Instructions to use leledeyuan/mating_cable with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use leledeyuan/mating_cable with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- README.md +2 -2
- config.json +18 -2
- model.safetensors +2 -2
- train_config.json +21 -5
README.md
CHANGED
|
@@ -1,12 +1,12 @@
|
|
| 1 |
---
|
| 2 |
-
datasets: leledeyuan/
|
| 3 |
library_name: lerobot
|
| 4 |
license: apache-2.0
|
| 5 |
model_name: fact
|
| 6 |
pipeline_tag: robotics
|
| 7 |
tags:
|
| 8 |
-
- lerobot
|
| 9 |
- fact
|
|
|
|
| 10 |
- robotics
|
| 11 |
---
|
| 12 |
|
|
|
|
| 1 |
---
|
| 2 |
+
datasets: leledeyuan/mating_cable
|
| 3 |
library_name: lerobot
|
| 4 |
license: apache-2.0
|
| 5 |
model_name: fact
|
| 6 |
pipeline_tag: robotics
|
| 7 |
tags:
|
|
|
|
| 8 |
- fact
|
| 9 |
+
- lerobot
|
| 10 |
- robotics
|
| 11 |
---
|
| 12 |
|
config.json
CHANGED
|
@@ -31,6 +31,22 @@
|
|
| 31 |
480,
|
| 32 |
640
|
| 33 |
]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 34 |
}
|
| 35 |
},
|
| 36 |
"output_features": {
|
|
@@ -69,7 +85,7 @@
|
|
| 69 |
"use_vae": true,
|
| 70 |
"latent_dim": 32,
|
| 71 |
"n_vae_encoder_layers": 4,
|
| 72 |
-
"use_film":
|
| 73 |
"selected_state_shape": [
|
| 74 |
18
|
| 75 |
],
|
|
@@ -77,7 +93,7 @@
|
|
| 77 |
20
|
| 78 |
],
|
| 79 |
"wrench_dim": 12,
|
| 80 |
-
"phase_num":
|
| 81 |
"use_main_task": null,
|
| 82 |
"temporal_ensemble_coeff": 0.1,
|
| 83 |
"dropout": 0.1,
|
|
|
|
| 31 |
480,
|
| 32 |
640
|
| 33 |
]
|
| 34 |
+
},
|
| 35 |
+
"observation.images.wrist_l_depth": {
|
| 36 |
+
"type": "VISUAL",
|
| 37 |
+
"shape": [
|
| 38 |
+
3,
|
| 39 |
+
480,
|
| 40 |
+
640
|
| 41 |
+
]
|
| 42 |
+
},
|
| 43 |
+
"observation.images.wrist_r_depth": {
|
| 44 |
+
"type": "VISUAL",
|
| 45 |
+
"shape": [
|
| 46 |
+
3,
|
| 47 |
+
480,
|
| 48 |
+
640
|
| 49 |
+
]
|
| 50 |
}
|
| 51 |
},
|
| 52 |
"output_features": {
|
|
|
|
| 85 |
"use_vae": true,
|
| 86 |
"latent_dim": 32,
|
| 87 |
"n_vae_encoder_layers": 4,
|
| 88 |
+
"use_film": true,
|
| 89 |
"selected_state_shape": [
|
| 90 |
18
|
| 91 |
],
|
|
|
|
| 93 |
20
|
| 94 |
],
|
| 95 |
"wrench_dim": 12,
|
| 96 |
+
"phase_num": 4,
|
| 97 |
"use_main_task": null,
|
| 98 |
"temporal_ensemble_coeff": 0.1,
|
| 99 |
"dropout": 0.1,
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5cc40d890458f69333c1153c90930cd4e694b397b56b16cd4cb2686fca82d2f0
|
| 3 |
+
size 253440112
|
train_config.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"dataset": {
|
| 3 |
-
"repo_id": "leledeyuan/
|
| 4 |
"root": null,
|
| 5 |
"episodes": null,
|
| 6 |
"image_transforms": {
|
|
@@ -113,6 +113,22 @@
|
|
| 113 |
480,
|
| 114 |
640
|
| 115 |
]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 116 |
}
|
| 117 |
},
|
| 118 |
"output_features": {
|
|
@@ -151,7 +167,7 @@
|
|
| 151 |
"use_vae": true,
|
| 152 |
"latent_dim": 32,
|
| 153 |
"n_vae_encoder_layers": 4,
|
| 154 |
-
"use_film":
|
| 155 |
"selected_state_shape": [
|
| 156 |
18
|
| 157 |
],
|
|
@@ -159,7 +175,7 @@
|
|
| 159 |
20
|
| 160 |
],
|
| 161 |
"wrench_dim": 12,
|
| 162 |
-
"phase_num":
|
| 163 |
"use_main_task": null,
|
| 164 |
"temporal_ensemble_coeff": 0.1,
|
| 165 |
"dropout": 0.1,
|
|
@@ -168,7 +184,7 @@
|
|
| 168 |
"optimizer_weight_decay": 0.0001,
|
| 169 |
"optimizer_lr_backbone": 1e-05
|
| 170 |
},
|
| 171 |
-
"output_dir": "/home/dayuan/nas/models/
|
| 172 |
"job_name": "mating_cable",
|
| 173 |
"resume": false,
|
| 174 |
"seed": 1000,
|
|
@@ -203,7 +219,7 @@
|
|
| 203 |
"project": "lerobot",
|
| 204 |
"entity": null,
|
| 205 |
"notes": null,
|
| 206 |
-
"run_id": "
|
| 207 |
"mode": null
|
| 208 |
},
|
| 209 |
"checkpoint_path": null,
|
|
|
|
| 1 |
{
|
| 2 |
"dataset": {
|
| 3 |
+
"repo_id": "leledeyuan/mating_cable",
|
| 4 |
"root": null,
|
| 5 |
"episodes": null,
|
| 6 |
"image_transforms": {
|
|
|
|
| 113 |
480,
|
| 114 |
640
|
| 115 |
]
|
| 116 |
+
},
|
| 117 |
+
"observation.images.wrist_l_depth": {
|
| 118 |
+
"type": "VISUAL",
|
| 119 |
+
"shape": [
|
| 120 |
+
3,
|
| 121 |
+
480,
|
| 122 |
+
640
|
| 123 |
+
]
|
| 124 |
+
},
|
| 125 |
+
"observation.images.wrist_r_depth": {
|
| 126 |
+
"type": "VISUAL",
|
| 127 |
+
"shape": [
|
| 128 |
+
3,
|
| 129 |
+
480,
|
| 130 |
+
640
|
| 131 |
+
]
|
| 132 |
}
|
| 133 |
},
|
| 134 |
"output_features": {
|
|
|
|
| 167 |
"use_vae": true,
|
| 168 |
"latent_dim": 32,
|
| 169 |
"n_vae_encoder_layers": 4,
|
| 170 |
+
"use_film": true,
|
| 171 |
"selected_state_shape": [
|
| 172 |
18
|
| 173 |
],
|
|
|
|
| 175 |
20
|
| 176 |
],
|
| 177 |
"wrench_dim": 12,
|
| 178 |
+
"phase_num": 4,
|
| 179 |
"use_main_task": null,
|
| 180 |
"temporal_ensemble_coeff": 0.1,
|
| 181 |
"dropout": 0.1,
|
|
|
|
| 184 |
"optimizer_weight_decay": 0.0001,
|
| 185 |
"optimizer_lr_backbone": 1e-05
|
| 186 |
},
|
| 187 |
+
"output_dir": "/home/dayuan/nas/models/mating_cable_mphase_depth",
|
| 188 |
"job_name": "mating_cable",
|
| 189 |
"resume": false,
|
| 190 |
"seed": 1000,
|
|
|
|
| 219 |
"project": "lerobot",
|
| 220 |
"entity": null,
|
| 221 |
"notes": null,
|
| 222 |
+
"run_id": "o1s8kh5y",
|
| 223 |
"mode": null
|
| 224 |
},
|
| 225 |
"checkpoint_path": null,
|