super_chat_20260310042210_71ysstaleconcordance-chat34.16M params · Updated 34d ago
8L / 512D / 8H · helios · bpe-8k-chat · adamw· Created Mar 10, 2026 4:23 AM
Step 0 / 8,0000.0%
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Loss?
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Best Loss?
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Val Loss?
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Learning Rate?
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Throughput?
tok/s (avg)
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Speed?
ms/iter (avg)
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Grad Norm?
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Tokens
processed
Loss Curve ? click any chart to add markers
Waiting for telemetry...
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)
No Telemetry
Step Time (ms/iter)
No Telemetry
GPU & VRAM
No GPU data
Perplexity
No Telemetry
Train/Val Gap
No validation data
Learning Rate
No Telemetry
Grad Norm
No Telemetry
Smoothed Loss (EMA)
No Telemetry
Loss Velocity
Insufficient data
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": 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
}