historic_chat_v2_20260304163022_zpn2staleunknown6.81M params1m 41s elapsed · Updated 40d ago
6L / 256D / 8H · helios · bpe · adamw· Created Mar 4, 2026 4:30 PM
Step 1,199 / 8,00015.0%
7.5793
Loss?
7.3082
Best Loss?
-9.4% from start
7.6603
Val Loss?
best: 7.4324
4.82e-5
Learning Rate?
5,996
Throughput?
tok/s (avg)
86
Speed?
ms/iter (avg)
0.533
Grad Norm?
avg: 0.532
613.9K
Tokens
processed
Loss Curve ? click any chart to add markers
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?
?
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Architecture
Layers?6
Embedding?256
Heads?8
Vocab?4,000
Context?128
Dropout?0
Parameters?6.81M
Training Config
Total iters?8,000
Batch size?4
Max LR?0.00005
Optimizer?adamw
Backend?helios
Tokenizer?bpe
Seed?42
Weight decay?0.1
Grad clip?1
Eval interval?200
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": 4000,
"blockSize": 128,
"nLayer": 6,
"nEmbd": 256,
"nHead": 8,
"dropout": 0,
"ffnActivation": "gelu"
}Training Config (JSON)
{
"iters": 8000,
"batchSize": 4,
"lr": 0.00005,
"lrMin": 0.000005,
"warmupIters": 200,
"beta1": 0.9,
"beta2": 0.95,
"eps": 1e-8,
"weightDecay": 0.1,
"gradClip": 1,
"evalInterval": 200,
"evalIters": 1,
"seed": 42,
"backend": "helios",
"tokenizer": "bpe",
"optimizer": "adamw",
"logLevel": "info",
"logEvery": 25,
"trace": false,
"gradAccumSteps": 1,
"sampleInterval": 0,
"spikeThreshold": 0,
"syncEvery": 1,
"gcEvery": 1,
"packed": false,
"symbio": false,
"symbioConfig": null
}