A
Alpha
super_chat_20260305205554_zz3dstalesuper_chat1.85M params0s elapsed · Updated 39d ago
4L / 128D / 4H · helios · bpe-chat-4k · adamw· Created Mar 5, 2026 8:57 PM
Step 10 / 12,0000.1%
8.3198
Loss?
8.3120
Best Loss?
-0.0% from start
-
Val Loss?
1.05e-5
Learning Rate?
97,429
Throughput?
tok/s (avg)
50
Speed?
ms/iter (avg)
0.379
Grad Norm?
avg: 0.375
41.0K
Tokens
processed
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?4
Embedding?128
Heads?4
Vocab?4,000
Context?256
Dropout?0.1
Parameters?1.85M
Training Config
Total iters?12,000
Batch size?8
Max LR?0.0001
Optimizer?adamw
Backend?helios
Tokenizer?bpe-chat-4k
Seed?42
Weight decay?0.01
Grad clip?1
Eval interval?200
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)
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": 128,
  "nHead": 4,
  "dropout": 0.1,
  "ffnActivation": "silu"
}
Training Config (JSON)
{
  "iters": 12000,
  "batchSize": 8,
  "lr": 0.0001,
  "lrMin": 0.00001,
  "warmupIters": 2000,
  "beta1": 0.9,
  "beta2": 0.95,
  "eps": 1e-8,
  "weightDecay": 0.01,
  "gradClip": 1,
  "evalInterval": 200,
  "evalIters": 10,
  "seed": 42,
  "backend": "helios",
  "tokenizer": "bpe-chat-4k",
  "optimizer": "adamw",
  "logLevel": "info",
  "logEvery": 25,
  "trace": false,
  "gradAccumSteps": 2,
  "sampleInterval": 200,
  "spikeThreshold": 60,
  "syncEvery": 0,
  "gcEvery": 0,
  "packed": true,
  "symbio": false,
  "symbioConfig": null
}