historic_chat_v2_20260304155701_mwtrstaleunknown6.81M params1m 38s elapsed · Updated 40d ago
6L / 256D / 8H · helios · bpe · adamw· Created Mar 4, 2026 3:57 PM
Step 1,178 / 8,00014.7%
7.5395
Loss?
7.3061
Best Loss?
-9.9% from start
-
Val Loss?
4.83e-5
Learning Rate?
5,823
Throughput?
tok/s (avg)
89
Speed?
ms/iter (avg)
0.497
Grad Norm?
avg: 0.528
603.1K
Tokens
processed
Loss Curve ? click any chart to add markers
?
?
?
?
Architecture
Layers?6
Embedding?256
Heads?8
Vocab?4,000
Context?128
Dropout?0
Parameters?6.81M
Training Config
Total iters?8,000
Batch size?4
Max LR?0.00005
Optimizer?adamw
Backend?helios
Tokenizer?bpe
Seed?42
Weight decay?0.1
Grad clip?1
Eval interval?1000000
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
Transformer Layer Analysis
Gradient Norm Heatmap
Per-Layer Gradient Evolution
Checkpoints (0) ?
No checkpoints saved
Model Config (JSON)
{
"vocabSize": 4000,
"blockSize": 128,
"nLayer": 6,
"nEmbd": 256,
"nHead": 8,
"dropout": 0,
"ffnActivation": "gelu"
}Training Config (JSON)
{
"iters": 8000,
"batchSize": 4,
"lr": 0.00005,
"lrMin": 0.000005,
"warmupIters": 200,
"beta1": 0.9,
"beta2": 0.95,
"eps": 1e-8,
"weightDecay": 0.1,
"gradClip": 1,
"evalInterval": 1000000,
"evalIters": 10,
"seed": 42,
"backend": "helios",
"tokenizer": "bpe",
"optimizer": "adamw",
"logLevel": "info",
"logEvery": 25,
"trace": false,
"gradAccumSteps": 1,
"sampleInterval": 0,
"spikeThreshold": 0,
"syncEvery": 1,
"gcEvery": 1,
"packed": false,
"symbio": false,
"symbioConfig": null
}