20260219032338_r8ypcompletednovels726.3K params9m 52s elapsed · Updated 54d ago
3L / 96D / 4H · cpu_ref · bpe · adamw· Created Feb 19, 2026 3:24 AM
Step 99 / 10099.0%
6.9420
Loss?
6.8673
Best Loss?
-9.0% from start
6.9593
Val Loss?
best: 6.9593
1.83e-7
Learning Rate?
96
Throughput?
tok/s (avg)
6,127
Speed?
ms/iter (avg)
0.492
Grad Norm?
avg: 0.500
55.9K
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?726.3K
Training Config
Total iters?100
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?50
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 (0) ?
No checkpoints saved
Model Config (JSON)
{
"vocabSize": 2000,
"blockSize": 96,
"nLayer": 3,
"nEmbd": 96,
"nHead": 4,
"dropout": 0
}Training Config (JSON)
{
"iters": 100,
"batchSize": 6,
"lr": 0.0006,
"beta1": 0.9,
"beta2": 0.999,
"eps": 1e-8,
"weightDecay": 0.01,
"gradClip": 1,
"evalInterval": 50,
"evalIters": 10,
"seed": 42,
"backend": "cpu_ref",
"tokenizer": "bpe",
"optimizer": "adamw",
"logLevel": "info",
"trace": false
}