20260224063528_2gdqcompletedchat6.84M params1m 47s elapsed · Updated 48d 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 ? click any chart to add markers
?
?
?
?
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
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
No clipping data
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": 256,
"nLayer": 6,
"nEmbd": 256,
"nHead": 8,
"dropout": 0.1
}Training Config (JSON)
{
"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
}