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+                    - --dataset.repo_id=AmdRamen/mission1_record_edited
+                    - --batch_size=64
+                    - --steps=10000
+                    - --output_dir=/workspace/outputs/train/act_mission3
+                    - --job_name=act_mission3
+                    - --policy.device=cuda
+                    - --policy.type=act
+                    - --policy.push_to_hub=false
+                    - --wandb.enable=true
+                cpu_count: 160
+                cpu_count_logical: 160
+                disk:
+                    /:
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+                        used: "790434836480"
+                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: "0xcc07fb4719633876"
+                      vbiosVersion: 113-M3000100-103
+                      vendor: Advanced Micro Devices, Inc. [AMD/ATI]
+                gpu_count: 1
+                host: robotics-jupyter-launcher-4360
+                memory:
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+                os: Linux-6.1.0-39-amd64-x86_64-with-glibc2.39
+                program: /opt/venv/bin/lerobot-train
+                python: CPython 3.12.3
+                root: /workspace/outputs/train/act_mission3
+                startedAt: "2025-12-06T00:54:55.913293Z"
+                writerId: wqxdc1w0muy9ke859532t1lmescbho6l
+        m: []
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+batch_size:
+    value: 64
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+    value: null
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+            enable: false
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+            random_order: false
+            tfs:
+                affine:
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+                            - -5
+                            - 5
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+                sharpness:
+                    kwargs:
+                        sharpness:
+                            - 0.5
+                            - 1.5
+                    type: SharpnessJitter
+                    weight: 1
+        repo_id: AmdRamen/mission1_record_edited
+        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_mission3
+log_freq:
+    value: 200
+num_workers:
+    value: 4
+optimizer:
+    value:
+        betas:
+            - 0.9
+            - 0.999
+        eps: 1e-08
+        grad_clip_norm: 10
+        lr: 1e-05
+        type: adamw
+        weight_decay: 0.0001
+output_dir:
+    value: /workspace/outputs/train/act_mission3
+policy:
+    value:
+        chunk_size: 100
+        device: cuda
+        dim_feedforward: 3200
+        dim_model: 512
+        dropout: 0.1
+        feedforward_activation: relu
+        kl_weight: 10
+        latent_dim: 32
+        license: null
+        n_action_steps: 100
+        n_decoder_layers: 1
+        n_encoder_layers: 4
+        n_heads: 8
+        n_obs_steps: 1
+        n_vae_encoder_layers: 4
+        normalization_mapping:
+            ACTION: MEAN_STD
+            STATE: MEAN_STD
+            VISUAL: MEAN_STD
+        optimizer_lr: 1e-05
+        optimizer_lr_backbone: 1e-05
+        optimizer_weight_decay: 0.0001
+        pre_norm: false
+        pretrained_backbone_weights: ResNet18_Weights.IMAGENET1K_V1
+        pretrained_path: null
+        private: null
+        push_to_hub: false
+        replace_final_stride_with_dilation: false
+        repo_id: null
+        tags: null
+        temporal_ensemble_coeff: null
+        type: act
+        use_amp: false
+        use_vae: true
+        vision_backbone: resnet18
+resume:
+    value: false
+save_checkpoint:
+    value: true
+save_freq:
+    value: 20000
+scheduler:
+    value: null
+seed:
+    value: 1000
+steps:
+    value: 10000
+use_policy_training_preset:
+    value: true
+wandb:
+    value:
+        disable_artifact: false
+        enable: true
+        entity: null
+        mode: null
+        notes: null
+        project: lerobot
+        run_id: null

wandb/run-20251206_005455-fytl4nqj/files/output.log

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+INFO 2025-12-06 00:54:56 db_utils.py:102 Logs will be synced with wandb.
+INFO 2025-12-06 00:54:56 db_utils.py:103 Track this run --> https://wandb.ai/amd_hackathon_ramen/lerobot/runs/fytl4nqj
+INFO 2025-12-06 00:54:56 ot_train.py:183 Creating dataset
+INFO 2025-12-06 00:54:56 ot_train.py:202 Creating policy
+INFO 2025-12-06 00:54:57 ot_train.py:247 Creating optimizer and scheduler
+INFO 2025-12-06 00:54:57 ot_train.py:259 Output dir: /workspace/outputs/train/act_mission3
+INFO 2025-12-06 00:54:57 ot_train.py:262 cfg.steps=10000 (10K)
+INFO 2025-12-06 00:54:57 ot_train.py:263 dataset.num_frames=10351 (10K)
+INFO 2025-12-06 00:54:57 ot_train.py:264 dataset.num_episodes=18
+INFO 2025-12-06 00:54:57 ot_train.py:267 Effective batch size: 64 x 1 = 64
+INFO 2025-12-06 00:54:57 ot_train.py:268 num_learnable_params=51597190 (52M)
+INFO 2025-12-06 00:54:57 ot_train.py:269 num_total_params=51597190 (52M)
+INFO 2025-12-06 00:54:57 ot_train.py:324 Start offline training on a fixed dataset
+INFO 2025-12-06 00:57:16 ot_train.py:351 step:200 smpl:13K ep:22 epch:1.24 loss:5.418 grdn:78.522 lr:1.0e-05 updt_s:0.651 data_s:0.043
+INFO 2025-12-06 00:58:13 ot_train.py:351 step:400 smpl:26K ep:45 epch:2.47 loss:2.053 grdn:34.066 lr:1.0e-05 updt_s:0.254 data_s:0.029
+INFO 2025-12-06 00:59:09 ot_train.py:351 step:600 smpl:38K ep:67 epch:3.71 loss:1.573 grdn:33.456 lr:1.0e-05 updt_s:0.253 data_s:0.030
+INFO 2025-12-06 01:00:07 ot_train.py:351 step:800 smpl:51K ep:89 epch:4.95 loss:1.231 grdn:28.238 lr:1.0e-05 updt_s:0.253 data_s:0.032
+INFO 2025-12-06 01:01:09 ot_train.py:351 step:1K smpl:64K ep:111 epch:6.18 loss:0.968 grdn:24.788 lr:1.0e-05 updt_s:0.252 data_s:0.060
+INFO 2025-12-06 01:02:06 ot_train.py:351 step:1K smpl:77K ep:134 epch:7.42 loss:0.771 grdn:23.083 lr:1.0e-05 updt_s:0.253 data_s:0.032
+INFO 2025-12-06 01:03:04 ot_train.py:351 step:1K smpl:90K ep:156 epch:8.66 loss:0.610 grdn:20.872 lr:1.0e-05 updt_s:0.253 data_s:0.034
+INFO 2025-12-06 01:04:01 ot_train.py:351 step:2K smpl:102K ep:178 epch:9.89 loss:0.492 grdn:19.151 lr:1.0e-05 updt_s:0.253 data_s:0.032
+INFO 2025-12-06 01:05:03 ot_train.py:351 step:2K smpl:115K ep:200 epch:11.13 loss:0.400 grdn:17.442 lr:1.0e-05 updt_s:0.254 data_s:0.059
+INFO 2025-12-06 01:06:00 ot_train.py:351 step:2K smpl:128K ep:223 epch:12.37 loss:0.331 grdn:15.961 lr:1.0e-05 updt_s:0.253 data_s:0.033
+INFO 2025-12-06 01:06:58 ot_train.py:351 step:2K smpl:141K ep:245 epch:13.60 loss:0.281 grdn:15.139 lr:1.0e-05 updt_s:0.253 data_s:0.036
+INFO 2025-12-06 01:07:56 ot_train.py:351 step:2K smpl:154K ep:267 epch:14.84 loss:0.244 grdn:13.705 lr:1.0e-05 updt_s:0.253 data_s:0.038
+INFO 2025-12-06 01:09:00 ot_train.py:351 step:3K smpl:166K ep:289 epch:16.08 loss:0.216 grdn:13.436 lr:1.0e-05 updt_s:0.253 data_s:0.063
+INFO 2025-12-06 01:09:57 ot_train.py:351 step:3K smpl:179K ep:312 epch:17.31 loss:0.196 grdn:12.866 lr:1.0e-05 updt_s:0.253 data_s:0.036
+INFO 2025-12-06 01:10:55 ot_train.py:351 step:3K smpl:192K ep:334 epch:18.55 loss:0.179 grdn:12.783 lr:1.0e-05 updt_s:0.254 data_s:0.035
+INFO 2025-12-06 01:11:53 ot_train.py:351 step:3K smpl:205K ep:356 epch:19.79 loss:0.166 grdn:11.441 lr:1.0e-05 updt_s:0.252 data_s:0.035
+INFO 2025-12-06 01:12:50 ot_train.py:351 step:3K smpl:218K ep:378 epch:21.02 loss:0.155 grdn:11.232 lr:1.0e-05 updt_s:0.252 data_s:0.035
+INFO 2025-12-06 01:13:52 ot_train.py:351 step:4K smpl:230K ep:401 epch:22.26 loss:0.146 grdn:11.090 lr:1.0e-05 updt_s:0.253 data_s:0.059
+INFO 2025-12-06 01:14:50 ot_train.py:351 step:4K smpl:243K ep:423 epch:23.50 loss:0.137 grdn:10.513 lr:1.0e-05 updt_s:0.253 data_s:0.035
+INFO 2025-12-06 01:15:48 ot_train.py:351 step:4K smpl:256K ep:445 epch:24.73 loss:0.131 grdn:10.420 lr:1.0e-05 updt_s:0.253 data_s:0.036
+INFO 2025-12-06 01:16:46 ot_train.py:351 step:4K smpl:269K ep:467 epch:25.97 loss:0.125 grdn:10.228 lr:1.0e-05 updt_s:0.253 data_s:0.038
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+INFO 2025-12-06 01:22:44 ot_train.py:351 step:5K smpl:346K ep:601 epch:33.39 loss:0.100 grdn:9.187 lr:1.0e-05 updt_s:0.254 data_s:0.036
+INFO 2025-12-06 01:23:42 ot_train.py:351 step:6K smpl:358K ep:623 epch:34.62 loss:0.097 grdn:8.771 lr:1.0e-05 updt_s:0.253 data_s:0.035
+INFO 2025-12-06 01:24:39 ot_train.py:351 step:6K smpl:371K ep:646 epch:35.86 loss:0.094 grdn:8.387 lr:1.0e-05 updt_s:0.252 data_s:0.034
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+INFO 2025-12-06 01:45:22 ot_train.py:351 step:10K smpl:640K ep:1K epch:61.83 loss:0.061 grdn:6.405 lr:1.0e-05 updt_s:0.253 data_s:0.037
+INFO 2025-12-06 01:45:22 ot_train.py:361 Checkpoint policy after step 10000
+INFO 2025-12-06 01:45:24 ot_train.py:430 End of training

wandb/run-20251206_005455-fytl4nqj/files/requirements.txt

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