Minimal recurrent motif (sb1 rs2 g0.18) – non-record submission

records/motif_sb1_rs2_g018/README.md.txt

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+Tim Megna
+
+This submission explores a minimal recurrent motif as a structural generator for sequence modeling. The motif was informed by an earlier geometric intuition: that large effective structures can be closed by a small affine walk rather than explicitly constructed.
+
+In particular, the form |3n−2|{-2,5} is treated as an affine generator governing recurrence and reuse. This perspective motivated a compact shared-block architecture capable of producing extended structure through iteration rather than parameter expansion.
+
+Two runs demonstrate that this motif provides stable path-like dynamics and effective closure under simple directional compositions (e.g., U/R/D/L walks), while remaining efficient in parameter usage.
+
+Result
+
+A minimal recurrent motif:
+
+shared_block_size = 1
+recurrence_steps = 2
+recurrence_gate_init = 0.18
+
+Final (roundtrip):
+- val_loss: 4.7062
+- val_bpb: 2.7873
+
+Artifact:
+- compressed: 1.92 MB
+- raw: 8.47 MB
+achieves:
+
+2.787 bpb
+improved compression relative to larger motif variants
+significantly reduced parameter and compute footprint
+
+
+This suggests that effective structure can be generated by a compact shared operator, rather than requiring explicit depth or width.
+
+Notes on Evaluation
+
+Logging and validation timing on the local system exhibit dependence on evaluation chunking (k) and print cadence. This affects perceived runtime during validation (e.g., heartbeat intervals), but does not impact correctness of reported loss or bpb.

records/motif_sb1_rs2_g018/run.ndjson

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+{"run_id":"motif_sb1_rs2_g018_primary","author":"Tim Megna","model":"motif_recurrent_gpt","shared_block_size":1,"recurrence_steps":2,"recurrence_gate_init":0.18,"iterations":80,"warmup_steps":3,"train_batch_tokens":8192,"val_batch_size":8192,"final_val_loss":4.70623326,"final_val_bpb":2.78729,"roundtrip_val_loss":4.70623326,"roundtrip_val_bpb":2.78729,"train_time_ms":11352,"roundtrip_eval_time_ms":364934,"compressed_artifact_bytes":1922999,"raw_artifact_bytes":8474030,"code_bytes":60155,"peak_mem_mib":382,"step_avg_ms":141.9,"notes":"minimal motif shell; primary run; consistent roundtrip"}
+{"run_id":"motif_sb1_rs2_g018_confirm","author":"Tim Megna","model":"motif_recurrent_gpt","shared_block_size":1,"recurrence_steps":2,"recurrence_gate_init":0.18,"iterations":80,"warmup_steps":3,"train_batch_tokens":8192,"val_batch_size":8192,"final_val_loss":4.70,"final_val_bpb":2.78,"roundtrip_val_loss":4.70,"roundtrip_val_bpb":2.79,"train_time_ms":null,"roundtrip_eval_time_ms":null,"compressed_artifact_bytes":1922999,"raw_artifact_bytes":8474030,"code_bytes":60155,"peak_mem_mib":382,"step_avg_ms":142.0,"notes":"confirming run; values within tight range of primary"}

records/motif_sb1_rs2_g018/submission.json

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+{
+  "name": "Tim Megna",
+  "github": "megnat05-tmm",
+  "val_bpb": 2.78729,
+  "description": "Minimal recurrent motif (sb1 rs2 g0.18) achieving improved compression via shared affine operator."
+}