Upload policy weights, train config and readme

README.md

@@ -1,3 +1,63 @@
----
-license: apache-2.0
----
+---
+base_model: lerobot/smolvla_base
+datasets: kjydb/lerobot_test_028
+library_name: lerobot
+license: apache-2.0
+model_name: smolvla
+pipeline_tag: robotics
+tags:
+- robotics
+- lerobot
+- smolvla
+---
+
+# Model Card for smolvla
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+[SmolVLA](https://huggingface.co/papers/2506.01844) is a compact, efficient vision-language-action model that achieves competitive performance at reduced computational costs and can be deployed on consumer-grade hardware.
+
+
+This policy has been trained and pushed to the Hub using [LeRobot](https://github.com/huggingface/lerobot).
+See the full documentation at [LeRobot Docs](https://huggingface.co/docs/lerobot/index).
+
+---
+
+## How to Get Started with the Model
+
+For a complete walkthrough, see the [training guide](https://huggingface.co/docs/lerobot/il_robots#train-a-policy).
+Below is the short version on how to train and run inference/eval:
+
+### Train from scratch
+
+```bash
+python -m lerobot.scripts.train \
+  --dataset.repo_id=${HF_USER}/<dataset> \
+  --policy.type=act \
+  --output_dir=outputs/train/<desired_policy_repo_id> \
+  --job_name=lerobot_training \
+  --policy.device=cuda \
+  --policy.repo_id=${HF_USER}/<desired_policy_repo_id>
+  --wandb.enable=true
+```
+
+*Writes checkpoints to `outputs/train/<desired_policy_repo_id>/checkpoints/`.*
+
+### Evaluate the policy/run inference
+
+```bash
+python -m lerobot.record \
+  --robot.type=so100_follower \
+  --dataset.repo_id=<hf_user>/eval_<dataset> \
+  --policy.path=<hf_user>/<desired_policy_repo_id> \
+  --episodes=10
+```
+
+Prefix the dataset repo with **eval\_** and supply `--policy.path` pointing to a local or hub checkpoint.
+
+---
+
+## Model Details
+
+* **License:** apache-2.0

config.json

@@ -41,7 +41,7 @@
     "device": "cuda",
     "use_amp": false,
     "push_to_hub": true,
-    "repo_id": "lerobot/smolvla_base",
+    "repo_id": "kjydb/lerobot_test_028",
     "private": null,
     "tags": null,
     "license": null,

train_config.json

@@ -108,7 +108,7 @@
         "device": "cuda",
         "use_amp": false,
         "push_to_hub": true,
-        "repo_id": "lerobot/smolvla_base",
+        "repo_id": "kjydb/lerobot_test_028",
         "private": null,
         "tags": null,
         "license": null,
@@ -153,8 +153,8 @@
         "min_period": 0.004,
         "max_period": 4.0
     },
-    "output_dir": "outputs/train/lerobot_test_028",
-    "job_name": "lerobot_test_028",
+    "output_dir": "outputs/train/lerobot_test_036",
+    "job_name": "lerobot_test_036",
     "resume": false,
     "seed": 1000,
     "num_workers": 4,