Datasets:
File size: 2,986 Bytes
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"protocol": "recursive_block_multiply",
"seed_operands": "seed + 91",
"seed_offsets": "seed + 17",
"base_cutoff": 2,
"max_position_id": 512,
"digit_order": "least-significant first",
"runs": {
"scratch_pretrain": {
"updates": 15000,
"batch_size": 64,
"seed": 42,
"mix_weights": [
0.4,
0.3,
0.3
],
"split_train_max": 8,
"split_copy_max": 32,
"combine_k_max": 16,
"combine_r_max": 12,
"learned_router": false,
"exact_replay": false,
"checkpoint": "checkpoints/recursive_block.pt (later overwritten by allk)",
"notes": "First 15k steps from random init. Replay uses the current sampler; early combine / split encoding lived in salt_cert_recursive.py and may not be bit-identical."
},
"combine_finetune": {
"updates": 10000,
"batch_size": 64,
"seed": 42,
"mix_weights": [
0.1,
0.1,
0.8
],
"split_train_max": 8,
"split_copy_max": 32,
"combine_k_max": 16,
"combine_r_max": 12,
"learned_router": false,
"exact_replay": false,
"checkpoint": "runs/mult_transformer/recursive_block_combine.pt",
"notes": "Combine-heavy finetune. Replay uses the current sampler."
},
"combine_k2_finetune": {
"updates": 10000,
"batch_size": 64,
"seed": 42,
"mix_weights": [
0.1,
0.1,
0.8
],
"split_train_max": 8,
"split_copy_max": 32,
"combine_k_max": 16,
"combine_r_max": 32,
"learned_router": false,
"exact_replay": false,
"checkpoint": "runs/mult_transformer/recursive_block_combine_k2.pt",
"notes": "Same mix as combine_finetune with longer combine operands (r_max=32)."
},
"allk_finetune": {
"updates": 10000,
"batch_size": 64,
"seed": 42,
"mix_weights": [
0.15,
0.1,
0.75
],
"split_train_max": 8,
"split_copy_max": 32,
"combine_k_max": 16,
"combine_r_max": 32,
"learned_router": false,
"exact_replay": false,
"checkpoint": "checkpoints/recursive_block.pt",
"notes": "Last length-gated checkpoint (SPLIT already in the split prompt). Init for the router run. Replay uses the current sampler."
},
"router_finetune": {
"updates": 10000,
"batch_size": 64,
"seed": 42,
"mix_weights": [
0.25,
0.4,
0.35
],
"split_train_max": 12,
"split_copy_max": 32,
"combine_k_max": 16,
"combine_r_max": 32,
"learned_router": true,
"exact_replay": true,
"checkpoint": "checkpoints/recursive_block_router.pt",
"notes": "10k finetune from recursive_block.pt. Same code path as train_recursive after the learned-router change. This is the dump that matches the public 8x8 97.7% checkpoint."
}
},
"regenerate": "python export_training_data.py --output data/hf"
}
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