20260223074828_rkdzcompletedchat1.85M params4m 46s elapsed · Updated 48d ago
4L / 128D / 4H · helios · bpe-4k · adamw· Created Feb 23, 2026 7:48 AM
Step 823 / 5,00016.5%
7.3052
Loss?
6.6606
Best Loss?
-12.1% from start
-
Val Loss?
9.87e-4
Learning Rate?
4,047
Throughput?
tok/s (avg)
507
Speed?
ms/iter (avg)
3964.295
Grad Norm?
avg: 562.037
1.36M
Tokens
processed
116ms
Forward
23% of step
355ms
Backward
70% of step
6ms
GPU Sync
1% of step
737
GPU Ops
per step
0.1%
MFU
model FLOPS util
3.1x
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?5,000
Batch size?8
Max LR?0.001
Optimizer?adamw
Backend?helios
Tokenizer?bpe-4k
Seed?42
Weight decay?0.1
Grad clip?0.5
Eval interval?1000
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)
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": 4,
"nEmbd": 128,
"nHead": 4,
"dropout": 0
}Training Config (JSON)
{
"iters": 5000,
"batchSize": 8,
"lr": 0.001,
"beta1": 0.9,
"beta2": 0.999,
"eps": 0.000001,
"weightDecay": 0.1,
"gradClip": 0.5,
"evalInterval": 1000,
"evalIters": 10,
"seed": 42,
"backend": "helios",
"tokenizer": "bpe-4k",
"optimizer": "adamw",
"logLevel": "info",
"trace": false,
"gradAccumSteps": 1,
"sampleInterval": 1000
}