A
Alpha
20260221214332_tzzycompletedconcordance7.24M params45s elapsed · Updated 3d ago
6L / 256D / 8H · helios · bpe · adamw· Created Feb 21, 2026 9:44 PM
Step 17 / 2,4000.7%
7.2236
Loss?
7.2236
Best Loss?
-15.0% from start
-
Val Loss?
5.10e-5
Learning Rate?
340
Throughput?
tok/s (avg)
3,011
Speed?
ms/iter (avg)
4.763
Grad Norm?
avg: 8.829
15.4K
Tokens
processed
Loss Curve ?
Validation / selection
Run diagnostics
Gradient + Loss
Train/val loss with validation, warmup, overfit, and instability markers.
Search-aware view
Architecture
Layers?6
Embedding?256
Heads?8
Vocab?4,791
Context?256
Dropout?0
Parameters?7.24M
Training Config
Total iters?2,400
Batch size?4
Max LR?0.0003
Optimizer?adamw
Backend?helios
Tokenizer?bpe
Seed?42
Weight decay?0.01
Grad clip?1
Eval interval?400
GPU & VRAM
No GPU data
Learning Rate
Grad Norm
Step Time Breakdown
Step Time Breakdown
No timing data
Checkpoints (0) ?
No checkpoints saved
{
  "vocabSize": 4791,
  "blockSize": 256,
  "nLayer": 6,
  "nEmbd": 256,
  "nHead": 8,
  "dropout": 0
}
{
  "iters": 2400,
  "batchSize": 4,
  "lr": 0.0003,
  "beta1": 0.9,
  "beta2": 0.999,
  "eps": 1e-8,
  "weightDecay": 0.01,
  "gradClip": 1,
  "evalInterval": 400,
  "evalIters": 10,
  "seed": 42,
  "backend": "helios",
  "tokenizer": "bpe",
  "optimizer": "adamw",
  "logLevel": "info",
  "trace": false
}