val dataset
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
val dataset has 9 facts recorded in Dontopedia across 5 references, with 1 live disagreement.
Mostly:rdf:type(2), has bytes(1), derived from(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (6)
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.
createdForCreated for(1)
- Dataloader Objects
ex:dataloader-objects
hasPartHas Part(1)
- Tokenized Dataset
ex:tokenized-dataset
rdf:typeRdf:type(1)
- Validation Split
ex:validation-split
usedForUsed for(1)
- Dataloader Objects
ex:dataloader-objects
usesUses(1)
- Training Process
ex:training-process
usesDatasetUses Dataset(1)
- Model Training Script
ex:model-training-script
Other facts (8)
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 |
|---|---|---|
| Rdf:type | Validation Data | [2] |
| Rdf:type | Dataset | [4] |
| Has Bytes | 6459383 | [1] |
| Derived From | Tokenized Dataset | [2] |
| Assigned to | eval_dataset | [2] |
| Has Example Count | 3000 | [3] |
| Image Count | 5000 | [4] |
| Synonym | Validation Set | [5] |
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 (5)
ctx:discord/blah/watt-activation/part-420ctx:claims/beam/88c90684-e902-4bc6-a2dd-f749dde78552- full textbeam-chunktext/plain1 KB
doc:beam/88c90684-e902-4bc6-a2dd-f749dde78552Show excerpt
args=training_args, train_dataset=tokenized_dataset["train"], eval_dataset=tokenized_dataset["validation"] ) # Train the model trainer.train() ``` #### 3. Self-Hosted Model Deployment ##### Environment Setup - **Hardware**: …
ctx:discord/blah/watt-activation/168- full textwatt-activation-168text/plain3 KB
doc:agent/watt-activation-168/73ee12a6-c466-46d0-8fcc-aeb7b6f8614eShow excerpt
[2026-03-09 19:32] xenonfun: ``` [train] Tokenizing 186,015 examples... 20,000/186,015 (4,496,870 tokens) 40,000/186,015 (8,960,555 tokens) 60,000/186,015 (13,450,804 tokens) 80,000/186,015 (17,894,743 tokens) 100,000/186,015 …
ctx:discord/blah/watt-activation/251- full textwatt-activation-251text/plain1 KB
doc:agent/watt-activation-251/0d79165d-ca43-48df-b924-6b76b157d1a5Show excerpt
[2026-03-12 13:11] xenonfun: ✅ Phase 0 confirmed working — r_global rises monotonically from 0.07 → 0.96 across 16 steps on the production multimodal checkpoint. The architecture supports iterative generation. This is the green light to p…
ctx:claims/beam/cc1315f0-7954-44ad-96b4-19d6a2409d50- full textbeam-chunktext/plain933 B
doc:beam/cc1315f0-7954-44ad-96b4-19d6a2409d50Show excerpt
- Added an extra linear layer (`fc3`) to increase the depth of the model, allowing it to capture more complex patterns in the data. 4. **Weight Decay (L2 Regularization)**: - Included weight decay in the `optim.Adam` optimizer with a…
See also
Keep researching
Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.