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README.md

@@ -15,6 +15,7 @@ openpi π₀.₅ policy checkpoint.
 - **Experiment:** `GRASPNET_FINAL_moreData_h100`
 - **Checkpoints in this repo:**
 
+- `step_50000/`
 - `step_99999/`
 
 Each folder is one training step and is self-contained.
@@ -24,9 +25,9 @@ Each folder is one training step and is self-contained.
 
 | Path | Purpose |
 |---|---|
-| `step_99999/params/` | Model weights. Required to serve the policy. |
-| `step_99999/assets/` | Normalization statistics. Required to serve the policy. |
-| `step_99999/train_state/` | Optimizer state. Only present if uploaded with `--include-train-state`; needed to resume training. |
+| `step_50000/params/` | Model weights. Required to serve the policy. |
+| `step_50000/assets/` | Normalization statistics. Required to serve the policy. |
+| `step_50000/train_state/` | Optimizer state. Only present if uploaded with `--include-train-state`; needed to resume training. |
 
 ## Usage
 
@@ -35,7 +36,7 @@ from huggingface_hub import snapshot_download
 from openpi.policies import policy_config
 from openpi.training import config as _config
 
-ckpt = snapshot_download("saifahmad123/GRASPNET_FINAL_moreData_h100", allow_patterns="step_99999/*") + "/step_99999"
+ckpt = snapshot_download("saifahmad123/GRASPNET_FINAL_moreData_h100", allow_patterns="step_50000/*") + "/step_50000"
 train_config = _config.get_config("pi05_Franka_GRASPNET_FINAL_moreData")
 policy = policy_config.create_trained_policy(train_config, ckpt)