super_chat_20260305121027_v9xcstalesuper_chat1.33M params5s elapsed · Updated 39d ago
4L / 128D / 4H · helios · bpe · adamw· Created Mar 5, 2026 12:14 PM
Step 79 / 12,0000.7%
7.5815
Loss?
7.5815
Best Loss?
-0.6% from start
-
Val Loss?
3.42e-6
Learning Rate?
57,700
Throughput?
tok/s (avg)
71
Speed?
ms/iter (avg)
0.614
Grad Norm?
avg: 0.601
323.6K
Tokens
processed
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?4
Embedding?128
Heads?4
Vocab?2,000
Context?256
Dropout?0
Parameters?1.33M
Training Config
Total iters?12,000
Batch size?8
Max LR?0.00002
Optimizer?adamw
Backend?helios
Tokenizer?bpe
Seed?42
Weight decay?0.01
Grad clip?0.3
Eval interval?200
Throughput (tok/s)
Step Time (ms/iter)
GPU & VRAM
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
Checkpoints (0) ?
No checkpoints saved
Model Config (JSON)
{
"vocabSize": 2000,
"blockSize": 256,
"nLayer": 4,
"nEmbd": 128,
"nHead": 4,
"dropout": 0,
"ffnActivation": "gelu"
}Training Config (JSON)
{
"iters": 12000,
"batchSize": 8,
"lr": 0.00002,
"lrMin": 0.000002,
"warmupIters": 1000,
"beta1": 0.9,
"beta2": 0.95,
"eps": 1e-8,
"weightDecay": 0.01,
"gradClip": 0.3,
"evalInterval": 200,
"evalIters": 10,
"seed": 42,
"backend": "helios",
"tokenizer": "bpe",
"optimizer": "adamw",
"logLevel": "info",
"logEvery": 25,
"trace": false,
"gradAccumSteps": 2,
"sampleInterval": 200,
"spikeThreshold": 30,
"syncEvery": 1,
"gcEvery": 1,
"packed": false,
"symbio": false,
"symbioConfig": null
}