Merge branch 'main' of https://github.com/soumiguria/cognitive-load-manager
Browse files
frontend/dist/index.html
CHANGED
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@@ -4,7 +4,7 @@
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>CLM Dashboard</title>
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-
<script type="module" crossorigin src="/assets/index-
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<link rel="stylesheet" crossorigin href="/assets/index-DHB-7DK0.css">
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</head>
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<body style="margin:0;background:#f1f5f9">
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>CLM Dashboard</title>
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+
<script type="module" crossorigin src="/assets/index-BJKK8Bcl.js"></script>
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<link rel="stylesheet" crossorigin href="/assets/index-DHB-7DK0.css">
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</head>
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<body style="margin:0;background:#f1f5f9">
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frontend/src/components/Dashboard.jsx
CHANGED
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@@ -216,6 +216,205 @@ function ScoringFormulaCard() {
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)
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}
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| 219 |
// ββ Main Dashboard βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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export default function Dashboard() {
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// ββ mode: 'stream' (auto-play via SSE) | 'manual' (interactive) ββββββββββββ
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@@ -813,8 +1012,13 @@ export default function Dashboard() {
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</>
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)}
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| 815 |
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| 816 |
-
{/* ββ
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<div style={{ marginTop: 20 }}>
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| 818 |
<ScoringFormulaCard />
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| 819 |
</div>
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| 820 |
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)
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| 217 |
}
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| 218 |
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| 219 |
+
// ββ Training Performance Card (data from CLM_GRPO_Training.ipynb) ββββββββββββββ
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| 220 |
+
// Mean reward sampled at training checkpoints from the GRPO training run.
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| 221 |
+
const TRAINING_CURVE = [
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+
{ step: 1, reward: 0.1006 },
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| 223 |
+
{ step: 50, reward: 0.0882 },
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| 224 |
+
{ step: 100, reward: 0.1192 },
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| 225 |
+
{ step: 200, reward: 0.1010 },
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| 226 |
+
{ step: 300, reward: 0.1383 },
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| 227 |
+
{ step: 400, reward: 0.1700 },
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| 228 |
+
{ step: 500, reward: 0.2201 },
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| 229 |
+
{ step: 600, reward: 0.2542 },
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| 230 |
+
{ step: 700, reward: 0.2595 },
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| 231 |
+
{ step: 800, reward: 0.2648 },
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| 232 |
+
{ step: 900, reward: 0.2345 },
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| 233 |
+
{ step: 1000, reward: 0.2648 },
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| 234 |
+
]
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| 235 |
+
|
| 236 |
+
// Per-action mean reward measured before training (heuristic baseline) and
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| 237 |
+
// after 1000 steps of GRPO training.
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| 238 |
+
const ACTION_COMPARISON = [
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| 239 |
+
{ action: 'Work', before: 0.045, after: 0.102 },
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| 240 |
+
{ action: 'Focus', before: 0.124, after: 0.249 },
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| 241 |
+
{ action: 'Break', before: 0.030, after: 0.030 },
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| 242 |
+
{ action: 'Delay', before: 0.010, after: 0.010 },
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| 243 |
+
]
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| 244 |
+
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| 245 |
+
function TrainingLineChart({ data, height = 160 }) {
|
| 246 |
+
const W = 720
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| 247 |
+
const padL = 36, padR = 16, padT = 18, padB = 28
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| 248 |
+
const innerW = W - padL - padR
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| 249 |
+
const innerH = height - padT - padB
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| 250 |
+
const xs = data.map(d => d.step)
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| 251 |
+
const ys = data.map(d => d.reward)
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| 252 |
+
const xLo = Math.min(...xs), xHi = Math.max(...xs)
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| 253 |
+
const yLo = Math.min(0, ...ys), yHi = Math.max(...ys, 0.3)
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| 254 |
+
const px = v => padL + ((v - xLo) / (xHi - xLo || 1)) * innerW
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| 255 |
+
const py = v => padT + innerH - ((v - yLo) / (yHi - yLo || 1)) * innerH
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| 256 |
+
const pts = data.map(d => `${px(d.step)},${py(d.reward)}`).join(' ')
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| 257 |
+
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| 258 |
+
return (
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| 259 |
+
<svg viewBox={`0 0 ${W} ${height}`} width="100%" height={height}
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| 260 |
+
preserveAspectRatio="none" style={{ display: 'block' }}>
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| 261 |
+
{/* Y axis grid */}
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| 262 |
+
{[0, 0.1, 0.2, 0.3].map(g => (
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| 263 |
+
<g key={g}>
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| 264 |
+
<line x1={padL} y1={py(g)} x2={W - padR} y2={py(g)}
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| 265 |
+
stroke="#e2e8f0" strokeWidth="1" />
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| 266 |
+
<text x={padL - 6} y={py(g) + 3} fontSize="10" fill="#94a3b8" textAnchor="end">
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| 267 |
+
{g.toFixed(2)}
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| 268 |
+
</text>
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| 269 |
+
</g>
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| 270 |
+
))}
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| 271 |
+
{/* X axis labels */}
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| 272 |
+
{[0, 250, 500, 750, 1000].map(s => (
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| 273 |
+
<text key={s} x={px(s)} y={height - 8} fontSize="10" fill="#94a3b8"
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| 274 |
+
textAnchor="middle">step {s}</text>
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| 275 |
+
))}
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| 276 |
+
{/* Area + line */}
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| 277 |
+
<polyline
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| 278 |
+
points={[`${px(xLo)},${py(yLo)}`, ...data.map(d => `${px(d.step)},${py(d.reward)}`),
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| 279 |
+
`${px(xHi)},${py(yLo)}`].join(' ')}
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| 280 |
+
fill="#6366f122" stroke="none"
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| 281 |
+
/>
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| 282 |
+
<polyline points={pts} fill="none" stroke="#6366f1" strokeWidth="2.5"
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| 283 |
+
strokeLinejoin="round" strokeLinecap="round" />
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| 284 |
+
{data.map(d => (
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| 285 |
+
<circle key={d.step} cx={px(d.step)} cy={py(d.reward)} r="3" fill="#6366f1" />
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| 286 |
+
))}
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| 287 |
+
</svg>
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| 288 |
+
)
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| 289 |
+
}
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| 290 |
+
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| 291 |
+
function ActionComparisonChart({ data, height = 200 }) {
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| 292 |
+
const W = 520
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| 293 |
+
const padL = 60, padR = 16, padT = 18, padB = 36
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| 294 |
+
const innerW = W - padL - padR
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| 295 |
+
const innerH = height - padT - padB
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| 296 |
+
const yMax = Math.max(...data.flatMap(d => [d.before, d.after]), 0.3) * 1.1
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| 297 |
+
const groupW = innerW / data.length
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| 298 |
+
const barW = (groupW - 18) / 2
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| 299 |
+
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| 300 |
+
return (
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| 301 |
+
<svg viewBox={`0 0 ${W} ${height}`} width="100%" height={height}
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| 302 |
+
preserveAspectRatio="none" style={{ display: 'block' }}>
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| 303 |
+
{/* Y grid */}
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| 304 |
+
{[0, 0.1, 0.2, 0.3].map(g => {
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| 305 |
+
const y = padT + innerH - (g / yMax) * innerH
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| 306 |
+
return (
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| 307 |
+
<g key={g}>
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| 308 |
+
<line x1={padL} y1={y} x2={W - padR} y2={y}
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| 309 |
+
stroke="#e2e8f0" strokeWidth="1" />
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| 310 |
+
<text x={padL - 6} y={y + 3} fontSize="10" fill="#94a3b8" textAnchor="end">
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| 311 |
+
{g.toFixed(2)}
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| 312 |
+
</text>
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| 313 |
+
</g>
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| 314 |
+
)
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| 315 |
+
})}
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| 316 |
+
{data.map((d, i) => {
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| 317 |
+
const gx = padL + i * groupW + 9
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| 318 |
+
const hBefore = (d.before / yMax) * innerH
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| 319 |
+
const hAfter = (d.after / yMax) * innerH
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| 320 |
+
return (
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| 321 |
+
<g key={d.action}>
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| 322 |
+
<rect x={gx} y={padT + innerH - hBefore} width={barW} height={hBefore}
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| 323 |
+
fill="#94a3b8" rx="3" />
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| 324 |
+
<rect x={gx + barW + 4} y={padT + innerH - hAfter} width={barW} height={hAfter}
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| 325 |
+
fill="#6366f1" rx="3" />
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| 326 |
+
<text x={gx + barW + 2} y={padT + innerH - hBefore - 4}
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| 327 |
+
fontSize="9" fill="#64748b" textAnchor="middle">{d.before.toFixed(3)}</text>
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| 328 |
+
<text x={gx + barW + barW + 6} y={padT + innerH - hAfter - 4}
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| 329 |
+
fontSize="9" fontWeight="700" fill="#4338ca" textAnchor="middle">
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| 330 |
+
{d.after.toFixed(3)}
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| 331 |
+
</text>
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| 332 |
+
<text x={gx + barW + 2} y={height - 14} fontSize="11" fontWeight="600"
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| 333 |
+
fill="#334155" textAnchor="middle">{d.action}</text>
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| 334 |
+
</g>
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| 335 |
+
)
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| 336 |
+
})}
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| 337 |
+
</svg>
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| 338 |
+
)
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| 339 |
+
}
|
| 340 |
+
|
| 341 |
+
function TrainingPerformanceCard() {
|
| 342 |
+
const first = TRAINING_CURVE[0].reward
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| 343 |
+
const last = TRAINING_CURVE[TRAINING_CURVE.length - 1].reward
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| 344 |
+
const lift = (((last - first) / (Math.abs(first) || 1)) * 100).toFixed(0)
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| 345 |
+
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| 346 |
+
return (
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| 347 |
+
<div style={{ background: '#fff', border: '1px solid #e2e8f0',
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| 348 |
+
borderRadius: 14, padding: '20px 20px 16px', marginBottom: 16 }}>
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| 349 |
+
<div style={{ marginBottom: 14, display: 'flex', alignItems: 'center',
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| 350 |
+
justifyContent: 'space-between', flexWrap: 'wrap', gap: 12 }}>
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| 351 |
+
<div>
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| 352 |
+
<div style={{ fontSize: 14, fontWeight: 800, color: '#0f172a', marginBottom: 4 }}>
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| 353 |
+
Training Performance β Before vs After GRPO
|
| 354 |
+
</div>
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| 355 |
+
<div style={{ fontSize: 11, color: '#64748b' }}>
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| 356 |
+
Measured during 1000-step GRPO fine-tuning of the policy on the CLM environment
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| 357 |
+
</div>
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| 358 |
+
</div>
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| 359 |
+
<div style={{ display: 'flex', gap: 10 }}>
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| 360 |
+
<div style={{ background: '#f1f5f9', borderRadius: 10, padding: '8px 14px',
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| 361 |
+
textAlign: 'center', minWidth: 90 }}>
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| 362 |
+
<div style={{ fontSize: 9, color: '#94a3b8', fontWeight: 700,
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| 363 |
+
textTransform: 'uppercase', letterSpacing: '.06em' }}>Before</div>
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| 364 |
+
<div style={{ fontSize: 18, fontWeight: 800, color: '#475569' }}>
|
| 365 |
+
{first.toFixed(3)}
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| 366 |
+
</div>
|
| 367 |
+
</div>
|
| 368 |
+
<div style={{ background: '#eef2ff', borderRadius: 10, padding: '8px 14px',
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| 369 |
+
textAlign: 'center', minWidth: 90 }}>
|
| 370 |
+
<div style={{ fontSize: 9, color: '#6366f1', fontWeight: 700,
|
| 371 |
+
textTransform: 'uppercase', letterSpacing: '.06em' }}>After</div>
|
| 372 |
+
<div style={{ fontSize: 18, fontWeight: 800, color: '#4338ca' }}>
|
| 373 |
+
{last.toFixed(3)}
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| 374 |
+
</div>
|
| 375 |
+
</div>
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| 376 |
+
<div style={{ background: '#f0fdf4', borderRadius: 10, padding: '8px 14px',
|
| 377 |
+
textAlign: 'center', minWidth: 90 }}>
|
| 378 |
+
<div style={{ fontSize: 9, color: '#16a34a', fontWeight: 700,
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| 379 |
+
textTransform: 'uppercase', letterSpacing: '.06em' }}>Lift</div>
|
| 380 |
+
<div style={{ fontSize: 18, fontWeight: 800, color: '#16a34a' }}>
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| 381 |
+
+{lift}%
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| 382 |
+
</div>
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| 383 |
+
</div>
|
| 384 |
+
</div>
|
| 385 |
+
</div>
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| 386 |
+
|
| 387 |
+
<div style={{ display: 'grid', gridTemplateColumns: '1.4fr 1fr', gap: 14 }}>
|
| 388 |
+
<div style={{ background: '#f8fafc', borderRadius: 10, padding: 12,
|
| 389 |
+
border: '1px solid #e2e8f0' }}>
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| 390 |
+
<div style={{ fontSize: 10, fontWeight: 700, color: '#94a3b8',
|
| 391 |
+
textTransform: 'uppercase', letterSpacing: '.07em', marginBottom: 8 }}>
|
| 392 |
+
Mean Reward Across Training Steps
|
| 393 |
+
</div>
|
| 394 |
+
<TrainingLineChart data={TRAINING_CURVE} height={170} />
|
| 395 |
+
</div>
|
| 396 |
+
|
| 397 |
+
<div style={{ background: '#f8fafc', borderRadius: 10, padding: 12,
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| 398 |
+
border: '1px solid #e2e8f0' }}>
|
| 399 |
+
<div style={{ fontSize: 10, fontWeight: 700, color: '#94a3b8',
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| 400 |
+
textTransform: 'uppercase', letterSpacing: '.07em', marginBottom: 8,
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| 401 |
+
display: 'flex', justifyContent: 'space-between', alignItems: 'center' }}>
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| 402 |
+
<span>Per-Action Reward</span>
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| 403 |
+
<span style={{ fontSize: 10, fontWeight: 600, color: '#64748b' }}>
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| 404 |
+
<span style={{ display: 'inline-block', width: 9, height: 9, background: '#94a3b8',
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| 405 |
+
borderRadius: 2, verticalAlign: 'middle', marginRight: 4 }} />Before
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| 406 |
+
 
|
| 407 |
+
<span style={{ display: 'inline-block', width: 9, height: 9, background: '#6366f1',
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| 408 |
+
borderRadius: 2, verticalAlign: 'middle', marginRight: 4 }} />After
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| 409 |
+
</span>
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| 410 |
+
</div>
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| 411 |
+
<ActionComparisonChart data={ACTION_COMPARISON} height={170} />
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| 412 |
+
</div>
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| 413 |
+
</div>
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| 414 |
+
</div>
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| 415 |
+
)
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| 416 |
+
}
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| 417 |
+
|
| 418 |
// ββ Main Dashboard βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 419 |
export default function Dashboard() {
|
| 420 |
// ββ mode: 'stream' (auto-play via SSE) | 'manual' (interactive) ββββββββββββ
|
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|
| 1012 |
</>
|
| 1013 |
)}
|
| 1014 |
|
| 1015 |
+
{/* ββ Training performance β before vs after GRPO ββ */}
|
| 1016 |
<div style={{ marginTop: 20 }}>
|
| 1017 |
+
<TrainingPerformanceCard />
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| 1018 |
+
</div>
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| 1019 |
+
|
| 1020 |
+
{/* ββ Reward scoring formula β always visible ββ */}
|
| 1021 |
+
<div>
|
| 1022 |
<ScoringFormulaCard />
|
| 1023 |
</div>
|
| 1024 |
|