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VBART-XLarge-QAQG

Text2Text Generation

Inference Endpoints

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meliksahturker commited on Mar 15

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@@ -41,7 +41,7 @@ The model is capable of conditional text generation tasks such as text summariza
 It outperforms its multilingual counterparts, albeit being much smaller than other implementations.
 VBART-XLarge is created by adding extra Transformer layers between the layers of VBART-Large. Hence it was able to transfer learned weights from the smaller model while doublings its number of layers.
-VBART-XLarge slightly improves the results compared to VBART-Large albeit in small margins.
 This repository contains fine-tuned TensorFlow and Safetensors weights of VBART for question-answering and generation tasks described in the [paper](https://doi.org/10.55730/1300-0632.3914).

 It outperforms its multilingual counterparts, albeit being much smaller than other implementations.
 VBART-XLarge is created by adding extra Transformer layers between the layers of VBART-Large. Hence it was able to transfer learned weights from the smaller model while doublings its number of layers.
+VBART-XLarge improves the results compared to VBART-Large albeit in small margins.
 This repository contains fine-tuned TensorFlow and Safetensors weights of VBART for question-answering and generation tasks described in the [paper](https://doi.org/10.55730/1300-0632.3914).