runcompletednovels258.2K params2m 44s elapsed · Updated 36d ago
2L / 64D / 4H · cpu_ref · bpe · adamw· Created Feb 19, 2026 12:24 AM
Step 300 / 300100.0%
3.5183
Loss?
3.2757
Best Loss?
-46.3% from start
3.7419
Val Loss?
best: 3.7419
3.38e-8
Learning Rate?
611
Throughput?
tok/s (avg)
420
Speed?
ms/iter (avg)
5.907
Grad Norm?
avg: 6.048
76.8K
Tokens
processed
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?2
Embedding?64
Heads?4
Vocab?694
Context?64
Dropout?0
Parameters?258.2K
Training Config
Total iters?300
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?100
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
Model Config (JSON)
{
"vocabSize": 694,
"blockSize": 64,
"nLayer": 2,
"nEmbd": 64,
"nHead": 4,
"dropout": 0
}Training Config (JSON)
{
"iters": 300,
"batchSize": 4,
"lr": 0.001,
"beta1": 0.9,
"beta2": 0.999,
"eps": 1e-8,
"weightDecay": 0.01,
"gradClip": 1,
"evalInterval": 100,
"evalIters": 5,
"seed": 42,
"backend": "cpu_ref",
"tokenizer": "bpe",
"optimizer": "adamw",
"logLevel": "info",
"trace": false
}