Update README.md

README.md

@@ -1,63 +1,18 @@
 ---
-base_model: lerobot/smolvla_base
-datasets: arclabmit/lx7r_pickup_dataset
+license: mit
 library_name: lerobot
-license: apache-2.0
-model_name: smolvla
 pipeline_tag: robotics
-tags:
-- smolvla
-- lerobot
-- robotics
 ---
 
-# Model Card for smolvla
+This model was created using [pickup dataset](https://huggingface.co/datasets/arclabmit/lx7r_pickup_dataset) 
 
-<!-- Provide a quick summary of what the model is/does. -->
+Repo: [BEAVR](https://github.com/ARCLab-MIT/beavr-bot)
 
+Paper: [Paper](https://arxiv.org/abs/2508.09606) 
 
-[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
-
+Example of training the [SmolVLA](https://arxiv.org/abs/2506.01844) neural network with 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
+python lerobot/scripts/train.py \
+--policy.type=smolvla \
+--dataset.repo_id=arclabmit/lx7r_pickup_dataset
+```