20260223071522_yrcdcompletedchat1.85M params1s elapsed · Updated 48d ago
4L / 128D / 4H · helios · bpe-4k · adamw· Created Feb 23, 2026 7:16 AM
Step 6 / 2,0000.3%
8.3110
Loss?
8.3110
Best Loss?
-0.2% from start
-
Val Loss?
9.00e-6
Learning Rate?
3,555
Throughput?
tok/s (avg)
590
Speed?
ms/iter (avg)
1.536
Grad Norm?
avg: 1.484
4.1K
Tokens
processed
169ms
Forward
29% of step
335ms
Backward
57% of step
5ms
GPU Sync
1% of step
737
GPU Ops
per step
0.1%
MFU
model FLOPS util
2.0x
Bwd/Fwd
ratio
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?4
Embedding?128
Heads?4
Vocab?4,000
Context?256
Dropout?0
Parameters?1.85M
Training Config
Total iters?2,000
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?500
Throughput (tok/s)
Step Time (ms/iter)
GPU & VRAM
No GPU data
Perplexity
Train/Val Gap
No validation data
Learning Rate
Grad Norm
Smoothed Loss (EMA)
No Telemetry
Loss Velocity
Insufficient data
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": 4,
"nEmbd": 128,
"nHead": 4,
"dropout": 0
}Training Config (JSON)
{
"iters": 2000,
"batchSize": 8,
"lr": 0.0003,
"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": "info",
"trace": false,
"gradAccumSteps": 1,
"sampleInterval": 500
}