Update README.md

README.md

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 # About RobBERTje
 RobBERTje is a collection of distilled models based on [RobBERT](http://github.com/iPieter/robbert). There are multiple models with different sizes and different training settings, which you can choose for your use-case.
 
-We are also continuously working on releasing better-performing models, so watch this page for updates.
+We are also continuously working on releasing better-performing models, so watch [the repository](http://github.com/iPieter/robbertje) for updates.
 
 # News
 - **July 2, 2021**: Publicly released 4 RobBERTje models.
@@ -35,14 +35,15 @@ We are also continuously working on releasing better-performing models, so watch
 # The models
 | Model        | Description | Parameters | Training size | Huggingface id                                                                     |
 |--------------|-------------|------------------|-------------------|------------------------------------------------------------------------------------|
-| Non-shuffled | Trained on the non-shuffled variant of the oscar corpus, without any operations to preserve this order during training and distillation.            | 74 M             | 1 GB              | [DTAI-KULeuven/robbertje-1-gb-non-shuffled](https://huggingface.co/DTAI-KULeuven/) |
-| Shuffled     | Trained on the publicly available and shuffled OSCAR corpus.            | 74 M             | 1 GB              | [DTAI-KULeuven/robbertje-1-gb-shuffled](https://huggingface.co/DTAI-KULeuven/)     |
-| Merged (p=0.5)       | Same as the non-shuffled variant, but sequential sentences of the same document are merged with a probability of 50%.           | 74 M             | 1 GB              | [DTAI-KULeuven/robbertje-1-gb-merged](https://huggingface.co/DTAI-KULeuven/)       |
-| BORT         | A smaller version with 8 attention heads instead of 12 and 4 layers instead of 6 (and 12 for RobBERT).            | 46 M             | 1 GB              | [DTAI-KULeuven/robbertje-1-gb-bort](https://huggingface.co/DTAI-KULeuven/)         |
+| Non-shuffled | Trained on the non-shuffled variant of the oscar corpus, without any operations to preserve this order during training and distillation.            | 74 M             | 1 GB              | this model |
+| Shuffled     | Trained on the publicly available and shuffled OSCAR corpus.            | 74 M             | 1 GB              | [DTAI-KULeuven/robbertje-1-gb-shuffled](https://huggingface.co/DTAI-KULeuven/robbertje-1-gb-shuffled)     |
+| Merged (p=0.5)       | Same as the non-shuffled variant, but sequential sentences of the same document are merged with a probability of 50%.           | 74 M             | 1 GB              | [DTAI-KULeuven/robbertje-1-gb-merged](https://huggingface.co/DTAI-KULeuven/robbertje-1-gb-merged)       |
+| BORT         | A smaller version with 8 attention heads instead of 12 and 4 layers instead of 6 (and 12 for RobBERT).            | 46 M             | 1 GB              | [DTAI-KULeuven/robbertje-1-gb-bort](https://huggingface.co/DTAI-KULeuven/robbertje-1-gb-bort)         |
 
 # Results
 
 ## Intrinsic results
+
 We calculated the _pseudo perplexity_ (PPPL) from [cite](), which is a built-in metric in our distillation library. This metric gives an indication of how well the model captures the input distribution.
 | Model             | PPPL      |
 |-------------------|-----------|