Instructions to use villekuosmanen/armnetbench_block_stack_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use villekuosmanen/armnetbench_block_stack_diffusion with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- README.md +1 -1
- config.json +1 -1
- model.safetensors +1 -1
- train_config.json +6 -6
README.md
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
---
|
| 2 |
-
datasets: villekuosmanen/
|
| 3 |
library_name: lerobot
|
| 4 |
license: apache-2.0
|
| 5 |
model_name: diffusion
|
|
|
|
| 1 |
---
|
| 2 |
+
datasets: villekuosmanen/armnetbench_block_stack
|
| 3 |
library_name: lerobot
|
| 4 |
license: apache-2.0
|
| 5 |
model_name: diffusion
|
config.json
CHANGED
|
@@ -49,7 +49,7 @@
|
|
| 49 |
"private": null,
|
| 50 |
"tags": null,
|
| 51 |
"license": null,
|
| 52 |
-
"pretrained_path":
|
| 53 |
"horizon": 64,
|
| 54 |
"n_action_steps": 32,
|
| 55 |
"normalization_mapping": {
|
|
|
|
| 49 |
"private": null,
|
| 50 |
"tags": null,
|
| 51 |
"license": null,
|
| 52 |
+
"pretrained_path": "/home/ville/alpha-robotics/remoterobo/outputs/train/2026-06-20/08-26-38_diffusion/checkpoints/055000/pretrained_model",
|
| 53 |
"horizon": 64,
|
| 54 |
"n_action_steps": 32,
|
| 55 |
"normalization_mapping": {
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1170939520
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eedc96ab994e2faf25771d14ec649f2f5d597e05617dab7b27167915137cf8fd
|
| 3 |
size 1170939520
|
train_config.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"dataset": {
|
| 3 |
-
"repo_id": "villekuosmanen/
|
| 4 |
"root": null,
|
| 5 |
"episodes": null,
|
| 6 |
"image_transforms": {
|
|
@@ -131,7 +131,7 @@
|
|
| 131 |
"private": null,
|
| 132 |
"tags": null,
|
| 133 |
"license": null,
|
| 134 |
-
"pretrained_path":
|
| 135 |
"horizon": 64,
|
| 136 |
"n_action_steps": 32,
|
| 137 |
"normalization_mapping": {
|
|
@@ -183,9 +183,9 @@
|
|
| 183 |
"scheduler_name": "cosine",
|
| 184 |
"scheduler_warmup_steps": 500
|
| 185 |
},
|
| 186 |
-
"output_dir": "outputs/train/2026-06-
|
| 187 |
"job_name": "diffusion",
|
| 188 |
-
"resume":
|
| 189 |
"seed": 1000,
|
| 190 |
"cudnn_deterministic": false,
|
| 191 |
"num_workers": 18,
|
|
@@ -224,7 +224,7 @@
|
|
| 224 |
"project": "lerobot",
|
| 225 |
"entity": null,
|
| 226 |
"notes": null,
|
| 227 |
-
"run_id": "
|
| 228 |
"mode": null,
|
| 229 |
"add_tags": true
|
| 230 |
},
|
|
@@ -235,5 +235,5 @@
|
|
| 235 |
"rabc_epsilon": 1e-06,
|
| 236 |
"rabc_head_mode": "sparse",
|
| 237 |
"rename_map": {},
|
| 238 |
-
"checkpoint_path":
|
| 239 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"dataset": {
|
| 3 |
+
"repo_id": "villekuosmanen/armnetbench_block_stack",
|
| 4 |
"root": null,
|
| 5 |
"episodes": null,
|
| 6 |
"image_transforms": {
|
|
|
|
| 131 |
"private": null,
|
| 132 |
"tags": null,
|
| 133 |
"license": null,
|
| 134 |
+
"pretrained_path": "/home/ville/alpha-robotics/remoterobo/outputs/train/2026-06-20/08-26-38_diffusion/checkpoints/055000/pretrained_model",
|
| 135 |
"horizon": 64,
|
| 136 |
"n_action_steps": 32,
|
| 137 |
"normalization_mapping": {
|
|
|
|
| 183 |
"scheduler_name": "cosine",
|
| 184 |
"scheduler_warmup_steps": 500
|
| 185 |
},
|
| 186 |
+
"output_dir": "outputs/train/2026-06-20/08-26-38_diffusion",
|
| 187 |
"job_name": "diffusion",
|
| 188 |
+
"resume": true,
|
| 189 |
"seed": 1000,
|
| 190 |
"cudnn_deterministic": false,
|
| 191 |
"num_workers": 18,
|
|
|
|
| 224 |
"project": "lerobot",
|
| 225 |
"entity": null,
|
| 226 |
"notes": null,
|
| 227 |
+
"run_id": "2k2gvzhe",
|
| 228 |
"mode": null,
|
| 229 |
"add_tags": true
|
| 230 |
},
|
|
|
|
| 235 |
"rabc_epsilon": 1e-06,
|
| 236 |
"rabc_head_mode": "sparse",
|
| 237 |
"rename_map": {},
|
| 238 |
+
"checkpoint_path": "/home/ville/alpha-robotics/remoterobo/outputs/train/2026-06-20/08-26-38_diffusion/checkpoints/055000"
|
| 239 |
}
|