Grouped4 Training
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-05-02.)
Grouped4 Training has 101 facts recorded in Dontopedia across 1 reference.
Mostly:exhibits loss improvement over iterations(1), has average tokens per second(1), has elapsed time seconds(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (1)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
reportsTrainingMetricsReports Training Metrics(1)
- Grouped4 Training Log
ex:grouped4-training-log
Other facts (101)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Exhibits Loss Improvement Over Iterations | true | [1] |
| Has Average Tokens Per Second | 15003 | [1] |
| Has Elapsed Time Seconds | 54.6 | [1] |
| Has Embedding Dimension | 768 | [1] |
| Has Final Gpu Active Gb | 1.01 | [1] |
| Has Final Gpu Cache Gb | 12.49 | [1] |
| Has Final Gpu Peak Gb | 12.52 | [1] |
| Has Final Loss | 3.1058 | [1] |
| Has Final Process Rss Gb | 3.19 | [1] |
| Has Gpu Active Gb at Iteration10 | 1 | [1] |
| Has Gpu Active Gb at Iteration100 | 1 | [1] |
| Has Gpu Active Gb at Iteration20 | 1 | [1] |
| Has Gpu Active Gb at Iteration30 | 1 | [1] |
| Has Gpu Active Gb at Iteration40 | 1 | [1] |
| Has Gpu Active Gb at Iteration50 | 1 | [1] |
| Has Gpu Active Gb at Iteration60 | 1 | [1] |
| Has Gpu Active Gb at Iteration70 | 1 | [1] |
| Has Gpu Active Gb at Iteration80 | 1 | [1] |
| Has Gpu Active Gb at Iteration90 | 1 | [1] |
| Has Gpu Cache Gb at Iteration10 | 12.5 | [1] |
| Has Gpu Cache Gb at Iteration100 | 12.5 | [1] |
| Has Gpu Cache Gb at Iteration20 | 12.5 | [1] |
| Has Gpu Cache Gb at Iteration30 | 12.5 | [1] |
| Has Gpu Cache Gb at Iteration40 | 12.5 | [1] |
| Has Gpu Cache Gb at Iteration50 | 12.5 | [1] |
| Has Gpu Cache Gb at Iteration60 | 12.5 | [1] |
| Has Gpu Cache Gb at Iteration70 | 12.5 | [1] |
| Has Gpu Cache Gb at Iteration80 | 12.5 | [1] |
| Has Gpu Cache Gb at Iteration90 | 12.5 | [1] |
| Has Gpu Peak Gb at Iteration10 | 12.5 | [1] |
| Has Gpu Peak Gb at Iteration100 | 12.5 | [1] |
| Has Gpu Peak Gb at Iteration20 | 12.5 | [1] |
| Has Gpu Peak Gb at Iteration30 | 12.5 | [1] |
| Has Gpu Peak Gb at Iteration40 | 12.5 | [1] |
| Has Gpu Peak Gb at Iteration50 | 12.5 | [1] |
| Has Gpu Peak Gb at Iteration60 | 12.5 | [1] |
| Has Gpu Peak Gb at Iteration70 | 12.5 | [1] |
| Has Gpu Peak Gb at Iteration80 | 12.5 | [1] |
| Has Gpu Peak Gb at Iteration90 | 12.5 | [1] |
| Has Higher Average Tokens Per Second Than | Grouped8 Training | [1] |
| Has Learning Rate at Iteration10 | 0.0003 | [1] |
| Has Learning Rate at Iteration100 | 0.00003 | [1] |
| Has Learning Rate at Iteration20 | 0.000292 | [1] |
| Has Learning Rate at Iteration30 | 0.000268 | [1] |
| Has Learning Rate at Iteration40 | 0.000232 | [1] |
| Has Learning Rate at Iteration50 | 0.000188 | [1] |
| Has Learning Rate at Iteration60 | 0.000142 | [1] |
| Has Learning Rate at Iteration70 | 0.0000975 | [1] |
| Has Learning Rate at Iteration80 | 0.0000616 | [1] |
| Has Learning Rate at Iteration90 | 0.0000381 | [1] |
| Has Loss at Iteration10 | 4.8802 | [1] |
| Has Loss at Iteration100 | 3.1058 | [1] |
| Has Loss at Iteration20 | 3.3704 | [1] |
| Has Loss at Iteration30 | 3.175 | [1] |
| Has Loss at Iteration40 | 3.184 | [1] |
| Has Loss at Iteration50 | 3.1859 | [1] |
| Has Loss at Iteration60 | 3.1927 | [1] |
| Has Loss at Iteration70 | 3.179 | [1] |
| Has Loss at Iteration80 | 3.1503 | [1] |
| Has Loss at Iteration90 | 3.1571 | [1] |
| Has Lower Final Loss Than | Grouped8 Training | [1] |
| Has Lower Peak Gpu Memory Than | Grouped8 Training | [1] |
| Has Num Attention Heads | 12 | [1] |
| Has Num Layers | 12 | [1] |
| Has Process Memory Gb at Iteration10 | 3.2 | [1] |
| Has Process Memory Gb at Iteration100 | 3.2 | [1] |
| Has Process Memory Gb at Iteration20 | 3.2 | [1] |
| Has Process Memory Gb at Iteration30 | 3.2 | [1] |
| Has Process Memory Gb at Iteration40 | 3.2 | [1] |
| Has Process Memory Gb at Iteration50 | 3.2 | [1] |
| Has Process Memory Gb at Iteration60 | 3.2 | [1] |
| Has Process Memory Gb at Iteration70 | 3.2 | [1] |
| Has Process Memory Gb at Iteration80 | 3.2 | [1] |
| Has Process Memory Gb at Iteration90 | 3.2 | [1] |
| Has Sequence Length | 2048 | [1] |
| Has Shorter Elapsed Time Than | Grouped8 Training | [1] |
| Has Superior Final Loss | Grouped8 Training | [1] |
| Has Tokens Per Second at Iteration10 | 15019 | [1] |
| Has Tokens Per Second at Iteration100 | 15067 | [1] |
| Has Tokens Per Second at Iteration20 | 15176 | [1] |
| Has Tokens Per Second at Iteration30 | 15222 | [1] |
| Has Tokens Per Second at Iteration40 | 15180 | [1] |
| Has Tokens Per Second at Iteration50 | 15128 | [1] |
| Has Tokens Per Second at Iteration60 | 15094 | [1] |
| Has Tokens Per Second at Iteration70 | 15065 | [1] |
| Has Tokens Per Second at Iteration80 | 15067 | [1] |
| Has Tokens Per Second at Iteration90 | 15098 | [1] |
| Has Total Iterations | 100 | [1] |
| Has Total Parameters | 86825760 | [1] |
| Has Total Tokens Processed | 819200 | [1] |
| Has Training Status | complete | [1] |
| Implies Batch Size | 4 | [1] |
| Learning Rate Decreases Monotonically | Lr Schedule | [1] |
| Loaded Num Sequences | 5000 | [1] |
| Loaded Sequence Length | 2048 | [1] |
| Maintains Constant Gpu Active Memory | 1 | [1] |
| Maintains Constant Process Memory | 3.2 | [1] |
| Presupposes Gpu Acceleration | true | [1] |
| Presupposes No Errors Occurred | true | [1] |
| Trains Model | Harmonic Gpt | [1] |
Timeline
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References (1)
ctx:discord/blah/watt-activation/part-113
See also
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