historic_20260226170716_kbuvstalechat17.44M params6m 59s elapsed · Updated 46d ago
8L / 384D / 8H · helios · bpe-4k · adamw· Created Feb 26, 2026 5:08 PM
Step 180 / 50,0000.4%
7.8639
Loss?
7.8622
Best Loss?
-6.1% from start
-
Val Loss?
1.31e-5
Learning Rate?
4,735
Throughput?
tok/s (avg)
2,191
Speed?
ms/iter (avg)
0.531
Grad Norm?
avg: 0.543
1.84M
Tokens
processed
451ms
Forward
21% of step
1622ms
Backward
74% of step
40ms
GPU Sync
2% of step
800
GPU Ops
per step
1.6%
MFU
model FLOPS util
3.6x
Bwd/Fwd
ratio
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?8
Embedding?384
Heads?8
Vocab?4,000
Context?512
Dropout?0.1
Parameters?17.44M
Training Config
Total iters?50,000
Batch size?20
Max LR?0.00005
Optimizer?adamw
Backend?helios
Tokenizer?bpe-4k
Seed?42
Weight decay?0.1
Grad clip?1
Eval interval?500
Throughput (tok/s)
Step Time (ms/iter)
GPU & VRAM
Perplexity
Train/Val Gap
No validation data
Learning Rate
Grad Norm
Smoothed Loss (EMA)
Loss Velocity
Gradient Clipping
GPU Operations
Step Time Breakdown
Forward
Backward
Grad Norm
Optimizer
GPU Sync
Data
Timing Phase Lines
Backward / Forward Ratio
Evolutionary Analysis (Symbiogenesis)
1.80
Wt Entropy
bits
20.0
Eff. Rank
7.8819
Free Energy
3.911
Pop Entropy
nats
0.0756
Complexity
0.0372
Fitness
167
CUSUM
alerts
-
Batch Size
adaptive
CUSUM Statistical Monitors
Information Bottleneck (MI)
MI Analysis Pending
Transformer Layer Analysis
Gradient Norm Heatmap
Per-Layer Gradient Evolution
Checkpoints (0) ?
No checkpoints saved
Model Config (JSON)
{
"vocabSize": 4000,
"blockSize": 512,
"nLayer": 8,
"nEmbd": 384,
"nHead": 8,
"dropout": 0.1,
"ffnActivation": "swiglu",
"ffnDim": 1024
}Training Config (JSON)
{
"iters": 50000,
"batchSize": 20,
"lr": 0.00005,
"lrMin": 0.000005,
"warmupIters": 1000,
"beta1": 0.9,
"beta2": 0.95,
"eps": 0.000001,
"weightDecay": 0.1,
"gradClip": 1,
"evalInterval": 500,
"evalIters": 10,
"seed": 42,
"backend": "helios",
"tokenizer": "bpe-4k",
"optimizer": "adamw",
"logLevel": "info",
"trace": false,
"gradAccumSteps": 1,
"sampleInterval": 300,
"spikeThreshold": 10,
"syncEvery": 1,
"gcEvery": 0,
"packed": false,
"symbio": true,
"symbioConfig": {
"cusumSensitivity": 4,
"cusumBaselineWindow": 5,
"metricsInterval": 10,
"trackWeightEntropy": true,
"trackEffectiveRank": true,
"trackFreeEnergy": true,
"trackMIProfiles": false,
"trackPopulationMetrics": true,
"freeEnergyBeta": 0.01,
"miNumBins": 30,
"adaptiveBatch": false,
"batchMin": 8,
"batchMax": 64,
"batchStep": 4,
"calmStepsBeforeRestore": 200,
"populationAdaptation": true,
"populationScaleMin": 0.5,
"populationScaleMax": 2,
"populationScaleStep": 0.125,
"populationAdaptationCooldown": 10,
"mutationRateMin": 0.2,
"mutationRateMax": 0.95,
"fitnessAlpha": 1,
"complexityMode": "entropy",
"diversityBonus": 0.1,
"diversityDecay": "cosine",
"searchMode": "composed-activation-search",
"activationPool": [
"gelu",
"relu",
"silu",
"swiglu",
"universal",
"kan_spline"
],
"searchStrategy": "evolutionary",
"populationSize": 8,
"generations": 250,
"selectionStrategy": "topk",
"tournamentK": 3,
"mutationRate": 0.7,
"stepsPerCandidate": 25,
"rankBy": "valLoss",
"perfWeight": 0,
"stabilityWeight": 0,
"preserveWeightsAcrossCandidates": true,
"carryOptimizerStateAcrossCandidates": true,
"constantFfnDimAcrossCandidates": true,
"fuseWeightsEachStep": true,
"fusionShadowEma": 0.02,
"fusionBaseStrength": 0.0015,
"fusionMaxStrength": 0.02,
"kuramotoCoupling": 0.7,
"kuramotoDt": 0.1,
"kuramotoDamping": 0.05,
"writeReport": true,
"writeCandidates": true,
"writeSummary": true,
"basisPool": [
"silu",
"relu",
"gelu",
"identity",
"square"
],
"maxGraphDepth": 4,
"maxGraphNodes": 10
}
}