A
Alpha
historic_chat_v2_20260225123259_x5wwstalechat17.44M params17s elapsed · Updated 47d ago
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 ? 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?12
Max LR?0.00005
Optimizer?adamw
Backend?helios
Tokenizer?bpe-4k
Seed?42
Weight decay?0.1
Grad clip?1
Eval interval?1000
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
8.3327
Free Energy
2.996
Pop Entropy
nats
0.0756
Complexity
0.0317
Fitness
7
CUSUM
alerts
-
Batch Size
adaptive
CUSUM Statistical Monitors
Information Bottleneck (MI)
MI Analysis Pending
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": 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
  }
}