A
Alpha
20260224053053_zek5completedchat6.84M params54m 27s elapsed · Updated 1d ago
6L / 256D / 8H · helios · bpe-4k · adamw· Created Feb 24, 2026 5:31 AM
Step 5,836 / 50,00011.7%
5.7909
Loss?
5.3617
Best Loss?
-30.7% from start
6.0736
Val Loss?
best: 5.9736
2.92e-5
Learning Rate?
7,573
Throughput?
tok/s (avg)
541
Speed?
ms/iter (avg)
4292.889
Grad Norm?
avg: 6971.933
23.67M
Tokens
processed
63ms
Forward
12% of step
416ms
Backward
77% of step
25ms
GPU Sync
5% of step
1,064
GPU Ops
per step
1.0%
MFU
model FLOPS util
6.6x
Bwd/Fwd
ratio
Loss Curve ?
Validation / selection
Run diagnostics
Gradient + Loss
Train/val loss with validation, warmup, overfit, and instability markers.
Search-aware view
Architecture
Layers?6
Embedding?256
Heads?8
Vocab?4,000
Context?256
Dropout?0.1
Parameters?6.84M
Training Config
Total iters?50,000
Batch size?16
Max LR?0.00003
Optimizer?adamw
Backend?helios
Tokenizer?bpe-4k
Seed?42
Weight decay?0.1
Grad clip?1
Eval interval?2500
GPU & VRAM
Learning Rate
Grad Norm
Step Time Breakdown
Step Time Breakdown
Checkpoints (0) ?
No checkpoints saved
Sample Generations (3)
#CheckpointPrompt (preview)Generated
1-<|user|> Hello, how are you? <|assistant|>1d ago
Prompt
<|user|> Hello, how are you? <|assistant|>
Output
<|user|> Hello, how are you? <|assistant|>er—that in the cof our sed without erarc—not the ned by must the unnyesas of the fto s as may cds from I an—the true st; awars we an,
2-<|user|> What do you like to do for fun? <|assistant|>1d ago
Prompt
<|user|> What do you like to do for fun? <|assistant|>
Output
<|user|> What do you like to do for fun? <|assistant|>; your n; your acin both to act to both sing the a ging or its of the cred. <|assistant|> If in human is to are your acy t to a of the pening to the cit and it the to no not
3-<|user|> Tell me about yourself. <|assistant|>1d ago
Prompt
<|user|> Tell me about yourself. <|assistant|>
Output
<|user|> Tell me about yourself. <|assistant|>s and the and s y a for a in exin which to exors from which our tmay the moral in the eder and not unged we and to a moral y y, to as in a, to yal, ping p
{
  "vocabSize": 4000,
  "blockSize": 256,
  "nLayer": 6,
  "nEmbd": 256,
  "nHead": 8,
  "dropout": 0.1
}
{
  "iters": 50000,
  "batchSize": 16,
  "lr": 0.00003,
  "lrMin": 0.000003,
  "warmupIters": 500,
  "beta1": 0.9,
  "beta2": 0.99,
  "eps": 1e-8,
  "weightDecay": 0.1,
  "gradClip": 1,
  "evalInterval": 2500,
  "evalIters": 10,
  "seed": 42,
  "backend": "helios",
  "tokenizer": "bpe-4k",
  "optimizer": "adamw",
  "logLevel": "info",
  "trace": false,
  "gradAccumSteps": 1,
  "sampleInterval": 500,
  "spikeThreshold": 0
}