20260220124903_2g7ucompletedconcordance24.46M params14m 4s elapsed · Updated 7m ago
6L / 128D / 8H · helios · bpe · adamw· Created Feb 20, 2026 12:49 PM
Step 12 / 12100.0%
10.7353
Loss?
10.7051
Best Loss?
-0.7% from start
-
Val Loss?
6.30e-6
Learning Rate?
5
Throughput?
tok/s (avg)
211,198
Speed?
ms/iter (avg)
2.347
Grad Norm?
avg: 2.447
4.1K
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?128
Heads?8
Vocab?87,782
Context?128
Dropout?0
Parameters?24.46M
Training Config
Total iters?12
Batch size?8
Max LR?0.0003
Optimizer?adamw
Backend?helios
Tokenizer?bpe
Seed?42
Weight decay?0.01
Grad clip?1
Eval interval?100
GPU & VRAM
No GPU data
Learning Rate
Grad Norm
Step Time Breakdown
Step Time Breakdown
No timing data
{
"vocabSize": 87782,
"blockSize": 128,
"nLayer": 6,
"nEmbd": 128,
"nHead": 8,
"dropout": 0
}{
"iters": 12,
"batchSize": 8,
"lr": 0.0003,
"beta1": 0.9,
"beta2": 0.999,
"eps": 1e-8,
"weightDecay": 0.01,
"gradClip": 1,
"evalInterval": 100,
"evalIters": 10,
"seed": 42,
"backend": "helios",
"tokenizer": "bpe",
"optimizer": "adamw",
"logLevel": "info",
"trace": false
}