From d84a3e819100504d96879e1e36d022efa5cbb81b Mon Sep 17 00:00:00 2001
From: Matthew Li <156706407+mattqlf@users.noreply.github.com>
Date: Thu, 19 Mar 2026 13:28:12 -0400
Subject: Add record: Sliding Window Eval (stride=64), val_bpb=1.1925 (#50)

---
 .../2026-03-19_SlidingWindowEval/submission.json        | 17 +++++++++++++++++
 1 file changed, 17 insertions(+)
 create mode 100644 records/track_10min_16mb/2026-03-19_SlidingWindowEval/submission.json

(limited to 'records/track_10min_16mb/2026-03-19_SlidingWindowEval/submission.json')

diff --git a/records/track_10min_16mb/2026-03-19_SlidingWindowEval/submission.json b/records/track_10min_16mb/2026-03-19_SlidingWindowEval/submission.json
new file mode 100644
index 0000000..d25b325
--- /dev/null
+++ b/records/track_10min_16mb/2026-03-19_SlidingWindowEval/submission.json
@@ -0,0 +1,17 @@
+{
+  "author": "Matthew Li",
+  "github_id": "mattqlf",
+  "name": "Sliding Window Eval (stride=64)",
+  "blurb": "Baseline 9x512 SP-1024 architecture with sliding window evaluation at stride=64. Each token is scored with 960+ tokens of context instead of the baseline's 0-1023. Training is identical to the naive baseline; the improvement comes entirely from the evaluation strategy. Post-quant int8+zlib roundtrip under the 16,000,000-byte cap.",
+  "date": "2026-03-19T04:48:00Z",
+  "val_loss": 2.01348383,
+  "val_bpb": 1.19250007,
+  "pre_quant_val_loss": 2.0592,
+  "pre_quant_val_bpb": 1.2196,
+  "step_stop": 13450,
+  "wallclock_seconds": 600.028,
+  "eval_time_seconds": 69.881,
+  "bytes_total": 15874829,
+  "bytes_model_int8_zlib": 15816489,
+  "bytes_code": 58340
+}
\ No newline at end of file
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