A
Alpha
historic_chat_v2_20260309194804_7cpfstaleconcordance-chat34.16M params48s elapsed · Updated 35d ago
8L / 512D / 8H · helios · bpe-8k-chat · adamw· Created Mar 9, 2026 7:48 PM
Step 17,010 / 22,50075.6%
2.3250
Loss?
2.2709
Best Loss?
0.0% from start
-
Val Loss?
1.13e-5
Learning Rate?
6,816
Throughput?
tok/s (avg)
4,822
Speed?
ms/iter (avg)
0.109
Grad Norm?
avg: 0.110
327.7K
Tokens
processed
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?8
Embedding?512
Heads?8
Vocab?8,000
Context?512
Dropout?0
Parameters?34.16M
Training Config
Total iters?22,500
Batch size?16
Max LR?0.00005
Optimizer?adamw
Backend?helios
Tokenizer?bpe-8k-chat
Seed?42
Weight decay?0.01
Grad clip?1
Eval interval?200
Throughput (tok/s)
Step Time (ms/iter)
GPU & VRAM
No GPU data
Perplexity
Train/Val Gap
No validation data
Learning Rate
Grad Norm
Smoothed Loss (EMA)
Loss Velocity
Insufficient data
Gradient Clipping
GPU Operations
Step Time Breakdown
No timing data
Timing Phase Lines
No timing data
Backward / Forward Ratio
No timing data
Checkpoints (0) ?
No checkpoints saved
Model Config (JSON)
{
  "vocabSize": 8000,
  "blockSize": 512,
  "nLayer": 8,
  "nEmbd": 512,
  "nHead": 8,
  "dropout": 0,
  "ffnActivation": "swiglu"
}
Training Config (JSON)
{
  "iters": 22500,
  "batchSize": 16,
  "lr": 0.00005,
  "lrMin": 0.000005,
  "warmupIters": 50,
  "beta1": 0.9,
  "beta2": 0.999,
  "eps": 1e-8,
  "weightDecay": 0.01,
  "gradClip": 1,
  "evalInterval": 200,
  "evalIters": 10,
  "seed": 42,
  "backend": "helios",
  "tokenizer": "bpe-8k-chat",
  "optimizer": "adamw",
  "logLevel": "info",
  "logEvery": 25,
  "trace": false,
  "gradAccumSteps": 4,
  "sampleInterval": 200,
  "spikeThreshold": 5000,
  "embGradScale": 1,
  "syncEvery": 0,
  "gcEvery": 0,
  "packed": true,
  "symbio": false,
  "symbioConfig": null
}