20260220095700_86kocompletednovels86.6K params0s elapsed · Updated 36d ago
2L / 32D / 2H · cpu_ref · bpe · adamw· Created Feb 20, 2026 9:57 AM
Step 1 / 1100.0%
6.5296
Loss?
6.5296
Best Loss?
0.0% from start
-
Val Loss?
3.00e-3
Learning Rate?
634
Throughput?
tok/s (avg)
202
Speed?
ms/iter (avg)
0.812
Grad Norm?
avg: 0.812
128
Tokens
processed
Loss Curve ? click any chart to add markers
Waiting for telemetry...
Architecture
Layers?2
Embedding?32
Heads?2
Vocab?686
Context?32
Dropout?0
Parameters?86.6K
Training Config
Total iters?1
Batch size?4
Max LR?0.0003
Optimizer?adamw
Backend?cpu_ref
Tokenizer?bpe
Seed?42
Weight decay?0.01
Grad clip?1
Eval interval?100
Throughput (tok/s)
No Telemetry
Step Time (ms/iter)
No Telemetry
GPU & VRAM
No GPU data
Perplexity
No Telemetry
Train/Val Gap
No validation data
Learning Rate
No Telemetry
Grad Norm
No Telemetry
Smoothed Loss (EMA)
No Telemetry
Loss Velocity
Insufficient data
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": 686,
"blockSize": 32,
"nLayer": 2,
"nEmbd": 32,
"nHead": 2,
"dropout": 0
}Training Config (JSON)
{
"iters": 1,
"batchSize": 4,
"lr": 0.0003,
"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
}