concordance-clean-v1staleconcordance122.35M params3m 48s elapsed · Updated 36d ago
12L / 768D / 12H · helios · bpe-64k · adamw· Created Mar 8, 2026 11:01 PM
Step 50 / 100,0000.1%
8.4351
Loss?
8.3904
Best Loss?
-17.8% from start
-
Val Loss?
1.14e-4
Learning Rate?
1,806
Throughput?
tok/s (avg)
4,536
Speed?
ms/iter (avg)
0.490
Grad Norm?
avg: 0.424
409.6K
Tokens
processed
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?12
Embedding?768
Heads?12
Vocab?24,076
Context?512
Dropout?0
Parameters?122.35M
Training Config
Total iters?100,000
Batch size?16
Max LR?0.0006
Optimizer?adamw
Backend?helios
Tokenizer?bpe-64k
Seed?42
Weight decay?0.1
Grad clip?1
Eval interval?500
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)
Loss Velocity
Gradient Clipping
GPU Operations
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": 24076,
"blockSize": 512,
"nLayer": 12,
"nEmbd": 768,
"nHead": 12,
"dropout": 0,
"ffnActivation": "swiglu"
}Training Config (JSON)
{
"iters": 100000,
"batchSize": 16,
"lr": 0.0006,
"lrMin": 0.00006,
"warmupIters": 500,
"beta1": 0.9,
"beta2": 0.95,
"eps": 1e-8,
"weightDecay": 0.1,
"gradClip": 1,
"evalInterval": 500,
"evalIters": 10,
"seed": 42,
"backend": "helios",
"tokenizer": "bpe-64k",
"optimizer": "adamw",
"logLevel": "info",
"logEvery": 25,
"trace": false,
"gradAccumSteps": 1,
"sampleInterval": 5000,
"spikeThreshold": 0,
"embGradScale": 1,
"syncEvery": 0,
"gcEvery": 0,
"packed": true,
"symbio": false,
"symbioConfig": null
}