super_chat_20260306152805_jpfustalenanochat55.77M params10m 8s elapsed · Updated 38d ago
16L / 512D / 8H · helios · bpe-chat-4k · adamw· Created Mar 6, 2026 3:30 PM
Step 325 / 50065.0%
6.6908
Loss?
6.4057
Best Loss?
-20.2% from start
-
Val Loss?
2.07e-4
Learning Rate?
1,080
Throughput?
tok/s (avg)
1,896
Speed?
ms/iter (avg)
3429.860
Grad Norm?
avg: 3386.479
659.5K
Tokens
processed
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?16
Embedding?512
Heads?8
Vocab?4,000
Context?512
Dropout?0
Parameters?55.77M
Training Config
Total iters?500
Batch size?4
Max LR?0.0003
Optimizer?adamw
Backend?helios
Tokenizer?bpe-chat-4k
Seed?42
Weight decay?0.1
Grad clip?1
Eval interval?999
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": 16,
"nEmbd": 512,
"nHead": 8,
"dropout": 0,
"ffnActivation": "swiglu"
}Training Config (JSON)
{
"iters": 500,
"batchSize": 4,
"lr": 0.0003,
"lrMin": 0.00003,
"warmupIters": 500,
"beta1": 0.9,
"beta2": 0.999,
"eps": 1e-8,
"weightDecay": 0.1,
"gradClip": 1,
"evalInterval": 999,
"evalIters": 10,
"seed": 42,
"backend": "helios",
"tokenizer": "bpe-chat-4k",
"optimizer": "adamw",
"logLevel": "info",
"logEvery": 1,
"trace": false,
"gradAccumSteps": 1,
"sampleInterval": 99999,
"spikeThreshold": 10000,
"syncEvery": 1,
"gcEvery": 1,
"packed": true,
"symbio": false,
"symbioConfig": null
}