encoder-encoder -> encoder-decoder

In the [paper](https://arxiv.org/abs/2107.07653):
`TA PE X is conceptually simple and easy to implement. In this paper, we regard the pre-training as a sequence generation task and employ an encoder-decoder model`

README.md

@@ -14,7 +14,7 @@ TAPEX was proposed in [TAPEX: Table Pre-training via Learning a Neural SQL Execu
 
 TAPEX (**Ta**ble **P**re-training via **Ex**ecution) is a conceptually simple and empirically powerful pre-training approach to empower existing models with *table reasoning* skills. TAPEX realizes table pre-training by learning a neural SQL executor over a synthetic corpus, which is obtained by automatically synthesizing executable SQL queries.
 
-TAPEX is based on the BART architecture, the transformer encoder-encoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder.
+TAPEX is based on the BART architecture, the transformer encoder-decoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder.
 
 ## Intended Uses