20260222230300_cm7lcompletedconcordance152.20M params15s elapsed · Updated 48d ago
12L / 768D / 12H · helios · bpe-64k · adamw· Created Feb 22, 2026 11:03 PM
Step 3 / 50,0000.0%
10.6863
Loss?
10.6777
Best Loss?
-0.0% from start
-
Val Loss?
2.40e-7
Learning Rate?
1,067
Throughput?
tok/s (avg)
3,928
Speed?
ms/iter (avg)
2.778
Grad Norm?
avg: 3.023
16.4K
Tokens
processed
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?12
Embedding?768
Heads?12
Vocab?43,642
Context?256
Dropout?0
Parameters?152.20M
Training Config
Total iters?50,000
Batch size?16
Max LR?0.00003
Optimizer?adamw
Backend?helios
Tokenizer?bpe-64k
Seed?42
Weight decay?0.1
Grad clip?1
Eval interval?100
Throughput (tok/s)
Step Time (ms/iter)
GPU & VRAM
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": 43642,
"blockSize": 256,
"nLayer": 12,
"nEmbd": 768,
"nHead": 12,
"dropout": 0
}Training Config (JSON)
{
"iters": 50000,
"batchSize": 16,
"lr": 0.00003,
"beta1": 0.9,
"beta2": 0.95,
"eps": 1e-8,
"weightDecay": 0.1,
"gradClip": 1,
"evalInterval": 100,
"evalIters": 10,
"seed": 42,
"backend": "helios",
"tokenizer": "bpe-64k",
"optimizer": "adamw",
"logLevel": "info",
"trace": false
}