# Phase 4 step 1: tiny backbone pretrained from scratch on the synthetic TRAIN split (char-level), workspace off.
name: p4_tiny_backbone
seed: 1
mode: backbone_only
model: {name: tiny_p4, vocab_size: 128, d_model: 192, n_layers: 4, n_heads: 6, n_kv_heads: 2, ffn_width: 512,
        max_seq_len: 320, w: 64, ffn_w: 192, n_slots: 16, n_editor_heads: 2, r_max: 8}
init: {freeze_backbone: false}
data: {kind: synthetic, tokenizer: char, splits_dir: data/splits/synthetic_v1, loss_span: all,
       eval_splits: [dev_iid, dev_template, dev_depth, dev_compose]}
train: {batch_size: 64, seq_len: 320, steps: 6000, lr: 1.0e-3, warmup: 200, weight_decay: 0.1, grad_clip: 1.0,
        log_every: 50, eval_every: 500, eval_batches: 10, ckpt_every: 2000}
em_max_items: 600