20260223060953_gye0completedchat6.84M params3m 13s elapsed · Updated 1d ago
6L / 256D / 8H · helios · bpe-4k · adamw· Created Feb 23, 2026 6:10 AM
Step 105 / 10,0001.1%
7.6060
Loss?
7.6060
Best Loss?
-8.9% from start
-
Val Loss?
3.15e-5
Learning Rate?
9,474
Throughput?
tok/s (avg)
13,836
Speed?
ms/iter (avg)
41.284
Grad Norm?
avg: 29.049
1.84M
Tokens
processed
1517ms
Forward
11% of step
12260ms
Backward
89% of step
6ms
GPU Sync
0% of step
3,577
GPU Ops
per step
0.3%
MFU
model FLOPS util
8.1x
Bwd/Fwd
ratio
Loss Curve ?
Validation / selection
Run diagnostics
Gradient + Loss
Train/val loss with validation, warmup, overfit, and instability markers.
Search-aware view
Architecture
Layers?6
Embedding?256
Heads?8
Vocab?4,000
Context?256
Dropout?0
Parameters?6.84M
Training Config
Total iters?10,000
Batch size?128
Max LR?0.00015
Optimizer?adamw
Backend?helios
Tokenizer?bpe-4k
Seed?42
Weight decay?0.01
Grad clip?1
Eval interval?500
GPU & VRAM
Learning Rate
Grad Norm
Step Time Breakdown
Step Time Breakdown
Checkpoints (0) ?
No checkpoints saved
{
"vocabSize": 4000,
"blockSize": 256,
"nLayer": 6,
"nEmbd": 256,
"nHead": 8,
"dropout": 0
}{
"iters": 10000,
"batchSize": 128,
"lr": 0.00015,
"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": true,
"gradAccumSteps": 4
}