add lafm_vla_flow_neo2b_fulllayer_libero_fullft_m323_flft0815r/config.yaml
Browse files
lafm_vla_flow_neo2b_fulllayer_libero_fullft_m323_flft0815r/config.yaml
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| 1 |
+
output_dir: /mnt/afs/multimodal_data/fanweichen/experiments
|
| 2 |
+
train_split: 0.9
|
| 3 |
+
img_size: 224
|
| 4 |
+
patch_size: 14
|
| 5 |
+
encoder_scale: tiny
|
| 6 |
+
dump_object: true
|
| 7 |
+
num_workers: 8
|
| 8 |
+
seed: 42
|
| 9 |
+
log_every: 20
|
| 10 |
+
trainer:
|
| 11 |
+
max_epochs: 1
|
| 12 |
+
max_steps: 30000
|
| 13 |
+
devices: auto
|
| 14 |
+
accelerator: gpu
|
| 15 |
+
strategy: ddp
|
| 16 |
+
precision: bf16
|
| 17 |
+
gradient_accumulation_steps: 4
|
| 18 |
+
gradient_clip_val: 1.0
|
| 19 |
+
save_every: 2500
|
| 20 |
+
save_final: true
|
| 21 |
+
overfit_first_batch: false
|
| 22 |
+
num_sanity_val_steps: 0
|
| 23 |
+
sync_batchnorm: false
|
| 24 |
+
loader:
|
| 25 |
+
batch_size: 8
|
| 26 |
+
num_workers: 8
|
| 27 |
+
persistent_workers: true
|
| 28 |
+
prefetch_factor: 4
|
| 29 |
+
pin_memory: true
|
| 30 |
+
optimizer:
|
| 31 |
+
type: AdamW
|
| 32 |
+
lr: ${learning_rate}
|
| 33 |
+
weight_decay: ${weight_decay}
|
| 34 |
+
wandb:
|
| 35 |
+
enabled: false
|
| 36 |
+
config:
|
| 37 |
+
entity: weepies
|
| 38 |
+
project: lewm
|
| 39 |
+
name: ${output_model_name}
|
| 40 |
+
id: ${subdir}
|
| 41 |
+
resume: allow
|
| 42 |
+
log_model: false
|
| 43 |
+
wm:
|
| 44 |
+
history_size: 1
|
| 45 |
+
num_preds: 8
|
| 46 |
+
embed_dim: 2048
|
| 47 |
+
type: lafm_vla_flow
|
| 48 |
+
action_dim: 7
|
| 49 |
+
proprio_dim: 8
|
| 50 |
+
data:
|
| 51 |
+
train:
|
| 52 |
+
_target_: data.lerobot.robot_video_dataset.RobotVideoDataset
|
| 53 |
+
dataset_dirs:
|
| 54 |
+
- downloads/FastWAM/data/libero_m323_rs141_256/libero_spatial_no_noops_lerobot
|
| 55 |
+
- downloads/FastWAM/data/libero_m323_rs141_256/libero_object_no_noops_lerobot
|
| 56 |
+
- downloads/FastWAM/data/libero_m323_rs141_256/libero_goal_no_noops_lerobot
|
| 57 |
+
- downloads/FastWAM/data/libero_m323_rs141_256/libero_10_no_noops_lerobot
|
| 58 |
+
shape_meta:
|
| 59 |
+
images:
|
| 60 |
+
- key: image
|
| 61 |
+
raw_shape:
|
| 62 |
+
- 3
|
| 63 |
+
- 256
|
| 64 |
+
- 256
|
| 65 |
+
shape:
|
| 66 |
+
- 3
|
| 67 |
+
- 256
|
| 68 |
+
- 256
|
| 69 |
+
- key: wrist_image
|
| 70 |
+
raw_shape:
|
| 71 |
+
- 3
|
| 72 |
+
- 256
|
| 73 |
+
- 256
|
| 74 |
+
shape:
|
| 75 |
+
- 3
|
| 76 |
+
- 256
|
| 77 |
+
- 256
|
| 78 |
+
action:
|
| 79 |
+
- key: default
|
| 80 |
+
raw_shape: 7
|
| 81 |
+
shape: 7
|
| 82 |
+
state:
|
| 83 |
+
- key: default
|
| 84 |
+
raw_shape: 8
|
| 85 |
+
shape: 8
|
| 86 |
+
num_frames: 9
|
| 87 |
+
global_sample_stride: 1
|
| 88 |
+
action_video_freq_ratio: 2
|
| 89 |
+
video_size:
|
| 90 |
+
- 256
|
| 91 |
+
- 512
|
| 92 |
+
camera_key: null
|
| 93 |
+
val_set_proportion: 0.0
|
| 94 |
+
is_training_set: true
|
| 95 |
+
skip_padding_as_possible: true
|
| 96 |
+
concat_multi_camera: horizontal
|
| 97 |
+
image_current_frame_only: true
|
| 98 |
+
fast_arrow_read: true
|
| 99 |
+
prewarm_page_cache: true
|
| 100 |
+
processor:
|
| 101 |
+
_target_: data.lerobot.processors.fastwam_processor.FastWAMProcessor
|
| 102 |
+
shape_meta: ${data.train.shape_meta}
|
| 103 |
+
num_obs_steps: ${data.train.num_frames}
|
| 104 |
+
image_obs_steps: 1
|
| 105 |
+
num_output_cameras: 2
|
| 106 |
+
action_output_dim: 7
|
| 107 |
+
proprio_output_dim: 8
|
| 108 |
+
delta_action_dim_mask:
|
| 109 |
+
default:
|
| 110 |
+
- true
|
| 111 |
+
- true
|
| 112 |
+
- true
|
| 113 |
+
- true
|
| 114 |
+
- true
|
| 115 |
+
- true
|
| 116 |
+
- false
|
| 117 |
+
action_state_transforms: null
|
| 118 |
+
use_stepwise_action_norm: false
|
| 119 |
+
norm_default_mode: -1/1
|
| 120 |
+
norm_exception_mode: null
|
| 121 |
+
action_state_merger:
|
| 122 |
+
_target_: data.lerobot.transforms.action_state_merger.ConcatLeftAlign
|
| 123 |
+
train_transforms:
|
| 124 |
+
- _target_: data.lerobot.transforms.image.ToTensor
|
| 125 |
+
- _target_: torchvision.transforms.Resize
|
| 126 |
+
size:
|
| 127 |
+
- 256
|
| 128 |
+
- 256
|
| 129 |
+
val_transforms:
|
| 130 |
+
- _target_: data.lerobot.transforms.image.ToTensor
|
| 131 |
+
- _target_: torchvision.transforms.Resize
|
| 132 |
+
size:
|
| 133 |
+
- 256
|
| 134 |
+
- 256
|
| 135 |
+
text_embedding_cache_dir: ${oc.env:LAFM_LIBERO_TEXT_CACHE,downloads/FastWAM/data/text_embeds_cache/libero}
|
| 136 |
+
context_len: 128
|
| 137 |
+
pretrained_norm_stats: ${oc.env:LAFM_OXE_NORM_STATS,downloads/openvla_oxe_lerobot/dataset_stats.json}
|
| 138 |
+
per_dataset_action_norm: true
|
| 139 |
+
per_dataset_norm_stats_dir: downloads/FastWAM/data/libero_m323_rs141_256/_per_dataset_stats_merged
|
| 140 |
+
action_norm_mask:
|
| 141 |
+
- true
|
| 142 |
+
- true
|
| 143 |
+
- true
|
| 144 |
+
- true
|
| 145 |
+
- true
|
| 146 |
+
- true
|
| 147 |
+
- false
|
| 148 |
+
dataset_weight_sampling: true
|
| 149 |
+
dataset_weights:
|
| 150 |
+
libero_spatial_no_noops_lerobot: 1.0
|
| 151 |
+
libero_object_no_noops_lerobot: 1.0
|
| 152 |
+
libero_goal_no_noops_lerobot: 1.0
|
| 153 |
+
libero_10_no_noops_lerobot: 1.0
|
| 154 |
+
method: lafm_flow_fullft_skip_mem
|
| 155 |
+
output_model_name: lafm_vla_flow_neo2b_fulllayer_libero_fullft_m323
|
| 156 |
+
subdir: lafm_vla_flow_neo2b_fulllayer_libero_fullft_m323_flft0815r
|
| 157 |
+
save_note: 'LIBERO 4-suite FULL finetune of fulllayer-bb (FULL-LAYER 40/40 layer-map
|
| 158 |
+
ablation, 4096x75k pretrain @75k) (NEO VLM unfrozen; no grad-dead backbone tail
|
| 159 |
+
under the 0..39 map, stock last-layer/final-norm freeze only). [m323_rs141_256 data:
|
| 160 |
+
mujoco 3.2.3 + robosuite 1.4.1 regen, 256-native]'
|
| 161 |
+
mixed_precision: bf16
|
| 162 |
+
learning_rate: 5.0e-05
|
| 163 |
+
weight_decay: 0.0
|
| 164 |
+
batch_size: 8
|
| 165 |
+
model:
|
| 166 |
+
architecture: lafm_vla_flow
|
| 167 |
+
backbone_type: neo_frozen
|
| 168 |
+
neo_model_path: /mnt/afs/diaohaiwen/workspace/Neo/Neo_dense/RUN/NEOpp-2B-SFT
|
| 169 |
+
local_files_only: true
|
| 170 |
+
image_size: 256
|
| 171 |
+
max_text_tokens: 128
|
| 172 |
+
max_views: 2
|
| 173 |
+
chunk_K: 8
|
| 174 |
+
init_from: /mnt/afs/multimodal_data/fanweichen/experiments/lafm_vla_flow_neo2b_fulllayer_bb_bb_flbb_0813a/lafm_vla_flow_neo2b_fulllayer_bb_bb_weights.ckpt.shards.step000075000
|
| 175 |
+
init_use_ema: true
|
| 176 |
+
init_full_cover: false
|
| 177 |
+
aug:
|
| 178 |
+
enabled: true
|
| 179 |
+
crop_frac: 0.95
|
| 180 |
+
rot_deg: 5.0
|
| 181 |
+
jitter:
|
| 182 |
+
- 0.3
|
| 183 |
+
- 0.4
|
| 184 |
+
- 0.5
|
| 185 |
+
jitter_p: 0.5
|
| 186 |
+
expert:
|
| 187 |
+
width: 1024
|
| 188 |
+
intermediate: 3072
|
| 189 |
+
init_std: 0.02
|
| 190 |
+
qk_norm_calibration: true
|
| 191 |
+
layer_map:
|
| 192 |
+
- 0
|
| 193 |
+
- 1
|
| 194 |
+
- 2
|
| 195 |
+
- 3
|
| 196 |
+
- 4
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| 197 |
+
- 5
|
| 198 |
+
- 6
|
| 199 |
+
- 7
|
| 200 |
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- 8
|
| 201 |
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- 9
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| 202 |
+
- 10
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| 203 |
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- 11
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| 204 |
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- 12
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| 205 |
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- 13
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| 206 |
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- 14
|
| 207 |
+
- 15
|
| 208 |
+
- 16
|
| 209 |
+
- 17
|
| 210 |
+
- 18
|
| 211 |
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- 19
|
| 212 |
+
- 20
|
| 213 |
+
- 21
|
| 214 |
+
- 22
|
| 215 |
+
- 23
|
| 216 |
+
- 24
|
| 217 |
+
- 25
|
| 218 |
+
- 26
|
| 219 |
+
- 27
|
| 220 |
+
- 28
|
| 221 |
+
- 29
|
| 222 |
+
- 30
|
| 223 |
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- 31
|
| 224 |
+
- 32
|
| 225 |
+
- 33
|
| 226 |
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- 34
|
| 227 |
+
- 35
|
| 228 |
+
- 36
|
| 229 |
+
- 37
|
| 230 |
+
- 38
|
| 231 |
+
- 39
|
| 232 |
+
flow:
|
| 233 |
+
num_steps: 10
|
| 234 |
+
adam_betas:
|
| 235 |
+
- 0.9
|
| 236 |
+
- 0.95
|
| 237 |
+
adam_eps: 1.0e-08
|
| 238 |
+
adam_weight_decay: 1.0e-10
|
| 239 |
+
warmup_steps: 2000
|
| 240 |
+
lr_final: 5.0e-06
|
| 241 |
+
ema_decay: 0.999
|
| 242 |
+
eval_every: 4000
|
| 243 |
+
sample_eval_every: 8000
|