Translations:BERT Pre-training of Deep Bidirectional Transformers/20/en: Difference between revisions

Latest revision as of 21:37, 27 April 2026

Information about message (contribute)

This message has no documentation. If you know where or how this message is used, you can help other translators by adding documentation to this message.

Message definition (BERT Pre-training of Deep Bidirectional Transformers)

Ablation studies demonstrated that both {{Term|pre-training}} tasks were important, and that bidirectionality was the most significant factor — removing it caused large drops across all tasks. Increasing model size consistently improved results, even on small-scale tasks when fine-tuned appropriately.

Ablation studies demonstrated that both pre-training tasks were important, and that bidirectionality was the most significant factor — removing it caused large drops across all tasks. Increasing model size consistently improved results, even on small-scale tasks when fine-tuned appropriately.

Revision as of 00:31, 27 April 2026 (view source) FuzzyBot (talk \| contribs) (Importing a new version from external source)		Latest revision as of 21:37, 27 April 2026 (view source) FuzzyBot (talk \| contribs) (Importing a new version from external source)
Line 1:		Line 1:
	Ablation studies demonstrated that both pre-training tasks were important, and that bidirectionality was the most significant factor — removing it caused large drops across all tasks. Increasing model size consistently improved results, even on small-scale tasks when fine-tuned appropriately.		Ablation studies demonstrated that both {{Term\|pre-training}} tasks were important, and that bidirectionality was the most significant factor — removing it caused large drops across all tasks. Increasing model size consistently improved results, even on small-scale tasks when fine-tuned appropriately.