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README.md

@@ -16,6 +16,7 @@ openpi π₀.₅ policy checkpoint.
 - **Checkpoints in this repo:**
 
 - `step_25000/`
+- `step_49999/`
 
 Each folder is one training step and is self-contained.
 - **Training dataset:** [saifahmad123/GRASPNET_FINAL](https://huggingface.co/datasets/saifahmad123/GRASPNET_FINAL)
@@ -24,9 +25,9 @@ Each folder is one training step and is self-contained.
 
 | Path | Purpose |
 |---|---|
-| `step_25000/params/` | Model weights. Required to serve the policy. |
-| `step_25000/assets/` | Normalization statistics. Required to serve the policy. |
-| `step_25000/train_state/` | Optimizer state. Only present if uploaded with `--include-train-state`; needed to resume training. |
+| `step_49999/params/` | Model weights. Required to serve the policy. |
+| `step_49999/assets/` | Normalization statistics. Required to serve the policy. |
+| `step_49999/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_h100", allow_patterns="step_25000/*") + "/step_25000"
+ckpt = snapshot_download("saifahmad123/GRASPNET_FINAL_h100", allow_patterns="step_49999/*") + "/step_49999"
 train_config = _config.get_config("pi05_Franka_GRASPNET_FINAL")
 policy = policy_config.create_trained_policy(train_config, ckpt)