20260223051852_sebhcompletedchat6.84M params6m 13s elapsed · Updated 48d ago
6L / 256D / 8H · helios · bpe-4k · adamw· Created Feb 23, 2026 5:19 AM
Step 209 / 5,0004.2%
6.1418
Loss?
5.8977
Best Loss?
-26.4% from start
-
Val Loss?
2.51e-4
Learning Rate?
9,489
Throughput?
tok/s (avg)
13,814
Speed?
ms/iter (avg)
104.075
Grad Norm?
avg: 48.002
3.54M
Tokens
processed
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?6
Embedding?256
Heads?8
Vocab?4,000
Context?256
Dropout?0
Parameters?6.84M
Training Config
Total iters?5,000
Batch size?128
Max LR?0.0006
Optimizer?adamw
Backend?helios
Tokenizer?bpe-4k
Seed?42
Weight decay?0.01
Grad clip?1
Eval interval?500
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
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": 4000,
"blockSize": 256,
"nLayer": 6,
"nEmbd": 256,
"nHead": 8,
"dropout": 0
}Training Config (JSON)
{
"iters": 5000,
"batchSize": 128,
"lr": 0.0006,
"beta1": 0.9,
"beta2": 0.999,
"eps": 0.000001,
"weightDecay": 0.01,
"gradClip": 1,
"evalInterval": 500,
"evalIters": 10,
"seed": 42,
"backend": "helios",
"tokenizer": "bpe-4k",
"optimizer": "adamw",
"logLevel": "debug",
"trace": false,
"gradAccumSteps": 4
}