A
Alpha
historic_chat_v2_20260225123259_x5wwactivechat17.44M params17s elapsed · ~11h 59m remaining
8L / 384D / 8H · helios · bpe-4k · adamw· Created Feb 25, 2026 12:33 PM
Step 20 / 50,0000.0%
8.3147
Loss?
8.3147
Best Loss?
-0.7% from start
-
Val Loss?
5.90e-6
Learning Rate?
7,169
Throughput?
tok/s (avg)
864
Speed?
ms/iter (avg)
1.376
Grad Norm?
avg: 3.297
122.9K
Tokens
processed
178ms
Forward
21% of step
611ms
Backward
71% of step
8ms
GPU Sync
1% of step
865
GPU Ops
per step
2.5%
MFU
model FLOPS util
3.4x
Bwd/Fwd
ratio
Loss Curve ?
Symbio semantics: this chart stitches many fresh candidate evaluations onto one global step axis. Loss resets near switches are expected because candidates are re-initialized. Compare local candidate shapes and the global frontier, not a single continuous model trajectory.
Search semantics
Validation / selection
Run diagnostics
Search Trajectory + Frontier
Candidate-local train/val loss segments on a shared step axis, with switch events and global frontier overlays.
Search-aware view
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?12
Max LR?0.00005
Optimizer?adamw
Backend?helios
Tokenizer?bpe-4k
Seed?42
Weight decay?0.1
Grad clip?1
Eval interval?1000
GPU & VRAM
Learning Rate
Grad Norm
Step Time Breakdown
Step Time Breakdown
Clip Telemetry
SymbiogenesisSWIGLU
1.80
Wt Entropy
bits
20.0
Eff. Rank
8.3327
Free Energy
2.996
Pop Entropy
nats
0.0756
Complexity
0.0317
Fitness
7
CUSUM Alerts
of 20 steps
-
Batch Size
adaptive
CUSUM Change-Point Monitor
Weight Entropy
Effective Rank
Free Energy
Fitness Score
Population Entropy
Phase Change / Gelation
Current
Transitioning
Stability
0%
Phase Changes
1
Regime Shifts
0
Training dynamics are shifting. The model may be entering a new loss basin or the learning rate is hitting a critical threshold. This often happens before a breakthrough or a plateau.
Phase Timeline
Step 1Step 1
Evolutionary Search
Generations
1
Candidates
1
Activations
1
Best Loss
8.3147
Total Steps
20
#CandidateActivationGenLossFitnessStepsMutation
1gen0_gelu_1gelu08.31470.031720origin
Generation Summary
G01c8.3147
Architecture Diversity
Convergence vs Diversity (Tug-of-War)
Current Mode
Converging
Diversity Pressure
80%
Convergence Momentum
100%
Convergence Progress
100%
Phase Portrait: Diversity Pressure vs Convergence Momentum
Low diversity / high momentum = lock-in convergence
High diversity / high momentum = productive exploration
Low diversity / low momentum = stalled collapse
High diversity / low momentum = diversity stalling convergence
Tug-of-War Trace (Time Domain)
Positive tension means recent frontier improvement is outpacing diversity pressure (search is converging). Negative tension means exploration pressure is dominating recent convergence momentum (search is broadening or getting “stumped”).
Strongest Convergence
step 5
tension 0.200
Strongest Diversity Push
step 1
tension -0.800
Best Frontier
8.3147
progress 100%
Evolutionary Lineage Tree
Lineage Tree
100%
Activation Flow (Sankey)
Activation Switch Log
StepFromToGenPrev StepsBest LossFinal LossFitnessTree
1-→gelu0----
Search Candidates
#NameActivationGenParentStepsBest LossBest ValAvg LossFitnessAvg tok/sAlerts
1gen0_gelu_1gelu0-208.3147-8.34450.03177,1697
Activation Distribution
gelu
20 (100%)
Activation Evolution Radial
Symbio Config
{
  "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,
  "fitnessAlpha": 1,
  "complexityMode": "entropy",
  "diversityBonus": 0,
  "diversityDecay": "none",
  "searchMode": "ffn-activation-search",
  "activationPool": [
    "gelu",
    "silu",
    "relu",
    "swiglu"
  ],
  "searchStrategy": "evolutionary",
  "populationSize": 4,
  "generations": 2,
  "selectionStrategy": "topk",
  "tournamentK": 3,
  "mutationRate": 0.5,
  "stepsPerCandidate": 20,
  "rankBy": "valLoss",
  "perfWeight": 0,
  "stabilityWeight": 0,
  "writeReport": true,
  "writeCandidates": true,
  "writeSummary": true
}
Checkpoints (0) ?
No checkpoints saved
{
  "vocabSize": 4000,
  "blockSize": 512,
  "nLayer": 8,
  "nEmbd": 384,
  "nHead": 8,
  "dropout": 0.1,
  "ffnActivation": "swiglu",
  "ffnDim": 1024
}
{
  "iters": 50000,
  "batchSize": 12,
  "lr": 0.00005,
  "lrMin": 0.000005,
  "warmupIters": 1000,
  "beta1": 0.9,
  "beta2": 0.95,
  "eps": 0.000001,
  "weightDecay": 0.1,
  "gradClip": 1,
  "evalInterval": 1000,
  "evalIters": 10,
  "seed": 42,
  "backend": "helios",
  "tokenizer": "bpe-4k",
  "optimizer": "adamw",
  "logLevel": "info",
  "trace": false,
  "gradAccumSteps": 1,
  "sampleInterval": 500,
  "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,
    "fitnessAlpha": 1,
    "complexityMode": "entropy",
    "diversityBonus": 0,
    "diversityDecay": "none",
    "searchMode": "ffn-activation-search",
    "activationPool": [
      "gelu",
      "silu",
      "relu",
      "swiglu"
    ],
    "searchStrategy": "evolutionary",
    "populationSize": 4,
    "generations": 2,
    "selectionStrategy": "topk",
    "tournamentK": 3,
    "mutationRate": 0.5,
    "stepsPerCandidate": 20,
    "rankBy": "valLoss",
    "perfWeight": 0,
    "stabilityWeight": 0,
    "writeReport": true,
    "writeCandidates": true,
    "writeSummary": true
  }
}