abc-char-runstaleabc1.38M params3h 2m elapsed · Updated 36d ago
4L / 128D / 4H · cpu_ref · char · adamw· Created Feb 19, 2026 12:24 AM
Step 418 / 2,00020.9%
3.0966
Loss?
2.2790
Best Loss?
-33.0% from start
2.6914
Val Loss?
best: 2.5911
9.33e-4
Learning Rate?
81
Throughput?
tok/s (avg)
25,310
Speed?
ms/iter (avg)
66373.212
Grad Norm?
avg: 18227.637
856.1K
Tokens
processed
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?4
Embedding?128
Heads?4
Vocab?103
Context?256
Dropout?0
Parameters?1.38M
Training Config
Total iters?2,000
Batch size?8
Max LR?0.001
Optimizer?adamw
Backend?cpu_ref
Tokenizer?char
Seed?42
Weight decay?0.01
Grad clip?1
Eval interval?200
Throughput (tok/s)
Step Time (ms/iter)
GPU & VRAM
No GPU data
Perplexity
Train/Val Gap
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 (2) ?
StepFilenameSizeCreated
Model Config (JSON)
{
"vocabSize": 103,
"blockSize": 256,
"nLayer": 4,
"nEmbd": 128,
"nHead": 4,
"dropout": 0
}Training Config (JSON)
{
"iters": 2000,
"batchSize": 8,
"lr": 0.001,
"beta1": 0.9,
"beta2": 0.999,
"eps": 1e-8,
"weightDecay": 0.01,
"gradClip": 1,
"evalInterval": 200,
"evalIters": 10,
"seed": 42,
"backend": "cpu_ref",
"tokenizer": "char",
"optimizer": "adamw",
"logLevel": "info",
"trace": false
}