A
Alpha
overnight-runcompletednovels1.84M params7h 39m elapsed · Updated 5m ago
4L / 128D / 4H · cpu_ref · bpe · adamw· Created Feb 19, 2026 12:24 AM
Step 1,800 / 1,800100.0%
5.4694
Loss?
5.0327
Best Loss?
-28.3% from start
5.5252
Val Loss?
best: 5.5075
2.56e-10
Learning Rate?
56
Throughput?
tok/s (avg)
20,902
Speed?
ms/iter (avg)
741.389
Grad Norm?
avg: 945.561
1.84M
Tokens
processed
Loss Curve ?
Validation / selection
Run diagnostics
Gradient + Loss
Train/val loss with validation, warmup, overfit, and instability markers.
Search-aware view
Architecture
Layers?4
Embedding?128
Heads?4
Vocab?2,000
Context?128
Dropout?0
Parameters?1.84M
Training Config
Total iters?1,800
Batch size?8
Max LR?0.0003
Optimizer?adamw
Backend?cpu_ref
Tokenizer?bpe
Seed?42
Weight decay?0.01
Grad clip?1
Eval interval?200
GPU & VRAM
No GPU data
Learning Rate
Grad Norm
Step Time Breakdown
Step Time Breakdown
No timing data
Checkpoints (4) ?
StepFilenameSizeCreated
1,800checkpoint-1800.json86.5 MB6d ago
1,500checkpoint-1500.json86.7 MB6d ago
1,000checkpoint-1000.json86.7 MB6d ago
500checkpoint-500.json87.5 MB6d ago
{
  "vocabSize": 2000,
  "blockSize": 128,
  "nLayer": 4,
  "nEmbd": 128,
  "nHead": 4,
  "dropout": 0
}
{
  "iters": 1800,
  "batchSize": 8,
  "lr": 0.0003,
  "beta1": 0.9,
  "beta2": 0.999,
  "eps": 1e-8,
  "weightDecay": 0.01,
  "gradClip": 1,
  "evalInterval": 200,
  "evalIters": 20,
  "seed": 42,
  "backend": "cpu_ref",
  "tokenizer": "bpe",
  "optimizer": "adamw",
  "logLevel": "info",
  "trace": false
}