meliksahturker
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README.md
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@@ -41,7 +41,7 @@ The model is capable of conditional text generation tasks such as text summariza
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It outperforms its multilingual counterparts, albeit being much smaller than other implementations.
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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.
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VBART-XLarge
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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).
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It outperforms its multilingual counterparts, albeit being much smaller than other implementations.
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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.
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VBART-XLarge improves the results compared to VBART-Large albeit in small margins.
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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).
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