20260222163220_oudfcompletedconcordance115.55M params10m 23s elapsed · Updated 48d ago
12L / 768D / 12H · helios · bpe-64k · adamw· Created Feb 22, 2026 4:32 PM
Step 409 / 5,0008.2%
12.5358
Loss?
7.2113
Best Loss?
26.6% from start
-
Val Loss?
7.94e-5
Learning Rate?
1,439
Throughput?
tok/s (avg)
5,693
Speed?
ms/iter (avg)
3975333.632
Grad Norm?
avg: 370496714.275
884.7K
Tokens
processed
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?12
Embedding?768
Heads?12
Vocab?19,777
Context?256
Dropout?0
Parameters?115.55M
Training Config
Total iters?5,000
Batch size?32
Max LR?0.0001
Optimizer?adamw
Backend?helios
Tokenizer?bpe-64k
Seed?42
Weight decay?0.1
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
No GPU ops data
Step Time Breakdown
No timing data
Timing Phase Lines
No timing data
Backward / Forward Ratio
No timing data
Checkpoints (0) ?
No checkpoints saved
Model Config (JSON)
{
"vocabSize": 19777,
"blockSize": 256,
"nLayer": 12,
"nEmbd": 768,
"nHead": 12,
"dropout": 0
}Training Config (JSON)
{
"iters": 5000,
"batchSize": 32,
"lr": 0.0001,
"beta1": 0.9,
"beta2": 0.95,
"eps": 1e-8,
"weightDecay": 0.1,
"gradClip": 1,
"evalInterval": 500,
"evalIters": 10,
"seed": 42,
"backend": "helios",
"tokenizer": "bpe-64k",
"optimizer": "adamw",
"logLevel": "info",
"trace": false
}