Training Session
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-17.)
Training Session has 78 facts recorded in Dontopedia across 14 references, with 5 live disagreements.
Mostly:uses dataset(3), has ppl(2), has total steps(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (10)
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.
announcesProgressAnnounces Progress(1)
- Xenonfun
ex:xenonfun
announcesTrainingFinishedAnnounces Training Finished(1)
- Message 2026 03 09 18 39 Training Finished
ex:message-2026-03-09-18-39-training-finished
exhibitsHighPerplexityExhibits High Perplexity(1)
- Garble Response 1
ex:garble-response-1
isModelNameIs Model Name(1)
- Akan Gpt2 50k
ex:akan-gpt2-50k
marksEndOfMarks End of(1)
- Log Entry 5
ex:log-entry-5
measuredPowerOfMeasured Power of(1)
- Device Ups Unit
ex:device-ups-unit
measuresModelPerformanceMeasures Model Performance(1)
- Ppl
ex:ppl
measuresModelQualityMeasures Model Quality(1)
- Ppl Metric
ex:ppl-metric
partOfPart of(1)
- Training Step 16600
ex:training-step-16600
subEventOfSub Event of(1)
- Log Entry 2
ex:log-entry-2
Other facts (78)
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 |
|---|---|---|
| Uses Dataset | fineweb_e2 | [9] |
| Uses Dataset | Fine Web | [12] |
| Uses Dataset | Tiny Stories | [12] |
| Has Ppl | 348.2 | [9] |
| Has Ppl | 83.4 | [10] |
| Has Total Steps | 16684 | [9] |
| Has Total Steps | 10432 | [10] |
| Involves Device | Device M3 | [11] |
| Involves Device | Device Amd 3060 | [11] |
| Rdf:type | Educational Activity | [13] |
| Rdf:type | Training Plan | [14] |
| Follows | Experiment 16 | [1] |
| Has Val Loss | 4.5415 | [1] |
| Has Vocab Size | 2048 | [1] |
| Indicates Poor Performance | true | [1] |
| Loaded Epoch | 16 | [1] |
| Targets Total Iterations | 50000 | [2] |
| Uses Mlx Framework | null | [2] |
| Trains Language Model | null | [2] |
| Got Killed at Iteration | 8700 | [3] |
| Active Memory Mb | 2449 | [4] |
| Peak Memory Mb | 24057 | [4] |
| Final Ppl | 78.1 | [4] |
| Throughput Tokens Per Second | 7400 | [4] |
| Throughput Iterations Per Second | 1.8 | [4] |
| Best Loss | 3.6875 | [4] |
| Duration Minutes | 232 | [4] |
| Duration Seconds | 13919 | [4] |
| Final Average Loss | 4.3577 | [4] |
| Trains Model | Akan Gpt2 50k | [4] |
| Has High Perplexity | true | [5] |
| Progresses Sequentially | Steps | [5] |
| Resumed From | 8k Checkpoint | [5] |
| Fine Tuning on | Fineweb E2 | [6] |
| Loaded Weights From | Step 002000 | [6] |
| Recovering Quickly | Xenonfun | [6] |
| Starting at Step | 0 | [6] |
| Loading Checkpoint | Tinystories Step 002000 | [6] |
| Ongoing at Step6300 | Eta 115min | [7] |
| Is Running | true | [8] |
| Depends on | Model Safetensors | [8] |
| Has Val Ppl | 345.9 | [9] |
| Achieved New Best Ppl | 344.8 | [9] |
| Has Average Tok Per S | 11949 | [9] |
| Has Current Step | 16600 | [9] |
| Has Elapsed Time Min | 190.6 | [9] |
| Has Eta | 1min | [9] |
| Has Goal of | Minimizing Ppl | [9] |
| Has Learning Rate | 0.00000272 | [9] |
| Has Loss | 5.8529 | [9] |
| Has Previous Best Val Ppl | 345.9 | [9] |
| Has Progress Percentage | 99.5 | [9] |
| Has Step Time Ms | 670 | [9] |
| Has Tokens Per Second | 12233 | [9] |
| Has Total Tokens | 136675328 | [9] |
| Improved Ppl | Previous Best | [9] |
| Known to Have Low Ppl | 344.8 | [9] |
| Nears Completion | 99 Point 5 Percent | [9] |
| Presupposes Ongoing | Gpu Load | [9] |
| Saved Checkpoint to | checkpoints/fineweb_e2/step_016684 | [9] |
| Has Text Steps | 3477 | [10] |
| Is Efficient | 20.6 min | [10] |
| Achieved Completion | true | [10] |
| Has Best Val Ppl | 83.4 | [10] |
| Has Elapsed Time | 20.6 | [10] |
| Precedes | Model Inference | [10] |
| Has Final Val Loss | 4.4236 | [10] |
| Has Token Speed | 70787 | [10] |
| Reports Metrics | Final Validation Loss | [10] |
| Power Draw | 500 | [11] |
| Power Approximation | ~500W | [11] |
| Aimed at | Team Members | [13] |
| Intended Outcome | Familiarity With Features | [13] |
| Has Warm Up | Warm Up 10 15 Minutes | [14] |
| Has Shooting Drills | Shooting Drills 20 30 Minutes | [14] |
| Has Dribbling Drills | Dribbling Drills 20 30 Minutes | [14] |
| Has Cool Down | Cool Down 10 15 Minutes | [14] |
| Total Duration | 60-90 minutes | [14] |
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.
References (14)
ctx:discord/blah/watt-activation/part-6ctx:discord/blah/watt-activation/part-20ctx:discord/blah/watt-activation/part-33ctx:discord/blah/watt-activation/part-100ctx:discord/blah/watt-activation/part-134ctx:discord/blah/watt-activation/part-147ctx:discord/blah/watt-activation/part-158ctx:discord/blah/watt-activation/part-164ctx:discord/blah/watt-activation/part-161ctx:discord/blah/watt-activation/part-245ctx:discord/blah/watt-activation/72- full textwatt-activation-72text/plain3 KB
doc:agent/watt-activation-72/be13baaf-0d87-4d0d-9934-7f3b139089f7Show excerpt
[2026-03-07 17:40] xenonfun: All committed. Summary of what's in place: Committed (10 commits on kuramoto-gpt-performance): - NEXT_STEPS.md — detailed 4-phase plan - KURAMOTO_FINDINGS.md — full experimental record - bench_seqlen_sc…
ctx:discord/blah/watt-activation/166- full textwatt-activation-166text/plain3 KB
doc:agent/watt-activation-166/523e76f5-3827-45e2-9027-2ed22e28eb22Show excerpt
[2026-03-09 19:13] xenonfun: step 1500/22920 ep02/30 96.2% loss=5.3484 ppl= 210.3 lr=1.98e-05 667ms 12,290tok/s eta=238min VAL step 1500 loss=5.3808 ppl=217.2 ★ best ckpt step 1500 → step_001500 ``` Instruction: 'God said?…
ctx:claims/beam/1637051c-3221-4f2c-903f-1bd479158af9ctx:claims/lme/bae9589b-4dae-43e6-a05c-7d40430f5a8b- full textbeam-chunktext/plain19 KB
doc:beam/bae9589b-4dae-43e6-a05c-7d40430f5a8bShow excerpt
[Session date: 2023/06/17 (Sat) 07:39] User: I'm looking for some tips on injury prevention and recovery strategies for soccer players. I participate in the company's annual charity soccer tournament today, and I want to make sure I'm takin…
See also
- Experiment 16
- Akan Gpt2 50k
- Steps
- 8k Checkpoint
- Fineweb E2
- Step 002000
- Xenonfun
- Tinystories Step 002000
- Eta 115min
- Model Safetensors
- Minimizing Ppl
- Previous Best
- 99 Point 5 Percent
- Gpu Load
- Model Inference
- Final Validation Loss
- Device M3
- Device Amd 3060
- Fine Web
- Tiny Stories
- Educational Activity
- Team Members
- Familiarity With Features
- Training Plan
- Warm Up 10 15 Minutes
- Shooting Drills 20 30 Minutes
- Dribbling Drills 20 30 Minutes
- Cool Down 10 15 Minutes
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