20260223060953_gye0completedchat6.84M params3m 13s elapsed · Updated 48d 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 ? 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?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
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": 256,
"nLayer": 6,
"nEmbd": 256,
"nHead": 8,
"dropout": 0
}Training Config (JSON)
{
"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
}