historic_chat_v2_20260309194609_fpnrstaleconcordance-chat34.16M params24s elapsed · Updated 35d ago
8L / 512D / 8H · helios · bpe-8k-chat · adamw· Created Mar 9, 2026 7:46 PM
Step 17,010 / 22,50075.6%
2.0149
Loss?
1.9674
Best Loss?
-2.4% from start
-
Val Loss?
1.13e-5
Learning Rate?
6,738
Throughput?
tok/s (avg)
2,460
Speed?
ms/iter (avg)
0.150
Grad Norm?
avg: 0.153
163.8K
Tokens
processed
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?8
Embedding?512
Heads?8
Vocab?8,000
Context?512
Dropout?0
Parameters?34.16M
Training Config
Total iters?22,500
Batch size?16
Max LR?0.00005
Optimizer?adamw
Backend?helios
Tokenizer?bpe-8k-chat
Seed?42
Weight decay?0.01
Grad clip?1
Eval interval?200
Throughput (tok/s)
Step Time (ms/iter)
GPU & VRAM
No GPU data
Perplexity
Train/Val Gap
No validation data
Learning Rate
Grad Norm
Smoothed Loss (EMA)
Loss Velocity
Insufficient data
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": 8000,
"blockSize": 512,
"nLayer": 8,
"nEmbd": 512,
"nHead": 8,
"dropout": 0,
"ffnActivation": "swiglu"
}Training Config (JSON)
{
"iters": 22500,
"batchSize": 16,
"lr": 0.00005,
"lrMin": 0.000005,
"warmupIters": 50,
"beta1": 0.9,
"beta2": 0.999,
"eps": 1e-8,
"weightDecay": 0.01,
"gradClip": 1,
"evalInterval": 200,
"evalIters": 10,
"seed": 42,
"backend": "helios",
"tokenizer": "bpe-8k-chat",
"optimizer": "adamw",
"logLevel": "info",
"logEvery": 25,
"trace": false,
"gradAccumSteps": 2,
"sampleInterval": 200,
"spikeThreshold": 5000,
"embGradScale": 1,
"syncEvery": 0,
"gcEvery": 0,
"packed": true,
"symbio": false,
"symbioConfig": null
}