fine_corpus_large_v6stalefine_corpus20.51M params27m 54s elapsed · Updated 36d ago
8L / 384D / 6H · helios · bpe-8k · adamw· Created Mar 8, 2026 10:46 AM
Step 6,020 / 78,0007.7%
6.3719
Loss?
5.9536
Best Loss?
-29.7% from start
7.0327
Val Loss?
best: 6.7387
2.97e-4
Learning Rate?
7,271
Throughput?
tok/s (avg)
286
Speed?
ms/iter (avg)
68.315
Grad Norm?
avg: 192.059
12.33M
Tokens
processed
Loss Curve ? click any chart to add markers
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?
?
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Architecture
Layers?8
Embedding?384
Heads?6
Vocab?8,000
Context?512
Dropout?0
Parameters?20.51M
Training Config
Total iters?78,000
Batch size?4
Max LR?0.0003
Optimizer?adamw
Backend?helios
Tokenizer?bpe-8k
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
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
Sample Generations (1)
#CheckpointPrompt (preview)Generated
1-The 36d ago
Prompt
The
Output
The wt>"School District
(b. 19et:"emt""",
Model Config (JSON)
{
"vocabSize": 8000,
"blockSize": 512,
"nLayer": 8,
"nEmbd": 384,
"nHead": 6,
"dropout": 0,
"ffnActivation": "gelu"
}Training Config (JSON)
{
"iters": 78000,
"batchSize": 4,
"lr": 0.0003,
"lrMin": 0.00003,
"warmupIters": 1000,
"beta1": 0.9,
"beta2": 0.999,
"eps": 1e-8,
"weightDecay": 0.1,
"gradClip": 1,
"evalInterval": 500,
"evalIters": 10,
"seed": 42,
"backend": "helios",
"tokenizer": "bpe-8k",
"optimizer": "adamw",
"logLevel": "info",
"logEvery": 25,
"trace": false,
"gradAccumSteps": 1,
"sampleInterval": 2000,
"spikeThreshold": 0,
"syncEvery": 1,
"gcEvery": 1,
"packed": true,
"symbio": false,
"symbioConfig": null
}