context
Part 24
ctx:discord/blah/random/part-24kind: custommode: permissive111 statements27 distinct subjects
No external document is attached to this context. (Many contexts are pure organisational labels.)
Facts in this context
Grouped by subject. Each subject links to its full article.
| causesFastCompletion | Gpu Acceleration |
| fasterThan | Second Training Run |
| hasAvgTimePerIter | 515ms |
| hasBatchSize | 128 |
| hasElapsedTime | 12s |
| hasFinalLr | 0.000003 |
| hasFinalPpl | 9.7 |
| hasFinalTrainLoss | 2.1372 |
| hasFinalValLoss | 2.2673 |
| hasInitialLoss | 2.2308 |
| hasInitialLr | 0.00003 |
| hasInitialPpl | 9.7 |
| hasInitialValLoss | 2.2683 |
| hasTotalTime | 12.5s |
| performedNumIters | 24 |
| resumedFrom | Checkpoint Bin |
| startsAtIteration | 1276 |
| targetsIterations | 1300 |
| usesGpuAcceleration | Metal Gpu |
| hasAvgTimePerIter | 1802ms |
| hasBatchSize | 64 |
| hasFinalTrainLoss | 2.3986 |
| hasFinalValLoss | 2.4532 |
| hasInitialTrainLoss | 2.4532 |
| hasInitialValLoss | 2.4435 |
| hasLrSchedule | 0.00003 → 0.000003 |
| hasTotalTime | 295.7s |
| savedCheckpoint | Checkpoint Bin |
| triggeredEarlyStopping | Early Stopping Val Loss |
| usesCpuFallback | |
Iter 8309 factsex:iter-830
| hasElapsedTime | 271s |
| hasEta | 304s |
| hasLoss | 2.4261 |
| hasLr | 0.000013 |
| hasPatience | 9/10 |
| hasPpl | 11.4 |
| hasTimePerIter | 1802ms |
| hasValLoss | 2.4313 |
| referencesBestLoss | 2.3954 |
Rust Gpt8 factsex:rust-gpt
| capableOfGpuTraining | |
| existsAsLightweightImplementation | |
| hasLineCount | <300 |
| hasParamCount | 4.77M |
| improvesLossOverIters | |
| linksToChangelog | Changelog Md |
| teleologicallyAimsAtTextGeneration | |
| usesTrainingVia | Candle Autograd |
Iter 8407 factsex:iter-840
| hasElapsedTime | 293s |
| hasEta | 287s |
| hasLoss | 2.4179 |
| hasLr | 0.000012 |
| hasPatience | 10/10 |
| hasPpl | 11.6 |
| hasValLoss | 2.4551 |
Iter 12996 factsex:iter-1299
| hasLoss | 2.1849 |
| hasLr | 0.000003 |
| hasPpl | 9.0 |
| hasTimePerIter | 515ms |
| hasValLoss | 2.1923 |
| referencesBestLoss | 2.1670 |
| hasBestLoss | 2.1730 |
| hasIteration | 1276 |
| hasStep | 1276 |
| savedAtIter | 840 |
| basedOn10EvalIntervals | |
| hasBestValLoss | 2.4295 |
| hasReason | hasn't improved for 10 eval intervals (100 iters) |
| evaluatesOutputAsOldEnglish | Generation Romeo 2 |
| interpretsAsArchaicEnglish | |
| postedMessageAt | 2026-02-17 05:09 |
| hasValue | 2.1670 |
| occursAtIteration | 1281 |
| generatedText | Once upon a timede tho the was ade pit.
Whin, soten prorinch wic |
| promptedWith | "Once upon a time" |
| generatedText | Once upon a timen the nigot te thour tho tor f alounere owith d tosen peredser len sher, |
| promptedWith | "Once upon a time" |
| generatedText | ROMEO:
O that sither wie inghin wis bos thets are the the no the |
| promptedWith | "ROMEO:" |
| generatedText | ROMEO:
Theth lathe bar hay celo and oonour ws praise d, hond bura that deres bloorst foure he ouery yor th |
| promptedWith | "ROMEO:" |
| generatedText | To be or not to be tof, heald, and band aremblites;
Whel shee we |
| promptedWith | "To be or not to be" |
| generatedText | To be or not to be adenour on, me werer alerd cousthe athe trer st wind iseas hes ouns al del an, lit lee s ilain s be |
| promptedWith | "To be or not to be" |
| hasUrl | https://github.com/MonumentalSystems/RandyGPT/blob/master/CHANGELOG.md |
| implicatesOngoingLearning | |
Prompts1 factex:prompts
| areShakespeareanAndFairyTale | |
Text1 factex:text
| presupposesSmallModelViability | |