super_chat_20260310042933_3vchstaleconcordance-chat34.16M params2h 59m elapsed · Updated 34d ago
8L / 512D / 8H · helios · bpe-8k-chat · adamw· Created Mar 10, 2026 4:29 AM
Step 3,825 / 8,00047.8%
1.6342
Loss?
1.5024
Best Loss?
-59.6% from start
1.8370
Val Loss?
best: 1.8289
3.00e-5
Learning Rate?
5,800
Throughput?
tok/s (avg)
2,825
Speed?
ms/iter (avg)
0.149
Grad Norm?
avg: 0.147
62.55M
Tokens
processed
Loss Curve ? click any chart to add markers
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?
?
?
Architecture
Layers?8
Embedding?512
Heads?8
Vocab?8,000
Context?512
Dropout?0
Parameters?34.16M
Training Config
Total iters?8,000
Batch size?16
Max LR?0.00005
Optimizer?adamw
Backend?helios
Tokenizer?bpe-8k-chat
Seed?42
Weight decay?0.01
Grad clip?1
Eval interval?500
Throughput (tok/s)
Step Time (ms/iter)
GPU & VRAM
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
Model Config (JSON)
{
"vocabSize": 8000,
"blockSize": 512,
"nLayer": 8,
"nEmbd": 512,
"nHead": 8,
"dropout": 0,
"ffnActivation": "swiglu"
}Training Config (JSON)
{
"iters": 8000,
"batchSize": 16,
"lr": 0.00005,
"lrMin": 0.000005,
"warmupIters": 200,
"beta1": 0.9,
"beta2": 0.999,
"eps": 1e-8,
"weightDecay": 0.01,
"gradClip": 1,
"evalInterval": 500,
"evalIters": 10,
"seed": 42,
"backend": "helios",
"tokenizer": "bpe-8k-chat",
"optimizer": "adamw",
"logLevel": "info",
"logEvery": 25,
"trace": false,
"gradAccumSteps": 2,
"sampleInterval": 500,
"spikeThreshold": 5000,
"embGradScale": 1,
"syncEvery": 0,
"gcEvery": 0,
"packed": true,
"symbio": false,
"symbioConfig": null
}