act model - 🧪 phosphobot training pipeline

Error Traceback

We faced an issue while training your model.

Training process failed with exit code 2:
[--scheduler.num_cycles str]
[--scheduler.num_warmup_steps str]
[--scheduler.num_decay_steps str] [--scheduler.peak_lr str]
[--scheduler.decay_lr str] [--eval str]
[--eval.n_episodes str] [--eval.batch_size str]
[--eval.use_async_envs str] [--wandb str] [--wandb.enable str]
[--wandb.disable_artifact str] [--wandb.project str]
[--wandb.entity str] [--wandb.notes str] [--wandb.run_id str]
[--wandb.mode str]
train.py: error: unrecognized arguments: --training={'log_interval': 100, 'early_stopping': {'enabled': True, 'patience': 10}, 'mixed_precision': True, 'multi_camera': True} --model={'chunk_length': 10, 'action_horizon': 10, 'action_smoothing': True} --augmentations={'color_jitter': 0.1, 'gaussian_noise': 0.01, 'random_resized_crop': 0.1, 'horizontal_flip': False}

Training parameters

{
  "batch_size": 32,
  "steps": 30000,
  "save_freq": 5000,
  "target_detection_instruction": "red ball, green cup",
  "image_key": "observation.images.main",
  "image_keys_to_keep": [
    "observation.images.main",
    "observation.images.secondary_0"
  ],
  "training": {
    "log_interval": 100,
    "early_stopping": {
      "enabled": true,
      "patience": 10
    },
    "mixed_precision": true,
    "multi_camera": true
  },
  "optimizer": {
    "type": "adamw",
    "learning_rate": 0.0001,
    "weight_decay": 1e-6,
    "grad_clip_norm": 1
  },
  "model": {
    "chunk_length": 10,
    "action_horizon": 10,
    "action_smoothing": true
  },
  "augmentations": {
    "color_jitter": 0.1,
    "gaussian_noise": 0.01,
    "random_resized_crop": 0.1,
    "horizontal_flip": false
  }
}

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Dataset used to train phospho-app/ACT_BBOX-ball20251109b-pbif72eno6