super_chat_20260306203249_2vw9stalesuper_chat6.90M params4m 2s elapsed · Updated 38d ago
6L / 256D / 8H · helios · bpe-chat-4k · adamw· Created Mar 6, 2026 8:35 PM
Step 258 / 50,0000.5%
6.5805
Loss?
6.5551
Best Loss?
-21.2% from start
-
Val Loss?
1.21e-4
Learning Rate?
8,976
Throughput?
tok/s (avg)
998
Speed?
ms/iter (avg)
0.128
Grad Norm?
avg: 0.132
1.84M
Tokens
processed
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?6
Embedding?256
Heads?8
Vocab?4,000
Context?512
Dropout?0
Parameters?6.90M
Training Config
Total iters?50,000
Batch size?4
Max LR?0.0006
Optimizer?adamw
Backend?helios
Tokenizer?bpe-chat-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
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": 6,
"nEmbd": 256,
"nHead": 8,
"dropout": 0,
"ffnActivation": "gelu"
}Training Config (JSON)
{
"iters": 50000,
"batchSize": 4,
"lr": 0.0006,
"lrMin": 0.00006,
"warmupIters": 2000,
"beta1": 0.9,
"beta2": 0.95,
"eps": 1e-8,
"weightDecay": 0.1,
"gradClip": 1,
"evalInterval": 500,
"evalIters": 10,
"seed": 42,
"backend": "helios",
"tokenizer": "bpe-chat-4k",
"optimizer": "adamw",
"logLevel": "info",
"logEvery": 25,
"trace": false,
"gradAccumSteps": 4,
"sampleInterval": 500,
"spikeThreshold": 0,
"syncEvery": 0,
"gcEvery": 0,
"packed": true,
"symbio": false,
"symbioConfig": null
}