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---
model-index:
- name: Existence Analysis
results:
- task:
type: text-classification
dataset:
name: niltheory/ExistenceTypes
type: parquet
metrics:
- name: Existence Analysis 00
type: Existence Analysis 00
value: 70.00
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.