groot model - 🧪 phosphobot training pipeline
- Dataset: BoscoWong/17-01-2025_test1
- Wandb run id: None
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: argument --policy.type: invalid choice: 'groot' (choose from 'act', 'diffusion', 'pi0', 'smolvla', 'tdmpc', 'vqbet', 'pi0fast', 'sac', 'reward_classifier')
Training parameters
{
"validation_dataset_name": null,
"batch-size": 49,
"num-epochs": 10,
"save-steps": 3000,
"learning_rate": 0.0001,
"steps": 3000
}
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