Merge branch 'tidy_diffusion_config' into update_diffusion_model

lerobot/configs/policy/diffusion.yaml

@@ -103,29 +103,3 @@ optimizer:
   betas: [0.95, 0.999]
   eps: 1.0e-8
   weight_decay: 1.0e-6
-
-training:
-  device: "cuda:0"
-  seed: 42
-  debug: False
-  resume: True
-  # optimization
-  # lr_scheduler: cosine
-  # lr_warmup_steps: 500
-  num_epochs: 8000
-  # gradient_accumulate_every: 1
-  # EMA destroys performance when used with BatchNorm
-  # replace BatchNorm with GroupNorm.
-  # use_ema: True
-  freeze_encoder: False
-  # training loop control
-  # in epochs
-  rollout_every: 50
-  checkpoint_every: 50
-  val_every: 1
-  sample_every: 5
-  # steps per epoch
-  max_train_steps: null
-  max_val_steps: null
-  # misc
-  tqdm_interval_sec: 1.0