A
Alpha
super_chat_20260306213659_09e2stalesuper_chat3.36M params0s elapsed · Updated 38d ago
4L / 192D / 6H · helios · bpe-chat-4k · adamw· Created Mar 6, 2026 9:39 PM
Step 146 / 50,0000.3%
8.3448
Loss?
8.3448
Best Loss?
-0.0% from start
-
Val Loss?
1.07e-4
Learning Rate?
29,151
Throughput?
tok/s (avg)
341
Speed?
ms/iter (avg)
58.711
Grad Norm?
avg: 47.910
12.3K
Tokens
processed
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?4
Embedding?192
Heads?6
Vocab?4,000
Context?256
Dropout?0
Parameters?3.36M
Training Config
Total iters?50,000
Batch size?12
Max LR?0.001
Optimizer?adamw
Backend?helios
Tokenizer?bpe-chat-4k
Seed?42
Weight decay?0.1
Grad clip?1
Eval interval?500
Throughput (tok/s)
Step Time (ms/iter)
GPU & VRAM
No GPU data
Perplexity
Train/Val Gap
No validation data
Learning Rate
Grad Norm
Smoothed Loss (EMA)
No Telemetry
Loss Velocity
Insufficient data
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": 4000,
  "blockSize": 256,
  "nLayer": 4,
  "nEmbd": 192,
  "nHead": 6,
  "dropout": 0,
  "ffnActivation": "gelu"
}
Training Config (JSON)
{
  "iters": 50000,
  "batchSize": 12,
  "lr": 0.001,
  "lrMin": 0.0001,
  "warmupIters": 500,
  "beta1": 0.9,
  "beta2": 0.95,
  "eps": 1e-8,
  "weightDecay": 0.1,
  "gradClip": 1,
  "evalInterval": 500,
  "evalIters": 10,
  "seed": 42,
  "backend": "helios",
  "tokenizer": "bpe-chat-4k",
  "optimizer": "adamw",
  "logLevel": "info",
  "logEvery": 25,
  "trace": false,
  "gradAccumSteps": 2,
  "sampleInterval": 500,
  "spikeThreshold": 0,
  "syncEvery": 0,
  "gcEvery": 0,
  "packed": true,
  "symbio": false,
  "symbioConfig": null
}