A
Alpha
fine_corpus_l4_20260308_054938stalefine_corpus20.51M params2m 59s elapsed · Updated 36d ago
8L / 384D / 6H · helios · bpe-8k · adamw· Created Mar 8, 2026 5:51 AM
Step 535 / 78,0000.7%
8.2997
Loss?
7.9650
Best Loss?
-8.4% from start
8.5526
Val Loss?
best: 8.5526
6.00e-5
Learning Rate?
5,129
Throughput?
tok/s (avg)
400
Speed?
ms/iter (avg)
1.0632215437659216e+36
Grad Norm?
avg: 1.761595774284327e+36
1.07M
Tokens
processed
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?8
Embedding?384
Heads?6
Vocab?8,000
Context?512
Dropout?0
Parameters?20.51M
Training Config
Total iters?78,000
Batch size?4
Max LR?0.0006
Optimizer?adamw
Backend?helios
Tokenizer?bpe-8k
Seed?42
Weight decay?0.1
Grad clip?1
Eval interval?500
Throughput (tok/s)
Step Time (ms/iter)
GPU & VRAM
Perplexity
Train/Val Gap
No validation data
Learning Rate
Grad Norm
Smoothed Loss (EMA)
Loss Velocity
Gradient Clipping
GPU Operations
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": 8000,
  "blockSize": 512,
  "nLayer": 8,
  "nEmbd": 384,
  "nHead": 6,
  "dropout": 0,
  "ffnActivation": "gelu"
}
Training Config (JSON)
{
  "iters": 78000,
  "batchSize": 4,
  "lr": 0.0006,
  "lrMin": 0.00006,
  "warmupIters": 500,
  "beta1": 0.9,
  "beta2": 0.999,
  "eps": 1e-8,
  "weightDecay": 0.1,
  "gradClip": 1,
  "evalInterval": 500,
  "evalIters": 10,
  "seed": 42,
  "backend": "helios",
  "tokenizer": "bpe-8k",
  "optimizer": "adamw",
  "logLevel": "info",
  "logEvery": 25,
  "trace": false,
  "gradAccumSteps": 1,
  "sampleInterval": 2000,
  "spikeThreshold": 10000,
  "syncEvery": 1,
  "gcEvery": 1,
  "packed": true,
  "symbio": false,
  "symbioConfig": null
}