soda_chat_20260306075446_stf5completednanochat88.33M params12s elapsed · Updated 36d ago
16L / 512D / 8H · helios · bpe-chat-4k · adamw· Created Mar 6, 2026 7:54 AM
Step 10 / 10100.0%
8.3988
Loss?
8.3833
Best Loss?
0.1% from start
8.3941
Val Loss?
best: 8.3941
5.90e-6
Learning Rate?
1,751
Throughput?
tok/s (avg)
1,253
Speed?
ms/iter (avg)
2.836
Grad Norm?
avg: 2.829
20.5K
Tokens
processed
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?16
Embedding?512
Heads?8
Vocab?4,000
Context?512
Dropout?0
Parameters?88.33M
Training Config
Total iters?10
Batch size?4
Max LR?0.00005
Optimizer?adamw
Backend?helios
Tokenizer?bpe-chat-4k
Seed?42
Weight decay?0.1
Grad clip?1
Eval interval?1
Throughput (tok/s)
Step Time (ms/iter)
GPU & VRAM
Perplexity
Train/Val Gap
Learning Rate
Grad Norm
Smoothed Loss (EMA)
Loss Velocity
Insufficient data
Gradient Clipping
GPU Operations
Step Time Breakdown
No timing data
Timing Phase Lines
No timing data
Backward / Forward Ratio
No timing data
Model Config (JSON)
{
"vocabSize": 4000,
"blockSize": 512,
"nLayer": 16,
"nEmbd": 512,
"nHead": 8,
"dropout": 0,
"ffnActivation": "swiglu"
}Training Config (JSON)
{
"iters": 10,
"batchSize": 4,
"lr": 0.00005,
"lrMin": 0.000005,
"warmupIters": 500,
"beta1": 0.9,
"beta2": 0.95,
"eps": 1e-8,
"weightDecay": 0.1,
"gradClip": 1,
"evalInterval": 1,
"evalIters": 10,
"seed": 42,
"backend": "helios",
"tokenizer": "bpe-chat-4k",
"optimizer": "adamw",
"logLevel": "info",
"logEvery": 1,
"trace": false,
"gradAccumSteps": 1,
"sampleInterval": 99999,
"spikeThreshold": 0,
"syncEvery": 1,
"gcEvery": 1,
"packed": true,
"symbio": false,
"symbioConfig": null
}