super_chat_20260306122507_hu7rcompletednanochat88.33M params5m 25s elapsed · Updated 36d ago
16L / 512D / 8H · helios · bpe-chat-4k · adamw· Created Mar 6, 2026 12:27 PM
Step 500 / 500100.0%
6.8672
Loss?
6.5718
Best Loss?
-18.2% from start
6.9053
Val Loss?
best: 6.9053
1.64e-4
Learning Rate?
624
Throughput?
tok/s (avg)
3,384
Speed?
ms/iter (avg)
7202951.714
Grad Norm?
avg: 1349986.092
190.5K
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?500
Batch size?4
Max LR?0.0006
Optimizer?adamw
Backend?helios
Tokenizer?bpe-chat-4k
Seed?42
Weight decay?0.1
Grad clip?1
Eval interval?50
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
Model Config (JSON)
{
"vocabSize": 4000,
"blockSize": 512,
"nLayer": 16,
"nEmbd": 512,
"nHead": 8,
"dropout": 0,
"ffnActivation": "swiglu"
}Training Config (JSON)
{
"iters": 500,
"batchSize": 4,
"lr": 0.0006,
"lrMin": 0.00006,
"warmupIters": 500,
"beta1": 0.9,
"beta2": 0.999,
"eps": 1e-8,
"weightDecay": 0.1,
"gradClip": 1,
"evalInterval": 50,
"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
}