| # Block-wise AR Diffusion Config | |
| # | |
| # Key characteristics: | |
| # - 序列分块：512 tokens / 8 per block = 64 blocks | |
| # - 块内：并行扩散（双向 attention） | |
| # - 块间：自回归（只能看到前面的块） | |
| # - 训练：直接使用全 512 序列（不做课程学习） | |
| model: | |
| vocab_size: 50257 | |
| hidden_size: 768 | |
| n_blocks: 12 | |
| n_heads: 12 | |
| cond_dim: 128 | |
| max_seq_len: 512 | |
| block_size: 32 | |
| dropout: 0.0 | |
| num_levels: 2 # states: [V, 128]; mask = implicit level 2 | |
| level_sizes: [50257, 128] | |
| ancestor: | |
| lut_path: data/ancestor_lut_50257-128_top1_t1.0.pt | |
| proto_path: data/hierarchy_prototypes_50257-128.pt | |
| loss: | |
| lambda_ancestor: 0.0 # set > 0 to enable ancestor CE loss | |
| mask_only: true | |
| training: | |
| seed: 0 | |
| batch_size: 64 | |
| num_steps: 1_000_000 | |
| lr: 3.0e-4 | |
| lr_min: 3.0e-5 | |
| warmup_steps: 2000 | |
| weight_decay: 0.01 | |
| grad_clip: 1.0 | |
| dtype: bf16 | |
| compile: default # set to "off" to disable torch.compile | |
| log_interval: 100 | |
| eval_interval: 5000 | |
| save_interval: 10000 | |
| data: | |
| dataset: openwebtext | |
| seq_len: 512 | |
| cache_dir: data/owt_cache | |
| num_workers: 4 | |
| max_train_samples: null | |
| max_val_samples: 100000 | |
| mode: subsample # subsample: 1 doc/sample, BOS/EOS, random window + pad (HDLM 对齐) | |
| # pack: 跨文档拼接切块（旧行为） | |
| logging: | |
| use_wandb: true | |
| project: sad_b32_top1 | |
| save_dir: outputs/sad_b32_top1 | |