20260224123621_s6v0completedchat17.44M params2m 21s elapsed · Updated 48d ago
8L / 384D / 8H · helios · bpe-4k · adamw· Created Feb 24, 2026 12:36 PM
Step 0 / 15,0000.0%
8.1188
Loss?
8.1188
Best Loss?
-2.9% from start
-
Val Loss?
8.06e-6
Learning Rate?
868
Throughput?
tok/s (avg)
11,800
Speed?
ms/iter (avg)
0.782
Grad Norm?
avg: 2.896
122.9K
Tokens
processed
9702ms
Forward
82% of step
1936ms
Backward
16% of step
73ms
GPU Sync
1% of step
1,470
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
}