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Totto_t5_base_BLEURT_24k_steps
Tejas21/Totto_t5_base_BLEURT_24k_steps
Totto_t5_base_BLEURT_24k_steps is a machine learning model from Tejas21. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Apr 20, 2022
- Updated
- Apr 21, 2022
- SHA
- 1ac421c9
Model card
From the Hugging Face model README
language:
- en
tags:
- Table to text
- Data to text
Dataset:
- ToTTo A Controlled Table-to-Text Dataset. Totto is an open-source table-to-text dataset with over 1,20,000 examples in the English language. It defines a controlled generation task as: given a Wikipedia table and a set of highlighted cells, generate a one-sentence description.
Base Model - T5-Base
Google's T5 The T5 was built by the Google team in order to create a general-purpose model that can understand the text. The basic idea behind t5 was to deal with the text processing problem as a “text-to-text” problem, i.e. taking the text as input and producing new text as output.
Baseline Preprocessing
Baseline Preprocessing This code repository serves as a supplementary for the main repository, which can be used to do basic preprocessing of the Totto dataset.
Fine-tuning
We used the T5 for the conditional generation model to fine-tune with, 24000 steps with the ToTTo dataset using BLEURT as a metric.
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 20, 2022
- Updated
- Apr 21, 2022