A
Alpha
soda_chat_20260306043344_nmzkstalenanochat55.77M params2m 19s elapsed · Updated 39d ago
16L / 512D / 8H · helios · bpe-chat-4k · adamw· Created Mar 6, 2026 4:33 AM
Step 126 / 20,0000.6%
6.9290
Loss?
6.8059
Best Loss?
-17.4% from start
-
Val Loss?
9.80e-5
Learning Rate?
1,283
Throughput?
tok/s (avg)
1,648
Speed?
ms/iter (avg)
1.637
Grad Norm?
avg: 1.467
258.0K
Tokens
processed
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?16
Embedding?512
Heads?8
Vocab?4,000
Context?512
Dropout?0
Parameters?55.77M
Training Config
Total iters?20,000
Batch size?4
Max LR?0.0003
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
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": 4000,
  "blockSize": 512,
  "nLayer": 16,
  "nEmbd": 512,
  "nHead": 8,
  "dropout": 0,
  "ffnActivation": "swiglu"
}
Training Config (JSON)
{
  "iters": 20000,
  "batchSize": 4,
  "lr": 0.0003,
  "lrMin": 0.00003,
  "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": 1,
  "trace": false,
  "gradAccumSteps": 1,
  "sampleInterval": 99999,
  "spikeThreshold": 50,
  "syncEvery": 1,
  "gcEvery": 1,
  "packed": true,
  "symbio": false,
  "symbioConfig": null
}