concordance-v7-16kstaleconcordance42.35M params1h 8m elapsed · Updated 35d ago
8L / 512D / 8H · helios · bpe-16k · adamw· Created Mar 9, 2026 8:35 AM
Step 1,625 / 100,0001.6%
8.0888
Loss?
7.8484
Best Loss?
-17.4% from start
8.2507
Val Loss?
best: 8.2507
6.00e-4
Learning Rate?
6,466
Throughput?
tok/s (avg)
2,534
Speed?
ms/iter (avg)
0.165
Grad Norm?
avg: 0.163
26.62M
Tokens
processed
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?8
Embedding?512
Heads?8
Vocab?16,000
Context?512
Dropout?0
Parameters?42.35M
Training Config
Total iters?100,000
Batch size?32
Max LR?0.0006
Optimizer?adamw
Backend?helios
Tokenizer?bpe-16k
Seed?42
Weight decay?0.1
Grad clip?1
Eval interval?250
Throughput (tok/s)
Step Time (ms/iter)
GPU & VRAM
No GPU data
Perplexity
Train/Val Gap
Learning Rate
Grad Norm
Smoothed Loss (EMA)
Loss Velocity
Gradient Clipping
GPU Operations
Step Time Breakdown
No timing data
Timing Phase Lines
No timing data
Backward / Forward Ratio
No timing data
Transformer Layer Analysis
Gradient Norm Heatmap
Per-Layer Gradient Evolution
Checkpoints (0) ?
No checkpoints saved
Sample Generations (3)
#CheckpointPrompt (preview)Generated
1-The 35d ago
Prompt
The
Output
The V as Z er ent in the their to Pi or (a a . Iin, the , W an s A, a sMher his a b in is al is r ( a , is is in the in ent or to , and in , s of the le W ( as ac a S - al an in L are is / e, " to any itL Yby E is . LMthe e
2-When in the Course of human events35d ago
Prompt
When in the Course of human events
Output
When in the Course of human events in the l-s Pwhich al , and ala is and (ed a an a To ed org, in the at as um a (wsome EI I is C( um and and , , - ) a : i W to C e(in of the n was (ing a ( ) ) ) s S - ; , a ( k d a , 18La , R R it X Oto y or w yDthe L on g
3-It was a dark and stormy35d ago
Prompt
It was a dark and stormy
Output
It was a dark and stormyinis arythe ona Sin the ed La a K. . The ata to a b"pHthe s es, in , a to al was Fshe her - an a C PKac, as Lis , ( P Lan LPus to (on a s a (. a , L is o , in " is a R Tto , as a a in , a Tal - of the Ts P the Ga y (L, the i Ka-
Model Config (JSON)
{
"vocabSize": 16000,
"blockSize": 512,
"nLayer": 8,
"nEmbd": 512,
"nHead": 8,
"dropout": 0,
"ffnActivation": "swiglu"
}Training Config (JSON)
{
"iters": 100000,
"batchSize": 32,
"lr": 0.0006,
"lrMin": 0.00006,
"warmupIters": 200,
"beta1": 0.9,
"beta2": 0.95,
"eps": 1e-8,
"weightDecay": 0.1,
"gradClip": 1,
"evalInterval": 250,
"evalIters": 10,
"seed": 42,
"backend": "helios",
"tokenizer": "bpe-16k",
"optimizer": "adamw",
"logLevel": "info",
"logEvery": 25,
"trace": false,
"gradAccumSteps": 1,
"sampleInterval": 250,
"spikeThreshold": 0,
"embGradScale": 1,
"syncEvery": 0,
"gcEvery": 0,
"packed": true,
"symbio": false,
"symbioConfig": null
}