Training Results
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Training Results has 10 facts recorded in Dontopedia across 6 references.
Mostly:expected soon(1), exceed prediction(1), achieves new best ppl(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.
anticipatesHumorInAnticipates Humor in(1)
- Ajaxdavis
ex:ajaxdavis
expressedPositiveEvaluationExpressed Positive Evaluation(1)
- Lisamegawatts
ex:lisamegawatts
likelyGeneratedByLikely Generated by(1)
- Mp3 Files
ex:mp3-files
performedPositiveAssessmentPerformed Positive Assessment(1)
- Ajaxdavis
ex:ajaxdavis
performsSpeechActOfReportPerforms Speech Act of Report(1)
- Xenonfun
ex:xenonfun
stores-artifactsStores Artifacts(1)
- Output Dir
ex:output-dir
Other facts (10)
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 |
|---|---|---|
| Expected Soon | true | [1] |
| Exceed Prediction | Rough Guess | [2] |
| Achieves New Best Ppl | 287.6 | [3] |
| Are Certain | null | [3] |
| Has Best Val Ppl | 297.5 | [3] |
| Has Final Ppl | 287.6 | [3] |
| Has Final Val Loss | 5.6617 | [3] |
| Show Continued Improvement Possible | null | [4] |
| Demonstrate Scaling | Delta Memory | [5] |
| Rdf:type | Model Checkpoints | [6] |
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 (6)
ctx:discord/blah/random/part-30ctx:discord/blah/watt-activation/part-49ctx:discord/blah/watt-activation/part-176ctx:discord/blah/watt-activation/part-483ctx:discord/blah/watt-activation/part-607ctx:claims/beam/9500e1c6-ed0c-41a2-ace0-794604c62109- full textbeam-chunktext/plain1 KB
doc:beam/9500e1c6-ed0c-41a2-ace0-794604c62109Show excerpt
- **Strategy**: Use `True` if your hardware supports it (e.g., NVIDIA GPUs with Tensor Cores). ### Example Configuration Here's an example configuration for fine-tuning Llama 2 13B: ```python from transformers import LlamaForCausalLM…
See also
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