Training Progress

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

Training Progress has 45 facts recorded in Dontopedia across 28 references, with 4 live disagreements.

45 facts·39 predicates·28 sources·4 in dispute

Mostly:rdf:type(3), shows decreasing loss(2), monitored by(2)

Inbound mentions (24)

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.

`tracks`Tracks(2)

Loggingex:logging
Performance Monitoringex:performance-monitoring

`checked`Checked(1)

Xenonfunex:xenonfun

`condition`Condition(1)

Dyn H4 Predictionex:dyn-h4-prediction

`containsStatusUpdate`Contains Status Update(1)

Log Entry 2026 04 21 2236ex:log-entry-2026-04-21-2236

`decreasesOverTime`Decreases Over Time(1)

Bpb Metricex:bpb-metric

`expressedAdmiration`Expressed Admiration(1)

Foxhopex:foxhop

`hasIncreasingClustersOverTime`Has Increasing Clusters Over Time(1)

Pairwise L1024ex:pairwise-l1024

`increasesOverTime`Increases Over Time(1)

C Metricex:c-metric

`indicates`Indicates(1)

Lossex:loss

`isDesirable`Is Desirable(1)

Lower Bpbex:lower-bpb

`isReporting`Is Reporting(1)

Xenonfunex:xenonfun

`performsStatusUpdate`Performs Status Update(1)

Message 2026 02 26 21 39ex:message-2026-02-26-21-39

`provideEvidenceFor`Provide Evidence for(1)

Metricsex:metrics

`providesEvidence`Provides Evidence(1)

Training Logex:training-log

`providesUpdate`Provides Update(1)

Rolandnsharp7643 Status Updateex:rolandnsharp7643-status-update

`provideVisualEvidence`Provide Visual Evidence(1)

Screenshotsex:screenshots

`servesAsEvidence`Serves As Evidence(1)

Attachmentsex:attachments

`sharesUpdate`Shares Update(1)

Xenonfunex:xenonfun

`showsDecreasingAvgLoss`Shows Decreasing Avg Loss(1)

Pairwise L1024ex:pairwise-l1024

`showsDecreasingPPL`Shows Decreasing Ppl(1)

Pairwise L1024ex:pairwise-l1024

`visualize`Visualize(1)

Attachmentsex:attachments

`visualizes`Visualizes(1)

Tensorboard Loggingex:tensorboard-logging

`watchesSpace`Watches Space(1)

Foxhopex:foxhop

Other facts (43)

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.

43 facts

Predicate	Value	Ref
Rdf:type	Process	[23]
Rdf:type	Concept	[26]
Rdf:type	Metric	[27]
Shows Decreasing Loss	Logs	[6]
Shows Decreasing Loss	{}	[7]
Monitored by	Observe Training Behavior	[25]
Monitored by	Enhanced Logging	[27]
Nearing Completion	15 min	[1]
Receives Positive Evaluation	Xenonfun	[2]
Iterations Per Second	68	[3]
Total Steps	50000	[3]
Current Step	24500	[3]
Estimated Time Remaining	6 minutes	[3]
Percentage Complete	49	[3]
Shows Ppl Improvement Over Time	null	[4]
Approaches Epoch Boundary	Epoch 1	[5]
At Iteration	23500	[5]
Shows Decreasing Ppl	{}	[7]
Decreases Lr	null	[8]
Approaches Original Checkpoint	1 Epoch Checkpoint	[9]
Shows Improvement in	Loss and Ppl	[10]
Preferred by	Xenonfun	[11]
Temporal Sequence	Step 13500 to 14300	[12]
Caused	Gpu Free State	[13]
Sequential From Step10775 To12432	true	[14]
Faster Than Estimate	30-40 min	[15]
Elapsed Time Minutes	1.7	[15]
Reached Steps	3600	[15]
Projected Total Time Minutes	10	[15]
Pre Lift Off	true	[16]
Is Slowly Improving	Ongoing	[17]
Receives Enthusiasm	Lisamegawatts	[18]
Shows Stable Tok Per S	null	[19]
Shows Decreasing Loss Trend	null	[19]
Shows Decreasing Bpb Trend	null	[19]
Shows Decreasing Bpb Over Steps	E23 Training Steps 1 to 750	[20]
Shows Worsening Momentarily	Current Training	[21]
Improves With Steps	More Training	[22]
Has Characteristic	Self Regulating Dynamics	[23]
Has Current Step	8000	[24]
Has Total Steps	20000	[24]
Current Status	showing progress	[28]
Expected Outcome	dogs back to normal	[28]

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.

45 undated

—

nearingCompletionblah/random/part-38

15 min

—

receivesPositiveEvaluationblah/watt-activation/part-13

ex:xenonfun

—

iterationsPerSecondblah/watt-activation/part-34

—

totalStepsblah/watt-activation/part-34

50000

—

currentStepblah/watt-activation/part-34

24500

—

estimatedTimeRemainingblah/watt-activation/part-34

6 minutes

—

percentageCompleteblah/watt-activation/part-34

—

showsPplImprovementOverTimeblah/watt-activation/part-49

null

—

approachesEpochBoundaryblah/watt-activation/part-94

ex:epoch-1

—

atIterationblah/watt-activation/part-94

23500

—

showsDecreasingLossblah/watt-activation/part-97

ex:logs

—

showsDecreasingLossblah/watt-activation/part-125

{}

—

showsDecreasingPplblah/watt-activation/part-125

{}

—

decreasesLrblah/watt-activation/part-136

null

—

approachesOriginalCheckpointblah/watt-activation/part-149

ex:1-epoch-checkpoint

—

showsImprovementInblah/watt-activation/part-166

ex:loss-and-ppl

—

preferredByblah/watt-activation/part-164

ex:xenonfun

—

temporalSequenceblah/watt-activation/part-160

ex:step-13500-to-14300

—

causedblah/watt-activation/part-161

ex:gpu-free-state

—

sequentialFromStep10775To12432blah/watt-activation/part-239

true

—

fasterThanEstimateblah/watt-activation/part-252

30-40 min

—

elapsedTimeMinutesblah/watt-activation/part-252

1.7

—

reachedStepsblah/watt-activation/part-252

3600

—

projectedTotalTimeMinutesblah/watt-activation/part-252

—

preLiftOffblah/watt-activation/part-373

true

—

isSlowlyImprovingblah/watt-activation/part-397

ex:ongoing

—

receivesEnthusiasmblah/watt-activation/part-623

ex:lisamegawatts

—

showsStableTokPerSblah/watt-activation/part-658

null

—

showsDecreasingLossTrendblah/watt-activation/part-658

null

—

showsDecreasingBpbTrendblah/watt-activation/part-658

null

—

showsDecreasingBpbOverStepsblah/watt-activation/part-700

ex:e23-training-steps-1-to-750

—

showsWorseningMomentarilyblah/watt-activation/part-37

ex:current-training

—

improvesWithStepsblah/watt-activation/part-420

ex:more-training

—

typeblah/watt-activation/423

ex:Process

—

labelblah/watt-activation/423

training progresses

—

hasCharacteristicblah/watt-activation/423

ex:self-regulating-dynamics

—

hasCurrentStepblah/watt-activation/672

8000

—

hasTotalStepsblah/watt-activation/672

20000

—

monitoredBybeam/23b6c81e-dd8a-4859-9fb1-ea176678dd6e

ex:observe-training-behavior

—

typebeam/9e82a15f-2791-47c6-8352-613dedf7b166

ex:Concept

—

labelbeam/9e82a15f-2791-47c6-8352-613dedf7b166

Training Progress

—

typebeam/80cee563-b1d9-4259-9433-7451bfacb74d

ex:Metric

—

monitoredBybeam/80cee563-b1d9-4259-9433-7451bfacb74d

ex:enhanced-logging

—

currentStatuslocomo/e0522a3b-43f8-4638-839a-7b07d3d2668e

showing progress

—

expectedOutcomelocomo/e0522a3b-43f8-4638-839a-7b07d3d2668e

dogs back to normal

References (28)

28 references

[1]Part 381 fact
ctx:discord/blah/random/part-38
[2]Part 131 fact
ctx:discord/blah/watt-activation/part-13
[3]Part 345 facts
ctx:discord/blah/watt-activation/part-34
[4]Part 491 fact
ctx:discord/blah/watt-activation/part-49
[5]Part 942 facts
ctx:discord/blah/watt-activation/part-94
[6]Part 971 fact
ctx:discord/blah/watt-activation/part-97
[7]Part 1252 facts
ctx:discord/blah/watt-activation/part-125
[8]Part 1361 fact
ctx:discord/blah/watt-activation/part-136
[9]Part 1491 fact
ctx:discord/blah/watt-activation/part-149
[10]Part 1661 fact
ctx:discord/blah/watt-activation/part-166
[11]Part 1641 fact
ctx:discord/blah/watt-activation/part-164
[12]Part 1601 fact
ctx:discord/blah/watt-activation/part-160
[13]Part 1611 fact
ctx:discord/blah/watt-activation/part-161
[14]Part 2391 fact
ctx:discord/blah/watt-activation/part-239
[15]Part 2524 facts
ctx:discord/blah/watt-activation/part-252
[16]Part 3731 fact
ctx:discord/blah/watt-activation/part-373
[17]Part 3971 fact
ctx:discord/blah/watt-activation/part-397
[18]Part 6231 fact
ctx:discord/blah/watt-activation/part-623
[19]Part 6583 facts
ctx:discord/blah/watt-activation/part-658
[20]Part 7001 fact
ctx:discord/blah/watt-activation/part-700
[21]Part 371 fact
ctx:discord/blah/watt-activation/part-37
[22]Part 4201 fact
ctx:discord/blah/watt-activation/part-420
[23]4233 facts
ctx:discord/blah/watt-activation/423
- full textwatt-activation-423
  text/plain2 KBdoc:agent/watt-activation-423/8045fe79-be14-40ef-8627-1f24b38b2ba2
  Show excerpt
  [2026-03-20 01:28] xenonfun: ``` ⏺ OK, so for H≠4 it dispatches to _spectral_lohe_sync in attention.py (line 162), and for H=4 it uses quaternion_lohe_sync. Our entity run uses H=2, so it wouldn't even hit the Lohe FFN path — ResonantWir…
[24]6722 facts
ctx:discord/blah/watt-activation/672
- full textwatt-activation-672
  text/plain2 KBdoc:agent/watt-activation-672/8c2cff9d-fbc0-4f66-bd2a-2d55f8c4b4a1
  Show excerpt
  [2026-04-21 22:35] xenonfun: ```bash ./target/release/wave_unified_train --load-ckpt data/runs/wu_unified_12m/step_8000/model.json --prompt "The universial" --generate 200 --gen-temp 0.0 --seq-len 512 [metal_backend] GPU context in…
[25]23b6c81e Dd8a 4859 9fb1 Ea176678dd6e1 fact
ctx:claims/beam/23b6c81e-dd8a-4859-9fb1-ea176678dd6e
- full textbeam-chunk
  text/plain1 KBdoc:beam/23b6c81e-dd8a-4859-9fb1-ea176678dd6e
  Show excerpt
  [Turn 9473] Assistant: Choosing the right learning rate is crucial for the performance and stability of your model training. For the Adam optimizer, a common starting point is a learning rate in the range of \(0.001\) to \(0.0001\). Here ar…
[26]9e82a15f 2791 47c6 8352 613dedf7b1662 facts
ctx:claims/beam/9e82a15f-2791-47c6-8352-613dedf7b166
- full textbeam-chunk
  text/plain1 KBdoc:beam/9e82a15f-2791-47c6-8352-613dedf7b166
  Show excerpt
  - **Mixed Precision Training**: Use mixed precision training (e.g., `torch.cuda.amp`) to further improve performance. Would you like to explore any specific aspect further, such as mixed precision training or gradient accumulation? [Turn …
[27]80cee563 B1d9 4259 9433 7451bfacb74d2 facts
ctx:claims/beam/80cee563-b1d9-4259-9433-7451bfacb74d
- full textbeam-chunk
  text/plain1 KBdoc:beam/80cee563-b1d9-4259-9433-7451bfacb74d
  Show excerpt
  - Move the model to the GPU for faster computation. 2. **Optimal Batch Size**: - Determine the optimal batch size based on the available VRAM. 3. **Enhanced Logging**: - Track the training progress more closely by logging loss va…
[28]E0522a3b 43f8 4638 839a 7b07d3d2668e2 facts
ctx:claims/locomo/e0522a3b-43f8-4638-839a-7b07d3d2668e
- full textbeam-chunk
  text/plain5 KBdoc:beam/e0522a3b-43f8-4638-839a-7b07d3d2668e
  Show excerpt
  [Session date: 2:36 pm on 28 October, 2023] Audrey: Hey Andrew, I wanted to let you know about something going on with my dogs. I noticed they weren't acting normally, so I made an appointment with an animal behaviorist last Wed. It's been …

Keep researching

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Training Progress

Inbound mentions (24)

tracksTracks(2)

checkedChecked(1)

conditionCondition(1)

containsStatusUpdateContains Status Update(1)

decreasesOverTimeDecreases Over Time(1)

expressedAdmirationExpressed Admiration(1)

hasIncreasingClustersOverTimeHas Increasing Clusters Over Time(1)

increasesOverTimeIncreases Over Time(1)

indicatesIndicates(1)

isDesirableIs Desirable(1)

isReportingIs Reporting(1)

performsStatusUpdatePerforms Status Update(1)

provideEvidenceForProvide Evidence for(1)

providesEvidenceProvides Evidence(1)

providesUpdateProvides Update(1)

provideVisualEvidenceProvide Visual Evidence(1)

servesAsEvidenceServes As Evidence(1)

sharesUpdateShares Update(1)

showsDecreasingAvgLossShows Decreasing Avg Loss(1)

showsDecreasingPPLShows Decreasing Ppl(1)

visualizeVisualize(1)

visualizesVisualizes(1)

watchesSpaceWatches Space(1)

Other facts (43)

Timeline

References (28)

See also

Keep researching

`tracks`Tracks(2)

`checked`Checked(1)

`condition`Condition(1)

`containsStatusUpdate`Contains Status Update(1)

`decreasesOverTime`Decreases Over Time(1)

`expressedAdmiration`Expressed Admiration(1)

`hasIncreasingClustersOverTime`Has Increasing Clusters Over Time(1)

`increasesOverTime`Increases Over Time(1)

`indicates`Indicates(1)

`isDesirable`Is Desirable(1)

`isReporting`Is Reporting(1)

`performsStatusUpdate`Performs Status Update(1)

`provideEvidenceFor`Provide Evidence for(1)

`providesEvidence`Provides Evidence(1)

`providesUpdate`Provides Update(1)

`provideVisualEvidence`Provide Visual Evidence(1)

`servesAsEvidence`Serves As Evidence(1)

`sharesUpdate`Shares Update(1)

`showsDecreasingAvgLoss`Shows Decreasing Avg Loss(1)

`showsDecreasingPPL`Shows Decreasing Ppl(1)

`visualize`Visualize(1)

`visualizes`Visualizes(1)

`watchesSpace`Watches Space(1)