: 'You are playing Demon Attack from a single game image.
|
| 374 |
+
Choose exactly one action from: NOOP, FIRE, RIGHT, LEFT, RIGHTFIRE, LEFTFIRE.'
|
| 375 |
+
mid_train:
|
| 376 |
+
enabled: false
|
| 377 |
+
latencies:
|
| 378 |
+
- 0
|
| 379 |
+
- 2
|
| 380 |
+
- 4
|
| 381 |
+
num_episodes: 5
|
| 382 |
+
max_steps_per_episode: 3600
|
| 383 |
+
post_train:
|
| 384 |
+
enabled: true
|
| 385 |
+
latencies:
|
| 386 |
+
- 0
|
| 387 |
+
- 2
|
| 388 |
+
- 4
|
| 389 |
+
num_episodes: 20
|
| 390 |
+
max_steps_per_episode: 3600
|
| 391 |
+
defend_the_line:
|
| 392 |
+
prompt_map_path: null
|
| 393 |
+
frameskip: 4
|
| 394 |
+
image_size: 224
|
| 395 |
+
task_description: null
|
| 396 |
+
mid_train:
|
| 397 |
+
enabled: false
|
| 398 |
+
latencies: null
|
| 399 |
+
num_episodes: null
|
| 400 |
+
max_steps_per_episode: null
|
| 401 |
+
post_train:
|
| 402 |
+
enabled: false
|
| 403 |
+
latencies: null
|
| 404 |
+
num_episodes: null
|
| 405 |
+
max_steps_per_episode: null
|
| 406 |
+
deadly_corridor:
|
| 407 |
+
prompt_map_path: /mnt/local/talha/playground/Datasets/rl_games/_prompt_maps/deadly_corridor_mixed_024_1000ep_cross_train__lat0_2_4__1000ep__bridge/eval_latency_prompt_map.json
|
| 408 |
+
frameskip: 4
|
| 409 |
+
image_size: 224
|
| 410 |
+
task_description: You are playing Deadly Corridor in VizDoom. Choose actions
|
| 411 |
+
from MOVE_FORWARD, MOVE_BACKWARD, MOVE_LEFT, MOVE_RIGHT, TURN_LEFT, TURN_RIGHT,
|
| 412 |
+
ATTACK.
|
| 413 |
+
mid_train:
|
| 414 |
+
enabled: false
|
| 415 |
+
latencies:
|
| 416 |
+
- 0
|
| 417 |
+
- 2
|
| 418 |
+
- 4
|
| 419 |
+
num_episodes: 5
|
| 420 |
+
max_steps_per_episode: 3600
|
| 421 |
+
post_train:
|
| 422 |
+
enabled: true
|
| 423 |
+
latencies:
|
| 424 |
+
- 0
|
| 425 |
+
- 2
|
| 426 |
+
- 4
|
| 427 |
+
num_episodes: 20
|
| 428 |
+
max_steps_per_episode: 3600
|
| 429 |
+
asterix:
|
| 430 |
+
prompt_map_path: null
|
| 431 |
+
frameskip: 4
|
| 432 |
+
image_size: 224
|
| 433 |
+
task_description: null
|
| 434 |
+
mid_train:
|
| 435 |
+
enabled: false
|
| 436 |
+
latencies: null
|
| 437 |
+
num_episodes: null
|
| 438 |
+
max_steps_per_episode: null
|
| 439 |
+
post_train:
|
| 440 |
+
enabled: false
|
| 441 |
+
latencies: null
|
| 442 |
+
num_episodes: null
|
| 443 |
+
max_steps_per_episode: null
|
| 444 |
+
atlantis:
|
| 445 |
+
prompt_map_path: null
|
| 446 |
+
frameskip: 4
|
| 447 |
+
image_size: 224
|
| 448 |
+
task_description: null
|
| 449 |
+
mid_train:
|
| 450 |
+
enabled: false
|
| 451 |
+
latencies: null
|
| 452 |
+
num_episodes: null
|
| 453 |
+
max_steps_per_episode: null
|
| 454 |
+
post_train:
|
| 455 |
+
enabled: false
|
| 456 |
+
latencies: null
|
| 457 |
+
num_episodes: null
|
| 458 |
+
max_steps_per_episode: null
|
| 459 |
+
initialization_mode: bridge
|
| 460 |
+
action_carrier: bridge
|
| 461 |
+
model: openvla
|
| 462 |
+
env: cross_task
|
| 463 |
+
init: bridge
|
| 464 |
+
bridge_base_model:
|
| 465 |
+
repo_id:
|
| 466 |
+
openvla: Qwen/Qwen3-VL-4B-Instruct
|
| 467 |
+
pi0: StarVLA/Qwen2.5-VL-3B-Instruct-Action
|
| 468 |
+
pi05: Qwen/Qwen3-VL-4B-Instruct
|
| 469 |
+
gr00t: Qwen/Qwen3-VL-4B-Instruct
|
| 470 |
+
local_dir:
|
| 471 |
+
openvla: playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 472 |
+
pi0: playground/Pretrained_models/Qwen2.5-VL-3B-Instruct-Action
|
| 473 |
+
pi05: playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 474 |
+
gr00t: playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 475 |
+
mode: cross_task
|
| 476 |
+
checkpoint:
|
| 477 |
+
load: auto
|
| 478 |
+
hf_repo_id: latency-sensitive-bench/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1
|
| 479 |
+
save_best_model: false
|
| 480 |
+
save_final_model: true
|
| 481 |
+
save_pt_file: false
|
| 482 |
+
save_training_state: true
|
| 483 |
+
save_safetensors_file: false
|
| 484 |
+
local:
|
| 485 |
+
keep_last_n: 1
|
| 486 |
+
sync:
|
| 487 |
+
enabled: true
|
| 488 |
+
repo_id: latency-sensitive-bench/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1
|
| 489 |
+
keep_last_n: 0
|
| 490 |
+
sync_every_n_checkpoints: 1
|
| 491 |
+
resume_policy: local_latest
|
| 492 |
+
run_id: openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1
|
| 493 |
+
output_dir: /mnt/local/talha/results/Checkpoints/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1
|
| 494 |
+
config_yaml: null
|
| 495 |
+
is_debug: false
|
| 496 |
+
version_id: '0.21'
|
| 497 |
+
wandb_tags:
|
| 498 |
+
- final_vla_profiling_training
|
| 499 |
+
- demon_attack
|
| 500 |
+
- openvla
|
| 501 |
+
- rtx3090_profile
|
| 502 |
+
training_latency_condition: rtx3090_profile
|
| 503 |
+
wandb_group: final_vla_profiling_training
|
archive/task-transfer/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1/config.yaml
ADDED
|
@@ -0,0 +1,121 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
checkpoint:
|
| 2 |
+
local:
|
| 3 |
+
keep_last_n: 1
|
| 4 |
+
save_best_model: false
|
| 5 |
+
save_final_model: true
|
| 6 |
+
save_pt_file: false
|
| 7 |
+
save_safetensors_file: false
|
| 8 |
+
save_training_state: true
|
| 9 |
+
sync:
|
| 10 |
+
enabled: true
|
| 11 |
+
keep_last_n: 0
|
| 12 |
+
repo_id: latency-sensitive-bench/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1
|
| 13 |
+
datasets:
|
| 14 |
+
vla_data:
|
| 15 |
+
data_mix: cross__asterix_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__atlantis_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__deadly_corridor_mixed_024_1000ep_cross_train__lat0_2_4__1000ep__bridge__defend_the_line_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__demon_attack_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__flappy_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge
|
| 16 |
+
dataset_py: lerobot_datasets
|
| 17 |
+
eval_data_mix: cross__asterix_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__atlantis_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__deadly_corridor_mixed_024_1000ep_cross_train__lat0_2_4__1000ep__bridge__defend_the_line_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__demon_attack_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__flappy_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__val
|
| 18 |
+
eval_num_workers: 8
|
| 19 |
+
latency_curriculum:
|
| 20 |
+
enabled: false
|
| 21 |
+
obs_image_size: null
|
| 22 |
+
per_device_batch_size: 32
|
| 23 |
+
persistent_workers: true
|
| 24 |
+
pin_memory: true
|
| 25 |
+
prefetch_factor: 4
|
| 26 |
+
framework:
|
| 27 |
+
action_model:
|
| 28 |
+
action_dim: 7
|
| 29 |
+
action_env_dim: 7
|
| 30 |
+
action_hidden_dim: 2560
|
| 31 |
+
action_horizon: 1
|
| 32 |
+
action_model_type: MLP
|
| 33 |
+
loss_type: discrete_ce
|
| 34 |
+
state_encoding: discretized_text
|
| 35 |
+
task_objective: null
|
| 36 |
+
kv_memory:
|
| 37 |
+
enabled: false
|
| 38 |
+
packed_train: false
|
| 39 |
+
rebased_sink: true
|
| 40 |
+
rollout_len: 8
|
| 41 |
+
window: 4
|
| 42 |
+
name: QwenOFT
|
| 43 |
+
qwenvl:
|
| 44 |
+
attn_implementation: flash_attention_2
|
| 45 |
+
base_vlm: /mnt/local/talha/playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 46 |
+
enable_gradient_checkpointing: true
|
| 47 |
+
output_dir: /mnt/local/talha/results/Checkpoints/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1
|
| 48 |
+
rl_games:
|
| 49 |
+
cross_task:
|
| 50 |
+
loss_by_task:
|
| 51 |
+
asterix: asterix_factorized_ce
|
| 52 |
+
atlantis: discrete_ce
|
| 53 |
+
deadly_corridor: multibinary_bce
|
| 54 |
+
defend_the_line: discrete_ce
|
| 55 |
+
demon_attack: discrete_ce
|
| 56 |
+
flappy: discrete_ce
|
| 57 |
+
loss_weight_by_task:
|
| 58 |
+
asterix: 1.0
|
| 59 |
+
atlantis: 1.0
|
| 60 |
+
deadly_corridor: 1.0
|
| 61 |
+
defend_the_line: 1.0
|
| 62 |
+
demon_attack: 1.0
|
| 63 |
+
flappy: 1.0
|
| 64 |
+
env_eval:
|
| 65 |
+
deadly:
|
| 66 |
+
action_layout: multibinary_7
|
| 67 |
+
enabled: true
|
| 68 |
+
eval_backend: eval_core
|
| 69 |
+
mid_train:
|
| 70 |
+
enabled: false
|
| 71 |
+
interval_steps: 1000
|
| 72 |
+
task: cross_task
|
| 73 |
+
run_id: openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1
|
| 74 |
+
run_root_dir: /mnt/local/talha/results/Checkpoints
|
| 75 |
+
seed: 42
|
| 76 |
+
trainer:
|
| 77 |
+
cc_f1_tolerance: 1
|
| 78 |
+
distributed_backend: none
|
| 79 |
+
eval_action_classification: true
|
| 80 |
+
eval_action_classification_interval: null
|
| 81 |
+
eval_interval: 15000
|
| 82 |
+
eval_num_batches: 100
|
| 83 |
+
freeze_llm_layers: []
|
| 84 |
+
freeze_modules: ''
|
| 85 |
+
freeze_tied_embedding: false
|
| 86 |
+
freeze_vit: false
|
| 87 |
+
gradient_accumulation_steps: 8
|
| 88 |
+
gradient_clipping: 1.0
|
| 89 |
+
is_resume: false
|
| 90 |
+
learning_rate:
|
| 91 |
+
action_model: 0.0001
|
| 92 |
+
base: 2.0e-05
|
| 93 |
+
qwen_vl_interface: 1.0e-05
|
| 94 |
+
logging_frequency: 1
|
| 95 |
+
lr_scheduler_type: cosine_with_min_lr
|
| 96 |
+
max_train_steps: 15000
|
| 97 |
+
num_warmup_steps: 0
|
| 98 |
+
optimizer:
|
| 99 |
+
betas:
|
| 100 |
+
- 0.9
|
| 101 |
+
- 0.95
|
| 102 |
+
eps: 1.0e-08
|
| 103 |
+
fused: true
|
| 104 |
+
weight_decay: 1.0e-08
|
| 105 |
+
per_latency_eval_num_batches: 5
|
| 106 |
+
pretrained_checkpoint: null
|
| 107 |
+
profile_timing:
|
| 108 |
+
enabled: false
|
| 109 |
+
reload_modules: null
|
| 110 |
+
save_interval: 15000
|
| 111 |
+
scheduler_specific_kwargs:
|
| 112 |
+
min_lr: 1.0e-06
|
| 113 |
+
training_latency_condition: rtx3090_profile
|
| 114 |
+
wandb_entity: talha1503
|
| 115 |
+
wandb_group: final_vla_profiling_training
|
| 116 |
+
wandb_project: starVLA_rl_games
|
| 117 |
+
wandb_tags:
|
| 118 |
+
- final_vla_profiling_training
|
| 119 |
+
- demon_attack
|
| 120 |
+
- openvla
|
| 121 |
+
- rtx3090_profile
|
archive/task-transfer/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1/dataset_statistics.json
ADDED
|
@@ -0,0 +1,127 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"new_embodiment": {
|
| 3 |
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|
| 4 |
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| 5 |
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],
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| 13 |
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"std": [
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| 14 |
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| 15 |
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],
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| 23 |
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],
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| 32 |
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| 59 |
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| 60 |
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| 61 |
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|
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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"state": {
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| 69 |
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| 70 |
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],
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"std": [
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},
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"num_transitions": 1472485,
|
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"num_trajectories": 2000
|
| 126 |
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}
|
| 127 |
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}
|
archive/task-transfer/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1/dataset_statistics_eval.json
ADDED
|
@@ -0,0 +1,127 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
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|
|
|
|
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|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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|
| 3 |
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| 4 |
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| 22 |
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"max": [
|
| 23 |
+
1.0,
|
| 24 |
+
1.0,
|
| 25 |
+
1.0,
|
| 26 |
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1.0,
|
| 27 |
+
1.0,
|
| 28 |
+
1.0,
|
| 29 |
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1.0
|
| 30 |
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],
|
| 31 |
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"min": [
|
| 32 |
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0.0,
|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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0.0,
|
| 38 |
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|
| 39 |
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|
| 40 |
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"q01": [
|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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0.0,
|
| 46 |
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0.0,
|
| 47 |
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|
| 48 |
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|
| 49 |
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"q99": [
|
| 50 |
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1.0,
|
| 51 |
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1.0,
|
| 52 |
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1.0,
|
| 53 |
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1.0,
|
| 54 |
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1.0,
|
| 55 |
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1.0,
|
| 56 |
+
1.0
|
| 57 |
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],
|
| 58 |
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"mask": [
|
| 59 |
+
true,
|
| 60 |
+
true,
|
| 61 |
+
true,
|
| 62 |
+
true,
|
| 63 |
+
true,
|
| 64 |
+
true,
|
| 65 |
+
true
|
| 66 |
+
]
|
| 67 |
+
},
|
| 68 |
+
"state": {
|
| 69 |
+
"mean": [
|
| 70 |
+
0.0,
|
| 71 |
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0.0,
|
| 72 |
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0.0,
|
| 73 |
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0.0,
|
| 74 |
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0.0,
|
| 75 |
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0.0,
|
| 76 |
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0.0
|
| 77 |
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],
|
| 78 |
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"std": [
|
| 79 |
+
0.0,
|
| 80 |
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0.0,
|
| 81 |
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0.0,
|
| 82 |
+
0.0,
|
| 83 |
+
0.0,
|
| 84 |
+
0.0,
|
| 85 |
+
0.0
|
| 86 |
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],
|
| 87 |
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"max": [
|
| 88 |
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|
| 89 |
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0.0,
|
| 90 |
+
0.0,
|
| 91 |
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0.0,
|
| 92 |
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0.0,
|
| 93 |
+
0.0,
|
| 94 |
+
0.0
|
| 95 |
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],
|
| 96 |
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"min": [
|
| 97 |
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0.0,
|
| 98 |
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|
| 99 |
+
0.0,
|
| 100 |
+
0.0,
|
| 101 |
+
0.0,
|
| 102 |
+
0.0,
|
| 103 |
+
0.0
|
| 104 |
+
],
|
| 105 |
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"q01": [
|
| 106 |
+
0.0,
|
| 107 |
+
0.0,
|
| 108 |
+
0.0,
|
| 109 |
+
0.0,
|
| 110 |
+
0.0,
|
| 111 |
+
0.0,
|
| 112 |
+
0.0
|
| 113 |
+
],
|
| 114 |
+
"q99": [
|
| 115 |
+
0.0,
|
| 116 |
+
0.0,
|
| 117 |
+
0.0,
|
| 118 |
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0.0,
|
| 119 |
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|
| 120 |
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0.0,
|
| 121 |
+
0.0
|
| 122 |
+
]
|
| 123 |
+
},
|
| 124 |
+
"num_transitions": 428869,
|
| 125 |
+
"num_trajectories": 438
|
| 126 |
+
}
|
| 127 |
+
}
|
archive/task-transfer/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1/hydra/.hydra/config.yaml
ADDED
|
@@ -0,0 +1,500 @@
|
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|
|
|
|
|
|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
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|
|
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|
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|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
| 1 |
+
framework:
|
| 2 |
+
qwenvl:
|
| 3 |
+
base_vlm: /mnt/local/talha/playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 4 |
+
attn_implementation: flash_attention_2
|
| 5 |
+
enable_gradient_checkpointing: true
|
| 6 |
+
action_model:
|
| 7 |
+
state_dim: 7
|
| 8 |
+
loss_type: discrete_ce
|
| 9 |
+
action_horizon: 1
|
| 10 |
+
future_action_window_size: 0
|
| 11 |
+
past_action_window_size: 0
|
| 12 |
+
action_dim: 7
|
| 13 |
+
action_env_dim: 7
|
| 14 |
+
state_encoding: discretized_text
|
| 15 |
+
action_layout: bridge_cross_task_7
|
| 16 |
+
kv_memory:
|
| 17 |
+
enabled: false
|
| 18 |
+
window: 4
|
| 19 |
+
rollout_len: 8
|
| 20 |
+
packed_train: false
|
| 21 |
+
rebased_sink: true
|
| 22 |
+
name: QwenOFT
|
| 23 |
+
datasets:
|
| 24 |
+
vla_data:
|
| 25 |
+
dataset_py: lerobot_datasets
|
| 26 |
+
include_state: false
|
| 27 |
+
data_root_dir: /mnt/local/talha/playground/Datasets/rl_games
|
| 28 |
+
data_mix: cross__asterix_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__atlantis_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__deadly_corridor_mixed_024_1000ep_cross_train__lat0_2_4__1000ep__bridge__defend_the_line_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__demon_attack_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__flappy_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge
|
| 29 |
+
eval_data_mix: cross__asterix_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__atlantis_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__deadly_corridor_mixed_024_1000ep_cross_train__lat0_2_4__1000ep__bridge__defend_the_line_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__demon_attack_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__flappy_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__val
|
| 30 |
+
custom_mixtures_path: /mnt/local/talha/playground/Datasets/rl_games/_generated_mixtures/cross_09b5517c91a12cca.json
|
| 31 |
+
action_type: discrete
|
| 32 |
+
sequential_step_sampling: true
|
| 33 |
+
eval_sequential_step_sampling: null
|
| 34 |
+
num_workers: 8
|
| 35 |
+
eval_num_workers: 8
|
| 36 |
+
prefetch_factor: 4
|
| 37 |
+
persistent_workers: true
|
| 38 |
+
pin_memory: true
|
| 39 |
+
shuffle: true
|
| 40 |
+
action_balance:
|
| 41 |
+
enabled: false
|
| 42 |
+
strategy: balanced_epoch
|
| 43 |
+
action_key: action_id
|
| 44 |
+
target_flap_fraction: 0.3
|
| 45 |
+
noop_id: 0
|
| 46 |
+
flap_id: 1
|
| 47 |
+
latency_curriculum:
|
| 48 |
+
enabled: false
|
| 49 |
+
strategy: exclusive
|
| 50 |
+
latencies: null
|
| 51 |
+
phase_steps: null
|
| 52 |
+
phase_distributions: null
|
| 53 |
+
new_latency_passes: 1.0
|
| 54 |
+
replay_passes: 0.25
|
| 55 |
+
target_total_passes: 2.0
|
| 56 |
+
final_equalization: true
|
| 57 |
+
step_budget_mode: auto
|
| 58 |
+
eval_at_phase_end: false
|
| 59 |
+
save_at_phase_end: false
|
| 60 |
+
computed_plan: null
|
| 61 |
+
per_device_batch_size: 32
|
| 62 |
+
load_all_data_for_training: true
|
| 63 |
+
num_obs_frames: 1
|
| 64 |
+
image_mode: single
|
| 65 |
+
prompt_mode: raw
|
| 66 |
+
stitch_grid:
|
| 67 |
+
- 2
|
| 68 |
+
- 2
|
| 69 |
+
obs_image_size: null
|
| 70 |
+
video_backend: torchvision_av
|
| 71 |
+
dataset:
|
| 72 |
+
source_hf: ''
|
| 73 |
+
config_name: null
|
| 74 |
+
source_subdir: null
|
| 75 |
+
converted_name: cross_task_train
|
| 76 |
+
single_source_hf: ''
|
| 77 |
+
mixed_source_hf: ''
|
| 78 |
+
single_converted_name: flappy_train
|
| 79 |
+
mixed_converted_name: flappy_mixed_latency_train
|
| 80 |
+
single_latency_filter: null
|
| 81 |
+
mixed_latency_filter: null
|
| 82 |
+
force_download: false
|
| 83 |
+
setup_force: false
|
| 84 |
+
skip_verification: false
|
| 85 |
+
target_latency_unit: observation_steps
|
| 86 |
+
verify_rows: 200
|
| 87 |
+
max_episodes: null
|
| 88 |
+
episodes_per_latency: null
|
| 89 |
+
latency_filter: null
|
| 90 |
+
debug_subset:
|
| 91 |
+
enabled: false
|
| 92 |
+
max_episodes: 5
|
| 93 |
+
suffix: debug
|
| 94 |
+
base_model:
|
| 95 |
+
repo_id: Qwen/Qwen3-VL-4B-Instruct
|
| 96 |
+
initialization:
|
| 97 |
+
checkpoint_local_dir: playground/Pretrained_models/Qwen3VL-OFT-Bridge-RT-1
|
| 98 |
+
checkpoint_hf_repo_id: StarVLA/Qwen3VL-OFT-Bridge-RT-1
|
| 99 |
+
checkpoint_filename: checkpoints/steps_5000_pytorch_model.pt
|
| 100 |
+
trainer:
|
| 101 |
+
max_train_steps: 15000
|
| 102 |
+
num_warmup_steps: 0
|
| 103 |
+
save_interval: 15000
|
| 104 |
+
eval_interval: 15000
|
| 105 |
+
eval_num_batches: 100
|
| 106 |
+
per_latency_eval_num_batches: 5
|
| 107 |
+
eval_action_classification: true
|
| 108 |
+
eval_action_classification_interval: null
|
| 109 |
+
cc_f1_tolerance: 1
|
| 110 |
+
learning_rate:
|
| 111 |
+
base: 2.0e-05
|
| 112 |
+
qwen_vl_interface: 1.0e-05
|
| 113 |
+
action_model: 0.0001
|
| 114 |
+
lr_scheduler_type: cosine_with_min_lr
|
| 115 |
+
scheduler_specific_kwargs:
|
| 116 |
+
min_lr: 1.0e-06
|
| 117 |
+
freeze_modules: ''
|
| 118 |
+
freeze_vit: false
|
| 119 |
+
freeze_tied_embedding: false
|
| 120 |
+
freeze_llm_layers: []
|
| 121 |
+
loss_scale:
|
| 122 |
+
vla: 1.0
|
| 123 |
+
vlm: 0.1
|
| 124 |
+
max_grad_norm: 1.0
|
| 125 |
+
weight_decay: 0.0
|
| 126 |
+
logging_frequency: 1
|
| 127 |
+
profile_timing:
|
| 128 |
+
enabled: false
|
| 129 |
+
log_interval: 10
|
| 130 |
+
gradient_clipping: 1.0
|
| 131 |
+
gradient_accumulation_steps: 8
|
| 132 |
+
distributed_backend: none
|
| 133 |
+
is_resume: false
|
| 134 |
+
pretrained_checkpoint: /mnt/local/talha/results/Checkpoints/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1/checkpoints/_initialization/StarVLA_Qwen3VL-OFT-Bridge-RT-1/checkpoints/steps_5000_pytorch_model.pt
|
| 135 |
+
resume_step: 0
|
| 136 |
+
reload_modules: null
|
| 137 |
+
optimizer:
|
| 138 |
+
name: AdamW
|
| 139 |
+
betas:
|
| 140 |
+
- 0.9
|
| 141 |
+
- 0.95
|
| 142 |
+
eps: 1.0e-08
|
| 143 |
+
weight_decay: 1.0e-08
|
| 144 |
+
fused: true
|
| 145 |
+
save_format: pt
|
| 146 |
+
workspace_dir: /mnt/local/talha
|
| 147 |
+
run_root_dir: /mnt/local/talha/results/Checkpoints
|
| 148 |
+
seed: 42
|
| 149 |
+
wandb_entity: ${oc.env:WANDB_ENTITY}
|
| 150 |
+
wandb_project: ${oc.env:WANDB_PROJECT,starVLA_rl_games}
|
| 151 |
+
auth:
|
| 152 |
+
env_file: null
|
| 153 |
+
hf_token_env: HF_TOKEN
|
| 154 |
+
wandb_api_key_env: WANDB_API_KEY
|
| 155 |
+
paths:
|
| 156 |
+
run_root_dir: /mnt/local/talha/results/Checkpoints
|
| 157 |
+
dataset_local_dir: /mnt/local/talha/playground/Datasets/rl_games
|
| 158 |
+
dataset_cache_dir: null
|
| 159 |
+
base_model_dir: /mnt/local/talha/playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 160 |
+
accelerate_config: starVLA/config/deepseeds/deepspeed_zero2.yaml
|
| 161 |
+
launch:
|
| 162 |
+
use_accelerate: true
|
| 163 |
+
gpus: null
|
| 164 |
+
num_processes: 1
|
| 165 |
+
dry_run: false
|
| 166 |
+
conda:
|
| 167 |
+
enabled: true
|
| 168 |
+
env_name: null
|
| 169 |
+
rl_games:
|
| 170 |
+
model_alias: openvla
|
| 171 |
+
task: cross_task
|
| 172 |
+
env_eval:
|
| 173 |
+
image_size: 224
|
| 174 |
+
frameskip: 1
|
| 175 |
+
deadly:
|
| 176 |
+
action_layout: multibinary_7
|
| 177 |
+
multibinary_threshold: 0.0
|
| 178 |
+
enabled: true
|
| 179 |
+
eval_backend: eval_core
|
| 180 |
+
distributed_mode: none
|
| 181 |
+
vectorized:
|
| 182 |
+
enabled: false
|
| 183 |
+
batch_size: 1
|
| 184 |
+
latency:
|
| 185 |
+
prompt_map_path: null
|
| 186 |
+
mode: mixed
|
| 187 |
+
values:
|
| 188 |
+
- 0
|
| 189 |
+
- 1
|
| 190 |
+
- 2
|
| 191 |
+
- 3
|
| 192 |
+
- 4
|
| 193 |
+
- 5
|
| 194 |
+
mid_train:
|
| 195 |
+
enabled: false
|
| 196 |
+
interval_steps: 1000
|
| 197 |
+
latencies:
|
| 198 |
+
- 0
|
| 199 |
+
- 1
|
| 200 |
+
- 2
|
| 201 |
+
- 3
|
| 202 |
+
- 4
|
| 203 |
+
- 5
|
| 204 |
+
num_episodes: 5
|
| 205 |
+
max_steps_per_episode: 3600
|
| 206 |
+
post_train:
|
| 207 |
+
enabled: true
|
| 208 |
+
latencies:
|
| 209 |
+
- 0
|
| 210 |
+
- 2
|
| 211 |
+
- 4
|
| 212 |
+
latencies_from_prompt_map: false
|
| 213 |
+
num_episodes: 5
|
| 214 |
+
max_steps_per_episode: 3600
|
| 215 |
+
asterix:
|
| 216 |
+
action_layout: factorized_6
|
| 217 |
+
cross_task:
|
| 218 |
+
train_tasks:
|
| 219 |
+
- name: flappy
|
| 220 |
+
role: A
|
| 221 |
+
train_source_hf: latency-sensitive-bench/flappy_200ep
|
| 222 |
+
prompt_source_hf: latency-sensitive-bench/flappy_200ep
|
| 223 |
+
train_source_subdir: flappy_fix_latency_0_200ep
|
| 224 |
+
prompt_source_subdir: flappy_fix_latency_0_200ep
|
| 225 |
+
converted_name: flappy_mixed_024_200ep_cross_train
|
| 226 |
+
train_latency_filter:
|
| 227 |
+
- 0
|
| 228 |
+
- 2
|
| 229 |
+
- 4
|
| 230 |
+
eval_latency_filter:
|
| 231 |
+
- 0
|
| 232 |
+
- 2
|
| 233 |
+
- 4
|
| 234 |
+
episodes_per_latency: null
|
| 235 |
+
max_episodes: 200
|
| 236 |
+
weight: 1.0
|
| 237 |
+
- name: demon_attack
|
| 238 |
+
role: B
|
| 239 |
+
train_source_hf: latency-sensitive-bench/demon_attack_200ep
|
| 240 |
+
prompt_source_hf: latency-sensitive-bench/demon_attack_200ep
|
| 241 |
+
train_source_subdir: demon_attack_fix_latency_0_200ep
|
| 242 |
+
prompt_source_subdir: demon_attack_fix_latency_0_200ep
|
| 243 |
+
converted_name: demon_attack_mixed_024_200ep_cross_train
|
| 244 |
+
train_latency_filter:
|
| 245 |
+
- 0
|
| 246 |
+
- 2
|
| 247 |
+
- 4
|
| 248 |
+
eval_latency_filter:
|
| 249 |
+
- 0
|
| 250 |
+
- 2
|
| 251 |
+
- 4
|
| 252 |
+
episodes_per_latency: null
|
| 253 |
+
max_episodes: 200
|
| 254 |
+
weight: 1.0
|
| 255 |
+
- name: deadly_corridor
|
| 256 |
+
role: C
|
| 257 |
+
train_source_hf: latency-sensitive-bench/deadly_1000ep
|
| 258 |
+
prompt_source_hf: latency-sensitive-bench/deadly_1000ep
|
| 259 |
+
train_source_subdir: deadly_corridor_fix_latency_0_1000ep
|
| 260 |
+
prompt_source_subdir: deadly_corridor_fix_latency_0_1000ep
|
| 261 |
+
converted_name: deadly_corridor_mixed_024_1000ep_cross_train
|
| 262 |
+
train_latency_filter:
|
| 263 |
+
- 0
|
| 264 |
+
- 2
|
| 265 |
+
- 4
|
| 266 |
+
eval_latency_filter:
|
| 267 |
+
- 0
|
| 268 |
+
- 2
|
| 269 |
+
- 4
|
| 270 |
+
episodes_per_latency: null
|
| 271 |
+
max_episodes: 1000
|
| 272 |
+
action_layout: multibinary_7
|
| 273 |
+
weight: 1.0
|
| 274 |
+
- name: asterix
|
| 275 |
+
role: D
|
| 276 |
+
train_source_hf: latency-sensitive-bench/asterix_200ep
|
| 277 |
+
prompt_source_hf: latency-sensitive-bench/asterix_200ep
|
| 278 |
+
train_source_subdir: asterix_fixed_latency_0_200ep_7k2steps
|
| 279 |
+
prompt_source_subdir: asterix_fixed_latency_0_200ep_7k2steps
|
| 280 |
+
converted_name: asterix_mixed_024_200ep_cross_train
|
| 281 |
+
train_latency_filter:
|
| 282 |
+
- 0
|
| 283 |
+
- 2
|
| 284 |
+
- 4
|
| 285 |
+
eval_latency_filter:
|
| 286 |
+
- 0
|
| 287 |
+
- 2
|
| 288 |
+
- 4
|
| 289 |
+
episodes_per_latency: null
|
| 290 |
+
max_episodes: 200
|
| 291 |
+
action_layout: factorized_6
|
| 292 |
+
weight: 1.0
|
| 293 |
+
- name: atlantis
|
| 294 |
+
role: E
|
| 295 |
+
train_source_hf: latency-sensitive-bench/atlantis_200ep
|
| 296 |
+
prompt_source_hf: latency-sensitive-bench/atlantis_200ep
|
| 297 |
+
train_source_subdir: atlantis_fixed_latency_0_200ep_7k2steps
|
| 298 |
+
prompt_source_subdir: atlantis_fixed_latency_0_200ep_7k2steps
|
| 299 |
+
converted_name: atlantis_mixed_024_200ep_cross_train
|
| 300 |
+
train_latency_filter:
|
| 301 |
+
- 0
|
| 302 |
+
- 2
|
| 303 |
+
- 4
|
| 304 |
+
eval_latency_filter:
|
| 305 |
+
- 0
|
| 306 |
+
- 2
|
| 307 |
+
- 4
|
| 308 |
+
episodes_per_latency: null
|
| 309 |
+
max_episodes: 200
|
| 310 |
+
weight: 1.0
|
| 311 |
+
- name: defend_the_line
|
| 312 |
+
role: F
|
| 313 |
+
train_source_hf: latency-sensitive-bench/defend_the_line_200ep
|
| 314 |
+
prompt_source_hf: latency-sensitive-bench/defend_the_line_200ep
|
| 315 |
+
train_source_subdir: defend_the_line_fixed_latency_0_200ep_7k2steps
|
| 316 |
+
prompt_source_subdir: defend_the_line_fixed_latency_0_200ep_7k2steps
|
| 317 |
+
converted_name: defend_the_line_mixed_024_200ep_cross_train
|
| 318 |
+
train_latency_filter:
|
| 319 |
+
- 0
|
| 320 |
+
- 2
|
| 321 |
+
- 4
|
| 322 |
+
eval_latency_filter:
|
| 323 |
+
- 0
|
| 324 |
+
- 2
|
| 325 |
+
- 4
|
| 326 |
+
episodes_per_latency: null
|
| 327 |
+
max_episodes: 200
|
| 328 |
+
weight: 1.0
|
| 329 |
+
loss_by_task:
|
| 330 |
+
flappy: discrete_ce
|
| 331 |
+
demon_attack: discrete_ce
|
| 332 |
+
defend_the_line: discrete_ce
|
| 333 |
+
deadly_corridor: multibinary_bce
|
| 334 |
+
asterix: asterix_factorized_ce
|
| 335 |
+
atlantis: discrete_ce
|
| 336 |
+
loss_weight_by_task:
|
| 337 |
+
flappy: 1.0
|
| 338 |
+
demon_attack: 1.0
|
| 339 |
+
defend_the_line: 1.0
|
| 340 |
+
deadly_corridor: 1.0
|
| 341 |
+
asterix: 1.0
|
| 342 |
+
atlantis: 1.0
|
| 343 |
+
eval_tasks:
|
| 344 |
+
flappy:
|
| 345 |
+
prompt_map_path: /mnt/local/talha/playground/Datasets/rl_games/_prompt_maps/flappy_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge/eval_latency_prompt_map.json
|
| 346 |
+
frameskip: 1
|
| 347 |
+
image_size: 224
|
| 348 |
+
task_description: 'You are playing Flappy Bird. Pass through the pipe gaps
|
| 349 |
+
and stay alive. Choose the action: NOOP, FLAP.'
|
| 350 |
+
mid_train:
|
| 351 |
+
enabled: false
|
| 352 |
+
latencies:
|
| 353 |
+
- 0
|
| 354 |
+
- 2
|
| 355 |
+
- 4
|
| 356 |
+
num_episodes: 5
|
| 357 |
+
max_steps_per_episode: 3600
|
| 358 |
+
post_train:
|
| 359 |
+
enabled: true
|
| 360 |
+
latencies:
|
| 361 |
+
- 0
|
| 362 |
+
- 2
|
| 363 |
+
- 4
|
| 364 |
+
num_episodes: 20
|
| 365 |
+
max_steps_per_episode: 3600
|
| 366 |
+
demon_attack:
|
| 367 |
+
prompt_map_path: /mnt/local/talha/playground/Datasets/rl_games/_prompt_maps/demon_attack_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge/eval_latency_prompt_map.json
|
| 368 |
+
frameskip: 4
|
| 369 |
+
image_size: 224
|
| 370 |
+
task_description: 'You are playing Demon Attack from a single game image.
|
| 371 |
+
Choose exactly one action from: NOOP, FIRE, RIGHT, LEFT, RIGHTFIRE, LEFTFIRE.'
|
| 372 |
+
mid_train:
|
| 373 |
+
enabled: false
|
| 374 |
+
latencies:
|
| 375 |
+
- 0
|
| 376 |
+
- 2
|
| 377 |
+
- 4
|
| 378 |
+
num_episodes: 5
|
| 379 |
+
max_steps_per_episode: 3600
|
| 380 |
+
post_train:
|
| 381 |
+
enabled: true
|
| 382 |
+
latencies:
|
| 383 |
+
- 0
|
| 384 |
+
- 2
|
| 385 |
+
- 4
|
| 386 |
+
num_episodes: 20
|
| 387 |
+
max_steps_per_episode: 3600
|
| 388 |
+
defend_the_line:
|
| 389 |
+
prompt_map_path: null
|
| 390 |
+
frameskip: 4
|
| 391 |
+
image_size: 224
|
| 392 |
+
task_description: null
|
| 393 |
+
mid_train:
|
| 394 |
+
enabled: false
|
| 395 |
+
latencies: null
|
| 396 |
+
num_episodes: null
|
| 397 |
+
max_steps_per_episode: null
|
| 398 |
+
post_train:
|
| 399 |
+
enabled: false
|
| 400 |
+
latencies: null
|
| 401 |
+
num_episodes: null
|
| 402 |
+
max_steps_per_episode: null
|
| 403 |
+
deadly_corridor:
|
| 404 |
+
prompt_map_path: /mnt/local/talha/playground/Datasets/rl_games/_prompt_maps/deadly_corridor_mixed_024_1000ep_cross_train__lat0_2_4__1000ep__bridge/eval_latency_prompt_map.json
|
| 405 |
+
frameskip: 4
|
| 406 |
+
image_size: 224
|
| 407 |
+
task_description: You are playing Deadly Corridor in VizDoom. Choose actions
|
| 408 |
+
from MOVE_FORWARD, MOVE_BACKWARD, MOVE_LEFT, MOVE_RIGHT, TURN_LEFT, TURN_RIGHT,
|
| 409 |
+
ATTACK.
|
| 410 |
+
mid_train:
|
| 411 |
+
enabled: false
|
| 412 |
+
latencies:
|
| 413 |
+
- 0
|
| 414 |
+
- 2
|
| 415 |
+
- 4
|
| 416 |
+
num_episodes: 5
|
| 417 |
+
max_steps_per_episode: 3600
|
| 418 |
+
post_train:
|
| 419 |
+
enabled: true
|
| 420 |
+
latencies:
|
| 421 |
+
- 0
|
| 422 |
+
- 2
|
| 423 |
+
- 4
|
| 424 |
+
num_episodes: 20
|
| 425 |
+
max_steps_per_episode: 3600
|
| 426 |
+
asterix:
|
| 427 |
+
prompt_map_path: null
|
| 428 |
+
frameskip: 4
|
| 429 |
+
image_size: 224
|
| 430 |
+
task_description: null
|
| 431 |
+
mid_train:
|
| 432 |
+
enabled: false
|
| 433 |
+
latencies: null
|
| 434 |
+
num_episodes: null
|
| 435 |
+
max_steps_per_episode: null
|
| 436 |
+
post_train:
|
| 437 |
+
enabled: false
|
| 438 |
+
latencies: null
|
| 439 |
+
num_episodes: null
|
| 440 |
+
max_steps_per_episode: null
|
| 441 |
+
atlantis:
|
| 442 |
+
prompt_map_path: null
|
| 443 |
+
frameskip: 4
|
| 444 |
+
image_size: 224
|
| 445 |
+
task_description: null
|
| 446 |
+
mid_train:
|
| 447 |
+
enabled: false
|
| 448 |
+
latencies: null
|
| 449 |
+
num_episodes: null
|
| 450 |
+
max_steps_per_episode: null
|
| 451 |
+
post_train:
|
| 452 |
+
enabled: false
|
| 453 |
+
latencies: null
|
| 454 |
+
num_episodes: null
|
| 455 |
+
max_steps_per_episode: null
|
| 456 |
+
initialization_mode: bridge
|
| 457 |
+
action_carrier: bridge
|
| 458 |
+
model: openvla
|
| 459 |
+
env: cross_task
|
| 460 |
+
init: bridge
|
| 461 |
+
bridge_base_model:
|
| 462 |
+
repo_id:
|
| 463 |
+
openvla: Qwen/Qwen3-VL-4B-Instruct
|
| 464 |
+
pi0: StarVLA/Qwen2.5-VL-3B-Instruct-Action
|
| 465 |
+
pi05: Qwen/Qwen3-VL-4B-Instruct
|
| 466 |
+
gr00t: Qwen/Qwen3-VL-4B-Instruct
|
| 467 |
+
local_dir:
|
| 468 |
+
openvla: playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 469 |
+
pi0: playground/Pretrained_models/Qwen2.5-VL-3B-Instruct-Action
|
| 470 |
+
pi05: playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 471 |
+
gr00t: playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 472 |
+
mode: cross_task
|
| 473 |
+
checkpoint:
|
| 474 |
+
load: auto
|
| 475 |
+
hf_repo_id: latency-sensitive-bench/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1
|
| 476 |
+
save_best_model: false
|
| 477 |
+
save_final_model: true
|
| 478 |
+
save_pt_file: false
|
| 479 |
+
save_training_state: true
|
| 480 |
+
save_safetensors_file: false
|
| 481 |
+
local:
|
| 482 |
+
keep_last_n: 1
|
| 483 |
+
sync:
|
| 484 |
+
enabled: true
|
| 485 |
+
repo_id: latency-sensitive-bench/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1
|
| 486 |
+
keep_last_n: 0
|
| 487 |
+
sync_every_n_checkpoints: 1
|
| 488 |
+
resume_policy: local_latest
|
| 489 |
+
run_id: openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1
|
| 490 |
+
output_dir: null
|
| 491 |
+
config_yaml: null
|
| 492 |
+
is_debug: false
|
| 493 |
+
version_id: 0.21
|
| 494 |
+
wandb_tags:
|
| 495 |
+
- final_vla_profiling_training
|
| 496 |
+
- demon_attack
|
| 497 |
+
- openvla
|
| 498 |
+
- rtx3090_profile
|
| 499 |
+
training_latency_condition: rtx3090_profile
|
| 500 |
+
wandb_group: final_vla_profiling_training
|
archive/task-transfer/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1/hydra/.hydra/hydra.yaml
ADDED
|
@@ -0,0 +1,463 @@
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|
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|
|
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|
|
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|
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|
|
|
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|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
|
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|
|
|
|
|
|
|
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|
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|
|
|
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|
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|
|
|
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|
|
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|
|
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|
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|
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|
|
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|
|
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|
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|
|
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|
|
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|
|
|
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|
|
|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
hydra:
|
| 2 |
+
run:
|
| 3 |
+
dir: ${run_root_dir}/${run_id}/hydra
|
| 4 |
+
sweep:
|
| 5 |
+
dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
|
| 6 |
+
subdir: ${hydra.job.num}
|
| 7 |
+
launcher:
|
| 8 |
+
_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
| 9 |
+
sweeper:
|
| 10 |
+
_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
| 11 |
+
max_batch_size: null
|
| 12 |
+
params: null
|
| 13 |
+
help:
|
| 14 |
+
app_name: ${hydra.job.name}
|
| 15 |
+
header: '${hydra.help.app_name} is powered by Hydra.
|
| 16 |
+
|
| 17 |
+
'
|
| 18 |
+
footer: 'Powered by Hydra (https://hydra.cc)
|
| 19 |
+
|
| 20 |
+
Use --hydra-help to view Hydra specific help
|
| 21 |
+
|
| 22 |
+
'
|
| 23 |
+
template: '${hydra.help.header}
|
| 24 |
+
|
| 25 |
+
== Configuration groups ==
|
| 26 |
+
|
| 27 |
+
Compose your configuration from those groups (group=option)
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
$APP_CONFIG_GROUPS
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
== Config ==
|
| 34 |
+
|
| 35 |
+
Override anything in the config (foo.bar=value)
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
$CONFIG
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
${hydra.help.footer}
|
| 42 |
+
|
| 43 |
+
'
|
| 44 |
+
hydra_help:
|
| 45 |
+
template: 'Hydra (${hydra.runtime.version})
|
| 46 |
+
|
| 47 |
+
See https://hydra.cc for more info.
|
| 48 |
+
|
| 49 |
+
|
| 50 |
+
== Flags ==
|
| 51 |
+
|
| 52 |
+
$FLAGS_HELP
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
== Configuration groups ==
|
| 56 |
+
|
| 57 |
+
Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
| 58 |
+
to command line)
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
$HYDRA_CONFIG_GROUPS
|
| 62 |
+
|
| 63 |
+
|
| 64 |
+
Use ''--cfg hydra'' to Show the Hydra config.
|
| 65 |
+
|
| 66 |
+
'
|
| 67 |
+
hydra_help: ???
|
| 68 |
+
hydra_logging:
|
| 69 |
+
version: 1
|
| 70 |
+
formatters:
|
| 71 |
+
simple:
|
| 72 |
+
format: '[%(asctime)s][HYDRA] %(message)s'
|
| 73 |
+
handlers:
|
| 74 |
+
console:
|
| 75 |
+
class: logging.StreamHandler
|
| 76 |
+
formatter: simple
|
| 77 |
+
stream: ext://sys.stdout
|
| 78 |
+
root:
|
| 79 |
+
level: INFO
|
| 80 |
+
handlers:
|
| 81 |
+
- console
|
| 82 |
+
loggers:
|
| 83 |
+
logging_example:
|
| 84 |
+
level: DEBUG
|
| 85 |
+
disable_existing_loggers: false
|
| 86 |
+
job_logging:
|
| 87 |
+
version: 1
|
| 88 |
+
formatters:
|
| 89 |
+
simple:
|
| 90 |
+
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
| 91 |
+
handlers:
|
| 92 |
+
console:
|
| 93 |
+
class: logging.StreamHandler
|
| 94 |
+
formatter: simple
|
| 95 |
+
stream: ext://sys.stdout
|
| 96 |
+
file:
|
| 97 |
+
class: logging.FileHandler
|
| 98 |
+
formatter: simple
|
| 99 |
+
filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
|
| 100 |
+
root:
|
| 101 |
+
level: INFO
|
| 102 |
+
handlers:
|
| 103 |
+
- console
|
| 104 |
+
- file
|
| 105 |
+
disable_existing_loggers: false
|
| 106 |
+
env: {}
|
| 107 |
+
mode: RUN
|
| 108 |
+
searchpath: []
|
| 109 |
+
callbacks: {}
|
| 110 |
+
output_subdir: .hydra
|
| 111 |
+
overrides:
|
| 112 |
+
hydra:
|
| 113 |
+
- hydra.mode=RUN
|
| 114 |
+
task:
|
| 115 |
+
- model=openvla
|
| 116 |
+
- env=cross_task
|
| 117 |
+
- init=bridge
|
| 118 |
+
- mode=cross_task
|
| 119 |
+
- ++framework.qwenvl.base_vlm=/mnt/local/talha/playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 120 |
+
- ++framework.qwenvl.attn_implementation=flash_attention_2
|
| 121 |
+
- ++framework.qwenvl.enable_gradient_checkpointing=true
|
| 122 |
+
- ++framework.action_model.state_dim=7
|
| 123 |
+
- ++framework.action_model.loss_type=discrete_ce
|
| 124 |
+
- ++framework.action_model.action_horizon=1
|
| 125 |
+
- ++framework.action_model.future_action_window_size=0
|
| 126 |
+
- ++framework.action_model.past_action_window_size=0
|
| 127 |
+
- ++framework.action_model.action_dim=7
|
| 128 |
+
- ++framework.action_model.action_env_dim=7
|
| 129 |
+
- ++framework.action_model.state_encoding=discretized_text
|
| 130 |
+
- ++framework.action_model.action_layout=bridge_cross_task_7
|
| 131 |
+
- ++framework.kv_memory.enabled=false
|
| 132 |
+
- ++framework.kv_memory.window=4
|
| 133 |
+
- ++framework.kv_memory.rollout_len=8
|
| 134 |
+
- ++framework.kv_memory.packed_train=false
|
| 135 |
+
- ++framework.kv_memory.rebased_sink=true
|
| 136 |
+
- ++framework.name=QwenOFT
|
| 137 |
+
- ++datasets.vla_data.dataset_py=lerobot_datasets
|
| 138 |
+
- ++datasets.vla_data.include_state=false
|
| 139 |
+
- ++datasets.vla_data.data_root_dir=playground/Datasets/rl_games
|
| 140 |
+
- ++datasets.vla_data.data_mix=cross_task_train
|
| 141 |
+
- ++datasets.vla_data.eval_data_mix=null
|
| 142 |
+
- ++datasets.vla_data.custom_mixtures_path=null
|
| 143 |
+
- ++datasets.vla_data.action_type=discrete
|
| 144 |
+
- ++datasets.vla_data.sequential_step_sampling=true
|
| 145 |
+
- ++datasets.vla_data.eval_sequential_step_sampling=null
|
| 146 |
+
- ++datasets.vla_data.num_workers=8
|
| 147 |
+
- ++datasets.vla_data.eval_num_workers=8
|
| 148 |
+
- ++datasets.vla_data.prefetch_factor=4
|
| 149 |
+
- ++datasets.vla_data.persistent_workers=true
|
| 150 |
+
- ++datasets.vla_data.pin_memory=true
|
| 151 |
+
- ++datasets.vla_data.shuffle=true
|
| 152 |
+
- ++datasets.vla_data.action_balance.enabled=false
|
| 153 |
+
- ++datasets.vla_data.action_balance.strategy=balanced_epoch
|
| 154 |
+
- ++datasets.vla_data.action_balance.action_key=action_id
|
| 155 |
+
- ++datasets.vla_data.action_balance.target_flap_fraction=0.3
|
| 156 |
+
- ++datasets.vla_data.action_balance.noop_id=0
|
| 157 |
+
- ++datasets.vla_data.action_balance.flap_id=1
|
| 158 |
+
- ++datasets.vla_data.latency_curriculum.enabled=false
|
| 159 |
+
- ++datasets.vla_data.latency_curriculum.strategy=exclusive
|
| 160 |
+
- ++datasets.vla_data.latency_curriculum.latencies=null
|
| 161 |
+
- ++datasets.vla_data.latency_curriculum.phase_steps=null
|
| 162 |
+
- ++datasets.vla_data.latency_curriculum.phase_distributions=null
|
| 163 |
+
- ++datasets.vla_data.latency_curriculum.new_latency_passes=1.0
|
| 164 |
+
- ++datasets.vla_data.latency_curriculum.replay_passes=0.25
|
| 165 |
+
- ++datasets.vla_data.latency_curriculum.target_total_passes=2.0
|
| 166 |
+
- ++datasets.vla_data.latency_curriculum.final_equalization=true
|
| 167 |
+
- ++datasets.vla_data.latency_curriculum.step_budget_mode=auto
|
| 168 |
+
- ++datasets.vla_data.latency_curriculum.eval_at_phase_end=false
|
| 169 |
+
- ++datasets.vla_data.latency_curriculum.save_at_phase_end=false
|
| 170 |
+
- ++datasets.vla_data.latency_curriculum.computed_plan=null
|
| 171 |
+
- ++datasets.vla_data.per_device_batch_size=32
|
| 172 |
+
- ++datasets.vla_data.load_all_data_for_training=true
|
| 173 |
+
- ++datasets.vla_data.num_obs_frames=1
|
| 174 |
+
- ++datasets.vla_data.image_mode=single
|
| 175 |
+
- ++datasets.vla_data.prompt_mode=raw
|
| 176 |
+
- ++datasets.vla_data.stitch_grid=[2,2]
|
| 177 |
+
- ++datasets.vla_data.obs_image_size=null
|
| 178 |
+
- ++datasets.vla_data.video_backend=torchvision_av
|
| 179 |
+
- ++dataset.source_hf=
|
| 180 |
+
- ++dataset.config_name=null
|
| 181 |
+
- ++dataset.source_subdir=null
|
| 182 |
+
- ++dataset.converted_name=cross_task_train
|
| 183 |
+
- ++dataset.single_source_hf=
|
| 184 |
+
- ++dataset.mixed_source_hf=
|
| 185 |
+
- ++dataset.single_converted_name=flappy_train
|
| 186 |
+
- ++dataset.mixed_converted_name=flappy_mixed_latency_train
|
| 187 |
+
- ++dataset.single_latency_filter=null
|
| 188 |
+
- ++dataset.mixed_latency_filter=null
|
| 189 |
+
- ++dataset.force_download=false
|
| 190 |
+
- ++dataset.setup_force=false
|
| 191 |
+
- ++dataset.skip_verification=false
|
| 192 |
+
- ++dataset.target_latency_unit=observation_steps
|
| 193 |
+
- ++dataset.verify_rows=200
|
| 194 |
+
- ++dataset.max_episodes=null
|
| 195 |
+
- ++dataset.episodes_per_latency=null
|
| 196 |
+
- ++dataset.latency_filter=null
|
| 197 |
+
- ++dataset.debug_subset.enabled=false
|
| 198 |
+
- ++dataset.debug_subset.max_episodes=5
|
| 199 |
+
- ++dataset.debug_subset.suffix=debug
|
| 200 |
+
- ++base_model.repo_id=Qwen/Qwen3-VL-4B-Instruct
|
| 201 |
+
- ++initialization.checkpoint_local_dir=playground/Pretrained_models/Qwen3VL-OFT-Bridge-RT-1
|
| 202 |
+
- ++initialization.checkpoint_hf_repo_id=StarVLA/Qwen3VL-OFT-Bridge-RT-1
|
| 203 |
+
- ++initialization.checkpoint_filename=checkpoints/steps_5000_pytorch_model.pt
|
| 204 |
+
- ++trainer.max_train_steps=15000
|
| 205 |
+
- ++trainer.num_warmup_steps=0
|
| 206 |
+
- ++trainer.save_interval=15000
|
| 207 |
+
- ++trainer.eval_interval=15000
|
| 208 |
+
- ++trainer.eval_num_batches=100
|
| 209 |
+
- ++trainer.per_latency_eval_num_batches=5
|
| 210 |
+
- ++trainer.eval_action_classification=true
|
| 211 |
+
- ++trainer.eval_action_classification_interval=null
|
| 212 |
+
- ++trainer.cc_f1_tolerance=1
|
| 213 |
+
- ++trainer.learning_rate.base=2e-05
|
| 214 |
+
- ++trainer.learning_rate.qwen_vl_interface=1e-05
|
| 215 |
+
- ++trainer.learning_rate.action_model=0.0001
|
| 216 |
+
- ++trainer.lr_scheduler_type=cosine_with_min_lr
|
| 217 |
+
- ++trainer.scheduler_specific_kwargs.min_lr=1e-06
|
| 218 |
+
- ++trainer.freeze_modules=
|
| 219 |
+
- ++trainer.freeze_vit=false
|
| 220 |
+
- ++trainer.freeze_tied_embedding=false
|
| 221 |
+
- ++trainer.freeze_llm_layers=[]
|
| 222 |
+
- ++trainer.loss_scale.vla=1.0
|
| 223 |
+
- ++trainer.loss_scale.vlm=0.1
|
| 224 |
+
- ++trainer.max_grad_norm=1.0
|
| 225 |
+
- ++trainer.weight_decay=0.0
|
| 226 |
+
- ++trainer.logging_frequency=1
|
| 227 |
+
- ++trainer.profile_timing.enabled=false
|
| 228 |
+
- ++trainer.profile_timing.log_interval=10
|
| 229 |
+
- ++trainer.gradient_clipping=1.0
|
| 230 |
+
- ++trainer.gradient_accumulation_steps=8
|
| 231 |
+
- ++trainer.distributed_backend=none
|
| 232 |
+
- ++trainer.is_resume=false
|
| 233 |
+
- ++trainer.pretrained_checkpoint=null
|
| 234 |
+
- ++trainer.resume_step=0
|
| 235 |
+
- ++trainer.reload_modules=null
|
| 236 |
+
- ++trainer.optimizer.name=AdamW
|
| 237 |
+
- ++trainer.optimizer.betas=[0.9,0.95]
|
| 238 |
+
- ++trainer.optimizer.eps=1e-08
|
| 239 |
+
- ++trainer.optimizer.weight_decay=1e-08
|
| 240 |
+
- ++trainer.optimizer.fused=true
|
| 241 |
+
- ++trainer.save_format=pt
|
| 242 |
+
- ++workspace_dir=/mnt/local/talha
|
| 243 |
+
- ++run_root_dir=results/Checkpoints
|
| 244 |
+
- ++seed=42
|
| 245 |
+
- ++auth.env_file=null
|
| 246 |
+
- ++auth.hf_token_env=HF_TOKEN
|
| 247 |
+
- ++auth.wandb_api_key_env=WANDB_API_KEY
|
| 248 |
+
- ++paths.run_root_dir=/mnt/local/talha/results/Checkpoints
|
| 249 |
+
- ++paths.dataset_local_dir=/mnt/local/talha/playground/Datasets/rl_games
|
| 250 |
+
- ++paths.dataset_cache_dir=null
|
| 251 |
+
- ++paths.base_model_dir=/mnt/local/talha/playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 252 |
+
- ++paths.accelerate_config=starVLA/config/deepseeds/deepspeed_zero2.yaml
|
| 253 |
+
- ++rl_games.model_alias=openvla
|
| 254 |
+
- ++rl_games.task=cross_task
|
| 255 |
+
- ++rl_games.env_eval.image_size=224
|
| 256 |
+
- ++rl_games.env_eval.frameskip=1
|
| 257 |
+
- ++rl_games.env_eval.deadly.action_layout=multibinary_7
|
| 258 |
+
- ++rl_games.env_eval.deadly.multibinary_threshold=0.0
|
| 259 |
+
- ++rl_games.env_eval.enabled=true
|
| 260 |
+
- ++rl_games.env_eval.eval_backend=eval_core
|
| 261 |
+
- ++rl_games.env_eval.distributed_mode=none
|
| 262 |
+
- ++rl_games.env_eval.vectorized.enabled=false
|
| 263 |
+
- ++rl_games.env_eval.vectorized.batch_size=1
|
| 264 |
+
- ++rl_games.env_eval.latency.prompt_map_path=null
|
| 265 |
+
- ++rl_games.env_eval.latency.mode=mixed
|
| 266 |
+
- ++rl_games.env_eval.latency.values=[0,1,2,3,4,5]
|
| 267 |
+
- ++rl_games.env_eval.mid_train.enabled=false
|
| 268 |
+
- ++rl_games.env_eval.mid_train.interval_steps=1000
|
| 269 |
+
- ++rl_games.env_eval.mid_train.latencies=[0,1,2,3,4,5]
|
| 270 |
+
- ++rl_games.env_eval.mid_train.num_episodes=5
|
| 271 |
+
- ++rl_games.env_eval.mid_train.max_steps_per_episode=3600
|
| 272 |
+
- ++rl_games.env_eval.post_train.enabled=true
|
| 273 |
+
- ++rl_games.env_eval.post_train.latencies=[0,2,4]
|
| 274 |
+
- ++rl_games.env_eval.post_train.latencies_from_prompt_map=false
|
| 275 |
+
- ++rl_games.env_eval.post_train.num_episodes=5
|
| 276 |
+
- ++rl_games.env_eval.post_train.max_steps_per_episode=3600
|
| 277 |
+
- ++rl_games.env_eval.asterix.action_layout=factorized_6
|
| 278 |
+
- ++rl_games.cross_task.train_tasks=[{name:flappy,role:A,train_source_hf:latency-sensitive-bench/flappy_200ep,prompt_source_hf:latency-sensitive-bench/flappy_200ep,train_source_subdir:flappy_fix_latency_0_200ep,prompt_source_subdir:flappy_fix_latency_0_200ep,converted_name:flappy_mixed_024_200ep_cross_train,train_latency_filter:[0,2,4],eval_latency_filter:[0,2,4],episodes_per_latency:null,max_episodes:200,weight:1.0},{name:demon_attack,role:B,train_source_hf:latency-sensitive-bench/demon_attack_200ep,prompt_source_hf:latency-sensitive-bench/demon_attack_200ep,train_source_subdir:demon_attack_fix_latency_0_200ep,prompt_source_subdir:demon_attack_fix_latency_0_200ep,converted_name:demon_attack_mixed_024_200ep_cross_train,train_latency_filter:[0,2,4],eval_latency_filter:[0,2,4],episodes_per_latency:null,max_episodes:200,weight:1.0},{name:deadly_corridor,role:C,train_source_hf:latency-sensitive-bench/deadly_1000ep,prompt_source_hf:latency-sensitive-bench/deadly_1000ep,train_source_subdir:deadly_corridor_fix_latency_0_1000ep,prompt_source_subdir:deadly_corridor_fix_latency_0_1000ep,converted_name:deadly_corridor_mixed_024_1000ep_cross_train,train_latency_filter:[0,2,4],eval_latency_filter:[0,2,4],episodes_per_latency:null,max_episodes:1000,action_layout:multibinary_7,weight:1.0},{name:asterix,role:D,train_source_hf:latency-sensitive-bench/asterix_200ep,prompt_source_hf:latency-sensitive-bench/asterix_200ep,train_source_subdir:asterix_fixed_latency_0_200ep_7k2steps,prompt_source_subdir:asterix_fixed_latency_0_200ep_7k2steps,converted_name:asterix_mixed_024_200ep_cross_train,train_latency_filter:[0,2,4],eval_latency_filter:[0,2,4],episodes_per_latency:null,max_episodes:200,action_layout:factorized_6,weight:1.0},{name:atlantis,role:E,train_source_hf:latency-sensitive-bench/atlantis_200ep,prompt_source_hf:latency-sensitive-bench/atlantis_200ep,train_source_subdir:atlantis_fixed_latency_0_200ep_7k2steps,prompt_source_subdir:atlantis_fixed_latency_0_200ep_7k2steps,converted_name:atlantis_mixed_024_200ep_cross_train,train_latency_filter:[0,2,4],eval_latency_filter:[0,2,4],episodes_per_latency:null,max_episodes:200,weight:1.0},{name:defend_the_line,role:F,train_source_hf:latency-sensitive-bench/defend_the_line_200ep,prompt_source_hf:latency-sensitive-bench/defend_the_line_200ep,train_source_subdir:defend_the_line_fixed_latency_0_200ep_7k2steps,prompt_source_subdir:defend_the_line_fixed_latency_0_200ep_7k2steps,converted_name:defend_the_line_mixed_024_200ep_cross_train,train_latency_filter:[0,2,4],eval_latency_filter:[0,2,4],episodes_per_latency:null,max_episodes:200,weight:1.0}]
|
| 279 |
+
- ++rl_games.cross_task.loss_by_task.flappy=discrete_ce
|
| 280 |
+
- ++rl_games.cross_task.loss_by_task.demon_attack=discrete_ce
|
| 281 |
+
- ++rl_games.cross_task.loss_by_task.defend_the_line=discrete_ce
|
| 282 |
+
- ++rl_games.cross_task.loss_by_task.deadly_corridor=multibinary_bce
|
| 283 |
+
- ++rl_games.cross_task.loss_by_task.asterix=asterix_factorized_ce
|
| 284 |
+
- ++rl_games.cross_task.loss_by_task.atlantis=discrete_ce
|
| 285 |
+
- ++rl_games.cross_task.loss_weight_by_task.flappy=1.0
|
| 286 |
+
- ++rl_games.cross_task.loss_weight_by_task.demon_attack=1.0
|
| 287 |
+
- ++rl_games.cross_task.loss_weight_by_task.defend_the_line=1.0
|
| 288 |
+
- ++rl_games.cross_task.loss_weight_by_task.deadly_corridor=1.0
|
| 289 |
+
- ++rl_games.cross_task.loss_weight_by_task.asterix=1.0
|
| 290 |
+
- ++rl_games.cross_task.loss_weight_by_task.atlantis=1.0
|
| 291 |
+
- ++rl_games.cross_task.eval_tasks.flappy.prompt_map_path=null
|
| 292 |
+
- ++rl_games.cross_task.eval_tasks.flappy.frameskip=1
|
| 293 |
+
- ++rl_games.cross_task.eval_tasks.flappy.image_size=224
|
| 294 |
+
- '++rl_games.cross_task.eval_tasks.flappy.task_description=''You are playing
|
| 295 |
+
Flappy Bird. Pass through the pipe gaps and stay alive. Choose the action: NOOP,
|
| 296 |
+
FLAP.'''
|
| 297 |
+
- ++rl_games.cross_task.eval_tasks.flappy.mid_train.enabled=false
|
| 298 |
+
- ++rl_games.cross_task.eval_tasks.flappy.mid_train.latencies=[0,2,4]
|
| 299 |
+
- ++rl_games.cross_task.eval_tasks.flappy.mid_train.num_episodes=5
|
| 300 |
+
- ++rl_games.cross_task.eval_tasks.flappy.mid_train.max_steps_per_episode=3600
|
| 301 |
+
- ++rl_games.cross_task.eval_tasks.flappy.post_train.enabled=true
|
| 302 |
+
- ++rl_games.cross_task.eval_tasks.flappy.post_train.latencies=[0,2,4]
|
| 303 |
+
- ++rl_games.cross_task.eval_tasks.flappy.post_train.num_episodes=20
|
| 304 |
+
- ++rl_games.cross_task.eval_tasks.flappy.post_train.max_steps_per_episode=3600
|
| 305 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.prompt_map_path=null
|
| 306 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.frameskip=4
|
| 307 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.image_size=224
|
| 308 |
+
- '++rl_games.cross_task.eval_tasks.demon_attack.task_description=''You are playing
|
| 309 |
+
Demon Attack from a single game image. Choose exactly one action from: NOOP,
|
| 310 |
+
FIRE, RIGHT, LEFT, RIGHTFIRE, LEFTFIRE.'''
|
| 311 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.mid_train.enabled=false
|
| 312 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.mid_train.latencies=[0,2,4]
|
| 313 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.mid_train.num_episodes=5
|
| 314 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.mid_train.max_steps_per_episode=3600
|
| 315 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.post_train.enabled=true
|
| 316 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.post_train.latencies=[0,2,4]
|
| 317 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.post_train.num_episodes=20
|
| 318 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.post_train.max_steps_per_episode=3600
|
| 319 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.prompt_map_path=null
|
| 320 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.frameskip=4
|
| 321 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.image_size=224
|
| 322 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.task_description=null
|
| 323 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.mid_train.enabled=false
|
| 324 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.mid_train.latencies=null
|
| 325 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.mid_train.num_episodes=null
|
| 326 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.mid_train.max_steps_per_episode=null
|
| 327 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.post_train.enabled=false
|
| 328 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.post_train.latencies=null
|
| 329 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.post_train.num_episodes=null
|
| 330 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.post_train.max_steps_per_episode=null
|
| 331 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.prompt_map_path=null
|
| 332 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.frameskip=4
|
| 333 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.image_size=224
|
| 334 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.task_description='You are playing
|
| 335 |
+
Deadly Corridor in VizDoom. Choose actions from MOVE_FORWARD, MOVE_BACKWARD,
|
| 336 |
+
MOVE_LEFT, MOVE_RIGHT, TURN_LEFT, TURN_RIGHT, ATTACK.'
|
| 337 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.mid_train.enabled=false
|
| 338 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.mid_train.latencies=[0,2,4]
|
| 339 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.mid_train.num_episodes=5
|
| 340 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.mid_train.max_steps_per_episode=3600
|
| 341 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.post_train.enabled=true
|
| 342 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.post_train.latencies=[0,2,4]
|
| 343 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.post_train.num_episodes=20
|
| 344 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.post_train.max_steps_per_episode=3600
|
| 345 |
+
- ++rl_games.cross_task.eval_tasks.asterix.prompt_map_path=null
|
| 346 |
+
- ++rl_games.cross_task.eval_tasks.asterix.frameskip=4
|
| 347 |
+
- ++rl_games.cross_task.eval_tasks.asterix.image_size=224
|
| 348 |
+
- ++rl_games.cross_task.eval_tasks.asterix.task_description=null
|
| 349 |
+
- ++rl_games.cross_task.eval_tasks.asterix.mid_train.enabled=false
|
| 350 |
+
- ++rl_games.cross_task.eval_tasks.asterix.mid_train.latencies=null
|
| 351 |
+
- ++rl_games.cross_task.eval_tasks.asterix.mid_train.num_episodes=null
|
| 352 |
+
- ++rl_games.cross_task.eval_tasks.asterix.mid_train.max_steps_per_episode=null
|
| 353 |
+
- ++rl_games.cross_task.eval_tasks.asterix.post_train.enabled=false
|
| 354 |
+
- ++rl_games.cross_task.eval_tasks.asterix.post_train.latencies=null
|
| 355 |
+
- ++rl_games.cross_task.eval_tasks.asterix.post_train.num_episodes=null
|
| 356 |
+
- ++rl_games.cross_task.eval_tasks.asterix.post_train.max_steps_per_episode=null
|
| 357 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.prompt_map_path=null
|
| 358 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.frameskip=4
|
| 359 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.image_size=224
|
| 360 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.task_description=null
|
| 361 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.mid_train.enabled=false
|
| 362 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.mid_train.latencies=null
|
| 363 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.mid_train.num_episodes=null
|
| 364 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.mid_train.max_steps_per_episode=null
|
| 365 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.post_train.enabled=false
|
| 366 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.post_train.latencies=null
|
| 367 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.post_train.num_episodes=null
|
| 368 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.post_train.max_steps_per_episode=null
|
| 369 |
+
- ++rl_games.initialization_mode=bridge
|
| 370 |
+
- ++rl_games.action_carrier=bridge
|
| 371 |
+
- ++bridge_base_model.repo_id.openvla=Qwen/Qwen3-VL-4B-Instruct
|
| 372 |
+
- ++bridge_base_model.repo_id.pi0=StarVLA/Qwen2.5-VL-3B-Instruct-Action
|
| 373 |
+
- ++bridge_base_model.repo_id.pi05=Qwen/Qwen3-VL-4B-Instruct
|
| 374 |
+
- ++bridge_base_model.repo_id.gr00t=Qwen/Qwen3-VL-4B-Instruct
|
| 375 |
+
- ++bridge_base_model.local_dir.openvla=playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 376 |
+
- ++bridge_base_model.local_dir.pi0=playground/Pretrained_models/Qwen2.5-VL-3B-Instruct-Action
|
| 377 |
+
- ++bridge_base_model.local_dir.pi05=playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 378 |
+
- ++bridge_base_model.local_dir.gr00t=playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 379 |
+
- ++checkpoint.load=auto
|
| 380 |
+
- ++checkpoint.hf_repo_id=latency-sensitive-bench/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1
|
| 381 |
+
- ++checkpoint.save_best_model=false
|
| 382 |
+
- ++checkpoint.save_final_model=true
|
| 383 |
+
- ++checkpoint.save_pt_file=false
|
| 384 |
+
- ++checkpoint.save_training_state=true
|
| 385 |
+
- ++checkpoint.save_safetensors_file=false
|
| 386 |
+
- ++checkpoint.local.keep_last_n=1
|
| 387 |
+
- ++checkpoint.sync.enabled=true
|
| 388 |
+
- ++checkpoint.sync.repo_id=latency-sensitive-bench/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1
|
| 389 |
+
- ++checkpoint.sync.keep_last_n=0
|
| 390 |
+
- ++checkpoint.sync.sync_every_n_checkpoints=1
|
| 391 |
+
- ++checkpoint.sync.resume_policy=local_latest
|
| 392 |
+
- ++run_id=openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1
|
| 393 |
+
- ++output_dir=null
|
| 394 |
+
- ++config_yaml=null
|
| 395 |
+
- ++is_debug=false
|
| 396 |
+
- ++version_id=0.21
|
| 397 |
+
- ++wandb_tags=[final_vla_profiling_training,demon_attack,openvla,rtx3090_profile]
|
| 398 |
+
- ++training_latency_condition=rtx3090_profile
|
| 399 |
+
- ++wandb_group=final_vla_profiling_training
|
| 400 |
+
- ++run_root_dir=/mnt/local/talha/results/Checkpoints
|
| 401 |
+
- ++trainer.is_resume=false
|
| 402 |
+
- ++trainer.pretrained_checkpoint=/mnt/local/talha/results/Checkpoints/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1/checkpoints/_initialization/StarVLA_Qwen3VL-OFT-Bridge-RT-1/checkpoints/steps_5000_pytorch_model.pt
|
| 403 |
+
- ++trainer.resume_step=0
|
| 404 |
+
- ++datasets.vla_data.data_root_dir=/mnt/local/talha/playground/Datasets/rl_games
|
| 405 |
+
- ++datasets.vla_data.data_mix=cross__asterix_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__atlantis_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__deadly_corridor_mixed_024_1000ep_cross_train__lat0_2_4__1000ep__bridge__defend_the_line_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__demon_attack_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__flappy_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge
|
| 406 |
+
- ++datasets.vla_data.eval_data_mix=cross__asterix_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__atlantis_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__deadly_corridor_mixed_024_1000ep_cross_train__lat0_2_4__1000ep__bridge__defend_the_line_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__demon_attack_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__flappy_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__val
|
| 407 |
+
- ++datasets.vla_data.custom_mixtures_path=/mnt/local/talha/playground/Datasets/rl_games/_generated_mixtures/cross_09b5517c91a12cca.json
|
| 408 |
+
- ++framework.qwenvl.base_vlm=/mnt/local/talha/playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 409 |
+
- ++rl_games.cross_task.eval_tasks.flappy.prompt_map_path=/mnt/local/talha/playground/Datasets/rl_games/_prompt_maps/flappy_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge/eval_latency_prompt_map.json
|
| 410 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.prompt_map_path=/mnt/local/talha/playground/Datasets/rl_games/_prompt_maps/demon_attack_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge/eval_latency_prompt_map.json
|
| 411 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.prompt_map_path=/mnt/local/talha/playground/Datasets/rl_games/_prompt_maps/deadly_corridor_mixed_024_1000ep_cross_train__lat0_2_4__1000ep__bridge/eval_latency_prompt_map.json
|
| 412 |
+
job:
|
| 413 |
+
name: train_starvla_hydra
|
| 414 |
+
chdir: false
|
| 415 |
+
override_dirname: '++auth.env_file=null,++auth.hf_token_env=HF_TOKEN,++auth.wandb_api_key_env=WANDB_API_KEY,++base_model.repo_id=Qwen/Qwen3-VL-4B-Instruct,++bridge_base_model.local_dir.gr00t=playground/Pretrained_models/Qwen3-VL-4B-Instruct,++bridge_base_model.local_dir.openvla=playground/Pretrained_models/Qwen3-VL-4B-Instruct,++bridge_base_model.local_dir.pi05=playground/Pretrained_models/Qwen3-VL-4B-Instruct,++bridge_base_model.local_dir.pi0=playground/Pretrained_models/Qwen2.5-VL-3B-Instruct-Action,++bridge_base_model.repo_id.gr00t=Qwen/Qwen3-VL-4B-Instruct,++bridge_base_model.repo_id.openvla=Qwen/Qwen3-VL-4B-Instruct,++bridge_base_model.repo_id.pi05=Qwen/Qwen3-VL-4B-Instruct,++bridge_base_model.repo_id.pi0=StarVLA/Qwen2.5-VL-3B-Instruct-Action,++checkpoint.hf_repo_id=latency-sensitive-bench/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1,++checkpoint.load=auto,++checkpoint.local.keep_last_n=1,++checkpoint.save_best_model=false,++checkpoint.save_final_model=true,++checkpoint.save_pt_file=false,++checkpoint.save_safetensors_file=false,++checkpoint.save_training_state=true,++checkpoint.sync.enabled=true,++checkpoint.sync.keep_last_n=0,++checkpoint.sync.repo_id=latency-sensitive-bench/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1,++checkpoint.sync.resume_policy=local_latest,++checkpoint.sync.sync_every_n_checkpoints=1,++config_yaml=null,++dataset.config_name=null,++dataset.converted_name=cross_task_train,++dataset.debug_subset.enabled=false,++dataset.debug_subset.max_episodes=5,++dataset.debug_subset.suffix=debug,++dataset.episodes_per_latency=null,++dataset.force_download=false,++dataset.latency_filter=null,++dataset.max_episodes=null,++dataset.mixed_converted_name=flappy_mixed_latency_train,++dataset.mixed_latency_filter=null,++dataset.mixed_source_hf=,++dataset.setup_force=false,++dataset.single_converted_name=flappy_train,++dataset.single_latency_filter=null,++dataset.single_source_hf=,++dataset.skip_verification=false,++dataset.source_hf=,++dataset.source_subdir=null,++dataset.target_latency_unit=observation_steps,++dataset.verify_rows=200,++datasets.vla_data.action_balance.action_key=action_id,++datasets.vla_data.action_balance.enabled=false,++datasets.vla_data.action_balance.flap_id=1,++datasets.vla_data.action_balance.noop_id=0,++datasets.vla_data.action_balance.strategy=balanced_epoch,++datasets.vla_data.action_balance.target_flap_fraction=0.3,++datasets.vla_data.action_type=discrete,++datasets.vla_data.custom_mixtures_path=/mnt/local/talha/playground/Datasets/rl_games/_generated_mixtures/cross_09b5517c91a12cca.json,++datasets.vla_data.custom_mixtures_path=null,++datasets.vla_data.data_mix=cross__asterix_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__atlantis_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__deadly_corridor_mixed_024_1000ep_cross_train__lat0_2_4__1000ep__bridge__defend_the_line_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__demon_attack_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__flappy_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge,++datasets.vla_data.data_mix=cross_task_train,++datasets.vla_data.data_root_dir=/mnt/local/talha/playground/Datasets/rl_games,++datasets.vla_data.data_root_dir=playground/Datasets/rl_games,++datasets.vla_data.dataset_py=lerobot_datasets,++datasets.vla_data.eval_data_mix=cross__asterix_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__atlantis_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__deadly_corridor_mixed_024_1000ep_cross_train__lat0_2_4__1000ep__bridge__defend_the_line_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__demon_attack_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__flappy_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__val,++datasets.vla_data.eval_data_mix=null,++datasets.vla_data.eval_num_workers=8,++datasets.vla_data.eval_sequential_step_sampling=null,++datasets.vla_data.image_mode=single,++datasets.vla_data.include_state=false,++datasets.vla_data.latency_curriculum.computed_plan=null,++datasets.vla_data.latency_curriculum.enabled=false,++datasets.vla_data.latency_curriculum.eval_at_phase_end=false,++datasets.vla_data.latency_curriculum.final_equalization=true,++datasets.vla_data.latency_curriculum.latencies=null,++datasets.vla_data.latency_curriculum.new_latency_passes=1.0,++datasets.vla_data.latency_curriculum.phase_distributions=null,++datasets.vla_data.latency_curriculum.phase_steps=null,++datasets.vla_data.latency_curriculum.replay_passes=0.25,++datasets.vla_data.latency_curriculum.save_at_phase_end=false,++datasets.vla_data.latency_curriculum.step_budget_mode=auto,++datasets.vla_data.latency_curriculum.strategy=exclusive,++datasets.vla_data.latency_curriculum.target_total_passes=2.0,++datasets.vla_data.load_all_data_for_training=true,++datasets.vla_data.num_obs_frames=1,++datasets.vla_data.num_workers=8,++datasets.vla_data.obs_image_size=null,++datasets.vla_data.per_device_batch_size=32,++datasets.vla_data.persistent_workers=true,++datasets.vla_data.pin_memory=true,++datasets.vla_data.prefetch_factor=4,++datasets.vla_data.prompt_mode=raw,++datasets.vla_data.sequential_step_sampling=true,++datasets.vla_data.shuffle=true,++datasets.vla_data.stitch_grid=[2,2],++datasets.vla_data.video_backend=torchvision_av,++framework.action_model.action_dim=7,++framework.action_model.action_env_dim=7,++framework.action_model.action_horizon=1,++framework.action_model.action_layout=bridge_cross_task_7,++framework.action_model.future_action_window_size=0,++framework.action_model.loss_type=discrete_ce,++framework.action_model.past_action_window_size=0,++framework.action_model.state_dim=7,++framework.action_model.state_encoding=discretized_text,++framework.kv_memory.enabled=false,++framework.kv_memory.packed_train=false,++framework.kv_memory.rebased_sink=true,++framework.kv_memory.rollout_len=8,++framework.kv_memory.window=4,++framework.name=QwenOFT,++framework.qwenvl.attn_implementation=flash_attention_2,++framework.qwenvl.base_vlm=/mnt/local/talha/playground/Pretrained_models/Qwen3-VL-4B-Instruct,++framework.qwenvl.base_vlm=/mnt/local/talha/playground/Pretrained_models/Qwen3-VL-4B-Instruct,++framework.qwenvl.enable_gradient_checkpointing=true,++initialization.checkpoint_filename=checkpoints/steps_5000_pytorch_model.pt,++initialization.checkpoint_hf_repo_id=StarVLA/Qwen3VL-OFT-Bridge-RT-1,++initialization.checkpoint_local_dir=playground/Pretrained_models/Qwen3VL-OFT-Bridge-RT-1,++is_debug=false,++output_dir=null,++paths.accelerate_config=starVLA/config/deepseeds/deepspeed_zero2.yaml,++paths.base_model_dir=/mnt/local/talha/playground/Pretrained_models/Qwen3-VL-4B-Instruct,++paths.dataset_cache_dir=null,++paths.dataset_local_dir=/mnt/local/talha/playground/Datasets/rl_games,++paths.run_root_dir=/mnt/local/talha/results/Checkpoints,++rl_games.action_carrier=bridge,++rl_games.cross_task.eval_tasks.asterix.frameskip=4,++rl_games.cross_task.eval_tasks.asterix.image_size=224,++rl_games.cross_task.eval_tasks.asterix.mid_train.enabled=false,++rl_games.cross_task.eval_tasks.asterix.mid_train.latencies=null,++rl_games.cross_task.eval_tasks.asterix.mid_train.max_steps_per_episode=null,++rl_games.cross_task.eval_tasks.asterix.mid_train.num_episodes=null,++rl_games.cross_task.eval_tasks.asterix.post_train.enabled=false,++rl_games.cross_task.eval_tasks.asterix.post_train.latencies=null,++rl_games.cross_task.eval_tasks.asterix.post_train.max_steps_per_episode=null,++rl_games.cross_task.eval_tasks.asterix.post_train.num_episodes=null,++rl_games.cross_task.eval_tasks.asterix.prompt_map_path=null,++rl_games.cross_task.eval_tasks.asterix.task_description=null,++rl_games.cross_task.eval_tasks.atlantis.frameskip=4,++rl_games.cross_task.eval_tasks.atlantis.image_size=224,++rl_games.cross_task.eval_tasks.atlantis.mid_train.enabled=false,++rl_games.cross_task.eval_tasks.atlantis.mid_train.latencies=null,++rl_games.cross_task.eval_tasks.atlantis.mid_train.max_steps_per_episode=null,++rl_games.cross_task.eval_tasks.atlantis.mid_train.num_episodes=null,++rl_games.cross_task.eval_tasks.atlantis.post_train.enabled=false,++rl_games.cross_task.eval_tasks.atlantis.post_train.latencies=null,++rl_games.cross_task.eval_tasks.atlantis.post_train.max_steps_per_episode=null,++rl_games.cross_task.eval_tasks.atlantis.post_train.num_episodes=null,++rl_games.cross_task.eval_tasks.atlantis.prompt_map_path=null,++rl_games.cross_task.eval_tasks.atlantis.task_description=null,++rl_games.cross_task.eval_tasks.deadly_corridor.frameskip=4,++rl_games.cross_task.eval_tasks.deadly_corridor.image_size=224,++rl_games.cross_task.eval_tasks.deadly_corridor.mid_train.enabled=false,++rl_games.cross_task.eval_tasks.deadly_corridor.mid_train.latencies=[0,2,4],++rl_games.cross_task.eval_tasks.deadly_corridor.mid_train.max_steps_per_episode=3600,++rl_games.cross_task.eval_tasks.deadly_corridor.mid_train.num_episodes=5,++rl_games.cross_task.eval_tasks.deadly_corridor.post_train.enabled=true,++rl_games.cross_task.eval_tasks.deadly_corridor.post_train.latencies=[0,2,4],++rl_games.cross_task.eval_tasks.deadly_corridor.post_train.max_steps_per_episode=3600,++rl_games.cross_task.eval_tasks.deadly_corridor.post_train.num_episodes=20,++rl_games.cross_task.eval_tasks.deadly_corridor.prompt_map_path=/mnt/local/talha/playground/Datasets/rl_games/_prompt_maps/deadly_corridor_mixed_024_1000ep_cross_train__lat0_2_4__1000ep__bridge/eval_latency_prompt_map.json,++rl_games.cross_task.eval_tasks.deadly_corridor.prompt_map_path=null,++rl_games.cross_task.eval_tasks.deadly_corridor.task_description=''You
|
| 416 |
+
are playing Deadly Corridor in VizDoom. Choose actions from MOVE_FORWARD, MOVE_BACKWARD,
|
| 417 |
+
MOVE_LEFT, MOVE_RIGHT, TURN_LEFT, TURN_RIGHT, ATTACK.'',++rl_games.cross_task.eval_tasks.defend_the_line.frameskip=4,++rl_games.cross_task.eval_tasks.defend_the_line.image_size=224,++rl_games.cross_task.eval_tasks.defend_the_line.mid_train.enabled=false,++rl_games.cross_task.eval_tasks.defend_the_line.mid_train.latencies=null,++rl_games.cross_task.eval_tasks.defend_the_line.mid_train.max_steps_per_episode=null,++rl_games.cross_task.eval_tasks.defend_the_line.mid_train.num_episodes=null,++rl_games.cross_task.eval_tasks.defend_the_line.post_train.enabled=false,++rl_games.cross_task.eval_tasks.defend_the_line.post_train.latencies=null,++rl_games.cross_task.eval_tasks.defend_the_line.post_train.max_steps_per_episode=null,++rl_games.cross_task.eval_tasks.defend_the_line.post_train.num_episodes=null,++rl_games.cross_task.eval_tasks.defend_the_line.prompt_map_path=null,++rl_games.cross_task.eval_tasks.defend_the_line.task_description=null,++rl_games.cross_task.eval_tasks.demon_attack.frameskip=4,++rl_games.cross_task.eval_tasks.demon_attack.image_size=224,++rl_games.cross_task.eval_tasks.demon_attack.mid_train.enabled=false,++rl_games.cross_task.eval_tasks.demon_attack.mid_train.latencies=[0,2,4],++rl_games.cross_task.eval_tasks.demon_attack.mid_train.max_steps_per_episode=3600,++rl_games.cross_task.eval_tasks.demon_attack.mid_train.num_episodes=5,++rl_games.cross_task.eval_tasks.demon_attack.post_train.enabled=true,++rl_games.cross_task.eval_tasks.demon_attack.post_train.latencies=[0,2,4],++rl_games.cross_task.eval_tasks.demon_attack.post_train.max_steps_per_episode=3600,++rl_games.cross_task.eval_tasks.demon_attack.post_train.num_episodes=20,++rl_games.cross_task.eval_tasks.demon_attack.prompt_map_path=/mnt/local/talha/playground/Datasets/rl_games/_prompt_maps/demon_attack_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge/eval_latency_prompt_map.json,++rl_games.cross_task.eval_tasks.demon_attack.prompt_map_path=null,++rl_games.cross_task.eval_tasks.demon_attack.task_description=''You
|
| 418 |
+
are playing Demon Attack from a single game image. Choose exactly one action
|
| 419 |
+
from: NOOP, FIRE, RIGHT, LEFT, RIGHTFIRE, LEFTFIRE.'',++rl_games.cross_task.eval_tasks.flappy.frameskip=1,++rl_games.cross_task.eval_tasks.flappy.image_size=224,++rl_games.cross_task.eval_tasks.flappy.mid_train.enabled=false,++rl_games.cross_task.eval_tasks.flappy.mid_train.latencies=[0,2,4],++rl_games.cross_task.eval_tasks.flappy.mid_train.max_steps_per_episode=3600,++rl_games.cross_task.eval_tasks.flappy.mid_train.num_episodes=5,++rl_games.cross_task.eval_tasks.flappy.post_train.enabled=true,++rl_games.cross_task.eval_tasks.flappy.post_train.latencies=[0,2,4],++rl_games.cross_task.eval_tasks.flappy.post_train.max_steps_per_episode=3600,++rl_games.cross_task.eval_tasks.flappy.post_train.num_episodes=20,++rl_games.cross_task.eval_tasks.flappy.prompt_map_path=/mnt/local/talha/playground/Datasets/rl_games/_prompt_maps/flappy_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge/eval_latency_prompt_map.json,++rl_games.cross_task.eval_tasks.flappy.prompt_map_path=null,++rl_games.cross_task.eval_tasks.flappy.task_description=''You
|
| 420 |
+
are playing Flappy Bird. Pass through the pipe gaps and stay alive. Choose the
|
| 421 |
+
action: NOOP, FLAP.'',++rl_games.cross_task.loss_by_task.asterix=asterix_factorized_ce,++rl_games.cross_task.loss_by_task.atlantis=discrete_ce,++rl_games.cross_task.loss_by_task.deadly_corridor=multibinary_bce,++rl_games.cross_task.loss_by_task.defend_the_line=discrete_ce,++rl_games.cross_task.loss_by_task.demon_attack=discrete_ce,++rl_games.cross_task.loss_by_task.flappy=discrete_ce,++rl_games.cross_task.loss_weight_by_task.asterix=1.0,++rl_games.cross_task.loss_weight_by_task.atlantis=1.0,++rl_games.cross_task.loss_weight_by_task.deadly_corridor=1.0,++rl_games.cross_task.loss_weight_by_task.defend_the_line=1.0,++rl_games.cross_task.loss_weight_by_task.demon_attack=1.0,++rl_games.cross_task.loss_weight_by_task.flappy=1.0,++rl_games.cross_task.train_tasks=[{name:flappy,role:A,train_source_hf:latency-sensitive-bench/flappy_200ep,prompt_source_hf:latency-sensitive-bench/flappy_200ep,train_source_subdir:flappy_fix_latency_0_200ep,prompt_source_subdir:flappy_fix_latency_0_200ep,converted_name:flappy_mixed_024_200ep_cross_train,train_latency_filter:[0,2,4],eval_latency_filter:[0,2,4],episodes_per_latency:null,max_episodes:200,weight:1.0},{name:demon_attack,role:B,train_source_hf:latency-sensitive-bench/demon_attack_200ep,prompt_source_hf:latency-sensitive-bench/demon_attack_200ep,train_source_subdir:demon_attack_fix_latency_0_200ep,prompt_source_subdir:demon_attack_fix_latency_0_200ep,converted_name:demon_attack_mixed_024_200ep_cross_train,train_latency_filter:[0,2,4],eval_latency_filter:[0,2,4],episodes_per_latency:null,max_episodes:200,weight:1.0},{name:deadly_corridor,role:C,train_source_hf:latency-sensitive-bench/deadly_1000ep,prompt_source_hf:latency-sensitive-bench/deadly_1000ep,train_source_subdir:deadly_corridor_fix_latency_0_1000ep,prompt_source_subdir:deadly_corridor_fix_latency_0_1000ep,converted_name:deadly_corridor_mixed_024_1000ep_cross_train,train_latency_filter:[0,2,4],eval_latency_filter:[0,2,4],episodes_per_latency:null,max_episodes:1000,action_layout:multibinary_7,weight:1.0},{name:asterix,role:D,train_source_hf:latency-sensitive-bench/asterix_200ep,prompt_source_hf:latency-sensitive-bench/asterix_200ep,train_source_subdir:asterix_fixed_latency_0_200ep_7k2steps,prompt_source_subdir:asterix_fixed_latency_0_200ep_7k2steps,converted_name:asterix_mixed_024_200ep_cross_train,train_latency_filter:[0,2,4],eval_latency_filter:[0,2,4],episodes_per_latency:null,max_episodes:200,action_layout:factorized_6,weight:1.0},{name:atlantis,role:E,train_source_hf:latency-sensitive-bench/atlantis_200ep,prompt_source_hf:latency-sensitive-bench/atlantis_200ep,train_source_subdir:atlantis_fixed_latency_0_200ep_7k2steps,prompt_source_subdir:atlantis_fixed_latency_0_200ep_7k2steps,converted_name:atlantis_mixed_024_200ep_cross_train,train_latency_filter:[0,2,4],eval_latency_filter:[0,2,4],episodes_per_latency:null,max_episodes:200,weight:1.0},{name:defend_the_line,role:F,train_source_hf:latency-sensitive-bench/defend_the_line_200ep,prompt_source_hf:latency-sensitive-bench/defend_the_line_200ep,train_source_subdir:defend_the_line_fixed_latency_0_200ep_7k2steps,prompt_source_subdir:defend_the_line_fixed_latency_0_200ep_7k2steps,converted_name:defend_the_line_mixed_024_200ep_cross_train,train_latency_filter:[0,2,4],eval_latency_filter:[0,2,4],episodes_per_latency:null,max_episodes:200,weight:1.0}],++rl_games.env_eval.asterix.action_layout=factorized_6,++rl_games.env_eval.deadly.action_layout=multibinary_7,++rl_games.env_eval.deadly.multibinary_threshold=0.0,++rl_games.env_eval.distributed_mode=none,++rl_games.env_eval.enabled=true,++rl_games.env_eval.eval_backend=eval_core,++rl_games.env_eval.frameskip=1,++rl_games.env_eval.image_size=224,++rl_games.env_eval.latency.mode=mixed,++rl_games.env_eval.latency.prompt_map_path=null,++rl_games.env_eval.latency.values=[0,1,2,3,4,5],++rl_games.env_eval.mid_train.enabled=false,++rl_games.env_eval.mid_train.interval_steps=1000,++rl_games.env_eval.mid_train.latencies=[0,1,2,3,4,5],++rl_games.env_eval.mid_train.max_steps_per_episode=3600,++rl_games.env_eval.mid_train.num_episodes=5,++rl_games.env_eval.post_train.enabled=true,++rl_games.env_eval.post_train.latencies=[0,2,4],++rl_games.env_eval.post_train.latencies_from_prompt_map=false,++rl_games.env_eval.post_train.max_steps_per_episode=3600,++rl_games.env_eval.post_train.num_episodes=5,++rl_games.env_eval.vectorized.batch_size=1,++rl_games.env_eval.vectorized.enabled=false,++rl_games.initialization_mode=bridge,++rl_games.model_alias=openvla,++rl_games.task=cross_task,++run_id=openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1,++run_root_dir=/mnt/local/talha/results/Checkpoints,++run_root_dir=results/Checkpoints,++seed=42,++trainer.cc_f1_tolerance=1,++trainer.distributed_backend=none,++trainer.eval_action_classification=true,++trainer.eval_action_classification_interval=null,++trainer.eval_interval=15000,++trainer.eval_num_batches=100,++trainer.freeze_llm_layers=[],++trainer.freeze_modules=,++trainer.freeze_tied_embedding=false,++trainer.freeze_vit=false,++trainer.gradient_accumulation_steps=8,++trainer.gradient_clipping=1.0,++trainer.is_resume=false,++trainer.is_resume=false,++trainer.learning_rate.action_model=0.0001,++trainer.learning_rate.base=2e-05,++trainer.learning_rate.qwen_vl_interface=1e-05,++trainer.logging_frequency=1,++trainer.loss_scale.vla=1.0,++trainer.loss_scale.vlm=0.1,++trainer.lr_scheduler_type=cosine_with_min_lr,++trainer.max_grad_norm=1.0,++trainer.max_train_steps=15000,++trainer.num_warmup_steps=0,++trainer.optimizer.betas=[0.9,0.95],++trainer.optimizer.eps=1e-08,++trainer.optimizer.fused=true,++trainer.optimizer.name=AdamW,++trainer.optimizer.weight_decay=1e-08,++trainer.per_latency_eval_num_batches=5,++trainer.pretrained_checkpoint=/mnt/local/talha/results/Checkpoints/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1/checkpoints/_initialization/StarVLA_Qwen3VL-OFT-Bridge-RT-1/checkpoints/steps_5000_pytorch_model.pt,++trainer.pretrained_checkpoint=null,++trainer.profile_timing.enabled=false,++trainer.profile_timing.log_interval=10,++trainer.reload_modules=null,++trainer.resume_step=0,++trainer.resume_step=0,++trainer.save_format=pt,++trainer.save_interval=15000,++trainer.scheduler_specific_kwargs.min_lr=1e-06,++trainer.weight_decay=0.0,++training_latency_condition=rtx3090_profile,++version_id=0.21,++wandb_group=final_vla_profiling_training,++wandb_tags=[final_vla_profiling_training,demon_attack,openvla,rtx3090_profile],++workspace_dir=/mnt/local/talha,env=cross_task,init=bridge,mode=cross_task,model=openvla'
|
| 422 |
+
id: ???
|
| 423 |
+
num: ???
|
| 424 |
+
config_name: train
|
| 425 |
+
env_set: {}
|
| 426 |
+
env_copy: []
|
| 427 |
+
config:
|
| 428 |
+
override_dirname:
|
| 429 |
+
kv_sep: '='
|
| 430 |
+
item_sep: ','
|
| 431 |
+
exclude_keys: []
|
| 432 |
+
runtime:
|
| 433 |
+
version: 1.3.7
|
| 434 |
+
version_base: '1.1'
|
| 435 |
+
cwd: /home/ubuntu/talha/starVLA
|
| 436 |
+
config_sources:
|
| 437 |
+
- path: hydra.conf
|
| 438 |
+
schema: pkg
|
| 439 |
+
provider: hydra
|
| 440 |
+
- path: /home/ubuntu/talha/starVLA/examples/rl_games/config
|
| 441 |
+
schema: file
|
| 442 |
+
provider: main
|
| 443 |
+
- path: ''
|
| 444 |
+
schema: structured
|
| 445 |
+
provider: schema
|
| 446 |
+
output_dir: /mnt/local/talha/results/Checkpoints/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1/hydra
|
| 447 |
+
choices:
|
| 448 |
+
cross_task_setup: null
|
| 449 |
+
checkpoint: default
|
| 450 |
+
mode: cross_task
|
| 451 |
+
init: bridge
|
| 452 |
+
env: cross_task
|
| 453 |
+
model: openvla
|
| 454 |
+
hydra/env: default
|
| 455 |
+
hydra/callbacks: null
|
| 456 |
+
hydra/job_logging: default
|
| 457 |
+
hydra/hydra_logging: default
|
| 458 |
+
hydra/hydra_help: default
|
| 459 |
+
hydra/help: default
|
| 460 |
+
hydra/sweeper: basic
|
| 461 |
+
hydra/launcher: basic
|
| 462 |
+
hydra/output: default
|
| 463 |
+
verbose: false
|
archive/task-transfer/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1/hydra/.hydra/overrides.yaml
ADDED
|
@@ -0,0 +1,296 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- model=openvla
|
| 2 |
+
- env=cross_task
|
| 3 |
+
- init=bridge
|
| 4 |
+
- mode=cross_task
|
| 5 |
+
- ++framework.qwenvl.base_vlm=/mnt/local/talha/playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 6 |
+
- ++framework.qwenvl.attn_implementation=flash_attention_2
|
| 7 |
+
- ++framework.qwenvl.enable_gradient_checkpointing=true
|
| 8 |
+
- ++framework.action_model.state_dim=7
|
| 9 |
+
- ++framework.action_model.loss_type=discrete_ce
|
| 10 |
+
- ++framework.action_model.action_horizon=1
|
| 11 |
+
- ++framework.action_model.future_action_window_size=0
|
| 12 |
+
- ++framework.action_model.past_action_window_size=0
|
| 13 |
+
- ++framework.action_model.action_dim=7
|
| 14 |
+
- ++framework.action_model.action_env_dim=7
|
| 15 |
+
- ++framework.action_model.state_encoding=discretized_text
|
| 16 |
+
- ++framework.action_model.action_layout=bridge_cross_task_7
|
| 17 |
+
- ++framework.kv_memory.enabled=false
|
| 18 |
+
- ++framework.kv_memory.window=4
|
| 19 |
+
- ++framework.kv_memory.rollout_len=8
|
| 20 |
+
- ++framework.kv_memory.packed_train=false
|
| 21 |
+
- ++framework.kv_memory.rebased_sink=true
|
| 22 |
+
- ++framework.name=QwenOFT
|
| 23 |
+
- ++datasets.vla_data.dataset_py=lerobot_datasets
|
| 24 |
+
- ++datasets.vla_data.include_state=false
|
| 25 |
+
- ++datasets.vla_data.data_root_dir=playground/Datasets/rl_games
|
| 26 |
+
- ++datasets.vla_data.data_mix=cross_task_train
|
| 27 |
+
- ++datasets.vla_data.eval_data_mix=null
|
| 28 |
+
- ++datasets.vla_data.custom_mixtures_path=null
|
| 29 |
+
- ++datasets.vla_data.action_type=discrete
|
| 30 |
+
- ++datasets.vla_data.sequential_step_sampling=true
|
| 31 |
+
- ++datasets.vla_data.eval_sequential_step_sampling=null
|
| 32 |
+
- ++datasets.vla_data.num_workers=8
|
| 33 |
+
- ++datasets.vla_data.eval_num_workers=8
|
| 34 |
+
- ++datasets.vla_data.prefetch_factor=4
|
| 35 |
+
- ++datasets.vla_data.persistent_workers=true
|
| 36 |
+
- ++datasets.vla_data.pin_memory=true
|
| 37 |
+
- ++datasets.vla_data.shuffle=true
|
| 38 |
+
- ++datasets.vla_data.action_balance.enabled=false
|
| 39 |
+
- ++datasets.vla_data.action_balance.strategy=balanced_epoch
|
| 40 |
+
- ++datasets.vla_data.action_balance.action_key=action_id
|
| 41 |
+
- ++datasets.vla_data.action_balance.target_flap_fraction=0.3
|
| 42 |
+
- ++datasets.vla_data.action_balance.noop_id=0
|
| 43 |
+
- ++datasets.vla_data.action_balance.flap_id=1
|
| 44 |
+
- ++datasets.vla_data.latency_curriculum.enabled=false
|
| 45 |
+
- ++datasets.vla_data.latency_curriculum.strategy=exclusive
|
| 46 |
+
- ++datasets.vla_data.latency_curriculum.latencies=null
|
| 47 |
+
- ++datasets.vla_data.latency_curriculum.phase_steps=null
|
| 48 |
+
- ++datasets.vla_data.latency_curriculum.phase_distributions=null
|
| 49 |
+
- ++datasets.vla_data.latency_curriculum.new_latency_passes=1.0
|
| 50 |
+
- ++datasets.vla_data.latency_curriculum.replay_passes=0.25
|
| 51 |
+
- ++datasets.vla_data.latency_curriculum.target_total_passes=2.0
|
| 52 |
+
- ++datasets.vla_data.latency_curriculum.final_equalization=true
|
| 53 |
+
- ++datasets.vla_data.latency_curriculum.step_budget_mode=auto
|
| 54 |
+
- ++datasets.vla_data.latency_curriculum.eval_at_phase_end=false
|
| 55 |
+
- ++datasets.vla_data.latency_curriculum.save_at_phase_end=false
|
| 56 |
+
- ++datasets.vla_data.latency_curriculum.computed_plan=null
|
| 57 |
+
- ++datasets.vla_data.per_device_batch_size=32
|
| 58 |
+
- ++datasets.vla_data.load_all_data_for_training=true
|
| 59 |
+
- ++datasets.vla_data.num_obs_frames=1
|
| 60 |
+
- ++datasets.vla_data.image_mode=single
|
| 61 |
+
- ++datasets.vla_data.prompt_mode=raw
|
| 62 |
+
- ++datasets.vla_data.stitch_grid=[2,2]
|
| 63 |
+
- ++datasets.vla_data.obs_image_size=null
|
| 64 |
+
- ++datasets.vla_data.video_backend=torchvision_av
|
| 65 |
+
- ++dataset.source_hf=
|
| 66 |
+
- ++dataset.config_name=null
|
| 67 |
+
- ++dataset.source_subdir=null
|
| 68 |
+
- ++dataset.converted_name=cross_task_train
|
| 69 |
+
- ++dataset.single_source_hf=
|
| 70 |
+
- ++dataset.mixed_source_hf=
|
| 71 |
+
- ++dataset.single_converted_name=flappy_train
|
| 72 |
+
- ++dataset.mixed_converted_name=flappy_mixed_latency_train
|
| 73 |
+
- ++dataset.single_latency_filter=null
|
| 74 |
+
- ++dataset.mixed_latency_filter=null
|
| 75 |
+
- ++dataset.force_download=false
|
| 76 |
+
- ++dataset.setup_force=false
|
| 77 |
+
- ++dataset.skip_verification=false
|
| 78 |
+
- ++dataset.target_latency_unit=observation_steps
|
| 79 |
+
- ++dataset.verify_rows=200
|
| 80 |
+
- ++dataset.max_episodes=null
|
| 81 |
+
- ++dataset.episodes_per_latency=null
|
| 82 |
+
- ++dataset.latency_filter=null
|
| 83 |
+
- ++dataset.debug_subset.enabled=false
|
| 84 |
+
- ++dataset.debug_subset.max_episodes=5
|
| 85 |
+
- ++dataset.debug_subset.suffix=debug
|
| 86 |
+
- ++base_model.repo_id=Qwen/Qwen3-VL-4B-Instruct
|
| 87 |
+
- ++initialization.checkpoint_local_dir=playground/Pretrained_models/Qwen3VL-OFT-Bridge-RT-1
|
| 88 |
+
- ++initialization.checkpoint_hf_repo_id=StarVLA/Qwen3VL-OFT-Bridge-RT-1
|
| 89 |
+
- ++initialization.checkpoint_filename=checkpoints/steps_5000_pytorch_model.pt
|
| 90 |
+
- ++trainer.max_train_steps=15000
|
| 91 |
+
- ++trainer.num_warmup_steps=0
|
| 92 |
+
- ++trainer.save_interval=15000
|
| 93 |
+
- ++trainer.eval_interval=15000
|
| 94 |
+
- ++trainer.eval_num_batches=100
|
| 95 |
+
- ++trainer.per_latency_eval_num_batches=5
|
| 96 |
+
- ++trainer.eval_action_classification=true
|
| 97 |
+
- ++trainer.eval_action_classification_interval=null
|
| 98 |
+
- ++trainer.cc_f1_tolerance=1
|
| 99 |
+
- ++trainer.learning_rate.base=2e-05
|
| 100 |
+
- ++trainer.learning_rate.qwen_vl_interface=1e-05
|
| 101 |
+
- ++trainer.learning_rate.action_model=0.0001
|
| 102 |
+
- ++trainer.lr_scheduler_type=cosine_with_min_lr
|
| 103 |
+
- ++trainer.scheduler_specific_kwargs.min_lr=1e-06
|
| 104 |
+
- ++trainer.freeze_modules=
|
| 105 |
+
- ++trainer.freeze_vit=false
|
| 106 |
+
- ++trainer.freeze_tied_embedding=false
|
| 107 |
+
- ++trainer.freeze_llm_layers=[]
|
| 108 |
+
- ++trainer.loss_scale.vla=1.0
|
| 109 |
+
- ++trainer.loss_scale.vlm=0.1
|
| 110 |
+
- ++trainer.max_grad_norm=1.0
|
| 111 |
+
- ++trainer.weight_decay=0.0
|
| 112 |
+
- ++trainer.logging_frequency=1
|
| 113 |
+
- ++trainer.profile_timing.enabled=false
|
| 114 |
+
- ++trainer.profile_timing.log_interval=10
|
| 115 |
+
- ++trainer.gradient_clipping=1.0
|
| 116 |
+
- ++trainer.gradient_accumulation_steps=8
|
| 117 |
+
- ++trainer.distributed_backend=none
|
| 118 |
+
- ++trainer.is_resume=false
|
| 119 |
+
- ++trainer.pretrained_checkpoint=null
|
| 120 |
+
- ++trainer.resume_step=0
|
| 121 |
+
- ++trainer.reload_modules=null
|
| 122 |
+
- ++trainer.optimizer.name=AdamW
|
| 123 |
+
- ++trainer.optimizer.betas=[0.9,0.95]
|
| 124 |
+
- ++trainer.optimizer.eps=1e-08
|
| 125 |
+
- ++trainer.optimizer.weight_decay=1e-08
|
| 126 |
+
- ++trainer.optimizer.fused=true
|
| 127 |
+
- ++trainer.save_format=pt
|
| 128 |
+
- ++workspace_dir=/mnt/local/talha
|
| 129 |
+
- ++run_root_dir=results/Checkpoints
|
| 130 |
+
- ++seed=42
|
| 131 |
+
- ++auth.env_file=null
|
| 132 |
+
- ++auth.hf_token_env=HF_TOKEN
|
| 133 |
+
- ++auth.wandb_api_key_env=WANDB_API_KEY
|
| 134 |
+
- ++paths.run_root_dir=/mnt/local/talha/results/Checkpoints
|
| 135 |
+
- ++paths.dataset_local_dir=/mnt/local/talha/playground/Datasets/rl_games
|
| 136 |
+
- ++paths.dataset_cache_dir=null
|
| 137 |
+
- ++paths.base_model_dir=/mnt/local/talha/playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 138 |
+
- ++paths.accelerate_config=starVLA/config/deepseeds/deepspeed_zero2.yaml
|
| 139 |
+
- ++rl_games.model_alias=openvla
|
| 140 |
+
- ++rl_games.task=cross_task
|
| 141 |
+
- ++rl_games.env_eval.image_size=224
|
| 142 |
+
- ++rl_games.env_eval.frameskip=1
|
| 143 |
+
- ++rl_games.env_eval.deadly.action_layout=multibinary_7
|
| 144 |
+
- ++rl_games.env_eval.deadly.multibinary_threshold=0.0
|
| 145 |
+
- ++rl_games.env_eval.enabled=true
|
| 146 |
+
- ++rl_games.env_eval.eval_backend=eval_core
|
| 147 |
+
- ++rl_games.env_eval.distributed_mode=none
|
| 148 |
+
- ++rl_games.env_eval.vectorized.enabled=false
|
| 149 |
+
- ++rl_games.env_eval.vectorized.batch_size=1
|
| 150 |
+
- ++rl_games.env_eval.latency.prompt_map_path=null
|
| 151 |
+
- ++rl_games.env_eval.latency.mode=mixed
|
| 152 |
+
- ++rl_games.env_eval.latency.values=[0,1,2,3,4,5]
|
| 153 |
+
- ++rl_games.env_eval.mid_train.enabled=false
|
| 154 |
+
- ++rl_games.env_eval.mid_train.interval_steps=1000
|
| 155 |
+
- ++rl_games.env_eval.mid_train.latencies=[0,1,2,3,4,5]
|
| 156 |
+
- ++rl_games.env_eval.mid_train.num_episodes=5
|
| 157 |
+
- ++rl_games.env_eval.mid_train.max_steps_per_episode=3600
|
| 158 |
+
- ++rl_games.env_eval.post_train.enabled=true
|
| 159 |
+
- ++rl_games.env_eval.post_train.latencies=[0,2,4]
|
| 160 |
+
- ++rl_games.env_eval.post_train.latencies_from_prompt_map=false
|
| 161 |
+
- ++rl_games.env_eval.post_train.num_episodes=5
|
| 162 |
+
- ++rl_games.env_eval.post_train.max_steps_per_episode=3600
|
| 163 |
+
- ++rl_games.env_eval.asterix.action_layout=factorized_6
|
| 164 |
+
- ++rl_games.cross_task.train_tasks=[{name:flappy,role:A,train_source_hf:latency-sensitive-bench/flappy_200ep,prompt_source_hf:latency-sensitive-bench/flappy_200ep,train_source_subdir:flappy_fix_latency_0_200ep,prompt_source_subdir:flappy_fix_latency_0_200ep,converted_name:flappy_mixed_024_200ep_cross_train,train_latency_filter:[0,2,4],eval_latency_filter:[0,2,4],episodes_per_latency:null,max_episodes:200,weight:1.0},{name:demon_attack,role:B,train_source_hf:latency-sensitive-bench/demon_attack_200ep,prompt_source_hf:latency-sensitive-bench/demon_attack_200ep,train_source_subdir:demon_attack_fix_latency_0_200ep,prompt_source_subdir:demon_attack_fix_latency_0_200ep,converted_name:demon_attack_mixed_024_200ep_cross_train,train_latency_filter:[0,2,4],eval_latency_filter:[0,2,4],episodes_per_latency:null,max_episodes:200,weight:1.0},{name:deadly_corridor,role:C,train_source_hf:latency-sensitive-bench/deadly_1000ep,prompt_source_hf:latency-sensitive-bench/deadly_1000ep,train_source_subdir:deadly_corridor_fix_latency_0_1000ep,prompt_source_subdir:deadly_corridor_fix_latency_0_1000ep,converted_name:deadly_corridor_mixed_024_1000ep_cross_train,train_latency_filter:[0,2,4],eval_latency_filter:[0,2,4],episodes_per_latency:null,max_episodes:1000,action_layout:multibinary_7,weight:1.0},{name:asterix,role:D,train_source_hf:latency-sensitive-bench/asterix_200ep,prompt_source_hf:latency-sensitive-bench/asterix_200ep,train_source_subdir:asterix_fixed_latency_0_200ep_7k2steps,prompt_source_subdir:asterix_fixed_latency_0_200ep_7k2steps,converted_name:asterix_mixed_024_200ep_cross_train,train_latency_filter:[0,2,4],eval_latency_filter:[0,2,4],episodes_per_latency:null,max_episodes:200,action_layout:factorized_6,weight:1.0},{name:atlantis,role:E,train_source_hf:latency-sensitive-bench/atlantis_200ep,prompt_source_hf:latency-sensitive-bench/atlantis_200ep,train_source_subdir:atlantis_fixed_latency_0_200ep_7k2steps,prompt_source_subdir:atlantis_fixed_latency_0_200ep_7k2steps,converted_name:atlantis_mixed_024_200ep_cross_train,train_latency_filter:[0,2,4],eval_latency_filter:[0,2,4],episodes_per_latency:null,max_episodes:200,weight:1.0},{name:defend_the_line,role:F,train_source_hf:latency-sensitive-bench/defend_the_line_200ep,prompt_source_hf:latency-sensitive-bench/defend_the_line_200ep,train_source_subdir:defend_the_line_fixed_latency_0_200ep_7k2steps,prompt_source_subdir:defend_the_line_fixed_latency_0_200ep_7k2steps,converted_name:defend_the_line_mixed_024_200ep_cross_train,train_latency_filter:[0,2,4],eval_latency_filter:[0,2,4],episodes_per_latency:null,max_episodes:200,weight:1.0}]
|
| 165 |
+
- ++rl_games.cross_task.loss_by_task.flappy=discrete_ce
|
| 166 |
+
- ++rl_games.cross_task.loss_by_task.demon_attack=discrete_ce
|
| 167 |
+
- ++rl_games.cross_task.loss_by_task.defend_the_line=discrete_ce
|
| 168 |
+
- ++rl_games.cross_task.loss_by_task.deadly_corridor=multibinary_bce
|
| 169 |
+
- ++rl_games.cross_task.loss_by_task.asterix=asterix_factorized_ce
|
| 170 |
+
- ++rl_games.cross_task.loss_by_task.atlantis=discrete_ce
|
| 171 |
+
- ++rl_games.cross_task.loss_weight_by_task.flappy=1.0
|
| 172 |
+
- ++rl_games.cross_task.loss_weight_by_task.demon_attack=1.0
|
| 173 |
+
- ++rl_games.cross_task.loss_weight_by_task.defend_the_line=1.0
|
| 174 |
+
- ++rl_games.cross_task.loss_weight_by_task.deadly_corridor=1.0
|
| 175 |
+
- ++rl_games.cross_task.loss_weight_by_task.asterix=1.0
|
| 176 |
+
- ++rl_games.cross_task.loss_weight_by_task.atlantis=1.0
|
| 177 |
+
- ++rl_games.cross_task.eval_tasks.flappy.prompt_map_path=null
|
| 178 |
+
- ++rl_games.cross_task.eval_tasks.flappy.frameskip=1
|
| 179 |
+
- ++rl_games.cross_task.eval_tasks.flappy.image_size=224
|
| 180 |
+
- '++rl_games.cross_task.eval_tasks.flappy.task_description=''You are playing Flappy
|
| 181 |
+
Bird. Pass through the pipe gaps and stay alive. Choose the action: NOOP, FLAP.'''
|
| 182 |
+
- ++rl_games.cross_task.eval_tasks.flappy.mid_train.enabled=false
|
| 183 |
+
- ++rl_games.cross_task.eval_tasks.flappy.mid_train.latencies=[0,2,4]
|
| 184 |
+
- ++rl_games.cross_task.eval_tasks.flappy.mid_train.num_episodes=5
|
| 185 |
+
- ++rl_games.cross_task.eval_tasks.flappy.mid_train.max_steps_per_episode=3600
|
| 186 |
+
- ++rl_games.cross_task.eval_tasks.flappy.post_train.enabled=true
|
| 187 |
+
- ++rl_games.cross_task.eval_tasks.flappy.post_train.latencies=[0,2,4]
|
| 188 |
+
- ++rl_games.cross_task.eval_tasks.flappy.post_train.num_episodes=20
|
| 189 |
+
- ++rl_games.cross_task.eval_tasks.flappy.post_train.max_steps_per_episode=3600
|
| 190 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.prompt_map_path=null
|
| 191 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.frameskip=4
|
| 192 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.image_size=224
|
| 193 |
+
- '++rl_games.cross_task.eval_tasks.demon_attack.task_description=''You are playing
|
| 194 |
+
Demon Attack from a single game image. Choose exactly one action from: NOOP, FIRE,
|
| 195 |
+
RIGHT, LEFT, RIGHTFIRE, LEFTFIRE.'''
|
| 196 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.mid_train.enabled=false
|
| 197 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.mid_train.latencies=[0,2,4]
|
| 198 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.mid_train.num_episodes=5
|
| 199 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.mid_train.max_steps_per_episode=3600
|
| 200 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.post_train.enabled=true
|
| 201 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.post_train.latencies=[0,2,4]
|
| 202 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.post_train.num_episodes=20
|
| 203 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.post_train.max_steps_per_episode=3600
|
| 204 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.prompt_map_path=null
|
| 205 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.frameskip=4
|
| 206 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.image_size=224
|
| 207 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.task_description=null
|
| 208 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.mid_train.enabled=false
|
| 209 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.mid_train.latencies=null
|
| 210 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.mid_train.num_episodes=null
|
| 211 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.mid_train.max_steps_per_episode=null
|
| 212 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.post_train.enabled=false
|
| 213 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.post_train.latencies=null
|
| 214 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.post_train.num_episodes=null
|
| 215 |
+
- ++rl_games.cross_task.eval_tasks.defend_the_line.post_train.max_steps_per_episode=null
|
| 216 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.prompt_map_path=null
|
| 217 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.frameskip=4
|
| 218 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.image_size=224
|
| 219 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.task_description='You are playing
|
| 220 |
+
Deadly Corridor in VizDoom. Choose actions from MOVE_FORWARD, MOVE_BACKWARD, MOVE_LEFT,
|
| 221 |
+
MOVE_RIGHT, TURN_LEFT, TURN_RIGHT, ATTACK.'
|
| 222 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.mid_train.enabled=false
|
| 223 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.mid_train.latencies=[0,2,4]
|
| 224 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.mid_train.num_episodes=5
|
| 225 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.mid_train.max_steps_per_episode=3600
|
| 226 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.post_train.enabled=true
|
| 227 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.post_train.latencies=[0,2,4]
|
| 228 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.post_train.num_episodes=20
|
| 229 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.post_train.max_steps_per_episode=3600
|
| 230 |
+
- ++rl_games.cross_task.eval_tasks.asterix.prompt_map_path=null
|
| 231 |
+
- ++rl_games.cross_task.eval_tasks.asterix.frameskip=4
|
| 232 |
+
- ++rl_games.cross_task.eval_tasks.asterix.image_size=224
|
| 233 |
+
- ++rl_games.cross_task.eval_tasks.asterix.task_description=null
|
| 234 |
+
- ++rl_games.cross_task.eval_tasks.asterix.mid_train.enabled=false
|
| 235 |
+
- ++rl_games.cross_task.eval_tasks.asterix.mid_train.latencies=null
|
| 236 |
+
- ++rl_games.cross_task.eval_tasks.asterix.mid_train.num_episodes=null
|
| 237 |
+
- ++rl_games.cross_task.eval_tasks.asterix.mid_train.max_steps_per_episode=null
|
| 238 |
+
- ++rl_games.cross_task.eval_tasks.asterix.post_train.enabled=false
|
| 239 |
+
- ++rl_games.cross_task.eval_tasks.asterix.post_train.latencies=null
|
| 240 |
+
- ++rl_games.cross_task.eval_tasks.asterix.post_train.num_episodes=null
|
| 241 |
+
- ++rl_games.cross_task.eval_tasks.asterix.post_train.max_steps_per_episode=null
|
| 242 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.prompt_map_path=null
|
| 243 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.frameskip=4
|
| 244 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.image_size=224
|
| 245 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.task_description=null
|
| 246 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.mid_train.enabled=false
|
| 247 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.mid_train.latencies=null
|
| 248 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.mid_train.num_episodes=null
|
| 249 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.mid_train.max_steps_per_episode=null
|
| 250 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.post_train.enabled=false
|
| 251 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.post_train.latencies=null
|
| 252 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.post_train.num_episodes=null
|
| 253 |
+
- ++rl_games.cross_task.eval_tasks.atlantis.post_train.max_steps_per_episode=null
|
| 254 |
+
- ++rl_games.initialization_mode=bridge
|
| 255 |
+
- ++rl_games.action_carrier=bridge
|
| 256 |
+
- ++bridge_base_model.repo_id.openvla=Qwen/Qwen3-VL-4B-Instruct
|
| 257 |
+
- ++bridge_base_model.repo_id.pi0=StarVLA/Qwen2.5-VL-3B-Instruct-Action
|
| 258 |
+
- ++bridge_base_model.repo_id.pi05=Qwen/Qwen3-VL-4B-Instruct
|
| 259 |
+
- ++bridge_base_model.repo_id.gr00t=Qwen/Qwen3-VL-4B-Instruct
|
| 260 |
+
- ++bridge_base_model.local_dir.openvla=playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 261 |
+
- ++bridge_base_model.local_dir.pi0=playground/Pretrained_models/Qwen2.5-VL-3B-Instruct-Action
|
| 262 |
+
- ++bridge_base_model.local_dir.pi05=playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 263 |
+
- ++bridge_base_model.local_dir.gr00t=playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 264 |
+
- ++checkpoint.load=auto
|
| 265 |
+
- ++checkpoint.hf_repo_id=latency-sensitive-bench/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1
|
| 266 |
+
- ++checkpoint.save_best_model=false
|
| 267 |
+
- ++checkpoint.save_final_model=true
|
| 268 |
+
- ++checkpoint.save_pt_file=false
|
| 269 |
+
- ++checkpoint.save_training_state=true
|
| 270 |
+
- ++checkpoint.save_safetensors_file=false
|
| 271 |
+
- ++checkpoint.local.keep_last_n=1
|
| 272 |
+
- ++checkpoint.sync.enabled=true
|
| 273 |
+
- ++checkpoint.sync.repo_id=latency-sensitive-bench/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1
|
| 274 |
+
- ++checkpoint.sync.keep_last_n=0
|
| 275 |
+
- ++checkpoint.sync.sync_every_n_checkpoints=1
|
| 276 |
+
- ++checkpoint.sync.resume_policy=local_latest
|
| 277 |
+
- ++run_id=openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1
|
| 278 |
+
- ++output_dir=null
|
| 279 |
+
- ++config_yaml=null
|
| 280 |
+
- ++is_debug=false
|
| 281 |
+
- ++version_id=0.21
|
| 282 |
+
- ++wandb_tags=[final_vla_profiling_training,demon_attack,openvla,rtx3090_profile]
|
| 283 |
+
- ++training_latency_condition=rtx3090_profile
|
| 284 |
+
- ++wandb_group=final_vla_profiling_training
|
| 285 |
+
- ++run_root_dir=/mnt/local/talha/results/Checkpoints
|
| 286 |
+
- ++trainer.is_resume=false
|
| 287 |
+
- ++trainer.pretrained_checkpoint=/mnt/local/talha/results/Checkpoints/openvla_bridge_cross_mixed_all_024_5env200ep_deadly1000ep_exp1/checkpoints/_initialization/StarVLA_Qwen3VL-OFT-Bridge-RT-1/checkpoints/steps_5000_pytorch_model.pt
|
| 288 |
+
- ++trainer.resume_step=0
|
| 289 |
+
- ++datasets.vla_data.data_root_dir=/mnt/local/talha/playground/Datasets/rl_games
|
| 290 |
+
- ++datasets.vla_data.data_mix=cross__asterix_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__atlantis_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__deadly_corridor_mixed_024_1000ep_cross_train__lat0_2_4__1000ep__bridge__defend_the_line_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__demon_attack_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__flappy_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge
|
| 291 |
+
- ++datasets.vla_data.eval_data_mix=cross__asterix_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__atlantis_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__deadly_corridor_mixed_024_1000ep_cross_train__lat0_2_4__1000ep__bridge__defend_the_line_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__demon_attack_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__flappy_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge__val
|
| 292 |
+
- ++datasets.vla_data.custom_mixtures_path=/mnt/local/talha/playground/Datasets/rl_games/_generated_mixtures/cross_09b5517c91a12cca.json
|
| 293 |
+
- ++framework.qwenvl.base_vlm=/mnt/local/talha/playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 294 |
+
- ++rl_games.cross_task.eval_tasks.flappy.prompt_map_path=/mnt/local/talha/playground/Datasets/rl_games/_prompt_maps/flappy_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge/eval_latency_prompt_map.json
|
| 295 |
+
- ++rl_games.cross_task.eval_tasks.demon_attack.prompt_map_path=/mnt/local/talha/playground/Datasets/rl_games/_prompt_maps/demon_attack_mixed_024_200ep_cross_train__lat0_2_4__200ep__bridge/eval_latency_prompt_map.json
|
| 296 |
+
- ++rl_games.cross_task.eval_tasks.deadly_corridor.prompt_map_path=/mnt/local/talha/playground/Datasets/rl_games/_prompt_maps/deadly_corridor_mixed_024_1000ep_cross_train__lat0_2_4__1000ep__bridge/eval_latency_prompt_map.json
|
latency-aware/demon-attack/vla/starvla-qwenoft-h1/openvla_bridge_demon_attack_latency_mixed_024_exp1/checkpoints/steps_5000_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dc6f0c52cfc33ea2ae7d7c382abe762561693936045464b1c160b1d9fdf0f501
|
| 3 |
+
size 9138230516
|