super_chat_20260306151707_utoostalenanochat55.77M params7m 58s elapsed · Updated 38d ago
16L / 512D / 8H · helios · bpe-chat-4k · adamw· Created Mar 6, 2026 3:19 PM
Step 242 / 20,0001.2%
6.5955
Loss?
6.4519
Best Loss?
-21.5% from start
-
Val Loss?
1.57e-5
Learning Rate?
847
Throughput?
tok/s (avg)
2,437
Speed?
ms/iter (avg)
62355.635
Grad Norm?
avg: 63950.449
481.3K
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?20,000
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?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": 16,
"nEmbd": 512,
"nHead": 8,
"dropout": 0,
"ffnActivation": "swiglu"
}Training Config (JSON)
{
"iters": 20000,
"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": 500,
"evalIters": 10,
"seed": 42,
"backend": "helios",
"tokenizer": "bpe-chat-4k",
"optimizer": "adamw",
"logLevel": "info",
"logEvery": 1,
"trace": false,
"gradAccumSteps": 1,
"sampleInterval": 1000,
"spikeThreshold": 10000,
"syncEvery": 1,
"gcEvery": 1,
"packed": true,
"symbio": false,
"symbioConfig": null
}