A
Alpha
runcompletednovels258.2K params2m 44s elapsed · Updated 5m ago
2L / 64D / 4H · cpu_ref · bpe · adamw· Created Feb 19, 2026 12:24 AM
Step 300 / 300100.0%
3.5183
Loss?
3.2757
Best Loss?
-46.3% from start
3.7419
Val Loss?
best: 3.7419
3.38e-8
Learning Rate?
611
Throughput?
tok/s (avg)
420
Speed?
ms/iter (avg)
5.907
Grad Norm?
avg: 6.048
76.8K
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?2
Embedding?64
Heads?4
Vocab?694
Context?64
Dropout?0
Parameters?258.2K
Training Config
Total iters?300
Batch size?4
Max LR?0.001
Optimizer?adamw
Backend?cpu_ref
Tokenizer?bpe
Seed?42
Weight decay?0.01
Grad clip?1
Eval interval?100
GPU & VRAM
No GPU data
Learning Rate
Grad Norm
Step Time Breakdown
Step Time Breakdown
No timing data
Checkpoints (1) ?
StepFilenameSizeCreated
300checkpoint-300.json12.4 MB6d ago
{
  "vocabSize": 694,
  "blockSize": 64,
  "nLayer": 2,
  "nEmbd": 64,
  "nHead": 4,
  "dropout": 0
}
{
  "iters": 300,
  "batchSize": 4,
  "lr": 0.001,
  "beta1": 0.9,
  "beta2": 0.999,
  "eps": 1e-8,
  "weightDecay": 0.01,
  "gradClip": 1,
  "evalInterval": 100,
  "evalIters": 5,
  "seed": 42,
  "backend": "cpu_ref",
  "tokenizer": "bpe",
  "optimizer": "adamw",
  "logLevel": "info",
  "trace": false
}