Update model card root paths

README.md

@@ -16,18 +16,17 @@ This repository provides a Pi0.5 checkpoint trained with the VLABench pretrain p
 
 The uploaded checkpoint includes both inference parameters and training/evaluation assets:
 
-- `jax_pi05_base_aligned_sg/199999/params/`: Orbax parameters for inference/evaluation.
-- `jax_pi05_base_aligned_sg/199999/train_state/`: full Orbax training state for resuming training.
-- `jax_pi05_base_aligned_sg/199999/assets/`: normalization statistics and checkpoint assets.
-- `jax_pi05_base_aligned_sg/199999/_CHECKPOINT_METADATA`: Orbax checkpoint metadata.
-- `torch_199999/`: converted PyTorch checkpoint, including `model.safetensors`, `config.json`, and VLABench assets.
+- `params/`: Orbax parameters for inference/evaluation.
+- `train_state/`: full Orbax training state for resuming training.
+- `assets/`: normalization statistics and checkpoint assets.
+- `_CHECKPOINT_METADATA`: Orbax checkpoint metadata.
 
 ## Evaluation
 
 To run this checkpoint, please clone this repo: https://github.com/Shiduo-zh/openpi, and checkout to the branch `main`. Assume that you download this checkpoint and put it in the directory `checkpoints`, to run the policy as server, please run:
 
 ```sh
-bash serve_policy.sh pi05_posttrain_vlabench_primitive_aligned checkpoints/pi05_posttrain_vlabench_primitive_aligned/jax_pi05_base_aligned_sg/199999/
+bash serve_policy.sh pi05_posttrain_vlabench_primitive_aligned checkpoints/pi05-posttrain-vlabench-primitive-aligned/
 ```
 
 After serving the policy, open another terminal and run: