A
Alpha
soda_chat_20260306043601_d5ijstalenanochat55.77M params5m 46s elapsed · Updated 38d ago
16L / 512D / 8H · helios · bpe-chat-4k · adamw· Created Mar 6, 2026 4:36 AM
Step 381 / 20,0001.9%
6.7780
Loss?
6.6558
Best Loss?
-19.2% from start
-
Val Loss?
2.32e-5
Learning Rate?
2,329
Throughput?
tok/s (avg)
929
Speed?
ms/iter (avg)
286.234
Grad Norm?
avg: 356.593
766.0K
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
No GPU data
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
}