Update README.md

README.md

@@ -6,7 +6,7 @@ license: apache-2.0
 This repository provides the official release of the Pi0 model trained with the whole VLABench's official primitive tasks dataset.
 
 
-# Evaluation
+## 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 checkpoints and put it in the directory `checkpoints`, to run the policy as server, please run:
 ```sh
@@ -18,7 +18,7 @@ After serving the policy, open another terminal and run:
 bash vla_bench_scipts/multi_run_vlabench.sh <Your path to store the evaluate results>
 ```
 
-# Train
+## Train
 To reproduce the training result, please run the training script with the config `pi05_ft_vlabench_primitive`.
 ```sh
 XLA_PYTHON_CLIENT_MEM_FRACTION=0.95 uv run scripts/train.py pi0_ft_vlabench_primitive --exp-name=pi0_ft_vlabench_primitive --overwrite
@@ -26,7 +26,7 @@ XLA_PYTHON_CLIENT_MEM_FRACTION=0.95 uv run scripts/train.py pi0_ft_vlabench_prim
 
 Our checkpoint is trained on 8 H100 for 30k iterations, with 5000 episodes data acrossing 10 tasks.
 
-# Reference Results
+## Reference Results
 The reference success rate of this model is:
 | Track                      | add_condiment | insert_flower | select_book | select_chemistry_tube | select_drink | select_fruit | select_mahjong | select_painting | select_poker | select_toy | Avg_SR |
 |----------------------------|---------------|---------------|-----------------|-----------------|--------------------|--------------------|-----------------|-----------------|-------------------|-------------------|--------|