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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+wandb/run-20251205_125139-uwiwjk19/run-uwiwjk19.wandb filter=lfs diff=lfs merge=lfs -text

wandb/debug-internal.log

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wandb/run-20251205_125139-uwiwjk19/files/config.yaml

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+_wandb:
+    value:
+        cli_version: 0.21.4
+        e:
+            uux8jh8n2jzo8kylha0dp8cgp6nwldvc:
+                args:
+                    - --dataset.repo_id=ichbinblau/so101_stack2cubes_dataset
+                    - --batch_size=64
+                    - --steps=1000
+                    - --output_dir=outputs/train/act_so101_3cube_1ksteps
+                    - --job_name=act_so101_3cube_1ksteps
+                    - --policy.device=cuda
+                    - --policy.type=act
+                    - --policy.push_to_hub=false
+                    - --wandb.enable=true
+                cpu_count: 160
+                cpu_count_logical: 160
+                disk:
+                    /:
+                        total: "2162185003008"
+                        used: "906985066496"
+                executable: /opt/venv/bin/python
+                gpu: AMD Instinct MI300X VF
+                gpu_amd:
+                    - id: "0"
+                      maxPower: "750.0"
+                      mclkRange: 900Mhz - 1300Mhz
+                      model: "0x74b5"
+                      performanceLevel: auto
+                      sclkRange: 500Mhz - 2100Mhz
+                      series: AMD Instinct MI300X VF
+                      sku: M3000100
+                      uniqueId: "0x2d311e41de759e31"
+                      vbiosVersion: 113-M3000100-103
+                      vendor: Advanced Micro Devices, Inc. [AMD/ATI]
+                gpu_count: 1
+                host: robotics-jupyter-launcher-5144
+                memory:
+                    total: "2029207175168"
+                os: Linux-6.1.0-39-amd64-x86_64-with-glibc2.39
+                program: /opt/venv/bin/lerobot-train
+                python: CPython 3.12.3
+                root: outputs/train/act_so101_3cube_1ksteps
+                startedAt: "2025-12-05T12:51:39.701377Z"
+                writerId: uux8jh8n2jzo8kylha0dp8cgp6nwldvc
+        m: []
+        python_version: 3.12.3
+        t:
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+            "13": linux-x86_64
+batch_size:
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+checkpoint_path:
+    value: null
+dataset:
+    value:
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+        image_transforms:
+            enable: false
+            max_num_transforms: 3
+            random_order: false
+            tfs:
+                affine:
+                    kwargs:
+                        degrees:
+                            - -5
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+                        translate:
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+                            - 0.05
+                    type: RandomAffine
+                    weight: 1
+                brightness:
+                    kwargs:
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+                    type: ColorJitter
+                    weight: 1
+                contrast:
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+                    type: ColorJitter
+                    weight: 1
+                hue:
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+                    weight: 1
+                saturation:
+                    kwargs:
+                        saturation:
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+                            - 1.5
+                    type: ColorJitter
+                    weight: 1
+                sharpness:
+                    kwargs:
+                        sharpness:
+                            - 0.5
+                            - 1.5
+                    type: SharpnessJitter
+                    weight: 1
+        repo_id: ichbinblau/so101_stack2cubes_dataset
+        revision: null
+        root: null
+        streaming: false
+        use_imagenet_stats: true
+        video_backend: torchcodec
+env:
+    value: null
+eval:
+    value:
+        batch_size: 50
+        n_episodes: 50
+        use_async_envs: false
+eval_freq:
+    value: 20000
+job_name:
+    value: act_so101_3cube_1ksteps
+log_freq:
+    value: 200
+num_workers:
+    value: 4
+optimizer:
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