TAPEX: TabFact Data enabled Base Finetuned (Table Pre-training via Learning a Neural SQL Executor) Model
A base-sized TAPEX model fine-tuned on the TabFact dataset, tailored for verifying the factual accuracy of textual statements against tabular data.
About Model
The TAPEX Base Fine-Tuned on TabFact model is designed to assess the veracity of textual claims by cross-referencing them with structured tables. Utilizing the TabFact dataset, which includes tables and corresponding statements labeled as true or false, this model has been trained to perform detailed fact-checking by analyzing the relationships and data within tables. The fine-tuning process enables the model to handle diverse table formats and complex linguistic constructs, making it particularly useful for applications in automated fact-checking, data validation, and ensuring the integrity of information presented in textual formats.
TAPEX: TabFact Data enabled Base Finetuned (Table Pre-training via Learning a Neural SQL Executor) Model
Metadata
MIT
Qian Liu and Bei Chen and Jiaqi Guo and Morteza Ziyadi and Zeqi Lin and Weizhu Chen and Jian-Guang Lou
Fine-Tuned Model
N.A.
Open
Sector Agnostic
12/03/25 06:34:52
0
Activity Overview
0
4 
94 
0
Tags
- FactVerification
- TAPEX
- TabFact
- FineTunedModel
- DataValidation
- BART
- Transformers
- NaturalLanguageProcessing
License Control
MIT
More Models from Microsoft Corporation (India) Pvt. Ltd.
- 0
- 6
- 0
173
- 0
- 5
- 0
- 132
- 0
- 5
- 0
- 99
- 0
- 2
- 0
- 132
- 0
- 3
- 0
- 93
- 0
- 3
- 0
- 121
- 0
- 5
- 0
- 106
- 0
- 4
- 0
- 95
- 0
- 5
- 0
- 138
- 0
- 87
- 0
- 1,252
© 2026 - Copyright AIKosh. All rights reserved. This portal is developed by National e-Governance Division for AIKosh mission.