Iteration 10
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Iteration 10 has 41 facts recorded in Dontopedia across 4 references, with 7 live disagreements.
41 facts·29 predicates·4 sources·7 in dispute
Mostly:iteration number(3), has learning rate(2), part of run(2)
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.
consistsOfConsists of(1)
- Training Run Linear Seq2048
ex:training-run-linear-seq2048
Other facts (41)
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.
41 facts
| Predicate | Value | Ref |
|---|---|---|
| Iteration Number | 10 | [2] |
| Iteration Number | 10 | [3] |
| Iteration Number | 10 | [4] |
| Has Learning Rate | 0.0003 | [1] |
| Has Learning Rate | 0.0003 | [4] |
| Part of Run | Resonance Run | [2] |
| Part of Run | Training Run Grouped1 | [4] |
| Loss Value | nan | [2] |
| Loss Value | 5.2281 | [3] |
| Learning Rate | 0.0003 | [2] |
| Learning Rate | 0.0003 | [3] |
| Tokens Per Second | 11420 | [2] |
| Tokens Per Second | 6660 | [3] |
| Gpu Memory Usage | 0.9 | [2] |
| Gpu Memory Usage | 1 | [4] |
| Gpu Memory Peak | 16.8 | [2] |
| Gpu Memory Peak | 12 | [4] |
| Gpu Cache Memory | 17.3 | [2] |
| Gpu Cache Memory | 11.8 | [4] |
| Process Memory Usage | 3.2 | [2] |
| Process Memory Usage | 3.2 | [4] |
| Rdf:type | Iteration | [3] |
| Rdf:type | Iteration | [4] |
| Belongs to | Training Run Linear Seq2048 | [1] |
| Has Gpu Cache Memory | 34.8GB | [1] |
| Has Gpu Memory | 1.0GB | [1] |
| Has Gpu Peak Memory | 34.3GB | [1] |
| Has Higher Loss Than | Iteration 100 | [1] |
| Has Iteration Number | 10 | [1] |
| Has Loss | 5.2281 | [1] |
| Has Process Memory | 3.2GB | [1] |
| Has Tokens Per Second | 6660 | [1] |
| Has Total Iterations | 100 | [1] |
| Temporally Precedes | Iteration 20 | [1] |
| Part of Training Run | Training Run 1 | [3] |
| Gpu Memory Usage Gb | 1 | [3] |
| Gpu Memory Peak Gb | 34.3 | [3] |
| Gpu Cache Gb | 34.8 | [3] |
| Process Memory Gb | 3.2 | [3] |
| Has Loss Value | 5.4746 | [4] |
| Has Token Throughput | 17292 | [4] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
—
belongsToblah/watt-activation/part-114
ex:training-run-linear-seq2048
—
hasGpuCacheMemoryblah/watt-activation/part-114
34.8GB
—
hasGpuMemoryblah/watt-activation/part-114
1.0GB
—
hasGpuPeakMemoryblah/watt-activation/part-114
34.3GB
—
hasHigherLossThanblah/watt-activation/part-114
ex:iteration-100
—
hasIterationNumberblah/watt-activation/part-114
10
—
hasLearningRateblah/watt-activation/part-114
0.0003
—
hasLossblah/watt-activation/part-114
5.2281
—
hasProcessMemoryblah/watt-activation/part-114
3.2GB
—
hasTokensPerSecondblah/watt-activation/part-114
6660
—
hasTotalIterationsblah/watt-activation/part-114
100
—
temporallyPrecedesblah/watt-activation/part-114
ex:iteration-20
—
iterationNumberblah/watt-activation/111
10
—
partOfRunblah/watt-activation/111
ex:resonance-run
—
lossValueblah/watt-activation/111
nan
—
learningRateblah/watt-activation/111
0.0003
—
tokensPerSecondblah/watt-activation/111
11420
—
gpuMemoryUsageblah/watt-activation/111
0.9
—
gpuMemoryPeakblah/watt-activation/111
16.8
—
gpuCacheMemoryblah/watt-activation/111
17.3
—
processMemoryUsageblah/watt-activation/111
3.2
—
typeblah/watt-activation/114
ex:Iteration
—
iterationNumberblah/watt-activation/114
10
—
partOfTrainingRunblah/watt-activation/114
ex:training-run-1
—
lossValueblah/watt-activation/114
5.2281
—
learningRateblah/watt-activation/114
0.0003
—
tokensPerSecondblah/watt-activation/114
6660
—
gpuMemoryUsageGBblah/watt-activation/114
1
—
gpuMemoryPeakGBblah/watt-activation/114
34.3
—
gpuCacheGBblah/watt-activation/114
34.8
—
processMemoryGBblah/watt-activation/114
3.2
—
typeblah/watt-activation/115
ex:Iteration
—
iterationNumberblah/watt-activation/115
10
—
partOfRunblah/watt-activation/115
ex:training-run-grouped1
—
hasLossValueblah/watt-activation/115
5.4746
—
hasLearningRateblah/watt-activation/115
0.0003
—
hasTokenThroughputblah/watt-activation/115
17292
—
gpuMemoryUsageblah/watt-activation/115
1
—
gpuMemoryPeakblah/watt-activation/115
12
—
gpuCacheMemoryblah/watt-activation/115
11.8
—
processMemoryUsageblah/watt-activation/115
3.2
References (4)
4 references
ctx:discord/blah/watt-activation/part-114ctx:discord/blah/watt-activation/111ctx:discord/blah/watt-activation/114- full textwatt-activation-114text/plain2 KB
doc:agent/watt-activation-114/bc8b5ab5-bbc4-4aea-ac89-9211a96127c3Show excerpt
[2026-03-08 22:42] xenonfun: Now add val evaluation in the training loop, after the checkpoint save block [2026-03-08 22:44] xenonfun: ``` === linear (seq=2048) === Training HarmonicGPT | attn=linear d=768 L=12 H=12 seq=2048 Parameters: 86,…
ctx:discord/blah/watt-activation/115- full textwatt-activation-115text/plain3 KB
doc:agent/watt-activation-115/105443fa-23c3-42fc-a3a6-065e0c10a484Show excerpt
[2026-03-08 22:44] xenonfun: ``` === grouped1 (seq=2048) === Training HarmonicGPT | attn=grouped1 d=768 L=12 H=12 seq=2048 Parameters: 86,825,760 Loaded 5,000 train sequences of length 2048 iter 10/100 | loss 5.4746 | lr 3.00e-04 | tok/…
See also
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