super_chat_20260306132105_6b9xcompletednanochat88.33M params9m 42s elapsed · Updated 36d ago
16L / 512D / 8H · helios · bpe-chat-4k · adamw· Created Mar 6, 2026 1:23 PM
Step 200 / 200100.0%
6.7393
Loss?
6.6158
Best Loss?
-19.4% from start
-
Val Loss?
2.33e-4
Learning Rate?
313
Throughput?
tok/s (avg)
3,347
Speed?
ms/iter (avg)
1111578.784
Grad Norm?
avg: 58013.524
163.8K
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?200
Batch size?2
Max LR?0.0006
Optimizer?adamw
Backend?helios
Tokenizer?bpe-chat-4k
Seed?42
Weight decay?0.1
Grad clip?1
Eval interval?999
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": 200,
"batchSize": 2,
"lr": 0.0006,
"lrMin": 0.00006,
"warmupIters": 500,
"beta1": 0.9,
"beta2": 0.999,
"eps": 1e-8,
"weightDecay": 0.1,
"gradClip": 1,
"evalInterval": 999,
"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
}