chat_clean_20260225043118_y4h9staleunknown359.0K params0s elapsed · Updated 48d ago
2L / 64D / 2H · cpu_ref · bpe · adamw· Created Feb 25, 2026 4:33 AM
Step 1 / 502.0%
7.6155
Loss?
7.6155
Best Loss?
0.0% from start
-
Val Loss?
5.70e-5
Learning Rate?
205
Throughput?
tok/s (avg)
625
Speed?
ms/iter (avg)
1.454
Grad Norm?
avg: 1.454
128
Tokens
processed
247ms
Forward
40% of step
310ms
Backward
50% of step
0ms
GPU Sync
0% of step
0
GPU Ops
per step
0.0%
MFU
model FLOPS util
1.3x
Bwd/Fwd
ratio
Loss Curve ? click any chart to add markers
Waiting for telemetry...
Architecture
Layers?2
Embedding?64
Heads?2
Vocab?2,000
Context?64
Dropout?0.1
Parameters?359.0K
Training Config
Total iters?50
Batch size?2
Max LR?0.0003
Optimizer?adamw
Backend?cpu_ref
Tokenizer?bpe
Seed?42
Weight decay?0.1
Grad clip?1
Eval interval?25
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
Checkpoints (0) ?
No checkpoints saved
Model Config (JSON)
{
"vocabSize": 2000,
"blockSize": 64,
"nLayer": 2,
"nEmbd": 64,
"nHead": 2,
"dropout": 0.1
}Training Config (JSON)
{
"iters": 50,
"batchSize": 2,
"lr": 0.0003,
"lrMin": 0,
"warmupIters": 0,
"beta1": 0.9,
"beta2": 0.95,
"eps": 1e-8,
"weightDecay": 0.1,
"gradClip": 1,
"evalInterval": 25,
"evalIters": 10,
"seed": 42,
"backend": "cpu_ref",
"tokenizer": "bpe",
"optimizer": "adamw",
"logLevel": "info",
"trace": false,
"gradAccumSteps": 1,
"sampleInterval": 100,
"spikeThreshold": 0
}