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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}1{
2 "batch_size": 32,
3 "steps": 30000,
4 "save_freq": 5000,
5 "target_detection_instruction": "red ball, green cup",
6 "image_key": "observation.images.main",
7 "image_keys_to_keep": [
8 "observation.images.main",
9 "observation.images.secondary_0"
10 ],
11 "training": {
12 "log_interval": 100,
13 "early_stopping": {
14 "enabled": true,
15 "patience": 10
16 },
17 "mixed_precision": true,
18 "multi_camera": true
19 },
20 "optimizer": {
21 "type": "adamw",
22 "learning_rate": 0.0001,
23 "weight_decay": 1e-6,
24 "grad_clip_norm": 1
25 },
26 "model": {
27 "chunk_length": 10,
28 "action_horizon": 10,
29 "action_smoothing": true
30 },
31 "augmentations": {
32 "color_jitter": 0.1,
33 "gaussian_noise": 0.01,
34 "random_resized_crop": 0.1,
35 "horizontal_flip": false
36 }
37}