# @package _global_
# ORIGINAL FastWAM (full 30/30 MoT, 6.0B) FROM SCRATCH on fruit_pick (100
# demos, the entire dataset -- no val split, see fruit_pick_2cam.yaml).
# resume: null (Wan2.2 base video expert + ActionDiT linear-interp init).
# User decision 2026-08-09: 2 GPUs (not George's pcbnew100 4-GPU scratch
# pattern) x batch_size 8 x grad_accum 2 = global batch 32 -- matches the
# ORIGINAL place_cube_fastwam_scratch.yaml recipe shape, not pcbnew100's
# 4x8x1. 30 epochs, no validation.
#
# save_every below is a PLACEHOLDER (2445, pcbnew100's value) -- the
# launching sbatch (slurm/train_fruit_pick_fastwam_scratch.sbatch) computes
# the real value from data/fruit_pick/meta/info.json's total_frames at
# submit time and passes it as a CLI override, since fruit_pick's actual
# frame count isn't known until the data lands. Don't trust this value if
# running run_one.sh directly without that override.

defaults:
  - override /data: fruit_pick_2cam
  - override /model: lift_fastwam_full
  - _self_

# dataloading
batch_size: 8   # 2 GPUs x 8 x accum 2 = global 32
num_workers: 12

# scheduler
lr_scheduler_type: "cosine"
learning_rate: 1e-4
num_epochs: 30
max_steps: null
log_every: 10
save_every: 2445   # PLACEHOLDER -- overridden at launch, see header
eval_every: 0

# training
gradient_accumulation_steps: 2
weight_decay: 1e-2
resume: null