20260224063528_2gdqcompletedchat6.84M params1m 47s elapsed · Updated 1d ago
6L / 256D / 8H · helios · bpe-4k · adamw· Created Feb 24, 2026 6:35 AM
Step 48 / 50,0000.1%
8.3087
Loss?
8.3025
Best Loss?
-0.6% from start
-
Val Loss?
5.59e-6
Learning Rate?
839
Throughput?
tok/s (avg)
4,884
Speed?
ms/iter (avg)
60.314
Grad Norm?
avg: 30.988
90.1K
Tokens
processed
3403ms
Forward
70% of step
1403ms
Backward
29% of step
44ms
GPU Sync
1% of step
1,116
GPU Ops
per step
0.1%
MFU
model FLOPS util
0.4x
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
{
"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
}