Train Call
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Train Call has 20 facts recorded in Dontopedia across 4 references, with 5 live disagreements.
Mostly:argument(6), rdf:type(4), called on(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (4)
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.
containsCodeContains Code(1)
- Section 5 Train Model
ex:section-5-train-model
followsFollows(1)
- Evaluate Call
ex:evaluate-call
resultOfResult of(1)
- Trained State
ex:trained-state
usedByUsed by(1)
- Training Data
ex:training-data
Other facts (20)
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 |
|---|---|---|
| Argument | vectors | [2] |
| Argument | Model | [3] |
| Argument | Device | [3] |
| Argument | Loader | [3] |
| Argument | Optimizer | [3] |
| Argument | Epoch | [3] |
| Rdf:type | Method Call | [1] |
| Rdf:type | Function Call | [2] |
| Rdf:type | Function Call | [3] |
| Rdf:type | Method Call | [4] |
| Called on | Trainer | [1] |
| Called on | Module Instance | [4] |
| Method Name | train | [1] |
| Method Name | train_model | [4] |
| Function | index.train | [2] |
| Function | Train | [3] |
| Precedes | Evaluate Call | [1] |
| Has Argument | Training Data | [4] |
| Uses | Training Data | [4] |
| Produces | Trained State | [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.
References (4)
ctx:claims/beam/75f58362-300a-4d5c-94a5-4285b391366e- full textbeam-chunktext/plain1 KB
doc:beam/75f58362-300a-4d5c-94a5-4285b391366eShow excerpt
#### 3. Define Training Arguments ```python # Define training arguments training_args = TrainingArguments( output_dir='./results', num_train_epochs=3, per_device_train_batch_size=2, # Smaller batch size for CPU per_device_…
ctx:claims/beam/3aa97b5d-2401-4a53-a5d0-4cd1d9b8e042ctx:claims/beam/e949b3bf-5972-4a2e-ac8c-633577808057ctx:claims/beam/18e6c5b9-2160-4b21-9330-265fbb84e19d
See also
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