---
model-index:
- name: Existence Analysis
  results:
  - task:
      type: text-classification
    dataset:
      name: niltheory/ExistenceTypes
      type: parquet
    metrics:
    - name: AI2 Reasoning Challenge (25-Shot)
      type: AI2 Reasoning Challenge (25-Shot)
      value: 64.59
    source:
      name: Open LLM Leaderboard
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
language:
- en
metrics:
- accuracy
---

# 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.