abc-runstaleabc1.86M params3h 10m elapsed · Updated 36d ago
4L / 128D / 4H · cpu_ref · bpe · adamw· Created Feb 19, 2026 12:24 AM
Step 750 / 3,00025.0%
6.9983
Loss?
6.6056
Best Loss?
-8.3% from start
6.9808
Val Loss?
best: 6.7719
8.81e-4
Learning Rate?
57
Throughput?
tok/s (avg)
18,300
Speed?
ms/iter (avg)
873016.917
Grad Norm?
avg: 1859477.915
768.0K
Tokens
processed
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?4
Embedding?128
Heads?4
Vocab?2,000
Context?256
Dropout?0
Parameters?1.86M
Training Config
Total iters?3,000
Batch size?4
Max LR?0.001
Optimizer?adamw
Backend?cpu_ref
Tokenizer?bpe
Seed?42
Weight decay?0.01
Grad clip?1
Eval interval?250
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 (5) ?
StepFilenameSizeCreated
Model Config (JSON)
{
"vocabSize": 2000,
"blockSize": 256,
"nLayer": 4,
"nEmbd": 128,
"nHead": 4,
"dropout": 0
}Training Config (JSON)
{
"iters": 3000,
"batchSize": 4,
"lr": 0.001,
"beta1": 0.9,
"beta2": 0.999,
"eps": 1e-8,
"weightDecay": 0.01,
"gradClip": 1,
"evalInterval": 250,
"evalIters": 5,
"seed": 42,
"backend": "cpu_ref",
"tokenizer": "bpe",
"optimizer": "adamw",
"logLevel": "info",
"trace": false
}