20260224064217_h9xecompletedchat6.84M params54s elapsed · Updated 48d ago
6L / 256D / 8H · helios · bpe-4k · adamw· Created Feb 24, 2026 6:42 AM
Step 36 / 50,0000.1%
8.3513
Loss?
8.3444
Best Loss?
-0.0% from start
-
Val Loss?
4.89e-6
Learning Rate?
1,595
Throughput?
tok/s (avg)
2,568
Speed?
ms/iter (avg)
1537.772
Grad Norm?
avg: 3491.923
86.0K
Tokens
processed
1806ms
Forward
70% of step
669ms
Backward
26% of step
51ms
GPU Sync
2% of step
1,248
GPU Ops
per step
0.2%
MFU
model FLOPS util
0.4x
Bwd/Fwd
ratio
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?6
Embedding?256
Heads?8
Vocab?4,000
Context?256
Dropout?0.1
Parameters?6.84M
Training Config
Total iters?50,000
Batch size?16
Max LR?0.00003
Optimizer?adamw
Backend?helios
Tokenizer?bpe-4k
Seed?42
Weight decay?0.1
Grad clip?1
Eval interval?2500
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": 0.1
}Training Config (JSON)
{
"iters": 50000,
"batchSize": 16,
"lr": 0.00003,
"lrMin": 0.000003,
"warmupIters": 500,
"beta1": 0.9,
"beta2": 0.99,
"eps": 1e-8,
"weightDecay": 0.1,
"gradClip": 1,
"evalInterval": 2500,
"evalIters": 10,
"seed": 42,
"backend": "helios",
"tokenizer": "bpe-4k",
"optimizer": "adamw",
"logLevel": "info",
"trace": false,
"gradAccumSteps": 1,
"sampleInterval": 500,
"spikeThreshold": 0
}