Instructions to use CypherChen/NexarmControlModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use CypherChen/NexarmControlModel with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Update actual training steps to 29k
Browse files
README.md
CHANGED
|
@@ -20,7 +20,7 @@ This model is trained with [ACT (Action Chunking with Transformers)](https://arx
|
|
| 20 |
| **Policy** | ACT (Action Chunking with Transformers) |
|
| 21 |
| **Dataset** | 31 episodes, ~27K frames |
|
| 22 |
| **Cameras** | 2× USB cameras (front + wrist), 640×480 |
|
| 23 |
-
| **Training Time** | ~
|
| 24 |
| **Final Loss** | ~0.057 |
|
| 25 |
|
| 26 |
## Usage
|
|
|
|
| 20 |
| **Policy** | ACT (Action Chunking with Transformers) |
|
| 21 |
| **Dataset** | 31 episodes, ~27K frames |
|
| 22 |
| **Cameras** | 2× USB cameras (front + wrist), 640×480 |
|
| 23 |
+
| **Training Time** | ~29K steps on NVIDIA RTX 5070 Ti |
|
| 24 |
| **Final Loss** | ~0.057 |
|
| 25 |
|
| 26 |
## Usage
|