A
Alpha
fine_corpus_large_v4stalefine_corpus20.51M params13m 3s elapsed · Updated 36d ago
8L / 384D / 6H · helios · bpe-8k · adamw· Created Mar 8, 2026 10:09 AM
Step 2,845 / 78,0003.6%
7.1466
Loss?
5.9523
Best Loss?
-21.0% from start
6.9512
Val Loss?
best: 6.9020
3.00e-4
Learning Rate?
7,419
Throughput?
tok/s (avg)
277
Speed?
ms/iter (avg)
192.458
Grad Norm?
avg: 125.915
5.83M
Tokens
processed
Loss Curve ? click any chart to add markers
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?
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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?0.0003
Optimizer?adamw
Backend?helios
Tokenizer?bpe-8k
Seed?42
Weight decay?0.1
Grad clip?5
Eval interval?500
Throughput (tok/s)
Step Time (ms/iter)
GPU & VRAM
Perplexity
Train/Val Gap
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

Transformer Layer Analysis

Gradient Norm Heatmap
Per-Layer Gradient Evolution
Checkpoints (0) ?
No checkpoints saved
Sample Generations (1)
#CheckpointPrompt (preview)Generated
1-The 36d ago
Prompt
The
Output
The ytf" ata c-a l""-3
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": 0.0003,
  "lrMin": 0.00003,
  "warmupIters": 1000,
  "beta1": 0.9,
  "beta2": 0.999,
  "eps": 1e-8,
  "weightDecay": 0.1,
  "gradClip": 5,
  "evalInterval": 500,
  "evalIters": 10,
  "seed": 42,
  "backend": "helios",
  "tokenizer": "bpe-8k",
  "optimizer": "adamw",
  "logLevel": "info",
  "logEvery": 25,
  "trace": false,
  "gradAccumSteps": 1,
  "sampleInterval": 2000,
  "spikeThreshold": 0,
  "syncEvery": 1,
  "gcEvery": 1,
  "packed": true,
  "symbio": false,
  "symbioConfig": null
}