chords-runcompletedchords273.7K params38m 3s elapsed · Updated 36d ago
3L / 64D / 4H · cpu_ref · word · adamw· Created Feb 19, 2026 12:24 AM
Step 2,000 / 2,000100.0%
2.9471
Loss?
2.1365
Best Loss?
-42.8% from start
3.0450
Val Loss?
best: 2.8323
6.83e-10
Learning Rate?
454
Throughput?
tok/s (avg)
1,127
Speed?
ms/iter (avg)
2249.026
Grad Norm?
avg: 4537.844
1.02M
Tokens
processed
Loss Curve ? click any chart to add markers
?
?
?
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Architecture
Layers?3
Embedding?64
Heads?4
Vocab?170
Context?64
Dropout?0
Parameters?273.7K
Training Config
Total iters?2,000
Batch size?8
Max LR?0.001
Optimizer?adamw
Backend?cpu_ref
Tokenizer?word
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 (10) ?
StepFilenameSizeCreated
Model Config (JSON)
{
"vocabSize": 170,
"blockSize": 64,
"nLayer": 3,
"nEmbd": 64,
"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": "word",
"optimizer": "adamw",
"logLevel": "info",
"trace": false
}