20260222190938_jp13completedconcordance5.64M params15s elapsed · Updated 1d ago
1L / 64D / 2H · cpu_ref · bpe-64k · adamw· Created Feb 22, 2026 7:09 PM
Step 3 / 3100.0%
10.6741
Loss?
10.6741
Best Loss?
-0.2% from start
-
Val Loss?
1.81e-5
Learning Rate?
12
Throughput?
tok/s (avg)
5,169
Speed?
ms/iter (avg)
1.706
Grad Norm?
avg: 1.670
192
Tokens
processed
Loss Curve ?
Validation / selection
Run diagnostics
Gradient + Loss
Train/val loss with validation, warmup, overfit, and instability markers.
Search-aware view
Architecture
Layers?1
Embedding?64
Heads?2
Vocab?43,642
Context?32
Dropout?0
Parameters?5.64M
Training Config
Total iters?3
Batch size?2
Max LR?0.00006
Optimizer?adamw
Backend?cpu_ref
Tokenizer?bpe-64k
Seed?42
Weight decay?0.1
Grad clip?1
Eval interval?100
GPU & VRAM
Learning Rate
Grad Norm
Step Time Breakdown
Step Time Breakdown
No timing data
Checkpoints (0) ?
No checkpoints saved
{
"vocabSize": 43642,
"blockSize": 32,
"nLayer": 1,
"nEmbd": 64,
"nHead": 2,
"dropout": 0
}{
"iters": 3,
"batchSize": 2,
"lr": 0.00006,
"beta1": 0.9,
"beta2": 0.95,
"eps": 1e-8,
"weightDecay": 0.1,
"gradClip": 1,
"evalInterval": 100,
"evalIters": 10,
"seed": 42,
"backend": "cpu_ref",
"tokenizer": "bpe-64k",
"optimizer": "adamw",
"logLevel": "info",
"trace": false
}