Update README.md

README.md

@@ -10,9 +10,9 @@ datasets:
 - allenai/c4
 ---
 
-[Google's T5-v1.1-base](https://huggingface.co/google/t5-v1_1-base) pre-trained for 2^16 steps in [nanoT5](https://github.com/PiotrNawrot/nanoT5) library for efficient pre-training.
+[Google's T5-v1.1-base](https://huggingface.co/google/t5-v1_1-base) pre-trained for 24 hours (80k steps / 256 batch size) in [nanoT5](https://github.com/PiotrNawrot/nanoT5) library for efficient pre-training.
 
 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).
 
 This checkpoint was pre-trained on a single GPU for 20 hours. 
-It can be further fine-tuned on SuperNatural-Instructions dataset to achieve 95% of the performance of the same model pre-trained through "a combination of model and data parallelism [...] on slices of Cloud TPU Pods", each with 1024 TPUs.
+It can be further fine-tuned on SuperNatural-Instructions dataset to achieve comparable performance of 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.