Model Card: HuggingFace Text2SQL Model (Fine-tuned BART)
### Overview
- **Model Name**: HuggingFace Text2SQL Model (Fine-tuned BART)
- **Model Version**: 1.0
- **Model Objective**: Text-to-SQL Translation
- **Accuracy on Train Dataset (Text-to-SQL)**: 50.4%
- **Accuracy on Dev Dataset (Text-to-SQL)**: 49.7%
- **SQL Accuracy on Dev Dataset**: 51.1%
### Model Description
The HuggingFace Text2SQL model is based on the BART architecture, fine-tuned for the specific task of translating natural language questions into SQL queries. BART (Bidirectional and Auto-Regressive Transformers) is a transformer-based model originally developed by Facebook AI for various natural language processing tasks, including text generation and summarization. This model was fine-tuned on the SPIDER dataset, which provides pairs of natural language questions and their corresponding SQL queries. Additionally, the model leverages databases for executing the generated SQL queries, enabling it to verify the correctn…
Model Card: HuggingFace Text2SQL Model (Fine-tuned BART)
### Overview
- **Model Name**: HuggingFace Text2SQL Model (Fine-tuned BART)
- **Model Version**: 1.0
- **Model Objective**: Text-to-SQL Translation
- **Accuracy on Train Dataset (Text-to-SQL)**: 50.4%
- **Accuracy on Dev Dataset (Text-to-SQL)**: 49.7%
- **SQL Accuracy on Dev Dataset**: 51.1%
### Model Description
The HuggingFace Text2SQL model is based on the BART architecture, fine-tuned for the specific task of translating natural language questions into SQL queries. BART (Bidirectional and Auto-Regressive Transformers) is a transformer-based model originally developed by Facebook AI for various natural language processing tasks, including text generation and summarization. This model was fine-tuned on the SPIDER dataset, which provides pairs of natural language questions and their corresponding SQL queries. Additionally, the model leverages databases for executing the generated SQL queries, enabling it to verify the correctn…
