Update README.md

README.md

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 [Google's T5-v1.1-base](https://huggingface.co/google/t5-v1_1-base) pre-trained for 24 hours (80k steps / 256 batch size) on a single GPU in [nanoT5](https://github.com/PiotrNawrot/nanoT5) library for efficient pre-training.
 
+For more details about training check out the [paper about this work.](https://arxiv.org/abs/2309.02373)
+
 For more details about the model refer to the original [paper](https://arxiv.org/pdf/2002.05202.pdf) and original [model weights](https://huggingface.co/google/t5-v1_1-base).
 
 It can be further fine-tuned on SuperNatural-Instructions dataset to achieve comparable performance to the same model pre-trained on 150x more data through "a combination of model and data parallelism [...] on slices of Cloud TPU Pods", each with 1024 TPUs.