novels-runcompletednovels949.2K params30m 24s elapsed · Updated 36d ago
3L / 96D / 4H · cpu_ref · bpe · adamw· Created Feb 19, 2026 12:24 AM
Step 420 / 420100.0%
6.1015
Loss?
6.0407
Best Loss?
-20.0% from start
6.3068
Val Loss?
best: 6.3068
1.04e-8
Learning Rate?
133
Throughput?
tok/s (avg)
4,398
Speed?
ms/iter (avg)
1.012
Grad Norm?
avg: 1.022
241.9K
Tokens
processed
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?3
Embedding?96
Heads?4
Vocab?2,000
Context?96
Dropout?0
Parameters?949.2K
Training Config
Total iters?420
Batch size?6
Max LR?0.0006
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": 2000,
"blockSize": 96,
"nLayer": 3,
"nEmbd": 96,
"nHead": 4,
"dropout": 0
}Training Config (JSON)
{
"iters": 420,
"batchSize": 6,
"lr": 0.0006,
"beta1": 0.9,
"beta2": 0.999,
"eps": 1e-8,
"weightDecay": 0.01,
"gradClip": 1,
"evalInterval": 100,
"evalIters": 10,
"seed": 42,
"backend": "cpu_ref",
"tokenizer": "bpe",
"optimizer": "adamw",
"logLevel": "info",
"trace": false
}