Update README.md
Browse files
README.md
CHANGED
|
@@ -2,11 +2,34 @@
|
|
| 2 |
library_name: lerobot
|
| 3 |
tags:
|
| 4 |
- act
|
| 5 |
-
- model_hub_mixin
|
| 6 |
-
- pytorch_model_hub_mixin
|
| 7 |
- robotics
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
---
|
| 9 |
|
| 10 |
-
|
| 11 |
-
|
| 12 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
library_name: lerobot
|
| 3 |
tags:
|
| 4 |
- act
|
|
|
|
|
|
|
| 5 |
- robotics
|
| 6 |
+
- lerobot
|
| 7 |
+
license: mit
|
| 8 |
+
datasets:
|
| 9 |
+
- AdamLucek/koch_block
|
| 10 |
---
|
| 11 |
|
| 12 |
+
# Action Chunking Transformer For The Koch v1.1 Robot
|
| 13 |
+
|
| 14 |
+
Action Chunking Transformer (ACT) trained on the [AdamLucek/koch_block](https://huggingface.co/datasets/AdamLucek/koch_block) dataset for the [Koch v1.1 Low Cost Robot](https://github.com/jess-moss/koch-v1-1) from [LeRobot](https://github.com/huggingface/lerobot)
|
| 15 |
+
|
| 16 |
+
### Usage
|
| 17 |
+
|
| 18 |
+
Details around methodology for set up, training, and evaluation available via LeRobot's guide to [Getting Started with Real World Robots](https://github.com/huggingface/lerobot/blob/main/examples/7_get_started_with_real_robot.md)
|
| 19 |
+
|
| 20 |
+
### Training Details
|
| 21 |
+
|
| 22 |
+
The model was trained using [LeRobot's training script](https://github.com/huggingface/lerobot/blob/d747195c5733c4f68d4bfbe62632d6fc1b605712/lerobot/scripts/train.py) and with the [AdamLucek/koch_block](https://huggingface.co/datasets/AdamLucek/koch_block) dataset, using this command:
|
| 23 |
+
|
| 24 |
+
```bash
|
| 25 |
+
python lerobot/scripts/train.py `
|
| 26 |
+
dataset_repo_id="AdamLucek/koch_block" `
|
| 27 |
+
policy="act_koch_real" `
|
| 28 |
+
env="koch_real" `
|
| 29 |
+
hydra.run.dir="outputs/train/act_koch_test" `
|
| 30 |
+
hydra.job.name="act_koch_test" `
|
| 31 |
+
device="cuda" `
|
| 32 |
+
wandb.enable="true"
|
| 33 |
+
```
|
| 34 |
+
|
| 35 |
+
Training was done on a 3060 for roughly 7 hours, loss curve and statistics available in [wandb report here.](https://api.wandb.ai/links/adam-lucek/roik1kwh)
|