A
Alpha
super_chat_20260225204011_4kh2stalechat17.44M params8m 18s elapsed · Updated 47d ago
8L / 384D / 8H · helios · bpe-4k · adamw· Created Feb 25, 2026 8:41 PM
Step 368 / 50,0000.7%
6.3590
Loss?
6.2361
Best Loss?
-24.0% from start
-
Val Loss?
2.16e-5
Learning Rate?
7,567
Throughput?
tok/s (avg)
1,354
Speed?
ms/iter (avg)
0.724
Grad Norm?
avg: 0.759
3.77M
Tokens
processed
314ms
Forward
23% of step
1000ms
Backward
74% of step
13ms
GPU Sync
1% of step
788
GPU Ops
per step
2.6%
MFU
model FLOPS util
3.2x
Bwd/Fwd
ratio
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?8
Embedding?384
Heads?8
Vocab?4,000
Context?512
Dropout?0.1
Parameters?17.44M
Training Config
Total iters?50,000
Batch size?20
Max LR?0.00005
Optimizer?adamw
Backend?helios
Tokenizer?bpe-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
Forward
Backward
Grad Norm
Optimizer
GPU Sync
Data
Timing Phase Lines
Backward / Forward Ratio
Checkpoints (0) ?
No checkpoints saved
Model Config (JSON)
{
  "vocabSize": 4000,
  "blockSize": 512,
  "nLayer": 8,
  "nEmbd": 384,
  "nHead": 8,
  "dropout": 0.1,
  "ffnActivation": "gelu"
}
Training Config (JSON)
{
  "iters": 50000,
  "batchSize": 20,
  "lr": 0.00005,
  "lrMin": 0.000005,
  "warmupIters": 1000,
  "beta1": 0.9,
  "beta2": 0.95,
  "eps": 0.000001,
  "weightDecay": 0.1,
  "gradClip": 1,
  "evalInterval": 500,
  "evalIters": 10,
  "seed": 42,
  "backend": "helios",
  "tokenizer": "bpe-4k",
  "optimizer": "adamw",
  "logLevel": "info",
  "trace": false,
  "gradAccumSteps": 1,
  "sampleInterval": 500,
  "spikeThreshold": 0,
  "syncEvery": 1,
  "gcEvery": 0,
  "packed": false,
  "symbio": false,
  "symbioConfig": null
}