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Update index.html
Browse files- index.html +162 -154
index.html
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<style>
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:root {
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--bg: #09090b;
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--bg2: #
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--surface: #141418;
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--surface2: #
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--border:
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--border2:
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--text: #
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--muted: #
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--muted2: #
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--silver: #
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--silver2: #
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--
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--shadow: 0 18px 50px rgba(0,0,0,0.40);
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--radius: 22px;
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}
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html { scroll-behavior: smooth; }
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body {
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margin: 0;
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font-family: Inter, ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
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background:
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radial-gradient(circle at top left, rgba(255,255,255,0.06), transparent 28%),
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radial-gradient(circle at bottom right, rgba(255,255,255,0.04), transparent 24%),
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linear-gradient(180deg, var(--bg), #070708 60%, #050506);
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color: var(--text);
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min-height: 100vh;
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padding: 28px;
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}
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.app {
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gap: 18px;
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}
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.hero {
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background: linear-gradient(180deg, rgba(255,255,255,0.05), rgba(255,255,255,0.02));
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border: 1px solid rgba(255,255,255,0.08);
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border-radius: calc(var(--radius) + 4px);
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padding: 24px
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box-shadow: var(--shadow);
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position: relative;
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overflow: hidden;
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}
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@@ -58,32 +60,33 @@
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content: "";
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position: absolute;
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inset: 0;
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background: linear-gradient(90deg, rgba(255,255,255,0.03), transparent
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pointer-events: none;
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}
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.eyebrow {
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text-transform: uppercase;
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letter-spacing: 0.22em;
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color: var(--silver2);
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font-size: 11px;
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margin-bottom: 10px;
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}
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h1 {
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margin: 0;
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font-size: clamp(34px, 5vw,
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line-height: 0.96;
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letter-spacing: -0.06em;
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font-weight:
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}
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.title-silver { color: var(--silver);
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.sub {
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margin: 14px 0 0;
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color: var(--muted);
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max-width:
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line-height: 1.7;
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}
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.layout {
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align-items: start;
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}
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.panel
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background: linear-gradient(180deg, rgba(255,255,255,0.035), rgba(255,255,255,0.015));
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border: 1px solid rgba(255,255,255,0.08);
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border-radius: var(--radius);
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}
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.panel { padding: 18px; position: sticky; top: 18px; }
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.panel h2, .chart-card h2, .list-card h2 {
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margin: 0 0 14px;
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font-size: 14px;
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}
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button {
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border: 1px solid rgba(255,255,255,0.
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background: rgba(255,255,255,0.03);
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color: var(--muted);
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padding: 10px 12px;
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font-size: 13px;
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}
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button:hover {
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button.active {
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color: #
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border-color: rgba(
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background: linear-gradient(180deg, rgba(
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box-shadow: 0 0 0 1px rgba(255,255,255,0.03) inset;
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}
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padding: 14px;
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}
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.stat .k {
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.chart-card {
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padding: 16px 16px 10px;
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min-height: 640px;
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}
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}
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.chart-title {
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font-size: 18px;
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font-weight:
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letter-spacing: -0.03em;
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margin: 0;
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}
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.chart-sub {
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font-size: 13px;
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}
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canvas { width: 100% !important; height: 540px !important; }
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.badge {
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padding: 8px 12px;
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border-radius: 999px;
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background: rgba(
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border: 1px solid rgba(
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color: var(--silver);
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font-size: 13px;
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white-space: nowrap;
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}
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.model-list {
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display: grid;
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gap: 10px;
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border-radius: 16px;
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background: rgba(255,255,255,0.025);
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border: 1px solid rgba(255,255,255,0.06);
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}
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.model-
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.small-note { color: var(--muted2); font-size: 12px; line-height: 1.6; margin-top: 10px; }
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.codebox {
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background: rgba(0,0,0,0.24);
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border: 1px solid rgba(255,255,255,0.08);
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border-radius: 16px;
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padding: 14px;
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color: #d9d9df;
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font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, monospace;
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font-size: 12px;
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line-height: 1.6;
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overflow: auto;
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}
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@media (max-width: 1050px) {
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.layout { grid-template-columns: 1fr; }
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.panel { position: static; }
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<div class="eyebrow">Regression explorer</div>
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<h1><span class="title-silver">Silver</span> benchmark fit line</h1>
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<p class="sub">
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Pick a benchmark, fit a linear regression on <b>log10(parameters)</b>, and
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Hover any dot to
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</p>
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</section>
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<div class="section">
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<span class="section-label">Regression stats</span>
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<div class="stat-grid">
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<div class="stat">
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</div>
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<div class="stat">
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<div class="k">Intercept</div>
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<div class="v" id="statIntercept">—</div>
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</div>
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<div class="stat">
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<div class="k">MSE</div>
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<div class="v" id="statLoss">—</div>
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</div>
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<div class="stat">
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<div class="k">RMSE</div>
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<div class="v" id="statRmse">—</div>
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</div>
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</div>
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<div class="small-note" id="fitNote">The
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</div>
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<div class="section">
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<span class="section-label">Add models easily</span>
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<div class="codebox">{
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name: "MyModel-12M",
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params: 12000000,
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org: "me",
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avg: 0.361,
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arc: 0.35,
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hellaswag: 0.28,
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piqa: 0.57,
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arcChall: 0.21,
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arithmark2: 0.30
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}</div>
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<div class="small-note">Just add another object to <b>MODELS</b>. If a field is missing, it will be ignored for that benchmark.</div>
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</div>
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</aside>
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<div class="chart-top">
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<div>
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<h2 class="chart-title" id="chartTitle">Average score vs log parameters</h2>
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<p class="chart-sub" id="chartSub">
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</div>
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<div class="badge" id="countBadge">0 models</div>
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</div>
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</div>
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<script>
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// Edit this
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// score values are in percent form (0-100) for easier reading.
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const MODELS = [
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{ name: 'SmolLM2-135M', org: 'HuggingFace', params: 135000000, avg: 51.78, arc: 58.63, hellaswag: 43.22, piqa: 68.44, arcChall: 29.69, arithmark2: 32.68 },
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{ name: 'GPT-X2-125M', org: 'AxiomicLabs', params: 125081664, avg: 48.98, arc: 51.47, hellaswag: 40.41, piqa: 67.30, arcChall: 27.82, arithmark2: 30.68 },
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{ name: 'GPT-X-125M', org: 'AxiomicLabs', params: 124561728, avg: 46.41, arc: 50.76, hellaswag: 36.57, piqa: 64.96, arcChall: 26.62, arithmark2: 30.24 },
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{ name: 'MobileLLM-R1-140M', org: 'Facebook', params: 140000000, avg: 43.56, arc: 49.92, hellaswag: 33.84, piqa: 63.22, arcChall: 24.74, arithmark2: 53.56 },
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{ name: 'Supra-50M-Base', org: 'SupraLabs', params: 51786240, avg: 42.52, arc: 45.88, hellaswag: 31.83, piqa: 62.51, arcChall: 25.00, arithmark2: 27.04 },
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{ name: 'Quark-135M', org: 'ThingAI', params: 134561088, avg: 41.61, arc: 47.73, hellaswag: 31.33, piqa: 58.32, arcChall: 28.24, arithmark2: 40.32 },
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{ name: 'OdinNext-138M', org: 'joelhenwang', params: 138449696, avg: 39.87, arc: 45.08, hellaswag: 28.09, piqa: 59.52, arcChall: 23.81, arithmark2: 36.84 },
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{ name: 'KeyLM-75M', org: 'Eclipse-Senpai', params: 75251200, avg: 38.86, arc: 35.73, hellaswag: 29.66, piqa: 60.50, arcChall: 23.98, arithmark2: 25.80 },
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{ name: 'michel-micro', org: 'finnianx', params: 28355072, avg: 38.03, arc: 38.51, hellaswag: 28.16, piqa: 57.62, arcChall: 23.29, arithmark2: 26.04 },
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{ name: 'Veyra-30M-Base', org: 'veyra-ai', params: 34611712, avg: 36.92, arc: 35.90, hellaswag: 27.92, piqa: 58.92, arcChall: 24.15, arithmark2: 26.76 },
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{ name: 'Er-Medium-12.5M', org: 'FromZero', params: 12497520, avg: 36.68, arc: 35.10, hellaswag: 28.50, piqa: 57.51, arcChall: 20.73, arithmark2: 30.88 },
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{ name: 'GPT-S-1.4M', org: 'AxiomicLabs', params: 1426000, avg: 33.41, arc: 31.57, hellaswag: 26.89, piqa: 55.17, arcChall: 21.93, arithmark2: 25.16 },
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{ name: 'Dillionv2-1.3M', org: 'Harley-ml', params: 1285200, avg: 32.92, arc: 29.71, hellaswag: 27.27, piqa: 53.05, arcChall: 22.44, arithmark2: 27.00 },
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{ name: 'Tenete-8M', org: 'Harley-ml', params: 8293120, avg: 33.85, arc: 31.69, hellaswag: 26.75, piqa: 55.66, arcChall: 21.84, arithmark2: 26.72 },
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{ name: 'Syn-2.6M', org: 'FromZero', params: 2604210, avg: 33.31, arc: 32.03, hellaswag: 26.96, piqa: 53.65, arcChall: 20.39, arithmark2: 26.68 }
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];
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const BENCHMARKS = [
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{ key: 'arcChall', label: 'ARC-Challenge' },
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{ key: 'hellaswag', label: 'HellaSwag' },
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{ key: 'piqa', label: 'PIQA' },
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{ key: 'arithmark2', label: 'ArithMark-2' }
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];
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let activeBenchmark = 'avg';
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let chart;
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return
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function linearRegression(points) {
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const n = points.length;
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return { slope, intercept };
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}
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function computeLoss(
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const residuals =
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const
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return y - (slope * x + intercept);
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});
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const mse = mean(residuals.map(r => r * r));
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const rmse = Math.sqrt(mse);
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org: m.org,
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params: m.params,
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paramsDisplay: formatParams(m.params),
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x: Math.log10(m.params),
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y: getScore(m, activeBenchmark)
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}))
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.sort((a, b) => a.x - b.x);
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}
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function formatParams(n) {
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if (n >= 1e9) return `${(n / 1e9).toFixed(2)}B`;
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if (n >= 1e6) return `${(n / 1e6).toFixed(2)}M`;
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if (n >= 1e3) return `${(n / 1e3).toFixed(2)}K`;
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return String(n);
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}
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function renderBenchmarkButtons() {
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const box = document.getElementById('benchmarkButtons');
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box.innerHTML = BENCHMARKS.map(b => `
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function renderModelList(data) {
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const list = document.getElementById('modelList');
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list.innerHTML = data.map(m => `
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<div class="model-row">
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<div>
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<div class="model-name">${m.name}</div>
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<div class="model-meta">${m.org} · ${m.paramsDisplay}</div>
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<div class="model-score">y=${m.y.toFixed(2)}%</div>
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</div>
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`).join('');
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}
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function updateStats(slope, intercept, mse, rmse, count) {
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const points = data.map(d => ({ x: d.x, y: d.y }));
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const { slope, intercept } = linearRegression(points);
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const { mse, rmse, residuals } = computeLoss(data, activeBenchmark, slope, intercept);
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data.forEach((d, i) => d.residual = residuals[i]);
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updateStats(slope, intercept, mse, rmse, data.length);
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renderModelList(data);
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};
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document.getElementById('chartTitle').textContent = titleMap[activeBenchmark] || activeBenchmark;
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document.getElementById('chartSub').textContent = `Linear fit on ${BENCHMARKS.find(b => b.key === activeBenchmark)?.label || activeBenchmark}.
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document.getElementById('fitNote').textContent = `Regression loss
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const ctx = document.getElementById('scatterChart').getContext('2d');
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if (chart) chart.destroy();
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{ x: xLow, y: yLow },
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{ x: xHigh, y: yHigh }
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],
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borderColor: 'rgba(
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borderWidth:
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pointRadius: 0,
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tension: 0,
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fill: false,
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pointRadius: 7,
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pointHoverRadius: 10,
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borderWidth: 1.5,
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borderColor: 'rgba(255,255,255,0.
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order: 2
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maintainAspectRatio: false,
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animation: { duration: 0 },
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interaction: { mode: 'nearest', intersect: true },
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plugins: {
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legend: { display: false },
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tooltip: {
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backgroundColor: 'rgba(15,15,18,0.
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titleColor: '#ffffff',
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bodyColor: '#
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padding: 12,
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displayColors: false,
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callbacks: {
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title: (items) => items[0]?.raw?.name || '',
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label: (item) => {
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const d = item.raw;
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const y = d.y;
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const pred = slope * d.x + intercept;
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const resid = y - pred;
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return [
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`Params: ${formatParams(d.params)} (${d.params.toLocaleString()})`,
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`Score: ${y.toFixed(2)}%`,
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`Residual: ${resid >= 0 ? '+' : ''}${resid.toFixed(2)} pts`,
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`Prediction: ${pred.toFixed(2)}%`
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];
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grid: { color: 'rgba(255,255,255,0.045)' },
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ticks: {
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color: '#
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callback: v => `10^${Number(v).toFixed(1)}`
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},
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title: {
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display: true,
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text: 'Log₁₀(parameters)',
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font: { weight: '600' }
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}
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},
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grid: { color: 'rgba(255,255,255,0.045)' },
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ticks: {
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color: '#
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callback: v => `${v.toFixed(0)}%`
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},
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title: {
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display: true,
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text: 'Score (%)',
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render();
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font-family: Inter, ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
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color: var(--text);
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radial-gradient(circle at top left, rgba(255,255,255,0.07), transparent 28%),
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}
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h1 {
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line-height: 0.96;
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letter-spacing: -0.06em;
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font-weight: 850;
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}
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margin: 14px 0 0;
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color: var(--muted);
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button.active {
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color: #fafafa;
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border-color: rgba(221,224,230,0.45);
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background: linear-gradient(180deg, rgba(221,224,230,0.18), rgba(221,224,230,0.08));
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box-shadow: 0 0 0 1px rgba(255,255,255,0.03) inset;
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padding: 14px;
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}
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}
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}
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.badge {
|
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padding: 8px 12px;
|
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border-radius: 999px;
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background: rgba(221,224,230,0.08);
|
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border: 1px solid rgba(221,224,230,0.16);
|
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color: var(--silver);
|
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font-size: 13px;
|
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white-space: nowrap;
|
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}
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canvas { width: 100% !important; height: 540px !important; }
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|
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padding: 16px;
|
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.model-list {
|
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display: grid;
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gap: 10px;
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border-radius: 16px;
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background: rgba(255,255,255,0.025);
|
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border: 1px solid rgba(255,255,255,0.06);
|
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+
transition: transform 0.12s ease, border-color 0.12s ease, background 0.12s ease;
|
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cursor: pointer;
|
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}
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transform: translateY(-1px);
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border-color: rgba(221,224,230,0.20);
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background: rgba(221,224,230,0.045);
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}
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.model-name { font-weight: 700; }
|
| 266 |
+
.model-meta, .model-score { color: var(--muted); font-size: 12px; }
|
| 267 |
+
.model-score { color: var(--silver); font-variant-numeric: tabular-nums; }
|
| 268 |
+
|
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@media (max-width: 1050px) {
|
| 270 |
.layout { grid-template-columns: 1fr; }
|
| 271 |
.panel { position: static; }
|
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|
| 287 |
<div class="eyebrow">Regression explorer</div>
|
| 288 |
<h1><span class="title-silver">Silver</span> benchmark fit line</h1>
|
| 289 |
<p class="sub">
|
| 290 |
+
Pick a benchmark, fit a linear regression on <b>log10(parameters)</b>, and inspect each model against the line.
|
| 291 |
+
Hover any dot to see the model name, and click the dot to open its model page.
|
| 292 |
</p>
|
| 293 |
</section>
|
| 294 |
|
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|
| 304 |
<div class="section">
|
| 305 |
<span class="section-label">Regression stats</span>
|
| 306 |
<div class="stat-grid">
|
| 307 |
+
<div class="stat"><div class="k">Slope</div><div class="v" id="statSlope">—</div></div>
|
| 308 |
+
<div class="stat"><div class="k">Intercept</div><div class="v" id="statIntercept">—</div></div>
|
| 309 |
+
<div class="stat"><div class="k">MSE</div><div class="v" id="statLoss">—</div></div>
|
| 310 |
+
<div class="stat"><div class="k">RMSE</div><div class="v" id="statRmse">—</div></div>
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|
| 311 |
</div>
|
| 312 |
+
<div class="small-note" id="fitNote">The fit updates instantly when you switch benchmarks.</div>
|
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</div>
|
| 314 |
</aside>
|
| 315 |
|
|
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|
| 318 |
<div class="chart-top">
|
| 319 |
<div>
|
| 320 |
<h2 class="chart-title" id="chartTitle">Average score vs log parameters</h2>
|
| 321 |
+
<p class="chart-sub" id="chartSub">Beautiful silver regression line over all featured models.</p>
|
| 322 |
</div>
|
| 323 |
<div class="badge" id="countBadge">0 models</div>
|
| 324 |
</div>
|
|
|
|
| 334 |
</div>
|
| 335 |
|
| 336 |
<script>
|
| 337 |
+
// Edit this array privately whenever you want to add or remove models.
|
|
|
|
| 338 |
const MODELS = [
|
| 339 |
+
{ name: 'SmolLM2-135M', org: 'HuggingFace', params: 135000000, avg: 51.78, arc: 58.63, hellaswag: 43.22, piqa: 68.44, arcChall: 29.69, arithmark2: 32.68, url: 'https://huggingface.co/HuggingFaceTB/SmolLM2-135M' },
|
| 340 |
+
{ name: 'GPT-X2-125M', org: 'AxiomicLabs', params: 125081664, avg: 48.98, arc: 51.47, hellaswag: 40.41, piqa: 67.30, arcChall: 27.82, arithmark2: 30.68, url: 'https://huggingface.co/AxiomicLabs/GPT-X2-125M' },
|
| 341 |
+
{ name: 'GPT-X-125M', org: 'AxiomicLabs', params: 124561728, avg: 46.41, arc: 50.76, hellaswag: 36.57, piqa: 64.96, arcChall: 26.62, arithmark2: 30.24, url: 'https://huggingface.co/AxiomicLabs/GPT-X-125M' },
|
| 342 |
+
{ name: 'MobileLLM-R1-140M', org: 'Facebook', params: 140000000, avg: 43.56, arc: 49.92, hellaswag: 33.84, piqa: 63.22, arcChall: 24.74, arithmark2: 53.56, url: 'https://huggingface.co/facebook/MobileLLM-R1-140M-base' },
|
| 343 |
+
{ name: 'Supra-50M-Base', org: 'SupraLabs', params: 51786240, avg: 42.52, arc: 45.88, hellaswag: 31.83, piqa: 62.51, arcChall: 25.00, arithmark2: 27.04, url: 'https://huggingface.co/SupraLabs/Supra-50M-Base' },
|
| 344 |
+
{ name: 'Quark-135M', org: 'ThingAI', params: 134561088, avg: 41.61, arc: 47.73, hellaswag: 31.33, piqa: 58.32, arcChall: 28.24, arithmark2: 40.32, url: 'https://huggingface.co/ThingAI/Quark-135m' },
|
| 345 |
+
{ name: 'OdinNext-138M', org: 'joelhenwang', params: 138449696, avg: 39.87, arc: 45.08, hellaswag: 28.09, piqa: 59.52, arcChall: 23.81, arithmark2: 36.84, url: 'https://huggingface.co/joelhenwang/OdinNext-138M-Base' },
|
| 346 |
+
{ name: 'KeyLM-75M', org: 'Eclipse-Senpai', params: 75251200, avg: 38.86, arc: 35.73, hellaswag: 29.66, piqa: 60.50, arcChall: 23.98, arithmark2: 25.80, url: 'https://huggingface.co/Eclipse-Senpai/KeyLM-75M' },
|
| 347 |
+
{ name: 'michel-micro', org: 'finnianx', params: 28355072, avg: 38.03, arc: 38.51, hellaswag: 28.16, piqa: 57.62, arcChall: 23.29, arithmark2: 26.04, url: 'https://huggingface.co/finnianx/michel-micro' },
|
| 348 |
+
{ name: 'Veyra-30M-Base', org: 'veyra-ai', params: 34611712, avg: 36.92, arc: 35.90, hellaswag: 27.92, piqa: 58.92, arcChall: 24.15, arithmark2: 26.76, url: 'https://huggingface.co/veyra-ai/veyra-30m-base-5b-tokens' },
|
| 349 |
+
{ name: 'Er-Medium-12.5M', org: 'FromZero', params: 12497520, avg: 36.68, arc: 35.10, hellaswag: 28.50, piqa: 57.51, arcChall: 20.73, arithmark2: 30.88, url: 'https://huggingface.co/fromziro/Er-Medium-12.5M' },
|
| 350 |
+
{ name: 'GPT-S-1.4M', org: 'AxiomicLabs', params: 1426000, avg: 33.41, arc: 31.57, hellaswag: 26.89, piqa: 55.17, arcChall: 21.93, arithmark2: 25.16, url: 'https://huggingface.co/AxiomicLabs/GPT-S-1.4M' },
|
| 351 |
+
{ name: 'Dillionv2-1.3M', org: 'Harley-ml', params: 1285200, avg: 32.92, arc: 29.71, hellaswag: 27.27, piqa: 53.05, arcChall: 22.44, arithmark2: 27.00, url: 'https://huggingface.co/Harley-ml/Dillionv2-1.3M' },
|
| 352 |
+
{ name: 'Tenete-8M', org: 'Harley-ml', params: 8293120, avg: 33.85, arc: 31.69, hellaswag: 26.75, piqa: 55.66, arcChall: 21.84, arithmark2: 26.72, url: 'https://huggingface.co/Harley-ml/Tenete-8M' },
|
| 353 |
+
{ name: 'Syn-2.6M', org: 'FromZero', params: 2604210, avg: 33.31, arc: 32.03, hellaswag: 26.96, piqa: 53.65, arcChall: 20.39, arithmark2: 26.68, url: 'https://huggingface.co/fromziro/Syn-2.6M' }
|
| 354 |
];
|
| 355 |
|
| 356 |
const BENCHMARKS = [
|
|
|
|
| 359 |
{ key: 'arcChall', label: 'ARC-Challenge' },
|
| 360 |
{ key: 'hellaswag', label: 'HellaSwag' },
|
| 361 |
{ key: 'piqa', label: 'PIQA' },
|
| 362 |
+
{ key: 'arithmark2', label: 'ArithMark-2' }
|
| 363 |
];
|
| 364 |
|
| 365 |
let activeBenchmark = 'avg';
|
| 366 |
+
let chart = null;
|
| 367 |
|
| 368 |
+
const formatParams = (n) => {
|
| 369 |
+
if (n >= 1e9) return `${(n / 1e9).toFixed(2)}B`;
|
| 370 |
+
if (n >= 1e6) return `${(n / 1e6).toFixed(2)}M`;
|
| 371 |
+
if (n >= 1e3) return `${(n / 1e3).toFixed(2)}K`;
|
| 372 |
+
return String(n);
|
| 373 |
+
};
|
| 374 |
|
| 375 |
+
const getScore = (m, key) => m[key] ?? null;
|
| 376 |
+
|
| 377 |
+
const mean = (arr) => arr.reduce((a, b) => a + b, 0) / arr.length;
|
| 378 |
|
| 379 |
function linearRegression(points) {
|
| 380 |
const n = points.length;
|
|
|
|
| 391 |
return { slope, intercept };
|
| 392 |
}
|
| 393 |
|
| 394 |
+
function computeLoss(data, benchmark, slope, intercept) {
|
| 395 |
+
const residuals = data.map(m => {
|
| 396 |
+
const pred = slope * m.x + intercept;
|
| 397 |
+
return m.y - pred;
|
|
|
|
| 398 |
});
|
| 399 |
const mse = mean(residuals.map(r => r * r));
|
| 400 |
const rmse = Math.sqrt(mse);
|
|
|
|
| 409 |
org: m.org,
|
| 410 |
params: m.params,
|
| 411 |
paramsDisplay: formatParams(m.params),
|
| 412 |
+
url: m.url,
|
| 413 |
x: Math.log10(m.params),
|
| 414 |
y: getScore(m, activeBenchmark)
|
| 415 |
}))
|
| 416 |
.sort((a, b) => a.x - b.x);
|
| 417 |
}
|
| 418 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 419 |
function renderBenchmarkButtons() {
|
| 420 |
const box = document.getElementById('benchmarkButtons');
|
| 421 |
box.innerHTML = BENCHMARKS.map(b => `
|
|
|
|
| 432 |
function renderModelList(data) {
|
| 433 |
const list = document.getElementById('modelList');
|
| 434 |
list.innerHTML = data.map(m => `
|
| 435 |
+
<div class="model-row" data-url="${m.url}">
|
| 436 |
<div>
|
| 437 |
<div class="model-name">${m.name}</div>
|
| 438 |
<div class="model-meta">${m.org} · ${m.paramsDisplay}</div>
|
|
|
|
| 441 |
<div class="model-score">y=${m.y.toFixed(2)}%</div>
|
| 442 |
</div>
|
| 443 |
`).join('');
|
| 444 |
+
|
| 445 |
+
list.querySelectorAll('.model-row').forEach(row => {
|
| 446 |
+
row.addEventListener('click', () => {
|
| 447 |
+
const url = row.dataset.url;
|
| 448 |
+
if (url) window.open(url, '_blank', 'noopener,noreferrer');
|
| 449 |
+
});
|
| 450 |
+
});
|
| 451 |
}
|
| 452 |
|
| 453 |
function updateStats(slope, intercept, mse, rmse, count) {
|
|
|
|
| 467 |
const points = data.map(d => ({ x: d.x, y: d.y }));
|
| 468 |
const { slope, intercept } = linearRegression(points);
|
| 469 |
const { mse, rmse, residuals } = computeLoss(data, activeBenchmark, slope, intercept);
|
| 470 |
+
data.forEach((d, i) => { d.residual = residuals[i]; });
|
| 471 |
|
|
|
|
| 472 |
updateStats(slope, intercept, mse, rmse, data.length);
|
| 473 |
renderModelList(data);
|
| 474 |
|
|
|
|
| 492 |
};
|
| 493 |
|
| 494 |
document.getElementById('chartTitle').textContent = titleMap[activeBenchmark] || activeBenchmark;
|
| 495 |
+
document.getElementById('chartSub').textContent = `Linear fit on ${BENCHMARKS.find(b => b.key === activeBenchmark)?.label || activeBenchmark}. Silver, clean, and clickable.`;
|
| 496 |
+
document.getElementById('fitNote').textContent = `Regression loss: MSE ${mse.toFixed(4)} · RMSE ${rmse.toFixed(2)}.`;
|
| 497 |
|
| 498 |
const ctx = document.getElementById('scatterChart').getContext('2d');
|
| 499 |
if (chart) chart.destroy();
|
|
|
|
| 509 |
{ x: xLow, y: yLow },
|
| 510 |
{ x: xHigh, y: yHigh }
|
| 511 |
],
|
| 512 |
+
borderColor: 'rgba(236, 236, 241, 0.98)',
|
| 513 |
+
borderWidth: 3.2,
|
| 514 |
pointRadius: 0,
|
| 515 |
tension: 0,
|
| 516 |
fill: false,
|
|
|
|
| 522 |
pointRadius: 7,
|
| 523 |
pointHoverRadius: 10,
|
| 524 |
borderWidth: 1.5,
|
| 525 |
+
backgroundColor: 'rgba(225, 226, 232, 0.86)',
|
| 526 |
+
borderColor: 'rgba(255,255,255,0.92)',
|
| 527 |
+
hoverBackgroundColor: 'rgba(245, 245, 248, 0.98)',
|
| 528 |
+
hoverBorderColor: 'rgba(255,255,255,0.98)',
|
| 529 |
order: 2
|
| 530 |
}
|
| 531 |
]
|
|
|
|
| 535 |
maintainAspectRatio: false,
|
| 536 |
animation: { duration: 0 },
|
| 537 |
interaction: { mode: 'nearest', intersect: true },
|
| 538 |
+
onClick: (event, elements) => {
|
| 539 |
+
if (!elements.length) return;
|
| 540 |
+
const hit = elements[0];
|
| 541 |
+
if (hit.datasetIndex !== 1) return;
|
| 542 |
+
const item = chart.data.datasets[hit.datasetIndex].data[hit.index];
|
| 543 |
+
if (item?.url) window.open(item.url, '_blank', 'noopener,noreferrer');
|
| 544 |
+
},
|
| 545 |
plugins: {
|
| 546 |
legend: { display: false },
|
| 547 |
tooltip: {
|
| 548 |
+
backgroundColor: 'rgba(15,15,18,0.97)',
|
| 549 |
+
borderColor: 'rgba(236,236,241,0.22)',
|
| 550 |
borderWidth: 1,
|
| 551 |
titleColor: '#ffffff',
|
| 552 |
+
bodyColor: '#d4d4da',
|
| 553 |
padding: 12,
|
| 554 |
displayColors: false,
|
| 555 |
callbacks: {
|
| 556 |
title: (items) => items[0]?.raw?.name || '',
|
| 557 |
label: (item) => {
|
| 558 |
const d = item.raw;
|
|
|
|
| 559 |
const pred = slope * d.x + intercept;
|
| 560 |
+
const resid = d.y - pred;
|
| 561 |
return [
|
| 562 |
`Params: ${formatParams(d.params)} (${d.params.toLocaleString()})`,
|
| 563 |
+
`Score: ${d.y.toFixed(2)}%`,
|
| 564 |
`Residual: ${resid >= 0 ? '+' : ''}${resid.toFixed(2)} pts`,
|
| 565 |
`Prediction: ${pred.toFixed(2)}%`
|
| 566 |
];
|
|
|
|
| 575 |
max: xHigh,
|
| 576 |
grid: { color: 'rgba(255,255,255,0.045)' },
|
| 577 |
ticks: {
|
| 578 |
+
color: '#7f7f88',
|
| 579 |
callback: v => `10^${Number(v).toFixed(1)}`
|
| 580 |
},
|
| 581 |
title: {
|
| 582 |
display: true,
|
| 583 |
text: 'Log₁₀(parameters)',
|
| 584 |
+
color: '#7f7f88',
|
| 585 |
font: { weight: '600' }
|
| 586 |
}
|
| 587 |
},
|
|
|
|
| 590 |
max: yMax,
|
| 591 |
grid: { color: 'rgba(255,255,255,0.045)' },
|
| 592 |
ticks: {
|
| 593 |
+
color: '#7f7f88',
|
| 594 |
+
callback: v => `${Number(v).toFixed(0)}%`
|
| 595 |
},
|
| 596 |
title: {
|
| 597 |
display: true,
|
| 598 |
text: 'Score (%)',
|
| 599 |
+
color: '#7f7f88',
|
| 600 |
font: { weight: '600' }
|
| 601 |
}
|
| 602 |
}
|
|
|
|
| 608 |
render();
|
| 609 |
</script>
|
| 610 |
</body>
|
| 611 |
+
</html>"}]}
|