20260223075509_uf96completedchat1.85M params0s elapsed · Updated 1d ago
4L / 128D / 4H · helios · bpe-4k · adamw· Created Feb 23, 2026 8:14 AM
Step 6 / 5,0000.1%
8.3245
Loss?
8.3245
Best Loss?
0.0% from start
-
Val Loss?
3.60e-6
Learning Rate?
5,667
Throughput?
tok/s (avg)
361
Speed?
ms/iter (avg)
0.888
Grad Norm?
avg: 0.888
2.0K
Tokens
processed
86ms
Forward
24% of step
247ms
Backward
68% of step
6ms
GPU Sync
2% of step
696
GPU Ops
per step
0.2%
MFU
model FLOPS util
2.9x
Bwd/Fwd
ratio
Loss Curve ?
Waiting for more data...
Architecture
Layers?4
Embedding?128
Heads?4
Vocab?4,000
Context?256
Dropout?0
Parameters?1.85M
Training Config
Total iters?5,000
Batch size?8
Max LR?0.0003
Optimizer?adamw
Backend?helios
Tokenizer?bpe-4k
Seed?42
Weight decay?0.01
Grad clip?1
Eval interval?1000
GPU & VRAM
No GPU data
Learning Rate
No data
Grad Norm
No data
Step Time Breakdown
Step Time Breakdown
Checkpoints (0) ?
No checkpoints saved
{
"vocabSize": 4000,
"blockSize": 256,
"nLayer": 4,
"nEmbd": 128,
"nHead": 4,
"dropout": 0
}{
"iters": 5000,
"batchSize": 8,
"lr": 0.0003,
"beta1": 0.9,
"beta2": 0.999,
"eps": 0.000001,
"weightDecay": 0.01,
"gradClip": 1,
"evalInterval": 1000,
"evalIters": 10,
"seed": 42,
"backend": "helios",
"tokenizer": "bpe-4k",
"optimizer": "adamw",
"logLevel": "info",
"trace": false,
"gradAccumSteps": 1,
"sampleInterval": 1000
}