20260220162607_nmd6completedconcordance52.34M params2m 29s elapsed · Updated 50d ago
6L / 256D / 8H · helios · bpe · adamw· Created Feb 20, 2026 4:26 PM
Step 4 / 1,0000.4%
11.3495
Loss?
11.3495
Best Loss?
-1.3% from start
-
Val Loss?
1.20e-5
Learning Rate?
3
Throughput?
tok/s (avg)
74,873
Speed?
ms/iter (avg)
15.195
Grad Norm?
avg: 14.955
512
Tokens
processed
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?6
Embedding?256
Heads?8
Vocab?92,860
Context?256
Dropout?0
Parameters?52.34M
Training Config
Total iters?1,000
Batch size?1
Max LR?0.0003
Optimizer?adamw
Backend?helios
Tokenizer?bpe
Seed?42
Weight decay?0.01
Grad clip?1
Eval interval?100
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)
No Telemetry
Loss Velocity
Insufficient data
Gradient Clipping
No clipping data
GPU Operations
No GPU ops data
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": 92860,
"blockSize": 256,
"nLayer": 6,
"nEmbd": 256,
"nHead": 8,
"dropout": 0
}Training Config (JSON)
{
"iters": 1000,
"batchSize": 1,
"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
}