Upload policy weights, train config and readme

README.md

@@ -31,7 +31,7 @@ Below is the short version on how to train and run inference/eval:
 ### Train from scratch
 
 ```bash
-lerobot-train \
+python -m lerobot.scripts.train \
   --dataset.repo_id=${HF_USER}/<dataset> \
   --policy.type=act \
   --output_dir=outputs/train/<desired_policy_repo_id> \
@@ -46,7 +46,7 @@ _Writes checkpoints to `outputs/train/<desired_policy_repo_id>/checkpoints/`._
 ### Evaluate the policy/run inference
 
 ```bash
-lerobot-record \
+python -m lerobot.record \
   --robot.type=so100_follower \
   --dataset.repo_id=<hf_user>/eval_<dataset> \
   --policy.path=<hf_user>/<desired_policy_repo_id> \

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b39d0388fe7116356b42fef5209f61fab0611c8f12a285bae4293c1c349da982
+oid sha256:8d03ee1909a338f4b58fe8ceb9dd8878e6c1f98bba1af4f55fb90378133dce14
 size 206700800

train_config.json

@@ -126,13 +126,13 @@
         "optimizer_weight_decay": 0.0001,
         "optimizer_lr_backbone": 1e-05
     },
-    "output_dir": "outputs/train/pick-a-bolts-300",
-    "job_name": "act-pick-a-bolts",
+    "output_dir": "outputs/train/pick-a-bolts-300-700000",
+    "job_name": "act-pick-a-bolts-300-700000",
     "resume": false,
     "seed": 1000,
-    "num_workers": 4,
-    "batch_size": 8,
-    "steps": 100000,
+    "num_workers": 8,
+    "batch_size": 64,
+    "steps": 700000,
     "eval_freq": 20000,
     "log_freq": 200,
     "save_checkpoint": true,
@@ -161,7 +161,7 @@
         "project": "lerobot",
         "entity": null,
         "notes": null,
-        "run_id": "s8gqvi11",
+        "run_id": "ygyehyy4",
         "mode": null
     }
 }