20260222211512_7zr3completedconcordance152.20M params30m 50s elapsed · Updated 48d ago
12L / 768D / 12H · helios · bpe-64k · adamw· Created Feb 22, 2026 9:15 PM
Step 624 / 50,0001.2%
7.8850
Loss?
6.2655
Best Loss?
-26.2% from start
8.1744
Val Loss?
best: 8.1075
6.00e-5
Learning Rate?
1,164
Throughput?
tok/s (avg)
3,518
Speed?
ms/iter (avg)
7820771.589
Grad Norm?
avg: 338144341.654
2.14M
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?0.00006
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
Learning Rate
Grad Norm
Smoothed Loss (EMA)
Loss Velocity
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": 0.00006,
"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
}