niltheory/ExistenceTypesAnalysis

Existence Analysis Model (EAM)

Created for: Compendium Terminum, IP
Base Model: bert-large-cased-whole-word-masking

Iterative Development

Iteration #1:

• Initial Model: Utilized distilBert for foundational training.
• Dataset Size: 96 entries.
• Outcome: Established baseline for accuracy metrics.

Iteration #2:

• Model Upgrade: Transitioned to bert-base-uncased from distilbert-base-uncased.
• Dataset Expansion: Increased from 96 to 296 entries.
• Performance: Improved accuracy scores; identified edge cases for refinement.

Iteration #3:

• Model Upgrade: Transitioned to bert-large-cased-whole-word-masking from bert-base-uncased.
• Advancements: Enhanced contextual sensitivity and accuracy.
• Results: Demonstrated more nuanced understanding and sensitivity in predictions.

Observations

• Each iteration has contributed to the model's evolving sophistication, leading to improved interpretive performance and accuracy.
• Continuous evaluation, especially in complex or ambiguous cases, is pivotal for future enhancements.