Upload left arm v4 (best left, val=0.46)
Browse files- best/model.pt +3 -0
- config.yaml +107 -0
best/model.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a0c13d44284d8f482775c50134a4ad44e09c8c62b104eaeea428f82acbb0c39a
|
| 3 |
+
size 906851611
|
config.yaml
ADDED
|
@@ -0,0 +1,107 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Left arm 6-DOF no tactile (v4) — with data augmentation + improved hyperparams.
|
| 2 |
+
# 27 clean datasets: egg (11) + marmalade (7) + waffles (9).
|
| 3 |
+
# Changes from v3: augmentation, weight_decay=0.01, grad_accum=4 (eff batch=32).
|
| 4 |
+
|
| 5 |
+
experiment:
|
| 6 |
+
name: "crab_smolvla_6dof_left_arm_multitask_12v_v4"
|
| 7 |
+
seed: 42
|
| 8 |
+
output_dir: "outputs/crab_smolvla_6dof_left_arm_multitask_12v_v4"
|
| 9 |
+
resume_from_checkpoint: null
|
| 10 |
+
|
| 11 |
+
model:
|
| 12 |
+
pretrained_path: "lerobot/smolvla_base"
|
| 13 |
+
chunk_size: 50
|
| 14 |
+
n_action_steps: 50
|
| 15 |
+
max_state_dim: 32
|
| 16 |
+
max_action_dim: 32
|
| 17 |
+
action_dim: 6
|
| 18 |
+
state_dim: 6
|
| 19 |
+
num_steps: 10
|
| 20 |
+
freeze_vision_encoder: true
|
| 21 |
+
train_expert_only: true
|
| 22 |
+
train_state_proj: true
|
| 23 |
+
tactile_encoder:
|
| 24 |
+
enabled: false
|
| 25 |
+
|
| 26 |
+
dataset:
|
| 27 |
+
episodes_dir: "../datasets"
|
| 28 |
+
episode_names:
|
| 29 |
+
# --- Egg 12V clean (11 datasets) ---
|
| 30 |
+
- "egg_carton_to_tray/pick_place_soft_20260217_1847"
|
| 31 |
+
- "egg_carton_to_tray/pick_place_soft_20260217_1905"
|
| 32 |
+
- "egg_carton_to_tray/pick_place_soft_20260217_2003"
|
| 33 |
+
- "egg_carton_to_tray/pick_place_soft_20260217_2020"
|
| 34 |
+
- "egg_carton_to_tray/pick_place_soft_20260218_1414"
|
| 35 |
+
- "egg_carton_to_tray/pick_place_soft_20260218_1422"
|
| 36 |
+
- "egg_carton_to_tray/pick_place_soft_20260218_1429"
|
| 37 |
+
- "egg_carton_to_tray/pick_place_soft_20260218_1446"
|
| 38 |
+
- "egg_carton_to_tray/pick_place_soft_20260219_1759"
|
| 39 |
+
- "egg_carton_to_tray/pick_place_medium_20260226_1638"
|
| 40 |
+
- "egg_carton_to_tray/pick_place_medium_20260226_1649"
|
| 41 |
+
# --- Marmalade jar clean (7 datasets) ---
|
| 42 |
+
- "marmalade_jar/pick_place_medium_20260226_1659"
|
| 43 |
+
- "marmalade_jar/pick_place_medium_20260226_1707"
|
| 44 |
+
- "marmalade_jar/pick_place_medium_20260226_1713_2"
|
| 45 |
+
- "marmalade_jar/pick_place_medium_20260226_1717"
|
| 46 |
+
- "marmalade_jar/pick_place_medium_20260226_1722"
|
| 47 |
+
- "marmalade_jar/pick_place_medium_20260227_1636"
|
| 48 |
+
- "marmalade_jar/pick_place_medium_20260227_1641"
|
| 49 |
+
# --- Waffles clean (9 datasets) ---
|
| 50 |
+
- "waffles/pick_place_soft_20260226_1727"
|
| 51 |
+
- "waffles/pick_place_soft_20260226_1734"
|
| 52 |
+
- "waffles/pick_place_soft_20260226_1738"
|
| 53 |
+
- "waffles/pick_place_soft_20260226_1743"
|
| 54 |
+
- "waffles/pick_place_soft_20260226_1748"
|
| 55 |
+
- "waffles/pick_place_soft_20260227_1507"
|
| 56 |
+
- "waffles/pick_place_soft_20260227_1611"
|
| 57 |
+
- "waffles/pick_place_soft_20260227_1616"
|
| 58 |
+
- "waffles/pick_place_soft_20260227_1621"
|
| 59 |
+
action_indices: [0, 1, 2, 3, 4, 5]
|
| 60 |
+
state_indices: [0, 1, 2, 3, 4, 5]
|
| 61 |
+
image_keys:
|
| 62 |
+
- "observation.images.main_camera"
|
| 63 |
+
- "observation.images.left_arm_camera"
|
| 64 |
+
- "observation.images.right_arm_camera"
|
| 65 |
+
fps: 15
|
| 66 |
+
image_size: [256, 256]
|
| 67 |
+
original_image_size: [480, 640]
|
| 68 |
+
video_codec: "av1"
|
| 69 |
+
task_description: "Pick and place the object"
|
| 70 |
+
val_ratio: 0.1
|
| 71 |
+
num_workers: 0
|
| 72 |
+
video_cache_dir: "/tmp/crab_video_cache"
|
| 73 |
+
augmentation:
|
| 74 |
+
enabled: true
|
| 75 |
+
color_jitter:
|
| 76 |
+
brightness: 0.2
|
| 77 |
+
contrast: 0.2
|
| 78 |
+
saturation: 0.2
|
| 79 |
+
hue: 0.05
|
| 80 |
+
random_crop:
|
| 81 |
+
enabled: true
|
| 82 |
+
scale: [0.9, 1.0]
|
| 83 |
+
|
| 84 |
+
training:
|
| 85 |
+
batch_size: 8
|
| 86 |
+
gradient_accumulation_steps: 4
|
| 87 |
+
steps: 50000
|
| 88 |
+
warmup_steps: 2000
|
| 89 |
+
optimizer: "adamw"
|
| 90 |
+
learning_rate: 1.0e-4
|
| 91 |
+
weight_decay: 0.01
|
| 92 |
+
betas: [0.9, 0.95]
|
| 93 |
+
eps: 1.0e-8
|
| 94 |
+
grad_clip_norm: 10.0
|
| 95 |
+
scheduler: "cosine_with_warmup"
|
| 96 |
+
decay_steps: 50000
|
| 97 |
+
min_lr: 2.5e-6
|
| 98 |
+
use_amp: true
|
| 99 |
+
amp_dtype: "bfloat16"
|
| 100 |
+
checkpoint:
|
| 101 |
+
save_every_steps: 5000
|
| 102 |
+
keep_last_n: 5
|
| 103 |
+
save_optimizer: true
|
| 104 |
+
save_best: true
|
| 105 |
+
log_every_steps: 50
|
| 106 |
+
eval_every_steps: 2500
|
| 107 |
+
visualize_every_steps: 1000
|