fix google t5 link

README.md

@@ -6,7 +6,7 @@ language:
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 An 11B T5 model trained on the [P3](https://huggingface.co/datasets/bigscience/P3) (T0 split) dataset for 20,000 steps with a batch size of 2048 a maximum input sequence length of 1024, a maximum output sequence length of 256, and the Adafactor optimizer with a constant learning rate of 0.001.
-The model is trained from the [T5 v1.1 lm-adapt checkpoint](https://huggingface.co/google/t5-xl-lm-adapt) and fully finetuned.
+The model is trained from the [T5 v1.1 lm-adapt checkpoint](https://huggingface.co/google/t5-xxl-lm-adapt) and fully finetuned.
 
 For more details, see [HINT: Hypernetwork Instruction Tuning for Efficient Zero- & Few-Shot Generalisation](https://arxiv.org/abs/2212.10315).