soda_chat_20260306105222_j14kstalenanochat55.77M params19m 56s elapsed · Updated 38d ago
16L / 512D / 8H · helios · bpe-chat-4k · adamw· Created Mar 6, 2026 10:52 AM
Step 466 / 20,0002.3%
6.9269
Loss?
6.8060
Best Loss?
-17.6% from start
-
Val Loss?
9.39e-5
Learning Rate?
1,392
Throughput?
tok/s (avg)
3,030
Speed?
ms/iter (avg)
27384.006
Grad Norm?
avg: 43603437.680
1.91M
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?2
Max LR?0.0001
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": 2,
"lr": 0.0001,
"lrMin": 0.00001,
"warmupIters": 500,
"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": 1,
"trace": false,
"gradAccumSteps": 4,
"sampleInterval": 2000,
"spikeThreshold": 0,
"syncEvery": 1,
"gcEvery": 1,
"packed": true,
"symbio": false,
"symbioConfig": null
}