readme: fix evaluation section

README.md

@@ -47,7 +47,7 @@ We evaluate the last 5 checkpoints (1M, 951k, 901k, 851k and 851k) with a recent
 | [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator)                                             |        69.26 | 87.82 ± 0.69 / 86.83 ± 0.62 | 62.3 ± 1.12 / 55.93 ± 0.67  | 62.61 ± 1.21 / 80.85 ± 0.59 | 52.51 ± 0.86 / 65.2 ± 0.85  |
 | [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base)                                                                 |        68.96 | 90.35 ± 0.23 / 90.14 ± 0.2  | 60.95 ± 1.4 / 57.52 ± 1.97  | 50.64 ± 1.69 / 74.55 ± 0.9  | 57.82 ± 1.35 / 69.68 ± 1.02 |
 
-Our pretrained BERT model shows a strong performance across all tasks. All detailed results can be found in [this](https://huggingface.co/datasets/model-garden-lms/finewebs-scandeval-results) dataset repository.
+Our pretrained Token Dropping BERT model shows only a strong performance over the original BERT model. All detailed results can be found in [this](https://huggingface.co/datasets/model-garden-lms/finewebs-scandeval-results) dataset repository.
 
 # ❤️ Acknowledgements