A
Alpha
soda_chat_20260306063234_bkyrstalenanochat55.77M params3m 4s elapsed · Updated 38d ago
16L / 512D / 8H · helios · bpe-chat-4k · adamw· Created Mar 6, 2026 6:32 AM
Step 511 / 20,0002.6%
7.3650
Loss?
6.8671
Best Loss?
-12.3% from start
7.0160
Val Loss?
best: 7.0160
2.57e-4
Learning Rate?
1,745
Throughput?
tok/s (avg)
1,362
Speed?
ms/iter (avg)
0.000
Grad Norm?
avg: 854591.454
389.1K
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?50
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
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": 50,
  "evalIters": 10,
  "seed": 42,
  "backend": "helios",
  "tokenizer": "bpe-chat-4k",
  "optimizer": "adamw",
  "logLevel": "info",
  "logEvery": 1,
  "trace": false,
  "gradAccumSteps": 1,
  "sampleInterval": 99999,
  "spikeThreshold": 0,
  "syncEvery": 1,
  "gcEvery": 1,
  "packed": true,
  "symbio": false,
  "symbioConfig": null
}