20260224130615_3umncompletedchat17.44M params12m 20s elapsed · Updated 48d ago
8L / 384D / 8H · helios · bpe-4k · adamw· Created Feb 24, 2026 1:06 PM
Step 0 / 15,0000.0%
7.3665
Loss?
7.3665
Best Loss?
-11.9% from start
-
Val Loss?
2.21e-5
Learning Rate?
872
Throughput?
tok/s (avg)
11,746
Speed?
ms/iter (avg)
0.596
Grad Norm?
avg: 3.147
645.1K
Tokens
processed
9736ms
Forward
83% of step
1831ms
Backward
16% of step
119ms
GPU Sync
1% of step
1,214
GPU Ops
per step
0.3%
MFU
model FLOPS util
0.2x
Bwd/Fwd
ratio
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?8
Embedding?384
Heads?8
Vocab?4,000
Context?512
Dropout?0.1
Parameters?17.44M
Training Config
Total iters?15,000
Batch size?20
Max LR?0.00005
Optimizer?adamw
Backend?helios
Tokenizer?bpe-4k
Seed?42
Weight decay?0.1
Grad clip?1
Eval interval?1000
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
Step Time Breakdown
Forward
Backward
Grad Norm
Optimizer
GPU Sync
Data
Timing Phase Lines
Backward / Forward Ratio
Checkpoints (0) ?
No checkpoints saved
Model Config (JSON)
{
"vocabSize": 4000,
"blockSize": 512,
"nLayer": 8,
"nEmbd": 384,
"nHead": 8,
"dropout": 0.1
}Training Config (JSON)
{
"iters": 15000,
"batchSize": 20,
"lr": 0.00005,
"lrMin": 0.000005,
"warmupIters": 1000,
"beta1": 0.9,
"beta2": 0.95,
"eps": 0.000001,
"weightDecay": 0.1,
"gradClip": 1,
"evalInterval": 1000,
"evalIters": 10,
"seed": 42,
"backend": "helios",
"tokenizer": "bpe-4k",
"optimizer": "adamw",
"logLevel": "info",
"trace": false,
"gradAccumSteps": 1,
"sampleInterval": 500,
"spikeThreshold": 0
}